DynamoDB Jobs in San Francisco.
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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.
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Senior 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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Staff Software Engineer
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Employee Applicant Privacy Notice
Who we are:
Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://www.galileo-ft.com/working-at-galileo.
We are looking for a Staff Software Engineer to join our Engineering team.
What you’ll do:
- Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc).
- Take full ownership for solving complex problems from inception to execution.
- Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
- Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
- Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
- Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact.
- Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
- Work with Python and C applications to resolve wide-ranging issues, and drive feature implementation.
What you’ll need:
- Bachelor's Degree in Computer Science or related field.
- 6+ years programming experience, ideally on a modern stack.
- Experience: 4+ years of experience writing high-quality, production-grade Python.
- Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
- Ability to lead and influence a team's technical direction.
- Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
- Demonstrated ability to design resilient software components within a distributed system.
Nice to have:
- Familiarity with Python Flask and/or FastAPI frameworks.
- Experience developing in C.
- Domain knowledge in Payment Systems or financial tech.
Galileo Financial Technologies 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
Galileo is committed to an inclusive culture. As part of this commitment, Galileo 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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Senior Data Engineer
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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 Role
We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.
What You’ll Do
- Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
- Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
- Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
- Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
- Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
- Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
- Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
- Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.
Qualifications
- 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
- Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).
- Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
- Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
- Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
- Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
- Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
- Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
- Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
- Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
- Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.
Preferred Experience
- AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
- Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
- Experience supporting ML feature stores, offline/online feature generation, or model training datasets.
- Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
- Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
- Open-source contributions, publications, or conference speaking.
- BS/MS in CS/Engineering or equivalent practical experience.
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 $165,000 - $175,000, 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-YW1
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Senior Software Engineer, Intelligent Messaging
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About the Role
Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process 100s of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture.
As a Senior Software Engineer in our Intelligent Messaging, you will pioneer the future of personalized 1:1 marketing by architecting robust, scalable backend systems powered by advanced AI and LLMs, including cutting-edge Generative AI and GPT technologies. Collaborating with top-tier engineers, data scientists, product managers, and designers, you’ll craft the foundation and reshape the platform of multi-channel messaging experimentation to support innovative, AI-driven applications that empower marketers to forge deep, meaningful connections with consumers at scale. Your impactful work will drive the delivery of billions of tailored messages, transforming consumer shopping experiences and fueling success for the world’s leading brands.
What You’ll Accomplish
- Develop and maintain scalable backend systems for our customer-facing products, ensuring high performance and reliability.
- Collaborate with cross-functional teams to build applications that support multi-channel communications for marketers.
- Implement and optimize systems that process and deliver billions of messages daily.
- Improve code quality through code reviews, testing, and advocating for best practices.
- Identify and address technical debt to ensure the long-term health of our codebase.
- Drive architectural design and technical decisions, and stay current with emerging technologies to enhance our products.
Your Expertise
- 5+ years of professional experience in software development focusing on backend systems.
- Proficiency in Java, Python, or Go, with a strong understanding of object-oriented programming.
- Experience building and maintaining scalable, high-performance applications.
- Proven ability to collaborate effectively with cross-functional teams.
- Solid understanding of software development best practices, including code reviews, writing tests, and continuous integration.
Nice to Haves
- Experience with service-oriented architecture and distributed systems.
- Familiarity with AWS services and cloud infrastructure.
- Knowledge of databases such as DynamoDB, Postgres, or Redis.
- Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar).
- Familiarity with frontend development with React and TypeScript.
- Experience with DevOps practices and tools such as Docker and Kubernetes.
What We Use
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS.
- Infrastructure tooling includes Istio, Datadog,Terraform, CloudFlare, and Helm.
- Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS.
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full-time position is $190,000 - $230,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-EZ1
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Staff Machine Learning Engineer, AI Serving
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Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a Staff Machine Learning Engineer, you will lead the development of a large-scale ML Inference Platform at Reddit.
- Lead the end-to-end design, implementation, and maintenance of a highly available, low-latency GPU-based model serving system for search, ranking, and LLMs supporting Millions of QPS.
- Design and develop ML and Generative AI systems in cloud-based production environments on Kubernetes at scale.
- Rapidly develop prototypes and develop a high-performance feature hydration and processing system as a part of the inference stack - including routing, caching, and batching.
- Lead a unified GPU model export framework to support converting trained models into optimized GPU inference models.
- Strong understanding of real-time ML observability to track feature/model performance.
- Experience working with LLM serving online at scale.
- Built an E2E inference performance benchmarking framework
- Deep Understanding of multi-cluster compute environment and network topology that is specific to ML inference use cases.
Who You Might Be:
- 7+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
- Have experience operating orchestration systems such as Kubernetes at scale
- Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more
- Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
- Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
- Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.
- Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus
- Strong proficiency in Python and deep experience with modern AI/ML frameworks (Triton, Dynamo, vLLM, Pytorch)
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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Staff Software Engineer, FinPlatform Backend
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Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
Overview
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
About the Role
Flex is looking for a Staff Software Engineer to join our core platform team. We want engineers with ideas (because they’ll definitely be heard on our small and tight-knit team) and ambition! Successful devs will feel comfortable in a startup environment and will be happy to work in a remote-first team with a lot of independence. As a Staff Engineer at Flex, you’ll help set technical direction and shape the long-term architecture of our backend services while still being hands-on with coding and delivery. You will collaborate across engineering, product, design, and other stakeholders to ensure scalable, reliable, and impactful systems that power consumer experiences, partner integrations, and our core business platforms. You’ll also play a critical role in mentoring engineers, elevating technical standards, and ensuring the success of projects end-to-end.
Our Engineering Teams
- Consumer Engineering: Builds the APIs and backend systems powering Flex’s main consumer-facing products. This team focuses on delivering scalable services for a seamless rent payment experience through our mobile and web apps.
- Partner Integrations Engineering: Owns the backend services and integrations that connect Flex to financial partners and payment networks, ensuring reliable, secure payment flows and partner-facing experiences.
- Core Platform Engineering: Maintains the backend systems and infrastructure supporting all business features, including Payments, Billing, Identity, and Partner Integrations, ensuring Flex’s foundation is robust and scalable.
- Risk Platform Engineering: Develops the platforms and APIs that mitigate credit and fraud risk, enhancing customer accessibility while safeguarding against misuse through advanced rules engines, machine learning, and event data systems.
What You’ll Do
- Design, implement and maintain our Finance service and internal tooling, including financial reporting, reconciliation/audit process.
- Design and develop new APIs and functionalities to support large money movements across our banking partners via different payment rails, such ACH.
- Scale out core platform to support business growth while maintaining performance and reliability
- Continuously improving our daily operations with automation, tooling, design evolution, observability etc.
- Work closely with product, analytics, finance and engineering peers to launch new financial features into our platform
What We're Looking For
- 6+ years of experience in software development or a related field
- Experience in technical leadership, guiding engineering teams through complex projects
- Experience with Java, Python, Golang, or TypeScript/Node.js.
- Strong experience with relational SQL and NoSQL databases, such as MySQL/PostgreSQL/DynamoDB
- Experience in designing and developing the fault-tolerant and scalable distributed systems
- Experience with AWS cloud services: ESC/EKS, Lambda, API Gateway, VPN, RDS etc
- Infrastructure as code(AWS CLI, AWS CDK/Terraform)
- Strong communication skills with the ability to understand and explain technical issues to a non-technical audience
- Follow engineering best practices as well as propose new ones
- Experience with finance reporting and reconciliation
- Deep experience with writing complex query and data mining
- Tier A: (NYC/SF): $200,000 —$250,000 USD
- Tier B: $180,000—$225,000 USD
- Tier C: $170,000 —$212,500 USD
#LI-Remote
Life at Flex
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
Ready to apply?
Apply to Flex
Senior Software Engineer, Backend
Share this job
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
About the job
Flex is hiring Senior Software Engineer, Backend roles across four engineering teams: Consumer, Partner Integrations, Core Platform, and Risk. When you apply, you will automatically be considered for all open Senior Backend positions, and your placement will be determined based on your experience and expertise assessed during the interview process.
As a Senior Backend Engineer at Flex, you will play a key role in designing, building, and scaling backend services and APIs that power our products, partner integrations, and critical risk management platforms. You’ll collaborate closely with cross-functional teams to deliver robust, fault-tolerant systems that impact renters and partners at scale.
You will own the end-to-end lifecycle of your services- from requirements and architecture through implementation, testing, deployment, and monitoring- and help elevate the team by driving technical best practices and mentoring junior engineers.
Our Engineering Teams
- Consumer Engineering: Builds the APIs and backend systems powering Flex’s main consumer-facing products. This team focuses on delivering scalable services for a seamless rent payment experience through our mobile and web apps.
- Partner Integrations Engineering: Owns the backend services and integrations that connect Flex to financial partners and payment networks, ensuring reliable, secure payment flows and partner-facing experiences.
- Core Platform Engineering: Maintains the backend systems and infrastructure supporting all business features, including Payments, Billing, Identity, and Partner Integrations, ensuring Flex’s foundation is robust and scalable.
- Risk Platform Engineering: Develops the platforms and APIs that mitigate credit and fraud risk, enhancing customer accessibility while safeguarding against misuse through advanced rules engines, machine learning, and event data systems.
A minimum of 4 years of experience with Java is required for this position.
What You'll Do
- Design, develop, test, and scale backend services and APIs that power Flex’s consumer products, partner integrations, risk management systems, and core platform services.
- Build and operate robust, fault-tolerant distributed systems with multiple external dependencies.
- Implement service APIs for web and mobile apps, simplifying complex rent payment processing.
- Work closely with Product, Design, Infrastructure, Sales, Partner, and Customer Success to deliver features and integrations that delight customers and partners.
- Translate feature requirements into technical specifications and lead the architecture and implementation of scalable solutions.
- Drive the full lifecycle of services and APIs you build, including deployment, monitoring, and optimization for high availability and performance.
- Contribute to evolving Flex’s service-oriented architecture, REST APIs, message queues, and scalable systems design.
- Develop risk management systems such as rules engines, ML-powered fraud detection, and high-scale event ingestion pipelines.
- Mentor junior engineers and help elevate the team’s engineering practices through code reviews, architecture discussions, and technical leadership.
- Ensure services are observable and reliable using monitoring tools and industry best practices.
- Collaborate on CI/CD improvements and automation to increase code quality and delivery velocity.
Key Qualifications
-
- Strong computer science fundamentals with a proven track record of building scalable backend systems.
- 5–6+ years of professional software engineering experience with a focus on backend development.
- 4+ years of hands-on Java experience, with deep knowledge of the Java ecosystem.
- Proficient in Java frameworks and tools used at Flex: Spring (core/web/boot), Gradle, JUnit, JVM tuning and performance optimization.
- Experience operating services in distributed, service-oriented architectures at scale.
- Familiarity with REST API design, mobile API best practices, and message-driven architectures.
- Skilled at building robust, fault-tolerant systems and integrating with multiple external dependencies.
- Experience designing and maintaining data pipelines and working with big data platforms (bonus: Snowflake).
- Hands-on experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB), containerization (Docker/Kubernetes), and Infrastructure as Code (CDK/Terraform).
- Skilled in observability and monitoring tools (e.g., DataDog) to ensure high availability.
- Ability to write high-quality code that is testable, maintainable, scalable, and secure, using industry best practices throughout the SDLC (unit testing, build automation, CI/CD).
- Excellent communicator, comfortable working with distributed teams and cross-functional stakeholders.
- Proven ability to mentor junior engineers and raise the technical bar through best practices.
- Tier A: (NYC/SF): $172,000 —$215,000 USD
- Tier B: $154,800—$193,500 USD
- Tier C: $146,200 —$182,750 USD
#LI-Remote
Life at Flex
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
Ready to apply?
Apply to Flex
Senior Software Engineer, Fullstack
Share this job
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
Flex is looking for an Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.
What You'll Do:
- Focus on creating exceptional user and partner experiences that drive engagement and retention.
- Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
- Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
- Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
- Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.
Qualifications
Minimum Qualifications
- 5+ years of professional software development experience.
- 3+ years of hands-on experience with Java.
- 3+ years of experience with React or React Native.
- 3+ years of experience with TypeScript.
- Having experience building high-quality mobile and web UIs to specifications is a must to have.
- Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
- Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
- Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
- Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.
Preferred Qualifications
- Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
- Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
- Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
- Experienced with big data platforms and tooling, including Snowflake.
- Proficient in Infrastructure as Code, using tools like CDK and Terraform.
- Skilled at elevating team standards through best practices, and mentoring junior engineers.
- Excellent written and verbal communicator, with experience in cross-functional collaboration.
- Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
- Tier B: $154,000—$190,000 USD
- Tier C: $146,000—$180,000 USD
Life at Flex
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
Ready to apply?
Apply to Flex
Senior Software Engineer, Fullstack (Risk Engineering)
Share this job
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
About the role
Flex is looking for a Senior Software Engineer to join our Risk Engineering team. This role involves spearheading the implementation of platforms and APIs crucial for supporting business features within the risk management domain.
The Risk Engineering team is dedicated to mitigating both credit risk, fraud risk, and risk for launching new products. Our mission is to enhance Flex app accessibility for customers while safeguarding against improper use and unauthorized access by identifying and preventing misuse across all core product areas.
Following are some projects/systems in Risk Platform you will have opportunities to work with:
- Core decision platform which is an end-to-end solution for the enterprise decision management lifecycle, including business rule management, analytics, process management, and ML/AI.
- Event data stream ingestion which supports near real-time fraud rules setup.
- Advanced a/b testing and experimentation capabilities for our customers so they can leverage greedy algorithms and fight fraud.
What You'll Do:
- Build decision platform / machine learning solutions to respond to/mitigate business risks in Flex.
- Design and develop 24/7 high-scale APIs and distributed systems. The tech stack will be on AWS. Java would be the language for the existing code base. Java Spring Boot will be the framework.
- Work closely with product, design, and engineering peers to launch new features across our web and mobile platforms
Qualifications
Minimum Qualifications
- Must-have: Experience working in a risk engineering team, specializing in rules engine architecture or risk/credit/fraud systems.
- 6+ years of professional software development experience.
- 5+ years of hands-on experience with Java.
- 2+ years of experience with React or React Native.
- 2+ years of experience with TypeScript.
- Having experience building high-quality mobile and web UIs to specifications is a must to have.
- Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
- Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
- Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
- Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.
Preferred Qualifications
- Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
- Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
- Experienced with big data platforms and tooling, including Snowflake.
- Proficient in Infrastructure as Code, using tools like CDK and Terraform.
- Skilled at elevating team standards through best practices, and mentoring junior engineers.
- Excellent written and verbal communicator, with experience in cross-functional collabo
- Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
- Tier B: $154,000—$190,000 USD
- Tier C: $146,000—$180,000 USD
Life at Flex
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
Ready to apply?
Apply to Flex
Staff Software Engineer, Fullstack (Marketing)
Share this job
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
Flex is looking for a Staff level Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.
What You'll Do:
- Focus on creating exceptional user and partner experiences that drive engagement and retention.
- Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
- Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
- Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
- Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.
Qualifications
Minimum Qualifications
- 7+ years of professional software development experience.
- 3+ years of hands-on experience with Java.
- 3+ years of experience with React or React Native.
- 3+ years of experience with TypeScript.
- Having experience building high-quality mobile and web UIs to specifications is a must to have.
- Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
- Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
- Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
- Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.
Preferred Qualifications
- Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
- Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
- Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
- Experienced with big data platforms and tooling, including Snowflake.
- Proficient in Infrastructure as Code, using tools like CDK and Terraform.
- Skilled at elevating team standards through best practices, and mentoring junior engineers.
- Excellent written and verbal communicator, with experience in cross-functional collaboration.
- Tier A (NYC/SF/Seattle): $200,000—$250,000 USD
- Tier B: $180,000—$225,000 USD
- Tier C: $170,000—$212,000 USD
Life at Flex
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
Ready to apply?
Apply to Flex
Senior Engineer II, AI Inference Engine Systems
Share this job
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.
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer II to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.
What You’ll Do:
- Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
- System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
- Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
- Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
- Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
- Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.
What You’ll Bring to DigitalOcean:
- Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
- AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
- Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
- Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
- Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
- Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
- Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
- Open Source Mindset: Experience integrating and building with open-source software.
Compensation Range:
- $167,200.00 - $209,000
*This is a remote role
JR: 2026-7591
#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
Senior Forward Deployed Engineer (AI/ML)
Share this job
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 Senior Forward Deployed Engineer (FDE) 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" 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, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
- 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:
- $140,000 - $174,000
*This is a remote role
#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
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 lending landscape. SoFi is seeking enthusiastic Principal Software Engineers who are ready to lead the technical and strategic evolution of our financial services platform in support of our goals that put our members in control of their financial destiny. Key qualifications of this role include:
-
Leading the development and execution of strategic org-wide or company-wide initiatives across multiple product or platform domains.
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Identifying and resolving systemic business, technical, or organizational problems that span multiple organizations across the company.
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Recognition as a subject matter across multiple product or platform domains with the ability to identify and lead the resolution of systemic issues.
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Ability to define the long-term architectural direction across all areas of the platform or across multiple products, aligning stakeholder teams around a shared vision and business goals.
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Ability to drive alignment across divisions to resolve technical and organizational conflicts in order to deliver on SoFi’s business and strategic goals.
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Raises the engineering maturity of the organization by identifying and leading key improvements in the organization's culture and processes that support engineering excellence
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Ability to identify and lead key improvements in systems supporting engineer productivity and velocity.
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Ability to collaborate with partners to create and align technology and company strategy, resulting in plans that address the short and long-term goals of the business.
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Mentors engineers across the organization, is a key contributor in recruiting processes, and helps shape hiring standards.
What You’ll Do
As a widely recognized technical leader across SoFi groups, you will partner across technology and business teams to define and execute the technical vision and strategy for the platform. Your responsibilities include defining and building consensus around evolutionary roadmaps across the platform, strong individual contributions in coordinating and implementing those plans in stages that deliver distinct customer value, and leading improvements to the engineering efficiency and culture of engineering excellence across the team. Success in the role will require building and maintaining effective partnerships with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be a key leader in those partnerships, responsible for driving alignment and delivering technical solutions that provide outstanding value to our members.
What You’ll Need
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Bachelor's or Master's degree in Computer Science, or Software Engineering
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10+ years as a professional, full-time Software Engineer, or similar relevant work experience.
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7+ years in a technical leadership role.
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Proven track record of defining and leading cross-team initiatives in support of key business and strategic goals.
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Proven track record of leading initiatives to increase engineering productivity and improve engineering excellence.
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Exemplary communication and documentation skills.
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Proficient coding in Java, Kotlin, or other similar object-oriented programming language.
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Experience with public cloud compute, storage, and infrastructure.
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Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
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Deep understanding of relational and document database fundamentals.
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Deep understanding of microservices design principles and architecture.
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Deep understanding of scaling highly-available, mission-critical systems.
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Expert proficiency working with GIT and related CI/CD systems.
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Experience leading and improving Agile methodologies.
Nice To Have
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Experience with AWS technologies – DynamoDB, RDS, Lambda, Kinesis, SQS, S3, and Athena.
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Full-stack engineering experience, or willingness to expand your influence across our entire platform.
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.
Ready to apply?
Apply to SoFi
Senior Database Reliability Engineer
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Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.
Overview
At Rithum the Database Reliability Engineering (DBRE) team is responsible for the availability, reliability, and observability of all database systems. We rely heavily on automation to reduce manual work and are always looking for ways to improve our processes. We currently Manage and optimize a large-scale SQL Server environment spanning hundreds of instances across hybrid infrastructure (onprem VMware and AWS), as well as installations of various relational and NoSQL database platforms including MongoDB, DynamoDB, Elasticsearch, MySQL, Postgres, and Redis. These database systems touch all aspects of the business. On the DBRE team, we have a strong culture of curiosity, honesty, and a love of collaboration and constant learning.
As a Senior Database Reliability Engineer, you are expected to embody these values and help foster them among your fellow team members. You are responsible for managing a variety of database systems and designing and leading your own projects with a highly technical approach.
Responsibilities
- Ensure maximum availability and reliability of mission-critical database systems across hybrid infrastructure.
- Design, implement, and maintain SQL Server Always-on Availability Groups, clustering, and replication topologies. Constantly improve the observability of all database systems.
- Lead major database upgrade initiatives and modernization efforts. Support other engineers and teams in their use of database systems.
- Continuously enhance observability using telemetry, performance analysis, and proactive monitoring.
- Continuously enhance processes through automation. Automate operational workflows using PowerShell, Python, and CI/CD tooling.
- Ensure all data is protected and secure
- Participate in our on-call rotation
- Troubleshoot and tune high-load production systems, including complex performance and replication issues.
- Lead technical response during high-severity incidents and conduct root cause analysis.
- Ensure database security, backup integrity, and disaster recovery readiness.
- Contribute to the development of best practices for database engineering and reliability.
- Collaborate cross-functionally to design scalable, resilient data architectures.
- Mentor team members and contribute to engineering best practices.
Qualifications
Minimum Qualifications
- 3+ years of hands-on experience managing database systems
- Basic understanding of multi-tenant, database-driven applications
- Familiarity with common data storage technologies and use cases
- Proficiency in a common high-level language such as PowerShell or Python
- Design, implement, and support SQL Server Always On Availability Groups, clustering, and transactional replication
- Lead and execute major upgrade initiatives (e.g., SQL Server version upgrades, compatibilitylevel transitions)
- Own disaster recovery validation and failover strategy execution
- Investigate and resolve complex replication and distribution database failures
Preferred Qualifications
- 5+ years of hands-on experience administering production database systems at scale
- Bachelor’s degree in a related field
- Experience with database high-availability technologies
- Experience with MongoDB (including replica sets and Atlas), DynamoDB, or other distributed NoSQL platforms
- Familiarity with cloud-native database architectures (AWS preferred)
- Exposure to data platform modernization initiatives (e.g., migration to newer engine versions, consolidation, cloud adoption)
- Knowledge of relational database design concepts in an OLTP environment
- Experience managing database systems in a cloud environment
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Commitment to continuous learning and professional development
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
We believe in transparency and fairness in our compensation practices.
For this position, the expected base pay range is: $90,000-$140,000 per year.
This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.
For this position, the expected discretionary bonus is 10% of the annual base salary.
Benefits
- Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
- A 6% 401(k) match
- Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
- 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
- Accident, critical illness, and hospital indemnity insurance
- Pet insurance
- Legal assistance and identity theft insurance plans
- Life insurance 2x salary
- Access to the Calm app and the Employee Assistance Program
- $65/month Remote work stipend for internet
- Culture and team-building activities
- Tuition assistance
- Career development opportunities
- Charitable contribution match up to $250 per year
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
Ready to apply?
Apply to Rithum LinkedIn BoardSenior Software Engineer, Enterprise Platform
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About Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Senior Software Development Engineer (SDE 3) to architect, build, and operate software systems that power enterprise functions across Twitch and Amazon. This is a hands-on engineering role — you'll write production code, own team-level architecture, and lead multi-engineer projects from design through deployment and operations.
The problems you'll solve don't come with a predefined technology strategy. The business direction is understood — the how is up to you. You'll design and deliver solutions using AWS-native services and AI/agentic patterns, working across domains like Finance, Customer Service, Sales, and Marketing. You'll iterate fast, ship incrementally, and raise the engineering bar for your team through exemplary code, pragmatic design, and mentorship. We need someone who builds, not just advises. You own the architecture and the code.
You can work in San Francisco, CA; Irvine, CA; or Seattle, WA.
You Will:
- Lead projects requiring work from multiple engineers — owning end-to-end design, integration of parallel work, and delivery across the full software lifecycle (design, implementation, testing, deployment, operations)
- Own team-level architecture for enterprise systems, providing system-wide design guidance and ensuring solutions are cohesive, extensible, and secure
- Build and operate production applications on AWS-native services (Lambda, Step Functions, DynamoDB, Bedrock, S3, CDK, API Gateway, etc.)
- Design and deliver AI-powered and agentic workflows that ship to production — automating business processes, reducing toil, and accelerating delivery
- Define agentic architecture patterns and establish best practices for building, testing, and operating AI systems in production — setting the engineering standard for how the team builds with AI
- Design and build data pipelines, data lake integrations, and data models that enable clean, reliable data flows across enterprise systems
- Drive adoption of engineering best practices on your team; set a culture of robust software development through exemplary code, design reviews, and operational rigor
- Actively mentor and coach other engineers, helping them grow their technical skills and independence
- Proactively simplify systems, resolve architecture deficiencies, and reduce operational burden — identifying one-way-door decisions and advocating for the right long-term solutions
- Communicate technical designs and decisions effectively in writing; develop an understanding of problems that lets you explain them to others in simple, concise terms
You Have:
- 5+ years of software development experience shipping production systems
- 2+ years of hands-on experience building AI/ML-powered systems deployed to production
- Experimentation with agentic architectures is necessary. And production launch is a
- Proficiency in multiple programming languages (e.g., Python, TypeScript/JavaScript, Java)
- Experience designing and building applications using AWS-native services — not just deploying vendor software on cloud infrastructure
- Demonstrated ability to lead projects involving multiple engineers, owning architecture decisions and integration of parallel work
- Experience designing and building data pipelines, data models, or data lake systems
- Track record of shipping incrementally — prototyping, validating, iterating, and delivering frequently
- Strong written communication skills; ability to produce technical design documents that create alignment with peers and technical leadership
- Demonstrated ability to solve complex problems with multiple risks and roadblocks, delivering solutions that are as simple as possible
Bonus Points
- Experience across AI/ML engineering and data engineering practices (5+ years combined)
- Familiarity with enterprise platforms (e.g., Salesforce, ServiceNow) as a consumer or integrator
- Experience with security standards and compliance frameworks (SOC2, SOX, GDPR)
- Experience working in enterprise domains such as Finance, Customer Service, Sales, or Marketing
- Mobile development experience (iOS, Android, or cross-platform)
- Experience working in a large-scale, multi-org environment
- Familiarity with integration patterns, middleware, and master data management concepts
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9169
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to Twitch
Staff DevOps Engineer
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About Crunchyroll
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
About the Team
At Crunchyroll, our Cloud Reliability team within the Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable. Cloud Reliability team members will engage directly with development teams on helping them become empowered and effective at delivering on our Infrastructure.
About the role
As a Staff DevOps Engineer within the Infrastructure Engineering team, you are essential in automating and scaling the systems and services that power our streaming platform. You will work with our DevOps team, delivery teams and lead projects related to infrastructure automation, scaling, CICD, driving them forward to completion and ensuring that the platform processes, automation and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery and architecture / infrastructure. You are expected to be highly collaborative working across teams to understand the needs, establish best practices and automate them whenever possible. You will also play a key role in partnering with our development teams and understanding their needs and assisting them in their journey.
You will report to the Senior Manager, Cloud Reliability - Infrastructure Engineering. We are considering applicants for our Los Angeles, CA or San Francisco, CA offices. We work a hybrid schedule, in-office 3 days a week.
About you
The ideal candidate for the Staff DevOps Engineer role has a strong background in DevOps, automation, infrastructure as code and enabling software engineers to deliver independently and safely at scale. You have experience in building and scaling high-availability systems, with a focus on operational excellence. This role involves leading and mentoring other engineers, collaborating with cross-functional teams, and continually improving our technology platform and infrastructure. Your ability to excel in a collaborative environment sets an example for fellow engineers, contributing to a culture of high quality and standards in all aspects of our work.
Requirements:
- At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
- 12+ years of relevant experience in DevOps and infrastructure management.
- 8+ years working in production environments, combining DevOps and software engineering.
- 5+ years of experience managing containerized infrastructure in ECS or Kubernetes.
- Proficiency in automation, creating reusable patterns and solutions.
- Expertise in GitOps practices and CI/CD, including tools like GHA & CodeDeploy and infrastructure automation within CI/CD.
- 5+ years experience in AWS and its major services such as ECS, S3, SQS, Lambda, containerization, utilizing Infrastructure as Code (IaC) such as Pulumi and Terraform.
- Proficient in programming in TypeScript with familiarity of other languages such as Go or Python.
- Familiarity with relational databases (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., DynamoDB).
- Experience guiding software engineers in production best practices, sharing knowledge across teams.
- Design and deployment experience with data sovereignty-driven designs (e.g., GDPR).
- Collaboration with other engineers to build tools and systems supporting services and facilitating high-quality software delivery.
Pluses:
- Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
- Familiarity with big data and payments domain.
- Understand security concepts such as cryptography, authentication, authorization, and security protocols.
- Experience with Vault, Packer or other HashiCorp tools.
- Knowledge, or working experience with GCP.
Why you will love working at Crunchyroll
In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:
- Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
- Flexible time off policies allowing you to take the time you need to be your whole self.
- Generous medical, dental, vision, STD, LTD, and life insurance
- Health Saving Account HSA program
- Health care and dependent care FSA
- 401(k) plan, with employer match
- Employer paid commuter benefit
- Support program for new parents
- Pet insurance and some of our offices are pet friendly!
#LifeAtCrunchyroll #LI-Hybrid
About our Values
We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value
-
Courage. We believe that when we overcome fear, we enable our best selves.
-
Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.
- Kaizen. We have a growth mindset committed to constant forward progress.
-
Service. We serve our community with humility, enabling joy and belonging for others.
Our commitment to diversity and inclusion
Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.
We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.
Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs
Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf
Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.
Ready to apply?
Apply to Crunchyroll, LLC
Senior DevOps Engineer, Core Infrastructure Engineering
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About Crunchyroll
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
About the role
As a Senior DevOps Engineer within the Core Infrastructure team, you are a key person in managing and scaling the systems and services that power our streaming platform. Your expertise in cloud technologies and DevOps methodologies enables you to take on complex challenges independently and create scalable solutions that meet our customers' needs. You will work with our delivery teams and lead projects, driving them forward to completion and ensuring that the platform processes and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery. You will work with our delivery teams to ensure that their systems are efficient and reliable, guide them to better quality and practices including observability and troubleshooting of services & incident management. You are expected to take initiatives to improve what we do overall, introduce new technologies & processes when it is needed and share knowledge across teams.
You will report to the Senior Manager, Core Infrastructure Engineering.
About You
You have an in-depth understanding of Software and DevOps methodologies, automation, and infrastructure as code. Your experience in designing, building, and scaling high availability systems shows your commitment to operational excellence. You excel in a collaborative environment and can work well with your teammates, providing a good example to other engineers to achieve high quality and standards in everything they do.
Requirements:
- At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
- 8+ years of experience working in production-level environments as a DevOps/SRE
- Proficient in AWS cloud technologies, coupled with Infrastructure as Code (IaC) such as Pulumi and Terraform
- 3+ years of experience managing containerized infrastructure in ECS or Kubernetes
- Experience in GitOps practices and CI/CD.
- Experience managing Linux based infrastructure.
- Experience with observability and instrumentation of services so that efficient dashboards and alerts are created.
- Familiarity with relational databases like PostgreSQL, MySQL and non-relational databases like MongoDB, DynamoDB.
- Experience with CDN and caching technologies including AWS CloudFront.
- Experience working with and guiding Software Engineers in production best practices, sharing knowledge across teams and teammates.
- Experience in at least two or more scripting languages including TypeScript.
- Able to accommodate periodic off-hour meetings with the international team members.
- Excellent communication skills and ability to collaborate with stakeholders.
- Participate in an on-call and developer support rotations.
Pluses:
- Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
- Proficiency in TypeScript
- Familiarity with big data and payments domain.
- Understand security concepts such as cryptography, authentication, authorization, and security protocols.
- Familiarity with Datadog
- Familiarity with GitHub Actions
About the Team
At Crunchyroll, our Core Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable.
Why you will love working at Crunchyroll
In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:
- Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
- Flexible time off policies allowing you to take the time you need to be your whole self.
- Generous medical, dental, vision, STD, LTD, and life insurance
- Health Saving Account HSA program
- Health care and dependent care FSA
- 401(k) plan, with employer match
- Employer paid commuter benefit
- Support program for new parents
- Pet insurance and some of our offices are pet friendly!
#LifeAtCrunchyroll #LI-Hybrid
About our Values
We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value
-
Courage. We believe that when we overcome fear, we enable our best selves.
-
Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.
- Kaizen. We have a growth mindset committed to constant forward progress.
-
Service. We serve our community with humility, enabling joy and belonging for others.
Our commitment to diversity and inclusion
Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.
We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.
Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs
Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf
Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.
Ready to apply?
Apply to Crunchyroll, LLC
Software Engineer III, Memberships
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About Crunchyroll
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
About the Role
As a Software Engineer III on our Memberships Team, you will help shape the future of our Service Monetization Platform. You will architect, build and optimize our membership platform that powers revenue collection for Crunchyroll. Working with design, product, quality and data teams, you will solve complex challenges, optimize performance, and enhance user experience, directly contributing to the growth of the Crunchyroll fanbase.
In the role of Software Engineer III, you will report to the Engineering Manager of the Memberships team.
We are considering applicants for the location(s) of San Francisco, CA.
About You
We get excited about candidates, like you, because
- You’re an experienced and passionate Backend Engineer with experience building robust and reliable backend services (5+ years of relevant experience in the software industry)
- You’re experienced in Typescript or Node.js, Java, GoLang, PHP,
- You’re experienced with cloud technologies (ECS, Lambda, EC2, API Gateway, SQS, SNS, EventBridge)
- You’re experienced with databases (PostgresDB/MariaDB, DynamoDB/MongoDB)
- You’re experienced in operational excellence (on-call rotations, incident management)
- You excel in an Agile and collaborative environment, where your insights and expertise will help create technical solutions loved by our fans.
About the Team
The Membership team is responsible for building and maintaining systems that assist in subscription management and granting benefits for our customers. We are directly tied to one of the main streams of revenue and pride ourselves on quality code, service reliability, and teamwork. Our day to day includes executing payment & subscription processing, marketing strategies, process improvements by leveraging analytics and partnering with customer support. Our services process millions of subscriptions in a highly secure, distributed, and scalable environment that is constantly evolving to meet the needs of both our users and privacy standard processes.
Why you will love working at Crunchyroll
In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:
- Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
- Flexible time off policies allowing you to take the time you need to be your whole self.
- Generous medical, dental, vision, STD, LTD, and life insurance
- Health Saving Account HSA program
- Health care and dependent care FSA
- 401(k) plan, with employer match
- Employer paid commuter benefit
- Support program for new parents
- Pet insurance and some of our offices are pet friendly!
#LifeAtCrunchyroll #LI-Hybrid
About our Values
We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value
-
Courage. We believe that when we overcome fear, we enable our best selves.
-
Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.
- Kaizen. We have a growth mindset committed to constant forward progress.
-
Service. We serve our community with humility, enabling joy and belonging for others.
Our commitment to diversity and inclusion
Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.
We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.
Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs
Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf
Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.
Ready to apply?
Apply to Crunchyroll, LLC
Data Engineer III
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About Crunchyroll
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
About the Team
The Data Services team is focused on building robust, scalable, and efficient data services, pipelines, lakes, tools, libraries, and software components that drive best practices and empower service teams to succeed. We design and implement data services, pipelines and data lakes for operational analysis, ensuring they are production-ready with automation and standardized access controls.
We lead and evangelize the principle of 100% automation. Additionally, we establish best practices, provide training, and document data architectures to ensure our systems are reliable, future-ready, and capable of continuous evolution and process improvement across the organization.
About the Role
Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.
As a Software Engineer, you will play a pivotal role in designing, implementing, and optimizing data services, ensuring that our data services support the needs of the business. You will also collaborate with cross-functional teams to enhance eventing systems, and develop tools that empower our data and services teams. Your expertise will also be critical in driving 100% automation, best practices, creating scalable services, and optimizing our data environments.
Key Areas of Responsibility
- Write clean, maintainable, and well-documented API and code while adhering to industry best practices, including code reviews and design patterns.
- Identify and resolve performance bottlenecks, ensuring that both frontend and backend components are optimized for speed and reliability.
- Contribute to the automation and optimization of build, deployment, and monitoring processes to support a smooth development lifecycle.
- Develop and maintain comprehensive test suites (unit and integration) to ensure system reliability and robustness.
- Implement and maintain security best practices, safeguarding sensitive data and ensuring compliance with relevant standards and regulations.
- Must be proficient in both TypeScript and Python
- Design, build, and maintain scalable applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
- Build event-driven architectures and event interfaces using AWS services such as SNS/SQS, EventBridge, Kinesis, or Kafka.
- Deep understanding of AWS Processing Framework like Step Functions
- Architect and optimize database schemas and queries for relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
- Collaborate with service engineers, data engineers, and product teams to deliver high-quality software solutions.
- Apply best practices for code quality, security, testing, and performance optimization.
About you
We get excited about candidates, like you, because...
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in backend engineering, specializing in microservices, APIs, and event-driven systems.
- Strong expertise in TypeScript (Node.js) and Python.
- Experience in building applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
- Deep understanding of cloud-based architectures (AWS preferred), including serverless frameworks, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Hands-on experience with event-driven architectures and event interfaces (Kafka, SNS/SQS, EventBridge, Kinesis).
- Strong database design skills across relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
- Excellent problem-solving skills, ownership mentality, and ability to work in a collaborative, fast-paced environment.
NIce to Have:
- Experience with retrieval-augmented generation (RAG) or Graph RAG architectures.
- Knowledge of fine-tuning and optimizing LLMs for performance and cost efficiency.
Why you will love working at Crunchyroll
In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:
- Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
- Flexible time off policies allowing you to take the time you need to be your whole self.
- Generous medical, dental, vision, STD, LTD, and life insurance
- Health Saving Account HSA program
- Health care and dependent care FSA
- 401(k) plan, with employer match
- Employer paid commuter benefit
- Support program for new parents
- Pet insurance and some of our offices are pet friendly!
#LifeAtCrunchyroll #LI-Hybrid
About our Values
We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value
-
Courage. We believe that when we overcome fear, we enable our best selves.
-
Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.
- Kaizen. We have a growth mindset committed to constant forward progress.
-
Service. We serve our community with humility, enabling joy and belonging for others.
Our commitment to diversity and inclusion
Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.
We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.
Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs
Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf
Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.
Ready to apply?
Apply to Crunchyroll, LLC
Staff DevOps Engineer
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About Crunchyroll
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
About the Team
At Crunchyroll, our Cloud Reliability team within the Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable. Cloud Reliability team members will engage directly with development teams on helping them become empowered and effective at delivering on our Infrastructure.
About the role
As a Staff DevOps Engineer within the Infrastructure Engineering team, you are essential in automating and scaling the systems and services that power our streaming platform. You will work with our DevOps team, delivery teams and lead projects related to infrastructure automation, scaling, CICD, driving them forward to completion and ensuring that the platform processes, automation and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery and architecture / infrastructure. You are expected to be highly collaborative working across teams to understand the needs, establish best practices and automate them whenever possible. You will also play a key role in partnering with our development teams and understanding their needs and assisting them in their journey.
You will report to the Senior Manager, Cloud Reliability - Infrastructure Engineering. We are considering applicants for our Los Angeles, CA or San Francisco, CA offices. We work a hybrid schedule, in-office 3 days a week.
About you
The ideal candidate for the Staff DevOps Engineer role has a strong background in DevOps, automation, infrastructure as code and enabling software engineers to deliver independently and safely at scale. You have experience in building and scaling high-availability systems, with a focus on operational excellence. This role involves leading and mentoring other engineers, collaborating with cross-functional teams, and continually improving our technology platform and infrastructure. Your ability to excel in a collaborative environment sets an example for fellow engineers, contributing to a culture of high quality and standards in all aspects of our work.
Requirements:
- At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
- 12+ years of relevant experience in DevOps and infrastructure management.
- 8+ years working in production environments, combining DevOps and software engineering.
- 5+ years of experience managing containerized infrastructure in ECS or Kubernetes.
- Proficiency in automation, creating reusable patterns and solutions.
- Expertise in GitOps practices and CI/CD, including tools like GHA & CodeDeploy and infrastructure automation within CI/CD.
- 5+ years experience in AWS and its major services such as ECS, S3, SQS, Lambda, containerization, utilizing Infrastructure as Code (IaC) such as Pulumi and Terraform.
- Proficient in programming in TypeScript with familiarity of other languages such as Go or Python.
- Familiarity with relational databases (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., DynamoDB).
- Experience guiding software engineers in production best practices, sharing knowledge across teams.
- Design and deployment experience with data sovereignty-driven designs (e.g., GDPR).
- Collaboration with other engineers to build tools and systems supporting services and facilitating high-quality software delivery.
Pluses:
- Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
- Familiarity with big data and payments domain.
- Understand security concepts such as cryptography, authentication, authorization, and security protocols.
- Experience with Vault, Packer or other HashiCorp tools.
- Knowledge, or working experience with GCP.
Why you will love working at Crunchyroll
In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:
- Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
- Flexible time off policies allowing you to take the time you need to be your whole self.
- Generous medical, dental, vision, STD, LTD, and life insurance
- Health Saving Account HSA program
- Health care and dependent care FSA
- 401(k) plan, with employer match
- Employer paid commuter benefit
- Support program for new parents
- Pet insurance and some of our offices are pet friendly!
#LifeAtCrunchyroll #LI-Hybrid
About our Values
We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value
-
Courage. We believe that when we overcome fear, we enable our best selves.
-
Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.
- Kaizen. We have a growth mindset committed to constant forward progress.
-
Service. We serve our community with humility, enabling joy and belonging for others.
Our commitment to diversity and inclusion
Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.
We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.
Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs
Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf
Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.
Ready to apply?
Apply to Crunchyroll, LLC
Software Engineer, Deployment Infrastructure
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About Vercel:
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.
About the Role:
CI/CD is the beating heart of Vercel. Whether you’re previewing a new idea from v0 or shipping the next great thing to production, every customer builds — and millions of builds flow through our systems every day.
As a Senior Infrastructure Engineer on the CI/CD team, you’ll take ownership of the systems that power these builds at scale. You won’t just contribute features — you’ll be responsible for the design, reliability, and evolution of the platform itself. You’ll make decisions that shape performance, define best practices, and ensure the developer workflows that Vercel and our customers depend on are fast, resilient, and secure.
This role blends product thinking with deep systems ownership. You’ll partner with teams across Vercel to build and operate infrastructure that directly impacts how developers ship software on the web.
We’re looking for engineers who want to own high-scale systems end-to-end, thrive on improving the developer experience, and are driven to have a lasting impact on how modern software gets built and delivered.
What You Will Do:
- Own and evolve the infrastructure that powers Vercel’s build and deployment lifecycle — from handling webhooks to designing resilient database schemas and building scalable APIs.
- Design and operate high-performance microservices that process millions of builds daily, ensuring speed, reliability, and developer delight.
- Lead projects end-to-end: from identifying opportunities to defining technical direction and delivering improvements in performance, reliability, and developer experience.
- Collaborate across teams to align infrastructure with company-wide goals and ensure seamless developer workflows.
- Shape the long-term vision of CI/CD at Vercel by setting standards for scalability, reliability, and developer productivity.
- Participate in the on-call rotation, taking responsibility for the reliability of critical systems.
- Contribute to the open-source community, representing Vercel’s commitment to advancing developer tools globally.
- Write clean, efficient, tested, and well-documented code that others can build upon confidently.
About You:
- 6+ years of experience designing, building, and operating backend applications and distributed systems at scale.
- Strong proficiency in JavaScript/TypeScript, with the ability to navigate and improve complex systems.
- Strong proficiency with cloud infrastructure (AWS) and infrastructure as code (Terraform)
- A track record of end-to-end ownership — from design and implementation through to long-term operation in production.
- Skilled at cross-team collaboration, able to influence priorities and drive alignment toward shared goals.
- Comfortable setting direction and defining architectural standards that scale across teams, balancing long-term vision with pragmatic delivery.
- Experienced in mentoring and elevating those around you, fostering strong engineering practices.
- Curious, eager to learn, and motivated to push the boundaries of how modern software gets built and shipped.
Bonus If You:
- Are familiar with React or Next.js
- Have experience with DynamoDB
- Have worked to develop a CI/CD platform or internal developer platform used by other engineers.
- Have experience contributing to, or participating in open-source projects.
- Have experience optimizing build systems for monorepos or polyrepo setups.
- Have experience with build caching, artifact storage, or dependency management at scale.
Benefits:
- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
- Flexible Time Off.
- We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The base pay range for this role is $180,000.00 - $260,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Ready to apply?
Apply to VercelAbout Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
The Twitch Ads team manages the systems that power ad delivery to millions of users, balancing revenue generation with creator, viewer, and advertiser satisfaction. Our team owns critical ad services– from eligibility decisions to real-time delivery– and operates at the intersection of Twitch’s video platform and Amazon’s advertising ecosystem. We drive essential business operations, build trustworthy products for advertisers, and shape the ad experience for viewers.
In this role you will work closely with engineers across Twitch Ads and Amazon Ads and partner with product managers, designers, and data analysts to architect and ship solutions that unlock exciting new ads formats, placements, and capabilities. Your work will directly impact Twitch’s advertising revenue and shape how millions of people experience ads on Twitch.
This position is in San Francisco, CA.
You Will:
- Work with product managers, technical leads, and other engineers to design, develop, launch, and operate technical projects
- Build distributed applications at scale
- Collaborate with both your team and related teams, developing your skills on how to solve problems and deliver solutions
- Work backwards from customer problems to drive business impact
You Have:
- 2+ years experience developing software in a professional environment
- Prior experience building consumer-facing products at scale
- Proficient coding skills in modern languages and frameworks
- Proven ability with algorithms, data structures, data modeling, and schema design
- Minimum of Bachelor’s degree in Computer Science or equivalent experience
Bonus Points
- Experience with languages/frameworks we use at Twitch: Golang, Typescript/React
- Experience building software and services using AWS technologies such as DynamoDB, Lambda, SQS, and Kinesis
- Experience using AI coding assistants and LLMs to accelerate development workflows
- Familiarity with Twitch, gaming, and/or streaming on Twitch
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9162
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to Twitch
Staff Backend Engineer - Search FX (Discovery Experience)
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About the Role:
The Discovery Search team (Search FX) sits at the intersection of search, evaluation, and personalization shaping how retailers find the products they love. Our mission is to build the most intuitive, intelligent, and delightful discovery experience in wholesale: one that feels less like a search engine and more like a trusted merchant with an encyclopedic knowledge of what's in stock and what will sell.
As a Staff Engineer on the Search FX team, you will be a primary technical architect for our retailer-facing search surfaces. You will own the technical roadmap for search, recommendations, and Gen-AI experiences that drive a meaningful share of marketplace engagement. You will bridge the gap between high-scale infrastructure and world-class UX, helping unify retrieval, ranking, and personalization into a cohesive, high-performance system.
You’re excited about this role because...
- You will own the technical vision: Define the end-to-end architecture for Faire's search and discovery experience, ensuring it is fast, relevant, and deeply personalized.
- You’ll build at the AI frontier: Integrate LLM-powered capabilities, such as natural language search and intelligent query understanding, directly into the product.
- You’ll solve complex scale problems: Help build high-scale, low-latency systems that navigate millions of products while meeting strict industry latency benchmarks.
- You’ll drive cross-functional impact: Partner closely with Data Science, Product, and Design to iterate on ranking models and UX components.
- You’ll be a mentor and leader: Foster a culture of engineering excellence and ownership, upskilling the team on technical expertise and decision-making.
What You'll Do:
- Architect Next-Gen Search: Lead the design of composable grids, intent-aware routing, and orchestration layers that unify retrieval and ranking.
- Modernize Query Understanding: Leverage LLMs to consolidate the QU stack, improving accuracy for long-tail queries and edge cases.
- Optimize Performance: Drive initiatives to increase retrieval candidates (e.g., 10x growth) while maintaining stable search latency.
- Launch AI-Driven Features: Develop systems like "Search Missions" that use offline pipelines and LLMs to recover failed search sessions through expanded queries.
- Bridge AI and UX: Work with client engineers on SDUI and React Server Components to improve performance and developer velocity for dynamic search layouts.
- System Ownership: Take accountability for the reliability and observability of the search funnel, from query planner refactors to real-time retrieval monitoring.
Qualifications:
- Experience: 7+ years of professional software engineering experience, with 3+ years as a technical leader driving complex, cross-team projects.
- Product Sensibility: A strong user-first mindset and the ability to translate ambiguous business problems into clear technical direction.
- AI/ML Familiarity: Experience partnering with Data Science to deploy and leverage machine learning and gen-AI systems in search experiences across ranking and retrieval.
- Domain Expertise: knowledge of search/query processing, including traditional, semantic, and hybrid frameworks (e.g., Elasticsearch, Lucene).
- Technical Stack: Strong programming skills in Kotlin or Java, with experience in high-performance backend systems, Protocol Buffers, and MySQL.
- Strategic Leadership: Demonstrated ability to contribute to team strategy without supervision and influence the broader organizational roadmap.
Technologies We Use and Teach:
- Backend: Kotlin, Java 16, Hibernate, Guice, Jersey
- Search/Data: Elasticsearch, FAISS, Redis, DynamoDB
- Communication: Protocol Buffers, HTTP, JSON
- Infrastructure: AWS, Kubernetes, Buildkite, Datadog
Salary Range:
Canada: the pay range for this role is $190,500 - $262,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Staff Backend Engineer - Search FX (Discovery Experience)
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About the Role:
The Discovery Search team (Search FX) sits at the intersection of search, evaluation, and personalization shaping how retailers find the products they love. Our mission is to build the most intuitive, intelligent, and delightful discovery experience in wholesale: one that feels less like a search engine and more like a trusted merchant with an encyclopedic knowledge of what's in stock and what will sell.
As a Staff Engineer on the Search FX team, you will be a primary technical architect for our retailer-facing search surfaces. You will own the technical roadmap for search, recommendations, and Gen-AI experiences that drive a meaningful share of marketplace engagement. You will bridge the gap between high-scale infrastructure and world-class UX, helping unify retrieval, ranking, and personalization into a cohesive, high-performance system.
You’re excited about this role because...
- You will own the technical vision: Define the end-to-end architecture for Faire's search and discovery experience, ensuring it is fast, relevant, and deeply personalized.
- You’ll build at the AI frontier: Integrate LLM-powered capabilities, such as natural language search and intelligent query understanding, directly into the product.
- You’ll solve complex scale problems: Help build high-scale, low-latency systems that navigate millions of products while meeting strict industry latency benchmarks.
- You’ll drive cross-functional impact: Partner closely with Data Science, Product, and Design to iterate on ranking models and UX components.
- You’ll be a mentor and leader: Foster a culture of engineering excellence and ownership, upskilling the team on technical expertise and decision-making.
What You'll Do:
- Architect Next-Gen Search: Lead the design of composable grids, intent-aware routing, and orchestration layers that unify retrieval and ranking.
- Modernize Query Understanding: Leverage LLMs to consolidate the QU stack, improving accuracy for long-tail queries and edge cases.
- Optimize Performance: Drive initiatives to increase retrieval candidates (e.g., 10x growth) while maintaining stable search latency.
- Launch AI-Driven Features: Develop systems like "Search Missions" that use offline pipelines and LLMs to recover failed search sessions through expanded queries.
- Bridge AI and UX: Work with client engineers on SDUI and React Server Components to improve performance and developer velocity for dynamic search layouts.
- System Ownership: Take accountability for the reliability and observability of the search funnel, from query planner refactors to real-time retrieval monitoring.
Qualifications:
- Experience: 7+ years of professional software engineering experience, with 3+ years as a technical leader driving complex, cross-team projects.
- Product Sensibility: A strong user-first mindset and the ability to translate ambiguous business problems into clear technical direction.
- AI/ML Familiarity: Experience partnering with Data Science to deploy and leverage machine learning and gen-AI systems in search experiences across ranking and retrieval.
- Domain Expertise: knowledge of search/query processing, including traditional, semantic, and hybrid frameworks (e.g., Elasticsearch, Lucene).
- Technical Stack: Strong programming skills in Kotlin or Java, with experience in high-performance backend systems, Protocol Buffers, and MySQL.
- Strategic Leadership: Demonstrated ability to contribute to team strategy without supervision and influence the broader organizational roadmap.
Technologies We Use and Teach:
- Backend: Kotlin, Java 16, Hibernate, Guice, Jersey
- Search/Data: Elasticsearch, FAISS, Redis, DynamoDB
- Communication: Protocol Buffers, HTTP, JSON
- Infrastructure: AWS, Kubernetes, Buildkite, Datadog
Salary Range:
San Francisco: the pay range for this role is $231,000 - $318,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space!
The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We’re looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies.
You will:
- Build and mature database foundations for Scale, leveraging industry-standard platforms.
- Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc.
- Own services or systems and define their long-term health goals, while also improving the health of surrounding components.
- Mentor other engineers and become deeply involved in architectural design and database best-practices.
- Improve our high engineering standards, tooling, and process.
- Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs.
- Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale.
- Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability.
This role could be a fit if you have:
- 5+ years of industry experience as a database engineer post graduation.
- Engineering experience with building real-time and distributed system architecture.
- Experience designing and self hosting databases on industry standard public cloud platforms
- Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis
- Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication
- Experience developing and optimizing backup and restore functionality to meet RTO goals
- Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand).
- Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads.
Nice to haves:
- Prior startup experience to help us grow responsibly.
- Experience with AWS, Datadog, ElasticSearch
- Experience with cloud-based data warehouse solutions like Snowflake or Databricks.
- Experience with cost optimization strategies and techniques for database platforms.
- Experience developing and designing intermediary data abstraction layers.
- Mentored and grown members of your team or been a tech lead on large projects.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AI
Engineering Manager, Data Platform
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About the Role
As an Engineering Manager on Chime’s Data Platform, leading the Data Storage team, you will own the group that manages Chime’s online and analytical data stores and low-latency metric serving layer. Your team will be responsible for building and operating reliable, scalable, and secure storage foundations that power analytics, experimentation, and AI-driven product experiences across Chime.
You’ll partner closely with other Data Platform squads as well as Product Engineering, Security, and Analytics teams to define storage strategies, data contracts, and SLAs that support both high-scale batch workloads and latency-sensitive online use cases. Your leadership will directly impact how Chime stores, governs, and serves data - enabling trusted, self-serve, AI-ready data for Chimers across the company.
This role is not just about running infrastructure - it’s about setting a vision for the future of data storage at Chime, fostering a culture of technical excellence, and growing a high-performing team that can evolve our architecture as the business and our data scale.
The base salary offered for this role and level of experience will begin at $199,000 and up to $275,000. 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
- Own the strategy and roadmap for Chime’s Data Storage Platform, including Snowflake, data lake and online data stores for low-latency access.
- Design and evolve scalable, high-performance storage architecture that balance reliability, cost, and ease of use for both analytical and in-product workloads.
- Ensure performant and secure data access by defining and enforcing access patterns, partitioning and clustering strategies, indexing, and caching and serving layers for key datasets and metrics.
- Collaborate across Data Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, storage, and consumers.
- Build tooling and automation for governance and compliance across sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability) in partnership with Security, Risk, and Compliance.
- Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence.
- Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the storage and serving layers your team owns.
- Stay ahead of industry trends in data storage, lakehouse architectures, and AI/ML-ready data systems, and thoughtfully introduce technologies that improve our platform’s capabilities.
To thrive in this role, you have
- Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data storage systems.
- Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers.
- Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality.
- Bring deep experience with data infrastructure components, such as data lakes and lakehouses (e.g., Iceberg), data warehouses (e.g., Snowflake), online and offline data stores, and both batch and real-time streaming systems.
- Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data modeling, and partitioning strategies.
- Are comfortable working with modern data and infrastructure technologies, such as Spark, Flink, Kafka, Airflow, Kubernetes, and similar tools.
- Are proficient in Python or similar languages (e.g., Java, Scala) and familiar with SQL and performance tuning for analytical workloads.
- Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents.
- Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) and have helped design systems that meet regulatory and internal standards.
- Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, feature and metric serving).
- Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, and can translate between technical and business contexts.
- Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence.
#LI-Hybrid #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
About Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
We are looking for a Full Stack, Junior Software Engineer to join our Safety Products team, responsible for all the safety related features that our users can see and interact with, be it at the site/app level (TOS enforcement, report creation, processing, resolution, appeal flows, etc.) or at the channel level, by creating and maintaining tools for channel moderators and streamers (bans, timeouts, warnings, AutoMod, Suspicious Users, Shield Mode, etc.).
Our team is based at Twitch headquarters in San Francisco, CA.
You Will:
- Learn about and make contributions to our tech stack, back and front end, mobile, data, infra and more.
- Own and maintain parts of the user experience that support moderation features as well as global safety products.
- Engage with the full software development cycle: contributing to software initiatives, coding with best practices, providing documentation, testing, and delivering software components on time and with quality.
- Work independently and learn to collaborate with a team of cross-functional partners, Product Managers, UX designers, Data and Applied Scientists, Marketers, etc.
You Have:
- 1+ years of professional software development experience, or equivalent in internship, school or solo projects.
- Working knowledge of modern programming languages and frameworks.
- Sharp problem-solving skills, excellent understanding of CS concepts (algorithms, data structures, distributed computing).
- Bachelor's degree in Computer Science or equivalent real-world experience.
Bonus Points
- Any prior experience on the safety or moderation space.
- Familiarity with Twitch's tech stack: Golang, Typescript/React, iOS, Android.
- Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions.
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9158
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to Twitch
Software Engineer, Distributed Systems
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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
At Figma, infrastructure is at the heart of everything we build. As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What You’ll Do at Figma:
- Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.
- Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.
- Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.
- Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.
- Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.
- Debug and resolve complex production issues that span services and layers of the stack.
- Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.
We’d Love to Hear From You If You Have:
- 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering..
- Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.
- Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.
- Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.
- Strong system design skills and a track record of architecting resilient production systems.
- Excellent communication skills, with experience collaborating across teams and mentoring others.
While it’s not required, it’s an added plus if you also have:
- Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.
- Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).
- A history of developing complex, realtime distributed systems at scale.
- A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.
- Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.
- Strong problem-solving skills and a bias for action—especially when tackling high-impact, gritty challenges.
Pay Transparency Disclosure
If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
- Holding interviews in an accessible location
- Enabling closed captioning on video conferencing
- Ensuring all written communication be compatible with screen readers
- Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
Ready to apply?
Apply to Figma
About Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
We are looking for a Full Stack Software Engineer to join our Safety Products team, responsible for all the safety related features that our users can see and interact with, be it at the site/app level (TOS enforcement, report creation, processing, resolution, appeal flows, etc.) or at the channel level, by creating and maintaining tools for channel moderators and streamers (bans, timeouts, warnings, AutoMod, Suspicious Users, Shield Mode, etc.).
Our team is based at Twitch headquarters in San Francisco, CA.
You Will:
- Work across our tech stack, back and front end, mobile, data, infra and more.
- Own and maintain user facing features that support moderation features as well as global safety products.
- Engage with the full software development cycle: leading software initiatives, coding with best practices, providing documentation, testing, and delivering products to our users on time and with quality.
- Work independently and collaborate with a team of cross-functional partners, Product Managers, UX designers, Data and Applied Scientists, Marketers, etc.
You Have:
- 3+ years of professional software development experience.
- A track record of building consumer-facing products.
- Mastery of modern programming languages and frameworks.
- Sharp problem-solving skills, excellent understanding of CS concepts (algorithms, data structures, distributed computing).
- Bachelor's degree in Computer Science or equivalent real-world experience.
Bonus Points
- Any prior experience on the safety or moderation space.
- Familiarity with Twitch's tech stack: Golang, Typescript/React, iOS, Android.
- Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions.
- Familiarity with Twitch, either as a viewer or creator (or both!)
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9152
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to TwitchAbout Pump.co
Gartner predicts that cloud spend will be over $2T/yr by 2030, making it the fastest-growing expense for tech companies. Managing it well demands constant engineering effort—time that could be spent building your product.
At Pump, we're building the fastest way to save ~60% on cloud costs. Our AI-powered platform not only automates savings but also leverages the power of group buying for even deeper discounts. Backed by Y Combinator, we’re on a mission to transform cloud cost optimization through AI.
Our founding team includes experienced entrepreneurs with prior exits, and our culture is fast-paced, collaborative, and flat in structure. If you’re excited about shipping real impact and joining a team at an early, career-defining stage—we’d love to meet you.
About the Role
Skills: Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus)
As a Backend Engineer, you’ll contribute directly to the core of our product and infrastructure. This role is ideal for someone looking to grow within a strong engineering team while delivering meaningful work that touches real customers.
You’ll collaborate closely with engineers, designers, and founders—working across the stack to build, improve, and scale our platform.
We are 5 days a week in office. No remote work will be considered.
What You’ll Do
- Design, build, and maintain backend services that power the Pump platform
- Work with the team to define and scope new product features
- Contribute to a strong engineering culture by participating in code reviews and continuous improvement
- Help extend our internal tools, dev workflows, and CI/CD pipelines
- Ensure system reliability, performance, and maintainability
- Collaborate across functions to solve real customer problems with intuitive engineering solutions
What We’re Looking For
- 3–15 years of professional backend engineering experience
- Ability to work 5 days a week in office
- Proficiency in Python and familiarity with FastAPI or similar frameworks
- Experience with SQL databases—we use PostgreSQL
- Comfort working in a cloud environment (AWS preferred)
- Familiarity with containerization and orchestration tools like Docker and Kubernetes (nice to have)
- Excitement about early-stage startups and the ability to thrive in fast-moving environments
- Clear communication and collaborative instincts
Bonus Points For
- Experience with cloud billing/cost tooling
- Interest in or exposure to LLMs or AI integrations
- Familiarity with NoSQL databases like DynamoDB
Benefits
-
Comprehensive healthcare and dental coverage for you
-
401(k) plan
-
Generous PTO: 13 accrued days, plus company shutdown December 24—January 1st
-
Free lunch & dinner at the office
-
Annual company-paid retreats
-
Developmental bonuses: support for professional development opportunities tied to cloud and related fields
If you’re ready to grow fast, learn constantly, and make a measurable impact—join us.
Minimum Requirements and Pay
US Citizen/Visa Only - no sponsorships available
Minimum 3 years of experience
Base salary USD 120,000-200,000 per year
Eligible for our highly valuable equity
Ready to apply?
Apply to Pump.co
Staff+ Software Engineer, Databases
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're looking for experienced engineers to build and scale the database infrastructure that powers both Claude's product offerings and Anthropic's research initiatives. As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.
This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.
Responsibilities:
- Drive the technical direction for database solutions used across Product and Research
- Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
- Build and scale database systems through 100x+ growth while maintaining reliability and performance
- Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments
- Develop database infrastructure that serves both product and research workloads with different performance characteristics
- Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation
- Optimize database performance, reliability, and cost efficiency at massive scale
- Make critical build vs. buy decisions for database technologies
You might be a good fit if you:
- Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and scaling database systems
- Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
- Possess deep expertise in distributed database architectures and OLTP systems at scale
- Have successfully scaled databases through massive growth at high-growth companies
- Can balance the speed of a startup environment with the reliability needs of production systems
- Excel at technical leadership and cross-functional collaboration
- Are passionate about building the data layer that enables next-generation AI capabilities
Strong candidates may also have:
- Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems
- Experience with Redis, Temporal, vector databases, or async job processing frameworks
- Experience building multi-cloud or hybrid cloud database solutions
- Knowledge of database orchestration and automation at scale
- Background at companies known for database excellence
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
About Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Team
Twitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve g the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform.
About the Role
Join Twitch's Commerce Engineering organization, where we're revolutionizing how viewers engage with their favorite creators. We are the teams behind Subscriptions, Gifting, Bits, Hype Train and Turbo products. From experimental features to established systems used by millions, we're constantly pushing the boundaries of what's possible in live streaming.
You can work from Seattle, WA or San Francisco, CA.
You Will:
- Craft immersive, interactive experiences that keep viewers supporting creators while engaging with the Twitch Community
- Architect and build robust, scalable applications that can handle millions of concurrent users
- Collaborate across teams to create cohesive solutions that drive business impact
- Transform customer feedback into innovative features that enhance the Twitch experience
You Have:
- Excellent verbal and written communication skills; Ability to effectively collaborate with teammates is critical to success.
- A track record of building consumer-facing products that users love
- Demonstrable experience of modern programming languages and frameworks
- Sharp problem-solving skills with a focus on algorithms, data structures, and schema design
- Bachelor's degree in Computer Science or equivalent real-world experience
Bonus Points
- Experience with mobile development, either native or hybrid
- Familiarity with Twitch's tech stack: Golang, Typescript/React
- Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
- A passion for gaming, streaming, or the Twitch platform
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9135
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to TwitchAbout Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Team
Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It's where millions of people come together to chat, interact, and make their own entertainment.
We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and Twitter, get interviewing tips on Instagram, and discover projects we're solving on our Blog.
About the Role
Creators are the backbone of Twitch, and their sustainability relies primarily on their ability to earn a living doing what they love. As a member of the engineering team, you will report to the Senior Engineering Manger of the Creator Sponsorships team. Your core focus will be building products and features that unlock influencer marketing at scale, enabling creators to earn a living and driving value for brands.
Our team owns Creator Sponsorships and Drops, with products ranging from greenfield and experimental, to scaled and used by millions. You will become an expert across the breadth of services powering these products - architecting, building, and operating them. You will be empowered to work across the stack, and will partner with other engineers, product managers, designers, and data specialists to deliver solutions.
This position is hybrid with a base in San Francisco, CA or Seattle, WA.
You Will:
- Work with product managers, technical leads, and other engineers to design, develop, launch, and operate interactive experiences
- Build distributed applications at scale
- Collaborate with both your team and related teams - fostering shared understanding of how to solve common problems and deliver solutions
- Work backwards from customer problems to drive business impact
You Have:
- 1+ Years experience developing software in a professional environment
- Prior experience building consumer-facing products at scale
- Proficient coding skills in modern languages and frameworks
- Proven ability with algorithms, data structures, data modeling, and schema design
- Minimum of Bachelor’s degree in Computer Science or equivalent experience
Bonus Points
- Experience with languages/frameworks we use at Twitch: Golang, Typescript/React
- Experience building software and services using AWS technologies such as ECS, DynamoDB, Lambda, SQS, and Step Functions
- Familiarity with Twitch, gaming, and/or streaming on Twitch
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9053
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to TwitchAbout Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products – systems that optimize revenue and detect fraud while serving millions of users in real-time.
From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.
Our team are based in San Francisco, CA and Seattle, WA
You Will:
- Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
- Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
- Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
- Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
- Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
- Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
- Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts
You Have:
- 1+ years of professional software development experience with a focus on building scalable systems
- Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
- Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies
- A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements
- Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)
- Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design
- Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience
Bonus Points
- Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond
- Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines
- Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
- Knowledge of real-time ML serving systems and model deployment at scale
- Experience with fraud detection, recommendation systems, or monetization optimization
- A passion for gaming, streaming, or the Twitch platform
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9103
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to TwitchAbout Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products – systems that optimize revenue and detect fraud while serving millions of users in real-time.
From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.
Our team are based in San Francisco, CA and Seattle, WA
You Will:
- Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
- Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
- Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
- Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
- Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
- Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
- Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts
You Have:
- 1+ years of professional software development experience with a focus on building scalable systems
- Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
- Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies
- A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements
- Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)
- Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design
- Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience
Bonus Points
- Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond
- Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines
- Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
- Knowledge of real-time ML serving systems and model deployment at scale
- Experience with fraud detection, recommendation systems, or monetization optimization
- A passion for gaming, streaming, or the Twitch platform
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9103
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to TwitchAbout Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
We are seeking Software Engineers to join the ML Products team. This team is focused on matching Twitch viewers with the communities they will love. To do this, we own the systems which power recommendations, search, notifications, feed, and onboarding. As a member of our team, you'll work to improve these products, invest in new ones, and make Twitch discovery better for both viewers and creators. You'll be part of a larger team of Software Engineers and partner with Product Managers, Applied Scientists, and other engineering teams across the company.
This role is based in San Francisco, CA.
You Will:
- Maintain and improve the systems which power discovery on Twitch
- Partner with Applied Scientists to improve ML models that match interested viewers with relevant creators
- Collaborate with Product Managers to build, experiment, and roll out new Twitch discovery experiences
You Have:
- Bachelor's degree in Computer Science or a related field (or equivalent industry experience as a Software Engineer)
- 1+ years of experience delivering high quality software in a production environment
- Proficient coding skills in modern languages and frameworks
- Familiarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentals
- Willingness to try new things and collaborate with a diverse group of people
Bonus Points
- Experience with AWS technologies (such as S3, ECS, Lambda, DynamoDB, Redis, SQS, Flink, OpenSearch, and Sagemaker)
- Experience writing Go in production systems
- Experience with recommendations, search, or notification systems
- Experience building and maintaining ML systems in production environments
- Familiarity with Twitch and/or streaming on Twitch
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW8946
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Ready to apply?
Apply to TwitchAbout Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role:
Faire operates at serious scale — a global marketplace handling real money movement, sensitive business data, and the financial futures of hundreds of thousands of independent retailers and brands. Security here isn't a compliance checkbox. It's a core part of how we build, and how we grow.
We've built solid security foundations. Now we're looking for someone to take them to the next level — designing the architecture and automation that lets product engineers build securely by default, without friction. If you're energized by the challenge of making security invisible to developers while making it impossible to skip, this role was written for you.
Our Engineering organization owns the software that makes our marketplace work. Our Product Security team enables product engineering teams to develop and deploy secure software that makes that happen. We care about good engineering practice and love to write software that is secure, tested, easy to maintain, and can scale to millions of users. We build scalable, reusable frameworks; consult with product teams; listen to the data; and iterate.
As a Senior Staff Software Engineer, Product Security, you'll be the technical lead for the Product Security domain — owning the long-term direction for how security is designed, built, and automated across Faire's entire application stack. You will partner closely with Platform and Product Engineering teams to identify and mitigate security risks, lead major security initiatives, and mentor engineers across the company to raise the bar on secure engineering practices.
You will also drive cross-functional programs to ensure security is deeply integrated into our architecture, pipelines, and developer experience — reducing risk while maintaining velocity.
Why now:
Faire has spent the last few years scaling fast — expanding globally, growing to hundreds of thousands of retailers and brands, and building the infrastructure to match. Security has kept pace, but we've reached an inflection point. The foundations are in place. What's next requires a different kind of thinking: less reactive, more architectural. Less manual review, more automation baked into every pipeline and framework from day one.
At the same time, this is a role with room to grow. We're hiring at Senior Staff — a level above what currently exists on the team — because we need someone who can elevate the technical bar across the board and, over time, extend that leadership into infrastructure security as well. The person who takes this seat won't just be joining a team. They'll be defining what the team becomes.
What you'll own:
- Set the long-term technical direction for application security at Faire, establishing scalable, developer-friendly frameworks and principles that enable secure development across all product areas. This role also provides the candidate the opportunity to expand technical leadership scope to infrastructure security.
- Lead the design and implementation of high-impact, reusable frameworks for security use cases such as authentication, authorization, secrets management, and data protection.
- Architect and automate security controls within our development and deployment pipelines — enabling proactive prevention, detection, and remediation of vulnerabilities at scale.
- Partner with senior engineering and platform leaders to influence system design, threat models, and architecture decisions that strengthen Faire's overall security posture.
- Drive strategic cross-functional initiatives, collaborating with Platform, Infrastructure, Risk, and Compliance teams to integrate security deeply into our technical and operational foundations.
- Mentor and guide engineers across the organization, raising the bar for secure software design, technical rigor, and security-first thinking.
- Lead complex investigations and incident response efforts, ensuring rapid, effective remediation and continuous improvement of our security systems.
- Stay ahead of emerging threats and technologies, incorporating modern security practices and automation into Faire's engineering ecosystem.
What you bring:
- Deep expertise in software security architecture and engineering, with a proven ability to design and scale security frameworks across a large, distributed system.
- Strong programming skills and experience in multiple languages (e.g., Kotlin, Python, TypeScript, Java, or Go), with the ability to influence engineering design through code and review.
- A track record of technical leadership — driving company-wide or cross-organizational initiatives that improved security posture, developer experience, or system resilience.
- Experience building and deploying security automation at scale, including CI/CD integrations, vulnerability management pipelines, and automated testing or remediation frameworks.
- Hands-on experience with cloud environments and modern infrastructure (AWS, OCI, GCP), including Kubernetes, Terraform, and container security.
- A deep understanding of application security principles and practices, including authentication, authorization, data protection, and common web application vulnerabilities (OWASP Top 10).
- A strategic mindset — you can balance risk reduction with engineering velocity and developer enablement.
- Excellent communication and collaboration skills, with the ability to influence senior leaders and guide engineering teams across multiple domains.
- A passion for mentoring others and cultivating a security-first engineering culture through partnership, guidance, and empathy.
Technologies we use and teach:
- Kotlin, TypeScript, Python
- AWS, OCI, Terraform, Kubernetes
- HTTP, JSON, and Protocol Buffers
- MySQL, DynamoDB, CockroachDB
Salary range:
Canada: The pay range for this role is $216,000 - 297,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role:
Faire operates at serious scale — a global marketplace handling real money movement, sensitive business data, and the financial futures of hundreds of thousands of independent retailers and brands. Security here isn't a compliance checkbox. It's a core part of how we build, and how we grow.
We've built solid security foundations. Now we're looking for someone to take them to the next level — designing the architecture and automation that lets product engineers build securely by default, without friction. If you're energized by the challenge of making security invisible to developers while making it impossible to skip, this role was written for you.
Our Engineering organization owns the software that makes our marketplace work. Our Product Security team enables product engineering teams to develop and deploy secure software that makes that happen. We care about good engineering practice and love to write software that is secure, tested, easy to maintain, and can scale to millions of users. We build scalable, reusable frameworks; consult with product teams; listen to the data; and iterate.
As a Senior Staff Software Engineer, Product Security, you'll be the technical lead for the Product Security domain — owning the long-term direction for how security is designed, built, and automated across Faire's entire application stack. You will partner closely with Platform and Product Engineering teams to identify and mitigate security risks, lead major security initiatives, and mentor engineers across the company to raise the bar on secure engineering practices.
You will also drive cross-functional programs to ensure security is deeply integrated into our architecture, pipelines, and developer experience — reducing risk while maintaining velocity.
Why now:
Faire has spent the last few years scaling fast — expanding globally, growing to hundreds of thousands of retailers and brands, and building the infrastructure to match. Security has kept pace, but we've reached an inflection point. The foundations are in place. What's next requires a different kind of thinking: less reactive, more architectural. Less manual review, more automation baked into every pipeline and framework from day one.
At the same time, this is a role with room to grow. We're hiring at Senior Staff — a level above what currently exists on the team — because we need someone who can elevate the technical bar across the board and, over time, extend that leadership into infrastructure security as well. The person who takes this seat won't just be joining a team. They'll be defining what the team becomes.
What you'll own:
- Set the long-term technical direction for application security at Faire, establishing scalable, developer-friendly frameworks and principles that enable secure development across all product areas. This role also provides the candidate the opportunity to expand technical leadership scope to infrastructure security.
- Lead the design and implementation of high-impact, reusable frameworks for security use cases such as authentication, authorization, secrets management, and data protection.
- Architect and automate security controls within our development and deployment pipelines — enabling proactive prevention, detection, and remediation of vulnerabilities at scale.
- Partner with senior engineering and platform leaders to influence system design, threat models, and architecture decisions that strengthen Faire's overall security posture.
- Drive strategic cross-functional initiatives, collaborating with Platform, Infrastructure, Risk, and Compliance teams to integrate security deeply into our technical and operational foundations.
- Mentor and guide engineers across the organization, raising the bar for secure software design, technical rigor, and security-first thinking.
- Lead complex investigations and incident response efforts, ensuring rapid, effective remediation and continuous improvement of our security systems.
- Stay ahead of emerging threats and technologies, incorporating modern security practices and automation into Faire's engineering ecosystem.
What you bring:
- Deep expertise in software security architecture and engineering, with a proven ability to design and scale security frameworks across a large, distributed system.
- Strong programming skills and experience in multiple languages (e.g., Kotlin, Python, TypeScript, Java, or Go), with the ability to influence engineering design through code and review.
- A track record of technical leadership — driving company-wide or cross-organizational initiatives that improved security posture, developer experience, or system resilience.
- Experience building and deploying security automation at scale, including CI/CD integrations, vulnerability management pipelines, and automated testing or remediation frameworks.
- Hands-on experience with cloud environments and modern infrastructure (AWS, OCI, GCP), including Kubernetes, Terraform, and container security.
- A deep understanding of application security principles and practices, including authentication, authorization, data protection, and common web application vulnerabilities (OWASP Top 10).
- A strategic mindset — you can balance risk reduction with engineering velocity and developer enablement.
- Excellent communication and collaboration skills, with the ability to influence senior leaders and guide engineering teams across multiple domains.
- A passion for mentoring others and cultivating a security-first engineering culture through partnership, guidance, and empathy.
Technologies we use and teach:
- Kotlin, TypeScript, Python
- AWS, OCI, Terraform, Kubernetes
- HTTP, JSON, and Protocol Buffers
- MySQL, DynamoDB, CockroachDB
Salary range:
San Francisco: The pay range for this role is $268,000 - $368,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
About Altruist
Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients.
We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you!
But first, our values
Kindness - Kindness doesn’t just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully.
Brilliance - Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one.
Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles.
This role follows a hybrid schedule, with three days per week onsite in our Culver City or San Francisco office.
The opportunity
We're hiring a Senior Cloud Infrastructure Engineer to join the Cloud Infrastructure & Platform (CIN) team at Altruist. This is a high-impact, senior individual contributor role responsible for architecting, building, and operating the AWS-based infrastructure that powers our broker-dealer and clearing platform. You will own critical infrastructure domains end-to-end and drive technical decisions that affect the reliability, security, and scalability of systems handling real financial transactions.
As the industry evolves rapidly with generative AI and agentic workflows, we need engineers who combine deep AWS and Kubernetes expertise with the vision and initiative to define how AI/ML tools and patterns can transform infrastructure operations, developer productivity, and platform resilience. This role carries significant technical influence — you will shape infrastructure strategy, lead complex cross-functional initiatives, and raise the bar for engineering practices across the organization.
What sets this role apart
This is not a ticket-driven infrastructure role. At the Senior-to-Staff level, we expect you to:
- Own domains, not just tasks. You will be the technical authority for critical infrastructure areas (e.g., EKS platform, observability strategy, DR architecture, or AI infrastructure) and drive their roadmap.
- Define technical direction. Author architectural decision records (ADRs), propose infrastructure standards, and influence engineering-wide technology choices through design reviews and RFCs.
- Lead without a title. Drive cross-team initiatives, align stakeholders, unblock other engineers, and represent infrastructure perspectives in leadership discussions and planning.
- Multiply the team. Elevate the entire CIN team through mentorship, code reviews, knowledge sharing, and building reusable frameworks and golden paths that scale beyond your individual output.
- Bridge infrastructure and business. Translate complex technical trade-offs into clear recommendations for engineering leadership, product teams, and compliance stakeholders.
Your impact
- Cloud Infrastructure Architecture & Platform Engineering
- Architect, deploy, and operate production AWS infrastructure supporting high-availability financial services workloads (EKS, MSK, RDS/Aurora PostgreSQL, OpenSearch, ElastiCache, S3, CloudFront, and more).
- Own and evolve the Infrastructure as Code (IaC) strategy using Terraform — define module standards, enforce code review practices, and drive adoption of reusable patterns across teams.
- Lead Kubernetes (EKS) platform strategy, including cluster upgrades, node group architecture, Helm chart governance, service mesh evolution, and workload autoscaling policies.
- Design and drive CI/CD platform improvements (GitHub Actions, ArgoCD, or similar) to enable safe, fast, and self-service deployments for application engineering teams.
- Architect and validate disaster recovery (DR) strategies, including cross-region failover designs, backup automation, and leading DR simulation exercises.
- Lead infrastructure design reviews and architectural discussions; ensure solutions meet scalability, security, and compliance requirements before implementation.
- Reliability, Observability & Operational Excellence
- Define and drive the observability strategy across the platform (Datadog, Prometheus, Grafana, CloudWatch, OpenSearch) — including SLO/SLI frameworks, alerting standards, and distributed tracing.
- Serve as a senior on-call escalation point; lead root-cause analysis on critical production incidents and drive systemic improvements through blameless post-mortems.
- Own monthly resource saturation reviews and capacity planning processes; proactively identify scaling needs and present findings to engineering leadership.
- Drive cloud cost optimization strategy: FinOps practices, Reserved Instances/Savings Plans analysis, vendor spend governance, and accountability frameworks across teams.
- Security, Compliance & Networking
- Define and enforce security architecture standards across AWS environments: IAM policy governance, VPC design patterns, encryption strategies, secrets management (Vault, AWS Secrets Manager), and vulnerability remediation workflows.
- Partner with Security, Compliance, and Audit teams to ensure infrastructure meets FINRA, SEC, SOC 2, and other regulatory requirements — and proactively identify gaps before they become findings.
- Own networking architecture decisions including VPC topology, Transit Gateway strategy, VPN configurations, load balancer patterns (ALB/NLB), CDN optimization (Fastly/CloudFront), and DNS management.
- AI/ML Infrastructure & Developer Productivity
- Define the strategy for evaluating, integrating, and governing AI-powered developer tools (e.g., Cursor AI, GitHub Copilot, CodeRabbit) across the engineering organization — including usage analytics, cost optimization, security review, and policy frameworks.
- Architect infrastructure for AI/ML workloads: GPU-enabled compute, SageMaker endpoints, Bedrock integration, vector databases, and data pipeline orchestration.
- Lead the adoption of AI-driven automation for infrastructure operations — intelligent alerting, anomaly detection, auto-remediation, and AIOps patterns — moving from exploration to production integration.
- Build and champion internal platforms and golden paths that leverage generative AI to improve developer experience, reduce operational toil, and accelerate delivery velocity.
- Technical Leadership & Collaboration
- Act as a trusted technical advisor to the Director of Engineering and engineering leadership on infrastructure strategy, trade-offs, and investment priorities.
- Lead cross-functional initiatives spanning application engineering, data, security, and DevSecOps teams — driving alignment on complex multi-team infrastructure projects.
- Represent the CIN team in architecture review boards, incident response leadership, and engineering-wide planning sessions.
- Author and maintain comprehensive technical documentation, runbooks, ADRs, and operational procedures that serve as organizational knowledge assets.
- Mentor senior and mid-level engineers; conduct thorough design and code reviews; actively contribute to hiring and onboarding processes for the CIN team.
What you bring
- 5+ years of hands-on experience in cloud infrastructure engineering, with deep, production-proven expertise in AWS.
- Track record of owning and driving infrastructure initiatives end-to-end — from design and architecture through implementation, rollout, and operational excellence.
- Expert-level proficiency with Terraform, including module design, state management strategies, and establishing IaC standards for engineering teams.
- Extensive production experience operating Kubernetes (EKS strongly preferred) at scale — cluster lifecycle management, multi-tenancy patterns, Helm governance, and GitOps workflows.
- Strong Linux systems engineering skills and advanced scripting proficiency (Python, Bash, or Go).
- Deep expertise in CI/CD platforms (GitHub Actions, ArgoCD, Jenkins) with experience designing deployment strategies for multi-service architectures.
- Expert-level understanding of cloud networking (VPC architecture, Transit Gateway, peering, DNS, load balancing) and security (IAM, KMS, WAF, GuardDuty, Secrets Manager).
- Proven experience designing and operating observability platforms (Datadog, Prometheus/Grafana, CloudWatch, OpenSearch/ELK) at organizational scale.
- Strong experience with database infrastructure and data layer architecture (Aurora PostgreSQL, RDS, ElastiCache/Redis, OpenSearch, DynamoDB).
- Demonstrated ability to lead disaster recovery planning, execute DR simulations, and design HA architecture patterns for mission-critical systems.
- Excellent technical communication skills — ability to write clear ADRs, present to leadership, and translate infrastructure complexity for non-technical stakeholders.
- Proven track record of mentoring engineers and elevating team capabilities through knowledge sharing, design reviews, and tooling improvements.
Bonus points
- 7+ years of infrastructure or platform engineering experience, including 3+ years operating at a senior or staff level.
- Experience in financial services, fintech, broker-dealer, or other heavily regulated industries with FINRA/SEC compliance requirements.
- AWS certifications at the Professional or Specialty level: Solutions Architect Professional, DevOps Engineer Professional, Security Specialty, or Machine Learning Specialty.
- Experience with event streaming platforms at scale (Amazon MSK / Apache Kafka) including cluster operations, partition strategy, and consumer group management.
- Hands-on experience with API gateway management and platform design (Kong, AWS API Gateway).
- Demonstrated experience with AI/ML infrastructure: provisioning GPU compute, SageMaker/Bedrock integration, vector databases, MLOps pipelines, or AIOps automation in production.
- Experience defining and executing organizational rollout strategies for AI developer tools, including governance frameworks, usage analytics, and cost management.
- Proficiency with policy-as-code frameworks (OPA/Rego, Sentinel, Kyverno) for infrastructure governance and compliance automation.
- FinOps certification or demonstrated experience leading cloud cost optimization programs at scale.
- Experience authoring RFCs, ADRs, or technical strategy documents that influenced engineering-wide decisions.
- Contributions to open-source projects, conference talks, or published technical writing.
What we bring
Attracting and retaining top-tier talent is a priority. We are proud of the culture we’ve built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best.
- A hybrid work schedule for most positions to promote strong, in-person collaboration.
- Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
- Competitive pay and equity for eligible positions.
- Premium healthcare, dental, and vision insurance plans (HMO and PPO).
- 401k savings plan with a 4% match and immediate vesting.
- 16 week paid parental leave after one year of employment.
- Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee.
- Company perks program (includes discounts on pet insurance, fitness, cell phone plans, and travel, etc.).
- Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.).
- One month work from anywhere policy (with the exception of a few countries).
Total compensation includes a competitive benefits package, along with equity in the form of Stock Options (ISOs) for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Ready to apply?
Apply to Altruist
Senior Software Engineer, Cloud Infrastructure
Share this job
About Altruist
Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients.
We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you!
But first, our values
Kindness - Kindness doesn’t just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully.
Brilliance - Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one.
Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles.
This role follows a hybrid schedule, with three days per week onsite in our San Francisco FiDi office.
The opportunity
We're hiring a Senior Cloud Infrastructure Engineer to join the Cloud Infrastructure & Platform (CIN) team at Altruist. This is a high-impact, senior individual contributor role responsible for architecting, building, and operating the AWS-based infrastructure that powers our broker-dealer and clearing platform. You will own critical infrastructure domains end-to-end and drive technical decisions that affect the reliability, security, and scalability of systems handling real financial transactions.
As the industry evolves rapidly with generative AI and agentic workflows, we need engineers who combine deep AWS and Kubernetes expertise with the vision and initiative to define how AI/ML tools and patterns can transform infrastructure operations, developer productivity, and platform resilience. This role carries significant technical influence — you will shape infrastructure strategy, lead complex cross-functional initiatives, and raise the bar for engineering practices across the organization.
What sets this role apart
This is not a ticket-driven infrastructure role. At the Senior-to-Staff level, we expect you to:
- Own domains, not just tasks. You will be the technical authority for critical infrastructure areas (e.g., EKS platform, observability strategy, DR architecture, or AI infrastructure) and drive their roadmap.
- Define technical direction. Author architectural decision records (ADRs), propose infrastructure standards, and influence engineering-wide technology choices through design reviews and RFCs.
- Lead without a title. Drive cross-team initiatives, align stakeholders, unblock other engineers, and represent infrastructure perspectives in leadership discussions and planning.
- Multiply the team. Elevate the entire CIN team through mentorship, code reviews, knowledge sharing, and building reusable frameworks and golden paths that scale beyond your individual output.
- Bridge infrastructure and business. Translate complex technical trade-offs into clear recommendations for engineering leadership, product teams, and compliance stakeholders.
Your impact
- Cloud Infrastructure Architecture & Platform Engineering
- Architect, deploy, and operate production AWS infrastructure supporting high-availability financial services workloads (EKS, MSK, RDS/Aurora PostgreSQL, OpenSearch, ElastiCache, S3, CloudFront, and more).
- Own and evolve the Infrastructure as Code (IaC) strategy using Terraform — define module standards, enforce code review practices, and drive adoption of reusable patterns across teams.
- Lead Kubernetes (EKS) platform strategy, including cluster upgrades, node group architecture, Helm chart governance, service mesh evolution, and workload autoscaling policies.
- Design and drive CI/CD platform improvements (GitHub Actions, ArgoCD, or similar) to enable safe, fast, and self-service deployments for application engineering teams.
- Architect and validate disaster recovery (DR) strategies, including cross-region failover designs, backup automation, and leading DR simulation exercises.
- Lead infrastructure design reviews and architectural discussions; ensure solutions meet scalability, security, and compliance requirements before implementation.
- Reliability, Observability & Operational Excellence
- Define and drive the observability strategy across the platform (Datadog, Prometheus, Grafana, CloudWatch, OpenSearch) — including SLO/SLI frameworks, alerting standards, and distributed tracing.
- Serve as a senior on-call escalation point; lead root-cause analysis on critical production incidents and drive systemic improvements through blameless post-mortems.
- Own monthly resource saturation reviews and capacity planning processes; proactively identify scaling needs and present findings to engineering leadership.
- Drive cloud cost optimization strategy: FinOps practices, Reserved Instances/Savings Plans analysis, vendor spend governance, and accountability frameworks across teams.
- Security, Compliance & Networking
- Define and enforce security architecture standards across AWS environments: IAM policy governance, VPC design patterns, encryption strategies, secrets management (Vault, AWS Secrets Manager), and vulnerability remediation workflows.
- Partner with Security, Compliance, and Audit teams to ensure infrastructure meets FINRA, SEC, SOC 2, and other regulatory requirements — and proactively identify gaps before they become findings.
- Own networking architecture decisions including VPC topology, Transit Gateway strategy, VPN configurations, load balancer patterns (ALB/NLB), CDN optimization (Fastly/CloudFront), and DNS management.
- AI/ML Infrastructure & Developer Productivity
- Define the strategy for evaluating, integrating, and governing AI-powered developer tools (e.g., Cursor AI, GitHub Copilot, CodeRabbit) across the engineering organization — including usage analytics, cost optimization, security review, and policy frameworks.
- Architect infrastructure for AI/ML workloads: GPU-enabled compute, SageMaker endpoints, Bedrock integration, vector databases, and data pipeline orchestration.
- Lead the adoption of AI-driven automation for infrastructure operations — intelligent alerting, anomaly detection, auto-remediation, and AIOps patterns — moving from exploration to production integration.
- Build and champion internal platforms and golden paths that leverage generative AI to improve developer experience, reduce operational toil, and accelerate delivery velocity.
- Technical Leadership & Collaboration
- Act as a trusted technical advisor to the Director of Engineering and engineering leadership on infrastructure strategy, trade-offs, and investment priorities.
- Lead cross-functional initiatives spanning application engineering, data, security, and DevSecOps teams — driving alignment on complex multi-team infrastructure projects.
- Represent the CIN team in architecture review boards, incident response leadership, and engineering-wide planning sessions.
- Author and maintain comprehensive technical documentation, runbooks, ADRs, and operational procedures that serve as organizational knowledge assets.
- Mentor senior and mid-level engineers; conduct thorough design and code reviews; actively contribute to hiring and onboarding processes for the CIN team.
What you bring
- 5+ years of hands-on experience in cloud infrastructure engineering, with deep, production-proven expertise in AWS.
- Track record of owning and driving infrastructure initiatives end-to-end — from design and architecture through implementation, rollout, and operational excellence.
- Expert-level proficiency with Terraform, including module design, state management strategies, and establishing IaC standards for engineering teams.
- Extensive production experience operating Kubernetes (EKS strongly preferred) at scale — cluster lifecycle management, multi-tenancy patterns, Helm governance, and GitOps workflows.
- Strong Linux systems engineering skills and advanced scripting proficiency (Python, Bash, or Go).
- Deep expertise in CI/CD platforms (GitHub Actions, ArgoCD, Jenkins) with experience designing deployment strategies for multi-service architectures.
- Expert-level understanding of cloud networking (VPC architecture, Transit Gateway, peering, DNS, load balancing) and security (IAM, KMS, WAF, GuardDuty, Secrets Manager).
- Proven experience designing and operating observability platforms (Datadog, Prometheus/Grafana, CloudWatch, OpenSearch/ELK) at organizational scale.
- Strong experience with database infrastructure and data layer architecture (Aurora PostgreSQL, RDS, ElastiCache/Redis, OpenSearch, DynamoDB).
- Demonstrated ability to lead disaster recovery planning, execute DR simulations, and design HA architecture patterns for mission-critical systems.
- Excellent technical communication skills — ability to write clear ADRs, present to leadership, and translate infrastructure complexity for non-technical stakeholders.
- Proven track record of mentoring engineers and elevating team capabilities through knowledge sharing, design reviews, and tooling improvements.
Bonus points
- 7+ years of infrastructure or platform engineering experience, including 3+ years operating at a senior or staff level.
- Experience in financial services, fintech, broker-dealer, or other heavily regulated industries with FINRA/SEC compliance requirements.
- AWS certifications at the Professional or Specialty level: Solutions Architect Professional, DevOps Engineer Professional, Security Specialty, or Machine Learning Specialty.
- Experience with event streaming platforms at scale (Amazon MSK / Apache Kafka) including cluster operations, partition strategy, and consumer group management.
- Hands-on experience with API gateway management and platform design (Kong, AWS API Gateway).
- Demonstrated experience with AI/ML infrastructure: provisioning GPU compute, SageMaker/Bedrock integration, vector databases, MLOps pipelines, or AIOps automation in production.
- Experience defining and executing organizational rollout strategies for AI developer tools, including governance frameworks, usage analytics, and cost management.
- Proficiency with policy-as-code frameworks (OPA/Rego, Sentinel, Kyverno) for infrastructure governance and compliance automation.
- FinOps certification or demonstrated experience leading cloud cost optimization programs at scale.
- Experience authoring RFCs, ADRs, or technical strategy documents that influenced engineering-wide decisions.
- Contributions to open-source projects, conference talks, or published technical writing.
What we bring
Attracting and retaining top-tier talent is a priority. We are proud of the culture we’ve built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best.
- A hybrid work schedule for most positions to promote strong, in-person collaboration.
- Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
- Competitive pay and equity for eligible positions.
- Premium healthcare, dental, and vision insurance plans (HMO and PPO).
- 401k savings plan with a 4% match and immediate vesting.
- 16 week paid parental leave after one year of employment.
- Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee.
- Company perks program (includes discounts on pet insurance, fitness, cell phone plans, and travel, etc.).
- Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.).
- One month work from anywhere policy (with the exception of a few countries).
Total compensation includes a competitive benefits package, along with equity in the form of Stock Options (ISOs) for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Ready to apply?
Apply to Altruist
Who We Are
HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.
We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.
We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.
By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.
Join us as we reinvent work, so people everywhere can do their best work.
About The Role
As a Lead Software Engineer, Cloud Services, you will create scalable, reliable backend systems that support HP IQ's mission to transform the way people work. We value how we work as much as what we deliver. Our journey of continuous learning and evolution requires a flexible and resilient services platform that fosters innovation, experimentation, and adaptation. To enable this, we focus on designs and tools rooted in strong engineering principles like abstraction, composition, virtualization, automation, and iterative development cycles.
What You Might Do
- Lead technical strategy and execution across development and infrastructure, designing and implementing scalable, secure cloud-native systems while establishing architecture standards and engineering best practices.
- Own end-to-end delivery of platform and cloud services, including infrastructure buildout, application architecture, APIs, deployment pipelines, observability, reliability, and performance, while mentoring engineers and driving cross-functional alignment.
- Work with modern containerization and cloud technologies, including Kubernetes.
- Collaborate across engineering, design, product, and marketing teams to help shape our product vision and deliver exceptional user experiences.
- Lead the execution of projects across full-stack engineering teams (device, web, backend, infrastructure) with clear communication and coordination.
Essential Qualifications
- 10+ years of professional software development experience.
- Experience architecting and implementing distributed and scalable systems.
- Strong experience with Java and Spring Boot–based application development.
- Knowledge of private cloud offerings, focusing on infrastructure layers such as VMs, VPCs, storage, and IAM.
- Experience deploying services on containerized systems, such as Kubernetes, Docker, Nomad.
- In-depth knowledge of observability and related tools.
- Demonstrated ability to navigate ambiguous environments and distill requirements into actionable solutions.
- Strong collaboration and communication skills to work effectively across diverse teams.
Preferred Qualifications
- Proficiency in building applications using frameworks like Spring Boot or similar technologies.
- Experience designing robust and scalable database schemas using databases such as Postgres or DynamoDB.
- Knowledge of disaster recovery strategies and multi-region development.
- Experience designing interfaces for diverse consumers, including factory lines, mobile devices, and web applications.
- Familiarity with software security and systems that manage sensitive user data.
Salary Range: $179,000 - $252,000
Compensation & Benefits (Full-Time Employees)
The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.
At HP IQ, we offer a competitive and comprehensive benefits package, including:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave (US benefits overview)
Why HP IQ?
HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work.
- Innovative Work
Help shape the future of intelligent computing and workplace transformation. - Autonomy and Agility
Work with the speed and focus of a startup, backed by HP’s scale. - Meaningful Impact
Build AI-powered solutions that help people and organisations thrive. - Flexible Work Environment
Freedom and flexibility to do your best work. - Forward-Thinking Culture
We learn fast, stay future-focused, and imagine what comes next—together.
Equal Opportunity Employer (EEO) Statement
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement
Ready to apply?
Apply to HP IQ
About the Role
Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.
What You’ll Accomplish
- Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
- Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
- Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
- Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
- Continuously improve system reliability, performance, and engineering efficiency
- Contribute to technical direction and best practices across the ML engineering team
- Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
- Thrive in a high-impact, fast-paced, late-stage startup environment
Your Expertise
- 6+ years of professional experience building production machine-learning software systems
- Proven experience owning ML systems long enough to see the downstream impact of design decisions
- Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
- Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
- Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
- Experience collaborating with cross-functional teams to deliver ML-powered features
- Strong communication skills and a high sense of ownership
What We Use
- Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm
- Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis
- Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright
- ML & Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
-
The US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-EF1
By applying for this position, your data will be processed as per Attentive's Privacy Policy.
Ready to apply?
Apply to Attentive
About the Role
Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.
What You’ll Accomplish
- Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
- Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
- Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
- Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
- Continuously improve system reliability, performance, and engineering efficiency
- Contribute to technical direction and best practices across the ML engineering team
- Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
- Thrive in a high-impact, fast-paced, late-stage startup environment
Your Expertise
- 6+ years of professional experience building production machine-learning software systems
- Proven experience owning ML systems long enough to see the downstream impact of design decisions
- Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
- Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
- Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
- Experience collaborating with cross-functional teams to deliver ML-powered features
- Strong communication skills and a high sense of ownership
What We Use
- Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm
- Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis
- Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright
- ML & Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
-
The US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-EF1
By applying for this position, your data will be processed as per Attentive's Privacy Policy.
Ready to apply?
Apply to Attentive
Shape the Future of AI
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Labelbox
We're the only company offering three integrated solutions for frontier AI development:
- Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
- Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
- Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
- High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
- Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
- Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
- Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
- Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Role Overview
We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end—from user-facing experiences and APIs to backend services, data models, and infrastructure.
You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.
Your Impact
- Own End-to-End Product Features
Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure. - Enable Human-in-the-Loop AI Training
Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development. - Support RLHF and Preference Data Workflows
Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning. - Leverage LLMs in the Review Loop
Build systems that use LLMs to assist human reviewers—such as automated checks, critiques, ranking suggestions, or quality signals—while maintaining human oversight. - Advance AI Evaluation
Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video). - Create Intuitive, Reviewer-Focused Interfaces
Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows. - Architect Scalable Data & Service Layers
Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability. - Solve Ambiguous, Real-World Problems
Translate loosely defined operational and research needs into practical, scalable, end-to-end systems. - Ensure System Reliability
Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack. - Elevate the Team
Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.
What You Bring
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 2+ years of experience in a software or machine learning engineering role.
- A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.
- Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.
- Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).
- Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.
- Excellent communication and collaboration skills.
- High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).
- Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.A focus on writing clean, well-tested code and delivering your work on time.
Bonus Points
- Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.
- Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).
- Previous experience with search engines (e.g., ElasticSearch).
- Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.
Engineering at Labelbox
At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.
Our Technology Stack
Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:
- Frontend: React.js with Redux, TypeScript
- Backend: Node.js, TypeScript, Python, some Java & Kotlin
- APIs: GraphQL
- Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
- Databases: MySQL, Spanner, PostgreSQL
- Queueing / Streaming: Kafka, PubSub
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Life at Labelbox
- Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
- Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
- Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
- Growth: Career advancement opportunities directly tied to your impact
- Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
Ready to apply?
Apply to Labelbox
Cloud security is becoming increasingly important as organizations are accelerating their cloud migration. Britive is at the forefront of the emerging cloud security industry with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across cloud infrastructures, platforms & SaaS.
Our patent-pending technology is deployed at several large and Fortune 500 customers and we have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs.
About You
You are a passionate Software Engineer who wants to develop and scale our multi-tenant SaaS applications on the AWS platform. You have a strong software engineering background and advanced knowledge of the AWS platform, tools and services. From day one, you must be able to hit the ground running and bring all your experience to the team to contribute in the building of a great product. Most importantly, you have a positive “can do” attitude and a passion for delivering technical solutions in a fast-paced startup environment. This position will report to the Engineering Manager.
Your Impact
Key Responsibilities:
- Responsible for design and development of a large-scale application stack running on AWS.
- Collaborate with product management and engineering teams to design and integrate software, conduct code reviews, and troubleshoot product issues.
- Perform proof of concepts to identify best design options including usage of AWS services.
- Research integration options for various SaaS/IaaS technologies, including APIs for user administration and incorporate this research in our application integration.
What will you need?
Required Skills:
- Minimum 7 years of relevant work experience in similar roles.
- In-depth knowledge of Spring, Spring Boot, Java, REST Web Services, SQL/NoSQL databases, ELK stack, microservices architecture, container/Docker technology, CI/CD principles.
- Hands-on experience developing and delivering scalable multi-tenant SaaS applications on AWS platform.
- In-depth knowledge of AWS platform, tools and services, specifically AWS networking and security, Route53, API Gateway, ECS/Fargate, RDS, DynamoDB.
- Outstanding collaboration and communication skills.
- Ability to effectively collaborate with distributed teams.
- Understand and practice agile development methodology.
- Prior experience with security product development.
Nice to Have:
- AWS Certified Developer certification is highly desired.
- Prior experience with Big Data technologies.
Perks + Benefits:
- Work from anywhere in the US! We are fully remote (US only, other areas are subject to review).
- Competitive compensation and meaningful equity
- Medical, dental, and vision insurance
- Paid parental leave benefits
- 401k (U.S.)
- Flexible + Unlimited PTO (U.S.)
- Career development opportunities and paths
- Home office and connectivity stipends
- Team socials + Offsites
Ready to apply?
Apply to Britive
Cloud security is becoming increasingly important as organizations are accelerating their cloud migration. Britive is at the forefront of the emerging cloud security industry with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across cloud infrastructures, platforms & SaaS.
Our patent-pending technology is deployed at several large and Fortune 500 customers and we have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs.
About You
You are a passionate Senior Software Engineer who wants to develop and scale our multi-tenant SaaS applications on the AWS platform. You have a strong software engineering background and advanced knowledge of the AWS platform, tools and services. From day one, you must be able to hit the ground running and bring all your experience to the team to contribute in the building of a great product. Most importantly, you have a positive “can do” attitude and a passion for delivering technical solutions in a fast-paced startup environment. This position will report to the Engineering Manager.
Your Impact
Key Responsibilities:
- Responsible for design and development of a large-scale application stack running on AWS.
- Collaborate with product management and engineering teams to design and integrate software, conduct code reviews, and troubleshoot product issues.
- Perform proof of concepts to identify best design options including usage of AWS services.
- Research integration options for various SaaS/IaaS technologies, including APIs for user administration and incorporate this research in our application integration.
What will you need?
Required Skills:
- Minimum 7 years of relevant work experience in similar roles.
- In-depth knowledge of Spring, Spring Boot, Java, REST Web Services, SQL/NoSQL databases, ELK stack, microservices architecture, container/Docker technology, CI/CD principles.
- Hands-on experience developing and delivering scalable multi-tenant SaaS applications on AWS platform.
- In-depth knowledge of AWS platform, tools and services, specifically AWS networking and security, Route53, API Gateway, ECS/Fargate, RDS, DynamoDB.
- Outstanding collaboration and communication skills.
- Ability to effectively collaborate with distributed teams.
- Understand and practice agile development methodology.
- Prior experience with security product development.
Nice to Have:
- AWS Certified Developer certification is highly desired.
- Prior experience with Big Data technologies.
Perks + Benefits:
- Work from anywhere in the US! We are fully remote (US only, other areas are subject to review).
- Competitive compensation and meaningful equity
- Medical, dental, and vision insurance
- Paid parental leave benefits
- 401k (U.S.)
- Flexible + Unlimited PTO (U.S.)
- Career development opportunities and paths
- Home office and connectivity stipends
- Team socials + Offsites
Ready to apply?
Apply to Britive