ABOUT THE TEAM

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

ABOUT THE JOB

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

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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

ABOUT THE TEAM

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

ABOUT THE JOB

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

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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

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

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

ABOUT THE TEAM

Anduril's Application and Security Engineering team is looking for a Staff Security Engineer to focus on Identity and Access Management and build and maintain world class defensive controls to protect the systems we use to build our advanced defense technology products.

WHAT YOU'LL DO

• Build an identity engine that powers the whole company and supercharges our security program
• Create applications that enable and enforce our identity framework across the company
• Develop integrations that unify identities across IdPs, cloud providers, SaaS tools, and internal systems
• Automate identity lifecycle operations: provisioning, access reviews, offboarding
• Collaborate with other IAM engineers and partner teams to define architecture and ship iteratively

REQUIRED QUALIFICATIONS

• Strong programming ability in one or more general purpose languages (Go, Rust, etc)
• Experience with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity
• Experience with identity protocols (SAML, OIDC, SCIM, OAuth) or identity providers (Okta, Azure AD, etc.)
• Proven ability to translate system design requirements into clean, maintainable implementations
• Experience leading or contributing to architecture and design reviews
• Experience working with cloud platforms and deploying applications through CI/CD pipelines
• Ability to work autonomously, take ownership of projects, and collaborate across teams
• Eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Have worked in environments with complex identity or access issues, troubleshooting across distributed systems
• Familiarity with RBAC, ABAC, or policy-as-code frameworks (e.g., OPA, Cedar)
• Experience building bespoke solutions in high-growth and high-complexity environments
• Experience with AWS, Azure, or GCP ecosystems and tooling

ABOUT THE TEAM

Anduril's Application and Security Engineering team is looking for a Staff Security Engineer to focus on Identity and Access Management and build and maintain world class defensive controls to protect the systems we use to build our advanced defense technology products.

WHAT YOU'LL DO

• Build an identity engine that powers the whole company and supercharges our security program
• Create applications that enable and enforce our identity framework across the company
• Develop integrations that unify identities across IdPs, cloud providers, SaaS tools, and internal systems
• Automate identity lifecycle operations: provisioning, access reviews, offboarding
• Collaborate with other IAM engineers and partner teams to define architecture and ship iteratively

REQUIRED QUALIFICATIONS

• Strong programming ability in one or more general purpose languages (Go, Rust, etc)
• Experience with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity
• Experience with identity protocols (SAML, OIDC, SCIM, OAuth) or identity providers (Okta, Azure AD, etc.)
• Proven ability to translate system design requirements into clean, maintainable implementations
• Experience leading or contributing to architecture and design reviews
• Experience working with cloud platforms and deploying applications through CI/CD pipelines
• Ability to work autonomously, take ownership of projects, and collaborate across teams
• Eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Have worked in environments with complex identity or access issues, troubleshooting across distributed systems
• Familiarity with RBAC, ABAC, or policy-as-code frameworks (e.g., OPA, Cedar)
• Experience building bespoke solutions in high-growth and high-complexity environments
• Experience with AWS, Azure, or GCP ecosystems and tooling

Position Overview

The Senior Clinical Data Manager (Sr. CDM) is responsible for leading end-to-end data management activities across one or more complex clinical trials. This role ensures high-quality, reliable clinical data that meets regulatory standards and supports timely clinical development decisions. The ideal candidate is a proactive problem solver with experience in data standards, EDC systems, and cross-functional collaboration. 

Responsibilities

Study Planning & Start-Up 

• Serve as the data management lead for assigned clinical studies, providing strategic input into protocol design and data collection strategy. 

• Develop and manage Data Management Plans (DMPs), CRF/ eCRF specifications, edit check specifications, and data validation plans. 

• Lead EDC system set-up, UAT, and deployment; coordinate with external vendors and internal biometrics teams. 

Execution & Oversight 

• Oversee all data review activities, including query management, data cleaning, discrepancy resolution, and ongoing data quality monitoring. 

• Ensure adherence to CDISC/CDASH/SDTM standards where appropriate, as well as applicable regulatory requirements (ICH-GCP, FDA, EMA). 

• Track study metrics, identifying risks and implementing mitigation strategies to maintain high-quality and timely deliverables. 

• Manage interactions with CROs, central labs, imaging vendors, and other data contributors. 

Close-Out & Reporting 

• Lead database lock activities, ensuring audit readiness and complete documentation. 

• Support statistical programming and medical writing teams in delivering data for interim analyses, CSR outputs, and regulatory filings. 

• Contribute to process improvements and knowledge sharing within the data management function. 

Qualifications

• Bachelor’s degree in relevant field 

• A minimum of 5 years of Clinical Data Management experience in the biotech/pharma industry. Oncology experience is strongly preferred.  

Knowledge and Skills

• Demonstrated expertise with EDC systems (e.g., Medidata Rave, Oracle InForm, Veeva CDMS). 

• Understanding of clinical trial methodology, regulations, and data standards. 

• Experience leading data management activities for Phase I–III global clinical trials. 

• Vendor oversight experience and ability to drive cross-functional alignment. 

• Knowledge of FDA, ICH-GCP, and 21 CFR Part 11 compliance. 

• Excellent communication, documentation, and project management skills. 

Position Overview

The Senior EDC (Electronic Data Capture) Programmer (Sr. EDCP) is responsible for leading the design, development, and maintenance of clinical trial databases in an EDC system. This role will work closely with Clinical Data Management, Biostatistics, Clinical Operations, and external vendors to ensure high-quality, compliant data collection systems that support efficient trial execution. 

Responsibilities

• Lead the design, build, validation, and deployment of a study build within an EDC system. 

• Develop and maintain edit checks, custom functions, derivations, and integrations. 

• Review study protocols and provide input on CRF design and database structure. 

• Collaborate with Data Management to ensure alignment with data standards (CDISC, SDTM where applicable). 

• Perform User Acceptance Testing (UAT) and support database releases and migrations. 

• Ensure EDC systems comply with regulatory requirements (FDA, ICH-GCP, 21 CFR Part 11). 

• Troubleshoot and resolve database issues in a timely manner. 

• Oversee and/or mentor junior programmers or external vendors. 

• Contribute to SOP development and process improvements. 

• Support data integrations with external systems (IRT, ePRO, labs, etc.). 

• Maintain documentation including specifications, validation records, and audit trails. 

Qualifications

• Bachelor’s degree in relevant field. 

• A minimum of 5 years of EDC programming experience in the biotech/pharma industry. Oncology experience is preferred.  

Knowledge and Skills

• Strong hands-on experience with at least one major EDC platform (Medidata Rave preferred). 

• Solid understanding of clinical trial processes and data flow. 

• Experience with CDISC standards (SDTM, CDASH) is preferred. 

• Familiarity with regulatory requirements (ICH-GCP, 21 CFR Part 11). 

• Strong problem-solving skills and attention to detail. 

• Ability to manage multiple studies and priorities. 

What We're Looking For

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

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

What You’ll Do

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

What You’ll Need

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

Compensation

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 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

MongoDB’s People team is on a journey to optimize our compensation programs for scale. We are looking for strategic and analytical individuals to drive innovative, competitive compensation rewards programs that attract, reward and retain our best assets, our people!

To that end, our Global Compensation team is looking for a Senior Director, Compensation Partners to play significant leadership across MongoDB’s global compensation programs, co-leading the team alongside the Director of Compensation Operations Reporting to our VP, Total Rewards,  you will serve as a trusted advisor to senior leaders and a key architect of our compensation strategy as we continue to scale globally. 

What You Will Do

Strategic Leadership

• Define and evolve global compensation strategy aligned with business goals, growth stage, and talent needs
• Advise senior leaders (Engineering, Product, Sales, and G&A) on compensation trends, market competitiveness, and equity practices
• Balance market competitiveness, pay equity, and cost efficiency in a fast-moving tech environment

Compensation Programs & Projects

• Lead the design and evolution of global compensation philosophy, ensuring alignment with company strategy, talent needs, and market competitiveness
• Own job architecture strategy, including leveling frameworks, job families, and career structures, to support consistency, clarity, and growth at scale
• Drive complex, cross-functional compensation initiatives from concept through implementation, acting as DRI and accountable owner for outcomes, timelines, and quality
• Partner with Director, Compensation Operations to design and implement scalable frameworks, tools, and processes that enable effective, consistent compensation decision-making globally
• Benchmark against peer tech companies and evolving talent markets

Business Partnership

• Lead and develop a global team of Compensation Partners supporting multiple business units
• Advise on hiring offers, promotions, retention, and organizational changes, especially for critical technical roles
• Use data and market insights to guide compensation decisions in competitive talent markets

Cross-Functional Collaboration

• Partner with Finance on compensation planning, forecasting, and equity spend
• Collaborate with HRIS and People Analytics to improve tools, modeling, and reporting
• Work with Recruiting to support competitive, scalable hiring strategies

Team Leadership

• Lead, coach, and develop a high-performing compensation team
• Build a culture of accountability, data-driven decision-making, and continuous improvement

Who You Are

• Strategic leader and trusted advisor: You shape decisions and influence outcomes at the senior leadership level, owning complex, high-impact initiatives end-to-end across strategy and execution.
• Operator with executive range: You seamlessly move between detail and big picture, diving deep when needed, connecting cross-functional dots, and driving enterprise-wide impact. You thrive in a fast-paced, evolving environment, bringing focus and prioritization while navigating shifting demands and organizational complexity.
• Driver of clarity, alignment, and execution: You cut through ambiguity, challenge assumptions, and align stakeholders to make clear decisions and deliver results across complex initiatives.
• Compensation expert with SaaS and global perspective 15+ years of experience with deep expertise in broadbased, Sales incentives plan design, and executive compensation, ideally within SaaS environments. Experienced operating internationally, with strong understanding of global market practices and regulatory considerations.
• Builder of teams and culture
• You create alignment, trust, and camaraderie across teams. You lead through influence, develop others, and foster an environment of high performance and collaboration.

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 #2273426452

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

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 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

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

The Election Analytics team produces flagship, standard-setting elections coverage, including the live, election night statistical model known as the Needle and The New York Times/Siena Poll. Both of those efforts rely on one of the most comprehensive election data operations in media, with the voter file at the core.

We’re just scratching the surface of all the journalistic products we could produce with the voter file and the rest of the data we collect — absentee files, precinct-level results, live turnout figures, poll results and more. But our tooling has not always kept pace with our ambitions.

You will be responsible for owning this mass of data end-to-end, for ensuring that we have reliable, automated pipelines for putting the data into consistent formats and for validating that the data is being transformed correctly. You will also be responsible for the tooling to work with the data, ensuring that more data journalists can leverage it without the existing steep learning curve. (We are an R shop, though prior R experience is not a necessity.) If you like solving problems for which there is little, if any, documented precedent, this would be a fun job for you.

Your work will ensure that we can even more regularly tell compelling stories about voting patterns and elections, whether they take the form of articles or evolve into new products that deliver as much insight as our polls and the Needle. You will be a key part of producing these stories and products, working with other journalists to understand the data that is available and transforming the data into new formats as needed.

You will also contribute to other areas of our elections coverage based on your skills and interest, including opportunities to pursue original reporting on your own and to collaborate on stories, graphics and tools for readers based on government, polling and other types of data.

This is an in-office position based in New York City or Washington, D.C., and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance.

To apply, you MUST include a cover letter of no more than 300 word that...

        - described the solution you developed to a unique technical problem, preferably one around data; and

        - directly addresses your interest in and experience with the type of data you expect to be working with in this role

Responsibilities:

• Develop libraries in R that form the basis of our apps

• Work with colleagues to onboard them to existing tools and develop new tooling as needed

• Maintain the pipelines that process and score the voter file, a list of registered voters that forms the basis of much of our work

• Develop tooling to support, deploy and monitor R apps in Google Cloud and Amazon Web Services

• Balance engineering principles with the need to move at the speed of news

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

• This role reports to the Director of Election Analytics

Basic qualifications:

• 5+ years of relevant work experience

• Familiarity working with large data sets and with best practices in data management

• Experience working with data-oriented programming languages, such as R or Python, specifically creating packages or libraries, debugging third-party software and otherwise using scripting languages to power complex apps

• Experience working with cloud computing providers such as Google Cloud Platform or Amazon Web Services

• Experience solving complex problems that require developing original solutions

• Experience working on tight deadlines and making tradeoff decisions to ensure the deadlines are met

• Experience working collaboratively with people of different skills and backgrounds

• Willingness to work a flexible schedule as needed to support coverage of elections and polls

Preferred qualifications: 

• Journalistic experience or interest in reporting, particularly on elections

• Experience developing ETL pipelines, working with orchestration tooling, and ensuring reliability and observability

• Experience with Google BigQuery or other OLAP databases; knowledge of patterns for data warehousing and analytical stores; or knowledge of formats and tools for working locally with large data sets

• Experience developing high-speed modeling applications

• Experience building productionized apps, preferably HTTP-based

This position is represented by the NewsGuild of NY.

REQ-019971

THE ROLE:

Are you passionate about driving innovation in the cyber resilience space? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer within a Pod model for an emerging business positioned for high growth

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Delight customers and teammates with your technical leadership and domain expertise in Disaster Recovery and Cyber Resilience, storage products, and competitive offerings in the DR and Cyber Resilience product spaces
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Take control of evaluations, benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise software, SaaS, storage, or cloud to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered Cyber Resilience and Disaster Recovery solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Working knowledge of applications relevant for DR/Cyber Recovery including Active Directory, DNS, Layer 2/3 networking
• Working knowledge of VMware (vCenter, ESX, virtualized storage and networking)
• Working knowledge of AWS (EC2, EBS), Azure, GCP, containers, k8s and microservices architectures a plus
• Strong focus on understanding how to speed up PoCs to move pipeline opportunities from validation to late-stage/deal close
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Excellent verbal and written interpersonal skills

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#LI-REMOTE

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

About the Role

The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco’s advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.

Responsibilities

• Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
• Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
• Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
• Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
• Improve system observability, resilience, and performance in high-throughput, low-latency environments.
• Mentor engineers and help define best practices for data and backend engineering.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
• 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
• Proven experience designing and building large-scale distributed systems and backend services.
• Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
• Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
• Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).

Preferred Qualifications

• Experience with Feature Infra / Feature Store architecture and operations.
• Experience in Identity Graph design and construction to enhance user signal quality.
• Deep familiarity with AdTech or Machine Learning infrastructure domains.
• Experience working with Petabyte-scale data and high-availability systems.

The Opportunity:

• Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress.
• Own and drive cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage large cloud infrastructure.
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.
• You have worked with big cloud players like GCP, AWS, OCI, Azure, etc.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ML Infra and Adtech
• Experience with Multi Cloud infrastructure 
• Passionate for learning about technologies and products

About the Role:

We are looking for a Staff Software Engineer to join our Ads Data Warehouse team, which builds and evolves the core data infrastructure that powers all data-driven products and analytics across the company.

The Data Warehouse team is responsible for foundational systems such as data lineage, data catalog, access control, and compliance frameworks—enabling teams to securely and efficiently leverage data for decision-making, analytics, ML modeling, and Ads optimization.

As a Staff Engineer, you will define the technical vision and strategy for the Ads Data Warehouse, ensuring that our infrastructure scales to meet the growing complexity of our Ads ecosystem. You will lead architectural design, drive cross-team initiatives, and mentor engineers across teams. Your work will establish the foundation for reliable, compliant, and discoverable data across the entire company.

Responsibilities:

• Define and drive the technical roadmap and architecture, aligning the direction with product, analytics, ML, and infrastructure needs.
• Lead the design and evolution of core data systems, including data lineage, metadata management, and data catalog systems.
• Partner with cross-functional leaders to establish data governance, access control, and compliance frameworks that ensure data integrity and regulatory alignment.
• Build and scale high-reliability systems that power both real-time and batch data workflows across Ads and analytics use cases.
• Influence engineering culture by defining best practices for data modeling, observability, and developer experience.
• Drive cross-org initiatives to improve data quality, discoverability, and system adoption.
• Mentor senior engineers and help develop technical leadership across the data and infrastructure organization.
• Act as a trusted technical advisor to product and engineering leadership on strategy and scaling challenges.

Qualifications:

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
• 8+ years of experience in software engineering, with a strong focus on data infrastructure, platform systems, or distributed architectures.
• Proven experience designing and scaling large-scale data platforms or data-intensive systems.
• Strong proficiency in Golang, Python, or Java.
• Deep understanding of distributed systems, metadata management, and data modeling principles.
• Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) and data orchestration frameworks (e.g., Airflow, Beam, Dataflow, Kafka).
• Demonstrated ability to define and lead complex technical initiatives that span multiple teams or domains.
• Excellent communication skills, with the ability to influence and align stakeholders across engineering, product, and compliance.

Preferred Qualifications:

• Experience leading the design and development of data governance systems at scale, such as data catalog, data lineage, and/or data asset management.
• Expertise in data governance, access control, and privacy compliance frameworks (e.g., GDPR, CCPA).
• Deep understanding of metadata-driven architectures, data quality frameworks, and observability systems.
• Proven ability to set long-term technical direction, guide multiple teams through architectural transitions, and drive platform adoption.
• Recognized for technical mentorship, thought leadership, and fostering a culture of excellence in data infrastructure engineering.

Expression of Interest

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

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

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

About the Role

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

The Opportunity

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

Expertise We Value:

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

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

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

Our Tech Stack:

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

How You Work: 

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

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

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers Enterprise West, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 8+ years pre-sales engineering experience and solution selling.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as presales or professional services, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, backend (Java, C#, Node.js, Python) development, scripting (Bash, Powershell, Perl)
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• You're an exceptional communicator, adept at simplifying complex technical concepts for diverse audiences, including highly skilled experts in large group settings.
• A confident and articulate presenter, you excel at sharing knowledge and insights with experienced technical professionals and large expert audiences.
• Demonstrated ability to effectively communicate complex technical information to highly skilled and experienced audiences, whether one-on-one or in large presentations.
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You ideally have

• Proven experience designing, implementing, and managing Privileged Access Management (PAM) solutions in enterprise environments.
• Deep understanding of the challenges and best practices associated with securing privileged accounts, including just-in-time (JIT) access, session recording, credential vaulting, and secrets management.
• Practical experience managing Windows Server, Active Directory, LDAP, and Federation services.
• Proficiency in UNIX/Linux, database security, network security, scripting, and DevOps practices preferred.
• Relevant experience with enterprise applications, security management, systems management, identity management, and/or policy management solutions, particularly in the areas of Identity and Privileged Access

P24432_3342674

LI -Remote

LI-LS

Senior Solution Sales Engineer - 

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience
• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A Strong Understanding of Identity & Access Management (IAM)
• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

 This role requires in-person onboarding and travel to an office in the U.S. during the first week of employment.

#LI-hybrid

#LI-LSS1

P24454_3336681

The Solutions Engineering Team
We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer, Auth0 Opportunity
Reporting to the Sr. Manager, Solutions Engineering, Strategic Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Enterprise Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role:

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

You might also have (not mandatory):

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with micro services, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

#LI-LSS1

#LI - Remote

P23532

The Senior Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Sr Solutions Engineer (Corporate New Business) is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. A background in software development and experience with developer-centric identity platforms (such as Auth0) can be particularly impactful, enabling you to deeply understand and articulate the value of Auth0 by Okta from a technical implementer's perspective.

What you’ll be doing 

• Work alongside the Corporate/New Business (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues especially those faced by development and product teams - and provide product demonstrations to align our solutions with customer needs.
• Answer product features and technical questions from customers, partners and Okta colleagues.
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed. This will include scripting and coding to showcase Auth0’s capabilities.
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value.
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team.
• Stay current on competitive analysis and market differentiation.
• Support marketing events including executive briefings, conferences, user groups, and trade shows.
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge.

What you’ll bring to the role

• 8+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• Leverage your software development background to effectively communicate with technical audiences, including developers, architects, and DevOps engineers, translating their requirements into robust solutions.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Preferred Experience (bonus points):

• Trusted Advisor in your sales region (Area Sales Director and Area Vice President)
• Experience leading highly strategic technical sales plays, targeting new account acquisitions, or transferrable experiences preferred.
• Creation of reusable artifacts to be adopted by the presales and/or sales community.
• Publication of thought leadership documentation externally annually.
• Technical leader among peers and a mentor to help grow others in the segment.

LI#Remote

LI#CM

P7161_3396398

Okta’s Business Technology organization builds secure and intelligent internal platforms that power our global workforce. Our AI & Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.

We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals — all with scale, governance, and user experience in mind.

The Opportunity

As a Senior Software Engineer, Applied AI, you’ll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers.

You’ll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.

What You’ll Do

• Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.

• Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.

• Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.

• Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue — with a focus on usability, performance, and trust in AI outputs.

• Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily "drop in" GenAI capabilities into their own applications.

• Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).

• Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).

• Ensure security, privacy, observability, and test coverage across the full stack.

• Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.

• Partner with platform and infrastructure teams to ensure services scale reliably across the org.

What You’ll Bring

• 5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.

• Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.

• 2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.

• Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.

• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).

• Familiarity with secure coding, authentication/authorization, and internal data governance best practices.

• Ability to collaborate across engineering, design, and product teams — with a strong sense of user empathy and technical ownership.

• Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.

Why Join Okta

• Make AI Real: Design and build AI-powered apps used daily by Okta employees.

• Full-Stack Challenge: Tackle end-to-end problems — from LLM orchestration to intuitive UIs.

• Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.

#LI-MK1

#LI-hybrid

P24739_3355024

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to educate Okta’s Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey. 

We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineers, this Senior Solutions Engineer (Okta) will partner with Commercial Account Executives. As a Senior Solutions Engineer at Okta, you will be the technical lead in all stages of the customer lifecycle. You will focus on delivering customer value by aligning customer requirements to business results enabled by Okta solutions. You will contribute to account and opportunity strategies and, collaboratively, demonstrate the value of Okta solutions through presentations, whiteboard sessions, and proof-of-concept demonstrations.

What You’ll Do

As a Senior Solutions Engineer, you’ll be a strategic technical expert for a customer-facing sales team. You'll use your skills to:

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Serve as a technical advisor: Partner with the sales team to educate customers on Okta’s identity solutions and demonstrate their value.
• Solve customer challenges: Understand customer needs and provide tailored product demonstrations to show how our solutions can solve their business problems.
• Lead technical engagements: Answer product and technical questions, and plan and deliver complex Proofs of Concept (POCs) by collaborating with other Okta engineering teams.
• Drive product and knowledge growth: Share customer feedback with our product teams to influence future enhancements and contribute to the team's knowledge by sharing best practices and reusable assets.
• Stay ahead of the curve: Keep up with competitive analysis and market differentiation to better position Okta.
• Support company events: Represent Okta at marketing events, including conferences, user groups, and trade shows.

What You’ll Bring

• Experience: 8+ years of experience in pre-sales engineering and solution selling, with a strong background in Enterprise account segments.
• Technical Acumen:
• Deep understanding of identity protocols (e.g., SAML, OIDC, OAuth, FIDO, Passkeys, SCIM, LDAP).
• Working knowledge of cloud platforms like AWS, Azure/Entra, and GCP.
• Experience with REST APIs and SDKs.
• Hands-on experience in one or more of the following: front-end web development, back-end development, scripting (Bash, PowerShell), or DevOps (Docker, Kubernetes).
• Understanding of identity-related cybersecurity topics (e.g., phishing, MFA bypass attacks, privilege escalation).
• Communication & Presentation Skills: The ability to simplify complex technical concepts and deliver compelling presentations to diverse audiences, from developers to C-level executives. You should be skilled at diagramming user journeys and complex architecture.
• Strategic Mindset: Proven skills in territory management, including building pipelines and collaborating with sales counterparts.
• Travel: Ability to travel up to 25% of the time.
• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

Bonus Skills (Ideally, You Have)

• Experience in the IAM space
• Hands-on knowledge of Identity Governance (IGA) or Privileged Access Management (PAM) solutions.
• Practical experience with Windows Server, Active Directory, LDAP, and Federation services.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-Remote

#LI-CM

P10563_3394826

Sr. Product Marketing Specialist, Cloud Service Providers (CSPs)

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

Core Responsibilities

Role Summary

As a Senior Product Marketing Specialist for Cloud Service Providers (AWS and Google Cloud), you will drive go-to-market efforts that align Okta’s identity platform with the business strategies and solutions of key global partners. You’ll be responsible for creating scalable sales plays, positioning frameworks, and enablement assets tailored to joint value propositions across multiple verticals and geographies.

This role demands a strategic, collaborative, and execution-oriented marketer who thrives on working cross-functionally with Sales, Product, Partner, and Regional Marketing teams to accelerate pipeline, partner-sourced revenue, and global awareness.

Go-to-Market Execution

• Support cross-functional product launches and solution rollouts in collaboration with CSP partners.
• Support integrated campaigns to drive CSP pipeline.
• Own the development of partner-specific value props, solution overviews, pitch decks, and playbooks.
• Collaborate with Enablement to plan and execute enablement materials, to be delivered both internally and externally (with partners).

Content Creation & Cross-functional Collaboration

• In collaboration with partner marketing and external agencies, author partner-branded content such as solution briefs, customer case studies, and blog posts to support demand gen and awareness.
• Partner with Campaigns, Field, and AR/PR to amplify CSP narratives and momentum.
• Support executive comms and partner events with messaging, abstracts, and on-stage presence content.

Qualifications

• 5+ years in B2B Product Marketing, Partner/Channel Marketing, or a GTM Strategy role
• Strong experience working with or supporting Cloud Service Providers (such as AWS and Google Cloud)
• Proven ability to create compelling messaging and enablement for technical and business audiences

• Demonstrated success in launching partner GTM programs that drive measurable results
• Excellent communication, project management, and cross-functional collaboration skills
• Adept at managing ambiguity, prioritizing effectively, and balancing strategic with tactical execution
• Bachelor’s degree required; MBA or equivalent experience preferred

#LI-Hybrid 

P24846_3413805

LightFeather is seeking a Senior GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

LightFeather is seeking a Lead GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

LightFeather is seeking a Cloud Engineer – GCP who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

LightFeather is seeking a GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

Washington D.C. Pay Range:

$160,000 - $180,000 USD

LightFeather is seeking a GCP Cloud/DevOps Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

SUMMARY

As a Senior Solutions Engineer, Public Sector, you will be responsible for supporting our Federal Civilian and DoD customers, reporting to the Federal Solutions Engineering Manager. You will partner directly with regional account executives to help change our customers’ view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution.  

WHAT YOU’LL DO 

• Partner with the sales team to provide technical leadership to our Federal customers and prospective customers in conjunction with helping our team meet their quarterly sales targets. 
• Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes. 
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value). 
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset. 
• Represent Wiz in technical forums such as trade shows, technical meetups, and industry events. 

WHAT YOU’LL BRING 

• Ability to deliver world class demonstrations and training experience to our Federal Civilian and DoD customers 
• Mastery of the technical sales process 
• Ability to thrive in a creative technical role assisting partners to build a technical business delivery model 
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers 
• Ability to travel
• Cloud security experience 
• AWS/Azure/GCP hands on experience 
• Network engineering experience 
• Strong operating system, virtual machine, and container knowledge 
• Knowledge of risk-based security assessments and frameworks 
• Understanding of cloud identity, access, certificates, and keys 

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Candidates must meet EAR part 772 and ITAR 120.15 definition of a U.S. person (Any individual who is granted U.S. citizenship; or any individual who is granted U.S. permanent residence (green card holder); or any individual who is granted status as a “protected person”) and that they reside in the contiguous United States.

SUMMARY

We’re looking for a Manager, Solutions Engineering - Public Sector to join us in spreading the power of Wiz. In this role, you will report to the Director, Solutions Engineering and work alongside a team of Wizards that focus on understanding the technical business needs of our Enterprise customers and prospects.

WHAT YOU’LL DO

You will partner with the regionally-based sales director to develop a strong working relationship with the account teams in our Public Sector organization. You will thrive as a technical leader of the team not only in performing team leadership, but also getting your hands into technology. You will be the trusted advisor to your customers for all things related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve maximum value from our solution. We believe this all starts with a team effort working very closely with all resources available at Wiz.

WHAT YOU'LL DO

• Leadership and management of a team of Solutions Engineers focused on Enterprise/Majors accounts within Public Sector
• Recruit, retain, develop and coach a team of regionally focused skilled SEs.
• Partner with sales and product groups to drive operational excellence and efficiency.
• Drive team accountability to deal management in Salesforce.

WHAT YOU’LL BRING

• Cloud security experience
• AWS/ Azure/ GCP hands on experience
• Network engineering experience / background
• Strong operating system, virtual machine and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates and keys

BONUS POINTS

• Experience with traditional CSPM tools and / or cloud infrastructure security · Technical SaaS Selling experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Location

• The ideal candidate will be based in the DC/Baltimore/Virginia Region

FEDERAL ROLES ONLY - INCLUDE THE FOLLOWING VERBIAGE

Candidates must meet EAR part 772 and ITAR 120.15 definition of a U.S. person (Any individual who is granted U.S. citizenship; or any individual who is granted U.S. permanent residence (green card holder); or any individual who is granted status as a “protected person”) and that they reside in the contiguous United States.

ABOUT THE TEAM

Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB

We are looking for a talented full stack software engineer to join our growing team at Anduril Labs in Washington, DC. As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts. As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components. You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms). Embedded software development experience is a plus. You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs. Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization. Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company. This means you will get to directly contribute to the development of Anduril’s next-generation products and services. So if you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.
• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.
• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
• Support Anduril- and customer-funded R&D efforts.
• Participate in field experiments and technology demonstrations.

REQUIRED QUALIFICATIONS

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.
• Proven software architecture and design skills.
• Ability to quickly understand and navigate complex systems and established codebases.
• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).
• Web app development (e.g., React, Angular, or Vue).
• Cloud development (e.g., AWS, Azure, or GCP).
• Data modeling and wrangling.
• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory)
• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).
• API development and integration (e.g., REST, GraphQL).
• Containerization technologies (e.g., Docker, Kubernetes).
• Software development on Linux and Windows.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• BS in Computer Science, Engineering, or similar field.
• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).
• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).
• Mobile app development (e.g., iOS or Android).
• Embedded software development experience.
• Willingness to travel up to approximately 10%

ABOUT THE JOB

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

WHAT YOU'LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

ABOUT THE TEAM

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

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

ABOUT THE ROLE

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

ABOUT THE TEAM

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defense technologies. As a SecOps Analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. As a Senior SecOps Analyst, you will serve as an incident commander alongside other senior analysts. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalization operations across the organization to understand user behavior and identify anomalies. 

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimize tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organize and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders. As a Senior SecOps Analyst, you will serve as an incident commander as necessary.
• Proactively collaborate with a wide range of stakeholders, guiding detection and response maturity of key worlds, leading incidents and large-scale data baselines, and being responsible with mentoring and guiding junior analysts.

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Experience conducting analysis in a data lake environment
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

ABOUT THE TEAM

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defense technologies. As a SecOps Analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. As a Senior SecOps Analyst, you will serve as an incident commander alongside other senior analysts. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalization operations across the organization to understand user behavior and identify anomalies. 

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimize tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organize and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders. As a Senior SecOps Analyst, you will serve as an incident commander as necessary.
• Proactively collaborate with a wide range of stakeholders, guiding detection and response maturity of key worlds, leading incidents and large-scale data baselines, and being responsible with mentoring and guiding junior analysts.

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Experience conducting analysis in a data lake environment
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

ABOUT THE TEAM

The Corporate Assurance Team manages enterprise cybersecurity governance, risk, and compliance (GRC) by implementing and operationalizing global compliance frameworks across Anduril's corporate and product environments. The team serves as the bridge between regulatory requirements and engineering execution, ensuring that Anduril's rapidly evolving technology stack meets the highest standards of security and compliance.

ABOUT THE JOB

The Compliance Engineer is a technically hands-on role responsible for driving automation, compliance, and security engineering principles into the design, integration, and operation of Anduril's internal systems. This individual will be instrumental in securing Anduril's software development process by translating complex compliance requirements into scalable, automated, and developer-friendly solutions.

The ideal candidate brings a strong DevSecOps background with deep expertise in cloud infrastructure security, embedded systems security, and federal compliance frameworks. They are equally comfortable writing Terraform modules as they are interpreting NIST controls, and they thrive at the intersection of security policy and engineering execution.

This is not a paperwork-driven compliance role. This is a builder's role. You will architect and automate compliance infrastructure that enables Anduril's engineering teams to deploy secure, compliant applications by default — removing bottlenecks rather than creating them.

WHY THIS ROLE MATTERS

At Anduril, compliance is not a checkbox — it is an engineering discipline. The Compliance Engineer plays a critical role in ensuring that Anduril can move fast without compromising the security and regulatory posture required to serve national defense missions. By building compliance into the foundation of our infrastructure, you will directly enable engineering teams to focus on what they do best: building transformative technology that protects those who protect us.

KEY RESPONSIBILITIES

Infrastructure & Automation

• Design, develop, and maintain Infrastructure as Code (IaC) and Policy as Code (PaC) that enforce compliance with NIST SP 800-171 and 800-53, CMMC, and other applicable frameworks, enabling developers to deploy CMMC-certified applications using pre-packaged, compliant infrastructure templates.
• Architect, build, and deploy robust, scalable security controls across Anduril's corporate, development, and production cloud environments (AWS, Azure, GCP) and on-premise environments.
• Develop and automate IaC pipelines for managing and scaling cloud deployments securely and efficiently, including automated pipelines for deploying infrastructure, applications, and updates.
• Build automation for procedural compliance controls, generating compliance and audit artifacts at scale without manual intervention.
• Develop security models that integrate Continuous Monitoring (ConMon), DISA STIG scanning, and compliance reporting into a unified, automated workflow.
• Ensure that compliance requirements for rapid, secure deployments translate into robust, repeatable tool chains.

Compliance Engineering & Framework Implementation

• Analyze, interpret, and operationalize federal and industry cybersecurity regulations, including NIST SP 800-171 and 800-53, CMMC, FedRAMP, and SOC 2, translating regulatory language into actionable engineering guidance and enforceable technical controls.
• Evaluate system architectures and configurations to ensure alignment with required security controls for moderate-impact information systems.
• Interface directly with infrastructure teams to verify and enforce compliance across existing on-premise and cloud stacks, identifying gaps and driving remediation.
• Collect, review, and where necessary modify system architecture to meet evolving compliance requirements, ensuring that security is embedded into the design phase rather than bolted on after the fact.
• Conduct compliance testing, studies, and assessments of Anduril's products and integrated components to uncover potential weaknesses and validate control effectiveness.
• Develop, update, and maintain cybersecurity policies, standards, procedures, and playbooks in coordination with the Information Security Team.
• Stay current on changes to federal and industry cybersecurity regulations and proactively communicate their impact to engineering and leadership teams.

Cross-Functional Collaboration & Enablement

• Partner with engineers, the DevSecOps Team, and the Automation Team to implement and verify security controls in both corporate and product software environments.
• Act as a force multiplier by embedding security best practices into the workflows of infrastructure, application, and product teams, particularly for environments holding mission-critical data.
• Support and expedite the new software onboarding process by evaluating the technical requirements of new software for CMMC compliance and guiding developers through the path to compliant deployment.
• Coordinate and deliver briefings to ensure Anduril's technical teams understand their compliance obligations, translating complex security concepts for diverse technical and non-technical audiences.
• Brief security architectures and approaches to program leadership, providing clear recommendations and risk-informed guidance.
• Work closely with Information Systems leadership, project managers, and stakeholders to integrate compliance requirements into active projects and update or modify compliant systems as organizational needs evolve.
• Collaborate with other principals and subject matter experts to ensure end-to-end automation across the compliance lifecycle.
• Act as SME for security and automation topics during internal reviews, audits, and cross-team planning sessions.

Strategic & Advisory

• Develop strategies and implementation plans for compliance-related matters, advising management on risk posture, regulatory changes, and investment priorities.
• Institute best-practice procedures for compliance and risk mitigation across the organization.
• Guide technical and operational decision-making towards future product offerings and efficient organizational processes.
• Ensure the company's ongoing technical compliance with all applicable laws, regulations, and contractual obligations.
• Produce clear documentation and reporting on compliance testing outcomes, process improvements, and emerging risks.

REQUIRED QUALIFICATIONS

Education & Experience

• 3+ years of professional experience in Cloud Security, DevSecOps, Site Reliability Engineering (SRE), or a related security engineering role.
• Background in one or more of the following disciplines: Systems Security Engineering, Cybersecurity, Systems Engineering, Software Engineering, Computer Engineering, or Computer Science.
• Proven experience building and securing complex cloud environments at scale.
• 3+ years of hands-on experience working with compliance frameworks such as CMMC, NIST SP 800-171 and/or 800-53, and FedRAMP.
• Previous work on security engineering and architecture for defense/national security systems and/or complex embedded commercial systems is strongly preferred.
• Hands-on experience executing against recurring operational regulatory requirements (e.g., continuous monitoring, periodic assessments, audit cycles).

Technical Skills

• Deep proficiency in at least one major cloud provider (AWS, Azure, or GCP), with a strong understanding of cloud infrastructure and security concepts.
• Strong hands-on experience with Infrastructure as Code tools, particularly Terraform; experience with CloudFormation or Bicep is a plus.
• Demonstrated ability to build, deploy, and manage Terraform modules and infrastructure templates in production environments.
• Solid programming and scripting ability in one or more languages (e.g., Python, Go, Rust).
• Firm understanding of public cloud networking principles, including VPCs, subnets, routing, security groups, and network segmentation.
• Proficiency with core security concepts including encryption, authentication, identity and access management, and Zero-Trust Architecture (ZTA).
• Experience with continuous monitoring and security tooling such as Tenable, Splunk, Elasticsearch, or equivalent platforms.

Soft Skills & Competencies

• Ability to communicate compliance requirements clearly and effectively to engineering teams, development teams, and non-technical stakeholders.
• Strong understanding of the "why" behind product, systems, and security design decisions — not just the "what."
• Comfort working at the interface of compliance and infrastructure engineering, with the ability to context-switch between policy interpretation and hands-on technical work.
• Self-directed, with the ability to prioritize across multiple concurrent compliance and engineering initiatives.

Eligibility

• Must be eligible to obtain and maintain a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience hardening and monitoring Kubernetes clusters (EKS, GKE, AKS).
• Experience with Cloud Security Posture Management (CSPM) or cloud-native threat detection tooling.
• Familiarity with CI/CD pipelines and experience securing the software supply chain.
• Experience with security assessment methodologies and vulnerability management programs.
• Relevant certifications such as AWS Solutions Architect, Certified Kubernetes Administrator (CKA), CISSP, CISM, or CompTIA Security+.
• Experience working in fast-paced, high-growth defense technology environments

ABOUT THE TEAM
Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB
We are seeking a talented and innovative Quantum Software Engineer to join our forward-looking team at Anduril Labs. In this role, you will be instrumental in building and delivering impactful quantum solutions for both Anduril-internal use cases and external customer applications. You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services. This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems. If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

WHAT YOU’LL DO

• Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain.
• Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability.
• Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points.
• Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field.
• 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language.
• Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation.
• Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar.
• Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity.
• Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL).
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field.
• Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques.
• Experience building and deploying applications to solve complex business or defense problems for customers.
• Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality.
• Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures.
• Experience with high-performance computing (HPC) environments or parallel programming.
• Familiarity with quantum hardware platforms and their unique characteristics.
• Prior experience in defense, aerospace, or related industries applying advanced technologies.
• Willingness to travel up to approximately 10%.

ABOUT THE TEAM
Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB
We are looking for a talented mid-level Software Engineer with a strong background in optimization to join our growing team at Anduril Labs. In this role, you will be instrumental in developing advanced algorithms and software solutions to tackle complex, multi-domain optimization problems critical to national defense and Anduril’s autonomous systems.

The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus. You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges. You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments). Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Design, develop, and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation, scheduling, routing, mission planning, control systems, and supply chain logistics.
• Apply classical optimization techniques (e.g., linear programming, mixed-integer linear programming, combinatorial optimization, network flow, dynamic programming, heuristics, metaheuristics) to model and explore novel approaches.
• Utilize GenAI tools (e.g., OpenAI Codes, Claude Code, GitHub Copilot) to rapidly prototype, refine, and test algorithmic solutions, improving development velocity and code quality.
• Develop robust data models and efficient data pipelines to support complex optimization problems, ensuring data integrity and efficient processing for algorithmic inputs and outputs.
• Collaborate with multidisciplinary teams (software engineers, data scientists, domain experts, product managers) to integrate optimization engines and services into larger defense systems and platforms.
• Perform rigorous testing, validation, and performance analysis of optimization solutions, ensuring scalability, reliability, and accuracy under diverse operational conditions.
• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment, monitoring, and maintenance.
• Support Anduril- and customer-funded R&D efforts, contributing to technical documentation, presentations, and patent applications.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Operations Research, or a related quantitative field.
• 3+ years of professional experience in software development with a dedicated focus on optimization, algorithmic problem-solving, or operations research.
• Experience solving optimization problems in defense, transportation, supply chain, logistics, network optimization, smart grids or similar
• Expert proficiency in Python for scientific computing and robust software development.
• Strong theoretical and practical understanding of classical optimization algorithms (e.g., linear programming, mixed-integer linear programming, constraint programming, network flow, dynamic programming, heuristics, meta heuristics).
• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g., SciPy Optimize, PuLP, CVXPY, Gurobi, CPLEX, OR-Tools, GEKKO). Experience with Gurobi is a plus.
• Solid experience with data modeling, data structures, and algorithms to efficiently prepare, process, and manage data for optimization problems.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Proficiency in using numerical computing libraries such as NumPy, SciPy, and Pandas.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Ability to develop, test, and deploy software effectively on Linux-based systems.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

PREFERRED QUALIFICATIONS

• • Master's or Ph.D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field.
  • Familiarity with or a strong interest in quantum optimization algorithms, quantum computing concepts, or quantum-inspired heuristic approaches. Experience with D-Wave’s quantum annealing platform is a plus.
  • Experience with performance-critical programming languages such as C++ or Java.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.
  • Prior experience in defense, aerospace, logistics, supply chain management, robotics, or manufacturing optimization domains.
  • Familiarity with integrating machine learning models with optimization techniques (e.g., prescriptive analytics, reinforcement learning for optimization).
  • Excellent communication skills with the ability to articulate complex technical concepts, present findings, and influence technical direction across diverse teams.
  • Willingness to travel up to approximately 10%.