ABOUT THE TEAM

Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.

ABOUT THE JOB

WHAT YOU’LL DO

• Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
• Architect and implement defensive security controls for cloud, production, and corporate environments
• Support the deployment, configuration, and maintenance of security tools
• Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
• Independently drive security initiatives and foster a security-first mindset across the organization
• Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design

REQUIRED QUALIFICATIONS

• Experience with routing, switching, and network design principles
• Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
• Experience conducting security architecture or design reviews for OT/ICS environments
• Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
• Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
• Experience developing and implementing defensive controls in corporate and industrial production environments
• Ability to work autonomously and take ownership of complex projects
• Have participated in or supported incident response events
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Ability to travel up to 50%

PREFERRED QUALIFICATIONS

• Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
• Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
• Experience building bespoke solutions in high-growth high-complexity network environments
• Strong experience with Linux operating systems

ABOUT THE TEAM

Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.

ABOUT THE JOB

WHAT YOU’LL DO

• Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
• Architect and implement defensive security controls for cloud, production, and corporate environments
• Support the deployment, configuration, and maintenance of security tools
• Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
• Independently drive security initiatives and foster a security-first mindset across the organization
• Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design

REQUIRED QUALIFICATIONS

• Experience with routing, switching, and network design principles
• Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
• Experience conducting security architecture or design reviews for OT/ICS environments
• Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
• Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
• Experience developing and implementing defensive controls in corporate and industrial production environments
• Ability to work autonomously and take ownership of complex projects
• Have participated in or supported incident response events
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Ability to travel up to 50%

PREFERRED QUALIFICATIONS

• Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
• Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
• Experience building bespoke solutions in high-growth high-complexity network environments
• Strong experience with Linux operating systems

ABOUT THE TEAM

Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.

ABOUT THE JOB

WHAT YOU’LL DO

• Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
• Architect and implement defensive security controls for cloud, production, and corporate environments
• Support the deployment, configuration, and maintenance of security tools
• Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
• Independently drive security initiatives and foster a security-first mindset across the organization
• Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design

REQUIRED QUALIFICATIONS

• Experience with routing, switching, and network design principles
• Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
• Experience conducting security architecture or design reviews for OT/ICS environments
• Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
• Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
• Experience developing and implementing defensive controls in corporate and industrial production environments
• Ability to work autonomously and take ownership of complex projects
• Have participated in or supported incident response events
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Ability to travel up to 50%

PREFERRED QUALIFICATIONS

• Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
• Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
• Experience building bespoke solutions in high-growth high-complexity network environments
• Strong experience with Linux operating systems

ABOUT THE TEAM

Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.

ABOUT THE JOB

WHAT YOU’LL DO

• Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
• Architect and implement defensive security controls for cloud, production, and corporate environments
• Support the deployment, configuration, and maintenance of security tools
• Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
• Independently drive security initiatives and foster a security-first mindset across the organization
• Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design

REQUIRED QUALIFICATIONS

• Experience with routing, switching, and network design principles
• Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
• Experience conducting security architecture or design reviews for OT/ICS environments
• Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
• Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
• Experience developing and implementing defensive controls in corporate and industrial production environments
• Ability to work autonomously and take ownership of complex projects
• Have participated in or supported incident response events
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Ability to travel up to 50%

PREFERRED QUALIFICATIONS

• Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
• Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
• Experience building bespoke solutions in high-growth high-complexity network environments
• Strong experience with Linux operating systems

Undead Labs has an opportunity for a Senior UI Engineer II to bring their experience and technical skills to State of Decay 3. The State of Decay franchise has attracted a loyal fanbase of millions of players, and you’ll play a key role in delivering the next installment of our story for them to enjoy.

As a senior member of the team, you will work with a team of UI engineers to design and implement high-quality UI for the game, and influence our processes and practices to continually raise our quality bar. Your skills in software development, debugging, design, and documenting engineering practices will be critical to your success. You’ll tackle complex software engineering problems, lead by example, and support other engineers through teamwork and mentorship in our shared goal of creating an amazing product.

At Undead Labs, we work in highly collaborative, cross-disciplinary teams because we understand that the best ideas are ones we generate together. Our studio operates independently within a network of first-party Microsoft studios. Please note: This position is based in Seattle, WA and follows a hybrid work model, with a minimum of 3 in-studio days per week.

Core Responsibilities and Objectives

• Work collaboratively with your colleagues to prototype, iterate on, and deliver a quality UI solution
• Build custom design and asset pipelines to streamline UI authoring and design/engineering handoffs
• Contribute to the core UI framework and help establish best practices around UI concerns like localization, accessibility, input management, data-binding, and more
• Address UI performance by improving render cost, minimizing memory footprint, JavaScript execution overhead, and more
• Apply your knowledge, critical thinking skills, unique perspective, and ideas to the production of our games. 
• Be proactive in tackling technical issues.
• Provide mentorship to other developers and help shape team-wide development practices and standards to ensure the team delivers high-quality work.

Basic Qualifications

• Shipped at least one title
• Strong HTML/CSS/JS skills, with experience in large-scale or complex applications
• Excellent problem-solving skills and adaptability to changing requirements
• Passionate about developer experience and workflows, with a desire to improve how UI is created
• Pragmatic, with the ability to balance technical needs with business limitations
• Communicate effectively with stakeholders and across disciplines
• 6+ years of experience developing game UI, or equivalent demonstrable experience
• Working knowledge of Unreal Engine (4 or 5, 5 preferred)

Preferred Experience

• Experience with Coherent Gameface
• Experience supporting a live service title
• Experience with Svelte UI framework

Benefits & Perks

Benefits/perks listed below may vary depending on the nature of your employment with Undead Labs and the state in which you work.

• Medical, dental, and vision health insurance (Dependents and partners included).
• Unlimited PTO and 18 company holidays & closure days
• 401k plan with 50% matching
• Subsidized transportation to and from work
• Professional growth resources
• Discounts on the Microsoft Games store

The typical base pay range for this role across the U.S. is USD $180,000.00 - $215,000.00 per year.

The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base range will depend on various factors, such as complexity and responsibility of the role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.

At Undead Labs, certain roles are eligible for additional rewards, including merit increases and an annual bonus. These awards are allocated based on individual performance. Benefits/perks listed here may vary depending on the nature of employment with Undead Labs.

Physical Requirements

Reasonable accommodations can be made to enable individuals with disabilities to perform essential functions.

• Close vision to monitors and screens, consistently working on computer equipment such as keyboards and monitors, long periods of sitting.
• Noise levels are low to moderate in the work environment.

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

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

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

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: 1263064630

As a Electrical Engineer, Edge Compute at Carbon Robotics be a key part of the team that designs and manages the distributed computing infrastructure that is the heart of our robots. You are responsible for the specification, design, vendor management, integration, and thermal/electrical management of the compute and network clusters. You’ll ensure our mobile platforms can survive the harsh vibrations, dust, and heat of the farm while maintaining peak processing performance. You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.

What you’ll do:

• Work in a fast-paced, multi-disciplinary team to design revolutionary products
• Own the specification, design/selection, qualification and integration of high-performance compute and network modules.
• Lead testing of compute and networking hardware through environmental, power quality, and EMI/EMC qualification campaigns. 
• Interface with hardware vendors to source components, define assembly work instructions, and ensure quality of compute assemblies.  
• Quickly prototype, troubleshoot, and iterate solutions for electrical signaling issues, PCIe/USB/Ethernet bottlenecks, and hardware-level failures in the field

Knowledge, Skills, and Abilities for Success:

• 5+ years experience as an Electrical Engineer 
• Experience designing production embedded hardware, with at least one full carrier board or SoM-based design taken to volume manufacturing
• Experience with PCIe Gen3/4, MIPI CSI-2, USB 3.x, and DDR4/LPDDR5 design and testing
• Significant experience designing compute systems for harsh outdoor environments with intermittent connectivity
• Experience with Altium Designer
• Experience with low-level Linux systems, including driver configuration, device trees, and board support packages (BSP) is a plus
• Experience with SolidWorks is a plus

• Experience with Jira is a plus
• Hands on experience in hardware debug and automated verification
• Demonstrated ability to work with a team to achieve timely objectives
• Awareness of industry standards and regulations (SAE, ISO, IPC, etc.)
• Effective verbal and written communication skills and a desire to work in multidisciplinary teams
• BS+ in Electrical Engineering, Mechanical Engineering or related field

Who we are

About Bridge

Bridge is Stripe’s fintech innovation hub focused on building a modern, stablecoin-powered cross-border payments network. We operate like a startup within Stripe: fast-paced, entrepreneurial, and product-obsessed, but with the backing of one of the most trusted names in fintech.

We’re hiring a Security Engineer to build and scale Bridge’s security foundation. This is a rare opportunity to design a security program from the ground up, while also leveraging the infrastructure, best practices, and tooling of one of the most mature security organizations in the industry.

What you’ll do

Responsibilities

• Design, and implement Bridge’s security roadmap from first principles to production.
• Identify and tackle Bridge’s most important security risks quickly and pragmatically.
• Integrate with Stripe’s infrastructure where it makes sense, and find custom solutions where it doesn’t.
• Lead threat modeling and hardening efforts for Bridge’s money movement systems in collaboration with crypto and infra teams.
• Build key security capabilities (monitoring, secrets management, incident response, access controls, CI/CD hardening, etc).
• Reinforce engineering best practices around secure development and infrastructure.
• Ensure Bridge meets compliance and audit expectations as we scale to more regulated markets.
• Collaborate cross-functionally with engineering, product, and Stripe’s security org to move fast without compromising safety.

About you

You might be a good fit if you:

• Have 8+ years of experience in Security engineering, ideally with time spent in fast-paced startup environments where you’ve built security practices from the ground up.
• Have a startup mindset: you’re scrappy, pragmatic, and move quickly to solve the most critical problems.
• Are comfortable writing and debugging backend application code (Ruby is a plus, but not required).
• Thrive in ambiguity and know how to ruthlessly prioritize.
• Can balance security rigor with speed, especially in fast-moving environments.
• Communicate clearly across technical and non-technical partners.
• Have experience building or scaling security programs, either at a startup or in an embedded role.
• Are excited about the potential of crypto and stablecoins to power global financial infrastructure (you don’t need deep prior knowledge—just curiosity and openness to learn).

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

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

About the role

We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.

You may be a good fit if you:

• Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
• Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
• Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
• Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
• Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
• TypeScript or Rust, and agentic coding tools such as Claude Code

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 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 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

Anduril Engineers in the Connected Warfare (CW) Division work across disciplines to build, deploy, integrate, extend, and scale Anduril's software and hardware systems to deliver mission-critical capabilities to our customers at the tactical edge. As the engineers closest to customers/end-users, ECC Tactical Network Engineers are designed to solve technical challenges of operational scenarios while owning the end-to-end delivery of new capabilities from zero to one.

As a Tactical Network Engineer on the Edge Compute and Comms (ECC) Engineering team, you will combine industry-leading commercial communications technologies with legacy military radio systems to rapidly prototype and create new products and solutions to address a wide variety of customer problems involving software, hardware, networking, autonomy/robotics, systems integration, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril and third-party products seamlessly work together to achieve a variety of critical outcomes.

Above all, ECC Engineers are driven by a "Whatever It Takes" mindset—executing in an expedient, scalable, and methodical way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality. You will work on new technology introduction and enhancing products like the Menace Family of Systems to bring integrated C4 (Compute, Comms, Command, and Control) capabilities to the tactical edge.

Our C4 systems must function in highly dynamic and adversarial DDIL (Denied, Degraded, Intermittent, Limited) environments where nodes have varying states of link quality & availability, have frequently changing network topologies and are under constant threat of interference ranging from electronic warfare to physical destruction. In addition, our assets are deployed to austere combat zones which do not have the well-developed network infrastructure which most network solutions rely on. Our challenge is to provide networking software and hardware systems that provide reliability, resilience, speed and security in these challenging environments.

WHAT YOU’LL DO

• Integrate emerging networking capabilities, bringing new hardware and software products into the Menace family of systems
• Contribute to networking requirements decomposition across cross-functional teams, helping define success in the face of ambiguity
• Design network topologies and configurations decomposed from complex design reference missions (DRMs) involving large scale unmanned systems and forward-deployed C2 systems
• Design, implement, deploy, and troubleshoot system networking solutions focused on Layer-1 (Physical), Layer-2 (Data), Layer-3 (Network), and Layer-4 (Transport) of the Open Systems Interconnection (OSI) reference model, and that meet and exceed industry-standard security goals
• Own systems end to end with the ability to identify and solve networking problems between the seams, scrutinize system performance, make tradeoffs, and deliver an outcome
• Perform trade-off studies of different comms and networking solutions including government provided technologies
• Build robust tooling for benchmarking and analyzing network traffic
• Analyze test network infrastructure, develop recommendations, and implement improvements for network reliability and throughput for edge network
• Collaborate extensively with software engineers to build a representative modeling and simulation environment including hardware-in-the-loop lab infrastructure
• Analyze network packet data to identify anomalous behavior, potential security threats, and communication inefficiencies across diverse tactical network deployments

REQUIRED QUALIFICATIONS

• Must possess an active U.S. security clearance, secret or higher
• 5+ years of hands-on experience in tactical networking or related fields
• Understanding of empirical testing criteria leveraging both quantitative and qualitative criteria for trade study and hardware/software analysis.
• Experience applying engineering standards to engineering processes or requirements
• 2-5 years expertise in tactical LOS and BLOS RF systems
• 3+ years experience with ad-hoc mesh networking, secure communication protocols (IPSec/MACSec, etc), software-defined networking, internet protocols (TCP/IP, DNS, etc), and routing protocols
• Experience with commercial SDWAN solutions
• Demonstrated experience collaborating across cross-functional teams.
• Comfortable working with ambiguity, evolving priorities, and challenging problems
• Excellent communication and presentation skills
• Experience with mesh networking radios
• Experience with network modeling and simulation tools and frameworks
• Must be willing to travel for test field events up to 40%
• Experience with network traffic analysis tools and PCAP analysis (e.g., Wireshark, tcpdump, NetworkMiner)
• Proficiency in analyzing network protocols and packet structures to diagnose communication issues in tactical environments

PREFERRED QUALIFICATIONS

• Expertise in these specific tactical ship-to-ship and ship-to-shore comms
  • SatCom
  • VHF + UHF
  • LPI/LPD and anti-jamming
  • MIMO
  • Antenna theory
• Expertise in Cloud Networking
• Expertise in Cybersecurity
• 3+ years experience with programming languages such as Python, C/C++, or Rust for analysis and simulation
• Experience with electronic warfare (EW) technologies
• Experience with spectrum management and deconfliction
• Experience developing custom PCAP analysis tools or scripts for specialized network environments

ABOUT THE TEAM

Anduril's TRS Simulation team owns the ecosystem, frameworks, and guidance that make simulation possible, repeatable, and scalable across the Tactical Recon & Strike business line. We don't just run sims, we define what it means for a simulation to be trustworthy. Our team operates across four pillars: Sim Infrastructure, Sim Fidelity, Sim Integrations, and Training Simulations, supporting products like Altius, Ghost, Bolt, and Anvil from early development through field deployment. Every fidelity improvement, every validated model, and every simulation environment we deliver directly determines whether autonomous systems are ready to fly real missions.

Our vision is one simulation framework that serves every product and every deployment target, from a developer's laptop through CI pipelines, operator training environments, and large-scale HPC Monte Carlo campaigns. The same declarative workspace definition can be composed, extended, and deployed wherever simulation is needed, so teams spend their time on mission problems instead of reinventing infrastructure.

THE ROLE

This role is for a versatile engineer who thrives in a fast-paced, cross-functional environment with a different challenge every day. The Sim Integrations sub-team is the connective tissue between the simulation platform and the programs that depend on it. You'll take program simulation requirements, understand the delta against existing capabilities, build clear action plans, and own those plans to completion, including responsibility for positive customer and program feedback. The work moves fast and the priorities are real, but so is the impact: the simulation environments you deliver directly enable teams to develop, validate, and field autonomous systems.

You'll work across the full breadth of TRS products and programs, interfacing with program managers, autonomy engineers, systems engineers, operators, and customers. No two weeks look the same: one week you might be standing up a new simulation environment for a field exercise, the next you're debugging a network configuration across a distributed sim, and the next you're wrangling integration issues across multiple program deliverables. You will own your solutions from design through delivery and long-term maintenance, with the support and collaboration of our team behind you. If you're a jack-of-all-trades who loves thinking on your feet and making other teams successful, this is your role.

WHAT YOU'LL DO

• Serve as the primary simulation point of contact for TRS programs, translating program-specific simulation requirements into actionable technical plans and owning delivery end-to-end.
• Identify deltas between existing simulation capabilities and program needs, then coordinate across Sim Infrastructure, Sim Fidelity, and functional engineering teams to close those gaps.
• Configure, extend, and validate simulation environments across the full stack, from autonomy and sensor configurations to networking and deployment infrastructure.
• Support field events, customer demos, and program milestone deliverables with hands-on simulation expertise and rapid troubleshooting.
• Collaborate with program managers and systems engineers to align simulation fidelity levels with program priorities, using our team's fidelity rubric to drive investment where it has the most impact.
• Develop reusable patterns and documentation so that program-specific solutions feed back into the platform and reduce the cost of the next integration.
• At the senior level: manage the portfolio of active program simulation engagements, drive cross-program prioritization, and mentor other engineers on integration best practices.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 3+ years of professional software engineering experience in an industry setting, with hands-on delivery of software to internal or external customers.
• Proficiency across multiple programming languages (C++, Python, Bash) with the versatility to pick up whatever the problem demands.
• Strong Linux/Unix fundamentals: comfortable navigating systems, debugging across layers of the stack, and working in terminal-driven workflows.
• Working understanding of networking concepts (protocols, routing, network debugging) sufficient to troubleshoot distributed simulation environments.
• Comfortable with the professional software development lifecycle from start to finish.
• Experience working directly with customers, program teams, or stakeholders to translate requirements into delivered capabilities.
• Demonstrated ability to manage multiple concurrent workstreams, prioritize effectively, and deliver under real deadlines.
• 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.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Additional for Senior candidates:

• 5+ years of professional software engineering experience.
• Experience managing a portfolio of deliverables across multiple programs or customers simultaneously.
• Track record of mentoring engineers and establishing repeatable processes that scale beyond a single person.

PREFERRED QUALIFICATIONS

• Experience with simulation frameworks, real-time systems, or robotics platforms.
• Experience with modern build and deployment tooling (Nix, Docker, CI/CD systems).
• Experience with NixOS or declarative system configuration.
• Familiarity with field deployment, customer demos, or operational support for software systems.
• Experience creating or maintaining software-in-the-loop (SITL) test environments.
• Ability to context-switch effectively across diverse technical domains without losing quality.
• A bias toward rapid delivery and iteration.

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

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

The Tactical Recon and Strike (TRS) team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.

As a Staff Software Engineer - Security , you will take ownership of and enhance the security roadmap for TRS products and software services, working closely with engineering teams to create solutions that not only meet but exceed industry-standard security goals. You will engage with various teams to identify and remediate vulnerabilities in designs, implementations, integrations, and processes, while also designing and developing security software for embedded systems. The ideal candidate will possess a strong background in software engineering with a focus on platform security, enabling them to conduct complex security architecture reviews, research and mitigate exploits targeting hardware and software, and implement critical features in collaboration with engineering teams to build resilient products.

*This position will be located in our Costa Mesa CA, Seattle WA, or Atlanta GA location. We offer full relocation benefits if necessary.

WHAT YOU’LL DO

• Own the development and maturation of TRS products and software services security roadmap.
• Collaborate and build solutions with engineering teams to meet and exceed industry-standard security goals
• Engage with teams to remediate uncovered weakness in designs, implementations, integrations, and processes
• Design and Develop embedded system security software

REQUIRED QUALIFICATIONS

• Strategic vision and technical depth, maintaining active involvement in security architecture and implementation
• Proficient with one or more programming languages (e.g. C/C++, Rust, Python)
• Experience assessing security of firmware, applications, network, IoT, or embedded systems
• Experience developing features for and improving security of firmware, applications, network, or embedded systems
• Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems
• Familiarity with anti-tamper and reverse engineering mechanisms
• Experience in Platform security engineering and secure SDLC implementation
• Strong and professional communication skills (written and verbal)
• Demonstrated commitment to practical, mission-enabling security solutions
• Must be eligible to obtain and maintain a US TS clearance

PREFERRED QUALIFICATIONS

• Familiarity with security architectures of embedded, aerospace, or cyber-physical systems
• Experience with programmable logic devices and their development tools
• Knowledge of cyber threat actors, their TTPs, and their implications for weapon and space system operations
• Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems
• Experience conducting incident response in cloud systems and embedded systems

ABOUT THE TEAM

We're seeking a Senior Threat and Attack Research Engineer to join our Security organization. The ideal candidate will combine threat intelligence knowledge with strong engineering skills to develop and implement advanced threat actor tracking and analsyis systems to protect Anduril products and infrastructure.

WHAT YOU’LL DO

• Monitor and analyze sophisticated cyber threats targeting Anduril's products, infrastructure, and personnel.
• Research, mitigate, and anticipate emerging technical trends in the threat landscape.
• Collaborate closely with the detection and response team to provide timely and actionable intelligence to support ongoing investigations.
• Engage cross functionally with the offensive security team on product and infrastructure red team engagements.
• Enhance tooling for threat actor tracking and intelligence data integration.
• Foster proactive collaboration and information exchange with external partners to build joint capabilities and achieve shared objectives.

REQUIRED QUALIFICATIONS

• Proven experience analyzing complex threat actor campaigns, including supply chain and infrastructure, with the ability to develop long term countermeasures.
• Proficiency in one or more programming languages (e.g. Python, Rust, Golang, Swift)
• Capacity to prioritize and execute tasks independently with minimal supervision.
• Strong and professional communication skills (written and verbal)
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• In-depth knowledge of nation-state, sophisticated criminal, or supply chain threats.
• Experience creating file-based or network-based rules and signatures (e.g. YARA, Snort) for detection and tracking complex threats.
• Track record of writing production code for threat intelligence tools
• Expertise in large scale data analysis
• Established connection within the broader security and threat intel community
• Strong analytical and problem-solving capabilities.
• Demonstrated ability to work effectively in team environments.
• Experience with Vertex Synapse

ABOUT THE TEAM

A Connected Warfare SRE - System Deployment deploys and maintains Anduril’s hardware and software to deliver mission critical capabilities to our customers. System Deployment Engineers work in complex environments with shared environmental responsibility with our customers. They navigate the ambiguous landscape with efficiency to deliver the right customer outcomes. 

WHAT YOU’LL DO

• Enable network expansion through installation of both hardware and software in support of Anduril customer missions
• Troubleshoot complex installation issues, driving short term resolution and identifying long term solutions
• Be familiar with Anduril system capabilities as a data and applications platform and be able to educate customers
• Participate in customer demonstrations and exercises
• Work with site reliability engineers to provide and refine requirements for tooling and systems to support customer outcomes
• Work with mission software engineers to ensure supportability of custom system integrations
• Identify and document opportunities for system improvements

REQUIRED QUALIFICATIONS:

• Active US TS security clearance with SCI eligibility
• STEM degree or equivalent technical experience
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Willingness to travel 40%-50%
• Minimum 4 years of operations and engineering experience

PREFERRED QUALIFICATIONS

• Comfort with operating independently in isolated, austere, and dynamic environments while being the sole representative of Anduril
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across network enclaves
• Extensive hands-on field operations and systems administration experience
• Administration experience in networking, storage, and operating systems
• Demonstrated ability to solve problems in ambiguous environments to enable customer mission success
• Experience working with cross-functional engineering teams and external customers
• Experience performing data-driven root cause analysis on complex systems
• Excellent written and verbal communication skills
• Hold a DoD 8570 IAT Level 2+ certification
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, hardware design, and/or cybersecurity

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 TEAM

The Maritime App team builds the full-stack web application (part of Lattice OS) used to control all of Anduril’s Maritime products (Dive-LD, Dive-XL, Copperhead, Seabed Sentry, ASV, and more) from nodes in the cloud and laptops in the field. We bring together all the advanced tech from Anduril’s Software Platform into a hardened Maritime-focused software stack that’s shipped along with our autonomous maritime robots. We’re a full-stack web application team building a slick, modern, map-focused React frontend with a Go backend. We leverage Anduril’s proprietary mesh networking and distributed storage tech to keep Lattice working smoothly even in extreme network conditions (there’s no wifi underwater).

ABOUT THE JOB

We’re looking for an experienced frontend/full-stack engineer to shape the future of our web app architecture and infrastructure. Lattice for Maritime is only a couple years old and has a lot of exciting capabilities to build over the coming years! You will lead us in continuously evolving our architecture and best practices to ensure your teammates can continue to build performant and reliable features efficiently. This role requires a solid foundation in web technologies, managing large React codebases, optimizing runtime and build performance, and optimizing communication with the backend.

If you're a collaborative problem-solver who finds satisfaction in creating tools that amplify the effectiveness of other engineers, we want to talk to you.

WHAT YOU’LL DO

• Design and implement architectural patterns, tools, and best practices for building components, pages, services, and apps
• Proactively identify pain points and opportunities to improve our dev experience and infrastructure
• Work across the stack (front-end, back-end, build, CI/CD) to get things done
• Support and mentor fellow engineers on engineering best practices, and on how to best use our tools
• Lead the creation of net-new apps and/or break our app down into more focused experiences
• Harden our component library to work more seamlessly with our design system
• Evolve our use of libraries (e.g. for mapping, charting, logging) to increase performance, maintainability, and usefulness. And make them really really ridiculously good looking.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science or related field; or equivalent industry experience
• Experience building production web applications in JavaScript or TypeScript (we use TypeScript and React)
• Experience designing architectural patterns, tooling, or best practices, and leading engineering teams in adopting them
• Experience effectively integrating tools and libraries (build systems, component libraries, testing frameworks, monitoring) into frontend codebases and CI/CD pipelines
• Familiarity with modern backend programming languages such as Go, C++, or Rust.
• High empathy for your fellow engineers and users
• Minimum 5 years of software engineering experience
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

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 (we use CircleCI)
• Experience or interest working in monorepos with modern build systems
• Experience or interest working in Go
• Experience with gRPC/protobuf or similar technologies
• Experience with NixOS
• Experience designing effective/reliable use of AI agents to augment software development teams

ABOUT THE TEAM

We're seeking a product security engineer to own security for assigned products in your technical domain, provide expert consultation on security architectures, guide implementation of security features, develop solutions engineering for complex security challenges, and ultimately secure our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long range sensors.

The ideal candidate has a background in electrical or software engineering, with a focus on platform security, or has pivoted to a product or application security role. They will be able to conduct complex security architecture reviews, research and mitigate exploits against hardware and software, and work with other engineering teams to build resiliency into our products.

ABOUT THE JOB

WHAT YOU’LL DO

• Owns the development and maturation of security features for Anduril’s products
• Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals
• Collaborate with security assessment teams to assess Anduril’s products and integrated components to uncover potential weaknesses
• Collaborates with manufacturing and operations teams to develop secure handling and operational processes
• Engages with teams to remediate uncovered weakness in designs, implementations, integrations, and processes

REQUIRED QUALIFICATIONS

• Experience with one or more programming languages (e.g. C/C++, Golang, Rust, Python)
• Experience assessing security of firmware, applications, network, IoT, or embedded systems
• Experience developing features for and improving security of firmware, applications, network, or embedded systems
• Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems
• Familiarity with anti-tamper and reverse engineering mechanisms
• Strong and professional communication skills (written and verbal)
• Strong understanding of the "why" behind product, systems, and security design
• A sincere commitment to a positive, inclusive, and collaborative culture
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Excels at the above listed Requirements
• Possesses and able to maintain an active U.S. TS Security clearance with SCI and/or SAP eligibility
• Familiarity with security architectures of embedded, aerospace, or cyber-physical systems
• Fluency in modern USG cyber methodologies, including Cyber Survivability guidance and related policy (JSIG, ICD 503, CSEIG, SSECG, NIST SP 800-160, Cyber T&E Guidebook, CMMC, etc.)
• Experience with programmable logic devices and their development tools
• Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems

ABOUT THE TEAM

A Connected Warfare SRE - System Deployment deploys and maintains Anduril’s hardware and software to deliver mission critical capabilities to our customers. System Deployment Engineers work in complex environments with shared environmental responsibility with our customers. They navigate the ambiguous landscape with efficiency to deliver the right customer outcomes. 

WHAT YOU’LL DO

• Enable network expansion through installation of both hardware and software in support of Anduril customer missions
• Troubleshoot complex installation issues, driving short term resolution and identifying long term solutions
• Be familiar with Anduril system capabilities as a data and applications platform and be able to educate customers
• Participate in customer demonstrations and exercises
• Work with site reliability engineers to provide and refine requirements for tooling and systems to support customer outcomes
• Work with mission software engineers to ensure supportability of custom system integrations
• Identify and document opportunities for system improvements

REQUIRED QUALIFICATIONS:

• Active US TS security clearance with SCI eligibility
• STEM degree or equivalent technical experience
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Willingness to travel 40%-50%
• Minimum 4 years of operations and engineering experience

PREFERRED QUALIFICATIONS

• Comfort with operating independently in isolated, austere, and dynamic environments while being the sole representative of Anduril
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across network enclaves
• Extensive hands-on field operations and systems administration experience
• Administration experience in networking, storage, and operating systems
• Demonstrated ability to solve problems in ambiguous environments to enable customer mission success
• Experience working with cross-functional engineering teams and external customers
• Experience performing data-driven root cause analysis on complex systems
• Excellent written and verbal communication skills
• Hold a DoD 8570 IAT Level 2+ certification
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, hardware design, and/or cybersecurity

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment. 

Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.

Responsibilities

• Design, build, and optimize large-scale distributed GPU compute clusters
• Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
• Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
• Automate system deployment, monitoring, and troubleshooting across thousands of nodes
• Collaborate with research, and engineering teams to support evolving workloads
• Own critical infrastructure projects — from concept to implementation and support
• Test and deploy new hardware and software, and partner with vendors to resolve complex issues

Qualifications 

• 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles.
• Extensive experience in Linux system installation, performance tuning, and troubleshooting
• Expertise in troubleshooting distributed GPU workloads
• Deep knowledge around GPU optimization and performance  
• Proficiency in Python scripting and automation frameworks 
  • CUDA or C/C++ experience is a plus
• Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink 
• Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
• Comfortable diagnosing complex system issues at the hardware, OS, and network levels
• Strong communication and organizational skills; able to collaborate across diverse technical teams
• Thrive in fast-paced environments and excited by high-impact work

The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading’s High Performance Computing (HPC) Network Engineering team designs and engineers the low-latency communications infrastructure that underpins our incredibly large GPU and CPU compute clusters. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects globally distributed, large-scale on-prem data centers, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

We are looking for a Network Engineer with deep experience in designing, deploying, and scaling networks for large-scale HPC environments. You will be building the next generation of infrastructure required by a premier algorithmic trading firm operating at the forefront of technology and finance.

This position requires deep technical skills, along with the  product leadership and vision needed for the future of cloud-scale networking. You’ll have broad responsibilities and freedom to analyze and solve problems, and your solutions will have an immediate impact on our operations worldwide. We’re looking for someone who loves  technology and is excited about tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the network and contribute to both the management and the technical nitty-gritty of our computing architecture. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.

Responsibilities

• Network design, product selection, routing, configuration and troubleshooting
• Closely work with our HPC Systems team, as well as other teams to scale our research environment 
• Meet with external parties for project related items as well as future endeavors
• Overall capacity planning for the data center networks
• Develop scripts and processes to increase efficiency
• Collaborate with others in the network team to solve cross discipline problems
• Provide detailed documentation 
• Mentor others as a senior resource 

Profile

• 10+ years of relevant experience
• Proven ability to prioritize workloads and manage implementation schedules with a meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field.
• Strong collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes 

Skills

• Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms
• Able to create and maintain clear and effective technical documentation
• In depth understanding of common layer 2 and layer 3 network protocols (OSPF, BGP, PIM, IGMP, RoCEv2, spine-leaf architecture, and VXLAN) and best practices for them
• Proven ability to select and work with vendors to engineer switches for next-generation computing environments
• Experience managing Arista (EOS), Cisco (NX-OS), Nvidia (Cumulus) and SONiC-based switches, as well as an interest in exploring new platforms
• Strong design skills in computing and grid networks, with expertise in capacity planning, and full lifecycle project management
• Experience with packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks, such as AWS, GCP, Azure
• Familiarity with configuration management tools, such as Ansible or Salt is desirable to support zero-touch network management
• Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
• Understanding of basic power consumption and cooling issues in a data center environment
• Knowledge of fiber optics technology and cabling standards ranging from 1 to 800 Gbps. Ability to sort through specs and make recommendations on appropriate purchases.
• Skilled in Unix/Linux command line utilities and networking stack
• Experience with AI style network designs and workloads is preferred

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

The Networks team designs, builds and maintains all the communications infrastructure that allows our high-capacity, low-latency trading and data research environments to run 24/7.  This network spans over 25 countries and 100 locations. We are looking for a Senior Network Engineer with experience designing and managing large environments to fulfill the high-performance and availability requirements of a premiere algorithmic trading firm operating in global financial markets. 

This position requires both project management and deep technical skills. Working together with some of the brightest minds in our industry, you’ll be responsible for everything from product selection and design to routing configuration and troubleshooting. You will work closely with our Systems and Trading Operations teams as well as others at HRT to build, manage, and monitor our low-latency trading network. You’ll have broad responsibilities with freedom to analyze and solve problems, and your solutions will have an immediate impact on our worldwide operations. 

We’re looking for someone with a love for technology and an excitement for tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the global trading and research platforms and contribute to both high-level strategy and the technical nitty-gritty of our global network architecture.

Qualifications

• BS in Computer Science, Electrical Engineering, or related IT field
• 5-10 years of relevant experience, preferably in low-latency and high-frequency trading environments.
• In depth understanding of common layer 2 and layer 3 network protocols and best practices; working knowledge of OSPF, BGP, PIM, IGMP
• Experience managing Arista, Cisco, and other common networking devices on a day-to-day basis
• Familiarity with low-latency microwave networks and/or optical transmission systems, such as Adva, Ciena is desirable
• Experience in designing enterprise networks, capacity planning, and full lifecycle project management
• Experience with packet decoding and analysis tools such as tcpdump and Wireshark
• Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms and to create and maintain effective technical documentation
• Experience with Unix/Linux command line utilities and networking stack
• Excellent troubleshooting skills on a wide range of networking issues, including common ethernet LAN problems, multicast market data distribution, and global WAN
• Understanding of basic power consumption and cooling issues in a datacenter environment
• Knowledge of fiber optics technology and cabling standards. Ability to sort through specs and make recommendations on appropriate purchases
• Willingness and ability to solve small technical problems in the field yourself.
• You have excellent collaboration skills and a willingness to admit mistakes.
• Familiarity with firewalls (including Cisco, Palo Alto, Fortinet), VPNs and NAT
• Familiarity with configuration management tools, such as Ansible or Salt is desirable
• Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
• Familiarity with public cloud networks, such as AWS, GCP, Azure, is desirable

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! 

At HRT, an automated trading firm based in NYC, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

As a member of the AI Tools team, you will be responsible for increasing productivity across the company by integrating the newest AI tools into our users’ workflows. Whether it’s for a Python developer writing a web app, a C++ developer speeding up order execution, a researcher investigating trade signals, or even Business Development meeting with vendors - we are focused on deploying what works.

This is an exciting opportunity to help build and define the AI tooling ecosystem at HRT. You will have to navigate the rapidly evolving options in this space, and adapt them to our own internal systems. You might be fixing auth one day, comparing vendors the next, and coding a new MCP the third. 

Responsibilities

• Help us develop software that improves productivity for every office and department at HRT while using the latest technologies and techniques in software engineering and the broader AI tooling ecosystem.
• HRT has many high-impact areas where we are integrating AI tools; here’s what you could work on:
• Writing a custom MCP wrapper around internal resources.
• Fine-tuning a new code completion model.
• Deploying a new coding assistant across all developer and researcher environments.
• Developing evaluations and iterating on an autonomous coding agent.
• Collaborating with security to improve AI sandboxing.
• Presenting and educating users on best practices.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase.
• You’re comfortable with defining direction in an environment of ambiguity and uncertainty. The AI tooling space changes rapidly.
• You really like to work with people who challenge you and make you better at what you do.
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things AI and computer-related.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Python experience is required, daily use of most recent standards preferred.
• C++ and JavaScript (TypeScript, React) experience a plus.
• Experience with the AI tooling ecosystem (use coding assistants/agentic workflows, ideally have built your own customizations).
• Superior design, debugging, and problem solving skills.
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it’s where all of our trading strategies are generated.

We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance. 

As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. You’ll work everyday with both talented quantitative traders and software engineers across all trading teams.

Responsibilities

• Ensure HRT’s research environment is best in class, with a focus on user workloads
• Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
• Optimize workloads at the user level to speed up user iteration speed
• Tune workloads at the infrastructure level to make them more resource-efficient
• Share metrics and real-time information with users to give insight into workload behavior
• Sit down with users to understand their specific technical needs
• Contribute individually and through leadership and coordination of the above
• Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Strong C++ expertise (daily use preferred)
• Python familiarity preferred
• Experience collaborating closely with quantitative researchers and traders to understand their needs
• Great communication capabilities
• Superior design, debugging, and problem solving skills
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

About the role

Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work.

We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

Key responsibilities

• Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
• Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
• Build and maintain custom controllers, operators, and CRDs
• Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
• Collaborate with cloud providers on required features and escalations
• Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures

Minimum qualifications

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
• A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
• Strong written and verbal communication; comfort building consensus with internal stakeholders

Preferred qualifications

• Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
• Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
• Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
• Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
• Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
• 8+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc

Your Role:

Tenable is seeking an experienced Pre-Sales Engineer to own and drive the Business and Technical aspects of strategic Enterprise selling in your assigned region. You will be partnering with Enterprise Territory Managers and a strong team of peers to differentiate the Tenable solutions from our competitors, create lasting customers by positioning unique business values they are looking for and most importantly, create raving fans of Tenable throughout your area of influence.

Your Opportunity:

• Deliver compelling technical presentations and live demonstrations of Tenable Enterprise products
• Manage enterprise software trials and Proof of Concept evaluations, mapping unique business values with customer business objectives
• Answer technical questions and provide consultative guidance on security best practices, compliance frameworks, and risk management
• Apply advanced technical skills to demonstrate the value and impact of Tenable’s solutions in solving real-world customer challenges
• Maintain and strengthen relationships with existing customers, while identifying and cultivating new strategic opportunities
• Present thought leadership content and represent Tenable at industry events, executive briefings, and customer-facing sessions
• Leverage strategic technical selling skills to engage key stakeholders, from engineers to CISOs, and influence decision-making
• Travel as needed (typically around 50%) to support key customer engagements, critical sales opportunities, and high-impact cybersecurity events
• Collaborate cross-functionally with product management and engineering to surface customer feedback and prioritize critical customer use cases
• Help shape future innovations by identifying gaps and contributing ideas for new product features and capabilities
• Deliver clear status reports for Proofs of Value (POVs) and active opportunities; this data is mission-critical for forecasting business health and ensuring alignment with territory and organizational growth goals
• Meet with prospective clients to discover what their biggest security challenges and highest priority business drivers are

What You'll Need:

• 5+ years of experience in a customer-facing technical sales role, with a demonstrated track record as a trusted and successful sales engineer
• Proven ability to lead and win technical proof-of-value (PoV) engagements with strategic enterprise customers
• A customer-centric mindset, with a relentless focus on delivering business value and building long-term relationships
• Recognized thought leadership in cyber security, including experience in public speaking and industry engagement
• Strong communication skills with the ability to tailor and deliver impactful presentations to diverse audiences, including engineers, security professionals, and executive stakeholders
• A collaborative, team-oriented approach, committed to knowledge-sharing and cross-functional success, while proudly representing our One Tenable team culture
• Exceptional Situational and Self-Awareness, with the high emotional intelligence (EQ) required to navigate complex stakeholder dynamics, adapt communication styles in real-time, and maintain a grounded, professional presence during high-pressure technical demonstrations

And Ideally:

• 5+ years of Sales Engineering experience with a focus on vulnerability management, cloud security, Operational Technology or complex enterprise SaaS environments
• Core Network Security & TCP/IP Foundations, including an understanding of the OSI model, packet analysis, and other advanced network security concepts
• Vulnerability Management Expertise, with hands-on experience using Nessus and other industry-standard network security scanning tools to identify, validate, and prioritize vulnerabilities across hybrid environments
• Experience with securing modern Cloud Infrastructure like AWS, Azure, and Google Cloud
• Basic understanding of Container Security, specifically securing Docker and Kubernetes (K8s) environments
• AI Security Knowledge, including the ability to identify and mitigate risks that LLM’s, and agents bring to businesses
• Basic Understanding of Identity and Access Management (IAM), including its critical role as the modern security perimeter and how to manage user and service permissions across cloud environments
• Automation & DevSecOps Mindset, with the ability to leverage Python SDKs, REST/GraphQL APIs, Terraform, and more
• Strategic Compliance Knowledge, mapping technical findings to frameworks like CIS, FISMA, PCI, and emerging AI-specific regulations (e.g., NIST AI RMF)
• Strong Academic & Professional Credentials, including a BS in Computer Science (or equivalent) and certifications such as CISSP, AWS Solutions Architect, or CKA (Certified Kubernetes Administrator)
• Obtain a basic knowledge and use of the command line, and is familiar with and able to demonstrate proficient use of our API

#LI-MS1

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we 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 part of our Application Infrastructure org, this is a team building Coupang’s next-generation Real-Time Streaming & AI Platform that powers the end customer website and mobile apps. 

We are looking for a visionary Staff Software Engineer to lead the architectural design of a platform capable of processing over 100k+ events per second with sub-second, end-to-end latency. This system will serve as the central nervous system for Coupang, enabling real-time product and customer data and instant personalization. You will build a system that doesn't just meet industry standards but sets them, ensuring 5-6 nines availability while leveraging AI to optimize data flows and automate complex system behaviors.

What You Will Do

• Architect for Velocity: Lead the end-to-end design of a distributed streaming engine. You will Build the Best Team and Help Them Grow by setting the gold standard for high-throughput, low-latency architectural integrity.
• Define Extreme Performance: Design for "5-6 nines" (99.9999% availability) at a throughput of 100k+ events/sec. You will Dive Deep into JVM tuning, memory management, and network I/O to ensure sub-second latency across global clusters.
• AI-Driven Streaming: Integrate AI/ML models directly into the stream processing path. Implement predictive scaling and intelligent load balancing to ensure we Wow the Customer through seamless, real-time platform responsiveness.
• Solve Hard Problems: Address challenges related to distributed consistency, at times, exactly-once processing guarantees, and backpressure management. You must Be Data-Driven to validate architectural decisions against massive, bursty traffic patterns.

Basic Qualifications 

• Bachelor's degree in computer science, Electrical Engineering, Math, or a closely related field
• 4 years of experience in backend software development
• Proficiency in Java and the Spring Framework
• Experience working in cloud environments, particularly AWS
• Demonstrated experience in building and maintaining highly available, distributed systems

Preferred Qualifications

• Expert-level experience in Cassandra, TiDB, or DynamoDB
• Expert-level proficiency in Java and the Spring Framework.
• Demonstrated experience in building and maintaining highly available, distributed systems in cloud environments (AWS).
• Experience with high-volume messaging systems (e.g., Kafka, SQS)
• Extensive Experience: 10+ years of professional software development experience building backend infrastructure that supports global-scale, real-time traffic.
• Performance Expert: Proven track record of optimizing JVM applications for ultra-low latency (<100ms p99s) and high concurrency.
• AI Integration: Experience or a strong architectural vision for using AI/ML to automate system-level functionality, such as real-time anomaly detection in data streams.
• Distributed Systems Expert: Deep understanding of the CAP theorem, consensus algorithms, and building fault-tolerant systems from the ground up.

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 $152,000/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 

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of Paid Time Off (PTO) a year based on the tenure
• 12 Paid 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 or wage scale. 

Recruitment Process and Others  

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. 

• Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. 

 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.    

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale.

Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust.

Lyft Security builds systems to protect and defend infrastructure. We consult with teams as they build and launch new products and features, proactively plan for the unexpected, and respond to incidents that occur. Our work has company wide impact and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, bikes and scooters. We believe in scaling security through engineering fundamentals, automation, and tooling. Check out our blog posts at https://eng.lyft.com/tagged/security  to learn more about some of the things we’ve built.

Corporate Security serves as a trusted partner, advisor, and enabler for Enterprise Security at Lyft by meeting and anticipating needs as the company evolves.

Responsibilities:

• Partner cross functionally to design and enforce secure processes that empower Lyft employees
• Help establish roadmaps and prioritize projects based on stakeholders’ needs
• Write well-crafted, well-tested, readable, and maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
• Supporting and improving our existing detection pipelines
• Lead large projects from idea to successful execution
• Unblock, support and communicate with internal partners to achieve results

Experience:

• 5+ years of software engineering or security engineering industry experience
• Solid experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts)
• Exposure to Database technologies including NoSQL (e.g., DynamoDB, Redis, Elasticsearch, etc.)
• Experience (or deep interest in) working with security systems
• Understanding of computer network security or major computer networking protocols (e.g. TCP/IP, HTTP, TLS, DNS).
• Nice to haves: 
• Experience with Amazon Web Services (AWS) or any other major cloud service provider
• Kubernetes and container technology experience
• Experience with Okta, Google Workspace, and other identity and productivity platforms commonly found in enterprise SaaS environments
• Experience leveraging AI to automate security workflows

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $136,160 - $170,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

We are looking for an entry-level hardware technologist with experience testing and deploying firmware to server hardware at scale. Reporting to the Manager of Infra::Machines::Design, the Firmware Qualification Engineer will qualify and deploy firmware packages across DigitalOcean products and components and join a team of engineers who have already paved the way for the many tens of thousands of servers in our infrastructure. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and explore new technologies to bring to our customers.

What You’ll Be Doing:

• Work with vendors and internal peer teams on qualifying, onboarding, and delivering new firmware to the DigitalOcean ecosystem
• Act as Tier 3 escalation on-call for triage, investigation, and resolution of system firmware issues in the DigitalOcean fleet (both customer-facing and internal)
• Participate in 24/7 on-call rotation with other members of the teamImprove existing firmware and hardware configuration automation/validation, for both hardware platforms and components (such as NIC, Storage and BMC)
• Engage with hardware vendors about new automation features and existing bugsHelp with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alertingAssist in troubleshooting causes of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Strong understanding of x86 server hardware architecture and subsystems.
• Ideally, you’ve worked with non-x86 hardware too!Demonstrated professional proficiency in configuration management best-practices (we use Ansible and Chef)
• Experience automating server firmware components at large-scale using industry-standard tooling (Redfish, IPMI, etc) including a deep understanding of benchmarking, automating test frameworks, and process automation in general
• Practical knowledge of PXE boot, UEFI, Linux/OS boot, AMI/OEM BIOS distributions, OpenBMC/AMI/OEM BMC implementations, RAID and other storage resiliency technologies, and the full Network stack- from NIC firmware to TCP/IPAdept at Linux (or Unix) operating systems. You’ll be spending a lot of time working in one!
• Comfortable with version control systems (we use Git) and proficient in at least one programming language (such as Python or Go) Ability to participate in 24/7 on-call rotation with other members of the team
• Excellent communication skills, both within the team and with the broader company
• Have an insatiable passion for hardware, both new and old 

Compensation Range: 

• $83,000 - $104,000

*This is a hybrid role

JR: 2026-7606

#LI-Hybrid

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $183,040 - $228,800

*This is a hybrid role

JR: 2025-7129

#LI-Hybrid

We are seeking a Senior Software Engineer (IC3) to join our Customer Trust & Engineering team working on Identity and Access Management. IAM is the bedrock of trust at DigitalOcean; our services sit in the critical path of every request, authorizing billions of transactions per second with single-digit millisecond latency.

In this role, you won't just maintain existing systems—you will architect the next generation of our Identity platform. You will be instrumental in supporting our AI initiatives, building seamless SSO integrations for global partners, and evolving our policy engine to support complex, agentic workflows. If you are passionate about distributed systems, security-first engineering, and building at hyperscale, this is the team for you.

What You’ll Do

• Architect for Scale: Design and develop high-availability, low-latency authentication and authorization services in Go that scale to handle massive load spikes across global regions.
• Drive Next-Gen Innovation: Build the IAM foundations for emerging cloud-native AI/ML platforms, designing secure token exchange patterns and identity context injection for agentic AI workflows.
• Modernize Identity: Lead the implementation of OIDC and SAML integrations, enabling seamless federated Single Sign-On (SSO) for enterprise customers and strategic global partners.
• Solve Complex AuthZ: Evolve our Policy Engine (using industry standards like Rego/OPA) to support advanced resource-level permissions, dynamic scoping, and network-aware access conditions.
• Evolve Identity Models: Design and scale robust, multi-tenant data models to manage complex hierarchical structures (users, teams, organizations, and resource boundaries) that map to enterprise customer needs.
• Operational Excellence: Take ownership of service reliability, from fine-tuning Kubernetes deployments to migrating legacy data pipelines to modern eventing architectures.
• Security First: Proactively identify and remediate complex security vulnerabilities, ensuring our auth flows are resilient against credential stuffing, session hijacking, and configuration theft.
• Mentor & Lead: Act as a technical lead for major workstreams, conducting deep code reviews and mentoring junior engineers in distributed systems best practices.

What You’ll Add to DigitalOcean

• Experience: 5+ years of software engineering experience, with at least 2+ years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems.
• Language Expert: Expert-level proficiency in Go and a strong understanding of gRPC microservices architecture.
• Identity Specialist: Deep knowledge of identity protocols (OIDC, OAuth2, SAML) and access control models (RBAC, ABAC, PBAC).
• Distributed Systems Guru: Proven ability to build systems that handle consensus, replication, and partitioning at cloud scale.
• Cloud Native: Working experience with container orchestration (Kubernetes), SQL (MySQL), and Infrastructure as Code (Terraform).
• Problem Solver: A track record of "unwinding" complex legacy logic into clean, maintainable abstractions.
• Communication: Ability to communicate technical strategy to senior leadership and collaborate across teams (Inference, Billing, DOKS).

Nice to Have

• Experience with Open Policy Agent (OPA) and Rego.
• Familiarity with Cloud-native deployment strategies (Canary/Blue-Green) via kubernetes.

Compensation Range: 

• $140,800 - $176,000

*This is a hybrid role

JR: 2026-7665

#LI-Hybrid

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a hybrid role

JR: 2026-7651

#LI-Hybrid

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote