The Role

SoFi is launching a brand-new commercial banking product — and we need a Staff Software Engineer to be its technical backbone.

Commercial Banking is SoFi's entry into institutional commercial banking. We're building the infrastructure that lets large institutional clients in crypto, fintech, and enterprise finance manage their money at SoFi — real-time payments, multi-account treasury management, and a closed-loop settlement network that operates 24/7/365. The systems you design will handle real institutional money from day one. The network you help architect — SEN (SoFi Exchange Network) — could become the default settlement rail for the industry.

As the Senior Staff Engineer on the Commercial Banking team, you'll be the technical leader the team looks to for the hardest problems — system design, API contracts, payment correctness, performance, and reliability. You'll set the technical bar, make architectural decisions that stick, and write the code that proves them out. This is a hands-on role: you'll be deep in the codebase while also shaping the direction for the engineers around you.

What You'll Do

Architect and Build

• Own the technical architecture for Commercial Banking's core systems — payment orchestration, client onboarding workflows, API Gateway, real-time settlement, and the services that power the client-facing experience.
• Design and implement the SoFi Exchange Network (SEN) — a real-time, 24/7/365 closed-loop payment network enabling instant settlement between SoFi commercial clients.
• Build the client onboarding orchestrator: a stateful workflow engine that provisions entities, bank accounts, entitlements, payment rails, limits, and pricing — with retry, rollback, and idempotency guarantees.
• Design enterprise-grade identity, RBAC, and maker/checker approval systems that support complex organizational structures with scoped account access, per-rail permissions, and configurable payment limits.
• Define API contracts that institutional clients will integrate against — getting the abstractions, error models, and versioning right from day one.
• Architect a sandbox environment that realistically simulates every payment rail, enabling clients to build and test their integrations with confidence.

Set the Technical Standard

• Establish system design patterns, coding standards, and engineering best practices for the Commercial Banking codebase.
• Drive technical decisions on data modeling, service boundaries, consistency guarantees, and failure handling across payment workflows where correctness is non-negotiable.
• Own observability strategy — structured logging, distributed tracing, alerting, and dashboards that give the team confidence in production.
• Lead technical design reviews and code reviews. Raise the quality bar and make it stick through example, not just feedback.
• Identify and address technical debt proactively — knowing when to take shortcuts for speed and when to invest in the right long-term solution.

Lead Through Influence

• Be the go-to technical leader on the team — the person engineers come to when they're stuck on a design problem, a performance issue, or a tricky integration.
• Mentor engineers at all levels. Help senior engineers grow toward staff-level thinking; help mid-level engineers develop stronger system design instincts.
• Partner with engineering management to shape the technical roadmap, estimate complexity, and sequence work for maximum impact.
• Drive cross-team technical alignment with other engineering teams at SoFi — working across identity, entitlements, accounts, payments, and core banking systems to ensure clean integration points.
• Represent the team's technical perspective in discussions with Product, Compliance, Risk, and Operations — translating business requirements into sound engineering decisions.

Make It Production-Ready

• Design systems that handle real money with the reliability and correctness that institutional clients demand — every transaction must be accounted for, every failure mode handled.
• Build for scale from day one — systems that work for early clients but are architected to support hundreds without rework.
• Own the technical side of client go-live: integration health checks, performance validation, monitoring readiness, and production cutover.
• Drive incident response and post-mortems. Build a culture where production issues are learning opportunities, not blame events.

What You'll Need

• 7+ years of software engineering experience, with a sustained track record of technical leadership on complex, production-critical systems.
• Deep distributed systems expertise — you can design services end-to-end, reason about consistency and ordering guarantees, and make pragmatic tradeoffs between correctness, availability, and latency.
• Hands-on mastery of JVM-based stacks (Kotlin or Java, Spring Boot) and modern infrastructure (Kubernetes, AWS/GCP, Terraform, CI/CD pipelines).
• Strong API design sensibility — you've designed APIs that external consumers depend on, and you understand the long-term cost of getting contracts wrong.
• Experience with stateful workflow systems — you've built or operated long-running, retryable, idempotent workflows in production.
• Proven ability to lead without authority — you influence technical direction through the quality of your ideas, your code, and your ability to bring people along.
• Excellent communication skills — you can write clear technical design documents, explain complex systems to non-technical stakeholders, and make your reasoning legible to the team.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

Nice to Have

• Experience building financial systems — payments, ledger, treasury, banking, or fintech where auditability, correctness, and regulatory compliance are table stakes.
• Experience building real-time payment systems (FedWire, FedNow, RTP, ACH origination) or settlement networks.
• Background in commercial or institutional banking (treasury management, FBO/omnibus accounts, correspondent banking).
• Experience with crypto-adjacent financial infrastructure — custodian banking, exchange settlement, stablecoin operations.
• Familiarity with AML/KYB compliance workflows and transaction monitoring in a regulated banking environment.
• Experience building developer-facing products — API gateways, developer portals, sandbox environments, webhook infrastructure.
• Prior work with workflow orchestration engines (Temporal, Cadence, Step Functions) for long-running stateful processes.
• Experience with event-driven architectures — Kafka, event sourcing, or CQRS patterns in high-throughput systems.

The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform. 

Data Foundations leads the path on building the central platform-level foundation and infrastructure that powers SoFi's entire data ecosystem. Their scope spans Infrastructure & Core Primitives and Platform Operations — essentially the backbone that enables all data capabilities across the organization. Key qualifications of this role include:

• Leading the technical evolution of one or more key platform subsystems.
• Resolving problems in the platform design and implementation that weren’t clearly anticipated, taking requirements with ambiguity and proposing durable technical solutions.
• Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.
• Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.
• Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.
• The ability to create clear design and operational documentation.
• Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.

What You’ll Do

As an emerging leader within our team, you will focus on building out the backend services for our next-generation Lending Platform. This role involves full product lifecycle engagement, from initial concept to deployment. Key responsibilities include implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services. Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering
• 3+ years as a professional, full-time Software Engineer, or similar relevant work experience.
• Proficient coding in Java, Kotlin, or other similar object-oriented programming language.
• Proficient working with GIT and related CI/CD systems.
• Experience with public cloud compute, storage, and infrastructure.
• Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.
• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
• Deep understanding of relational and document database fundamentals.
• Deep understanding of fundamental distributed systems concepts.

Nice To Have

• Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).
• Experience with microservices design principles and architecture.
• Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe powers businesses all over the world. We process payments, run marketplaces, detect fraud, help entrepreneurs start a business from anywhere in the world, build world-class developer-friendly APIs, and more. Nearly every system we operate interacts with sensitive financial or personal data — making security a top priority for Stripe.

Stripe will succeed at our mission of increasing the GDP of the internet only if we prove ourselves worthy of our users’ trust. As an engineer on the Security team, you will design and develop frameworks, systems, and solutions to ensure the security of Stripe’s engineering infrastructure and, most importantly, privacy of our users’ data.

The Cloud Security team accelerates Stripe’s business priorities by building core security controls and services that empower teams to build quickly and securely on top of a well-governed cloud platform and partnering with infrastructure teams to advance select critical business priorities using novel infrastructure or integrations as that platform expands.

What will you do?

• Design, build, and operate the core security infrastructure used by all of Stripe’s engineering teams in close collaboration with other stakeholders and our users.
• Uphold our high engineering standards and bring consistency to the many codebases and processes you will encounter
• Contribute to team learning by improving engineering standards, tooling, and processes
• Design and build durable solutions that will advance Stripe’s security beyond the state of the art.
• Help expand Stripe’s cloud footprint on top of secure, paved roads and guardrails
• Optimize for security controls that have delightful user experiences
• Partner closely with infrastructure and engineering teams building integrations with our cloud infrastructure or adopting new cloud managed services
• Make impactful decisions about systems and security — their edge cases, failure modes, and life cycles
• Use data to determine appropriate baselines against which to measure security
• Define infrastructure that reliably feeds signals to threat teams
• Evaluate and prototype new security tools and practices

You may work on

• Designing and implementing controls that support security invariants and enforce our security principles while providing a surprisingly great user experience
• Providing a migration path for newly acquired companies onto the Stripe Secure Platform, embedding with their engineers and biasing for action
• CI tooling for platform-related configuration: IAM roles, SCPs, and associated components
• Guardrails and security controls for both commonly used and newer cloud technologies
• Expanding our cloud identity infrastructure to provide paved paths for AI and agentic access
• Automation tooling for continually driving down permissions and access across our cloud services

Minimum requirements

• Empathy, strong communication skills and a deep respect for the power of collaboration
• A learning mindset, regardless of level or experience
• The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership
• High standards for code quality and a constructive attitude to help others raise the bar
• Software engineering experience in a high-stakes production environment
• A knack for considering how systems can fail and how to fix them
• An ability to think creatively and holistically about reducing risk in a complex environment
• Experience with security on one or more of AWS, Azure, or GCP

Preferred qualifications

• Experience conducting threat modeling of software or infrastructure in cloud native environments
• Experience with Linux systems, Kubernetes, and/or container-based platforms
• Prior usage of security monitoring tools (e.g., CSPM, CNAAP)
• Experience in a multi-cloud, or complex, cloud environment
• A knack for considering how systems can fail and how to fix them 
• An ability to think creatively and holistically about reducing risk in a complex environment

About the team

The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe.

As a founding member of this team, you will be architecting a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we are building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real-time.

What you’ll do

As a Senior Software Engineer on this founding team, you will lead the technical design and implementation of our core security data pipelines. You will be responsible for defining how security signals are captured, processed at scale, and delivered to our users through robust, developer-friendly interfaces. If you have security domain knowledge, there are significant opportunities for you to help shape product vision.

Responsibilities

• Architect Scalable Foundations: Design and implement a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry.
• Build API-First Products: Develop the core services and streaming APIs that enable enterprise customers to seamlessly ingest security signals into their own internal security operations centers and analytics tools.
• Engineering Security Signals: Partner with security researchers and threat detection experts to build the logic that identifies anomalous behavior and surfaces high-fidelity security insights.
• Define Technical Strategy: Lead the technical roadmap for the platform, making critical decisions on data modeling, storage strategies, and the abstraction layers that will support future security products.
• Drive Engineering Excellence: As a senior leader, you will set the bar for code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability.
• Cross-functional Collaboration: Work closely with Stripe’s core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected.

Who you are

We are looking for an experienced backend and systems engineer who thrives on building new products from scratch. You should have a deep background in distributed systems and a passion for building platforms that empower other developers and security professionals.

Minimum requirements

• 8+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems.
• Expertise in Data Engineering & Distributed Systems: Deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies).
• Strong Programming Fundamentals: Significant experience in languages like Java, C++, or Rust.
• System Design Leadership: A proven track record of designing robust, scalable architectures and leading cross-team technical initiatives from conception to launch.
• Operational Mindset: Experience maintaining mission-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging.
• Communication & Collaboration: Excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders.

Preferred qualifications

• Security Domain Knowledge: Prior experience building security analytics, threat detection systems, or observability platforms.
• Platform Engineering: Experience building "as-a-service" infrastructure where the primary users are other engineers or external developers.
• Cloud Native Infrastructure: Prior experience with AWS, Kubernetes, and infrastructure-as-code (Terraform).
• Product Intuition: A desire to work on "0-to-1" initiatives where you help define the product requirements and user experience alongside engineering.
• Front-end / Full Stack Experience: Prior React / TypeScript frontend experience is helpful

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As the Engineering Manager for Cloud Infrastructure, you will lead a highly competent team of senior engineers responsible for the foundational AWS ecosystem that powers Brex. Your primary near-term mission will be driving our high-priority Business Continuity and Disaster Recovery (BCDR) initiative to completion, a company-level priority that involves multi-region failover and infrastructure-wide resilience. You will balance people leadership with deep technical involvement, earning the respect of a senior team while improving operational hygiene and cross-functional coordination across the entire engineering organization.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week: Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead and Grow: Manage and support a senior team of 6 ICs, fostering a culture of high ownership, autonomy, and technical excellence.
• Drive BCDR Strategy: Oversee the execution of the multi-year BCDR initiative, ensuring multi-region infrastructure readiness and automated failover capabilities.
• Technical Stewardship: Maintain and scale Brex’s core cloud infrastructure, including Kubernetes (EKS), RDS/Aurora/Postgres, networking (VPC), and AWS service integrations.
• Cross-Functional Collaboration: Partner with product and engineering teams across Brex to drive adoption of new infrastructure capabilities and ensure successful migrations.
• Operational Excellence: Improve team hygiene by establishing and improving best practices for work tracking (Linear), documentation, and incident response.
• Resource Management: Effectively allocate resources to balance critical project delivery with long-term infrastructure stability.

Requirements

• Leadership Experience: 3+ years of experience directly managing software or infrastructure engineering teams.
• Technical Depth: Deep hands-on experience with cloud infrastructure foundations, specifically AWS, Kubernetes, and Postgres.
• Architectural Insight: Proven ability to design and implement complex infrastructure projects such as multi-region deployments or disaster recovery frameworks.
• Collaborative Mindset: Strong communication skills with the ability to influence technical decisions across multiple autonomous teams.
• Analytical Problem Solving: Ability to dive deep into technical issues while maintaining a high-level strategic view of organizational goals.
• Engineering Background: 5+ years of experience in software or systems engineering.

Bonus points

• Experience with Infrastructure as Code tools, specifically Terraform.
• Background in managing cloud infrastructure cost optimization programs.
• Experience with our tech stack components: Go, Kotlin, Python, or Elixir.
• Passion for leveraging AI and LLM-assisted workflows to increase engineering velocity.

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.

This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.

What You'll Do

• Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
• Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
• Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
• Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
• Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability 
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have a strong interest in LLM serving; prior inference or ML experience is not required 
• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With:

• LLM inference optimization, batching, and caching strategies
• Capacity-constrained scheduling or shared-resource test infrastructure
• Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
• Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
• Proficiency in Python or Rust

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions. 

Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.

We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
• Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
• Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security 
• Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
• Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others

Requirements

• Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response 
• Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
• Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
• While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
• You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.

Bonus points

• Proficiency with Go and other programming languages 
• Experience with securing distributed systems in AWS, cloud and Kubernetes environments
• Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What You’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a hybrid role

JR: 2026-7748

#LI-Hybrid

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a hybrid role

JR: 2026-7423

#LI-Hybrid

Spring Health is seeking a Senior DevOps Engineer I to join our Platform team. Reporting to the Engineering Manager and partnering closely with our AI and Infrastructure teams, the Senior DevOps Engineer I will own the evolution of our automation tooling and the reliability of our multi-cloud infrastructure. 

Please note that this is a hybrid role based in Seattle, with an expectation to be in the office 2–3 days per week. 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

• Contribute to the DevOps team on-call rotation and internal tooling development to ensure platform stability.
• Partner with AI teams to build out scalable infrastructure leveraging team best practices for Infrastructure as Code (IaC).
• Create and iteratively improve automation tooling centered around established team standards for IaC.
• Participate in design consultations for the AI team to architect infrastructure for new services.
• Act as a subject matter expert for infrastructure reliability and deployment patterns.
• Collaborate across Engineering to identify bottlenecks in the developer experience and provide automated solutions.
• Ensure infrastructure built out is production ready according to best practices around telemetry and observability as well as reliability

What success looks like in this role

• Maintain 99.9% infrastructure uptime through the design and construction of highly available and reliable systems.
• Reduce DevOps operational toil by implementing robust tooling and self-correcting automation.
• Increase the self-serviceability of infrastructure, empowering engineering teams to deploy and manage resources independently through automation.
• Standardize IaC patterns across AI initiatives to decrease time-to-market for new models and services.

What you’ll bring

• Expertise in building highly available and reliable systems within AWS.
• Working knowledge of best practices for deploying services using Azure and GCP APIs.
• Proven track record of building custom automation tooling to solve complex infrastructure challenges.
• Deep understanding of infrastructure fundamentals and Infrastructure as Code (IaC) best practices.
• Experience operating in a containerized environment (Kubernetes/EKS) is preferred.
• A proactive approach to security and compliance within cloud environments is a plus.
• Knowledgeable in telemetry and observability best practices

The target base salary range for this position is $159,100 - $191,000 and is part of a competitive total rewards package including equity 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.

The Role

We are looking for a Software Engineer to join our SoFi Money team. As a member of the SoFi Money team, you will help build new systems, maintain the health of our systems, and continually grow your skill set. The ideal candidate is both forward-thinking and hands-on, has a solid sense of ownership and drive for delivery, and is a strong team player. 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. 

What You’ll Do

• Build and maintain backend services that support client onboarding, account setup, and payment configuration workflows.
• Develop APIs used by internal teams and external clients, following established design standards and best practices.

• Write clean, maintainable, and well-tested code in a JVM-based stack (Kotlin/Java, Spring Boot).
• Follow established patterns for reliability, scalability, and fault tolerance.
• Participate in code reviews and incorporate feedback to improve code quality.
• Debug and troubleshoot issues in development and production environments with guidance from senior engineers.
   

What You’ll Need

• 1+ years of software engineering experience building backend systems.
• Experience with JVM-based languages (Java or Kotlin) and frameworks like Spring Boot.
• Basic understanding of distributed systems concepts (e.g., APIs, databases, service communication).
• Experience building or consuming APIs.
• Familiarity with cloud platforms (AWS/GCP) and containerized environments (e.g., Kubernetes) is a plus.
• Strong problem-solving skills and attention to detail.
• Good communication skills and willingness to learn from others.
• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
  
  

Nice to Have

• Exposure to financial systems, payments, or fintech products.
• Familiarity with event-driven systems or messaging platforms (e.g., Kafka).
• Experience working with workflow or orchestration tools.
• Understanding of reliability concepts like retries, idempotency, and fault tolerance.
• Interest in building scalable, high-availability systems.
  
  

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models.

The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

You will:

• Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery.
• Design and implement scheduling primitives to optimize the lifecycle of training jobs.
• Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
• Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability.
• Work closely with Finance and Procurement teams to drive our capacity planning process.
• Participate in our team’s on call process to ensure the availability of our services.
• Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.

Ideally you'd have:

• 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes).
• Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++)
• Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling.
• Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling.
• Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput
• Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware.
• Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
• Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to haves:

• Experience with distributed training techniques such as DeepSpeed, FSDP, etc.
• Experience with the NVIDIA software and hardware stack (CUDA, NCCL)
• Experience with PyTorch
• Familiarity with post-training algorithms such as GRPO, and with Reinforcement Learning

We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.

You will:

• Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem.
• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy. 
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction.
• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience operating and securing AWS infrastructure at scale.
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

The Role:

SoFi is launching a brand-new commercial banking product — and we need a Senior Engineering Manager to build and lead it.

Commercial Banking is SoFi's entry into institutional commercial banking. We're building the infrastructure that lets large institutional clients in crypto, fintech, and enterprise finance manage their money at SoFi — real-time payments, multi-account treasury management, and a closed-loop settlement network that operates 24/7/365. The product you build will handle real institutional money from day one. The network you help create — SEN (SoFi Exchange Network) — could become the default settlement rail for the industry.

This is a rare chance to build a new business line for a publicly traded bank, backed by SoFi's banking charter, existing payment infrastructure, and a company that moves fast. You'll shape the technical foundation, hire the team, and ship the product.

What You'll Do:

Build It

• Lead the architecture and delivery of SoFi's commercial banking product — API Gateway, payment orchestration, client onboarding, and the services that power the client-facing experience.
• Own the end-to-end client onboarding orchestrator: a stateful workflow engine that provisions entities, bank accounts, entitlements, payment rails, limits, and pricing — across sandbox and production environments.
• Drive the design and implementation of the SoFi Exchange Network (SEN) — a real-time, 24/7/365 closed-loop payment network enabling instant settlement between SoFi commercial clients.
• Build enterprise-grade identity, RBAC, and maker/checker approval systems that support complex organizational structures (CFOs, treasury managers, analysts, auditors — each with scoped account access, per-rail permissions, and configurable payment limits).
• Deliver a production-quality sandbox environment that allows institutional clients to integrate and test against realistic simulations of every payment rail.

Lead the Team

• Recruit, mentor, and grow a high-performing engineering team.
• Set technical direction and engineering standards — code quality, system design, observability, incident response.
• Drive execution with well-defined sprints, clear deliverables, and tight feedback loops.
• Create a culture of ownership where engineers think beyond their pull requests — understanding the business impact of every payment that flows through the system.

Drive Cross-Functional Delivery

• Partner directly with Product, Design, Compliance (AML/KYB), Risk, Treasury, and Bank Operations to deliver a product that meets both client needs and regulatory requirements.
• Coordinate across engineering teams at SoFi to integrate Commercial Banking into SoFi's broader banking infrastructure — identity, entitlements, accounts, payments, and core banking systems.
• Influence and shape the end-to-end client experience, working closely with partners across the product and design organizations.
• Own the technical relationship with early clients during onboarding, sandbox integration, and production go-live. You'll be in the room when the first wire clears.
• Define and execute the go-live readiness process: functional validation, security review, ops runbook, monitoring, and formal sign-off across Engineering, Operations, and the client.

Scale It

• Design systems that scale from early clients at launch to hundreds — with the onboarding orchestrator, payment processing, and operational tooling to support that growth.
• Establish the operational workflows that SoFi Ops will use to manage Commercial Banking clients at scale (account views, payment rail dashboards, error resolution, compliance and regulatory workflows).
• Build the billing and revenue infrastructure, including monthly reporting and reconciliation.

What You'll Need:

• 10+ years of software engineering experience, with at least 4 years in engineering management leading teams of software engineers.
• Strong distributed systems skills — you can design services, define API contracts, and reason about consistency, idempotency, and failure modes in complex workflows.
• Strong technical expertise — you can evaluate architecture proposals, engage in design reviews, and hold the team to a high engineering bar. Familiarity with JVM-based stacks (Kotlin or Java, Spring Boot) and modern infrastructure (Kubernetes, AWS/GCP, CI/CD) is a plus.
• Track record of zero-to-one product delivery — you've shipped a new product from concept to production with real users.
• Experience with enterprise identity and access management — RBAC, OAuth2, multi-tenant authorization, and approval workflows.
• Strong cross-functional leadership — you can drive alignment across Product, Design, Compliance, Risk, and Operations without needing a VP to clear the path.
• Excellent communication skills — you'll present to executives, write technical design documents, and explain system tradeoffs to non-technical stakeholders.

Nice to Have:

• Experience building financial systems — payments, ledger, treasury, banking, or fintech where correctness, auditability, and reliability are non-negotiable.
• Experience building real-time payment systems (FedWire, FedNow, RTP, ACH origination) or settlement networks.
• Background in commercial or institutional banking (treasury management, FBO/omnibus accounts, correspondent banking).
• Experience with crypto-adjacent financial infrastructure — custodian banking, exchange settlement, stablecoin operations.
• Familiarity with AML/KYB compliance workflows, sanctions screening (OFAC), and transaction monitoring in a regulated banking environment.
• Experience building developer-facing products — API gateways, developer portals, sandbox environments, webhook infrastructure.

Prior work with workflow orchestration engines (Temporal, Cadence, Step Functions) for long-running stateful processes.

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2263171228

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

About the Role

We’re looking for a Senior Engineer to help build the next-generation inference platform that supports embedding models used for semantic search, retrieval, and AI-native experiences in MongoDB Atlas.

You’ll join the broader Search and AI Platform organization and collaborate with ML researchers and engineers from our Voyage.ai acquisition. Together, we’re building infrastructure for real-time, low-latency, and high-scale inference — fully integrated with Atlas and designed for developer-first experiences.

As a Senior Engineer, you'll focus on building core systems and services that power model inference at scale. You'll own key components of the infrastructure, work across teams to ensure tight integration with Atlas, and contribute to a platform designed for reliability, performance, and ease of use.

We're looking to speak with candidates in Palo Alto for our hybrid working model.

What You’ll Do

• Design and build components of a multi-tenant inference platform integrated directly with MongoDB Atlas, supporting semantic search and hybrid retrieval
• Collaborate with AI engineers and researchers to productionize inference for embedding models and rerankers — enabling both batch and real-time use cases
• Contribute to platform capabilities such as latency-aware routing, model versioning, health monitoring, and observability
• Improve performance, autoscaling, GPU utilization, and resource efficiency in a cloud-native environment
• Work across product, infrastructure, and ML teams to ensure the inference platform meets the scale, reliability, and latency demands of Atlas users
• Gain hands-on experience with tools like vLLM and container orchestration with Kubernetes

Who You Are

• 5+ years of experience building backend or infrastructure systems at scale
• Strong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliability
• Experienced in cloud-native architectures, distributed systems, and multi-tenant service design
• Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models
• Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus
• Comfortable working across functional teams, including ML researchers, backend engineers, and platform teams
• Motivated to work on systems integrated into MongoDB Atlas and used by thousands of developers

Nice to Have

• Experience integrating infrastructure with production ML workloads
• Understanding of hybrid retrieval, prompt-driven systems, or retrieval-augmented generation (RAG)
• Contributions to open-source infrastructure for ML serving or search

Why Join Us

• Be part of building the AI foundation of the world’s most popular developer data platform
• Collaborate with ML researchers from Voyage.ai to bring novel ideas into scalable systems
• Tackle challenging problems in inference, observability, and distributed infrastructure
• Work in a culture that emphasizes mentorship, ownership, and technical excellence

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263317053

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
• Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Are curious about LLM serving; prior inference or ML experience is not required
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• Have experience working with external partners to align goals and deliver impact
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a site reliability engineer in Discovery, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve critical outcomes. 

You’ll work closely with software, data, and operations engineers to get systems into the hands of customers, deployed and supported on real infrastructure, with real users.

Above all, Site Reliability Engineers must be driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound decisions to deliver successful outcomes on-time and with high quality.

WHAT YOU’LL DO

• Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
• Drive continuous organizational improvement by leading post-mortem events involving diverse stakeholders
• Quickly diagnose and resolve system issues across cloud, robotics, and mesh networking architectures
• Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling
• Design, develop, and deliver solutions using modern technologies that ensure scalable and fault tolerant delivery of systems to the warfighter
• Build strong relationships with internal and external customers to identify technical solutions to their problems

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• STEM degree or equivalent technical experience
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development, hardware design, and/or cybersecurity
• Minimum of 5 years of operations and engineering experience
• Proficiency with IaC tools (Terraform, Ansible).
• Experience with cloud platforms (Azure, AWS, GCP).
• Proficiency in containerization (Docker) and container orchestration (Kubernetes).
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

PREFERRED QUALIFICATIONS

• Ability to drive consensus across internal and external stakeholders
• Experience developing and delivering solution to evolving problems in complex environments
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Experience building scalable solutions along with plans for implementation. Not just the end state, but what are the steps needed to get there while maintaining the customer experience
• Experience performing data-driven root cause analysis on complex systems
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Excellent written and verbal communication skills

The Role

Join us in revolutionizing the financial landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform.

Data Trust org leads the path for building platform services, and governance initiatives — from integrating diverse data sources into governance tools to evolving the foundational architecture that supports SoFi’s long-term growth

Data Trust’s charter includes

• Development and management of the Unified Data Catalog and Discovery Tools
• Ownership and other metadata associated with the Catalog
• Lineage and retention policies
• Data Quality Strategy and Standardization (Tiered Ownership, SLOs)
• Enforce regulatory compliance and privacy across data
• Data Governance enforcement and tooling (Data Contracts, RBAC mechanisms).
• Building self-service tools for Data Owners and Data Engineers.

What You’ll Do

As an emerging leader within our team, you will focus on building out the backend services for our next-generation metadata architecture. This role involves full product lifecycle engagement, from initial concept to deployment.

Key responsibilities for this role include:

• Implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services.
• Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.
• Leading the technical evolution of one or more key platform subsystems.
• Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.
• Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.
• Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.
• The ability to create clear design and operational documentation.
• Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering
• 3+ years as a professional, full-time Software Engineer, or similar relevant work experience.
• Proficient coding in Java, Kotlin, Python or other similar object-oriented programming language.
• Proficient working with GIT and related CI/CD systems.
• Experience with public cloud compute, storage, and infrastructure.
• Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.
• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
• Deep understanding of relational and document database fundamentals.
• Deep understanding of fundamental distributed systems concepts.

Nice To Have

• Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).
• Experience with microservices design principles and architecture.
• Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).
• Experience working with Data Platforms

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.

Key responsibilities

• Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
• Partner across teams to ensure new compute capacity is ingested on time
• Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
• Collaborate with security owners to ensure clusters are provisioned secure-by-default
• Define and drive strategy on cluster scalability, homogeneity and fault tolerance
• Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
• Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
• Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
• Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
• Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
• Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Client Platform Engineer to join our Enterprise Site Reliability (SRE) team to lead the management of our enterprise Windows, Mac, and Ubuntu clients. The team is responsible for designing, implementing, and maintaining scalable and secure client device infrastructure. They also automate device deployment, configuration, and management processes.

This role will contribute to delivering the benefits of self-driving by leading the development of tailored client device solutions that address Aurora-wide and team-specific requirements for software and hardware development and manufacturing.

In this role you will

• Guide the approach and execution of the Client Platform Engineering Team
• Plan, design, and implement scalable solutions to manage Aurora's physical and virtual client platforms (Macs, Windows, Ubuntu) to ensure they receive security patches, configuration, and software package updates
• Partner with IT Support, InfoSec, and Developer Experience on strategy and implementation of client platform management solutions
• Handle escalations from IT Support, with an emphasis on mentoring and empowering IT Support to address similar problems
• Participate in the Enterprise SRE 24/7 on-call rotation

Required qualifications

• Experience of at least 8 years in Client Platform engineering and at least 3 years in leading engineering solutions (design to implementation) at scale.
• Expertise with client device lifecycle management, including experience across multiple client operating systems and various hardware platforms.
• Experience with MacOS, Windows, and Linux system administration.
• Experience deploying configuration management tools such as Intune, Kandji, Puppet, Ansible, or Chef.
• Experience with automation and tool development, preferably using Powershell, Go, or Python.
• Strong change management skills, including rollout planning and communication, and collaborating with stakeholders.
• Understanding of client endpoint security concepts and experience applying security hardening to client devices, such as CIS Benchmarks.
• Outstanding written and verbal communication skills that drive executional impact at scale. 
• Experience with automating testing for imaging, provisioning, and configuration management.

Desirable qualifications

• Experience working within cloud environments such as AWS, GCP, or Azure.
• Experience in environments deploying containerized workflows, using tools such as Docker or Kubernetes.
• Familiarity with SRE concepts such as SLIs, SLOs, SLAs, incident response, and best practices and partnering with teams on them.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or CloudFormation

The base salary range for this position is  $181,000 - $262,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

ABOUT THE TEAM

Anduril Industries is redefining defense technology by delivering advanced, integrated systems to U.S. and allied forces. At the heart of our efforts is Lattice OS, a secure, distributed operating system enabling autonomous decision-making at machine speed across platforms, cloud systems, and tactical networks.

ABOUT THE JOB

We are seeking a Multinational Digital Infrastructure Senior Cloud Engineer to design, deploy, and manage complex AWS and Azure cloud environments for multinational defense operations. This hands-on role requires deep technical expertise in multi-cloud architecture, security, and edge-to-cloud integrations supporting sovereign and classified environments across U.S., Australian, and UK missions.

This role offers a chance to design and deploy cutting-edge cloud infrastructure for missions of global importance. As a Senior Cloud Engineer, Multinational Digital Infrastructure, you’ll work with groundbreaking technology, support multinational operations, and drive innovation in secure cloud systems that empower autonomy and mission success across allied nations.

WHAT YOU’LL DO

• Design and Deploy Cloud Systems: Build secure, scalable cloud architectures on AWS and Azure to support tactical mission platforms and sovereign defense environments.
• Integrate Multinational Clouds: Engineer solutions enabling seamless interoperability between sovereign cloud environments (e.g., IL5/IL6 networks, Australian IRAP-compliant builds) and tactical edge systems.
• Optimize Cloud Infrastructure: Develop automated workflows using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation) to streamline deployments, scaling, and maintenance.
• Enable Secure Data Flow: Work across classified systems to establish secure edge-to-cloud pipelines for autonomy, mission data, and operational decision-making.
• Collaborate Globally: Support multinational exercises, partner integration events, and global deployments, ensuring systems function across U.S., UK, and Australian defense frameworks.
• Troubleshoot in Real-Time: Resolve complex cloud infrastructure challenges in operational environments, balancing security, uptime, and mission-critical needs.

REQUIRED QUALIFICATIONS

• 8+ years in cloud engineering, architecture, or systems engineering, with direct expertise in AWS and Azure environments.
• Technical Expertise:
• Proficiency in multicloud architecture, secure networking (VPCs, VPNs, hybrid connectivity).
• Hands-on experience with Infrastructure-as-Code tools like Terraform, CloudFormation, and Ansible.
• Advanced knowledge of cloud security principles, IAM, encryption, and compliance frameworks (e.g., IL5/IL6, IRAP).
• Working knowledge of container orchestration (e.g., Kubernetes, Docker).
• Clearance: Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
• Education: Bachelor’s degree in computer science, engineering, or related technical field.
• Travel: Willingness to travel up to 30%, including international deployments.

PREFERRED QUALIFICATIONS

• Experience with sovereign cloud platforms in classified environments.
• Familiarity with Lattice OS or distributed systems used in autonomous operations.
• Hands-on knowledge of mesh networking, edge compute, or tactical data systems.
• Multinational collaboration experience, including AUKUS missions or other allied defense efforts.

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

As a Staff Engineer on the Security Infrastructure team, you will build the platform that enables Coupang to win and grow our customers’ confidence while rapidly expanding and scaling our services. 

The Security Infrastructure team builds core security services and libraries used by all Coupang services to secure themselves and our customers. Our work supports teams across Coupang and thousands of microservices. We aim to make Coupang and its products more secure while also making our engineers more productive. Our responsibilities include building Identity and Access Management (IAM) functionality for our entire ecosystem of vendors, sellers and shoppers. 

We are looking for engineers who are passionate about building platforms at scale, with emphasis on usability, reliability and efficiency. You will work on adding features to our authentication and authorization platforms, and deeply integrating them with Coupang’s service infrastructure. The successful candidate will be a well-rounded engineer who balances strategic and design thinking with attention to detail in implementation and operations. If that sounds like you, come join us! 

What You Will Do

• Develop our IAM platforms and rapidly iterate while collaborating actively as part of a small, highly talented team  
• Partner with teams across the company to understand their current needs and future direction 
• Think systematically to identify technical solutions, balancing strategic goals and immediate impact 
• Demonstrate excellence in architecture and design, resulting in robust and scalable systems  
• Hands-on develop critical infrastructure components   
• Write back-end APIs in Java and Go, using industry-standard frameworks 
• Work across teams to drive platform adoption, helping teams prioritize ruthlessly and “move with urgency”
• Dive deep into critical system issues, constantly raising the bar on Operational Excellence
• Serve as a role model for other engineers and shape our team culture 

   Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Math, or a closely related field
• 6 years of experience in backend software development
• Experience working in cloud environments, particularly AWS
• Demonstrated experience in building and maintaining highly available, distributed systems

      Preferred Qualifications  

• Masters or PhD degree in computer science or other related technical field  
• Working knowledge of security protocols such as OIDC and OAuth2  
• Working knowledge of IAM systems such as identity providers and role based authorization 
• Experience working with Kubernetes, gRPC and Istio 
• Experience building high-reliability and low-latency systems in the Cloud 
• Experience with CI/CD pipelines and Infrastructure as Code
• Fluent in one or more of C++, Java and Go 
• Recent hands-on experience designing and developing large scale distributed systems  
• Experience with cloud computing using AWS, Azure or GCP
• Deep understanding of Cloud applications design and architecture, good API design patterns, performance and scale 

Pay & Benefits   

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. 

The base pay for this position ranges from $164,00/year to $282,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits  

• Medical/Dental/Vision/Life, AD&D insurance  
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station 

General Description of Other Compensation

 “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.  

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Job Requisition ID: R0069308

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.  As a Senior Site Reliability Engineer, you’ll work to: 

• Build and scale our internal  platform offerings (compute, storage and networking services) to ensure the reliability, and performance of our applications.
• Design and implement monitoring, alerting, and incident response systems.
• Collaborate with application software engineers (as needed) to guide their design and ensure it scales for what Carta needs in the long run.
• Act as an agent of change and push boundaries to incrementally improve our systems as we expand globally.

The Team You'll Work With

You’ll be joining the Infrastructure Engineering team at Carta. The Infrastructure Engineering team is responsible for providing secure, reliable, scalable and performant infrastructure to Carta’s customers and developers.

We are Software and Infrastructure Engineers who specialize in cloud computing, networking, systems design and architecture, storage, real time data telemetry, associated automation, tooling and processes. We possess a breadth and depth of knowledge about Carta’s infrastructure and industry wide best practices, that translates into leverage for Carta’s business.

About You

You are excited by the idea of developing scalable, reliable and efficient infrastructure that powers the entire company. We’re looking for strong communicators who enjoy collaborating to solve complex problems. Familiarity with infrastructure best practices on performance, reliability and security and their associated tools is appreciated. 

Our stack is Python, Java, Terraform, gRPC, Docker, Kubernetes, Postgres, running on AWS. Come join us! 

• Cloud Platforms: Extensive experience with cloud services such as AWS, Google Cloud Platform, or Azure, including services like EC2, S3, RDS, and Lambda. Experience with Kubernetes or other container orchestration is preferred!
• Infrastructure as Code (IaC): Proficient in using tools such as Terraform, Ansible, or CloudFormation for managing and provisioning cloud infrastructure.
• Networking: Experience with networking concepts and tools, including Container Network Interface (CNI), Network policy implementations. Experience with proxies and service mesh is a big plus. 
• Monitoring and Observability: Strong knowledge of monitoring tools and practices, such as Prometheus, Grafana, ELK Stack, or Datadog, and the ability to set up and maintain comprehensive monitoring solutions.
• Software Development: Proficiency in Python, with the ability to write efficient, maintainable, and scalable code.
• API Services: Experience in designing, deploying, and maintaining API services, with a strong understanding of RESTful and/or GraphQL API design principles.
• AI Fluency: You use AI tools in your own day-to-day work in addition to enabling others. You're comfortable building agents to reduce toil and expect this to be a normal part of how you operate.
• Experience operating CI/CD and its associated best practices is also appreciated though not essential.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

• $181,688 - $213,750 in Seattle, WA
• $191,250 - $225,000 in Santa Clara, CA  or San Francisco, CA

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product lifecycle, from initial scoping of user requirements through architecture, implementation, and support.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

ABOUT THE JOB

The Infrastructure Engineering organization is looking for an accomplished Systems Engineer to lead our acquisition integration engineering practice. This pivotal role will own the end-to-end infrastructure engineering lifecycle of integrating newly acquired businesses into Anduril's existing ecosystem. You will be instrumental in defining, executing, and maturing our integration processes, from initial discovery and assessment through migration execution and hypercare. This individual will possess a remarkable dynamic range, capable of engaging effectively with company founders and executives, producing architecture and roadmaps, and rolling up their sleeves to perform hands-on engineering work. A key responsibility will be collaborating with stakeholder teams (Merger & Acquisition program team, Client Engineering, Business systems & Applications) to define and establish our acquisition integration engineering practice, developing repeatable, benchmarked processes that undergo rigorous post-mortem and continuous improvement. You will also identify critical tooling gaps that can expedite discovery, migration, and testing activities, either building these tools yourself or scoping them for peers to deliver. While you will collaborate closely with Security and Client Engineering teams, a strong foundational understanding of these domains is essential, complementing your deep networking and systems engineering expertise.

WHAT YOU'LL DO

• Define, establish, and lead the infrastructure integration engineering practice, setting the technical vision and strategy for integrating new entities and technologies.
• Single threaded ownership of all infrastructure component(s) of acquisition integration from discovery and due diligence through migration execution and hypercare.
• Conduct comprehensive technical assessments of target companies' infrastructure, systems, and operational capabilities, identifying risks and opportunities.
• Develop and present high-level architectural strategies and detailed roadmaps for integrations to executive leadership, founders, and technical teams.
• Design and implement robust, scalable, and secure system architectures for integrated environments, ensuring alignment with Anduril's overall technology strategy.
• Develop and execute detailed migration plans, managing complex technical challenges and dependencies.
• Provide post-migration hypercare support, ensuring a smooth transition and stabilization of integrated systems.
• Define, document, and continuously improve repeatable processes to accelerate acquisition integration, establishing benchmarks, conducting post-mortems, and implementing lessons learned.
• Identify, evaluate, and implement or scope the development of new tools and technologies to enhance discovery, migration, and testing efficiency.
• Collaborate closely with Security teams to ensure all integrated systems meet Anduril's stringent security requirements and policies.
• Partner with Client Engineering teams to ensure seamless integration of acquired client and client-facing technologies and services.
• Provide clear, concise, and opinionated technical guidance, and proactively push back on misaligned proposals to ensure successful technical outcomes.
• Act as a technical authority, mentor, and trusted advisor to engineering teams involved in integration efforts.

REQUIRED QUALIFICATIONS

• Minimum of 9 years of progressive experience in Systems Engineering, Network Engineering, and/or IT Infrastructure roles with a focus on complex, enterprise-scale environments.
• Self-sufficient ability to execute in (technical and non-technical) program management, architecture and hands on engineering capacities.
• Demonstrated expertise in defining and building engineering practices and repeatable processes.
• Proven ability to operate across the entire engineering lifecycle, from strategic discovery and architecture to hands-on execution and hypercare.
• Exceptional ability to communicate complex technical concepts to diverse audiences, including C-suite executives, founders, and engineering teams.
• Deep understanding of modern cloud architectures (AWS, Azure, GCP), hybrid cloud solutions, and on-premises infrastructure.
• Extensive experience with enterprise networking technologies, including routing, switching, firewalls, VPNs, and load balancing.
• Strong knowledge of server virtualization, containerization technologies (e.g., Docker, Kubernetes), and operating systems (Linux, Windows).
• Experience with identity and access management (IAM) solutions, single sign-on (SSO), and multi-factor authentication (MFA).
• Proficiency in scripting and automation for infrastructure deployment and management (e.g., Python, Ansible, Terraform).
• Strong understanding of security principles, best practices, and common vulnerabilities within systems and networks.
• Familiarity with client engineering principles and technologies.
• Proven experience in identifying tooling gaps and either developing solutions or effectively scoping them for development.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to travel for remote deployments and assessments as required.

PREFERRED QUALIFICATIONS

• Experience with infrastructure-as-code (IaC) principles and tools.
• Familiarity with CI/CD pipelines and DevOps methodologies.
• Experience with data center design and operations.
• Experience in the defense technology or highly regulated industries.

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product life cycle, from initial scoping of user requirements, to the architecture of a solution, to the implementation of that solution.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product lifecycle, from initial scoping of user requirements through architecture, implementation, and support.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product life cycle, from initial scoping of user requirements, to the architecture of a solution, to the implementation of that solution.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

Team Overview

The Security Applications & Tools (SAT) team within Lattice Platform Security builds custom software systems that detect, manage, and remediate vulnerabilities across Anduril's product ecosystem at scale. We don't just deploy scanners — we design and build distributed scanning infrastructure, policy enforcement engines, and vulnerability management platforms from the ground up. Our stack includes event-driven architectures on AWS, custom Go services, policy-as-code systems, and integrations that span CI pipelines to production environments.

Job Description

We're looking for a senior software engineer to design and build the systems that keep Anduril's software secure. This is a software engineering role first — you'll architect distributed systems, write production Go and Python, build APIs, and operate services at scale. The domain is security, but the work is building real software: custom scanning orchestration pipelines, policy engines that evaluate thousands of configurations against security rules, and data systems that track vulnerabilities across an entire product ecosystem. If you want to write code that solves hard engineering problems in the security space rather than configure off-the-shelf tools, this is the role.

Key Responsibilities

• Design and build distributed services for vulnerability scanning, policy enforcement, and remediation workflows
• Develop and extend the team's scanning orchestration platform — an event-driven architecture built on AWS (SQS, Lambda, S3, ECR) that processes scan events at org-wide scale
• Build and maintain policy-as-code systems that programmatically enforce security policy in CI/CD pipelines and deployment configurations
• Design APIs and CLIs that integrate security tooling into developer workflows without creating friction
• Develop data pipelines that aggregate, normalize, and route findings from multiple scanning engines into vulnerability management systems
• Collaborate with engineering teams across Anduril to understand their security needs and build tooling that addresses them
• Evaluate third-party security tools and build custom integrations or replacements where needed
• Participate in on-call rotation for security tooling infrastructure

Required Qualifications

• 5+ years of experience designing and developing production software systems
• Strong proficiency in Go — this is the team's primary language for backend services
• Experience building distributed systems or data pipelines (event-driven architectures, message queues, APIs, worker systems)
• Proficiency with Python for scripting, automation, and tooling
• Experience with cloud infrastructure (AWS preferred: Lambda, SQS, S3, ECR, or equivalent)
• Ability to read and understand security tool output (vulnerability reports, SBOMs, static analysis results) and build systems around it
• Strong communication skills with the ability to work across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with CI/CD systems (CircleCI, GitHub Actions) and building integrations for developer workflows
• Familiarity with container security concepts, SBOM generation tools (Syft), and vulnerability scanners (Trivy, Grype, Semgrep)
• Experience with Terraform and infrastructure-as-code
• Experience with policy-as-code frameworks (OPA/Rego, Conftest)
• Background in application security or product security engineering
• Experience with Kubernetes and container orchestration
• Familiarity with Nix build systems

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The work spans cryptographic protocols, operating system hardening, secure boot, hardware security integration, authentication systems, and distributed protocol security across embedded, edge, and cloud environments.

Job Description

We're looking for senior and staff-level software engineers to design and build security solutions across Anduril's product ecosystem. You'll partner directly with business line engineering teams to understand their systems, threat models, and security requirements — then design and implement solutions that range from custom, business-line-specific implementations to shared platform services. The problems you'll work on span the full stack — secure hardware, operating systems, container orchestration, distributed services, and cloud infrastructure — and you'll move between them as the mission demands. We value engineers who are strong generalists: comfortable learning new domains quickly and working across security boundaries rather than specializing in just one.

We're also open to hiring talented software engineers with less security-specific experience, provided they have a strong track record building production software at scale, learn fast, and are motivated to go deep on security.

Key Responsibilities

• Design and implement security features and services for business line products — including custom solutions when platform capabilities don't yet exist
• Identify patterns across business line implementations and promote them into shared, composable platform security services
• Build tooling, libraries, and reference implementations that enable engineering teams to adopt secure patterns independently
• Lead security architecture reviews and threat modeling for business line and platform systems
• Implement cryptographic protocols, key management systems, and certificate infrastructure
• Work across the technology stack: secure hardware (TPM, TEE), operating systems, container orchestration, and application-layer security
• Provide hands-on engineering support to business line teams adopting platform security services
• Collaborate with the Security Applications & Tools team on cross-cutting security infrastructure

Required Qualifications

• 6+ years of experience designing and developing production software in large-scale environments (8+ for Staff level)
• Proficient in at least one of: C++, Rust, or Go
• Strong software engineering fundamentals: you can design, build, and operate complex systems and pick up new domains quickly
• Experience working on security for distributed systems, or demonstrated ability and motivation to develop deep security expertise
• Ability to work directly with product and engineering teams to translate requirements into working implementations
• Comfortable working across multiple problem domains rather than specializing in a single area
• Strong communication skills with proven ability to negotiate and reach consensus across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

Experience or willingness to learn in a subset of the following:

• Designing and implementing secure protocols, APIs, or cryptographic systems
• Integrating secure hardware (TPM, TEE, HSM)
• Operating system security and hardening (Linux)
• Securing Kubernetes deployments and container runtimes
• Embedded systems or robotics security
• Secure cloud architectures (AWS or Azure)
• Performing security architecture reviews and threat modeling

Additionally valuable:

• Proficient in: TypeScript, React, Python
• Experience building shared libraries, SDKs, or platform services consumed by other engineering teams
• Knowledge of cryptographic primitives and best practices (key management, certificate lifecycles, secure key storage)
• Familiarity with compliance frameworks (STIGs, NIST) and translating requirements into engineering controls
• Experience with Nix build systems

ABOUT THE TEAM

The Maritime Application Team sits at the tip of the spear, transforming core platform technology into mission-winning capabilities that deliver a decisive operational edge at sea. We are a specialized software team embedded within the core Lattice Platform, uniquely positioned to accelerate the delivery of mission-critical capabilities for maritime platforms such as the Dive-LD, Dive-XL, Copperhead, and Seabed Sentry. Our role is to take powerful platform primitives—like data management, mission autonomy, simulation, auth, and orchestration—and rapidly forge them into integrated, robust applications for autonomous maritime systems. We act as an incubator for future platform features, ensuring that the solutions we build for today's contracts are the foundation for tomorrow's platform-wide advancements. If you are passionate about building high-impact software that directly supports operators in the field while shaping a next-generation platform, this is your team.

ABOUT THE JOB

As a Software Engineer on the Maritime Application Team, you will be the architect and builder of the software that our maritime operators use every day. You will design and implement the user interfaces, microservices, and data integrations that transform our autonomous underwater vehicles from powerful hardware into intelligent, mission-capable assets. This role requires a product-minded engineer who can operate with ambiguous requirements and translate complex operational needs into elegant, reliable, and scalable software solutions, bridging the gap between core platform infrastructure and real-world maritime challenges.

WHAT YOU'LL DO

• Design, develop, and deploy full-stack applications and services for maritime command and control, including our Lattice UI.
• Build robust, scalable back-end services (e.g., in Go, Rust, Python, C++) to manage mission planning, vehicle tasking, and real-time data processing.
• Develop intuitive and performant front-end interfaces (e.g., in React/TypeScript) that provide operators with at-a-glance situational awareness.
• Integrate specialized maritime data sources, such as electronic navigational charts (ENCs), bathymetry, and acoustic sensor data, by leveraging and extending core platform primitives.
• Collaborate closely with product managers, operators, and others cross functionally in the Software Platform and the Maritime Division to rapidly iterate on features and deliver tangible value.
• Champion best practices in software architecture, code quality, and testing to ensure our systems are reliable in challenging operational environments.
• Mentor other engineers on the team and contribute to the technical strategy for the maritime domain.

REQUIRED QUALIFICATIONS

• 3-5+ years of professional software development experience, with a proven track record of shipping complex, full-stack applications.
• Strong proficiency in one or more modern programming languages such as Go, Rust, Python, or C++, and a willingness to learn new ones.
• Experience building user-facing applications with modern web technologies (e.g., React, TypeScript, gRPC).
• A deep understanding of distributed systems, API design, and data modeling principles.
• Ability to architect solutions for scale, performance, and reliability.
• A bias towards rapid delivery and iteration, extreme ownership, and strong opinions with low ego.
• Must be a U.S. Citizen and eligible to obtain and maintain a U.S. Government clearance.

PREFERRED QUALIFICATIONS

• Experience with Go and/or Rust in a production environment.
• Experience building software for robotics, autonomous systems, or geospatial applications.
• Familiarity with cloud-native technologies (e.g., Kubernetes, Docker) and infrastructure-as-code (e.g., Terraform).
• Experience working with real-time data streams, such as sensor data or vehicle telemetry.
• A passion for creating exceptional user experiences and a keen eye for product design.

ABOUT THE TEAM 

The Software Integration Environment (SIE) team is responsible for managing fleets of Kubernetes clusters, CI/CD pipelines, test environments and external cloud deployments.  We operate the critical infrastructure that enables Anduril to rapidly develop, test, and deploy software capabilities to the warfighter.  As we scale our operations across AWS, Azure, and on-premise environments, we are building a next-generation platform experience that empowers both our internal engineering teams and external customers to deploy and manage complex cloud infrastructure with confidence and speed.

ABOUT THE ROLE

We are looking for a Full-stack UI Developer to join our team and lead the design and development of a new platform experience for the SIE ecosystem.  In this role, you will be the architect of the user-facing layer of our infrastructure platform, building intuitive, powerful interfaces that make complex cloud operations accessible to both internal developers and external customers.  You will design and implement web applications that provide visibility into Kubernetes deployments, orchestrate CI/CD pipelines, manage test environments, and enable self-service infrastructure provisioning. This role requires a product-minded engineer who can translate complex infrastructure concepts into elegant user experiences while being able to assist in delivering the full-stack systems that power them.  If you are passionate about developer experience, data visualization, and building tools that directly impact mission success, this is the role for you.

Key Responsibilities

TECHNICAL IMPLEMENTATION & DESIGN COLLABORATION

• Design and develop full-stack web applications for the SIE platform, including dashboards, management consoles, and configuration interfaces
• Build intuitive, responsive front-end interfaces using modern web technologies (React, TypeScript) that provide at-a-glance visibility into infrastructure health, deployments, and operations
• Develop robust back-end services and APIs (Go) to support the UI layer, integrating with Kubernetes, CI/CD systems, and cloud providers
• Create compelling data visualizations and interactive dashboards that surface metrics, logs, and deployment status across hundreds of environments
• Design user workflows for complex operations like cluster provisioning, application deployment, and environment management that serve both technical and non-technical users
• Collaborate closely with SREs, platform engineers, and external customers to understand pain points and rapidly iterate on features
• Champion UX best practices and advocate for the end-user experience in technical discussions
• Build and maintain design systems and reusable component libraries to ensure consistency across the platform
• Implement observability and monitoring into the UI layer to track user behavior and system health
• Lead the technical direction for front-end architecture, tooling, and development practices on the team

CUSTOMER & STAKEHOLDER ENGAGEMENT

• Collaborate with business lines to scope UI/engineering deliverables
• Support customer meetings and demonstrations, explaining technical capabilities and constraints
• Work with military stakeholders to ensure UI implementations support successful mission outcomes from prototyping through production phases

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Design, or related field; or equivalent industry experience
• 5+ years of professional software development experience with a strong focus on UI/UX development
• Expert-level proficiency in modern JavaScript/TypeScript and React for building production web applications
• Experience building full-stack applications, including back-end API development in languages such as Go, Python, or similar
• Strong understanding of UX principles, design systems, and creating intuitive user experiences for technical products
• Experience with data visualization libraries and techniques for presenting complex information clearly
• Demonstrated ability to own features end-to-end from design through deployment
• Strong communication skills and ability to work effectively with cross-functional teams
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Have a bias for action and taking ownership. You have a track record of solving a problem if you see one.
• Experience maintaining continuous integration systems (CircleCI)
• Experience or interest working in monorepos with modern build systems like Bazel, Buck, Nix, etc. 
• Experience or interest working in Go
• Familiarity with cloud infrastructure concepts (Kubernetes, containers, CI/CD, cloud services)
• Experience with gRPC/protobuf or similar technologies

ABOUT THE TEAM 

The Software Integration Environment (SIE) team is responsible for managing fleets of Kubernetes clusters, CI/CD pipelines, test environments and external cloud deployments.  We operate the critical infrastructure that enables Anduril to rapidly develop, test, and deploy software capabilities to the warfighter.  As we scale our operations across AWS, Azure, and on-premise environments, we are building a next-generation platform experience that empowers both our internal engineering teams and external customers to deploy and manage complex cloud infrastructure with confidence and speed.

ABOUT THE ROLE

We are looking for a Full-stack UI Developer to join our team and lead the design and development of a new platform experience for the SIE ecosystem.  In this role, you will be the architect of the user-facing layer of our infrastructure platform, building intuitive, powerful interfaces that make complex cloud operations accessible to both internal developers and external customers.  You will design and implement web applications that provide visibility into Kubernetes deployments, orchestrate CI/CD pipelines, manage test environments, and enable self-service infrastructure provisioning. This role requires a product-minded engineer who can translate complex infrastructure concepts into elegant user experiences while being able to assist in delivering the full-stack systems that power them.  If you are passionate about developer experience, data visualization, and building tools that directly impact mission success, this is the role for you.

Key Responsibilities

TECHNICAL IMPLEMENTATION & DESIGN COLLABORATION

• Design and develop full-stack web applications for the SIE platform, including dashboards, management consoles, and configuration interfaces
• Build intuitive, responsive front-end interfaces using modern web technologies (React, TypeScript) that provide at-a-glance visibility into infrastructure health, deployments, and operations
• Develop robust back-end services and APIs (Go) to support the UI layer, integrating with Kubernetes, CI/CD systems, and cloud providers
• Create compelling data visualizations and interactive dashboards that surface metrics, logs, and deployment status across hundreds of environments
• Design user workflows for complex operations like cluster provisioning, application deployment, and environment management that serve both technical and non-technical users
• Collaborate closely with SREs, platform engineers, and external customers to understand pain points and rapidly iterate on features
• Champion UX best practices and advocate for the end-user experience in technical discussions
• Build and maintain design systems and reusable component libraries to ensure consistency across the platform
• Implement observability and monitoring into the UI layer to track user behavior and system health
• Lead the technical direction for front-end architecture, tooling, and development practices on the team

CUSTOMER & STAKEHOLDER ENGAGEMENT

• Collaborate with business lines to scope UI/engineering deliverables
• Support customer meetings and demonstrations, explaining technical capabilities and constraints
• Work with military stakeholders to ensure UI implementations support successful mission outcomes from prototyping through production phases

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Design, or related field; or equivalent industry experience
• 5+ years of professional software development experience with a strong focus on UI/UX development
• Expert-level proficiency in modern JavaScript/TypeScript and React for building production web applications
• Experience building full-stack applications, including back-end API development in languages such as Go, Python, or similar
• Strong understanding of UX principles, design systems, and creating intuitive user experiences for technical products
• Experience with data visualization libraries and techniques for presenting complex information clearly
• Demonstrated ability to own features end-to-end from design through deployment
• Strong communication skills and ability to work effectively with cross-functional teams
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Have a bias for action and taking ownership. You have a track record of solving a problem if you see one.
• Experience maintaining continuous integration systems (CircleCI)
• Experience or interest working in monorepos with modern build systems like Bazel, Buck, Nix, etc. 
• Experience or interest working in Go
• Familiarity with cloud infrastructure concepts (Kubernetes, containers, CI/CD, cloud services)
• Experience with gRPC/protobuf or similar technologies

ABOUT THE TEAM:

The Developer Platform team builds the tools and infrastructure that power software development at Anduril. We own the company's primary developer CLI (2,300+ engineers, 93k+ invocations), CI/CD pipelines serving 3,500+ engineers across 23 product lines in the US, Australia, and UK, deployment and release management systems, and Anduril's LLM adoption platform. We are standing up a new agentic development initiative to build the next generation of AI-powered developer infrastructure. The team is growing fast and this is a ground-floor opportunity to define what agentic software development looks like at a company building mission-critical defense systems.

WHAT YOU'LL DO:

• Build multi-agent orchestration infrastructure that moves AI coding agents from individual developer machines to servers executing work autonomously across repositories at company scale
• Design and implement an agent-optimized, real-time knowledge base that gives AI agents deep context on codebases, architecture, and operational patterns
• Build a skills and plugin platform that lets any team encode their domain knowledge into reusable AI capabilities
• Improve CI/CD reliability and developer experience across 23 product lines
• Create release tooling that simplifies shipping software to production environments and robotic platforms
• Operate and evolve Anduril's LLM adoption platform: model rollouts, capacity management, cost attribution, and developer onboarding

REQUIRED QUALIFICATIONS:

• Strong software engineering fundamentals in one or more of: Go, Python, TypeScript
• An entrepreneur, builder, PM, and designer rolled into one. We need people with outstanding software taste who can identify the right problem, design the solution, build it, and ship it in days, not quarters.
• A passion for developer tooling. You notice friction in your own workflow and cannot help but fix it. You spend 4 hours sharpening the axe and 30 minutes chopping wood.
• Demonstrated ability to quickly learn and adapt to unfamiliar technologies across multiple domains
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS:

• Experience building developer tools, CLIs, CI/CD systems, or platform infrastructure
• Experience with Kubernetes, Nix, or cloud infrastructure (AWS/Azure)
• Genuine interest in LLMs and agentic systems as applied to developer productivity. If you are already building with AI coding agents in your daily workflow, you will feel right at home.
• Prior work on LLM integrations, prompt engineering, or agent frameworks

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

ABOUT THE TEAM

The Simulation Integrations team owns the integration of Simulation products into the Lattice ecosystem. We're the bridge between Anduril's high-fidelity simulation engine and the production services that
power Lattice, enabling simulated entities, sensors, and autonomy to participate in the same world as live assets.

ABOUT THE JOB

You will build the foundational service that bridges our high-fidelity robot simulations with our live production services. This is the engine that will power next-generation capabilities, including wargaming and complex live-virtual constructive (LVC) exercises, all while simplifying the provisioning of synthetic environments to enable greater adoption. As a core member of the team, you will have a high degree of ownership over the entire product lifecycle.

Our work spans the full stack, from understanding network infrastructure and kubernetes deployments to building services and crafting database schemas and APIs.

WHAT YOU’LL DO

• Architect, build, and operate a highly-available backend service in Golang
• Own the deployment and management of the service on Kubernetes, containerized with Docker
• Design and implement robust gRPC, and WebSocket APIs for real-time communication between virtual and live systems
• Diagnose and resolve complex issues in a distributed system, especially around latency, availability, and concurrency
• Collaborate on product decisions to shape the future of our simulation platform

REQUIRED QUALIFICATIONS

• Hands-on expertise with Docker and Kubernetes in a production environment
• Strong experience with API design, particularly with gRPC
• Proficiency with databases (e.g., Postgres)
• A proven ability to debug and optimize for performance and availability in distributed systems
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Professional experience building production services in Golang
• Familiarity with maintaining CI/CD infrastructure as well as logging, metrics, and alerting for live services
• A solid grasp of networking fundamentals

ABOUT THE JOB

The Infrastructure Engineering organization is looking for an accomplished Systems Engineer to lead our acquisition integration engineering practice. This pivotal role will own the end-to-end infrastructure engineering lifecycle of integrating newly acquired businesses into Anduril's existing ecosystem. You will be instrumental in defining, executing, and maturing our integration processes, from initial discovery and assessment through migration execution and hypercare. This individual will possess a remarkable dynamic range, capable of engaging effectively with company founders and executives, producing architecture and roadmaps, and rolling up their sleeves to perform hands-on engineering work. A key responsibility will be collaborating with stakeholder teams (Merger & Acquisition program team, Client Engineering, Business systems & Applications) to define and establish our acquisition integration engineering practice, developing repeatable, benchmarked processes that undergo rigorous post-mortem and continuous improvement. You will also identify critical tooling gaps that can expedite discovery, migration, and testing activities, either building these tools yourself or scoping them for peers to deliver. While you will collaborate closely with Security and Client Engineering teams, a strong foundational understanding of these domains is essential, complementing your deep networking and systems engineering expertise.

WHAT YOU'LL DO

• Define, establish, and lead the infrastructure integration engineering practice, setting the technical vision and strategy for integrating new entities and technologies.
• Single threaded ownership of all infrastructure component(s) of acquisition integration from discovery and due diligence through migration execution and hypercare.
• Conduct comprehensive technical assessments of target companies' infrastructure, systems, and operational capabilities, identifying risks and opportunities.
• Develop and present high-level architectural strategies and detailed roadmaps for integrations to executive leadership, founders, and technical teams.
• Design and implement robust, scalable, and secure system architectures for integrated environments, ensuring alignment with Anduril's overall technology strategy.
• Develop and execute detailed migration plans, managing complex technical challenges and dependencies.
• Provide post-migration hypercare support, ensuring a smooth transition and stabilization of integrated systems.
• Define, document, and continuously improve repeatable processes to accelerate acquisition integration, establishing benchmarks, conducting post-mortems, and implementing lessons learned.
• Identify, evaluate, and implement or scope the development of new tools and technologies to enhance discovery, migration, and testing efficiency.
• Collaborate closely with Security teams to ensure all integrated systems meet Anduril's stringent security requirements and policies.
• Partner with Client Engineering teams to ensure seamless integration of acquired client and client-facing technologies and services.
• Provide clear, concise, and opinionated technical guidance, and proactively push back on misaligned proposals to ensure successful technical outcomes.
• Act as a technical authority, mentor, and trusted advisor to engineering teams involved in integration efforts.

REQUIRED QUALIFICATIONS

• Minimum of 9 years of progressive experience in Systems Engineering, Network Engineering, and/or IT Infrastructure roles with a focus on complex, enterprise-scale environments.
• Self-sufficient ability to execute in (technical and non-technical) program management, architecture and hands on engineering capacities.
• Demonstrated expertise in defining and building engineering practices and repeatable processes.
• Proven ability to operate across the entire engineering lifecycle, from strategic discovery and architecture to hands-on execution and hypercare.
• Exceptional ability to communicate complex technical concepts to diverse audiences, including C-suite executives, founders, and engineering teams.
• Deep understanding of modern cloud architectures (AWS, Azure, GCP), hybrid cloud solutions, and on-premises infrastructure.
• Extensive experience with enterprise networking technologies, including routing, switching, firewalls, VPNs, and load balancing.
• Strong knowledge of server virtualization, containerization technologies (e.g., Docker, Kubernetes), and operating systems (Linux, Windows).
• Experience with identity and access management (IAM) solutions, single sign-on (SSO), and multi-factor authentication (MFA).
• Proficiency in scripting and automation for infrastructure deployment and management (e.g., Python, Ansible, Terraform).
• Strong understanding of security principles, best practices, and common vulnerabilities within systems and networks.
• Familiarity with client engineering principles and technologies.
• Proven experience in identifying tooling gaps and either developing solutions or effectively scoping them for development.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to travel for remote deployments and assessments as required.

PREFERRED QUALIFICATIONS

• Experience with infrastructure-as-code (IaC) principles and tools.
• Familiarity with CI/CD pipelines and DevOps methodologies.
• Experience with data center design and operations.
• Experience in the defense technology or highly regulated industries.

ABOUT THE TEAM

ABOUT THE JOB

WHAT YOU’LL DO

• Work on our developer portal to enhance partner engagement and streamline the integration process
• Develop infrastructure to simplify the exposure of APIs and SDKs for external developers.
• Build and maintain sample applications, SDKs, and technical frameworks that enable partners to implement sophisticated solutions.
• Provide technical leadership during partner onboarding, guiding their engineering teams through complex integration scenarios.
• Create proof-of-concept applications and reference architectures that demonstrate advanced Lattice capabilities and integration patterns.
• Collaborate with engineering teams to influence the platform roadmap based on real-world implementation challenges.
• Conduct technical reviews of partner architectures and provide recommendations for optimization and scalability.
• Troubleshoot complex integration issues and provide hands-on technical support for mission-critical deployments.
• Evangelize best practices for building resilient, secure, and performant applications on the Lattice platform.

REQUIRED QUALIFICATIONS

• 5+ years of experience as a Senior Software Engineer with customer-facing responsibilities.
• Strong programming experience in multiple languages (Python, Java, Go, C++, or similar) with demonstrated ability to build production-grade applications.
• Deep expertise in distributed systems architecture, including microservices, event-driven architectures, and API gateway patterns.
• Experience with CI/CD pipelines, infrastructure as code, and DevOps practices.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Proven track record of designing and implementing complex system integrations in enterprise environments.
• Experience with API technologies including REST, gRPC, GraphQL, and real-time communication protocols (WebSockets, message queues).
• Strong understanding of security patterns, authentication/authorization frameworks, and data protection in distributed systems.
• Excellent technical communication skills with the ability to present complex architectural concepts to both technical and non-technical stakeholders.
• Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

PREFERRED QUALIFICATIONS

• Experience architecting solutions for defense, aerospace, or other mission-critical industries.
• Background in edge computing, IoT architectures, or real-time data processing systems.
• Knowledge of air-gapped environments, offline-first architectures, and high-availability system design.
• Open source contributions to architectural frameworks or developer tools.
• Experience mentoring engineering teams and leading technical design reviews.
• Advanced degree in Computer Science, Engineering, or related technical field.

About the Role:

We're looking for an experienced engineer with deep expertise in distributed data systems to shape the future of Gusto's storage layer. You'll manage complex migrations, architect high-scale systems, and set standards for automation, resiliency, and security. This is a high-impact role where you'll implement distributed database solutions that enable Gusto's continued growth and scale.

About the Team:

The Datastores Infrastructure Engineering team designs, builds, and operates the data platforms that power Gusto's product: MySQL, Postgres, Redis, Kafka, and S3. We ensure our infrastructure is consistent, reliable, and ready to support Gusto's growing needs. As we transition to self-hosted distributed databases, the team is focused on reducing blast radius, improving operational resilience, and enabling sustainable scale.

Here’s what you’ll do day-to-day:

• Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence
• Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services
• Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management
• Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems
• Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions
• Partner with product engineering teams and technical collaborators to enable rapid and reliable product development
• Mentor engineers across the Datastores Infrastructure team on best practices for operating complex, self-hosted distributed systems, actively developing our collective operational expertise

Here’s what we're looking for:

• 12+ years of software engineering experience building and scaling large-scale infrastructure systems
• Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)
• Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
• Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
• 5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale
• Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams
• Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in  query optimization, performance evaluation, and infrastructure automation
• Bonus: Experience with service extraction and vertical sharding from monolithic architectures
• Bonus: Experience working with Ruby on Rails or similar MVC frameworks at scale

Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

The Role

We are looking for an experienced Senior Software Engineer to join our Engineering Enablement (Builder Tools) engineering team with a mission to enable SoFi engineers to innovate in fintech and elegantly solve problems. In this role, you will be a key contributor to the design, development and scalability of our developer productivity tooling. You will elevate developer experience by enabling engineers with foundational systems. You will take on complex and interesting problems in a fast-paced, and highly collaborative organization. The ideal candidate will be a deeply technical and curious engineer who is comfortable owning solutions from initial design to implementation and ongoing operational excellence, with a strong sense of ownership and passion for quality. 
 

What You’ll Do:

• Technical leadership - Provide leadership for the technical design, delivery and operational excellence of code, build, CI/CD platforms, and related developer tooling.

• Innovate - Collaborate with cross-functional teams to drive innovation in developer tooling, and advancements including AI assisted developer productivity flows.

• Expertise  - Become a subject matter expert for one or more developer tooling domains,  including operational excellence aspects. 

• Mentor - Collaborate with engineers in the team, provide mentorship, and share domain  expertise to enhance the overall technical capabilities of the team.

• Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks.

• Collaborate – Build strong working relationships with coworkers and cross-organizational teams.

• Influence - Implement and influence the adoption of developer tooling and best practices.

What You’ll Need:

• Experience - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

• 5+ years software development experience.

• Experience developing in a cloud environment (AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies and service meshes (e.g., Istio, Envoy). 

• Expertise -  Expertise in one more of the following domains: build systems for JVM ecosystem (e.g., Gradle, Bazel), AI assisted developer tools (e.g., CoPilot, Amazon Q),  and CI/CD systems (e.g., ArgoCD, Gitlab Runners, BuildKite).

• Coding Skills - Proven coding skills (e.g., Java, Kotlin, Python) delivering large scale systems with infrastructure automation (e.g., Terraform).

• Problem solving -  Strong problem solving and programming fundamentals (algorithms, data structures).

• Design - Strong understanding of software design principles, and distributed systems architecture.

• Project Ownership - Ability to independently plan, manage and own deliverables, from scoping through launch. Experience working with Agile development processes.

• AI Tools: Experience with AI Tools (Cursor, Claude Code, MCPs etc.)

• Strong Interpersonal  skills - Excellent written and verbal communication skills. Demonstrated ability to collaborate well with a team, and proven skills to operate effectively in cross-functional teams. 

Nice to have:

• Experience with monitoring, tracing and logging systems (e.g. Datadog, Elastic, Splunk).

• Experience with security, compliance, and risk management in cloud and fintech environments.