Data Engineer Jobs in San Francisco.
All active Data Engineer roles based in San Francisco.
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Principal Software Engineer (PaaS)
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.
As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.
We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.
What You’ll Do:
- Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
- Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
- Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
- Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
- Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
- Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
- Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.
Key Metrics:
- Platform availability and system performance
- Developer adoption and satisfaction
- Technical debt reduction and architectural clarity
- Engineering velocity and cross-team alignment
What You’ll Add to DigitalOcean:
- 11+ years of experience designing and building distributed systems at scale.
- Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
- Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
- Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.
Compensation Range:
- $227,040 - $283,800
*This is a remote role
JR: 2025-7225
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Staff Forward Deployed Engineer
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.
As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.
You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.
What you’ll do:
- Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
- Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
- Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
- Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
- New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
- Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
- Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.
Key Metrics
- Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
- Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
- Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
- Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.
What You’ll Add to DigitalOcean:
- AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
- Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
- High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
- Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
- Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
- Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.
Preferred
- Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
- A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
- Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
- Active contributor to open-source AI projects or technical communities.
Compensation Range:
- $195,000 - $239,000
*This is a remote role
JR: 2026-7748
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Cloud Operations Administrator - II
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a remote role
JR: 2026-7423
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Our Mission:
6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.
About the Position
At 6sense, the Post-Sales Solutions Architect is a critical partner to our Strategic and Enterprise Customer Success Management teams, focused exclusively on supporting existing customers throughout their journey with us. This role blends deep technical acumen with strong customer engagement skills to lead architecture design, optimize platform adoption, and ensure our customers realize the full value of their investment.
You'll work directly with our largest and most complex accounts, helping them integrate and scale their use of 6sense by designing innovative solutions, advising on best practices, and serving as a trusted technical advisor post-sale. This is a high-impact, customer-facing role designed to drive retention, value delivery, and long-term growth.
Key Responsibilities
- Partner with Strategic and Enterprise CSMs to lead post-sale technical activities, including product enablement, demos, proof-of-value workshops, and advanced use case development.
- Facilitate architecture design sessions and platform integration planning, aligning customer objectives to 6sense solutions.
- Document business and technical requirements, and clearly communicate the business value of 6sense capabilities to technical and executive stakeholders.
- Serve as a technical liaison between Customer Success, Product, and Delivery teams to ensure a seamless customer experience.
- Lead solution design for multi-product implementations, systems integrations, and data architecture within existing customer environments.
- Proactively identify technical optimization opportunities to improve customer outcomes and platform ROI.
- Contribute feedback to product management and engineering teams, and help evolve internal tooling and processes for customer delivery.
- Build reports and dashboards that help customers track progress, optimize performance, and make data-driven decisions.
Requirements
- 5+ years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Pre/Post-Sales Engineer.
- Deep technical expertise in solution architecture, data integration, and enterprise software.
- Strong interpersonal and communication skills; able to build trust and articulate complex solutions to both technical and business audiences.
- Experience with CRM systems such as Salesforce, Microsoft Dynamics, or SAP.
- Familiarity with marketing automation tools (Marketo, Eloqua, Pardot, Hubspot) and Customer Data Platforms (Adobe Experience Platform, Segment, etc.).
- Experience with ETL/ELT tools (Informatica, DataStage, Netezza) and data visualization tools (Tableau, Looker, Power BI).
- Working knowledge of cloud infrastructure (AWS, Azure, GCP), REST/SOAP APIs, and integration platforms (MuleSoft, Zapier, Dell Boomi).
- Proficiency in programming/scripting languages such as Python, Java, or C++.
Nice to Haves
- Strong problem-solving skills with a customer-first mindset.
- A track record of influencing customer outcomes through consultative engagement.
- Experience supporting SaaS adoption, expansion, or renewal in large-scale enterprise accounts.
- Ability to prioritize and execute across multiple customer projects while managing stakeholder expectations.
Base Salary Range: $139,035.00 - $180,918.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote
Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com
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Field Quality Engineer, Energy Storage
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About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
Field Quality Engineer, Energy Storage
Redwood Materials is currently searching for a Field Quality Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will be responsible for ensuring the quality, reliability, and safety of deployed Battery Energy Storage System (BESS) assets by identifying, investigating, and preventing field issues. This role works closely with Operations & Maintenance (O&M) teams that perform routine monitoring and maintenance, and with Service Engineering, which owns advanced technical escalation.
The Field Quality Engineer serves as the frontline quality owner in the field, focusing on identifying systemic quality issues, conducting structured investigations, and driving corrective and preventive actions. This role plays a critical part in reducing repeat failures, improving fleet reliability, and feeding real world learnings back into engineering, suppliers, and operational processes. You’re a doer, excited about getting your hands dirty and working in a dynamic, fast-paced setting, and want to shape a new department at Redwood.
Responsibilities will include:
- Serve as the primary point of contact for field identified quality issues across operating BESS assets
- Lead structured investigations into recurring failures, abnormal trends, or field incidents in collaboration with O&M and Service Engineering
- Perform root cause analyses using established methodologies (e.g., 5 Whys, Fishbone, fault tree analysis)
- Develop and document clear problem statements supported by data, field evidence, and technical observations
- Define, track, and verify corrective and preventive actions to address field quality issues
- Verify effectiveness of corrective actions through follow-up inspections, audits, and data analysis
- Support development and tracking of quality KPIs such as repeat failure rates, defect trends, and corrective action closure
- Drive continuous improvement initiatives to reduce operational burden on O&M and improve system reliability
Desired Qualifications:
- Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or a related technical field
- 5+ years of experience in field quality, reliability engineering, service engineering, or commissioning support for complex electromechanical or energy systems
- Demonstrated experience supporting field-deployed assets such as Battery Energy Storage Systems (BESS), power electronics, renewable energy systems, or industrial electrical equipment
- Experience working directly with field operations, O&M technicians, and service engineering teams in a production or operational environment
- Working knowledge of root cause analysis methodologies (e.g., 5 Whys, Fishbone, fault trees) and corrective/preventive action (CAPA) processes
- Familiarity with field inspection procedures, commissioning documentation, and service records
- A passion for sustainability and making the world a better place!
Physical Requirements:
- Ability to perform essential physical tasks such as climbing ladders, standing, stooping, bending, kneeling, and walking for extended periods in industrial environments
Working Conditions:
- Valid driver’s license and ability to travel to field locations; frequent travel required up to 40%
- Ability to work in conditions that may include exposure to noise, dust, chemicals, and temperature extremes, while wearing appropriate PPE for extended periods of time
- Availability to work weekends, nights, or on- call as needed
In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Ready to apply?
Apply to Redwood Materials
Senior Software Engineer, Energy Storage
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About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
Senior Software Engineer, Energy Storage
This position is on a team building the software platform that powers optimized control and market participation of battery energy storage systems (BESS) — software that runs both on site controllers and in the cloud. Our scope spans the full stack: compute infrastructure, telemetry, asset modeling, alerting, feature ingestion and storage for forecasting and optimization, simulation and operational control orchestration, and integration with energy markets. We're a lean team that holds ourselves to high standards in both the quality of what we build and the speed at which we build it. We value collaboration, trust, learning, and engineering excellence, and we genuinely enjoy building great things together.
Responsibilities will include:
- Contribute to BESS data engineering — building and maintaining telemetry pipelines and stores, and feature ingestion and storage systems for forecasting and optimization
- Design, build, and maintain simulation and training infrastructure — platforms for running and orchestrating simulations at scale
- Develop and operate real-time forecast and optimization workflows, orchestrating pipelines that drive BESS operations
- Support energy market integration, including data ingestion and bid management
- Collaborate across the full stack and across team boundaries to ensure the product system works well as a whole
- Write well-tested, well-monitored software and iteratively improve it over time
- Apply AI tools to accelerate development while maintaining high system design quality and code standards
Desired Qualifications:
- Strong software design instincts — thinks in systems, reasons from first principles, and understands the real-world challenges of building available, reliable, scalable, and secure distributed systems
- Comfortable using AI tools to move faster without letting them erode system design or code quality
- Excellent collaborator — communicates clearly, listens well, and makes the people around them better
- Bias toward action — takes initiative, makes progress in ambiguous situations, and doesn't wait for perfect information
- Systems thinker and owner — willing to think and collaborate across team boundaries to make sure the product works well as a whole
- Rigorous about quality — writes well-tested, well-monitored software and iterates on it over time
- B.S. or advanced degree in Software Engineering, Computer Science, or another discipline, combined with 2-5 years of experience in software engineering.
- Experience with relevant technologies a plus: Kubernetes, Rust, Python, NATS, PostgreSQL/TimescaleDB, SQLite
- A passion for sustainability and making the world a better place!
In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Ready to apply?
Apply to Redwood Materials
Software Validation Engineer, Energy Storage
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About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
Software Validation Engineer, Energy Storage
The Redwood Vision: Architecting the Future of the Grid
We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment.
As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability.
Key Responsibilities
- Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
- Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
- V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
- CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
- Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
- Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues
Qualifications
- Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
- HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
- Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
- Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
- Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
- Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments
In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Ready to apply?
Apply to Redwood Materials
Infrastructure Software Engineer, Energy Storage
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About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
Infrastructure Software Engineer, Energy Storage
The Infrastructure Engineer is responsible for designing, building, and maintaining the foundational platform infrastructure that enables our engineering team to develop and deploy Battery Energy Storage Systems reliably and at scale. This role serves as a force-multiplier across the organization, owning edge fleet management, server provisioning, and deployment automation while ensuring systems are secure, scalable, and performant. The position partners closely with cross-functional engineering teams to translate early deployment learnings into platform improvements and drive resolution of scalability, reliability, and security challenges. Success in this role requires deep technical expertise, a collaborative mindset, and the ability to thrive in an ambiguous, fast-paced, early-stage environment.
Responsibilities will include:
- Design and own the rollout of edge Kubernetes fleet management, automated server provisioning, and software update pipelines to support scalable and reliable system deployment.
- Evaluate server hardware and operating systems to help define the architecture of the organization's next-generation energy storage platform.
- Identify and resolve hard infrastructure problems, including scalability bottlenecks, reliability gaps, performance issues, and security vulnerabilities.
- Build and maintain tooling and services used to validate software systems at scale, including performance and reliability testing frameworks.
- Serve as a technical resource for the broader engineering team through pair programming, in-office working sessions, and hands-on project leadership.
- Translate learnings from early deployments and customer pilots into concrete, measurable improvements to platform infrastructure.
- Reinforce a team culture grounded in engineering excellence, curiosity, inclusivity, and a willingness to take action and learn from mistakes.
Desired Qualifications:
- 5+ years of relevant industry experience in infrastructure, platform, or site reliability engineering.
- Strong grasp of system design principles and real-world experience building available, reliable, scalable, and secure distributed systems.
- Experience designing, implementing, and maintaining secure network systems and infrastructure.
- Genuine interest in server hardware fundamentals and how software and hardware interact at the platform level.
- Ability to work comfortably with ambiguity, prototype solutions iteratively, and learn rapidly from early-stage work.
- Strong written and verbal communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences.
- Ability to manage multiple workstreams, shifting priorities, and competing deadlines in a fast-paced, early-stage environment.
In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Ready to apply?
Apply to Redwood Materials
Staff Software Engineer, Core Products
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
About the Role:
We're looking for seasoned full-stack software engineers to join the teams behind Gusto's customer-facing products — the features and experiences that small business owners and their employees rely on every day.
As a Staff Software Engineer, you'll operate across the full product lifecycle: shaping features from early spec and design through to launch and long-term iteration. That means writing clean frontend code, designing and building reliable backend APIs, influencing product direction, and taking ownership of what happens after a feature ships.
If you're drawn to work that combines technical craft with real-world impact — helping power the livelihoods of millions using Gusto products — join us!
Here’s what you’ll do day-to-day:
- Design, build, and test Gusto core products such as Payroll, Benefits, HR, Retirement, Gusto Money, Gusto Solo, and Gusto Pro, among others
- Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale
- Help scale one of the largest Ruby/Rails and Javascript/React applications in the world
- Collaborate with our Product Management, Data, Design, and Platform Engineering teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily
- Build products that our customers genuinely love
Here’s what we’re looking for:
- Successful applicants typically have 8+ years of software development experience
- Experience building scalable solutions that eliminate customer pain; passion for creating memorable experiences for customers
- Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new product capabilities
- Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
- Experience owning multi-quarter projects that solve complex engineering problems and make measurable customer impact at scale
- Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your product area
- Ability to mentor engineers to maximize their performance and impact
Others:
- Experience in, or interest working in, Ruby on Rails
- Appreciation for a collaborative, test-driven environment
- Ability to build well-structured, maintainable, well-documented code
- Ability to effectively communicate across engineering teams and with business stakeholders
Do you prefer platform development instead? Check out our Staff Software Engineer, Core Platforms job listing.
Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.
Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
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Apply to Gusto, Inc.
Service Engineer, Energy Storage
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About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
Service Engineer, Energy Storage
Position Summary:
Redwood Materials is currently searching for a Service Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will be responsible for resolving complex technical issues across deployed Battery Energy Storage Systems (BESS). This role supports an Operations and Maintenance (O&M) organization that performs routine monitoring, preventive maintenance, and first-line troubleshooting. Service Engineering serves as the technical escalation path for O&M, owning deep diagnostics, system-level failure analysis, and engineering-driven corrective actions.
The Service Engineer ensures safe, reliable, and high-performing asset operation by bridging field operations and engineering, translating operational issues into engineering solutions, and feeding field learnings back into product and system design. This role has the potential of growing into leadership as the team grows.
The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on both technical and leadership challenges. You’re a leader and a doer, excited about working in a dynamic, fast-paced setting, and want to shape the electrical engineering function within a new department at Redwood.
Essential Duties and Responsibilities:
- Act as the primary technical escalation point for the O&M organization for issues beyond standard operating procedures
- Define clear handoff criteria, escalation thresholds, and response expectations between O&M and Service Engineering
- Lead, mentor, and scale a team of Service Engineers providing tier-2 and tier-3 technical support
- Own investigation and resolution of complex electrical, controls, software, thermal, and system-integration issues
- Translate field and O&M feedback into actionable requirements for Product, Systems, and R&D Engineering teams
- Drive improvements in system serviceability, reliability, and maintainability through design and process changes
- Own advanced service documentation including troubleshooting guides, decision trees, and service bulletins
- Develop technical training materials and support O&M team upskilling on new systems, upgrades, and known issues
Desired Qualifications:
- Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or a related technical discipline
- 7+ years of experience supporting complex electromechanical or power electronics systems (BESS, renewable energy, industrial systems)
- Deep understanding of BESS system architecture, including batteries, PCS/inverters, EMS, thermal management, and protection systems
- Proven experience operating in a tiered support model (O&M → Service Engineering → Product Engineering)
- A Passion for sustainability and making the world a better place!
Physical Requirements:
- Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
- Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards
Working Conditions:
- Environment, such as office or outdoors
- Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
- Essential physical requirements, such as climbing, standing, stooping, or typing
- Occasional work weekends, nights, or be on-call as a regular part of the job
- Travel requirements, up to 40%
In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Ready to apply?
Apply to Redwood Materials
Project Engineer, Energy Storage
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About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
Project Engineer, Energy Storage
Position Summary:
Redwood Materials is currently searching for a Project Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will own the full project lifecycle - from commercial scoping and BD handoff through engineering, procurement, construction, commissioning, and structured handoff to Operations and Maintenance - for a growing portfolio of utility-scale and behind-the-meter storage projects.
You are the connective tissue between Business Development, Product Engineering, EPC partners, and customers. You drive schedule, manage risk, and ensure every project is delivered on time, on budget, and to spec.
The ideal candidate is highly self-driven, adaptable to a startup environment, and comfortable operating where processes are still being built. You’re a doer and a builder, excited about working in a dynamic, fast-paced setting, and want to shape how Redwood delivers energy storage projects at scale.
Essential Duties and Responsibilities
- Drive end-to-end project execution from requirements scoping and BD handoff through engineering, procurement, construction, commissioning, and O&M handoff
- Own the integrated end-to-end schedule, budget tracker, and risk register for each assigned project; proactively identify and escalate schedule or cost risks
- Serve as the primary interface between Business Development, Product Engineering, EPC partners, and customers across all project phases
- Track RFI and submittal workflows, change order logs, permitting, interconnection coordination, and all contractual project deliverables
- Partner with Product Engineering on equipment selection, BOM alignment, and technical scope definition for each project
- Oversee commissioning readiness and test plan execution; manage structured handoff documentation to O&M
- Maintain project data in Smartsheet, SharePoint, and relevant PM tooling; provide S&OP planning inputs and deployment forecasting to leadership
- Capture lessons learned and contribute to the development of repeatable delivery templates, checklists, and execution standards
Desired Qualifications:
- Bachelor’s degree in Engineering, Program Management, Business, or a related discipline
- 5+ years of program management experience in energy storage, renewable energy, or utility-scale power infrastructure
- Demonstrated experience managing projects from scoping through commissioning and O&M handoff, with ownership of schedule, budget, and risk
- Strong cross-functional communication skills - comfortable managing up, down, and across EPC, customer, and internal engineering teams
- A Passion for sustainability and making the world a better place!
Physical Requirements:
- Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
- Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards
Working Conditions:
- Hybrid office environment (San Francisco, CA) with regular travel to project sites
- Ability to work in varying site conditions which may include exposure to noise, dust, and temperature extremes while visiting active BESS construction and commissioning sites
- Essential physical requirements, such as climbing, standing, stooping, or typing
- Occasional work on weekends or after hours to meet project milestones
- Travel requirements, up to 25% - primarily to project sites across the U.S.
In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Ready to apply?
Apply to Redwood Materials
About Zipline
Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.
Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.
About You and The Role
Do you thrive in high-pressure environments where every minute counts and your decisions directly impact life-saving deliveries? The Service Engineering team sits at the critical nexus between operations and engineering, serving as the first line of technical support for our global fleet of aircraft, droids, and docks. When assets go down, customers can't receive essential supplies—there's no room for delay.
Our Service Engineers are the elite troubleshooters who ensure grounded assets return to service with maximum velocity and quality. You'll work in 24/7 shift operations, serving as the primary technical lead who coordinates cross-team resources, diagnoses complex technical issues, and maintains the operational tempo that keeps Zipline flying around the world.
This role operates under strict regulatory requirements (FAA Part 135) and demanding performance targets to minimize time to service restoration and maximizing first-time fix rates. You'll serve both Flight Test and Commercial Operations, making your work essential to every delivery we make.
What You'll Do
As a Service Engineer, you'll lead technical response as the primary technical lead for grounded assets, coordinating cross-team resources and driving resolution with urgency and precision. Your systematic troubleshooting approach will use approved procedures and diagnostic tools to identify root causes and implement solutions for aircraft, droid, and dock systems. Working in 24/7 shift operations forms a core part of your responsibilities, including comprehensive handovers, on-call duties, and emergency response protocols to maintain continuous coverage.
You'll coordinate cross-team escalation to engineering support and maintenance teams, creating work orders and ensuring smooth handoffs when physical maintenance is required. Log analysis and diagnostics will become second nature as you identify patterns, troubleshoot complex technical issues, and generate reports that drive continuous improvement. Maintaining regulatory compliance with FAA Part 135 operations, CAMP requirements, and repairman certification standards ensures all documentation meets aviation industry standards.
Driving continuous improvement will be central to your role as you contribute to troubleshooting guides, identify automation opportunities, and provide feedback to design engineering on system improvements. You'll operate advanced tools including the Zipline ERP (Zerp) platform, Fleet Apps, incident.io, and Jira to track assets, manage incidents, and coordinate with global teams. Asset triage and prioritization will maximize operational impact, ensuring critical assets return to service first while managing multiple incidents simultaneously.
Documentation and tracking of all troubleshooting activities, resolutions, and lessons learned builds institutional knowledge and supports regulatory requirements.
What You'll Bring
- Your technical background in mechanical, electrical, software, mechatronics, aerospace or systems engineering should demonstrate ability to quickly learn complex technical systems and troubleshoot under pressure.
- Strong analytical and problem-solving skills with experience in systematic troubleshooting, root cause analysis, and technical documentation are essential.
- Operations or maintenance experience with complex systems in high-stakes environments where downtime has significant impact, will prepare you for this role.
- Excellent communication and coordination skills with proven ability to lead technical response, coordinate cross-functional teams, and communicate effectively under pressure are crucial.
- Data analysis capabilities with experience in log analysis, performance metrics, and basic scripting or SQL for troubleshooting and reporting will enhance your effectiveness.
- A continuous improvement mindset with demonstrated ability to identify process improvements, contribute to documentation, and drive operational excellence aligns with our culture.
- Adaptability and resilience to thrive in a rapidly changing environment where procedures, tools, and priorities evolve frequently is essential.
- Customer impact focus with understanding that your work directly affects life-saving deliveries and operational reliability drives everything we do.
Preferred Qualifications
- Technical writing skills with experience creating troubleshooting guides, procedures, and technical documentation support our documentation-driven culture.
- Multi-site operations experience supporting distributed teams and assets across multiple time zones matches our global operations.
- Automation and tooling experience with process improvement, script development, or system integration contributes to our continuous improvement efforts.
What Else You Need to Know
The starting cash range for this role is $90,000 - $155,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.
This role requires working 24/7 shift operations including nights, weekends, and holidays as part of our continuous coverage model. You'll participate in on-call rotations and must be available for rapid response when critical assets are grounded.
The position operates under strict performance metrics and regulatory requirements. You'll work in a fast-paced, high-stakes environment where your decisions directly impact customer deliveries and operational safety.
Ability to sit (or stand at a standing desk) for long periods of time to review tickets, conduct analysis and coordinate solutions with engineers when needed.
Travel may be required occasionally for training, certification, or site support activities (10%).
You are eligible to work in the US.
Ready to apply?
Apply to Zipline
Lead Software Engineer, Identity
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WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
The Opportunity
At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale
We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.
You Will:
- Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
- Develop and optimize event-driven pipelines and workflows processing billions of signals.
- Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
- Ensure reliability, observability, and scalability across services and data pipelines.
- Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
- Mentor engineers and influence architecture and roadmap
You Have:
- 5+ years of experience in backend and/or data engineering at scale.
- Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
- Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
- Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
- Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
- Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase).
- Strong communication skills and a track record of driving technical direction and mentoring teams.
Bonus Skills:
- Experience with large-scale or multi-tenant distributed systems.
- Exposure to real-time streaming frameworks (Flink, Storm).
- Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
- Background in security, compliance, or privacy related to identity systems.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $150,000 - $200,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
#LI-DD1
Ready to apply?
Apply to Zeta GlobalLead Software Engineer, Identity
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WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
The Opportunity
At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale
We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.
You Will:
- Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
- Develop and optimize event-driven pipelines and workflows processing billions of signals.
- Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
- Ensure reliability, observability, and scalability across services and data pipelines.
- Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
- Mentor engineers and influence architecture and roadmap
You Have:
- 5+ years of experience in backend and/or data engineering at scale.
- Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
- Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
- Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
- Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
- Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase).
- Strong communication skills and a track record of driving technical direction and mentoring teams.
Bonus Skills:
- Experience with large-scale or multi-tenant distributed systems.
- Exposure to real-time streaming frameworks (Flink, Storm).
- Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
- Background in security, compliance, or privacy related to identity systems.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $150,000 - $200,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
#LI-DD1
Ready to apply?
Apply to Zeta GlobalResearch Engineer – Training Infra
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About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
THE ROLE
As an Applied Research Engineer at Snorkel AI, you will own the infrastructure that powers our model training and evaluation work. This is a hands-on role where you will build and operate GPU cluster infrastructure, training pipelines, and the tooling that allows our research and engineering teams to run experiments reliably and at scale. You will work closely with research scientists and engineers, translating training requirements into robust, reproducible systems—and proactively removing infrastructure blockers before they slow down the work that matters most.
Snorkel AI operates in a fast-paced, high-impact environment. We are looking for someone who takes pride in operational excellence, loves solving complex distributed systems problems, and thrives when given real ownership.
Location: Redwood City or San Francisco — OR REMOTE
MAIN RESPONSIBILITIES
- Set up and manage GPU cluster infrastructure on major cloud providers (e.g., AWS HyperPod) for distributed model training, including networking, provisioning, and cost tracking.
- Build and operate job orchestration and scheduling systems (e.g., Kubernetes, Slurm, or cloud-native equivalents) to reliably launch and manage training, rollout, and evaluation jobs across multi-node clusters.
- Integrate and maintain ML training frameworks and post-training pipelines, ensuring they run stably and reproducibly at scale.
- Set up and maintain experiment tracking, dataset versioning, and model artifact management to support fast iteration.
- Monitor and optimize cluster health, inter-node communication, and resource utilization; implement fault tolerance and auto-recovery so long-running jobs survive node failures.
- Work closely with research scientists and ML engineers to understand requirements, unblock experiments, and evolve infrastructure as our training workloads needs change.
PREFERRED QUALIFICATIONS
- Hands-on experience managing GPU clusters on major cloud providers, including provisioning, network configuration, and cost management.
- Experience with distributed compute orchestration tools such as Kubernetes, Slurm, or equivalent cluster management systems.
- Working knowledge of distributed training concepts: parallelism strategies, memory optimization techniques, and inter-node communication.
- Experience with setting up, managing, and integrating ML experiment tracking and data/model versioning tools..
- Strong Python proficiency and solid software engineering fundamentals such as version control, modular design, and automation.
- Ability to work in a fast-moving, iterative environment and take end-to-end ownership of ambiguous infrastructure problems.
- Hands-on experience with post-training workflows such as supervised fine-tuning (SFT) or reinforcement learning (RLHF, GRPO, or similar) is a strong plus, but not required.
This role is a great fit for engineers who love building reliable systems close to the frontier of AI research. We welcome applicants from a wide range of backgrounds—whether your experience comes from industry, research labs, or direct hands-on work with distributed infrastructure at scale.
BE YOUR BEST AT SNORKEL
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Ready to apply?
Apply to Snorkel AIAbout Mixpanel
Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.
About the DevInfra Team
The DevInfra team is Mixpanel’s platform engineering team. Our mission is to be a force multiplier for Mixpanel engineering as a whole. We achieve this by partnering with our engineering teams to build a world-class software development life cycle together.
About the Role
We are looking for an engineer with a strong track record of solving tooling pain points, automating away toil, and helping teams deliver software faster, more safely, and more reliably. Someone who is energized by supporting their fellow engineers. An engineer who has good taste and leverages AI to great effect without generating slop. Frequent forays into uncharted territory requires our team to be highly adaptable and always ready to learn. We serve as trailblazers for the rest of Mixpanel engineering.
Responsibilities
- We partner with a wide variety of teams to build out their software development lifecycle to be optimized for speed, safety, and reliability. We support teams writing front-end UI code as well as teams maintaining our highly stateful storage systems deep in our stack.
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We are responsible for deploying AI tools like Claude Code to our entire engineering team. We are building agents into our platform to do things like augment on-call response and automatically one-shot bugs that come through a team’s triage queue.
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We support systems that ingest more than 1 Trillion user-generated events every month while balancing low end-to-end query latency. Mixpanel queries typically scan more than 1 Quadrillion events over the span of a month. More details in this blog post.
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Mixpanel runs entirely on Google Cloud Platform and Google Kubernetes Engine. DevInfra is the overall admin for our cloud environment, so we wear many hats. We are responsible for things like Terraform, cost management, networking, and security best practices.
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We are the overall service owner for Kubernetes. Individual teams are responsible for maintaining and monitoring their own clusters and workloads. We are responsible for setting standards for deployment, observability, and developer experience. We facilitate efforts like Kubernetes version upgrades and helping teams adopt new Google Kubernetes Engine features.
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Service ownership of our observability pipelines. We have instrumented over 30 million Prometheus metrics time series and use Open Telemetry to ingest over 4 billion distributed tracing spans per month. An example: How We Migrated from StatsD to Prometheus in One Month.
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We maintain our GitHub Actions based CI/CD pipelines. We maintain a robust GitHub-native delivery process that empowers teams to self-serve their needs while ensuring safety and reliability. See this blog post for an example.
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We maintain our devbox system that provisions cloud development environments for individual developers.
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We procure best in breed SaaS tooling for the rest of engineering. We own our relationship with GitHub, Honeycomb, Chronosphere, Sentry, and more.
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We run the new engineer onboarding process. If you join us, your first meeting will probably be with us!
We're Looking For Someone Who Has
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3+ years of industry experience.
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Experience with at least one of: Go, Python, or JavaScript/TypeScript.
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Production experience working with Kubernetes.
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Production experience managing infrastructure in a major cloud provider such as Google Cloud Platform, Amazon Web Services, or Azure. Preferably Google Cloud Platform.
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Knowledgeable about coding agents like Claude Code
Bonus Points
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Experience with observability solutions like OpenTelemetry, Prometheus, or Distributed Tracing for application monitoring and performance analysis.
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Experience with service mesh.
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You write excellent docs.
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Proficient with GitHub Actions and the GitHub ecosystem.
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Experience building deployment pipelines. We love GitOps!
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Bazel expertise.
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Experience with Terraform.
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Experience with cloud Identity and Access Management (IAM) systems and knowledgeable about security best practices.
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Experience implementing Internal Developer Platforms like Backstage.
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Working knowledge of site reliability engineering (SRE) principles such as implementing Service Level Objectives (SLOs).
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You ❤️ open source.
Compensation
The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.
Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.
Benefits and Perks
- Comprehensive Medical, Vision, and Dental Care
- Mental Wellness Benefit
- Generous Vacation Policy & Additional Company Holidays
- Enhanced Parental Leave
- Volunteer Time Off
- Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
*please note that benefits and perks for contract positions will vary*
Culture Values
- Make Bold Bets: We choose courageous action over comfortable progress.
- Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
- One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
- Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
- Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
- Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.
Why choose Mixpanel?
We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.
Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.
Ready to apply?
Apply to MixpanelWho we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
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See yourself at Twilio
Join the team as a Software Engineer for Stytch, where you'll shape the next generation of identity products.
About the job
As a Fullstack Software Engineer, you will shape the next generation of the Stytch product as we bring Stytch’s capabilities to Twilio’s full customer base, delivering secure, developer-first identity experiences. Your focus will be the onboarding and integration experience for our customers - you’ll make it fast and delightful for developers to integrate Stytch and for end users to complete authentication and authorization flows, including emerging agentic and non-human identity use cases. This is a rare chance to operate like a startup within Twilio: you’ll work in a high-ownership environment with startup speed, backed by Twilio’s reach and scale.
Responsibilities
- Design, build and own the onboarding and integration experience for our customers, including intuitive, reliable SDK APIs that make our product easy to adopt for developers.
- Partner closely with Product, Design, and Engineering leadership to shape the team’s roadmap, prioritize high-impact work, and deliver features that unlock customer value quickly.
- Build in ambiguity: break down complex authentication and identity problems, make pragmatic tradeoffs, and deliver incremental milestones to production.
- Raise the bar for the quality of the products you work on through testing, versioning, documentation, backward compatibility, and smooth migration paths.
- Improve performance, reliability, and security of client-side flows, especially those on customers’ critical paths.
- Mentor and support other engineers through pairing, feedback, and knowledge-sharing, helping raise the team’s technical bar and culture.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
- 3+ years of experience as a fullstack engineer delivering customer-facing web products in production using modern frontend technologies (Next.js experience is a must)
- Experience developing and maintaining complex web applications and/or public-facing web SDKs.
- Experience building developer-first APIs and tools, with a focus on integration experience.
- Proven ability to ship high-quality, reliable software that runs across browsers and environments.
- Excellent written and verbal communication skills; comfortable writing design docs and leading technical discussions.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Schedule: ability to work non-standard, on-call rotation weekend and holiday hours.
Desired:
- Experience owning or contributing to open-source libraries or SDKs.
- Familiarity with authentication, identity, security, or fraud-adjacent client-side flows.
- Experience supporting public SDKs: release automation, semantic versioning, deprecations, and long-term maintenance.
- Interest in emerging identity patterns, including agentic/non-human identity and new auth workflows.
Location
This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
- Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960 - 146,200.
- Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $123,760 - 154,700.
- Based in the San Francisco Bay area, California: $137,520 - 171,900.
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until May 21st 2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Ready to apply?
Apply to Twilio
Engineering Manager
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About ngrok Inc.
ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles of other tools, developers solve every networking problem with one gateway. Doesn’t matter if they’re sharing localhost or running AI workloads in production.
We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It’s the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale.
A few things you should know:
- We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad)
- We have a designated Chief Emoji Officer - they are vital to our success!
- We like software that’s serious and culture that’s not
Still reading? Good. There's more below worth your time.
About the Team
This role will lead either our Gateway or Agent team, depending on your experience and interests.
Both teams sit on the critical path of every ngrok connection and are central to our reliability, performance, and customer trust.
- Gateway Team: Owns the core infrastructure that handles and shapes all traffic flowing through ngrok—routing, security enforcement, rate limiting, and observability. Every request passes through this layer, and its correctness and performance are foundational to everything we do.
- Agent Team: Builds the software that runs on the customer side of every connection. The Agent is what developers install and trust to securely expose their systems to the internet, and it must perform reliably across unpredictable, real-world environments.
What You’ll Actually Do
Lead a team that ships and learns quickly
You’ll manage and coach a team of 5–7 engineers. The goal isn’t just shipping—it’s building a team that can consistently make good decisions, move fast, and improve over time.
Treat management like a systems problem (with humans in the loop)
You’ll design how your team works: planning, execution, retros, feedback loops, and decision-making. You’ll tune the system, not just react to it.
Stay close enough to the code to matter
You won’t be coding every day, but you’ll get into the details when needed—reviewing designs, debugging tricky issues, and helping the team make better technical tradeoffs.
Drive product and technical direction together
This isn’t “just execution.” You’ll help shape what the team builds—balancing product work, technical investments, and experiments that actually teach you something.
Build a team people want to be on
You’ll coach junior and senior engineers, create psychological safety, and raise the bar on both performance and collaboration.
Connect the team to the bigger picture
You’ll make sure your team understands how their work ties to ngrok’s product, customers, and business. Context isn’t optional here. You’ll work closely with senior leadership and functional orgs to shape and meaningfully impact company culture and roadmap.
You Might Be a Great Fit If…
- You’ve spent 5+ years as a software engineer and comfortable in Go, Rust, Java, or C/C++
- You have 4+ years of engineering leadership experience
- You think in systems—whether that’s distributed systems or team dynamics
- You’re comfortable zooming in (code, debugging) and zooming out (strategy, org design)
- You’ve built things from scratch—teams, processes, or products
- You communicate clearly, directly, and without unnecessary fluff
Bonus points if you’ve:
- Contributed to open source, blogs, or conferences
- Worked in developer tools or product-led growth environments
- Built teams in ambiguous, early-stage contexts
Tech Stack
ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything.
Location
This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays.
Sponsorship
All candidates must be US-based, and legally authorized to work in the United States.
At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship.
Compensation
Engineering Manager
- Tier 1 (SF, LA, Seattle, NYC): $225,000 – $275,000
- Tier 2 (rest of US): $207,000 – $253,000
Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity.
#LI-Remote
Full Time Employee Benefits
- Health stuff that actually matters. Full premiums covered on base healthcare, dental, and vision for you. Half covered for your dependents. Mental health and well-being support included, because taking care of your brain is as important as taking care of your teeth.
- Retirement matching that doesn't suck. 401(k) with 100% match up to 3% of your salary and 50% match up to another 2%. Future you will appreciate present you.
- Actually flexible time off. We say "open, flexible vacation policy" and actually mean it. Take the time you need. Your manager will bug you if you're not taking enough.
- Parental leave that's realistic. Up to 16 weeks if you give birth, up to 8 weeks for new parents (birth, adoption, fostering—however your family grows).
- Money to keep growing. Annual professional development budget for books, courses, conferences, or whatever helps you level up. Plus an annual home office/desk stipend to make your workspace not terrible.
- Work from wherever. Co-working space stipend if you want to get out of your house but aren't near our SF office.
- Lunch on us. 2x+ per week for employees onsite at our San Francisco office. Free food tastes better.
- Company offsites. Twice a year we get the whole team together. It's part strategy, part bonding, part excuse to hang out with Bufo (the toad).
- Regular feedback and fair compensation. Bi-annual reviews to make sure you're getting real feedback and staying competitively compensated. No surprises, no waiting around for performance conversations.
Ready to apply?
Apply to ngrok Inc.
About Loop
Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.
We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.
Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.
About the New Grad Program
Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain.
This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career.
The Schedule:
- Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday.
- Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer.
- Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include:
- Platform: AI infrastructure and Engineering Systems.
- Core Product: Audit, Billing, and Payments logic.
- Commercial: Revenue Activation and Forward Deployed Engineering.
- Special Projects: Partnering directly with the CEO/CTO and other execs
- Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.
About You
We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here:
- You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding.
- You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.
- You are drawn to hard problems. You want problems that are more than one prompt away from a solution.
- You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about.
Responsibilities
- Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..
- Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem.
- Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures.
- Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste.
- Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes.
Qualifications
- Graduating with a BS or higher in STEM fields; available to start full-time in 2026.
- Working in person in the SF or Chicago office 4 days a week.
- Proficiency with modern techstack. You can deliver a modern web app in hours not in days..
- Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact.
- AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.)
Compensation
- $150,000 annual base pay for SF
- $125,000 annual base pay for Chicago
Benefits & Perks
- Fully paid health insurance.
- 401k with matching.
- Unlimited PTO.
- Generous professional development budget.
- Commuter benefits.
- Wellness benefits
- Phone plan stipend
#LI-LOOP
Ready to apply?
Apply to Loop
Senior Software Engineer, Data Trust
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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The Role
Join us in revolutionizing the financial landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform.
Data Trust org leads the path for building platform services, and governance initiatives — from integrating diverse data sources into governance tools to evolving the foundational architecture that supports SoFi’s long-term growth
Data Trust’s charter includes
- Development and management of the Unified Data Catalog and Discovery Tools
- Ownership and other metadata associated with the Catalog
- Lineage and retention policies
- Data Quality Strategy and Standardization (Tiered Ownership, SLOs)
- Enforce regulatory compliance and privacy across data
- Data Governance enforcement and tooling (Data Contracts, RBAC mechanisms).
- Building self-service tools for Data Owners and Data Engineers.
What You’ll Do
As an emerging leader within our team, you will focus on building out the backend services for our next-generation metadata architecture. This role involves full product lifecycle engagement, from initial concept to deployment.
Key responsibilities for this role include:
- Implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services.
- Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.
- Leading the technical evolution of one or more key platform subsystems.
- Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.
- Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.
- Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.
- The ability to create clear design and operational documentation.
- Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.
What You’ll Need
- Bachelor's or Master's degree in Computer Science, or Software Engineering
- 3+ years as a professional, full-time Software Engineer, or similar relevant work experience.
- Proficient coding in Java, Kotlin, Python or other similar object-oriented programming language.
- Proficient working with GIT and related CI/CD systems.
- Experience with public cloud compute, storage, and infrastructure.
- Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.
- Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
- Deep understanding of relational and document database fundamentals.
- Deep understanding of fundamental distributed systems concepts.
Nice To Have
- Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).
- Experience with microservices design principles and architecture.
- Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).
- Experience working with Data Platforms
We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
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Apply to SoFi
Data Governance Engineer
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About the Role
The Data Governance function is pivotal in ensuring the integrity, trustworthiness, and effective management of Chime’s data assets. Our mission is to establish and operationalize data governance frameworks that not only meet compliance requirements, but actively enable high-confidence decision making across the company. As a Data Governance Engineer, you will develop and implement policies and tools for data quality, developer enablement, certified datasets, and governance automation - with a sharp focus on building trust signals and scorecards that help data consumers quickly understand and act on the reliability of Chime's data.
This is a hands-on engineering role. You will write production-quality code to build automation for governance and data quality processes using Terraform, Python (or similar languages), and contribute to internal libraries, frameworks, and orchestration workflows that enable scalable governance.
You will partner closely with data engineering, analytics, product engineering, and compliance teams to:
- Support Chime in data compliance and risk reduction initiatives
- Establish data quality as a product discipline
- Build trust signals and scorecards that make data reliability transparent and data context valuable for a variety of use cases
- Implement governance workflows upstream, where data are created
- Ensure data context and metadata are sufficient for downstream use cases, including AI applications
You will be involved in reviews of technical designs and implementation plans to provide guidance on appropriate development from a data governance and compliance perspective, acting as a trusted advisor to teams innovating at Chime. You will also be a strong advocate and leader for Artificial Intelligence tooling and adoption at Chime, bringing curiosity and a practical eye for where AI creates leverage in data governance workflows. This role is 40% strategic influence, 40% development and building, and 20% stakeholder management and support.
The base salary for this role and level of experience will begin at $160,000.00 and go up to $221,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Build Data Trust Infrastructure: Design and implement trust scorecards, trust signals, and quality indicators that give data consumers real-time visibility into data reliability - and partner with producers upstream to embed quality checks at the source before issues propagate downstream.
- Drive Data Quality Strategy: Own and evolve Chime's data quality strategy end-to-end. Design and partner with engineering teams to implement data quality frameworks and monitoring systems that proactively identify, surface, and resolve data issues at scale.
- Develop and Implement Data Governance Policies: Create and enforce policies for data classification, quality, and lifecycle management, ensuring data integrity and compliance with SOX and other applicable regulatory standards.
- Enable the Data Catalog: Collaborate on the development, adoption, and enrichment of Chime's data catalog - improving discoverability, context richness (lineage, ownership, definitions, usage guidance), and the overall experience of working with Chime's data.
- Automate Governance Processes: Develop and deploy automation solutions for data governance tasks, such as metadata management, data lineage tracking, access controls, and quality remediation workflows.
- Champion SOX Compliance: Play an active role in Chime's SOX compliance efforts, ensuring that data governance practices, controls, and audit trails meet regulatory requirements and are well-documented.
- Lead AI Adoption for Data Governance: Serve as a leader and advocate for AI tooling within the data governance space - identifying opportunities to apply AI to automate governance workflows, improve data context, enhance trust scoring, and accelerate adoption of governance best practices across engineering teams.
- Collaborate Across Teams: Work closely with data engineers, analysts, and compliance officers to align data governance initiatives with business needs and regulatory requirements.
To thrive in this role, you have
- Experience: 5+ years in data engineering, data governance, or a related field, with hands-on experience in data classification, cataloging, quality assurance, and trust frameworks. Engineering ability to design and implement data governance and quality processes is critical to success.
- Trust & Quality Expertise: Demonstrated experience building data trust signals, quality scorecards, or similar frameworks that make data reliability visible and actionable for both engineers and non-technical stakeholders.
- Programming Experience: Proficiency in Python or a comparable programming language, and experience building scalable data tooling or automation pipelines.
- Curiosity and Relentlessness: You are genuinely curious about data, technology, and the problems that sit at the intersection of the two. You don't let ambiguity stop you - you dig in, ask the right questions, and keep pushing until you've found the right answer or built the right solution. You bring energy and persistence to hard problems and don't need external pressure to drive yourself forward.
- Composure in Complexity: Data governance at a fintech means navigating competing priorities, regulatory constraints, sprawling data ecosystems, and stakeholders with different mental models of "good." You thrive in this environment rather than shrinking from it - you can hold complexity without getting overwhelmed, break it into manageable pieces, and make steady progress without waiting for perfect conditions.
- Exceptional Communication: You are a terrific communicator in both verbal and written form. You can write a crisp one-pager that earns buy-in from a skeptical audience, run a meeting that ends with clarity instead of confusion, and translate deeply technical concepts into plain language that moves people to action. You treat communication as a core part of the job, not an afterthought.
- Product Management Mindset: You think like a product manager as much as an engineer. You ask "who is this for and what problem does it solve?" before writing a line of code. You prioritize ruthlessly, define success before you start building, and care about adoption and outcomes - not just delivery. You treat your internal stakeholders as customers and design solutions with their experience in mind.
- AI Curiosity and Advocacy: Genuine curiosity about AI and its applications in the data governance space, with an appetite for identifying and piloting new tools and workflows that improve the experience of working with Chime's data.
- Technical Proficiency: Strong knowledge of data governance tools and platforms, and experience with cloud data warehouses like Snowflake. Experience with data catalog platforms and driving adoption across engineering organizations is a strong plus.
- Bonus: Compliance Knowledge: Familiarity with SOX, CCPA, and other data privacy and financial regulations, and ability to apply technical skills to governance practices that meet audit and compliance requirements.
#LI-Onsite #LI-GC1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Software Engineer, Deposits & Insights
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About the Role
The Deposit & Insights team is looking for a skilled backend engineer to join our team. You'll be leveraging deeply individualized spending insights and member spending behavior to give our members access to the best tools that enable them to spend safely. This role involves collaborating cross functionally, experimenting quickly, and iterating on solutions to find the best points of conversion.
The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration
- Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts
- Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms
- Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms
- Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience
- Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation
- Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale
- Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.
To thrive in this role, you have
- 3+ years of experience developing software in a production environment at scale
- Prior experience serving as a technical lead for a team and on complex projects—driving architectural decisions, coordinating execution, and aligning cross-functional teams
- Proven experience with Ruby on Rails or comparable frameworks
- Experience with transactional databases and caching systems
- Deep understanding of architectural patterns for large-scale web applications
- Commitment to mentoring engineers and fostering team development
- An appreciation of maintainable and well-tested code
- Curiosity and passion for diving deeply into system architectures and technical challenges
- Experience in fast-paced or early-stage environments is a strong plus
#LI-Onsite #LI-AA1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Senior Software Engineer, Data Engineering
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About the Role
The Data engineering team has been created keeping in mind the importance and criticality of data for the overall success of Chime. The mission of this group is to build scalable data artifacts and insights that enable accurate, governed, data-driven decision-making.. As a core member of the team, you will have the opportunity to build scalable data pipelines and frameworks. Additionally, you will have the unique opportunity to architect and build workflows that could potentially become de facto standards for the fintech industry.
The base salary offered for this role and level of experience will begin at $164,000.00 and go up to $227,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Be a hands-on data engineer, building, scaling and optimizing ETL pipelines
- Design data schemas and scale them data for 10x data growth
- Ownership of all aspects of data - data quality, data governance, schema design, data quality and security
- Develop scalable data architecture and standardized data models that enable self-serve data insights using AI.
- Own the ETL workflows and make sure the pipeline meets data quality and availability requirements
- Work closely with partner teams, like Data Science, Analytics and DevOps
To thrive in this role, you have
- 5+ years experience transforming data to governed and lucid datasets
- 5+ years of hands-on experience to build and deploy production-quality data pipelines
- 5+ years of experience working with stakeholders to provide business insights
- 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python
- 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata
- Track record of successful partnerships with Analytics, Data Science and DevOps teams
- Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams
- Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.
#LI-Onsite #LI-GC1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Software Engineer, MyPay
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About the role
MyPay is Chime’s Earned Wage Access (EWA) product and one of the company’s fastest-growing, revenue-driving products, used by millions of members to access their earnings when they need it.
We power complex, real-time money movement at scale - including underwriting, eligibility decisions, ledgering, and seamless financial transactions.
In this role, you will design and build backend services where correctness, resiliency, and performance are critical. You will collaborate closely with Product, Design, Data Science, Risk, Analytics, and others to drive rapid experiments, make data-driven decisions and scale high-impact solutions.
The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Independently own and deliver features end-to-end
- Design, develop, test, refactor and scale backend implementations of new and existing consumer product features
- Work with the mobile team to design and build strong, resilient APIs that power the member facing mobile app
- Collaborate with cross functional teams to understand member pain points and come up with solutions
- Proactively identify opportunities for improving the reliability and scalability of our systems
- Work across the engineering team to improve and uphold high technical standards
- Grow into owning larger components of the system over time
To thrive in this role, you have
- 3+ years developing software in a production environment at scale
- Experience designing APIs, working with transactional databases and caching systems
- Exposure to architectural patterns of large, high-scale web applications
- An appreciation of maintainable and well-tested code
- Enjoyment in learning and diving into the deepest levels of how things work
- Collaborative spirit and strong communication skills, with experience working cross-functionally
- Product mindset with a strong bias toward experimentation, iteration, and measuring impact
- Start-up experience as an added plus
#LI-Hybrid #LI-SB1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Software Engineer, Instant Loans
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About the role
Chime’s Instant Loans team builds products that give members upfront liquidity for larger, specific needs, with clear, predictable repayment that helps them build credit responsibly. As an engineer on the team, you’ll work across the stack to build and scale services that offer a few hundred to a few thousand dollars over terms from months to years, making fair credit accessible to people who are often denied by traditional banks. This role is ideal for engineers who want to move quickly, collaborate closely with product, design, data, and risk, and care deeply about expanding financial access and stability for millions of members.
The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Design, develop, test, refactor and scale backend implementations of new and existing consumer product features
- Work on member-facing mobile app, including designing and building strong, resilient APIs that power key member experiences.
- Collaborate with cross functional teams to understand member pain points and come up with solutions
- Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
- Proactively identify opportunities for improving the reliability and scalability of our systems
- Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.
To thrive in this role, you have
- 3+ years developing software in a production environment at scale
- Proven experience with Ruby on Rails or comparable frameworks
- Comfort working across the stack and an eagerness to learn new technologies
- Experience designing APIs, working with transactional databases and caching systems
- A product mindset with a strong bias toward experimentation, iteration, and measuring impact
- Exposure to large-scale architecture patterns and an appreciation for clean, maintainable code
- A collaborative spirit and strong communication skills, with experience working cross-functionally
- Experience working in a fast-paced, product-focused environment (Fintech experience is a plus)
#LI-Hybrid #LI-SB1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Senior Application Security Engineer
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About the role
We are looking for a Sr. Full Stack Application Security Engineer with deep expertise in mobile application security to join our Product Security team. This role is hands-on and impact driven. You will work directly with mobile, backend, and platform engineering teams to identify, prevent, and remediate security issues across our iOS, Android, API, and backend systems.
You will operate close to the code and close to the product. That means reviewing architectures across the stack, influencing secure design decisions early, and helping teams ship features safely without slowing delivery. This role is for someone who understands how modern distributed systems and mobile apps are built, deployed, and attacked in real-world environments.
While mobile application security is a core focus, you will be part of a team that owns security posture across the full application stack including APIs, backend services, identity and authentication flows, and CI/CD pipelines.
The base salary offered for this role and level of experience will begin at $213,000 and up to $295,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Build and improve security capabilities, automation, and guardrails for mobile applications and backend/API services
- Perform application or API/backend penetration testing
- Identify, triage, and help remediate vulnerabilities across Chime products
- Partner closely with engineering and product teams to embed security into the development lifecycle across mobile apps, APIs, and backend services
- Perform architecture and code reviews across the stack (iOS/Android, APIs, backend) with a focus on secure data storage, authentication, authorization, secure communication, and session/token handling
- Leverage AI to accelerate security workflows (e.g., code review support, triage, threat modeling), and partner with teams building AI-enabled features to define and implement production-grade AI security controls
To thrive in this role, you have
- 5+ years of experience in application security, with strong hands-on experience across both mobile and backend systems
- Hands on experience securing iOS and Android applications in production environments
- Strong understanding of mobile threat models and common attack techniques
- Experience with mobile security testing techniques, including static and dynamic analysis
- Familiarity with iOS and Android platform security features and limitations
- Practical coding experience, preferably in Ruby, Go, Python languages
- Ability to clearly communicate security risks, tradeoffs, and remediation guidance to engineering partners
#LI-Hybrid #LI-JL1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Software Engineer, Credit Line
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About the role
SpotMe provides our members with liquidity when and where they need it so they can still buy groceries, pay for transportation or cover unexpected expenses when money is tight. We’re looking for a backend engineer to help build and operate our services that make this possible. You’ll join a tight-knit, collaborative team that holds a high bar for quality, learns together and cares deeply about solving real member problems.
Our members regularly tell us SpotMe is one of the main reasons they recommend Chime. If you’re curious, collaborative and excited to grow as a product-minded backend engineer, this is a chance to work on a beloved, high-impact feature at meaningful scale.
The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Design, develop, test and scale backend APIs and services of new and existing product features
- Collaborate closely with mobile, product, design, risk and data partners to understand member pain points and turn them into simple and reliable solutions
- Proactively identify opportunities for improving the reliability and scalability of our systems
- Work across the engineering team to improve and uphold high technical standards
- Participate in code reviews, on-call rotations and incident follow-ups to grow quickly while helping the team raise the bar on quality and operational excellence
To thrive in this role, you have
- 3+ years developing software in a production environment at scale
- Proven experience with Ruby on Rails or comparable frameworks
- Experience working with transactional databases and caching systems
- Exposure to architectural patterns of large, high-scale web applications
- An appreciation of maintainable and well-tested code
- A collaborative, low-ego working style. You enjoy pairing with others, giving and receiving feedback and helping your teammates succeed
- Enjoyment in learning and diving into the deepest levels of how things work
- Start-up experience as an added plus
- A strong product and member mindset. You care about the real people on the other side of the API and are motivated by seeing your work have a positive impact
#LI-Hybrid #LI-SB1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Software Engineer, Credit Risk Platform
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About the role
Chime Engineering is growing rapidly as we scale to support the financial needs of our members. We are looking for driven engineers to join our Credit Risk Platform team, where you’ll build backend services and internal tools that help Chime manage credit risk and losses across all of our credit products, including Loans, MyPay, SpotMe, and a growing pipeline of new credit products in development.
This team is building a shared risk platform that expands with every new product we launch. A key part of the mission is being able to onboard new credit products as a platform capability, not a reinvention of decisioning, controls, and monitoring each time. You’ll partner closely with Credit Risk, Product, Analytics, and Data Science to help risk experts iterate safely using better tooling, richer data, and clear guardrails. That includes integrating third-party data sources and building systems that are reliable, observable, and auditable, because they sit on the critical path of member experiences and credit outcomes.
The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Design, develop, test, and maintain backend services and internal tools that support risk strategy across multiple products (e.g., eligibility, limits, exposure tracking, policy enforcement)
- Contribute to reusable platform primitives that make it faster and safer to launch new credit products without duplicating risk decisioning and controls
- Build and improve workflows that enable Credit Risk teams to adjust strategies (rules, thresholds, segmentation) with appropriate guardrails and review processes
- Integrate third-party data sources used in decisioning and monitoring, including implementing data validation, error handling, and resilience to vendor changes
- Add instrumentation, dashboards, and alerts for key risk and loss signals, and participate in on-call/incident response as part of a supportive team rotation
- Collaborate with senior engineers to learn best practices in system design, testing, and operational excellence
- Proactively identify reliability and scalability improvements and drive them to completion with mentorship and feedback
To thrive in this role, you have
- 3+ years developing software in a production environment
- Experience with Ruby on Rails or comparable frameworks, building and operating APIs
- Experience working with relational databases and caching systems, and writing safe schema changes and migrations
- Familiarity with distributed systems fundamentals (async processing, idempotency, retries, backfills) and an interest in learning deeper system design
- A strong appreciation for maintainable, well-tested code and a willingness to improve existing systems, not just ship new ones
- Comfort working across teams to clarify requirements, communicate tradeoffs, and deliver incrementally
- Interest in data-driven systems and integrating external/third-party data sources (fintech or risk experience is a plus, not required)
#LI-Hybrid #LI-SB1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Backend Software Engineer — Data Platform & AI Data Products
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About the Role
You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives - high-quality event streams, reliable access layers, and developer-friendly APIs/tools - so teams across the org can self-serve what they need and ship faster. You’ll design, build, and run backend services that create value from our company data, and make our data platform more self-serve (DIY)- so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also build LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products.
Responsibilities
- Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily
- Analyze and improve the robustness and scalability of existing data processing infrastructure
- Partner with product teams to understand functional requirements and deliver solutions that meet business needs
- Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems
- Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
- Participate in an on-call rotation to address critical incidents when necessary
Requirements
- 6+ years building production backend systems (distributed systems, APIs, data services).
- Strong skills in at least one backend language (e.g., Go, Python, Java, Rust) and API design (REST/gRPC).
- Demonstrated ability to own services end-to-end: design docs, implementation, testing, deployment, on-call, and iteration based on real usage.
- Strong engineering fundamentals: clean, maintainable code, thoughtful abstractions, strong design patterns, and systems that are easy to evolve.
- Solid data modeling and query skills (SQL) and experience with at least one of:
-
- Streaming/eventing (Kafka/PubSub/Kinesis, etc.)
- Workflow/compute (Airflow/Spark/Flink/Trino, etc.)
- OLTP/OLAP stores and data lakes (Postgres + warehouse/lake tech)
- AI augmentation mindset:
- You understand the state-of-the-art ways engineers use AI/LLMs to build software faster and better (e.g., coding copilots, agentic workflows, eval-driven iteration, retrieval/knowledge grounding), and you apply this thoughtfully to your own development and to the systems you build.
- You have engineering judgment and you understand when AI Augmentation can fail or create team dynamics issues, putting mitigation mechanisms and guardrails in place.
Nice to have
- Experience building self-serve platforms (control planes, templates/golden paths, paved roads, multi-tenant services).
- LLM/AI product exposure: prompt/response telemetry, eval datasets, embeddings/RAG metadata, model/tool traces, privacy-safe logging.
- Security and governance experience: least-privilege access, auditability, data retention, PII handling.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AIFinance Analytics Engineer
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About the Role
This is the first dedicated data hire on Together AI's Finance team. You will own the data layer that Finance runs on — building from scratch the models, pipelines, and reporting infrastructure that allow Strategic Finance, FP&A, and Accounting teams to get reliable answers quickly. The person in this role will have direct exposure to every part of the Finance organization and a real opportunity to shape how data-driven decision-making develops here as the company scales.
A significant portion of your work will touch the data behind the economics of Together's infrastructure, which sits behind nearly every financial question we ask. You will work closely with Together's Data and Commerce engineering team, which owns the underlying billing pipelines and data warehouse. Your job is to define and build the modeling and reporting layer that turns raw operational data into finance-grade datasets — aligning on data contracts, representing Finance's requirements in data design decisions, and ensuring the metrics Finance depends on are correct, documented, and trusted.
Responsibilities
- Own and evolve the dbt transformation layer for Finance: design, build, test, document, and maintain models covering billing, financial performance, compute unit economics, and operational metrics
- Author and maintain Airflow DAGs (Astronomer-managed) that orchestrate Finance dbt runs, data quality checks, and downstream dependencies reliably
- Deliver dashboards and reporting in Hex for the executive team covering financial performance, utilization, and key operating metrics
- Partner with Strategic Finance, FP&A, and Accounting teams on the data infrastructure behind forecasting, cost modeling, and other financial analyses
- Set data quality standards across Finance data products and own incident response when Finance-critical pipelines break
- Build the data foundation – clean, well-structured, documented, and reliably maintained – that enables Finance team to self-serve data analysis and supports AI automation and agentic workflows
Requirements
- 5+ years in an analytics engineering or data engineering role, with meaningful time supporting Finance or business operations teams
- Expert SQL and production-grade dbt experience — models, tests, docs, snapshots, incremental strategies; you've designed a dbt project from scratch and maintained it
- Hands-on experience with Snowflake and Airflow in production; familiarity with Astronomer and the Cosmos dbt integration is a strong plus
- Solid dimensional modeling fundamentals: star schemas, slowly changing dimensions, fact table grain — you can apply Kimball principles without needing to look them up
- Strong dashboarding skills with a track record of executive-facing reporting that people actually use; experience with Hex or a comparable notebook/BI tool
- Clear communicator who can align stakeholders on metric definitions and translate between engineering tradeoffs and Finance requirements in both directions
- High comfort with ambiguity; this role will require scoping problems from scratch, not executing against pre-defined specs
Nice to Have
- Experience with financial data or billing data such as ARR, usage-based billing, invoice reconciliation, revenue recognition patterns, etc.. We operate a usage-based billing system and this context transfers directly.
- Experience with PII handling, data masking, access-tier modeling, or compliance work (SOC 2, ISO 27001, GDPR, CCPA).
- Familiarity with lakehouse patterns (Iceberg, Delta, Hudi) and hybrid warehouse/lake architectures.
- Python for data tooling: automation, data quality frameworks, custom dbt macros or operators.
- Experience with Hex, Metabase, or similar notebook/BI tooling that sits on top of your dbt models.
- Prior experience in a high-growth AI/ML infrastructure or platform company
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200k -$240k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy.
Ready to apply?
Apply to Together AILLM Inference Frameworks and Optimization Engineer
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About the Role
At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency.
We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models.
This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we’d love to hear from you!
Responsibilities
Inference Framework Development and Optimization
- Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models.
- Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving.
- Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability.
Software-Hardware Co-Design and AI Infrastructure
- Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators.
- Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines.
Requirements
Must-Have:
- Experience:
- 3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing.
- Technical Skills:
- Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference)).
- Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling.
- Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants.
- Programming:
- Proficient in Python and C++/CUDA for high-performance deep learning inference.
- Optimization Techniques:
- Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization.
- Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels
- Soft Skills:
- Strong analytical problem-solving skills with a performance-driven mindset.
- Excellent collaboration and communication skills across teams.
Nice-to-Have:
- Experience in developing software systems for large-scale data center networks with RDMA/RoCE
- Familiar with distributed filesystem(e.g., 3FS, HDFS, Ceph)
- Familiar with open source distributed scheduling/orchestration frameworks, such as Kubernetes (K8S)
- Contributions to open-source deep learning inference projects.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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Apply to Together AIMachine Learning Engineer - Inference
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About the Role
Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI!
Responsibilities
- Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale.
- Develop and optimize runtime inference services for large-scale AI applications.
- Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
- Conduct design and code reviews to ensure high standards of quality.
- Create services, tools, and developer documentation to support the inference engine.
- Implement robust and fault-tolerant systems for data ingestion and processing.
Requirements
- 3+ years of experience writing high-performance, well-tested, production-quality code.
- Proficiency with Python and PyTorch.
- Demonstrated experience in building high performance libraries and tooling.
- Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale.
- Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum
- Preferred: Knowledge of AI inference techniques such as speculative decoding.
- Preferred: Knowledge of CUDA/Triton programming.
- Nice to have: Knowledge of Rust, Cython and compilers.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society. Together, we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI. Our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey to build the next-generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other competitive benefits. The US base salary range for this full-time position is $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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Apply to Together AIResearch Engineer, Core ML
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About the Role
This is a research engineering role with direct production impact. You won’t be publishing ideas in isolation—you will translate new RL algorithms, scheduling methods, and inference optimizations into production-grade systems that power Together’s API. Success in this role means shipping measurable improvements in latency, throughput, cost, and model quality at scale. We are looking for researchers who enjoy owning systems end-to-end and turning frontier ideas into robust infrastructure.
The Core ML (Turbo) at Together AI team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together’s API, including high‑performance inference and RL/post‑training engines that can run at production scale.
Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the interface of algorithms and systems: asynchronous RL, rollout collection, scheduling, and batching all interact with engine design, creating many knobs to tune across the RL algorithm, training loop, and inference stack. Much of the job is modifying production inference systems—for example, SGLang‑ or vLLM‑style serving stacks and speculative decoding systems such as ATLAS—grounded in a strong understanding of post‑training and inference theory, rather than purely theoretical algorithm design.
You’ll work across the stack—from RL algorithms and training engines to kernels and serving systems—to build and improve frontier models via RL pipelines. People on this team are often spiky: some are more RL‑first, some are more systems‑first. Depth in one of these areas plus appetite to collaborate across (and grow toward more full‑stack ownership over time) is ideal.
Responsibilities
- Advance inference efficiency end‑to‑end
- Design and prototype algorithms, architectures, and scheduling strategies for low‑latency, high‑throughput inference.
- Implement and maintain changes in high‑performance inference engines (e.g., SGLang‑ or vLLM‑style systems and Together’s inference stack), including kernel backends, speculative decoding (e.g., ATLAS), quantization, etc.
- Profile and optimize performance across GPU, networking, and memory layers to improve latency, throughput, and cost.
- Unify inference with RL / post‑training
- Design and operate RL and post‑training pipelines (e.g., RLHF, RLAIF, GRPO, DPO‑style methods, reward modeling) where 90+% of the cost is inference, jointly optimizing algorithms and systems.
- Make RL and post‑training workloads more efficient with inference‑aware training loops—for example, async RL rollouts, speculative decoding, and other techniques that make large‑scale rollout collection and evaluation cheaper.
- Use these pipelines to train, evaluate, and iterate on frontier models on top of our inference stack.
- Co‑design algorithms and infrastructure so that objectives, rollout collection, and evaluation are tightly coupled to efficient inference, and quickly identify bottlenecks across the training engine, inference engine, data pipeline, and user‑facing layers.
- Run ablations and scale‑up experiments to understand trade‑offs between model quality, latency, throughput, and cost, and feed these insights back into model, RL, and system design.
- Own critical systems at production scale
- Profile, debug, and optimize inference and post-training services under real production workloads, taking research ideas all the way to stable, measurable improvements in deployed systems.
- Drive roadmap items that require real engine modification—changing kernels, memory layouts, scheduling logic, and APIs as needed.
- Establish metrics, benchmarks, and experimentation frameworks to validate improvements rigorously.
- Provide technical leadership (Staff level)
- Set technical direction for cross‑team efforts at the intersection of inference, RL, and post‑training.
- Mentor other engineers and researchers on full‑stack ML systems work and performance engineering.
Requirements
We don’t expect anyone to check every box below. People on this team typically have deep expertise in one or more areas and enough breadth (or interest) to work effectively across the stack. The closer you are to full‑stack (inference + post‑training/RL + systems), the stronger the fit—but being spiky in one area and eager to grow is absolutely okay.
You might be a good fit if you:
- Have a bias toward implementation and shipping—you are excited to modify real engines and services, not just prototype in research code.
- Have strong expertise in at least one of the following, and are excited to collaborate across (and grow into) the others:
- Systems‑first profile: Large‑scale inference systems (e.g., SGLang, vLLM, FasterTransformer, TensorRT, custom engines, or similar), GPU performance, distributed serving.
- RL‑first profile: RL / post‑training for LLMs or large models (e.g., GRPO, RLHF/RLAIF, DPO‑like methods, reward modeling), and using these to train or fine‑tune real models.
- Model architecture design for Transformers or other large neural nets.
- Distributed systems / high‑performance computing for ML.
- Are comfortable working from algorithms to engines:
- Strong coding ability in Python
- Experience profiling and optimizing performance across GPU, networking, and memory layers.
- Able to take a new sampling method, scheduler, or RL update and turn it into a production‑grade implementation in the engine and/or training stack.
- Have a solid research foundation in your area(s) of depth:
- Track record of impactful work in ML systems, RL, or large‑scale model training (papers, open‑source projects, or production systems).
- Can read new RL / post‑training papers, understand their implications on the stack, and design minimal, correct changes in the right layer (training engine vs. inference engine vs. data / API).
- Operate well as a full‑stack problem solver:
- You naturally ask: “Where in the stack is this really bottlenecked?”
- You enjoy collaborating with infra, research, and product teams, and you care about both scientific quality and user‑visible wins.
Minimum qualifications
- 3+ years of experience working on ML systems, large‑scale model training, inference, or adjacent areas (or equivalent experience via research / open source).
- Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience.
- Demonstrated experience owning complex technical projects end‑to‑end.
If you’re excited about the role and strong in some of these areas, we encourage you to apply even if you don’t meet every single requirement.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AIResearch Engineer, Frontier Speculative Decoding
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About the Role
Together AI is building the Inference Platform that powers the world's most advanced generative AI models. Your role will be a critical bridge between cutting-edge research and real-world applications, focusing on making translating our internal model training research to production-ready deployment for our customers. This involves a deep commitment to data-centric development, meticulous hyperparameter tuning, and rigorous checkpoint evaluation before models ever hit production.
This role will involve understanding customer specific needs and fine-tuning models on our internal data recipe and their proprietary data. The goal is to transform general-purpose models into highly performant, specialized tools that solve real business problems. You will not be training foundation models from scratch but rather focusing on creating highly efficient, specialized models by working with dedicated GPU clusters.
Responsibilities
- Design and iterate on novel speculator algorithms, combining architectural innovations with carefully curated data to push the frontier of accuracy–efficiency tradeoffs.
- Be the critical link between raw data and a production-ready model, seeing your work directly impact our customers' success.
- Work in a fast-paced, high-impact role at the cutting edge of generative AI.
- Collaborate with a team of experts dedicated to solving real-world, high-performance challenges.
- You'll collaborate directly with customers to understand their needs, and work closely with our core inference and Applied ML research teams to integrate your work into the production platform.
- A culture of deep technical ownership where you are empowered to take on and solve challenging problems
Requirements
- A genuine love for data curation and processing, with a meticulous attention to detail. You believe that great models start with great data.
- Demonstrated ability to perform effective hyperparameter searches and understand the trade-offs involved in tuning models for specific tasks.
- Experience working with and building on top of existing training codebases. You are comfortable navigating complex code and contributing to its improvement.
- Strong attention-to-detail in evaluating model checkpoints to ensure they meet strict quality, performance, and reliability standards.
- Experience with Python and PyTorch.
- Familiarity with SLURM and/or Kubernetes clusters and experience submitting and managing jobs in a high-performance computing environment.
- Familiarity with modern LLMs and generative models.
- Basic understanding of distributed training frameworks (e.g., FSDP, DeepSpeed).
- Bachelor’s, Master’s degree, or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, ATLAS, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AISenior Backend Engineer, Inference Platform
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About the Role
Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale.
If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You’ll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory.
You’ll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency.
- Shape the core inference backbone that powers Together AI’s frontier models.
- Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation.
- Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale.
- Partner with world-class researchers to bring new model architectures into production.
- Collaborate with and contribute to the open source community, shaping the tools that advance the industry.
- A culture of deep technical ownership and high impact — where your work makes models faster, cheaper, and more accessible.
- Competitive compensation, equity, and benefits.
Responsibilities
- Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods.
- Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers.
- Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling — including smart rate limiting and regulation — to ensure fairness and consistent experience across all users.
- Engineer trade-offs between latency and throughput to serve diverse workloads efficiently.
- Optimize prefix caching to reduce model compute and speed up responses.
- Collaborate with ML researchers to bring new model architectures into production at scale.
- Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations.
Requirements
- 5+ years of demonstrated experience building large-scale, fault-tolerant, distributed systems and API microservices.
- Strong background in designing, analyzing, and improving efficiency, scalability, and stability of complex systems.
- Excellent understanding of low-level OS concepts: multi-threading, memory management, networking, and storage performance.
- Expert-level programming in one or more of: Rust, Go, Python, or TypeScript.
- Knowledge of modern LLMs and generative models and how they are served in production is a plus.
- Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy.
- Experience with Kubernetes or container orchestration is a strong plus.
- Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus.
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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Apply to Together AISenior Data Engineer
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About the Role
Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together’s mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together’s usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers.
If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you.
Requirements
- 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc
- Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda
- Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse
- Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi
- Proficiency in version control practices and integrating IaC with CI/CD pipelines.
- Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar
- Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
- Experience with Kubernetes, or containers a plus
Responsibilities
- Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily
- Analyze and improve the robustness and scalability of existing data processing infrastructure
- Partner with product teams to understand functional requirements and deliver solutions that meet business needs
- Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems
- Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
- Participate in an on-call rotation to address critical incidents when necessary
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AISenior Network Engineer
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About the Role
As a Senior Network Engineer at Together, you are responsible for designing, implementing, and maintaining our network infrastructure to ensure seamless connectivity and optimal performance for all user-facing services and production systems. As both a strategic planner and a hands-on engineer, you apply sound networking principles, operational discipline, and advanced automation to our network environments.
You specialize in networking systems—including routing, switching, network security, and protocols—implementing best practices for availability, reliability, and scalability. You have a keen interest in network design, optimization, and emerging technologies in HPC-based data center networking.
Outstanding problem-solving abilities and a comprehensive understanding of fundamental network theory are also critical to your success.
Requirements
- 8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks (excluding enterprise networks).
- High level of proficiency with TCP/IP networking architecture and technologies such as BGP, OSPF, VXLAN, EVPN, and QoS.
- Experience developing network automation pipelines using Python, Ansible, or other languages/tools utilized in infrastructure automation.
- Proficient in using tools such as Wireshark, tcpdump, nmap, MTR, and curl to identify connectivity issues, latency problems, and network bottlenecks.
- Experience designing and supporting multi-tenant networks
- Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox.
- Experience working with cloud networks such as AWS, GCP, and Azure.
- Solid experience working in and troubleshooting within a Linux environment.
Responsibilities
- Design, deploy, manage and maintain global multi-vendor, multi-protocol high performance compute networks.
- Analyze data to diagnose and identify root causes to network issues to minimize downtime
- Evaluate and recommend network technologies, hardware, and software solutions.
- Participate in design reviews to ensure the proposed network architecture aligns with business needs and is optimized for performance, scalability, and reliability.
- Manage relationships with external vendors and partners to test and verify hardware and software selections.
- Develop, and deploy systems and tools to keep all networks running reliably and efficiently
- Establish and implement industry best practices and contribute to the design of new scalable network solutions
- Ensure compliance with IT governance standards and best practices.
- Lead projects to address complex technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop world-class solutions
Preferred
- Knowledge of RoCE and Infiniband protocols a plus
- Experience with Docker, Kubernetes, or Slurm a plus
- Understanding of AI training workloads and the demands they exert on networks a plus
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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Apply to Together AISenior Software Engineer - Together Cloud Infrastructure
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About the Role
Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.
As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.
Responsibilities
- Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning.
- Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs.
- Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining.
- Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining.
- Perform architecture and research work for decentralized AI workloads
- Work on the core, open-source Together AI platform
- Create services, tools, and developer documentation
- Create testing frameworks for robustness and fault-tolerance
To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities.
Requirements
- 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
- 5+ years experience writing high-performance, well-tested, production quality code
- Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
- Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
- Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
- Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
- Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
- Experience with Cluster API or similar a big plus
- Experience working on high-performance compute, networking, and/or storage a big plus
- Experience virtualizing GPUs and/or Infiniband a big plus
- Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
- Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
- Experience building IaaS or PaaS systems at scale a plus
- Experience with DPUs/SmartNICs a plus
- GPU programming, NCCL, CUDA knowledge a plus
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AISenior Software Engineer - Together Cloud Platform
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About the Role
Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.
As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.
Some of what you’ll work on:
- Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters.
- Build out a global management plane for managing our data center compute, networking, and storage.
- Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features.
Responsibilities
- Identify, design, and develop foundational backend services that power Together’s cloud platform
- Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
- Partner with product teams to understand functional requirements and deliver solutions that meet business needs
- Write clear, well-tested, and maintainable software and IaC for both new and existing systems
- Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
- Participate in an on-call rotation to address critical incidents when necessary
Requirements
- 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices
- Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
- Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
- Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP)
- Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
- Experience developing against and managing a relational database, such as PostgreSQL
- Expert-level programmer in one or more of programming language (Golang preferred)
- Proficiency in version control practices and integrating IaC with CI/CD pipelines.
- Experience with Kubernetes and containers preferred
- Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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Apply to Together AIStaff Analytics Engineer — Data Warehouse
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About the Role
Together AI is building high-performance AI inference infrastructure and the software platform around it. We're looking for a senior Analytics Engineer who sits at the intersection of data engineering and business intelligence — someone who can turn raw, complex data into clean, trusted, well-documented models that the whole company can reason from.
You'll own the transformation layer of our data warehouse: shaping bronze/silver/gold models, designing dimensional schemas, and acting as the connective tissue between engineering systems and business stakeholders. You are equally comfortable deep in a dbt project and in a room with Finance, GTM, and Product aligning on definitions.
Requirements
- Expert SQL: window functions, complex aggregations, query optimization, cost-aware pattern selection, proficiency in Snowflake or equivalent cloud warehouse.
- dbt: deep, production-grade experience — models, tests (singular + generic), docs, snapshots, macros, packages, and incremental strategies. You've designed a dbt project from scratch and maintained it in production.
- Airflow / Astronomer: production DAG authoring, backfill handling, reliability patterns, and the Cosmos dbt integration.
- Dimensional modeling: you've read Kimball (or absorbed the equivalent), know the difference between star and snowflake schemas by feel, understand slowly changing dimensions, and can explain why a fact table's grain matters.
- Stakeholder management: demonstrated experience partnering with non-technical stakeholders, driving metric alignment, and delivering trusted data products — not just pipelines.
- Strong written communication: your documentation and async updates are clear enough that people don't need to ask follow-up questions.
Strong plus
- Experience with financial data or billing data — ARR, usage-based billing, invoice reconciliation, revenue recognition patterns. We operate a usage-based inference billing system and this context transfers directly.
- Experience with PII handling, data masking, access-tier modeling, or compliance work (SOC 2, ISO 27001, GDPR, CCPA).
- Familiarity with lakehouse patterns (Iceberg, Delta, Hudi) and hybrid warehouse/lake architectures.
- Python for data tooling: automation, data quality frameworks, custom dbt macros or operators.
- Experience with Hex, Metabase, or similar notebook/BI tooling that sits on top of your dbt models.
- Prior experience in a high-growth AI/ML infrastructure or platform company.
Responsibilities
Modeling & transformation
- Own and evolve the dbt transformation layer: design, implement, test, document, and maintain modular dbt projects that cover billing, product usage, financial data, and operational metrics.
- Build analytics-ready dimensional models following Kimball methodology: star schemas, conformed dimensions, fact tables with the right grain, and SCD Type 2 for slowly changing entities.
- Design for correctness, performance, and cost — partition strategies, incremental models, and avoiding full-table scans.
- Build and maintain a semantic/metrics layer with consistent, auditable metric definitions reused across notebooks, BI, and APIs.
Pipeline orchestration
- Author and maintain Airflow DAGs (Astronomer-managed) that orchestrate dbt runs, data quality checks, and downstream dependencies reliably.
- Apply solid DAG design: idempotent tasks, proper backfill strategies, SLA alerting, and clean dependency graphs.
- Work in our Cosmos (dbt + Airflow) integration — you know when to use a DbtTaskGroup vs a custom operator.
Data quality & governance
- Implement data quality checks at every layer: freshness, null/uniqueness tests, referential integrity, distribution drift, and business-rule assertions.
- Drive data stewardship practices: ownership, SLAs, clear "source of truth" definitions, and change communication.
- Handle PII fields correctly — masking, anonymization, and access-tier alignment. Compliance experience (SOC 2, ISO 27001, or similar) is a meaningful plus.
Stakeholder management
- Be the analytical partner to Finance, GTM, Product, and Engineering — translate business questions into durable data models, not one-off queries.
- Drive alignment on metric definitions, data ownership, and delivery tradeoffs across stakeholders with competing priorities.
- Communicate data quality issues, model changes, and breaking changes proactively. You treat downstream consumers as customers.
- Write clear documentation — model descriptions, column-level lineage, and business context — so analysts can self-serve with confidence.
- Run or contribute to data reviews, data-driven planning discussions, and architecture reviews involving the warehouse.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $240,000 - $275,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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Apply to Together AIStaff Backend Engineer - Commerce
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About the Role
Together AI is seeking a Staff Backend Engineer to own the technical vision, architecture, and execution of the commerce platform powering Together's Cloud products. As a staff engineer on the Commerce Engineering team, you will set the engineering direction for mission-critical capabilities — including usage-based billing, payment processing, customer-facing analytics, and product entitlements — while raising the bar for the engineers around you.
This role is ideal for a seasoned engineer who can operate at multiple altitudes: driving system design and long-term architecture decisions while staying hands-on in code. You'll be the connective tissue between engineering, product, finance, and go-to-market — translating complex business requirements into durable, scalable backend primitives that directly impact revenue and customer experience. You'll be expected to define not just what we build, but how we build it well.
Requirements
- 8+ years of experience building large-scale, fault-tolerant API-driven services and backend systems
- Demonstrated track record of tech lead or staff-level scope — owning system architecture decisions, influencing team direction, and delivering multi-quarter initiatives
- Deep expertise in designing relational database schemas and backend APIs that support complex product and business requirements at scale
- Strong experience leading and influencing cross-functional teams — comfortable partnering with product, finance, and non-technical stakeholders
- Expert-level proficiency in one or more of Golang, TypeScript, Python, C++, or Java
- Deep knowledge of distributed systems tradeoffs: consistency, availability, fault tolerance, and performance at scale
- Strong understanding of low-level systems concepts: multi-threading, memory management, networking, storage, and I/O
- Experience with infrastructure as code (Terraform, AWS CDK, Pulumi) and mature CI/CD workflows
- Experience with payment processors (e.g. Stripe) and billing systems strongly preferred
- Experience with Kubernetes and containerized deployments a plus
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience
Responsibilities
- Define and own the technical roadmap for Together's monetization and billing pipeline infrastructure, spanning usage metering, contract billing, entitlements, spend governance, and payments processing
- Lead architecture reviews for major systems investments, ensuring long-term scalability, correctness, and maintainability across the commerce stack
- Drive cross-functional alignment with Product, Finance, and Go-To-Market teams — translating business strategy into clear engineering requirements and system designs
- Mentor and grow engineers on the team through design feedback, code reviews, technical coaching, and setting high standards for craft
- Own data modeling and schema design for core commerce entities, making principled tradeoffs between flexibility, performance, and correctness
- Establish and evolve API contracts in collaboration with client engineering teams, enabling high-quality customer-facing product experiences
- Champion reliability and scalability — lead incident response, drive postmortems, and systematically improve the resilience of commerce APIs and distributed systems
- Identify and reduce technical debt proactively, balancing pragmatic delivery with sustainable engineering practices
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $230,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
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Apply to Together AIStaff Data Warehouse Engineer
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About the Role
Together AI is building high-performance inference compute and the software platform around it. We’re looking for a Staff Data Warehouse Engineer with strong fundamentals and high growth potential to evolve into a technical lead. You’ll design and operate the warehouse from bronze → silver → gold, own core data models and metrics, and raise the bar on data quality and governance across the org.
Responsibilities
- Architect and operate a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
- Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
- Design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
- Lead Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
- Implement and automate data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
- Establish data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
- Build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
- Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
- Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.
- Mentor engineers and contribute to standards (code review, design docs, runbooks), paving the path to tech lead.
Requirements
- Strong warehouse fundamentals and production experience delivering trusted datasets and metrics.
- Expert SQL (window functions, dimensional modeling, performance tuning).
- Hands-on with dbt (models, tests, docs, snapshots, macros) and Airflow (DAG design, backfills, reliability).
- Solid Python for data tooling and automation; experience with Spark (PySpark/SQL) is a plus.
- Practical experience with SCD2, star schemas, and handling slowly changing business entities.
- Strong stakeholder management: you can drive alignment on definitions, tradeoffs, and delivery timelines.
- High standards for data quality, reliability, and maintainability.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $240,000 - $275,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AIStaff Engineer, API Core Platform
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Staff Engineer — API Core Platform
About the role
Together AI is seeking an experienced Backend Engineer to found Together’s API Platform team within the Production Foundations organization. In this role, you will define, build, and scale the core systems and architecture that power Together’s mission-critical APIs — including public customer APIs used directly by customers and via SDKs, CLIs, as well as the client APIs powering Together’s Cloud UI.
In the near term, you will improve and standardize the backend API layer within our primary Next.js monolith, raising the bar on reliability, performance, and consistency. In parallel, you will design and lead the evolution toward scalable, purpose-built next-gen API platform solutions optimized for different Public API and Client API use cases and traffic patterns — defining the long-term architecture and driving its incremental rollout.
This is a deeply hands-on role for an engineer who thrives on writing critical-path code and building platforms that unify engineering efforts across teams. You will work across backend systems, infrastructure layers, identity and access flows, and developer tooling to establish a cohesive API strategy that supports Together’s rapidly growing AI Cloud.
Responsibilities
- Design and drive the evolution of Together’s API platform, defining how APIs are built, versioned, secured, tested, and operated across the company
- Own and improve the backend API layer within our primary Next.js monolith, raising the bar on consistency, reliability, and performance
- Architect and lead the transition toward scalable, purpose-built API platforms optimized for different traffic patterns and product surfaces
- Write and maintain critical-path platform code that multiple services and product teams depend on
- Design and implement robust authentication, authorization, and identity-aware access patterns across public and internal APIs
- Establish performance standards for high-throughput APIs, implementing caching, rate limiting, fan-out control, and graceful degradation strategies
- Raise the bar on API observability and reliability, defining SLOs, monitoring, alerting, and incident response practices
- Drive API data modeling and schema generation strategies to ensure long-term maintainability and developer ergonomics
- Partner with infrastructure and security teams to maintain a strong security posture and evolve toward zero-trust architectures
- Mentor engineers, influence architectural direction across teams, and help define hiring standards as the API Platform grows
Required Qualifications
- 8+ years of experience building and operating large-scale, distributed backend systems in production environments
- Proven experience building or significantly evolving an API platform used by multiple teams or customer-facing products
- Expert-level proficiency in one or more of Golang, TypeScript, C++, or Java
- Deep expertise in API performance and scalability, including caching strategies, rate limiting, parallelization, fan-out control, and graceful degradation
- Strong experience designing and implementing production-grade authentication and authorization systems for customer-facing APIs
- Demonstrated ability to drive cross-team architectural initiatives without formal authority, aligning multiple stakeholders around long-term platform direction
- Experience building and operating systems using Infrastructure as Code (Terraform, AWS CDK, Pulumi) and modern CI/CD workflows
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent practical experience
Nice to Have
- Experience with GraphQL or schema-based API federation systems
- Experience evolving APIs from monoliths to modular, platform-oriented architectures
- Experience designing and operating API schema generation and validation systems
- Experience building developer-facing SDKs or command-line tools
- Experience designing and operating multi-region, globally distributed API systems
- Experience designing horizontally scalable API systems capable of handling high request volume and burst traffic patterns
- Experience running production workloads in Kubernetes-based environments
- Experience building services in zero-trust or identity-aware architectures
- Experience with AWS networking, traffic management, and load balancing
- Experience with Cloudflare or CDN-level API performance optimization
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $240,000 - $275,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AIStaff Engineer, Customer Insights
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Staff Engineer, Customer Insights
About the role
Together AI is seeking an experienced Staff Engineer to help found, build, and scale Customer Insights, the team responsible for the customer-facing visibility layer of Together’s Cloud. This role will shape how customers understand their activity, investigate what happened, respond when something needs attention, and govern their AI workloads with confidence.
In the near term, you will turn today’s fragmented visibility patterns into coherent product and platform foundations: historical analytics, activity history, audit logs, event timelines, notifications, and investigation workflows. You will partner closely with Together’s cloud product engineering teams and data platform team to make high-quality customer visibility a built-in capability across Together Cloud rather than a bespoke effort for each surface. Longer term, you will shape how these foundations evolve beyond dashboards and static views into AI-first investigation and insight workflows: systems that can summarize activity, explain anomalies, correlate events across surfaces, recommend actions, and provide trustworthy context to both human operators and autonomous agents.
This is a deeply hands-on role for an engineer who enjoys critical-path product and platform work. You will design the event, query, delivery, and governance systems behind customer insights while also building the user-facing workflows that help enterprise customers answer: what happened, who acted, when it happened, what matters now, and whether they need to act.
Responsibilities
- Design and drive the architecture for Together's Customer Insights platform, including customer-visible events, activity history, audit logs, timelines, notifications, and historical analytics and dashboards views.
- Build and operate the shared event and historical analytics visibility layer that helps product teams define important customer-facing events once and surface them consistently across analytics, logs, timelines, notifications, and governance views.
- Write and maintain critical-path backend and product code used by multiple teams and customer-facing surfaces.
- Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and processing systems.
- Create customer workflows that connect summaries, timelines, evidence, actors, related objects, and next steps so users can investigate operational questions without relying on support or ad hoc analysis.
- Establish standards and review patterns for which events, evidence trails, notification hooks, and governance signals must exist before new product capabilities launch.
- Define reliability, freshness, completeness, and correctness measures for customer-facing visibility systems, then build the checks and operating loops needed to maintain trust at scale.
- Mentor engineers, influence architectural direction across teams, and help define the hiring bar as the Customer Insights area grows.
Requirements
- 8+ years of experience building and operating large-scale distributed systems, product platforms, or customer-facing backend systems in production environments.
- Proven experience designing platforms or product systems used by multiple engineering teams or enterprise customers.
- Strong backend engineering skills in one or more of TypeScript, Go, Python, Java, C++, or similar production languages.
- Deep experience with event-driven systems, audit trails, activity feeds, analytics platforms, observability systems, notification systems, or investigation workflows.
- Strong data modeling and systems design judgment, including schemas, retention, indexing, query performance, access control, and correctness tradeoffs.
- Demonstrated ability to turn ambiguous customer and operational needs into clear technical architecture, incremental delivery plans, and durable product foundations.
- Experience partnering across product, infrastructure, data, security, and customer-facing teams to land cross-cutting architecture without relying on formal authority.
- Comfort writing critical production code while also setting technical direction, mentoring senior engineers, and raising engineering standards.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
Preferred Qualifications
- Experience building enterprise SaaS audit logs, governance tooling, compliance evidence systems, data lineage, or incident investigation products.
- Experience with high-volume event pipelines, streaming systems, OLAP or time-series storage, search systems, or large-scale analytical query engines.
- Experience building notification, alert routing, escalation, or workflow automation systems.
- Experience designing customer-facing analytics, reporting, dashboards, or operational intelligence products.
- Experience with multi-tenant cloud platforms, identity-aware access patterns, sensitive data handling, and retention controls.
- Experience with AI infrastructure, developer platforms, observability, or systems that support mission-critical enterprise workloads.
- Experience running production workloads on Kubernetes or cloud infrastructure and using Infrastructure as Code and modern CI/CD workflows.
- Experience building product surfaces in addition to backend platforms, especially where UX quality and technical correctness both matter.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200k-270k+ equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy.
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Apply to Together AIStaff Engineer, Product UI Platform
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About the Role
Together AI is seeking a highly experienced Staff Engineer to join the Product Engineering team, to own and evolve the Product UI Platform — the architectural foundation that powers how product teams build full-stack features across our web surface.This role is responsible for evolving the product runtime from its current monolithic growth architecture to a scalable, modular, and high-leverage platform that supports increasing scale, reliability requirements, and a growing number of feature engineers. You will define and drive the technical direction of the Next.js/typescript/nodejs web runtime, BFF layer, and application integration patterns, partnering peer-to-peer with Backend and API Platform leaders to ensure cohesive architectural evolution across layers. This is a deeply hands-on role for and experienced engineer with real life experience leading and implementing architectural evolution and is ready to take full ownership of a critical technical domain.
Responsibilities
- Lead the next phase of architectural evolution for the product application platform
- Design and implement foundational platform primitives used across product teams
- Reduce architectural entropy and duplication across the web surface
- Improve application-level performance and reliability metrics
- Drive incremental modularization without disrupting feature velocity
- Establish performance budgets and enforce application-layer guardrails
- Partner with Backend Platform to shape API ergonomics and integration boundaries
- Collaborate with SRE to ensure runtime stability and production readiness
- Write and maintain critical-path platform code
- Establish durable standards for how full-stack features are built
- Mentor engineers and help scale the platform capability over time
Requirements
- 8+ years building production-grade web applications and backend systems
- Demonstrated ownership of a product application platform used by multiple teams
- Deep expertise in React/Next.js/TypeScript and server-side application architecture
- Strong backend experience with TypeScript
- Experience evolving monolith architectures into modular systems
- Web Vitals performance optimization experience across browser → API → data layers
- Proven ability to drive and implement architectural change in a cross functional collaborative environment
- Experience establishing technical standards and scaling developer velocity
- History of owning complex technical decisions and their outcomes
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $275,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AI
Software Engineer I, Autonomous Freight Systems
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About Flexport:
At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.
The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.
The Opportunity
This is a unique opportunity to join a new engineering team at the ground floor. As an SDE 1, you will learn from senior and staff level engineers while contributing to real production systems that power global trade. We are building Flexport’s client-facing rates platform and a new self-serve booking experience, moving the company from an assisted-sales model to a tech-run one.
You will help build the "front door" of our Client App: the interfaces and services that allow customers to see pricing and book shipments without manual intervention. This is an AI-first team where you will see firsthand how intelligent automation is applied to real-world logistics. If you are looking for a high-growth environment where you can see your code impact thousands of shipments across 112 countries, this is the team for you.
You Will
- Design, develop, test, deploy, and maintain systems that represent the real-world intricacies of global logistics and pricing logic.
- Work within an AI-integrated codebase, learning how to build and maintain services that support autonomous booking and intelligent quoting.
- Contribute to code reviews to maintain code quality, share knowledge, and learn from experienced mentors on the team.
- Collaborate with engineering, product, and design to translate complex business problems into elegant technical solutions.
- Build highly available, secure, and distributed services within a modern microservices architecture.
- Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
- Ensure high-quality standards by incorporating metrics and monitoring into every service you touch.
You Should Have
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- 1+ years of professional experience in software development with demonstrated coding skills: strong internship experience in a product-focused environment is highly valued.
- Proficiency in modern programming languages: specifically Java, Ruby, or TypeScript.
- Familiarity with technologies like databases, API development, and modern frontend frameworks like React.
- AI Curiosity: A strong interest in how AI and LLMs are transforming software development and a desire to learn how to build with these technologies.
- A self-starter attitude: You are curious, eager to learn, and when you see a problem, you look for a way to solve it.
- Product Curiosity: An interest in how users interact with software and a desire to understand the "why" behind the features you build.
It’s a Plus If You Have
- Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
- Experience using AI coding assistants to accelerate your development workflow.
- Ability to convey technical ideas in common terms to business stakeholders and product managers.
- Excellent written and verbal communication skills.
#LI-Onsite
Commitment to Equal Opportunity
At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
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Software Engineer II, Autonomous Freight Systems
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About Flexport:
At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.
The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.
The Opportunity
Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.
This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers.
You Will
- Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
- Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
- Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
- Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
- Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
- Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
- Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
- Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.
You Should Have
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
- Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
- Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
- AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
- 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
- Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
- Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).
It’s a Plus If You Have
- Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
- Experience in fintech, pricing engines, or booking systems.
- Experience in logistics, supply chain, or freight technology.
- A bias for action: When you see a problem, you fix it.
- Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.
#LI-onsite
Commitment to Equal Opportunity
At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
Ready to apply?
Apply to Flexport
Staff Software Engineer, Autonomous Freight Systems
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About Flexport:
At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.
The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.
The opportunity
The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.
As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.
This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.
You will
- Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
- Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
- Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
- Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
- Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
- Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.
You should have
- LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
- Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
- Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
- Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
- Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
- Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
- Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.
It's a plus if you have
- Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
- Experience in logistics, supply chain, or freight technology.
- Experience building internal tools or operator-facing applications.
- A bias for action: When you see a problem, you solve it.
#LI-onsite
Commitment to Equal Opportunity
At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
Ready to apply?
Apply to Flexport
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
About this role:
As a Senior Data Scientist for Go-to-Market at fal, you will be the analytical backbone of our revenue organization. Embedded directly with the GTM function, you will own the metrics that tell us how our pipeline is performing, how our sales team is executing, and where the next dollar of revenue is most likely to come from.
This is a high-leverage, high-visibility role. GTM leadership will look to you for the answers - on rep performance, quota attainment, pipeline health, AM coverage, and segment economics - and you'll shape both the questions we ask and the systems we build to answer them. You'll partner closely with Product Intelligence and Data Engineering as part of fal's center-of-excellence data team, while acting as the embedded specialist for everything GTM.
Key responsibilities:
- Own the metrics and reporting that drive sales execution at fal: pipeline health, quota attainment, conversion rates, sales cycle, AM coverage, and segment-level economics.
- Partner directly with the sales leadership and rev-ops to translate strategic questions into measurement frameworks and weekly operating cadences.
- Build the data foundations that make GTM analytics first-class: account-manager tracking, territory and quota models, opportunity-stage instrumentation, and rep-level performance views.
- Run rigorous deep-dives - win/loss, lead source effectiveness, segmentation, expansion drivers - that change how GTM allocates time and headcount.
- Shape the CRM, internal tooling, and downstream data models that everyone in GTM depends on, and set the standards for how GTM data is captured, joined, and trusted.
Requirements:
- 5+ years of experience in data science or analytics roles, with at least 3+ years specifically in GTM, RevOps, or sales analytics at an enterprise or B2B SaaS company. This is a hard requirement - we are looking for someone who has seen many variations of this problem and can run with it.
- Advanced SQL and proficiency in Python for analytics, modeling, and experimentation.
- Deep familiarity with Salesforce data, pipeline mechanics, quota and territory models, and the operational rhythms of an enterprise sales org.
- Strong proficiency with dbt and modern analytics stacks; comfort partnering with data engineering on production-grade pipelines.
- Proven ability to operate as an embedded analytics partner - building trust with sales leadership and translating ambiguous strategic asks into clear measurement.
- Demonstrated bias for action; you set up the dashboard, write the SQL, and ship the framework yourself when needed.
- A track record of shipping data products that change behavior, not just dashboards that get viewed once.
Nice to have:
- Experience supporting both self-serve/PLG and enterprise sales motions.
- Experience working on developer-facing or API products.
- Familiarity with usage-based pricing and consumption-driven sales motions.
- Early-stage or fast-scaling environment experience.
Compensation
- $180,000-225,000 plus equity + benefits (This range is across 2 levles Senior and Staff)
Location
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San Francisco, CA (willing to consider remote for Senior and Staff levels)
What we offer at fal
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Interesting and challenging work
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A lot of learning and growth opportunities
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We are currently hiring in downtown San Francisco.
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We offer relocation assistance to San Francisco.
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Health, dental, and vision insurance (US)
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Regular team events and offsites
Ready to apply?
Apply to fal
Senior Staff Software Engineer, Crypto
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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The Role
We’re excited to invite a Senior Staff Engineer to join our amazing team at SoFi! We are on a journey to build out a new team dedicated to developing innovative crypto products and services for our members. With recent developments paving the way for SoFi to re-enter the crypto space, we’re eager to expand our product offerings with intuitive, secure, and fully-featured solutions across crypto Investing, Transfers, Payments, Custody, and beyond.
As a member of our team, you’ll be right in the heart of the action—implementing functionality, architecting our systems, squashing bugs, maintaining the health of our code, and continuously growing as an engineer. We’re looking for someone who is both forward-thinking and hands-on, with a strong sense of ownership and a passion for delivering results. You’ll also be a great mentor and co-worker! At SoFi, we take pride in the collaboration between Product, Design, and Engineering, and you’ll be involved in the entire product lifecycle—from ideation through building, deploying, and ongoing improvement and evolution.
Joining SoFi means becoming part of a new kind of finance company with a mission to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, helping everyone get their money right. We started with student loan refinancing, tackling the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Since then, we’ve expanded our products and services across loans, wealth management, and insurance. SoFi has seen significant growth and has ambitious plans ahead, but to continue this journey, we need talented individuals like you!
Key responsibilities:
- Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
- Debug and resolve complex systems issues in high-scale, real-time services.
- Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
- Shape the technical architecture across SoFi’s crypto stack—wallets, custody, trading, and beyond.
- Drive new ideas and technical strategies that push our crypto offerings forward.
- Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
- Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
- Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
- Mentor engineers and contribute to a culture of technical growth and curiosity.
- Lead discussions, reviews, and decisions across teams and with senior technical leadership.
- Make smart, pragmatic decisions that balance speed and quality.
- Stay curious—constantly learning new tools, protocols, and patterns in the evolving crypto space.
- Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.
What you'll need:
- 10+ years of programming experience, with significant experience in modern languages and familiarity with AI tools.
- BS Degree or equivalent from a fully-accredited college or university preferred.
- Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases, and mobile/web applications.
- Expertise with Java / Spring / Kotlin / PostgreSQL / AWS, and any modern Java frameworks, REST APIs, and relational databases.
- Deep understanding of code release, deployment orchestration/rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
- Experience with public cloud infrastructure.
- Excellent verbal and written communication skills and ability to work with stakeholders across disciplines.
- Understanding of blockchain fundamentals and distributed ledger technologies.
- Familiarity with digital assets across major chains (Bitcoin, Ethereum, etc.).
- Hands-on experience with smart contracts is a plus.
- Familiarity with custody, settlement, and clearing of crypto transactions.
- Experience with security and best practices for wallet management.
- Exposure to crypto trading platforms, market data, and DeFi protocols.
- Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage).
- Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions.
- Prior work in or collaboration with crypto-native companies or fintechs.
- Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
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Apply to SoFi