ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for developing 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. You will design and implement multi-target tracking systems using advanced state estimation and data association techniques, develop physics-based models to validate performance, and work closely with software teams to deploy your algorithms into operational systems. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, and experience with modeling and simulation. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints then this role is for you.

WHAT YOU’LL DO

• Perform systems engineering and algorithm development tasks supporting space and missile defense tracking missions
• Design and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Develop and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Implement advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Apply and refine data association techniques, such as: nearest neighbor and probabilistic association; Joint Probabilistic Data Association (JPDA); Multiple Hypothesis Tracking (MHT); and track-to-track fusion methods
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Conduct performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Support the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Prepare technical documentation and briefings for design reviews (SRR, PDR, CDR) and customer engagements

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 5+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Strong theoretical and practical experience with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience working within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V;), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

Engineering

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

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

Where you’ll work

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

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

Software Engineering Analyst 

Start Your Career Where Innovation Meets Purpose 

At Accenture Federal Services, we help the U.S. federal government make the nation stronger, safer, and better for all. Our 13,000+ team members are united by a shared purpose: to harness the limitless potential of technology and human ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.  

Join a collaborative and caring community where you belong, and where your growth is our priority. As an entry-level analyst, you’ll gain hands-on experience, earn industry certifications, and receive structured training that builds on your engineering mindset—applying creativity and analytical thinking to solve real-world challenges.  

We’re writing the playbook for how to be the most AI-enabled, client-focused, and people-first organization. Our reinventors are driving faster value for clients and shaping the future of government services.  

Are you ready to reinvent what’s possible?  

It’s your career, your life, and your choice. Let’s build something that matters—together.  

The Opportunity 

At AFS, our Software Engineering Analysts are at the forefront of building mission-critical solutions for the U.S. federal government. You’ll begin your journey with immersive training in full-stack development, cloud-native engineering, and modern software practices—preparing you to tackle real-world challenges with cutting-edge tools.  

In this role, you’ll apply your engineering mindset to design, develop, and deploy secure, scalable software systems that integrate advanced AI capabilities. You’ll work side-by-side with teammates to solve complex problems across defense, national security, and civilian sectors—leveraging the power of Gen AI and emerging technologies to deliver faster value.  

What You’ll Do: 

• Experiment and be an early adopter of emerging technologies and next-generation IT tools, including genitive AI, intelligent agents, and edge computing 

• Leverage advanced engineering frameworks such as Agentic AI to accelerate solution development and automate complex workflows. 

• Design and build full-stack applications using languages like Python, Java, and JavaScript, and frameworks such as React, Node.js, and Spring Boot. 

• Deploy cloud-native solutions on platforms like AWS, Azure, or GCP using containers (Docker, Kubernetes), serverless functions, and infrastructure-as-code. 

• Integrate AI/ML models into production systems using various tools, optimizing for performance, stability, and ethical use.  

• Collaborate in agile teams to deliver secure, resilient, and innovative software that supports federal missions and improves citizen services.  

What You’ll Learn 

• AI engineering fundamentals, including model deployment, orchestration, and responsible AI practices. 

• Agentic system design and how autonomous agents can drive mission outcomes. 

• DevSecOps, CI/CD pipelines, and secure software development lifecycle (SDLC) tailored for federal environments. 

• How to rapidly prototype and iterate using modern engineering methods and cloud-native architectures.  

Basic Qualifications 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field, with a graduation date no later than August 31, 2026. 

• Strong foundation in programming languages and familiarity with software development methodologies (Agile, DevOps) and version control systems (e.g., Git).  

• U.S. citizenship required (due to federal contract requirements) 

• Ability to travel 25-50% preferred, but requirements vary by team and location. 

Preferred Qualifications 

• Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred) from a 4-year accredited institution. 

• Coursework or hands-on experience in multiple programming languages, modern frameworks, architectures, databases, cloud platforms, and AI/ML. 

• Experience with full-stack development frameworks and knowledge of secure coding practices and software testing methodologies. 

• Familiarity with AI frameworks and exposure to Agentic AI concepts or autonomous system design.  

• Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly.  

• Active security clearance or eligibility to obtain one. 

Work Model 

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.  

• If this position is listed as remote or hybrid, you’ll periodically work from an Accenture Federal or client site facility.  

• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for a specific role.  

This is more than a job—it’s a launchpad for a technical career in federal innovation. Whether you aspire to be a cloud engineer, AI integration specialist, or software architect, we’ll support your growth with mentorship, certifications, and access to the latest technologies through the Analyst Development Program (ADP).  

What we are looking for

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

We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

The base salary range for this position is $189,000 - $274,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior 

Location: This role can be based at our office in Bothell, WA (US) or in Oxford, England (UK).
Travel: Twice per year
Job ID:  1452

The Role

As a Senior Software Engineer for Developer Tools, you will be a key contributor to the software that connects quantum developers to IonQ's hardware. You will focus on contributing to quantum compiler tools and features that our users and internal research teams depend on to run applications. You will build tooling to give users deep insights into how their circuits are optimized and create intuitive, user-friendly interfaces for hardware-specific compiler passes, such as quantum error mitigation and quantum error correction, and ensure our tools are robust and well-documented. You will work closely with our Compiler, QEC, and Applications teams to take new features through development, testing, documentation, packaging, and release, and use software engineering best practices to document, distribute, and use them in quantum software applications.

The Developer Tools team builds the critical software layer for the quantum ecosystem. In this role, you will help shape an ecosystem of tooling that turns high-level quantum circuits into optimized instructions for our quantum computers. Your work will directly impact the performance, reliability, and capabilities of quantum applications running on IonQ systems by focusing on the compiler's application-facing features and its connection to the hardware.

The compiler is where quantum algorithms meet quantum hardware. Your work sits at the heart of this critical transformation. The tools you build will define how developers interact with our systems, enabling them to extract maximum performance, trust the compilation process, and tailor optimization strategies for their specific use cases.

By focusing on compiler tools for applications, you empower developers to tackle real-world problems and push the boundaries of what's possible on quantum computers. You'll make advanced techniques accessible, from sophisticated error mitigation to hardware-aware compilation. This role offers a unique opportunity to work with world-class researchers and translate their innovations into production software that accelerates the path to quantum advantage for everyone.

Responsibilities:

• Design, build, and maintain compiler toolchains, optimization tools, and circuit transformation libraries for developer-facing applications.
• Work with the Compiler and Applications teams to package, test, and document new compilation features for both internal and external developers.
• Architect and implement interfaces for hardware-specific compilation features, giving developers deeper control and visibility.
• Integrate automated error mitigation, quantum error correction, and other advanced compilation strategies into our cloud platform and SDKs.
• Maintain comprehensive documentation, examples, and tutorials for compilation workflows.
• Support the testing and validation of compilation features across different IonQ backends and system configurations, and capabilities such as mid-circuit measurement and branching.
• Collaborate with the Applications Engineering team to understand and address customer needs related to compilation and circuit optimization.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience.
• 6+ years of professional software engineering experience in team environments.
• Deep proficiency in Python, our primary language.
• Experience with quantum computing, with an understanding of quantum gates and circuits.
• Familiar with the fundamentals of quantum compilation, error mitigation and quantum error correction.
• Experience with software maintenance, user community stewardship and software engineering best practices.
• Experience working with research or academic concepts and integrating them into scientific software workflows.
• Familiarity with Agentic AI coding tools and techniques such as skills, docstring generation, code review, and software engineering best practices.
• A track record of creating clear, comprehensive technical documentation.
• Experience with automated testing, CI/CD pipelines, and scientific software validation.
• Strong collaboration skills, with experience working across research and engineering teams.

Preferred Qualifications:

• 8+ years of professional software experience.
• An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing.
• A background in compiler development for either classical or quantum systems.
• An interest in or experience with hardware-level and hardware-specific compilation, such as pulse-level control or dynamic circuits.
• System-level programming experience with C++ or Rust for performance-critical code.
• Deep experience with quantum compilers, circuit optimization, or quantum error correction.
• Experience with quantum computing SDKs (Qiskit, Pennylane, Cirq).
• Understanding of trapped-ion quantum computing systems and their specific noise characteristics.
• Proficiency with or strong interest in open-source compiler tools like ucc and jeff
• Publications or significant contributions to quantum computing research or open-source projects.

The approximate base salary range for this position is $145,920 - $191,047 (USD). The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

IonQ is seeking a strategic and visionary Software Engineering Director to lead the development and operation of the core services provided by the IonQ Quantum Cloud platform (try it out yourself: https://cloud.ionq.com). This role is pivotal in delivering access to our advanced quantum computers and simulators via our APIs in the cloud and on-prem. The Director will drive the technical direction of the IonQ Quantum Cloud API platform, ensuring it aligns with IonQ's overall business objectives and market opportunities in the rapidly evolving quantum computing landscape.

The ideal candidate will have experience leading or contributing to multiple simultaneous initiatives, balancing multiple activities with a keen eye for prioritizing for the biggest impact. You’ll be able to balance technical expertise and savvy with strong business judgment to make great technology choices with lasting impact. You’ll strive for simplicity and demonstrate significant creativity and incisive judgment. You'll enjoy learning technical topics, working across multiple business streams, and be uniquely positioned to help us reach the next horizon in secure quantum computing.

Responsibilities:

• Develop and execute the technical roadmap for IonQ's quantum platform, aligning with business goals and market demands
• Own API design and versioning strategy for IonQ Quantum Cloud, ensuring APIs are consistent, well-documented, and a joy to integrate with
• Partner closely with developer tools leadership to ensure seamless integration between cloud services and client SDKs
• Drive cross-functional strategic initiatives, collaborating with product, research, and engineering leadership to define long-term technology choices and platform architecture
• Manage technical delivery of integrations with major cloud providers (AWS, Azure, GCP), ensuring alignment with IonQ's cloud strategy and business objectives
• Develop and manage the cloud services portfolio budget, ensuring cost optimization and alignment with financial goals
• Define and track key performance indicators (KPIs) for the cloud platform, providing regular reports and insights to executive leadership
• Provide technical leadership and guidance in building robust, scalable, and innovative software solutions that can be deployed in a variety of contexts – including on-prem and hybrid environments

In your first three months, you will focus on assessing the current cloud platform strategy, identifying key areas for improvement, and delivering new capabilities to meet growing global demand.

You’d be a good fit with...

• 12+ years of progressive technical leadership experience, including significant experience in managing and developing large-scale cloud platforms
• 7+ years experience designing and operating cloud APIs and services at scale
• Demonstrated ability to develop and execute strategic plans, working cross-functionally to align technology initiatives with business objectives
• Experience in building and leading high-performing distributed teams, fostering a culture of innovation and excellence across multiple timezones
• Sufficient technical proficiency to engage thoughtfully with engineers about architecture and product design, offering valuable insights when necessary
• Experiencing shipping and operating business-critical distributed systems
• Experience managing teams using AI agents for engineering tasks
• Prior experience as a software engineer and team lead
• Strong written and verbal communication skills for different audiences (your staff, users, the company as a whole)

You’d be a great fit with...

• 18+ years of senior technical leadership experience, including experience at the director level or above (e.g., 30+ engineers organized in multiple layers)
• 10+ years experience designing and scaling APIs, with a proven track record of shipping interfaces developers love to use
• Experience owning a multi-tenant cloud API product end-to-end—from API design through deployment and operations—at scale
• Strong product and design sense
• Experience in driving organizational change and transformation in a rapidly evolving technology environment
• Experience recruiting and managing teams distributed across multiple continents
• Experience developing sustainable, in-house framework and abstraction layers
• Strong business acumen and experience in developing and managing the engineering platform for a significant business unit
• Experience managing rigorous incident response processes, on-call rotations, and retrospectives
• Personal experience writing software with AI agents
• Prior experience with building/scaling platform-as-a-service offerings
• Prior experience with quantum computing

Location: This role will be based onsite at our office in Bothell, Washington or our Headquarters in College Park, MD.
Travel: Up to 10%
Job ID:  1332

The approximate base salary range for this position is $221,925 - $290,558. The total compensation package includes base, bonus, and equity.

We don’t just build the world’s best quantum computers—we sell them! We make our systems available via the cloud, alongside quantum services to do the heavy lifting for our customers.  We are looking for a Staff Software Engineer to lead our billing and payments platform integration efforts, which makes it possible for us to meter and sell our products to customers. You’ll lead key components of the platform in collaboration with our product team and other engineers, to build the best quantum developer experience for our customers and partners.

Responsibilities:

• Architectural Vision & Strategy: Architect and lead the design and building of our next-generation billing and payments platform. Author technical design documents, RFCs, and roadmaps that align with long-term business goals
• Technical Authority & Mentorship: Act as the ultimate technical authority for the billing domain. Provide guidance, mentorship, and technical oversight to senior engineers and team leads across the organization. Elevate the entire engineering team through best practices and knowledge sharing
• Solve Complex Problems: Spearhead the development of solutions for our most challenging technical problems, such as implementing sophisticated usage-based billing models or expanding into new international markets with complex tax and compliance needs
• Strategic Cross-Functional Influence: Collaborate with senior leadership in Product, Finance, and Legal to influence product strategy and ensure our technical architecture can support future business initiatives. Translate complex business needs into a scalable and maintainable technical reality
• Hands-On Development: While this is a strategic role, you are expected to remain hands-on by leading the development of new solutions, contributing to critical path code, and performing deep-dive investigations into production issues

You’d be a good fit with: 

• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience
• 8+ years of professional software engineering experience, with a history of technical leadership and shipping large-scale, mission-critical systems
• Deep, expert-level knowledge (4+ years) of payment processing platforms, with extensive hands-on experience with the Stripe API for SaaS and/or Marketplace use cases (Stripe Billing, Connect, Invoicing, etc.)
• Strong understanding of transaction lifecycles, payment processing flows, and idempotency in distributed systems
• Past experience with usage-based billing and invoice reconciliation
• Solid understanding of microservices architecture, event-driven systems, and data consistency patterns
• Proven experience designing and leading large-scale, cross-team technical projects from inception to completion
• Exceptional written and verbal communication skills, demonstrated through a portfolio of technical design documents, architectural diagrams, or public presentations
• Expertise programming backends in Go or JavaScript
• A strong sense of ownership and the ability to navigate ambiguity to drive complex projects forward with a high degree of autonomy
• Familiarity with using AI in day to day coding 

You’d be a great fit with:

• 10+ years of software developer experience
• Experience with global payment systems, including international tax regulations (VAT, GST), currency conversion, and local payment methods
• Deep understanding of financial compliance (PCI DSS) and revenue recognition principles
• Past experience with subscription billing systems, usage-based billing, and invoice reconciliation
• Past experience integrating fraud detection systems
• Familiarity with usage-based billing platforms like Metronome
• Active participation in the broader tech community (e.g., open-source contributions, conference talks)

Location: This role will work onsite or hybrid at our office located in Bothell, WA.  
Travel: Up to 10%
Job ID:  1343

The approximate base salary range for this position is $174,520 - $228,492. The total compensation package includes base, bonus, and equity.

Location: This role can be based at our office in Bothell, WA (US) or in Oxford, England (UK).
Travel: Twice per year
Job ID: 1453

The Role

As a Staff Software Engineer for Developer Tools, you will be responsible for delivering the next generation of quantum compiler tools and features, with the focus of integration into quantum software applications, overall developer experience, documentation and developer tooling. Your work will involve setting high-level technical standards, mentoring senior engineers and scientists, and providing deep expertise to solve the most challenging problems in quantum compilation, optimization, and hardware interfaces. You will drive the adoption and enhancement of critical, user-facing compiler infrastructure, ensuring our tools are aligned with cutting-edge quantum research (e.g., advanced error mitigation, novel compiler optimization techniques). You will work across organizational boundaries, Compiler, QEC, Applications, and Engineering, to support scientific breakthroughs and define the technical strategy for packaging, documentation, and release processes for major components of IonQ’s developer tooling ecosystem.

The Developer Tools team builds the critical software layer for IonQ’s quantum software tools. In this Staff role, you will be a key driver in shaping the future of this ecosystem, and bridging the gap between critical parts of our engineering and computing organizations. Your impact will be measured by the successful delivery of critical, cross-functional projects and the elevation of technical execution across the entire team.

As a Staff Software Engineer, your influence extends beyond a single project; you define the technical bedrock upon which IonQ's developer ecosystem is built. The compiler is the critical interface where quantum algorithms are realized on hardware, and your architectural decisions will dictate the performance ceiling and accessibility of our systems. You will lead the charge in making advanced quantum techniques, from sophisticated hardware-aware compilation to state-of-the-art error mitigation, seamlessly available to every developer. This role offers the unique opportunity to leverage your deep experience to solve fundamental technical challenges, mentor the next generation of quantum software leaders, and accelerate the global adoption of quantum computing.

Responsibilities

• Define the technical strategy and roadmap for major components of the compiler toolchain, optimization suite, and developer interfaces, ensuring long-term maintainability and performance.
• Serve as the primary architect and technical lead for large, complex engineering projects spanning multiple teams (e.g., integrating a new compilation paradigm or full-stack error mitigation strategy).
• Drive the design and implementation of highly scalable and robust interfaces for hardware-specific compilation features, including advanced pulse-level control and system diagnostics.
• Establish best practices and mentor engineers on software architecture, design patterns, testing methodologies, and maintainership.
• Collaborate closely with research teams to evaluate, prototype, and productize novel quantum algorithms and compilation techniques, bridging the gap between research and production.
• Oversee the comprehensive documentation, examples, tutorials, and packaging strategy for all compiler-related developer tools to ensure ease of adoption and a world-class user experience.
• Act as a key technical resource for the Applications Engineering team, providing deep expertise to employ compilation techniques to solve customer-specific challenges and gather requirements for new features.
• Champion continuous improvement in software engineering processes, automated testing, CI/CD, and validation standards across the Developer Tools organization.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience.
• 10+ years of professional software engineering experience, with a significant portion spent in a technical leadership or architectural role.
• Deep expertise in Python and experience designing and maintaining large-scale, performance-critical software systems.
• Expert-level understanding of quantum computing principles, quantum circuits, optimization techniques, and compiler fundamentals.
• Proven track record of driving complex, cross-functional engineering projects from concept to production delivery.
• Experience in system-level architecture and design, translating high-level requirements into clear, actionable technical specifications and implementation plans.
• A history of mentorship and elevating the technical capabilities of a multi-level engineering team.
• Familiarity with Agentic AI coding tools and techniques, and experience integrating them into modern software development workflows.
• Exceptional written and verbal communication skills, with a track record of authoring impactful technical papers, specifications, and external documentation.

Preferred Qualifications:

• An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing or compiler technologies.
• Direct experience in compiler development (classical or quantum), particularly with optimization passes, intermediate representations, or static analysis tools.
• Deep expertise in system-level programming (C++, Rust) for high-performance computing or hardware interaction.
• Significant contributions to open-source software, especially in the quantum computing ecosystem (e.g., Qiskit, Pennylane, Cirq, ucc, jeff).
• Experience with low-level hardware control, pulse-level programming, dynamic circuits, or systems programming.
• A strong background in applied quantum error correction (QEC) or advanced quantum error mitigation techniques.
• A demonstrated ability to influence technical direction across organizational boundaries and secure buy-in for strategic initiatives.

The approximate base salary range for this position is $167,808 - $219,704 (USD). The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

We don’t just build the world’s best quantum computers—we sell them! We make our systems available via the cloud for customers all over the world, customers who have complex organizations and customer bases of their own in many cases. 

We are looking for a Staff Software Engineer to lead developing our Identity and Access Management (IAM) and Role-Based Access Control (RBAC) systems, enabling our customers to federate their own identities and protect their organizations’ data. You’ll lead key components of the platform in collaboration with our product team and other engineers, to build the best quantum platform for our customers and partners.

Responsibilities:

• Own the technical vision and architecture for IAM and RBAC systems across the entire platform for multiple products. Design, evolve, and standardize scalable authorization models (RBAC, ABAC, policy-based access) that support complex enterprise use cases
• Drive cross-team initiatives that impact authentication, authorization, and identity lifecycle management. 
• Make high-impact architectural decisions around: 
• Role modeling and permission hierarchies
• Identity propagation and service-to-service authorization
• Act as the final technical authority on IAM/RBAC design reviews and critical security decisions.
• Ensure IAM and RBAC systems meet high availability, performance, and reliability requirements
• Establish operational standards for: Role changes and permission rollout
• Emergency access and break-glass procedures
• Monitoring and alerting for auth-related failures or abuse

You’d be a good fit with: 

• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience
• 8+ years of professional software engineering experience, with a history of technical leadership and shipping large-scale, mission-critical systems
• Deep, expert-level knowledge (4+ years) on designing, building, and operating IAM and RBAC systems in production environments at scale
• Past experience implementing SAML 2.0 in production
• Proven experience designing and leading large-scale, cross-team technical projects from inception to completion, especially track record of leading cross-team initiatives related to identity, access control, or security platforms
• Solid understanding of microservices architecture, event-driven systems, and data consistency patterns.
• Exceptional written and verbal communication skills, demonstrated through a portfolio of technical design documents, architectural diagrams, or public presentations
• Expertise programming backends in Go or JavaScript
• A strong sense of ownership and the ability to navigate ambiguity to drive complex projects forward with a high degree of autonomy
• A practice of using AI in day to day coding

You’d be a great fit with:

• 10+ years software developer experience
• 5+ years experience writing microservices in a kubernetes environment
• Past experience with GCP
• Experience evolving or migrating legacy authentication/authorization systems to modern, scalable architectures
• Deep familiarity with enterprise security requirements, including least privilege, auditability, and compliance constraints
• Experience operating IAM systems that support high availability, low latency, and strict reliability SLOs
• Active participation in the broader tech community (e.g., open-source contributions, conference talks)
• Regular use of fully agent-based augmented coding

Location: This role will work onsite  or hybrid at our office located in Bothell, WA.
Travel: Once per quarter
Job ID:  1409

The approximate base salary range for this position is $174,520 - $228,492. The total compensation package includes base, bonus, and equity.

As a Staff Software Engineer (SDK) on the Developer Tools team, you will own the programming paradigms, interfaces, and developer experience that IonQ exposes to the world through its quantum SDKs. Your work will define how researchers, enterprises, and the broader open-source community write, optimize, and run quantum programs on IonQ hardware. You will lead the productization and open-sourcing of IonQ's quantum developer tools, setting the standard for usability, documentation, and community engagement across our public-facing SDK ecosystem.

This is a highly visible role at the boundary between IonQ's internal platform and the external developer community. You will set high-level technical standards for SDK architecture, mentor senior engineers and scientists, and provide deep expertise to solve the most challenging problems in quantum programming models, API design, and cross-platform integration. You will work across organizational boundaries, Applications, Compiler, and Engineering, to ensure that IonQ's SDKs are powerful, intuitive, and aligned with cutting-edge quantum research.

Your impact will be measured by the quality and adoption of IonQ's public SDK offerings, the health of our open-source communities, and the successful delivery of cross-functional projects that make quantum computing more accessible to every developer.

Responsibilities:

• Define the technical strategy and roadmap for IonQ's public-facing SDKs, including native SDKs and integrations with ecosystem frameworks (Qiskit, Cirq, Pennylane), ensuring long-term maintainability, performance, and developer adoption.
• Lead the productization and open-sourcing of internal quantum developer tools, establishing release processes, licensing, packaging, and community contribution workflows.
• Serve as the primary architect for the programming paradigms and abstractions IonQ exposes through its SDKs, ensuring they are expressive, ergonomic, and aligned with both current hardware capabilities and the broader quantum software ecosystem.
• Drive the design and implementation of robust, well-documented SDK interfaces for quantum circuit construction, compilation, simulation, and hardware execution.
• Steward IonQ's open-source presence, manage public repositories, triage community contributions, define contribution guidelines, and cultivate a healthy contributor ecosystem.
• Collaborate closely with applications research and compiler teams to evaluate, prototype, and surface novel quantum capabilities (e.g., error mitigation, advanced optimization techniques) as first-class SDK features.
• Oversee comprehensive documentation, examples, tutorials, and quickstart guides to ensure a world-class onboarding and developer experience.
• Establish best practices and mentor engineers on API design, software architecture, testing methodologies, and open-source maintainership.
• Act as a key technical resource for the Applications Engineering team, translating customer needs and partner requirements into SDK features and improvements.
• Champion continuous improvement in software engineering processes, automated testing, CI/CD, and validation standards across the SDK surface area.

You’d be a good fit with: 

• Bachelor's degree in Computer Science, Engineering, Physics, or a related field, or equivalent training, fellowship, or work experience.
• 10+ years of professional software engineering experience, with a significant portion spent in a technical leadership or architectural role.
• 7+ years of experience designing, developing, and maintaining public-facing SDKs or developer libraries with a strong emphasis on API design and developer experience.
• Deep expertise in Python and experience designing large-scale, developer-facing software systems.
• Demonstrated experience managing or contributing to open-source projects with external contributors, including release management, community engagement, and contribution governance.
• Proven track record of driving complex, cross-functional engineering projects from concept to production delivery.
• A history of mentorship and elevating the technical capabilities of a multi-level engineering team.
• Familiarity with Agentic AI coding tools and techniques, and experience integrating them into modern software development workflows.
• Exceptional written and verbal communication skills, with a track record of authoring impactful technical documentation, specifications, and developer guides.

You’d be a great fit with:

• An advanced degree (PhD or Master's) in Physics, Computer Science, or a related field with a focus on quantum computing or programming language design.
• Expert-level understanding of quantum computing principles, quantum circuits, optimization techniques, and compiler fundamentals.
• Deep expertise in system-level programming (C++, Rust) for high-performance computing or hardware interaction.
• Significant contributions to open-source software in the quantum computing ecosystem (e.g., Qiskit, Pennylane, Cirq).
• Experience with quantum computing technologies such as error mitigation, quantum error correction, quantum compilers, and circuit optimization.
• Direct experience in programming language or API design, particularly around domain-specific abstractions for scientific or technical audiences.
• A demonstrated ability to influence technical direction across organizational boundaries and secure buy-in for strategic initiatives

Why This Role Matters

The SDK is the front door to IonQ's quantum computers. Your architectural decisions will shape how thousands of developers, from academic researchers to Fortune 500 engineering teams, experience quantum computing for the first time and build on it over time. By leading the open-sourcing and productization of IonQ's developer tools, you will directly accelerate the global adoption of quantum computing and help build the community that sustains it. This role offers the rare opportunity to combine deep technical leadership with high-visibility community impact, defining not just how IonQ's tools work, but how the world writes quantum software.

Location: This position can work onsite or hybrid from Bothell, WA.
Travel: About once per quarter
Job ID:  1105

The approximate base salary range for this position is $174,520 - $228,492. The total compensation package includes base, bonus, and equity.

ABOUT THE JOB 

Anduril’s Talent Strategy, Experience & Enablement team is seeking a TA Onboarding Specialist to own the end-to-end onboarding experience for our Recruiters and Recruiting Coordinators. This is not a generic HR onboarding role — this person will design and execute an onboarding program purpose-built for TA professionals, ensuring every new recruiter and coordinator ramps faster, builds confidence in our tools and processes, and integrates into Anduril’s recruiting culture from day one. 

The right person for this role understands that onboarding a recruiter is fundamentally different from onboarding a software engineer or a finance hire. Recruiters need to learn our ATS, sourcing tools, and CRM. They need to understand our operating principles, interview methodology, and competency framework. They need to know the business lines they support, the hiring managers they’ll partner with, and the technical domains they’ll recruit for. And they need to build credibility with their stakeholders fast — because every week a recruiter is ramping is a week they’re not filling roles. 

You will be the primary point of contact for every new TA hire from offer acceptance through their first 90 days. You’ll partner closely with the Talent Enablement Program Manager on training content, the TA Systems team on tool access and proficiency, and recruiting leadership on business line immersion. If you thrive on building seamless experiences, obsess over the details that make someone feel set up for success, and want to directly impact how fast our recruiting engine scales, this role is for you. 

WHAT YOU’LL DO 

• TA-Specific Onboarding Ownership: Own the end-to-end onboarding experience for all new Recruiters and Recruiting Coordinators — from offer acceptance through 90-day check-in — ensuring a seamless, structured, and confidence-building ramp into their role.
• Recruiter Ramp Program Design: Design and maintain a TA-specific onboarding curriculum that covers ATS/CRM proficiency, sourcing tool training, interview methodology, operating principles and competency framework orientation, business line immersion, and hiring manager relationship-building.
• Role-Specific Onboarding Paths: Build and maintain structured 30/60/90 day onboarding plans for each TA role (Recruiter, Senior Recruiter, Recruiting Coordinator, Sourcer) with clear milestones, proficiency checkpoints, and success criteria.
• Pre-boarding & Day One Readiness: Coordinate pre-boarding logistics: system access, tool provisioning, team introductions, hiring manager connection, and first-week scheduling. Ensure no new hire shows up on day one without everything they need.
• TA Culture & Process Orientation: Conduct engaging TA-specific orientation sessions that go beyond generic company onboarding — instilling a deep understanding of Anduril’s recruiting culture, operating principles (Speed, Autonomy, Scale, Impact), the Behavioral Question Bank, and what “great” looks like in our hiring process.
• New Hire Liaison & Support: Serve as the primary point of contact for new TA hires, providing guidance, answering questions, and proactively identifying when someone is struggling or falling behind on ramp milestones.
• Cross-Functional Partnership: Partner with the Talent Enablement Program Manager to ensure onboarding content stays current and aligned with broader enablement programs. Collaborate with TA Systems on tool training and access. Work with recruiting leadership on business line immersion scheduling.
• Onboarding Materials & Knowledge Base: Develop, refine, and maintain onboarding playbooks, checklists, guides, and resource libraries specific to the TA function. Ensure materials reflect current processes, tools, and best practices.
• Metrics & Continuous Improvement: Track onboarding completion rates, ramp time to first hire, new hire satisfaction scores, and hiring manager confidence in new recruiter readiness. Use data to identify gaps and continuously improve the onboarding experience.
• Feedback Loops & Iteration: Proactively identify friction points in the TA onboarding experience and drive improvements. Gather feedback from new hires, their managers, and their stakeholders to inform iteration. 

WORKS WITH

• Talent Enablement Program Manager (content alignment, training curriculum)
• TA Systems Senior Manager (tool access, ATS/CRM training)
• Recruiting Leadership & Functional Managers (business line immersion, hiring manager intros)
• People Operations (HR onboarding integration, compliance, benefits enrollment)
• New Recruiters & Recruiting Coordinators (primary audience) 

REQUIRED QUALIFICATIONS

• 3+ years of experience in onboarding, people operations, program management, or talent acquisition enablement.
• Direct experience onboarding recruiting or talent acquisition professionals, or strong enough TA domain knowledge to design a credible ramp program for recruiters and coordinators.
• Strong knowledge of onboarding processes, procedures, and best practices — with a bias toward structured, milestone-driven programs over ad-hoc orientation.
• Excellent organizational and project management skills, with the ability to manage multiple new hire cohorts simultaneously without dropping details.
• Exceptional communication and interpersonal abilities, with a customer-service mindset — new hires should feel supported, not processed.
• Strong attention to detail, ensuring accurate and thorough completion of all onboarding tasks, system access, and documentation.
• Proficiency with HRIS, applicant tracking systems (ATS), and recruiting tools — you’ll be teaching new hires to use these, so you need to know them yourself.
• Analytical mindset: ability to track onboarding metrics (ramp time, completion rates, satisfaction scores) and use data to drive improvement.
• Experience working in a fast-paced, high-growth environment where the onboarding program needs to scale with hiring volume.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS 

• Prior experience in a recruiting or talent acquisition role — you’ve lived the ramp yourself and know what new recruiters actually need vs. what onboarding programs typically provide.
• Experience in the defense, aerospace, or a related high-tech industry where cleared talent, mission context, and technical domain knowledge are factors in recruiter ramp.
• Experience designing 30/60/90 day onboarding plans with structured milestones and proficiency checkpoints.
• Background in creating onboarding content: playbooks, quick-reference guides, video walkthroughs, or e-learning modules.
• Ability to work autonomously with discretion and minimal supervision — comfortable owning the full onboarding experience without waiting for direction.
• Prior event coordination experience (orientation sessions, team immersion days, cohort kickoffs). 

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

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

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.  

You will:

• Recruit a high-performing engineering team. 
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. 
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap.
• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• 5+ years of full-time engineering experience, post-graduation
• 2+ years of prior engineering management or equivalent experience and has managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.

• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Understand unique DoD and USG constraints when it comes to technology

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:

• Create multi-layered guardrails around agents
• Optimize data retrieval for agents
• Orchestrate fleets of asynchronous agents
• Automatically alerts users to deviations in data
• Illustrating how an agent reached a decision

As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.

You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.

• Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
• Ensure system reliability and performance across multiple security classifications and network types.
• Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
• Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
• Influence the long-term product strategy and technical roadmap for the Federal business unit.
• Consult on the architecture of AI-powered solutions for large-scale federal contracts.

Ideally you will have: 

• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

Our customer base is growing exponentially, and you will be on the front lines of ensuring that the world's most innovative companies become passionate, lifelong, Scale customers. Our Solutions Engineers ensure customers' first experiences with Scale's technology are flawless and lead to a successful long-term partnership. The work will vary daily, and we’re looking for technical experts excited to solve tough problems. As a solution engineer, you will be a part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

What you'll do:

• Become an expert on the end-to-ends of Scale Products
• Create tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level.
• Partner with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer.
• Integrate and ingest a variety of external datasets to solve government use cases.
• Interact with customers on a day-to-day basis to understand their pain points and design solutions
• Work with internal product and engineering teams to turn customer requirements into Scale capabilities
• Understand public sector mission sets and strategic objectives to better showcase Scales products.

Ideally you'd have:

• Strong engineering background, preferably in computer science, mathematics, or other quantitative fields
• Strong communication skills - ability to interact with both technical and non-technical customers at all levels
• At ease with technology, able to quickly pick up new tech stacks and troubleshoot
• Previous experience working with Public Sector customers - our business is diverse and growing across both National Security and Federal Civilian communities. 
• Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages.
• A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment
• Active US Government Security Clearance (TS / SCI required)
• Based in the Washington, DC area or willing to relocate
• Background working in AI/ML, particularly Generative AI and Large Language Models

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing.

You will:

• Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Own services or systems and define their long-term health goals, while also improving the health of surrounding components
• Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
• You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Must have:

• At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance

Ideally you'd have: 

• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. 
• Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
• Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. 

Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You’ll play a critical role in delivering technical solutions—all while helping your team grow and execute.

You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs.

Day to day:

• 50% Field engineering - customer engagement, technical development and delivery 
• 50% Managing a growing team

You will:

• Recruit a high-performing engineering team. 
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects. 
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs.
• Work directly with customers to understand their problems and translate those into custom workflows within Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• 5+ years of full-time engineering experience, post-graduation.
• 2+ years of prior engineering management or equivalent experience and previously managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. 
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
• Linux experience: Understanding of shell scripting, operating systems, etc.
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) is a plus.
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Understand unique DoD and USG constraints when it comes to technology.

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments.

You will:

• Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Own services or systems and define their long-term health goals, while also improving the health of surrounding components.
• Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Must have:

• At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance

Ideally you'd have:

• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. 
• Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
• Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and  unique access to massive datasets to deliver improvements to our customers.

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.

You will:

• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
• Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
• Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
• Work with massive datasets to develop both generic models as well as fine tune models for specific products
• Build scalable machine learning infrastructure to automate and optimize our ML services
• Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
• Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
• Comfortable with light travel (approximately 10%) for customer interaction and team needs
• This role will require an active security clearance or the ability to obtain a security clearance

Ideally You’d Have:

• Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
• Solid background in algorithms, data structures, and object-oriented programming
• Strong programing skills in Python, experience in Tensorflow or PyTorch

Nice to Haves:

• Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
• Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
• Experience with computer vision, generative AI models, large language models, or agentic systems
• Familiarity with ML evaluation frameworks and agentic model design

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

Scale is building AI for the world’s most important decisions. From the front lines of national defense to the core of global enterprise, we provide the data engine and agentic infrastructure that powers the next generation of American and allied interests.

As a Defense Deployment Strategist, you will be responsible for bridging the gap between cutting-edge AI research and mission-critical production. You will lead the charge in deploying Agentic AI — autonomous, reasoning systems — into the heart of defense workflows, ensuring that our nation's most complex decisions are supported by the world’s best technology.

Deployment Strategist 

We are looking for a powerhouse executive account leader who understands that winning in the DoW isn't about a successful 6-month pilot; it’s about Program of Record integration. You will focus on landing and transitioning high-stakes prototypes into full-scale enterprise deployments, navigating the complexities of the Valley of Death by securing executive sponsorship and programmed funding.

Responsibilities:

This is an individual contributor role with heavy leadership expectations. You are the "CEO of the Account," responsible for the following:

• Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota. You are responsible for the entire lifecycle: from identifying the top of funnel opportunity and shaping requirements to the final contract award and revenue recognition.
• Tactical Execution: You don't just delegate; you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of defense contracting.
• Operational Transition: Once the deal is signed, your job isn't over. You will continue to lead the account, ensuring that the delivery team (Engagement Managers, Technical PMs, Engineers, and Product) enables mission success. You are the primary point of contact for the customer, ensuring the pilot doesn't just work, but scales.
• Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single deployment into a department-wide enterprise standard.
• Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows. You must be able to translate a customer’s vision into a specific technical requirement that our engineers can build against.
• SI & Prime Orchestration: In partnership with Scale’s Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators (SIs) and Defense Primes to ensure Scale is the agentic AI engine of their larger programs. You will be the lead negotiator for sub-contracting and teaming agreements.

Requirements:

• Experience: 10+ years of experience in complex enterprise IT sales or business development specifically within the DoW/IC.
• Proven Track Record: You have successfully closed and implemented multi-year deals exceeding $25M. You know how to get a line item in the budget.
• Domain Expertise: Deep understanding of the DoW’s modernization priorities, specifically in AI/ML, computer vision, or autonomous systems.
• The Valley of Death Navigator: You have a demonstrated ability to transition technology from "cool demo" to "deployed capability" within a major PEO.
• Strategic Network: Existing high-level relationships across the DoW, with a specific focus on Defense Agencies and enterprise IT,  as well as a Rolodex of contacts at the major primes.
• Clearance: Active Top Secret/SCI clearance is strongly preferred.
• Education: BS/BA required; technical degree or MBA preferred.
• Geography: Based in the National Capital Region, with the ability to work out of Scale’s D.C. office 2-3 days a week. 
• Travel: Ability to travel 20-30% of the time.

Who you are:

• Mission-Driven: You believe that whoever wins in AI wins the next century, and you want that to be the United States and its allies.
• Relentless: You thrive in the long-game of defense procurement. You aren't discouraged by bureaucracy; you see it as a puzzle to be solved.
• Adaptive: You can operate in the high-velocity environment of a Series E startup while maintaining the polish required for the Pentagon.
• The Closer-Operator: You have the executive presence to brief a PEO, but the tactical stamina to spend 10 hours in a SCIF working on a proposal response.
• Radically Accountable: You don't wait for a marketing lead or a BD specialist to hand you a deal. You build your own funnel, navigate the "No's," and find the creative path to "Yes."
• Technically Credible: You aren't a software engineer, but you can explain the difference between RAG and Agentic reasoning to a skeptical technical evaluator.

Sales Commission: This role is eligible to earn commissions.

Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system.

These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential.

Must have:

• At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance.

You will:

• Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products.
• Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.
• Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability.
• Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.
• Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment.
• Document pipeline processes and configurations to ensure maintainability and knowledge transfer.
• Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes.
• Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC.

Ideally you'd have:

• 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role.
• Proven track record of building or significantly enhancing CI/CD pipelines.
• Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell).
• Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
• Knowledge of software architecture, system design, and version control systems.
• Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems.
• Basic understanding of security best practices in software development and an eagerness to integrate them.
• A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows.
• Strong problem-solving, analytical, collaboration, and communication skills.

Nice to haves:

• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Exposure to machine learning lifecycles or MLOps concepts.
• Prior experience in classified environments.

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering — you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps — but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation.

You will:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.
• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.
• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.
• Perform digital incident investigations to identify and contain potential security breaches.
• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.
• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.
• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization.
• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.
• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideally, you'd have:

• • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.
  • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code — not just scripts.
  • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.
  • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.
  • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.
  • Familiarity with digital forensics tools and malware analysis techniques.
  • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.
  • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.
  • Strong communication skills, with the ability to translate complex security findings into clear business impact.
  • Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

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

You will:

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

Ideally, you’d have:

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

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:

• Create multi-layered guardrails around agents
• Optimize data retrieval for agents
• Orchestrate fleets of asynchronous agents
• Automatically alerts users to deviations in data
• Illustrating how an agent reached a decision

As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.

You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.

• Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
• Direct the orchestration of asynchronous agent fleets to meet mission requirements.
• Lead customer engagements to translate mission needs into technical requirements.
• Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.
• Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
• Drive the platform roadmap by providing technical specifications for Federal product offerings.

Ideally you will have: 

• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

Role

We are looking for a Site Reliability Engineer-SkillBridge Intern (San JosA Ca or Bellevue WA) to join our Zero Trust Exchange team. This is a remote role based in San Jose Ca or Bellevue Wa., reporting to the Director, Site Reliability Engineering. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today’s cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, and security experts who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Thrive in ambiguity by building the path as you walk it and viewing dynamic environments as raw material to build something meaningful.
• Act like an owner with a passion for the mission, navigating seamlessly between high-level strategy and hands-on execution.
• Problem-solve by running towards challenges and focusing on solutions that deliver the biggest impact.
• Collaborate with high trust and ambition for the team, giving and receiving candid feedback with clarity and respect.
• Learn with a true growth mindset, actively seeking feedback to become a stronger teammate and better partner.

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience as a Site Reliability Engineer with expertise in Operations, Engineering and FedRAMP compliance, vulnerability management, and continuous monitoring.
• Proficiency in Linux administration, network troubleshooting, and infrastructure as code (Ansible, Terraform) in cloud environments and containerized architectures.
• Must be a current Active Duty United States military member or a member of the United States Guard/Reserve component on active duty orders for at least the last 180 days with 180 days or fewer remaining prior to discharge.
• Obtained approval from your unit commander.
• MOU must be approved and submitted before start.

What Will Make You Stand Out (Preferred Qualifications)

• Experience with containerized architectures such as AWS ECS and Kubernetes.
• Knowledge of web security protocols including HTTP, SSL/TLS, DNS, SQL, and networking fundamentals.
• Coding experience in Python for automation and software integration.

#LI-TJ1 #LI-remote

We are looking for a Senior Sales Engineer to join our Majors West team. This is a remote role, reporting to the Manager of Sales Engineering. The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to drive a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world. 

What you’ll do (Role Expectations)

• Create and deliver technical product presentations to prospective customers

• Gather customer technical requirements to ensure proposed solutions will meet customer goals and needs

• Lead product evaluations and custom product configurations

• Design evaluation test plans with customers and guide the process to successful outcomes

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing ambiguity not as a hindrance but as the raw material to build something meaningful.
• You act like an owner and your passion for the mission fuels your bias for action, allowing you to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed and build deep empathy for the customer to anchor your decisions in solving their real-world problems.
• You are resilient and adaptable, viewing change as an opportunity and maintaining composure and focus in high-pressure situations.

What We’re Looking for (Minimum Qualifications)

• 7+ years of experience as a Sales Engineer or Network Systems integrator
• Bachelor’s degree in Computer Science or a related field, or equivalent working experience
• Proven cybersecurity and networking technical background with hands-on experience in network fundamentals such as TCP/IP, DNS, routing, VPN, and firewalls

What Will Make You Stand Out (Preferred Qualifications)

• Industry standard certifications such as CISSP, CCNA, Network+, CCNP, CCIE, or Security+

#LI-Remote

#LI-AA5

Your Impact

On the Real Time Operations (RTO) Live Streaming team we are building the next generation of live streaming for mission-critical situations. Through Fusus we unify live video, sensor data, and alerts into a single operational view to empower agencies to make faster, better decisions. We design, deploy and manage hardware + software used by first responders and security professionals worldwide. 

As a Senior Software Engineer you will: Build the native foundation for edge video and IoT intelligence across Axon Body cameras and FususCOREs. Own high-performance pipelines from sensor to inference. Shape how SDKs are consumed across mobile and backend surfaces. Define standards for ABI stability and long-term compatibility. Influence architecture decisions at the boundary of hardware, media, and AI.

What You’ll Do

• Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
• Reports to: Senior Software Engineering Manager
• Define the native platform architecture for the next generation of Axon Fusus hardware: this is an opportunity to set the technical direction from vendor and SoC selection through production deployment.
• Set the SDK strategy: define the ABI contracts, versioning guarantees, and FFI boundaries that will outlast any single product generation.
• Design and ship cascade AI pipelines at the edge: chain detection, classification, and analytics models across NPU/GPU/VPU resources to deliver real-time intelligence within the power and thermal constraints of embedded hardware worn + deployed in the field.

What You Bring

• 8+ years of professional software development experience.
• Proven track record of designing and building latency-critical systems that run on embedded and IoT devices.
• Experience designing SDKs with stable ABIs, clear versioning strategies, and cross-language FFI design.
• Familiarity with ARM SoCs (RK3588, Jetson, QCS series) beyond x86 embedded.
• Sets a high technical bar for the team by writing well-tested, maintainable code and leading code and technical design reviews. Leads from the front setting AI coding standards for the team.
• Experience with hardware-accelerated video pipelines a plus.
• Hands-on experience with inference at the edge using NPUs or GPUs — TensorRT, CUDA, ONNX Runtime, or similar a plus.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

ABOUT THE JOB 

We're seeking a full stack Security Software Engineer to develop novel security tooling for securing our suite of products including and detecting potential cybersecurity issues across embedded Linux systems and Android devices. The ideal candidate can develop across the the full stack - from Linux eBPF programs to cloud backends and everything in between.

WHAT YOU’LL DO 

• Design and develop cybersecurity tools for embedded Linux and Android systems.
• Build and maintain backend services with REST APIs running on cloud platforms.
• Create user-friendly frontends using React and TypeScript.
• Manage cloud infrastructure using Terraform and/or AWS CDK.
• Collaborate with cross-functional teams to identify security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS

• 5+ years of software development experience in some combination of Golang, Rust, Kotlin, and TypeScript.
• Proficiency in implementing application backends, including authorization, observability, REST APIs, and NoSQL data persistence.
• Strong experience with frontend development using React and TypeScript.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience in mobile development, specifically on Android platforms.
• Understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with embedded systems and Linux.
• Knowledge of security frameworks and compliance standards.
• Experience with Linux observability and eBPF.
• Experience with CI/CD and test automation, including for mobile devices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

ABOUT THE JOB 

We're seeking a full stack Security Software Engineer to develop novel security tooling for securing our suite of products including and detecting potential cybersecurity issues across embedded Linux systems and Android devices. The ideal candidate can develop across the the full stack - from Linux eBPF programs to cloud backends and everything in between.

WHAT YOU’LL DO 

• Design and develop cybersecurity tools for embedded Linux and Android systems.
• Build and maintain backend services with REST APIs running on cloud platforms.
• Create user-friendly frontends using React and TypeScript.
• Manage cloud infrastructure using Terraform and/or AWS CDK.
• Collaborate with cross-functional teams to identify security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS

• 5+ years of software development experience in some combination of Golang, Rust, Kotlin, and TypeScript.
• Proficiency in implementing application backends, including authorization, observability, REST APIs, and NoSQL data persistence.
• Strong experience with frontend development using React and TypeScript.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience in mobile development, specifically on Android platforms.
• Understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with embedded systems and Linux.
• Knowledge of security frameworks and compliance standards.
• Experience with Linux observability and eBPF.
• Experience with CI/CD and test automation, including for mobile devices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

About MongoDB

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

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

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

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

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

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

REQ ID: 1273362479

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

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

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

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

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

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

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

Req. ID: 1273362664

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

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: 426187

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

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: 425547

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

About MongoDB

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

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

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

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

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

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

Req ID: 4263333172

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

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: 1273373874

Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

We are seeking a Principal Electrical Engineer to lead PCB design within the Agentic Computational Engineering (ACE) platform team and to encode the realities of space-electronics PCB design and manufacturing directly into our generative engine. In this role, you will own end-to-end PCB design — schematic capture, stackup definition, high-speed and mixed-signal layout, signal and power integrity, fabrication and assembly readiness — for flight hardware, and translate that hard-won expertise into the constraints, heuristics, and feedback loops that let our AI agents design boards that can actually be built, qualified, and flown.

You will work at the intersection of PCB design, space-grade manufacturing, and AI — pairing your own hands-on board work with software development that captures DfM, DfA, and DfT considerations as code. This role is ideal for someone who has personally laid out flight boards, knows what fabricators and assembly houses actually need to see on a drawing package, and is excited to guide the team and write the software that lets an agent reason about those same trade-offs. You should be passionate about both leading a team and building this product: not just designing one more board, but multiplying your impact by encoding your judgment into a system that designs the next thousand.

You will be joining the Agentic Computational Engineering (ACE) team, a specialized group within our Advanced Technology Development organization. ACE is responsible for building Voyager’s Generative Engine – the AI-native platform that compresses complex hardware development cycles from years to days. We design agentic AI systems that pair deeply with physics simulation, test data, and modern manufacturing so that Design for Manufacturing (DfM), Design for Assembly (DfA), and Design for Test (DfT) are built into the very first line of code and the very first sketch of a design.

The position reports to the VP, AI & Autonomy and is part of the Technology and Advanced Development department based in Los Angeles, CA; Washington D.C; Seattle, WA.

This role is hybrid based in Los Angeles, CA; Washington D.C; Seattle, WA.

• Own the vision and execution of the PCB vertical of the Agentic Computational Engineering platform — defining how an agentic system should reason about end-to-end PCB design and manufacturing for space-grade flight electronics, and guiding the engineering team that implements it.
• Frame the problem space for the team: catalogue the design and manufacturing decisions a senior PCB engineer makes on a flight program (substrate and stackup, SI/PI, DfM/DfA/DfT, parts derating, fab and assembly liaison, qualification) and translate each into structured problems an agent can solve autonomously.
• Plan the PCB vertical's roadmap in lockstep with AI, simulation, manufacturing, and product leadership — sequencing capabilities, identifying high-leverage bets, and articulating clear success criteria for each agentic capability we ship.
• Educate the team continuously on space-electronics PCB design and manufacturing — running design-review walkthroughs, writing internal references, and turning your judgment into shared mental models the rest of the team can build against.
• Drive product taste for the PCB vertical: define what a great agent-generated design package looks like, what quality bar it must hit, and where the agent should defer to a human — so the team builds something that practicing PCB engineers actually trust.
• Lead testing and qualification of agent-generated designs — running design reviews, fabricating and assembling representative boards, and executing electrical, environmental (vibe, thermal, EMI/EMC), and radiation campaigns to evaluate real-world performance.
• Provide detailed, structured feedback to the team building the platform — turning every test, fab spin, and design review into specific, actionable signals that improve the agents, the constraint models, and the simulation tie-ins.
• Partner with fab houses, assembly houses, and component vendors to encode their real constraints — IPC class 3, NASA workmanship, lead times, parts availability, qualification artifacts — into the platform so generated designs are buildable on the first spin.
• Set the technical direction for AI-driven tooling in the PCB vertical (Python/C++ services, LLM-based agents, scripting), guiding engineers on how to decompose PCB-engineering judgment into agents that can make decisions autonomously and explain them.
• Represent the PCB vertical to Voyager hardware programs and external customers — communicating capabilities, limitations, and the roadmap with the credibility that comes from having designed flight hardware yourself.

In this role, the essential functions are:

If your experience aligns with our basic qualifications and you are inspired by our mission, we’d like to connect. If you don’t see the right role right now, Join Our Talent Community and stay connected as we continue to build what’s next. 

• 12+ years of hands-on PCB design experience for space, aerospace, defense, or other high-reliability electronics, including delivered flight or flight-equivalent hardware on programs you can speak to in depth.
• Demonstrated technical leadership of a PCB or hardware function — setting direction, mentoring engineers, owning quality, and being the person the rest of the team escalates to on hard design and manufacturing calls.
• End-to-end mastery of the PCB process — schematic capture, multi-layer stackup design, controlled-impedance and high-speed routing, mixed-signal and RF layout, SI/PI analysis, DfM/DfA/DfT, fab/assembly liaison, bring-up, and environmental/qualification testing — in Altium Designer or equivalent ECAD.
• Excellent product taste: a track record of deciding what to build, what quality bar to hold, and what to cut — and articulating those calls clearly to engineering, product, and program stakeholders.
• Strong communication and teaching ability — comfortable running design reviews, writing internal documentation, and educating non-PCB engineers (AI, software, simulation, manufacturing) on what matters and why.
• Strong programming skills in Python and/or C++, and demonstrated use of AI tools, LLMs, or scripting to automate engineering work — design reviews, BOM management, layout checks, parts-stress analysis, or data pipelines.
• Ability to define how an agentic system should reason about engineering problems — decomposing PCB design and manufacturing decisions into objectives, constraints, and feedback signals an autonomous agent can act on.
• Genuine passion for building this product: excited to lead a team that turns your hard-won PCB judgment into a generative engine designing the next thousand boards.
• Ability to obtain and maintain a U.S. Top Secret Security Clearance.

Preferred Qualifications: 

• Master's or PhD in Electrical Engineering or related discipline.
• Experience leading PCB design or hardware engineering at NASA centers, JPL, major space primes, or new-space companies; familiarity with PDR/CDR processes, NASA workmanship standards (NASA-STD-8739), SMC-S-016, MIL-STD-461G, WCCA/EPSA, and IPC class 3.
• Hands-on experience with FPGA/SoC-based single-board computers (e.g., Xilinx Ultrascale+ MPSoC, GR712, RTAX/RTG4), high-speed ADC/DAC layout, and RF front-ends across UHF through Ka-band.
• Experience defining or qualifying substrates and stackups (e.g., Rogers, Isola Tachyon/MT-40) against electrical, thermal, and radiation-environment requirements, and running radiation effects testing (TID, SEE, SEL, SEU).
• Familiarity with systems-engineering tooling (JAMA, DOORS, Jira) and EICD/requirements practices spanning box, slice, and board level.
• Track record of building or leading the build of internal tooling, design automation, or AI/LLM-based assistants that measurably improved PCB design or review throughput.
• Experience guiding software or AI engineers — translating engineering domain knowledge into specifications, evaluation criteria, and feedback that shape what gets built.
• Evidence of personal projects in electronics, robotics, or RF — the kind of work where you build the thing yourself for the love of it.

The good faith base salary range for this role is$225,000 - $290,000 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.

This position is incentive plan eligible.

Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.  

• Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance

• Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees
• Flexible, affordable gym memberships with 12,700+ options nationwide including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness and more! No long-term contracts and FREE on-demand workout videos before you enroll

• 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security

• Company wellness programs that support physical and mental well-being

• Additional voluntary benefits and employee support resources
• The opportunity to work alongside a highly talented team in an innovative, mission driven environment

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. 

Able to obtain and maintain a U.S. security clearance

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

THE ROLE

Pure1 is the unifying manageability and intelligence layer on top of all Everpure products and services - FlashArray, FlashBlade, CBS, Portworx and more. It is the nexus of our promise of a simple customer experience, providing insights and tools to help make our customers’ lives better.

WHAT YOU'LL DO

• Working on end-to-end lifecycle application development across the full stack (roughly 50% frontend and 50% backend, vary quarter by quarter). AI tooling fluency is preferred: you are expected to use AI to generate over 70% of your code.
• Brand new subscription and commerce features and as-a-Service offerings to surface customer needs and bring completely new sources of revenue to the company
• Web infrastructure and Data processing pipelines that manage petabytes of data being sent home to our cloud hosted systems in real-time
• An industry-leading SaaS cloud platform, Pure1 Manage, which allows customers to manage their array from any browser or from the Pure1 Mobile App. We build tools to manage large fleets of devices and help customers identify and quickly diagnose issues across the stack
• Machine learning models allowing for predictive analytics to help resolve potential issues and optimize customer workloads
• Designing, developing and maintaining customer-facing and internal-facing web applications, leveraging AI design tools and using technologies such as backend micro-services in Java, Python, NodeJS, and in collaboration with our UX team for frontend work in Angular and Typescript
• Experimenting with AI on new technologies and architectural patterns such as containers (k8s) or micro-frontends, in order to push the state-of-the-art and innovate new solutions
• Collaborating with peers and stake-holders to identify requirements and take solutions from initial design to production
• Leading/driving a project’s implementation, including coordinating other engineers’ work
• Bringing a focus on design, development, unit testing, code reviews, documentation, continuous integration and continuous deployment
• Continuously explore and develop use of AI in all above areas to help accelerate the development life cycle and reduce traditional software development and maintenance pain points
• We are primarily an in-office environment and therefore, you will be expected to work from the Bellevue office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 5+ years of professional experience designing, implementing and testing various product components
• Leadership experience driving projects from requirements to release, including directing other engineers
• Experience using AI to generate production quality code and familiarity with current AI development tools
• 5+ years combined experience in Java and Javascript, or equivalent. Nice to have: Python, Typescript
• Ability to thrive in a highly collaborative and team-oriented environment
• Ability to monitor and support multiple concurrent projects with fast context switching
• Knowledge of AWS, Kubernetes, networking infrastructure. Angular, NoSQL are a plus
• Eagerness to explore using AI tools to improve development and process efficiency

#LI-ONSITE

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of UAS threats. Working across product, engineering, business development, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems in challenging operational environments worldwide.

ABOUT THE JOB

We are looking for a Mission Operations Engineer to join our USAF team. In this role, you will resource and help execute world-class technical training instruction to our partner components and their unique demands. Further, you will be the counter unmanned systems (cUAS) subject matter expert for components and help them resource realistic training and manage all hardware and software configuration of cUAS-peculiar equipment under the Anduril family of CUaS systems. Multi-functional work and proactive communication across internal teams will help you drive the end-to-end customer experience. If you are passionate about educating others on ground-breaking technology, contributing to the national security mission, interacting alongside professionals that span a wide-range of disciplines, and providing best-in-class training support, Anduril is interested in speaking with you.

We are a fast-growing company at the early stages of our growth and you will be expected to immediately develop and own material and projects during your time on the team which will have a significant impact on the Program’s trajectory. Anduril fosters a diverse, collaborative, culture with plenty of opportunities for ownership and professional growth.

WHAT YOU'LL DO

• Deliver training and education to a USAF component across the entire family-of-systems
• Contribute to training curriculums (eg, POIs) across a variety of platforms, ranging from computer-based simulations and knowledge portals to hands-on individual and collective training
• Collaborate with a USAF customers and own the cUAS problem for them by identifying knowledge gaps, training opportunities, and building solutions
• Create and update training material for Anduril and partner product capabilities
• Manage the end-to-end hardware and software configurations for all assigned cUAS equipment
• Assist in the sustainment and deployment of the Anduril family-of-systems

REQUIRED QUALIFICATIONS

• 8 years work experience
• Ownership mentality with strong initiative in managing your own work in isolated environments
• Resourcefulness. You should have a natural bias towards action and assume responsibility very early on in your Anduril career
• Independent collaborator. You should be comfortable representing Anduril at a remote site, co-located with the customer, and work well to push your customer’s capabilities while
• Training background. Ideally planning training events, developing curriculum and/or delivering training
• Comfort with communicating complex thoughts simply across various methods of communication and tools
• Enthusiasm towards transforming US and allied military capabilities with advanced technology
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Special Operations experience required, USAF experience highly preferred
• Willing to travel up to 50%

Position is full-time at the Washing D.C. office but requires travel to support customer delivery and training events.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Signal Processing Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for leading the development discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Lead the development of discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Mentor engineers and provide technical leadership on signal processing approaches and best practices
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
• 8+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Proven expertise in EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Strong proficiency with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Demonstrated technical leadership experience with ability to mentor engineers and drive technical direction
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Proven expertise developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Signal Processing Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for developing discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Develop discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
• 5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Strong understanding of EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Experience with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Experience developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains