The Role

We are seeking a Senior Staff Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members.  Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.  

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key responsibilities

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
• Shape the technical architecture across SoFi’s crypto stack — wallets, custody, trading, and beyond.
• Drive new ideas and technical strategies that push our crypto offerings forward.
• Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
• Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
• Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
• Mentor engineers and contribute to a culture of technical growth and curiosity.
• Lead discussions, reviews, and decisions across teams and with senior technical leadership.
• Make smart, pragmatic decisions that balance speed and quality.
• Stay curious — constantly learning new tools, protocols, and patterns in the evolving crypto space.
• Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.

What you'll need

• 8+ years programming experience, with significant experience in modern day languages and familiarity with AI tools.
• Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases and mobile/web applications
• Expertise with Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
• Deep understanding of code release, deployment orchestration / rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
• Experience with public cloud infrastructure
• Excellent verbal and written communication skills and working with stakeholders across disciplines
• Understanding of blockchain fundamentals and distributed ledger technologies
• Familiarity with digital assets across major chains (Bitcoin, Etherium, …)
• Hands-on experience with smart contracts is a plus
• Familiarity with custody, settlement, and clearing of crypto transactions
• Experience with security and best practices for wallet management
• Exposure to crypto trading platforms, market data, and DeFi protocols
• Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)
• Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions
• Prior work in or collaboration with crypto-native companies or fintechs
• Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services

Partner Sales Executive (U.S.

Preferred Locations:

San Francisco, CA
Seattle, WA

Overview

We are seeking a highly driven Partner Sales Executive to lead partner-driven pipeline development and execution across the U.S. market. This role is focused on activating strategic partners, generating high-quality opportunities, and accelerating deal momentum within enterprise accounts.

This is not a traditional quota-carrying Account Executive role. Instead, the Partner Sales Executive operates as a critical link between partners and the sales organization, ensuring that partner-led opportunities are well-qualified, properly positioned, and effectively executed.

Key Responsibilities

Partner-Led Pipeline Development

• Develop and manage relationships with Global System Integrators (GSIs), System Integrators (SIs), and strategic partners
• Drive pipeline through partner-led engagement models
• Ensure strong partner alignment and commitment on all opportunities

Opportunity Qualification and Execution

• Shape and qualify opportunities in collaboration with partners before transitioning to Account Executives
• Ensure all opportunities meet Sales Accepted Lead (SAL) criteria, including partner sponsorship and customer commitment
• Maintain a high standard for opportunity quality and conversion potential

Deal Acceleration

• Support complex enterprise opportunities by developing account plans, solution positioning, and supporting materials
• Coordinate across partners, Account Executives, and Sales Engineering teams to maintain deal momentum
• Proactively identify and address blockers in the sales process

Expansion Strategy

• Focus on expanding existing customer relationships through partner engagement
• Identify new use cases and opportunities within current accounts
• Align partner delivery capabilities with customer needs

Success Metrics

• Delivery of 4+ high-quality Sales Accepted Leads (SALs) per month
• Strong SAL to Closed Won conversion rates
• Consistent partner engagement and opportunity progression
• Timely delivery of solution artifacts and account plans (within 48–72 hours)
• Maintenance of a healthy pipeline aligned with regional targets

Qualifications

• 5+ years of experience working within the U.S. partner ecosystem
• Proven experience collaborating with GSIs, SIs, or strategic partners
• Strong understanding of enterprise sales processes and multi-stakeholder deal cycles
• Ability to build structured account plans and drive execution across multiple teams
• Excellent communication, coordination, and relationship management skills

Preferred Experience

• Experience in data infrastructure, databases, or enterprise software environments
• Familiarity with partner-led sales motions and co-selling models
• Background in managing or supporting complex, multi-party enterprise deals

What Sets This Role Apart

• Focus on partner orchestration rather than direct sales ownership
• Emphasis on quality and conversion over pipeline volume
• High visibility role with direct impact on revenue generation
• Opportunity to shape and scale partner-led go-to-market strategy in the U.S.

About the Opportunity

This role offers the chance to work at the center of partner and sales execution, helping drive meaningful growth in a fast-paced, high-impact environment. The ideal candidate thrives in a collaborative setting and is motivated by building scalable, partner-driven pipeline strategies.

We feel strongly about equal pay for equal work, and transparency in compensation is one way to help achieve that. The cash compensation for this role is market-competitive, with an OTE of $255,000-$300,000 made up of base and uncapped commission. Our packages also include equity and benefits including competitive health plans, retirement plans, and unlimited paid time off (PTO). The pay range for this position is a general guideline only and not a guarantee of compensation or salary. The actual pay will vary based on factors including experience, qualifications, and skill level.

#LI-Remote

Due to the Proclamation, “Restriction on Entry of Certain Nonimmigrant Workers”, which went into effect on September 21, 2025, at this time we are no longer able to sponsor new H-1B visa petitions filed after September 21, 2025 for new hires. We are still able to consider candidates who require H-1B extensions, changes of employer, or other types of work authorization.

ABOUT THE TEAM

The Production Engineering team is a newly formed organization within Anduril's Software Platform, dedicated to ensuring the reliability, performance, and scalability of mission-critical systems that directly support our warfighters in the field. We solve complex reliability challenges at massive scale, ensuring that critical components of Lattice—Anduril's autonomous command and control platform—operates flawlessly in the most demanding operational environments.

This is a foundational role and you will be among the first hires building this team from the ground up. You'll have the unique opportunity to shape the technical direction, establish best practices, and define what production engineering excellence means at Anduril. Our team operates at the intersection of software engineering and systems reliability, building the infrastructure, tooling, and processes that keep our systems operational 24/7/365.

ABOUT THE ROLE

We are seeking an experienced Senior Site Reliability Engineer who is passionate about building resilient, highly available systems that scale to meet the demands of the core systems powering Lattice. You will work closely with platform engineering teams, product developers, and field operations to proactively identify reliability risks, implement defensive strategies, and continuously improve the operational excellence of our software platform. If you thrive on solving hard problems at scale and want your work to have direct impact on national security, this is the role for you.

WHAT YOU’LL DO

• Design and implement comprehensive monitoring, observability, and alerting systems to ensure early detection of reliability issues across the Lattice platform
• Drive incident response and conduct blameless postmortems to identify systemic improvements and prevent recurrence of production issues
• Build and maintain infrastructure automation using tools like Terraform, Kubernetes operators, and custom tooling to manage large-scale distributed systems
• Establish and track Service Level Objectives (SLOs) and Error Budgets to balance feature velocity with system reliability
• Partner with software engineering teams to improve system architecture for reliability, implementing patterns like circuit breakers, graceful degradation, and chaos engineering
• Develop capacity planning models and performance testing frameworks to ensure systems can handle growth and peak operational demands
• Create runbooks, documentation, and training materials to enable teams to operate production systems effectively
• Lead cross-functional efforts to improve deployment safety through progressive rollouts, automated testing, and rollback capabilities
• Implement security best practices and compliance controls for production environments handling sensitive defense data
• Build tooling and automation to reduce toil and improve operational efficiency for the engineering organization
• Participate in on-call rotations and serve as an escalation point for critical production incidents

REQUIRED QUALIFICATIONS

• 7+ years of engineering experience with at least 3+ years focused on SRE, production operations, or infrastructure engineering
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Deep expertise with Kubernetes in production environments, including operational challenges at scale (100+ nodes)
• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling
• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices
• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack
• Track record of improving system reliability through architectural changes, not just operational band-aids
• Strong incident management and communication skills, with experience leading responses to critical outages
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences
• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems
• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks
• Experience with service mesh technologies (Istio, Linkerd) and advanced traffic management patterns
• Background in database operations and optimization (PostgreSQL, Cassandra, or similar at scale)
• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)
• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security
• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)
• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders
• Active Secret or higher security clearance

ABOUT THE TEAM

The Production Engineering team is a newly formed organization within Anduril's Software Platform, dedicated to ensuring the reliability, performance, and scalability of mission-critical systems that directly support our warfighters in the field. We solve complex reliability challenges at massive scale, ensuring that critical components of Lattice—Anduril's autonomous command and control platform—operates flawlessly in the most demanding operational environments.

This is a foundational role and you will be among the first hires building this team from the ground up. You'll have the unique opportunity to shape the technical direction, establish best practices, and define what production engineering excellence means at Anduril. Our team operates at the intersection of software engineering and systems reliability, building the infrastructure, tooling, and processes that keep our systems operational 24/7/365.

ABOUT THE ROLE

We are seeking an experienced Senior Site Reliability Engineer who is passionate about building resilient, highly available systems that scale to meet the demands of the core systems powering Lattice. You will work closely with platform engineering teams, product developers, and field operations to proactively identify reliability risks, implement defensive strategies, and continuously improve the operational excellence of our software platform. If you thrive on solving hard problems at scale and want your work to have direct impact on national security, this is the role for you.

WHAT YOU’LL DO

• Design and implement comprehensive monitoring, observability, and alerting systems to ensure early detection of reliability issues across the Lattice platform
• Drive incident response and conduct blameless postmortems to identify systemic improvements and prevent recurrence of production issues
• Build and maintain infrastructure automation using tools like Terraform, Kubernetes operators, and custom tooling to manage large-scale distributed systems
• Establish and track Service Level Objectives (SLOs) and Error Budgets to balance feature velocity with system reliability
• Partner with software engineering teams to improve system architecture for reliability, implementing patterns like circuit breakers, graceful degradation, and chaos engineering
• Develop capacity planning models and performance testing frameworks to ensure systems can handle growth and peak operational demands
• Create runbooks, documentation, and training materials to enable teams to operate production systems effectively
• Lead cross-functional efforts to improve deployment safety through progressive rollouts, automated testing, and rollback capabilities
• Implement security best practices and compliance controls for production environments handling sensitive defense data
• Build tooling and automation to reduce toil and improve operational efficiency for the engineering organization
• Participate in on-call rotations and serve as an escalation point for critical production incidents

REQUIRED QUALIFICATIONS

• 7+ years of engineering experience with at least 3+ years focused on SRE, production operations, or infrastructure engineering
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Deep expertise with Kubernetes in production environments, including operational challenges at scale (100+ nodes)
• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling
• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices
• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack
• Track record of improving system reliability through architectural changes, not just operational band-aids
• Strong incident management and communication skills, with experience leading responses to critical outages
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences
• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems
• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks
• Experience with service mesh technologies (Istio, Linkerd) and advanced traffic management patterns
• Background in database operations and optimization (PostgreSQL, Cassandra, or similar at scale)
• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)
• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security
• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)
• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders
• Active Secret or higher security clearance

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 1pm - 9pm PST

*This is a remote role

JR: 2026-7646

#LI-Remote

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Build and maintain internal platform services, Kubernetes operators, and observability tooling that support enterprise reliability at scale
• Design and deliver developer experience tooling and AI-leveraged workflows through Claude Code plugins and MCP servers
• Requires strong knowledge of Kubernetes, Java (Spring Boot), observability, event-driven architecture, and Python; experience with Clean Architecture, cloud-native deployment patterns, and building internal tools that improve developer productivity across engineering organizations.
• Establish service level objectives (SLOs), error budgets, and service level indicators (SLIs) as success criteria that our systems and processes consistently meet or exceed these targets
• Build recoverability into our services and systems, including disaster recovery (DR), backups/recovery, and incorporation of multi-AZ multi-regionality into cloud constructs
• Establish clustering and load balancing techniques for high availability and scalability in containerized cloud-native environments
• Build observability systems and services (monitoring, telemetry, tracing) for reuse in our platform architecture, creating alerting for fault identification and building dashboards for metrics
• Operate and continuously improve our services’ reliability, scalability, performance, security, and uptime
• Learn constantly, including in available cloud-managed services (PaaS/SaaS/IaaS), libraries, frameworks, and platforms (commercial and open-source)
• Participate in the company’s application of Agile, Lean, and principles of fast flow to engineering department efficiency and productivity and own certain tasks in process automation to achieve fluidity
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 5+ years of experience coding in an object-oriented language, such as Java, Python, Go, or Kotlin
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a
• 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
• Experience with distributed, scalable microservices and event-driven architectures
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

WHAT YOU WILL DO

onX is seeking a Senior Backend Engineer with a passion for building scalable platform Identity and Access Management (IAM) systems. Your focus will be on designing, developing, and scaling secure authentication, authorization, and user management services that are foundational to our platform. You will play a key role in evolving our IAM platform and delivering seamless cross-platform authentication across iOS, Android, and web.

You will be part of our Core Services team that enables product teams to build faster and more securely by providing core infrastructure, services, and patterns. This is a great opportunity to help shape the future of how users securely access and interact with onX's suite of outdoor technology products.

This position reports to the Director of Engineering, Core Services.

TECHNOLOGIES WE USE

Our backend engineers primarily work in Go running in Kubernetes on Google Cloud Platform. The IAM team works extensively with identity platforms (Ory Kratos, Hydra, Oathkeeper), distributed databases (CockroachDB), and OAuth 2.0/session management patterns. Understanding mobile authentication tradeoffs (WebView vs. browser-based auth, token-based patterns) is particularly relevant for this role.

As an onX Senior Backend Engineer, your day to day responsibilities would look like:

(Essential Job Duties)

• Build scalable, secure IAM services that enable new features and products across the onX suite of apps
• Design and implement backend systems focusing on observability, fault-tolerance, security, and high performance
• Drive architectural decisions related to Identity and Access Management, ensuring alignment with and advancing our broader platform strategy
• Define and implement SLIs/SLOs for IAM services; drive reliability engineering practices including incident response and performance optimization
• Write thorough unit, integration, and acceptance tests to ensure high service quality and maintainability
• Document APIs, service architectures, and technical decisions for internal stakeholders and external partners as needed
• Collaborate closely with fellow engineers, product managers, and other stakeholders through design reviews, paired programming, and cross-functional planning sessions
• Leverage and extend existing onX services and platform patterns to drive consistency and reduce duplication
• Proactively improve system monitoring, alerting, diagnostics, and operational readiness of IAM-related services
• Participate in an on-call rotation to ensure backend services remain highly available and reliable
• Mentor and share knowledge with engineers on your team
• Lead by example and embody onX's company values, fostering a culture of technical excellence, ownership, and collaboration
•  

LOCATION

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub". 

• Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option.
• Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure.  
  • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 
• Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. 
  • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.

WHAT YOU’LL BRING

• B.S., M.S., or equivalent experience in computer science or a related field
• Eight or more years of professional software development experience, with API development as a primary focus for at least three of those years
• Strong Go/Golang backend development experience with RESTful API design
• Experience building and debugging distributed, scalable, highly available microservices architecture
• Solid understanding of identity systems: OAuth 2.0, session management, bearer token authentication, SSO integrations
• Experience with distributed databases (CockroachDB or similar PostgreSQL-compatible distributed systems) and relational databases (PostgreSQL, MySQL)
• Excellence in designing and developing modern APIs and scalable systems that ensure reliability and extensibility
• Familiarity with Docker, Kubernetes, and infrastructure-as-code technologies such as Terraform
• Strong computer science foundation
• Security-first mindset -- you think about threat models, secure defaults, and defense in depth as part of your design process
• You evaluate technologies and solutions based on merit, stability, performance, and the ability to debug
• Ability to write maintainable, well-tested code that's easy for others to understand
• A strong sense of ownership of your work
• Advocacy for customers -- both internal colleagues and end users -- and their experience
• Permanent US work authorization is a condition of employment with onX

Preferred Qualifications

Though not required, we would be thrilled to consider candidates with any of the following:

• Experience with identity platforms such as Ory Kratos, Auth0, Cognito, or similar
• Experience with the Ory Stack, especially Hydra, Kratos, and Oathkeeper
• Experience with Authzed SpiceDB, Google Zanzibar, or AWS Cedar for fine-grained authorization
• Understanding of mobile authentication patterns: WebView vs. browser auth tradeoffs, token-based flows across iOS/Android/web
• Reliability engineering experience: SLI/SLO implementation, incident response, performance optimization
• SOC2 compliance experience or familiarity with security audit frameworks
• Experience with Elixir or the Phoenix Framework
• Familiarity with Google Cloud Platform
• Experience working with a distributed team

COMPENSATION

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $146,000 to $182,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE ARE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan 
• Parental leave plan of 5 or 13 weeks fully paid
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PS@onxmaps.com. 

Position open until filled. 

#LI-Remote

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.

What you'll do

• Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
• Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
• Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
• Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
• Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
• Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

• 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
• Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
• Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
• Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
• A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
• Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

• Experience with vector databases, embeddings, or semantic search is a plus

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

The Allen Institute for AI (Ai2) is hiring a Senior Data Engineer to build the data infrastructure behind AI research agents that explore and reason over scholarly literature. You'll work on the Semantic Scholar corpus, expanding what it covers and improving the quality of what’s already there, and create the APIs and tooling that these agents rely on at scale.

This role sits at the intersection of data engineering and applied ML. You'll own pipelines, design schemas, and ship production services, but you'll also apply practical ML techniques (entity resolution, text classification, embedding-based similarity) to improve data quality and enrich metadata at scale, directly shaping what the agents can do. We're looking for a strong engineer who is comfortable across that full range.

Who We Are: 

The Agentic Applications team builds open, production-grade systems that power scientific discovery and large-scale AI research. We focus on creating high-quality structured datasets, integrating diverse content types, and enabling downstream applications across search, citation analysis, and model training. The team combines strong engineering practices with close collaboration across Ai2’s product and research orgs to deliver tools and infrastructure used by millions of researchers and developers worldwide.

Your Next Challenge:

• Improve the coverage and quality of the Semantic Scholar corpus across academic papers, patents, and new domain-specific datasets
• Build and maintain scalable data pipelines for corpus integration, citation resolution, and metadata enrichment
• Develop and deploy ML models for entity disambiguation, author linking, and topic classification
• Design and extend APIs that expose structured scholarly data to academic researchers and AI agent workflows
• Contribute to dashboards and tools for evaluating data quality and model precision
• Collaborate across engineering and research teams to ensure maintainability, test coverage, and robust deployment

What You’ll Need:

Required:

• Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education.
• Strong Python engineering skills, especially for building and maintaining data pipelines
• Experience with SQL and schema design in production settings (PostgreSQL preferred)
• Familiarity with ML workflows (training classifiers, tuning models, deploying for inference), particularly for large-scale or ambiguous structured datasets
• Comfortable working with structured data formats (XML/JSON/Parquet) and writing ETL code
• Experience with workflow orchestration tools (Airflow or similar) and cloud infrastructure (AWS, S3, Docker)
• Strong communicator and a strong sense of ownership for results

Preferred:

• Experience with author disambiguation, entity resolution, or record linkage problems
• Experience applying vector-based similarity or topic modeling techniques to real-world corpora at scale
• Exposure to citation networks or scholarly data systems (e.g., arXiv, OpenAlex, USPTO)
• Familiarity with building APIs or data services consumed by automated or agent-based workflows

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:  

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

The Role

We are seeking a Senior Staff Engineer to join our team.  SoFi Invest is SoFi’s investment platform that includes our market-leading robo-advisor, and online brokerage (stock, ETF, and mutual funds trading) products.

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key responsibilities

• Help shape the technical architecture & design of the Sofi Invest core systems
• Lead best practices for development, testing and releasing the SoFi Invest component while contributing to the shared components across SoFi 
• Mentor other engineers, support the technical culture, and help grow the team
• Generate ideas for new initiatives and technologies
• Shape the architecture of foundational systems including but not limited to market data, ledger, search  
• Proven experience designing and building highly scalable distributed systems.
• Strong knowledge of CI/CD pipelines, resource optimization, and network protocols.
• Excellent cross-functional communication and leadership skills.

Requirements

• Bachelor’s or Master’s Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience
• 10+ years related experience or demonstrated equivalent
• Expertise in modern back-end frameworks (Spring boot preferred), build tooling, and testing frameworks
• Experience in scaling and designing highly available, mission critical systems
• 8+ years programming experience, ideally on a modern stack
• Our core stack is React / Java / Play / Spring / PostgreSQL, but you don't have to be an expert in any of these. 6+ years Java, Kotlin or Scala programming experience and an understanding of relational databases and ORMs suffices
• Willingness to roll up your sleeves, collaborate with others and get stuff done
• Strong sense of responsibility; driving a project from inception to completion
• Affinity for solving hard problems and shipping impactful features
• Experience working in a collaborative coding environment (and git specifically), refining designs together, working through code reviews and managing pull requests
• Bonus
• Worked with trading and/or exchange systems
• Experience building ledger and transactional systems
• Experience with workflow platforms such as Temporal.io or AWS Step Functions
• Trading APIs (either crypto or securities) and FIX protocol

We are seeking a Senior Software Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members.  Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.  

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

What You'll Do:

• Lead the development and testing of system components/services, code and design reviews
• Participate in shaping the technical architecture of the product
• Help translate user stories into technical solutions
• Deliver highly available and scalable services in a production environment
• Mentor other engineers, support the technical culture, and help grow the team
• Generate ideas for new initiatives and technologies
• Communicate with project leads, product managers and other software developers

What You'll Need:

• Bachelor’s Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience
• 5+ years programming experience, ideally on a modern stack
• Our core stack is Kotlin / Spring / Elixir / PostgreSQL, but you don't have to be an expert in any of these. 4+ years programming experience in similar technologies and an understanding of relational databases and ORMs suffices
• Willingness to roll up your sleeves, collaborate with others and get stuff done
• Strong sense of responsibility; driving a project from inception to completion
• Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture
• Experience working in a collaborative coding environment (and git specifically), refining designs together, writing tests, working through code reviews and managing pull requests

Nice to Haves:

• Understanding of blockchain fundamentals and distributed ledger technologies
• Hands-on experience working with digital assets (e.g., Bitcoin, Ethereum, stablecoins)
• Familiarity with custody, settlement, and clearing of crypto transactions
• Knowledge of crypto-specific regulatory environments (e.g., SEC, CFTC, MiCA, etc.)
• Exposure to crypto trading platforms, market data, and DeFi protocols
• Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Bitgo, Zero Hash, Anchorage)
• Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions
• Prior work in or collaboration with crypto-native companies or fintechs
• Comfort with cryptographic concepts such as wallets, keys, and signatures
• Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services

The Role:

We are looking for an eager Senior Staff Software Engineer excited to dive in and help build and support the cutting edge technology systems of the Lending Finance Platform team, which support our Capital Markets and Accounting business functions. SoFi is trying to push the boundaries of lending and provide next-level products for our members and investors, and we are seeking anyone with big ideas and a drive to help achieve our goals.

We value forward-thinking engineers who are hands-on, take ownership, and drive delivery. You’ll be surrounded by a talented team where mentorship, knowledge-sharing, and collaboration are central to our culture. We’re seeking someone who is not only an expert in full-stack development but also understands how to leverage data for impactful reporting and aggregation across the platform.

As a senior staff software engineer, you will be part of a team that is empowered to make technical decisions that have direct impact on the success of the business. You will be in the middle of it all – working with partner teams in Lending Engineering and Data Science, implementing new functionality, architecting our system, squashing bugs, maintaining the health of our code, delivering scalable and highly-available services, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. 

At SoFi, we pride ourselves on the collaboration between Product, Design, and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, testing, deploying, monitoring, supporting, and continual improvements and evolution of mission-critical systems. You’ll face and solve a wide range of challenges: technical, product, and operational, shaping your personal growth and career along the way, as well as using your areas of expertise to grow the capabilities of the rest of the team.

What You’ll Do:

Hands-on Engineering/ Technical Leadership & Strategy

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Develop APIs, services, and platform infrastructure that support loan servicing, payment schedules, and operational workflows.
• Drive hands-on delivery of critical projects like schedule generation, batching frameworks, and testing infrastructure.
• Architect platform-level services and improve systems for resilience, observability, and extensibility.
• Make high-leverage engineering decisions that balance speed, quality, and maintainability.

Raise the bar on engineering quality through hands-on contributions, design reviews, and technical mentorship.

Team Collaboration & Mentorship

• Partner with product, design, operations, and other engineering teams to build solutions that deliver business value and customer impact.
• Contribute to cross-functional platform efforts (e.g., onboarding, credit bureau reporting, collections APIs).
• Drive alignment on technical strategy and execution, with strong written and verbal communication.

What You’ll Need:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years experience as a software engineer, designing and implementing complex software solutions.
• Experience with React / Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
• Deep understanding of software architecture, design patterns, and best practices for building scalable and robust applications.
• Proven experience in leading and mentoring engineering teams, promoting technical excellence and collaboration.
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to diverse audiences.
• Experience with Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform and CI/CD

Nice to have:

• Experience in financial services or fintech (loan servicing, payments, interest calculations, credit reporting, etc.)
• Experience with Temporal, Kubernetes, Docker, Terraform, and CI/CD tooling.
• Exposure to data analytics or machine learning platforms.
• Familiarity with front-end technologies such as React, Scala, or Flutter.

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

• Design and build new features and enhancements for our global ticketing platforms.
• Optimize for performance in scaling out our applications to handle massive spikes in traffic
• Create services that power the core of our infrastructure, implementing APIs and features for our mission critical back-end products.
• Optimize throughput and dynamically scale our distributed systems to handle traffic and requests in varying from the tens to hundreds of thousands.
• Design and develop scalable, public-facing APIs that enable scalable and robust integration with partner platforms.
• Work closely with other engineers, architects, business analysts, and product managers to create innovative solutions that continue to push the boundaries of our business.
• Participate in design and code reviews to ensure best practices and high-quality code.
• Develop consistent, well tested code on Open Source Programming Languages and Frameworks.
• Work on implementing and developing the latest security measures to fight against fraud and malicious bot attacks

• Have a direct impact on our applications that can scale and handle high demand, as well as complex enterprise systems that meet our global needs.
• Extraordinary People – we’re not kidding!
• Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Opportunities for learning and leveling up through training and education reimbursement.

More about AXS

ESA is hiring a GIS Analyst/Developer to join our Pacific Northwest Technology Services team based out of our Seattle, WA, and/or Portland & Bend, OR offices. The ideal candidate will support multidisciplinary project teams across ESA's Pacific Northwest offices. This is a hybrid role with 3 days per week in either our Portland or Seattle offices, with availability expected during Pacific Time business hours.

Who you are

• You have 2 to 7 years of professional GIS experience and a degree in GIS, geography, computer science, environmental science, or a related field.
• You are strong across the fundamentals: coordinate systems and projections, spatial data management, spatial analysis, cartographic design, and field data collection. You also write reusable Python, manage code in Git, work with APIs and databases, and use AI coding assistants.
• You are proficient across the full range of GIS work, lean toward automation and tool-building, are a strong collaborator, and are motivated to grow within a project-based consulting environment.
• You are organized, deadline-driven, and able to manage multiple project assignments without losing track.
• You communicate clearly with people who do not speak GIS or code and are attentive to detail with a sound sense of judgment to know when a deliverable is ready to ship. Cartographic judgment matters: your maps need to be accurate, readable, and are commonly a focal point of client reports.
• You thrive in a fast-paced work environment where no two projects look the same. You are wired to collaborate, and constantly looking for better tools and patterns, especially for work that recurs.
• Must possess technical skills to include ArcGIS Pro and ArcGIS Online for spatial analysis, web maps, and application development (Experience Builder, Dashboards, StoryMaps); able to configure field data collection tools (Field Maps, Survey123, Fulcrum); Python beyond arcpy (pandas, geopandas, rasterio, and similar libraries); SQL for querying and maintaining spatial and non-spatial databases (PostgreSQL/PostGIS a plus); and Git and GitHub for version control and code review.
• Additional skills that are highly valued include remote sensing and machine learning (imagery analysis, classification, OBIA workflows, and classifiers such as Random Forest), R for statistical or spatial analysis, JavaScript (and ArcGIS JavaScript API) for customizing Experience Builder or Dashboards, fluency with AI coding assistants such as Claude Code, Copilot, or Cursor, and familiarity with Pacific Northwest datasets and sources. Consulting experience is a plus.

What Will You Do for ESA

• The day-to-day work includes building and maintaining geodatabases for restoration, planning, permitting, and infrastructure projects, producing maps, figures, and spatial analyses for technical reports, NEPA and SEPA documents, and client deliverables.
• Configure field data collection tools for biological surveys, cultural resource inventories, and site assessments; and developing web maps, dashboards, and Experience Builder applications used directly by project teams and clients.
• You will write Python for automation, data pipelines, and custom tools, and manage code in shared Git repositories with code review and basic CI practices.
• You will also support remote sensing and machine learning workflows when projects call for them.
• You will collaborate closely with biologists, hydrologists, planners, cultural resources specialists, engineers, landscape architects, and other GIS analysts. The diversity of disciplines on the team makes the work engaging and underscores the importance of strong communication and time management alongside technical expertise.

What's Special About Our Geospatial Team in the Pacific Northwest

The Pacific Northwest geospatial team supports public agencies, tribes, and communities across the region. Recent and ongoing clients include the Bonneville Power Administration, Washington Department of Fish and Wildlife, Washington and Oregon Departments of Natural Resources, US Army Corps of Engineers, WSDOT, ODOT, Northwest tribes, port authorities, and local jurisdictions across Washington and Oregon.

Our work is embedded within ESA's core technical disciplines: Biological Resources, Cultural and Historic Resources, Environmental Planning, and others. Beyond the Pacific Northwest, our team regularly supports work from ESA's California Regions and Southeast Region, which brings exposure to challenges such as CEQA review and wildfire recovery in California, and sea-level rise and coastal resilience in Florida.

Our team is part of ESA's broader Technology Services Practice. For projects that grow beyond traditional GIS, we collaborate with in-house data engineers, software developers, and architects, allowing us to deliver more complex, integrated solutions.

What's Special About ESA

ESA is a 100% employee-owned environmental consulting firm. Every eligible employee receives an annual ESOP allocation, which means you build equity in the company through the work you do. Other benefits include medical, dental, and vision insurance with 70% of premiums covered for you and your family; a 401(k) with company match; paid vacation, sick leave, and holidays; tuition reimbursement; professional development bonuses; and support for attending conferences. Mentorship and career development are an active part of how the team works.

Security Engineer (Pentesting, Incident Response & Investigations)

Our Engineering teams follow a micro-service architecture approach to build the next generation of Talkdesk, with autonomous vertical teams owning their services end to end. We promote agile and collaborative practices, value peer reviews, and believe that true authority comes from knowledge, not position. Respect, curiosity, and continuous learning are core to how we work.

Are you passionate about breaking things to make them safer?

As a Security Engineer focused on Pentesting, Incident Response, and Security Investigations, you will play a key role in detecting, investigating, and preventing security incidents while proactively identifying weaknesses across our platforms and applications.

What you’ll do

Depending on your profile and experience, your responsibilities may include:

• Perform manual and automated penetration testing of web applications, APIs, cloud-based systems, and AI/ML models.

Conduct security assessments of AI-driven features, focusing on risks like prompt injection, data leakage, and adversarial attacks. Conduct security investigations to identify root causes, attack paths, and impact of security incidents.Lead or actively participate in incident response, including detection, containment, eradication, and post-incident reviews. Analyze logs, telemetry, and forensic artifacts to support investigations and threat hunting activities.

• Triage, validate, and prioritize findings from internal and external penetration tests.
• Work closely with engineering teams to explain vulnerabilities, recommend pragmatic remediations, and verify fixes.
• Support the development and improvement of incident response playbooks and processes.
• Perform threat modeling (e.g., STRIDE) to identify realistic attack scenarios.
• Continuously research emerging threats, attack techniques, and exploitation methods relevant to our environment, including the evolving AI threat landscape.
• Act as a security subject-matter expert (SME) during incidents and high-risk technical discussions.
• Help improve Talkdesk’s overall security posture through lessons learned and proactive testing.

Must have

Strong knowledge of application and systems security. Solid understanding of web technologies, networking, and common attack vectors. Practical experience with penetration testing tools and techniques

• Experience with the OWASP Top 10 for LLMs and common AI exploitation patterns

Experience conducting security investigations and incident responseUnderstanding of OWASP Top 10 and common exploitation patterns

• Knowledge of cryptographic concepts and their practical use (and misuse)
• Linux/Unix proficiency
• Experience analyzing logs and security events
• Scripting or coding experience in at least one general-purpose language (e.g., Python, Ruby, Java)
• Excellent written and verbal communication skills, with the ability to explain complex security issues clearly
• Fluent in English (written and spoken)
• Strong analytical and critical-thinking skills
• Comfortable working in fast-paced, sometimes high-pressure situations

Nice to have

• Experience testing cloud-native environments, especially AWS
• Familiarity with microservices architectures and API security
• Experience with web and mobile application security testing
• Exposure to DAST, SAST, or IAST tools (hands-on or triage-focused)
• Experience performing application architecture security reviews
• Familiarity with security standards and frameworks (e.g., ISO 27001, NIST, CIS, OWASP, SANS)
• Relevant certifications such as OSCP, OSWE, GSEC, GCIA, CISSP, or CISM
• Familiarity with technologies like Git, Ruby, Kotlin, RabbitMQ, Redis, MongoDB, or PostgreSQL

Pay Range (Base Pay):   $124,500 - $187,000

Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission. 

Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).

Retirement Benefits: 401(k) plan

Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.

Paid Holidays: Talkdesk offers 14 paid holidays each year. 

Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.

Method of Application: Apply online.

Application Window: The application window is expected to close at least 7 days from the posting date. The application was posted on 04/29/2026.

Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.

All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.

Galileo Financial Technologies, LLC seeks Senior Software Engineer in Seattle, WA: 

Job Duties: Lead the development and testing of our systems and services. Participate in shaping the technical architecture of the product. Help translate product requirements into user stories and technical solutions. Deliver highly available and scalable services in a production environment. Mentor other engineers, support the technical culture, and help grow the team. Generate ideas for new initiatives and technologies. Communicate with project leads, product managers and other software developers. Part-time telecommuting is an option. Hybrid work from Galileo offices in WA.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and three (3) years of experience in the job offered or in any occupation in related field.

Special Skill Requirements: (1) Java; (2) Kotlin; (3) Spring; (4) PostgreSQL; (5) React; (6) Kubernetes; (7) Kafka; (8) Docker; (9) Posix; (10) JavaScript; (11) TypeScript; (12) Temporal; (13) DynamoDB; (14) Redis; (15) Kibana; and (16) AWS S3, AWS Lambda, AWS ECS, AWS EC2 and AWS IAM. Any suitable combination of education, training and/or experience is acceptable. Part-time telecommuting is an option. Hybrid work from Galileo offices in WA.

Salary: $210,000.00 - $231,000.00 per annum & standard company benefits.

Submit resume with references using the apply button on this posting or by email to: Req.# 5.2 at: ATTN: HR, jobadverts@sofi.org.

#LI-DNI

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable, giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Staff Software Engineer for our “Network Expansion” team. You will play a key role in building new functionality to support our expansion into new mobility verticals and larger, more complex parking markets. This role requires an individual who thrives in fast-paced environments, working both cross-functionally with product, design, and operations as well as working across multiple engineering teams. 

What you'll do

• Provide technical direction that influences the entire company by formulating and implementing a technical vision and roadmap
• Lead large, cross-team initiatives through the entire development lifecycle, from ideation and requirements through successful launch
• Lead multiple engineering teams (10-15 engineers) towards a common goal
• Work cross-functionally with designers and product managers to understand, model, and solve real-world problems
• Own the outcomes! You’re responsible for real-world metrics shifts and company-defining business outcomes, not just for shipping software 
• Moderate technical discussions, evaluate new techniques, and ensure our platform is constantly evolving and improving
• Leverage best practices in automation testing and deployment to enable rapid iteration and launch of new features
• Help build a culture where bugs and mistakes in Production are treated as opportunities to improve the platform
• Be a great coach to bring the best out of our engineers and a key driver of hiring top talent

What we're looking for

• MS or BS in Computer Science or equivalent work experience. Strong fundamental computer science skills
• 10+ years of experience building customer-centric applications and products
• Proven track record of designing and delivering distributed systems and software products in consumer-facing applications
• Experience with microservices, event-driven architectures, and related technologies and paradigms
• Experience with Agile engineering processes that support the entire software development life cycle, including TDD/BDD, CI/CD, and related build/test/deploy processes
• Experience with database technologies, especially MySQL and Postgres.
• Excellent written and verbal communication skills with a proven ability to present complex technical information clearly and concisely to a variety of audiences
• Track record of successful cross-functional collaboration while building customer solutions in B2C and B2B settings
• Experience succeeding in situations with high levels of ambiguity
• Able to work in the office in one of Santa Monica (Los Angeles), New York City, or Seattle

While not required, these are a plus:

• Advanced-level knowledge of Scala
• An advanced degree in a technical field, such as computer science
• Previous experience working inside innovative, high-growth environments
• Experience with leveraging AI technology to streamline engineering activities

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth.

As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient.

What you’ll do

• Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for
• Design and implement resilient payment processing with support for multiple payment gateways (Stripe,  etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates
• Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close
• Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues
• Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness
• Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack

What we’re looking for

• 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms
• Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries
• Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness
• Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS
• Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide
• Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD),  MCP/skills optimization, context/prompt engineering
• Local to the Seattle area

While not required, these are a plus

• BS or MS in Computer Science or a relevant engineering discipline
• Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work
• Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition.
• Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy
• Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus
• Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity

  Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact.

What you'll do

• Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM 
• Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration 
• Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction 
• Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations 
• Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact 
• Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices 
• Present strategy, progress, and results to senior leadership and the executive team

What we're looking for

• 7+ years of experience in software engineering, AI/ML, or technical product leadership 
• At least 2 years leading teams that shipped AI-powered systems in production
• Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases
• Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions
• Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact
• Apply experience working across functional boundaries to redesign processes with strong instincts for change management
• Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience
• Maintain a bias toward shipping by moving fast and setting clear expectations for high standards

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 USD to $265,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-RR1 #LI-Onsite

About Headway

Headway's mission is to build a new mental health care system that everyone can access. We've built technology that takes the hardest parts of mental healthcare — finding the right provider, navigating insurance, managing payments — and makes them simple. We're now one of the fastest-growing companies in healthcare, with more than 200,000 patients finding care through Headway and thousands of therapists using our platform to grow their practices.

About Patient Core Experience at Headway

The Patient Core Experience team owns how patients find the right therapist on Headway. From search through the first several sessions, our four engineering pods — Onboarding, Profiles + Checkout, Ranking + Relevance, and Activation — build the systems that make great therapeutic matches happen.

We operate a three-sided marketplace (patients, providers, payers) with real complexity and massive impact. We're evolving from a provider directory into an intelligent matching platform that uses communication style, data-backed expertise signals, and patient-reported outcomes to connect people with therapists who are genuinely right for them.

Principles that guide us:

• Matching quality is the foundation of therapeutic outcomes — we obsess over getting patients to the right provider
• We ship fast and learn fast, but we protect patient trust above all else
• We build for the whole marketplace: patients, providers, and payers
• ML powers our systems, but empathy drives our product

The Problems You'll Solve

This role exists because we have hard, specific challenges that need senior engineering leadership to crack. Here's what your first year looks like:

Build an ML-powered matching system from the ground up. Our current matching is largely filter-based. We need to move to ML-powered ranking that incorporates provider communication style, expertise signals, and patient outcome data — without degrading the patient experience during the transition. You'll define the technical strategy for how we get there and own the execution across multiple pods.

Rearchitect team topology as the product evolves. We have four pods today, but the boundaries between ranking, activation, and onboarding will shift as we move toward intelligent matching. You'll need to evolve team structure, ownership boundaries, and technical interfaces as the product changes shape. This includes scaling the org from ~18 to ~25+ engineers while maintaining velocity and quality.

Close the gap between engineering output and patient outcomes. We have patient funnel metrics (intake-to-match, match-to-book, book-to-retained) but engineering doesn't yet co-own them tightly enough with Product and Data. You'll establish the operating model where engineering, product, and data science jointly own these metrics in a true triad — not one where engineering is an execution arm.

Define how your teams build software in the AI era. This isn't about adding a bullet point on AI tooling. You'll set concrete standards for how your ~30 engineers use AI-assisted development — how it changes code review, testing strategy, onboarding, and potentially team composition. You'll also own the AI/ML strategy for the product itself: where we use ML models vs. heuristics, how we handle explainability in a healthcare context, and how we build patient trust in AI-driven recommendations.

Key Responsibilities

• Set engineering strategy for the core patient experience in partnership with Product and Data Science leadership
• Lead 3 Engineering Managers; scale the org from ~18 to ~30+ engineers over the next 18 months
• Co-own patient funnel metrics with your Product and Data counterparts — not just deliver against them
• Drive delivery of ML-powered ranking, reimagined patient onboarding, and patient activation systems
• Build an engineering culture with clear standards for velocity, quality, and technical excellence — starting with honest assessment of where we fall short today

What You Bring

Required experience:

• 10+ years of software engineering experience, 5+ years managing engineering managers
• Led engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business
• Scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality
• Technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces — you don't write code daily, but you can review a system design and spot the problems
• Experience shipping ML-powered product features (search ranking, recommendations, personalization) at consumer scale
• Track record of moving business metrics (conversion, retention, engagement) through engineering-product partnership, not just delivering features on time
• Comfort working in a regulated industry where you can't just ship fast — you need to reason about bias, explainability, and patient safety in ML systems
• Practiced perspective on AI-augmented engineering workflows — you've led teams through adoption of AI development tools and have opinions on what changes and what doesn't

Nice-to-have:

• Healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes
• Experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design)
• Experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows)
• Experience rethinking team structure or hiring profiles in response to AI productivity gains

Our Stack

Our platform runs on Python (Django/FastAPI) and TypeScript/React on the frontend. Elasticsearch powers search and ranking. PostgreSQL and Redis handle data storage and caching. We use dbt and Snowflake for data pipelines, Temporal for workflow orchestration, and custom ML models for matching. Everything runs on AWS.

You won't be writing code daily, but you'll need to engage deeply enough with these systems to make sound technical and organizational decisions.

You'll Love This Role If You Want To

• Solve a genuinely hard problem at the intersection of ML, marketplace dynamics, and healthcare — where getting matching right has real clinical consequences
• Shape an engineering org during a foundational transition, with high autonomy and strong executive support
• Co-own patient outcomes, not just engineering output
• Work at a company where the mission isn't marketing copy — patients are actually getting access to therapy they couldn't get before

Compensation and Benefits:

The expected base pay range for this position is $264,000 to $330,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

Reporting to the Associate Director, Engineering - Insights Retention, this engineer will help enhance and grow the analytics products that demonstrate the value of our services to the customers using them. This role will build our product features as a part of a cross-functional product team and will collaborate with more senior engineers to grow while also mentoring more junior engineers to improve our overall execution practices.

Please note that this is a hybrid role based in Seattle, with an expectation to be in the office 2–3 days per week at our 255 King St location. Candidates must be based in the Seattle metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.

What you’ll do:

• Design and build scalable full-stack services using Ruby on Rails, React, and GraphQL
• Collaborate with cross-functional teams to ship high-impact features that improve customer reporting and analytics
• Expand and maintain the existing web application
• Debug and resolve issues quickly and efficiently
• Contribute to architectural discussions, code reviews, and tech debt prioritization
• Advocate for high engineering standards, including test coverage, documentation, and observability
• Participate in an on-call rotation to support system reliability and respond to production issues
• Collaborate flexibly across time zones, as needed, to support distributed teams and stakeholder
• Work with product managers and designers to scope and deliver 0–1 product features
• Identify areas for growth and iteration on our application stack and advocate for them on the roadmap
• Build and maintain integrations with data warehouses or external APIs
• Troubleshoot data discrepancies and work with cross-functional teams to resolve issues

What success looks like:

• Deliver projects on time, within scope, and with high stakeholder satisfaction
• Maintain high system uptime and low defect rates through strong testing and observability practices
• Partner effectively with product, design, data, or other teams, contributing meaningfully to team goals and alignment
• Complete tasks independently, resolve issues proactively, and accurately track personal work
• Contribute to improved team velocity through planning, estimation, and delivery best practices
• Continuously seek out new technologies or practices to improve engineering outcomes

What you’ll bring:

• 3-5 years of experience in software development with a focus on full-stack development
• Proficiency in at least one of the following languages: Ruby on Rails, Java, C#, Python, or equivalent on the backend and Typescript, React, Angular, Vue, or equivalent on the frontend
• Ability to work independently and collaboratively in a fast-paced, ambiguous environment
• Experience working in cross-functional Agile teams
• Strong problem-solving skills and attention to detail
• Strong knowledge of SQL and experience working with databases such as PostgreSQL or Snowflake
• Demonstrated ability to troubleshoot data discrepancies and identify root causes

The target base salary range for this position is $120,000 - $149,630, and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. 

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

• Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• We offer competitive paid time off policies including vacation, sick leave and company holidays.
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
• Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals. 
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.

AI Software Engineer – Cloud AI Platforms

At NICE, we are not just building software—we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you’re excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

What’s the role all about?

As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

How will you make an impact?

• Build and scale AI-driven workflows and automation systems
• Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
• Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
• Work on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
• Build and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools
• Translate real-world operational problems into automated, intelligent solutions
• Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
• Improve system performance, reliability, and observability
• Build evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
• Create reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity

Key Responsibilities

• Design and develop scalable backend systems for AI-powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event-driven architectures
• Design and implement database schemas and queries for complex domains — tracking, engagement, reporting
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross-functional teams to deliver high-quality solutions
• Contribute to reusable frameworks and engineering best practices
• Prototype fast — move from concept to working demo in days, ship incrementally

What we’re looking for

• 5+ years of software engineering experience, strong focus on full-stack web development
• Expert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture
• Production experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment
• Hands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns
• Experience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
• Model Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use
• Strong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
• Solid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
• Experience building scalable, distributed systems in cloud environments (AWS / Azure)
• Working knowledge of CI/CD, Docker, Kubernetes
• Familiarity with Tailwind CSS, Radix UI and modern component-driven UI development
• High agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, evolving environment
• Communicate effectively with both technical and non-technical stakeholders

Nice to have

• Experience building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)
• Experience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack
• Background in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs
• Experience with sandboxed execution environments for safely running AI-generated code
• Built research tools, experimentation platforms, or scientific software
• Proficiency with Python — FastAPI/Django, data pipelines, ML tooling
• Knowledge of observability tools (Grafana, Prometheus, Sentry, etc.)
• Experience building automation or internal platforms
• Familiarity with real-time features — WebSockets, streaming UX, collaborative interfaces
• Knowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs
• Experience with alternate JS runtimes — Bun, Deno
• Built open-source tools or platforms with active user communities
• Strong quantitative foundation (math, physics, or related fields)

Representative Projects

Things you might build in this role:

• Interfaces for collecting and managing human feedback on model outputs at scale
• Experiment orchestration platforms — launch, monitor, and analyze complex AI research runs
• Visualization tools that help understand model behavior and identify failure modes
• Reusable components and frameworks that enable rapid development of new AI applications
• Sandboxed execution environments for safely running AI-generated code
• AI-powered personalization engines — tutoring, content generation, adaptive features
• Workflow builders that let non-engineers orchestrate AI capabilities visually
• Enterprise integrations — ServiceNow, Salesforce, Confluence, Jira

About the Role

NexHealth has built the world’s most advanced healthcare integration API that synchronizes in real-time. With our real-time integration with electronic health record systems (EHRs), we help developers at tech companies like Swell, Truelark, Quip, Cherry, and more quickly build products and services that synchronize with EHR systems. NexHealth has also built our own doctor facing SaaS product on top of our own API.

You’ll work on some of our most challenging problems, from building an open data lake for health records, to building dev ops for our next 100x growth, to defining and building the next generation of health record system integrations for the industry.

What You’ll Do

• Keep up with our exponentially growing customer base and associated dataset, scaling our data processing and storage layer from terabytes to petabytes and beyond.
• Build and maintain bidirectional, real-time integrations with dozens of EHRs, scaling to hundreds or thousands of integrations.
• Drive improvements to our core systems to unlock 100x growth in the number of practices, patients, and developers relying on our platform.
• Own cross-functional projects end to end, from technical design and decomposition to a successful launch and rollout.
• Partner with engineering leaders and product managers to generate, prioritize, and deliver on ambitious engineering goals.

What You’ll Bring

• 8+ years of experience as a software engineer, with a focus on building scalable back-end systems and platforms.
• Deep experience integrating and scaling storage systems, cloud-native services, and related open source projects, including the Kubernetes ecosystem, AWS, and PostgreSQL.
• Knowledge of common DevOps tools and practices. 
• Firm grasp of quality and security engineering principles. You understand not just the what, but also the why.
• A vision for what great software and great engineering looks like, and the technical expertise and leadership skills to make that vision a reality.
• Excellent systems-level thinking. You can understand all the different components of a distributed system, how they interact, and how customer journeys and data flows touch each part.
• Excellent written and verbal communication skills. You can communicate technical concepts to business stakeholders, and business needs to the engineering team.

About the Role

NexHealth has built the world’s most advanced healthcare integration API that synchronizes in real-time. With our real-time integration with electronic health record systems (EHRs), we help developers at tech companies like Swell, Truelark, Quip, Cherry, and more quickly build products and services that synchronize with EHR systems. NexHealth has also built our own doctor facing SaaS product on top of our own API.

You’ll work on some of our most challenging problems, from building an open data lake for health records, to building dev ops for our next 100x growth, to defining and building the next generation of health record system integrations for the industry.

What You’ll Do

• Keep up with our exponentially growing customer base and associated dataset, scaling our data processing and storage layer from terabytes to petabytes and beyond.
• Build and maintain bidirectional, real-time integrations with dozens of EHRs, scaling to hundreds or thousands of integrations.
• Drive improvements to our core systems to unlock 100x growth in the number of practices, patients, and developers relying on our platform.
• Own cross-functional projects end to end, from technical design and decomposition to a successful launch and rollout.
• Partner with engineering leaders and product managers to generate, prioritize, and deliver on ambitious engineering goals.

What You’ll Bring

• 5+ years of experience as a software engineer, with a focus on building scalable back-end systems and platforms.
• Deep experience integrating and scaling storage systems, cloud-native services, and related open source projects, including the Kubernetes ecosystem, AWS, and PostgreSQL.
• Knowledge of common DevOps tools and practices. 
• Firm grasp of quality and security engineering principles. You understand not just the what, but also the why.
• A vision for what great software and great engineering looks like, and the technical expertise and leadership skills to make that vision a reality.
• Excellent systems-level thinking. You can understand all the different components of a distributed system, how they interact, and how customer journeys and data flows touch each part.
• Excellent written and verbal communication skills. You can communicate technical concepts to business stakeholders, and business needs to the engineering team.

The Opportunity

If you've worked alongside hardware teams, you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap. We're building the first AI-powered platform purpose-built for hardware product development, one that listens across the tools teams already use, maintains a structured picture of every program, and proactively coordinates across disciplines when things inevitably change.

This is a ground-floor opportunity for a hands-on backend engineer to build the core services and AI infrastructure powering this platform, with the support of a parent company leading innovation in engineering and manufacturing.

Who We're Looking For

We're seeking a backend engineer who ships reliable, well-designed systems and takes ownership of the services they build. The ideal candidate has production experience with Python, FastAPI, and PostgreSQL, and is comfortable building everything from REST APIs to background task pipelines to AI agent infrastructure. You should already be using AI coding tools like Cursor, Copilot, or Claude to accelerate your work, with excitement about building the backend that powers the first AI-native platform for complex hardware development.

This senior engineer will work alongside our engineering team, AI researchers, and head of product to build the services that turn unstructured inputs (call transcripts, emails, documents, datasheets) into structured engineering artifacts (requirements, project plans, dependencies), orchestrate ambient AI agents for proactive coordination, and serve real-time project intelligence to users. The role is hands-on - you will be coding daily while contributing to system design decisions and helping establish backend engineering best practices as we grow.

What You'll Do

Your day-to-day responsibilities will include:

● Designing and implementing RESTful APIs with OpenAPI specs and auto-generated client SDKs using SQLAlchemy and Postgres

● Developing ingestion pipelines using Celery and Redis that connect to tools teams already use (file storage, messaging, email) and extract structured engineering artifacts from unstructured inputs

● Building and extending agentic AI workflows using LangChain, LangGraph, and related frameworks for structured data extraction, risk detection, dependency analysis, and proactive team coordination

● Integrating LLM APIs (Anthropic Claude, OpenRouter) with streaming (SSE), error handling, and cost optimization

● Deploying and operating services on GCP (Cloud Run, Cloud SQL, Memorystore) with Terraform

● Writing well-tested, maintainable code and participating in code reviews to establish engineering best practices

Technical Requirements

Must Have:

● 5+ years building production backend systems, with 3+ years in Python

● Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development

● Strong experience with FastAPI or similar async Python web frameworks

● Production experience with PostgreSQL, including schema design, migrations, and query optimization

● Hands-on experience with task queues and background processing (Celery, Redis, or similar)

● Understanding of API design, authentication patterns (OIDC/JWT), and service architecture

● Experience with containerized deployments (Docker) and CI/CD pipelines

● Ability to balance rapid iteration with maintainable, well-tested code

Highly Valuable:

● Have worked in early-stage 0 to 1 startup environments

● Production experience integrating LLM APIs (Anthropic, OpenAI, etc.) and building AI-powered features with agent orchestration frameworks (LangChain, LangGraph, or similar)

● Hands-on experience with GCP services (Cloud Run, Cloud SQL, Pub/Sub, Secret Manager) and Infrastructure-as-code experience with Terraform

● Experience with data ingestion pipelines and ETL workflows

● Background in B2B SaaS platforms, project management tools, or workflow automation products

● Understanding of hardware development, engineering workflows, or project management concepts (phases, gates, dependencies)

What We Offer

Real Impact: The opportunity to build purpose-built tooling for an entire industry that has never had it

Customer Access: Direct exposure to hundreds of real hardware projects annually through Re:Build's engineering and manufacturing companies

Technical Growth: Hands-on work with cutting-edge AI technologies solving novel technical challenges

Autonomy: Backed by Re:Build while operating with startup independence

Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend

Equity & Growth: Participation in Re:Build's LTIP equity program and opportunity for founder equity in potential spin-out

Compensation & Location

Location: Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices

Compensation: Base salary range of $165,000 to $215,000 with performance bonus and long-term incentive plan offered. Potential equity stake under independent spinout scenario.

Please note this role is restricted to US citizens or lawful permanent residents only due to exposure to export controlled information.

About Re:Build Manufacturing

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We harness deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complementary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're using their combined

expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

We want to work with people that reflect the communities in which we operate

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

The role

We are looking for a Staff Backend Software Engineer to join the Protect team who will help build our next generation Insurance platform. You will have the opportunity to set technical direction for a growing and critical business function within SoFi where the overall architecture is still relatively greenfield and the business impact is high. This is a great opportunity to help shape the evolution of the team and the platform capabilities for years to come.

We are looking for a talented and experienced Senior Backend Software Engineer to join our team in building a state-of-the-art insurance platform. The successful candidate will have a strong background in designing, developing, and maintaining robust back-end systems. As a Senior Backend Software Engineer, you will play a crucial role in ensuring the scalability, performance, and security of our platform.

Key responsibilities

• Lead the development and testing of our systems and services
• Participate in shaping the technical architecture of the product
• Help translate product requirements into user stories and technical solutions
• Deliver highly available and scalable services in a production environment
• Mentor other engineers, support the technical culture, and help grow the team
• Generate ideas for new initiatives and technologies
•  Drive operational excellence in our business processes to deliver higher service quality
• Communicate with project leads, product managers and other software developers

Requirements

• Bachelor’s Degree in Computer Science or related field
• 8+ years programming experience, ideally on a modern stack.
• Our core stack is Java/ Kotlin/ Spring / AWS/ PostgreSQL, and we run on Kubernetes in a service oriented architecture.
• 4+ years Java, Kotlin or other OO programming experience 
• A solid understanding of relational databases and ORMs
• Experience working on microservice-based applications.
• Experience working with GIT and CI/CD systems.
• Effective communication skills
• Willingness to roll up your sleeves, collaborate with others and get stuff done
• Solid sense of responsibility; driving a project from inception to completion
• Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
• View Unit and Integration test as 1st class citizen in software development
• Desire to grow, learn and collaborate with team of engineers.

Nice To Have

• Experience scaling highly available, mission critical systems
• Full-stack experience, either toward systems (kafka, temporal, docker), databases (DynamoDB), or front-end (javascript/typescript, react)
• Insurance Industry Experience: Familiarity with the insurance industry and its specific regulatory requirements.
• Experience incorporating LLMs into user flows

Submit your resume here to express interest. We review general engineering applicants regularly and will reach out as relevant roles become available.

Our engineering organization builds the foundation, services, and capabilities that power ExtraHop’s industry leading products. Engineers at ExtraHop work across a wide range of challenges that include systems level development, performance optimization, distributed services, network data processing, and user facing features.

We offer an engaging and collaborative environment where engineers are encouraged to design thoughtfully, communicate clearly, and deliver high quality solutions. We value curiosity, ownership, and a willingness to dive deep into complex technologies while contributing to a positive, inclusive culture.

General Key Responsibilities

• Design, build, and maintain high quality software components that contribute to ExtraHop’s core platform and product capabilities.
  
  
• Collaborate closely with engineering peers, product management, UX, QA, and other partners to define requirements, architecture, and implementation details.
  
  
• Participate in code reviews, technical discussions, and architectural planning to ensure quality, stability, scalability, and long term maintainability.
  
  
• Debug, troubleshoot, and improve software running in real world customer environments.
  
  
• Support performance, scalability, and reliability initiatives through measurement, analysis, and optimization.
  
  
• Contribute to test automation, CI/CD processes, and modern engineering practices.
  
  
• Participate in agile development methodologies and help continuously improve team processes.
  
  
• Demonstrate ownership, technical curiosity, and a commitment to continuous learning.
  
  
• Model ExtraHop’s core engineering values which include collaboration, kindness, customer focus, and building technology that matters.
  
  

Often Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  
  
• Strong programming skills in one or more of the following languages: Go, Python, C, C++, Rust, JavaScript, or TypeScript.
  
  
• Experience developing software on Linux or Unix environments, including debugging, tooling, and common developer workflows.
  
  
• Understanding of networking fundamentals and common Layer 2 through Layer 7 protocols.
  
  
• Familiarity with secure development concepts including encryption fundamentals and modern authentication ideas such as TLS, SAML, or OIDC.
  
  
• Ability to design and implement software with an emphasis on code quality, maintainability, and reliability.
  
  
• Strong problem solving skills, clear communication, and the ability to work both independently and collaboratively.
  
  
• Demonstrated ability to learn new technologies and navigate large or complex systems.
  
  

General Preferred Qualifications

• Experience with cloud providers such as AWS, GCP, or Azure.
  
  
• Familiarity with containers and orchestration technologies such as Docker and Kubernetes.
  
  
• Experience with Infrastructure as Code tools including Terraform or Ansible.
  
  
• Experience with databases such as PostgreSQL, MySQL, Redis, or other distributed storage technologies.
  
  
• Exposure to observability or monitoring tools including Prometheus, Grafana, Elastic, or similar systems.
  
  
• Experience working with CI/CD tools such as GitLab CI, GitHub Actions, or Jenkins.
  
  
• Experience building or supporting software at enterprise scale with considerations around throughput, latency, memory, and resource constraints.
  
  
• Awareness of cybersecurity practices, packet analysis tools such as Wireshark or tcpdump, or general familiarity with detection concepts.
  
  
• Ability to mentor others and contribute to a positive, collaborative engineering culture.
  
  

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.

Software Engineer – Backend, Pricing (Senior level or higher)

Toronto

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

Compensation range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-DM

Software Engineer – Backend, Pricing (Senior level or higher)

Seattle, WA

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

The base pay range for this position is $176,000-$282,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO