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.

• Location: Hybrid, On-site 4 days/week in Washington, D.C. 20036 and 1 day Telework
• Job Type: Full-time
• Citizenship: U.S. Citizenship Required
• Clearance Requirement: Active Secret or higher clearance

• Design, deploy, and maintain Azure cloud infrastructure including VMs, VNets, Storage, Azure AD, and PaaS services.
• Manage and optimize Azure networking components (VNets, NSGs, Load Balancers, VPN/ExpressRoute connectivity).
• Develop and maintain Terraform templates as the primary IaC tool (critical requirement emphasized by hiring managers).
• Support automation via PowerShell, Bash, YAML/JSON, and GitLab pipelines.
• Deploy, configure, and manage AVD environments including host pools, session hosts, FSLogix profile containers, and Azure AD/M365 integrations.
• Provide troubleshooting and performance optimization for AVD users (explicit customer requirement).
• Build, maintain, and troubleshoot CI/CD pipelines in GitLab.
• Automate cloud operations, system configuration, and monitoring tasks.
• Implement secure cloud practices aligned with federal requirements (RBAC, Key Vault, IAM, encryption standards).
• Ensure compliance with NIST, RMF, FedRAMP, and agency-specific controls.
• Use Azure Monitor, Log Analytics, and related tools to analyze system health, diagnose issues, and enforce SLAs.
• Work with engineering, security, and program staff to support ongoing cloud modernization efforts.
• Support onsite collaboration with customer stakeholders (note: role cannot be performed remotely long-term).

Required Qualifications

• Active Secret or higher clearance
• 3+ years of experience with Azure Cloud Engineering
• 3+ years of experience with CI/CD pipelines
• 3+ years of experience using Terraform for IaC
• 3+ years of experience using GitLab
• Minimum of 4 years experience with PowerShell scripting
• 5+ years of experience in Cloud Engineering, DevOps, or Systems Engineering (mid-level target).
• Strong hands-on experience with Microsoft Azure core services and architecture.
• Proficiency with Terraform (high priority), PowerShell, and GitLab CI/CD.
• Experience supporting Azure networking (VNets, routing, NSGs, VPN/ExpressRoute).
• Hands-on experience with Azure Virtual Desktop (AVD) in production environments.
• Understanding of federal cloud security frameworks (FedRAMP, NIST, RMF).
• Ability to work on-site in Washington, DC four days per week.

• Experience supporting DoD or federal agency cloud environments.
• Experience with Docker/Kubernetes (AKS).
• Azure serverless tools (Functions, Logic Apps, Event Grid).
• Cost optimization using Azure Cost Management / FinOps practices.

• Location: Hybrid, On-site 4 days/week in Washington, D.C. 20036 and 1 day Telework
• 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 Secret-level security clearance

• Design, deploy, and maintain Azure cloud infrastructure including VMs, VNets, Storage, Azure AD, and PaaS services.
• Manage and optimize Azure networking components (VNets, NSGs, Load Balancers, VPN/ExpressRoute connectivity).
• Develop and maintain Terraform templates as the primary IaC tool (critical requirement emphasized by hiring managers).
• Support automation via PowerShell, Bash, YAML/JSON, and GitLab pipelines.
• Deploy, configure, and manage AVD environments including host pools, session hosts, FSLogix profile containers, and Azure AD/M365 integrations.
• Provide troubleshooting and performance optimization for AVD users (explicit customer requirement).
• Build, maintain, and troubleshoot CI/CD pipelines in GitLab.
• Automate cloud operations, system configuration, and monitoring tasks.
• Implement secure cloud practices aligned with federal requirements (RBAC, Key Vault, IAM, encryption standards).
• Ensure compliance with NIST, RMF, FedRAMP, and agency-specific controls.
• Use Azure Monitor, Log Analytics, and related tools to analyze system health, diagnose issues, and enforce SLAs.
• Work with engineering, security, and program staff to support ongoing cloud modernization efforts.
• Support onsite collaboration with customer stakeholders (note: role cannot be performed remotely long-term).

Required Qualifications

• Active Secret or higher clearance
• 3+ years of experience with Azure Cloud Engineering
• 3+ years of experience with CI/CD pipelines
• 3+ years of experience using Terraform for IaC
• 3+ years of experience using GitLab
• Minimum of 4 years experience with PowerShell scripting
• 5+ years of experience in Cloud Engineering, DevOps, or Systems Engineering (mid-level target).
• Strong hands-on experience with Microsoft Azure core services and architecture.
• Proficiency with Terraform (high priority), PowerShell, and GitLab CI/CD.
• Experience supporting Azure networking (VNets, routing, NSGs, VPN/ExpressRoute).
• Hands-on experience with Azure Virtual Desktop (AVD) in production environments.
• Understanding of federal cloud security frameworks (FedRAMP, NIST, RMF).
• Ability to work on-site in Washington, DC four days per week.

• Experience supporting DoD or federal agency cloud environments.
• Experience with Docker/Kubernetes (AKS).
• Azure serverless tools (Functions, Logic Apps, Event Grid).
• Cost optimization using Azure Cost Management / FinOps practices.

• Location: Hybrid, On-site 4 days/week in Washington, D.C. 20036 and 1 day Telework
• 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 Secret-level security clearance

• Design, deploy, and maintain Azure cloud infrastructure including VMs, VNets, Storage, Azure AD, and PaaS services.
• Manage and optimize Azure networking components (VNets, NSGs, Load Balancers, VPN/ExpressRoute connectivity).
• Develop and maintain Terraform templates as the primary IaC tool (critical requirement emphasized by hiring managers).
• Support automation via PowerShell, Bash, YAML/JSON, and GitLab pipelines.
• Deploy, configure, and manage AVD environments including host pools, session hosts, FSLogix profile containers, and Azure AD/M365 integrations.
• Provide troubleshooting and performance optimization for AVD users (explicit customer requirement).
• Build, maintain, and troubleshoot CI/CD pipelines in GitLab.
• Automate cloud operations, system configuration, and monitoring tasks.
• Implement secure cloud practices aligned with federal requirements (RBAC, Key Vault, IAM, encryption standards).
• Ensure compliance with NIST, RMF, FedRAMP, and agency-specific controls.
• Use Azure Monitor, Log Analytics, and related tools to analyze system health, diagnose issues, and enforce SLAs.
• Work with engineering, security, and program staff to support ongoing cloud modernization efforts.
• Support onsite collaboration with customer stakeholders (note: role cannot be performed remotely long-term).

Required Qualifications

• Active Secret or higher clearance
• 3+ years of experience with Azure Cloud Engineering
• 3+ years of experience with CI/CD pipelines
• 3+ years of experience using Terraform for IaC
• 3+ years of experience using GitLab
• Minimum of 4 years experience with PowerShell scripting
• 5+ years of experience in Cloud Engineering, DevOps, or Systems Engineering (mid-level target).
• Strong hands-on experience with Microsoft Azure core services and architecture.
• Proficiency with Terraform (high priority), PowerShell, and GitLab CI/CD.
• Experience supporting Azure networking (VNets, routing, NSGs, VPN/ExpressRoute).
• Hands-on experience with Azure Virtual Desktop (AVD) in production environments.
• Understanding of federal cloud security frameworks (FedRAMP, NIST, RMF).
• Ability to work on-site in Washington, DC four days per week.

• Experience supporting DoD or federal agency cloud environments.
• Experience with Docker/Kubernetes (AKS).
• Azure serverless tools (Functions, Logic Apps, Event Grid).
• Cost optimization using Azure Cost Management / FinOps practices.

• Location: Hybrid, On-site 4 days/week in Washington, D.C. 20036 and 1 day Telework
• 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 Secret-level security clearance

• Design, deploy, and maintain Azure cloud infrastructure including VMs, VNets, Storage, Azure AD, and PaaS services.
• Manage and optimize Azure networking components (VNets, NSGs, Load Balancers, VPN/ExpressRoute connectivity).
• Develop and maintain Terraform templates as the primary IaC tool (critical requirement emphasized by hiring managers).
• Support automation via PowerShell, Bash, YAML/JSON, and GitLab pipelines.
• Deploy, configure, and manage AVD environments including host pools, session hosts, FSLogix profile containers, and Azure AD/M365 integrations.
• Provide troubleshooting and performance optimization for AVD users (explicit customer requirement).
• Build, maintain, and troubleshoot CI/CD pipelines in GitLab.
• Automate cloud operations, system configuration, and monitoring tasks.
• Implement secure cloud practices aligned with federal requirements (RBAC, Key Vault, IAM, encryption standards).
• Ensure compliance with NIST, RMF, FedRAMP, and agency-specific controls.
• Use Azure Monitor, Log Analytics, and related tools to analyze system health, diagnose issues, and enforce SLAs.
• Work with engineering, security, and program staff to support ongoing cloud modernization efforts.
• Support onsite collaboration with customer stakeholders (note: role cannot be performed remotely long-term).

Required Qualifications

• Active Secret or higher clearance
• 3+ years of experience with Azure Cloud Engineering
• 3+ years of experience with CI/CD pipelines
• 3+ years of experience using Terraform for IaC
• 3+ years of experience using GitLab
• Minimum of 4 years experience with PowerShell scripting
• 5+ years of experience in Cloud Engineering, DevOps, or Systems Engineering (mid-level target).
• Strong hands-on experience with Microsoft Azure core services and architecture.
• Proficiency with Terraform (high priority), PowerShell, and GitLab CI/CD.
• Experience supporting Azure networking (VNets, routing, NSGs, VPN/ExpressRoute).
• Hands-on experience with Azure Virtual Desktop (AVD) in production environments.
• Understanding of federal cloud security frameworks (FedRAMP, NIST, RMF).
• Ability to work on-site in Washington, DC four days per week.

• Experience supporting DoD or federal agency cloud environments.
• Experience with Docker/Kubernetes (AKS).
• Azure serverless tools (Functions, Logic Apps, Event Grid).
• Cost optimization using Azure Cost Management / FinOps practices.

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

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

What You'll Do:

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

What You'll Bring:

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

Preferred Qualifications:

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

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

#LI-Remote

Software Engineering Analyst 

Start Your Career Where Innovation Meets Purpose 

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

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

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

Are you ready to reinvent what’s possible?  

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

The Opportunity 

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

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

What You’ll Do: 

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

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

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

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

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

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

What You’ll Learn 

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

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

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

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

Basic Qualifications 

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

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

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

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

Preferred Qualifications 

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

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

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

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

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

• Active security clearance or eligibility to obtain one. 

Work Model 

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

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

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

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

Overview of Opportunity 

Two Six Technologies is seeking a Senior Network Infrastructure Engineer who will be responsible for designing, maintaining, and implementing technical solutions for complex problems. The candidate will provide technical oversight of a project solution, including requirement interpretation and allocation of requirements to technical components. He or she will define processes to support the implementation of requirements and ensure that technical solutions leverage industry best practices, designing for security and excellence while minimizing the total cost of ownership. You will need to be able to define internal and external customer IT infrastructure architecture needs and then design solutions to meet those needs to include: capacity planning, systems configuration and tuning, monitoring backups, and installations of hardware and software. 

The work will be hybrid, based out of our Laurel, Maryland office. 

What you will do:

• Manage and direct internal IT systems and personnel
• Lead efforts to ensure that complex systems are ready for use and quick reaction requests are met as needed
• Participates in the development and implementation of the network infrastructure in field offices, including physical and logical design of network and telecom infrastructure, analyzing existing network platforms and systems, and recommending solutions.
• Provides technical input in the design, installation, maintenance, and support of network infrastructure
• Support tight-looped development and integration production cycles
• Support large virtualized environment in a Linux environment
• Support an Elasticsearch cluster
• Process and testing automation
• Continual learning, particularly with respect to cybersecurity principles
• Collaboration and communication across teams and projects

What you will need to be successful: 

• Experience with Linux system administration
• 5+ years of experience configuring, designing, maintaining, and troubleshooting LAN/WAN devices
• Thorough understanding of network routing concepts (BGP, IP)
• 5+ years of experience configuring/maintaining Cisco switches (focus on Nexus)
• 5+ years of experience in Networking, Security, Design implementation, and Operational support
• Experience designing and implementing Routers, Switches, Firewalls, and Security Software
• Experience with Layer 2 and Layer 3 switching, routing and VLANs.
• Experience configuring/maintaining other (non-Cisco) hardware firewall devices such as VyOS
• Experience with network monitoring technologies
• Experience with virtualization environments such as ProxMox and/or VMware
• Ability to take ambiguous requirements or problems and convert them into technical solutions
• Ability to partner with systems administrators, storage administrators, and application developers to solve complex problems
• Complex problem management research and issue resolution
• Ability to mentor junior network engineers
• Reviewing and identifying security vulnerabilities and applying remediation
• Command of scripting languages such as Python and Bash
• Experience with infrastructure automation tools such as Ansible and Docker
• Eligibility to obtain and maintain a DoD clearance 

  Nice to Haves:

• Experience with classified lab networks and requirements (SCIF or SAPF)
• Experience with LDAP/Kerberos authentication protocols
• Understanding of modern software languages and command line interface
• Experience with Elasticsearch node setup, configuration and troubleshooting
• Cloud experience (AWS, Azure, etc.)
• Security best practices and implementing firewalls and perimeter security measures including VPN technologies
• Continuous integration, test automation and/or SecDevOps on iterative development projects

Security Clearance:

• Eligibility to obtain and maintain a DoD clearance

#LI-MS1

#hybrid

We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology. 

We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.

But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests. 

This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.

Responsibilities:

• Partner with Application scientists to help deliver cutting-edge solutions for customers
• Elevate Applications code quality generally through architectural review, code review, standards, and best practices
• Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
• Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
• Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
• Reporting to the Director of Application Engineering, help hire and mentor developers on the team

You’d be a good fit with:

• 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
• 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
• 5+ years of experience in C/C++ or Rust
• 3+ years of experience in Docker, k8s, or similar containerization technologies
• A track record of shipping containerized applications that solve real business problems
• Previous work in scientific computing, quantum computing, or a related field
• Daily usage of augmented coding tools like Claude or Gemini 

You’d be a great fit with:

• 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
• Experience in HPC or performance optimization
• Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
• Experience with workflow orchestration engines like Airflow, Dagster, or Temporal

Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration 
Job ID:  1312

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

At scale, quantum computers will be integrated into classical datacenters — combining the unique strengths of CPUs, GPUs, and QPUs will help us solve the world’s hardest problems. Today, we already use IonQ quantum computers in tandem with high-performance computer (HPC) clusters in applications like quantum machine learning and image analysis. As a Senior Staff Software Engineer leading our HPC integration, you’ll help build and maintain our interfaces with SLURM and other open HPC stacks.

Responsibilities:

• Lead the design and development of our HPC software stack integrations
• Establish best practices for code development, quality assurance, documentation, and continuous integration and deployment
• Lead and participate in code reviews
• Effectively self-manage projects, priorities, deadlines, and deliverables; Identify, track and mitigate execution roadblocks and technical risks
• Mentor junior staff members; we’ll ultimately be building a team around you!
• Help minimize overhead between classical and quantum resources through efficient scheduling and parallelization

You’d be a good fit with:

• Bachelor’s degree in Computer Science, IT or equivalent practical experience -- untraditional backgrounds are welcome and encouraged!
• 13+ years experience in software engineering
• 5+ years experience of open source contributions
• 2+ years experience with Slurm or other HPC batch schedulers (LSF, PBS, GridEngine, etc.) and/or other HPC technologies
• Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Microk8s
• Familiarity with MPI or other multiprocessing schemes
• Experience with workflow orchestration tools (Argo Workflows, Kubeflow)
• Significant experience with system languages like C/C++ or Go, and advanced scripting in Python
• Established experience in Linux operating system, environment, and tools

You’d be a great fit with:

• 15+ years experience in software engineering
• 10+ years experience of making open source contributions  
• 5+ years in High Performance Compute cluster management
• 2+ years experience as an open source project maintainer with an active community
• Expert-level knowledge of Fortran and/or C
• Familiarity with quantum software stacks like MQSS or OpenQSE
• Familiarity with distributed computing frameworks like Ray or Dask
• Experience with GPU programming models such as CUDA (or even better: CUDA Quantum)
• Expert analysis skills in areas like statistical testing, modeling and general optimization
• Knowledge of one or more domains of computational physics (PDEs, n-body, large-dimension integration, stochastic systems, ...)
• Familiarity with common machine learning frameworks like PyTorch or TensorFlow
• Exposure to quantum physics and/or quantum information science

Location: This is a hybrid role based at our headquarters in College Park, MD or at our Bothell, Washington facility.
Travel: 10%
Job ID: 1135

The approximate base salary range for this position is $187,358- $245,300. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Infrastructure Software Engineer to own the reliability, scalability, and deployment of our electronic hardware test automation platform. This platform is critical for executing full-system, subsystem, and component-level automated electronic hardware tests across our global engineering sites and contract manufacturer (CM) locations.

As the primary infrastructure expert on an internal-tooling software development team you will act as the liaison to IonQ's core Infrastructure team. You will be helping to develop and deploy the minimal, secure, and maintainable infrastructure necessary to execute our test automation software on everything from rack-mounted servers to lightweight, single-purpose devices across our manufacturing verification processes. As a senior member of the team, you will be expected to work mostly independently, leading moderately scoped projects and acting as a subject-matter resource for the test organization.

Responsibilities:

• Design, build, and maintain the CI/CD pipelines for deploying our test automation software to a distributed fleet of testbeds.
• Develop and manage infrastructure for testbed provisioning, remote management, and monitoring.
• Contribute to testbed design and hardware selection decisions to better support team objectives.
• Implement and enforce best practices for security, compliance, and observability across the test platform.
• Serve as the point of contact and subject-matter expert for infrastructure, collaborating with the broader organization's SRE and DevOps teams to ensure alignment on tools and practices.
• Collaborate with hardware and software engineers to define infrastructure requirements and deliver robust, scalable solutions.
• Solve complex and non-routine infrastructure problems, evaluating alternatives and considering tradeoffs between cost, quality, and speed.

Requirements:

• Bachelor’s degree in Computer Science or equivalent experience.
• 5+ years of experience in a DevOps, SRE, or Infrastructure Engineering role.
• Solid understanding of networking, security best practices, and system administration in a Linux environment.
• Strong programming experience with at least one modern language such as Python or Go.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Proven experience designing, building, and maintaining CI/CD pipelines (e.g., using GitLab CI, Jenkins, GitHub Actions).
• Experience with infrastructure-as-code (IaC) tools like Terraform or Ansible and provisioning tools like iPXE.

Preferred Qualifications:

• Experience managing infrastructure for hardware-in-the-loop (HIL) testing or electronics test labs.
• Experience with deploying and managing software at remote or third-party sites (e.g., contract manufacturers).
• Solid cloud development/deployment experience (e.g. AWS, GCP, Azure).
• Experience with cross-platform deployment automation (Linux, Windows).
• Experience with bare-metal provisioning for remote/headless systems using technologies like PXE, Kickstart, or Preseed.
• Experience with monitoring and observability stacks (e.g., Prometheus, Grafana, ELK).
• Familiarity with regulations that may be applicable to the teams' responsibilities (e.g. ISO 9001, ITAR).
• Knowledge of protocols and services used in distributed systems, such as gRPC, MQTT, or other message brokers.

Compensation & Benefits:
The approximate base salary range for this position is $151,756 - $198,688. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

Location: This role will work onsite at our office located in Bothell, WA.
Travel: Up to 10%
Job ID: 1438

Description

Reusable launch systems are the key to seamlessly connecting Earth and space. An instrumental ingredient to making reusable launch vehicles is the ability to move fast. That is our goal for Boltline by Stoke Space, our commercial software platform that helps advanced hardware manufacturing teams integrate, track, iterate, build, and test efficiently. 

As a Software Development Manager on the Boltline by Stoke Space Team, you will lead a team of 6-8 software engineers responsible for a vertical slice of the product. You and your team will accelerate the development of Stoke’s reusable rockets. Your responsibilities and activities will cross three boundaries: (1) Product Ownership and Management, (2) People Management and (3) Individual Contributor. You will be the spokesperson for the team, working closely with external stakeholders and technical leaders on the team.  

The ideal candidate cares deeply about their team and leads from a place of servitude while driving the team to deliver with quality through repeatable and measurable engineering practices. They embody extreme ownership and have a high degree of autonomy while communicating in a crisp and clear manner.  

As a product owner you will be responsible for the backlog and active projects on your team. As a People Manager you will be responsible for the career growth, hiring and firing for your team. As an individual contributor you will be expected to contribute to the code base, fixing bugs, implementing features and performing code reviews.  

This is a Hybrid role, requiring at least 3-days a week on-site at Stoke’s Kent Headquarters. 

Responsibilities

• Manage the backlog and active projects for the team 
• Create detailed product requirements and make priority decisions in concert with the strategy of the product team
• Manage your team’s software development lifecycle
• Manage individual team members’ career growth and development 
• Manage headcount, interviewing and hiring for the team 
• Contribute production code to the code base, fixing bugs, implementing features and performing code reviews 
• Collaborate with Product and Design to understand priority, focus and scope 
• Collaborate with Team Technical Leaders to improve the technical architecture, improve quality and reduce technical debt 
• Collaborate and contribute to Technical and Operational excellence across all Boltline Engineering teams 

Qualifications

• 8+ years professional software development 
• Strong IC experience in delivering quality SaaS systems 
• Experience in driving product requirements and priority  
• Experience managing and leading strongly technical software developers 
• Excellent verbal/written communication 
• Prior on-call/incident response participation 
• Proven ownership of features from design through production 

Preferred Qualifications

• Experience with modern web development frameworks (ReactJS) 
• Experience with building reliable APIs 
• Experience with RDBMS 
• Familiarity with Next.js or similar meta-frameworks 
• DevOps basics (Docker, Kubernetes/ECS, AWS) 
• Experience with Apollo (Client/Server), Hasura or similar 
• Hands-on CI/CD experience (GitHub Actions, CircleCI, etc.) 
• Interest in aerospace, mechanical engineering, and manufacturing workflows 

Benefits

• Equity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees. 
• Comprehensive benefits program including subsidized medical, dental, and vision insurance 
• Company-paid life and disability insurance 
• 401(k) plan with employer match 
• 4 weeks’ Paid Time Off  
• Holidays – 10 days (including an end-of-year closure) 
• Paid Family/Parental Leave  
• On-site gym or monthly wellness stipend (depending on location) 
• Dog friendly offices! 

Compensation

Target Levels:

• Level 4 Range: $192,885 - $289,380
• Level 5 Range: $231,525 - $347,235

Our job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis. 

Your actual level and base salary will be decided based on your specific experience and skill level.

The work: 

• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 

• Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 

• Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 

• Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 

• Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 

• Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 

• Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here’s what you need: 

• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 

• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 
• Experience with Python, SQL, Spark, and PySpark 

• Experience with data platforms like Databricks, Palantir, and Snowflake 
• Familiarity with data orchestration and data quality processes 
• Must be a US Citizen

Bonus points if you have: 

• Secret clearance or above 

• Experience working with federal clients 

• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

• Experience with Agile / Scrum

• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

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

You will:

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

Ideally you have:

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

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

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

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

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

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

Ideally you will have: 

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

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

You will:

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

Must have:

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

Ideally you'd have:

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

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

You will:

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

Ideally you’d have:

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

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

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

You will:

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

Must have:

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

Ideally you'd have: 

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

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

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

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

Day to day:

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

You will:

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

Ideally you’d have:

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

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

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

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

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

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

Ideally you will have: 

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

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

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

Must have:

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

You will:

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

Ideally you'd have:

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

Nice to haves:

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

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 Software Engineer in the Discovery team, you will tackle a diverse range of challenges in networking, autonomy, systems integration, robotics, and more. Your work will ensure seamless integration of Anduril products to achieve critical outcomes. You will work on a fast paced team and have opportunities to watch your creations operate in fielded deployment environments. Above all, Software Engineers at Anduril must embody a “Whatever It Takes” mindset—executing tasks expediently, scalably, and pragmatically while prioritizing the mission. You will make sound engineering decisions to deliver high-quality outcomes on time. In addition to building the software, you will work directly with customers to deploy it.

WHAT YOU’LL DO

• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products
• Standing up the infrastructure, simulation solutions, and integrations for agent development
• Create data analysis and validation workflows
• Collaborate closely with customers, product designers, researchers, and other engineering teams to shape and build new software products and applications, optimizing for maximum value to the end user.
• Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions for agent training
• Identify problems; solve them: implement robust, high-quality solutions

REQUIRED QUALIFICATIONS

• Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
• 3 - 8+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Hands-on experience with Docker for building and managing containerized applications, deploying and scaling services on Kubernetes clusters, and configuring CI/CD pipelines
• 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

• Demonstrated experience in machine learning training infrastructure and deployments
• Expertise in virtualization and containerization technologies
• Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems

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

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

What we are looking for

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

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

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

In this role you will

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

Required qualifications

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

Desirable qualifications

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

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

We are seeking an experienced PostgreSQL Senior Database Administrator to help lead our database team. The ideal candidate will have a robust background in database administration, architecture, and PostgreSQL development. The DBA will be responsible for ensuring the performance, integrity, and security of the unit’s PostgreSQL databases.   

Responsibilities and Duties:

• Design and implement database architectures that support business requirements and achieve high performance, availability, and security.
• Oversee the installation, configuration, and maintenance of PostgreSQL databases.
• Conduct performance tuning of database systems, including queries, stored procedures, and indexing strategies.
• Develop and implement database backup, recovery, and failover procedures.
• Assist in the design and development of data models and database solutions.
• Collaborate with development teams to optimize database code in application layers.
• Provide guidance on database best practices to IT staff and other stakeholders.
• Ensure database infrastructure is up-to-date with the latest technology trends and security patches.
• Develop and maintain documentation regarding database configurations, architectures, and procedures.
• Serve as the point of contact for database-related queries and technical support.  

Basic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
• Strong expertise in PostgreSQL database administration, tuning, management, and security
• Proficiency in SQL and experience with PL/SQL or similar procedural language
• Experience in Oracle to Postgres conversion/migration (metadata & data)
• Experience in Oracle 19C/21C and Postgres 16/17 database administration, support, implementation, configuration and upgrade.
• Familiarity with database design, documentation, and coding
• Previous experience with Linux/Unix and scripting languages such as Bash, Python, or Perl
• Knowledge of high availability and disaster recovery options for PostgreSQL
• Good understanding of hardware performance, memory and I/O
• Active TS clearance required with ability to obtain SCI

Preferred Qualifications:

• PostgreSQL certification (e.g., PostgreSQL Certified Engineer)
• Experience with cloud services (AWS, Azure, OCI) and containerization technologies (Docker, Kubernetes)
• Familiarity with other database systems (e.g. Oracle and MSSQL

#LI-PublicSafety 

ABOUT THE TEAM

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

ABOUT THE JOB

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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

ABOUT THE TEAM

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

ABOUT THE JOB

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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

We are seeking a highly skilled and experienced Program Manager to oversee enterprise IT programs supporting web content management, operations and maintenance (O&M), and digital modernization initiatives. The ideal candidate will have extensive experience managing large-scale federal IT programs, particularly those involving public-facing web platforms, content management systems, and cloud-based environments. This role requires leadership of multi-disciplinary teams delivering high-availability systems, continuous enhancements, and compliance-driven solutions. The Program Manager will be responsible for planning, execution, and delivery of complex IT programs, ensuring alignment with contractual requirements, performance objectives, and quality standards. Experience managing mission-critical software development and O&M programs is essential.

The ability to obtain and maintain a Public Trust clearance is required. This is a hybrid role based in the Washington, DC metropolitan area.

Responsibilities:

Program Planning and Execution:

• Lead development of comprehensive program plans, including scope, objectives, milestones, and deliverables.
• Oversee program execution, ensuring adherence to schedules, SLAs, and performance metrics.
• Coordinate across cross-functional teams supporting development, infrastructure, content management, and operations.
• Manage delivery across project management and O&M functions.
• Monitor program performance, identify risks, and implement mitigation strategies.

Contract Management and Compliance:

• Serve as the primary point of contact for stakeholders and leadership.
• Manage responses to BPA Calls and/or Task Orders
• Ensure compliance with contract requirements and federal regulations (FAR, DFARS, and related guidance)
• Maintain strong working relationships with stakeholders, subcontractors, and internal teams.
• Oversee preparation and submission of program deliverables, reports, and documentation.
• Ensure compliance with Section 508 accessibility, FISMA, and FedRAMP requirements.

Financial Management and Budget Oversight:

• Develop and manage program budgets, forecasts, and resource plans.
• Track expenditures and ensure alignment with financial targets.
• Conduct financial reviews and provide reporting to leadership.
• Optimize resource allocation to support evolving program priorities.

Risk Management and Quality Assurance:

• Identify program risks and develop mitigation strategies.
• Implement quality assurance processes to ensure delivery of secure, accessible, and high-performing systems.
• Oversee compliance validation, including accessibility and content quality standards.
• Conduct periodic program reviews and implement continuous improvement actions.

Team Leadership and Development:

• Provide leadership to multi-disciplinary teams including developers, analysts, QA testers, accessibility specialists, and operations staff.
• Foster a collaborative, Agile delivery environment focused on continuous improvement.
• Mentor staff and support professional development.
• Ensure effective coordination across distributed teams and subcontractors.

Strategic Modernization and Innovation:

• Lead adoption of modern content management platforms (e.g., Drupal) and cloud-based architecture (AWS preferred)
• Drive implementation of Agile and DevSecOps practices, including CI/CD pipelines.
• Identify opportunities to improve automation, system performance, and content lifecycle management.
• Promote scalable, secure, and maintainable solutions aligned with enterprise IT strategies.

Qualifications:

• Bachelor’s degree in information technology, Business Administration, or related field (or equivalent experience)
• PMP certification preferred
• Agile certification (CSM, SAFe) preferred.
• Minimum of 10 years of experience in program management for federal IT programs
• Proven experience managing large-scale web or CMS programs.
• Experience managing O&M for mission-critical, public-facing systems.
• Strong knowledge of federal contract regulations (FAR, DFARS)
• Experience in managing budgets, subcontractors, and multi-team delivery environments.
• Technical familiarity with:
• Drupal or enterprise content management systems
• Cloud platforms (AWS preferred)
• DevSecOps tools and CI/CD pipelines (e.g., Jenkins, GitLab, Docker, Kubernetes)
• Accessibility compliance tools and standards (Section 508, WCAG)
• Excellent leadership, communication, and stakeholder engagement skills
• Strong analytical and problem-solving abilities

Compensation:

Salary Range: $180,000 – $190,000 annually (commensurate with experience)
Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities.

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P15407_3389736

The Opportunity

Auth0’s platform is the front door for thousands of customers and millions of users. On the Platform Engineering team, we build the resilient foundations that enable customers to rely on Auth0 for always-on authentication and authorization services.

As the Senior Manager of Data Streaming Services, you will lead the evolution of our streaming data backbone across a multi-cloud footprint. You will oversee multiple engineering teams dedicated to making data streaming seamless, reliable, and high-performance. This is a "manager of managers" role requiring a blend of strategic foresight, execution rigor, and technical grit. You will set the vision for our streaming services, mentor high-performing teams, and take accountability for our service uptime guarantees.

What you’ll achieve

• Lead a world-class team of teams. Oversee data streaming infrastructure and services that power our global platform across AWS and Azure.
• Own roadmap and execution. Partner with product and stakeholder teams to define the team's strategy and prioritized roadmap.
• Drive engineering excellence. Set high standards of quality, reliability, and operational robustness, championing best practices in software development, from code reviews to observability and incident management.
• Lead an automation-first culture. Reduce operational friction and ensure infrastructure is self-healing and code-defined. Draw efficiency from AI-assisted development.
• Act as a technical leader. Lead response on incidents for services under ownership and help teams navigate complex distributed systems failures.

What you’ll bring

• Proven engineering leadership, building and leading teams of teams. Experience coaching Staff+ engineers and engineering managers.
• Strong technical and architectural acumen. Background in building scalable, distributed systems. Comfortable participating in and guiding technical discussions.
• Strong project management skills. Expertise in creating technical roadmaps, prioritizing effectively in an agile environment, and managing complex project dependencies.
• Collaborative leadership style, adapted to remote ways of working. Excellent written and verbal communication skills to build strong relationships with stakeholders and inspire others.

Bonus Points

• Experience developing data-intensive applications in a modern programming language such as go, node.js, or Java.
• Experience with databases such as PostgreSQL and MongoDB.
• Experience with distributed streaming platforms like Kafka.
• Familiarity with concepts in the IAM (Identity and Access Management) domain.
• Experience with cloud providers (AWS, Azure), container technologies such as Kubernetes and Docker, and observability tools such as Datadog.
• Experience building reliable, high-availability platforms for enterprise SaaS applications.

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P15407_3389736

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.

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#LI-CM

P10563_3394826

About the Team

At Okta, our motto is "Always On." Within the Technical Operations (TechOps) team, we live this mission by building the most reliable and performant systems on the planet. We empower organizations to do their most significant work by securely connecting any person, on any device, to the technologies they need.

The Role

We are seeking a Staff Site Reliability Engineer (SRE) to lead the evolution of our large-scale production systems. This role is designed for a technical expert who thrives on solving complex problems at scale and lives by the ethic: "If you have to do it twice, automate it." Based in the Washington, D.C. area, you will ensure our infrastructure maintains uncompromising reliability and performance while supporting critical national security missions in secure, restricted environments.

Security Requirement: Must be able to obtain and maintain a U.S. security clearance (Secret or Top Secret) to the extent required by U.S. Government contracts.

The selected candidate may be subject to drug testing to the extent required by U.S. Government contracts.

What You’ll Do

• Infrastructure Leadership: Design, build, and oversee Okta’s production infrastructure, ensuring architectural integrity and peak performance.
• Incident Engineering: Act as a senior escalation point for production incidents, conducting deep-dive root cause analysis and implementing permanent, automated preventive solutions.
• Strategic Automation: Eliminate manual toil by developing sophisticated automation frameworks, evolving monitoring tools, and establishing rigorous technical documentation.
• System Resilience: Optimize a highly available, large-scale environment, ensuring "Always On" service delivery across complex network topologies.
• Mentorship: Provide technical guidance to the engineering organization, championing SRE best practices and a culture of self-education.

What You’ll Bring

Core Requirements

• Clearance: Active TS/SCI with Polygraph.
• Compliance Expertise: Deep professional experience with FedRAMP and DoD IL6 frameworks.
• Education: B.S. in Computer Science or equivalent technical experience.

Technical Expertise

• Networking & Cloud Architecture: Mastery of AWS networking and security, including Transit Gateways, VPCs, Route Tables, ELBs, and NACLS.
• Infrastructure as Code (IaC): Advanced experience automating enterprise-scale infrastructure via Terraform or CloudFormation.
• Systems & Scripting: Expert-level Linux systems administration with proficiency in Go, Python, Bash, or Ruby.
• Production Support: Proven success managing Docker containers and Java-based stacks (Apache/Tomcat) in high-security production environments.

Protocol Knowledge: Solid understanding of networking concepts, IP protocols, and multi-cloud infrastructure.

#LI-TM 

#LI-Hybrid 

P24505

About the Team

At Okta, our motto is "Always On." Within the Technical Operations (TechOps) team, we live this mission by building the most reliable and performant systems on the planet. We empower organizations to do their most significant work by securely connecting any person, on any device, to the technologies they need.

The Role

We are looking for an experienced Senior Site Reliability Engineer (SRE) who thrives on the challenge of managing large-scale cloud production systems. The ideal candidate is a self-starter who lives by the ethic: "If you have to do it twice, automate it." Based in the Washington, D.C. area, with on-site customer travel, you will ensure our infrastructure maintains uncompromising reliability and performance while supporting the most sensitive national security missions.

Security Requirement: Must be able to obtain and maintain a U.S. security clearance (Secret or Top Secret) to the extent required by U.S. Government contracts.

The selected candidate may be subject to drug testing to the extent required by U.S. Government contracts.

What You’ll Do

• Infrastructure Excellence: Design, deploy, and monitor Okta’s production infrastructure to ensure peak performance and reliability.
• Incident Management: Serve as a frontline responder to production incidents, performing deep-dive troubleshooting and implementing permanent preventive solutions.
• Aggressive Automation: Eliminate manual toil by developing automation scripts, evolving monitoring tools, and documenting technical workflows.
• Scalability: Support a highly available, large-scale environment as part of an on-call rotation, ensuring "Always On" service delivery.

What You’ll Bring

Core Requirements

• Clearance & Citizenship: Active TS/SCI clearance.
• Federal Compliance: Deep familiarity with FedRAMP and DoD IL6 compliance standards.
• Education: B.S. in Computer Science or equivalent professional experience.

Technical Expertise

• Kubernetes Mastery: 5+ years of experience building and operating workloads orchestrated by Kubernetes, including expert-level debugging of Helm values and charts.
• Systems & Scripting: Strong Linux systems administration background with proficiency in Go, Python, Bash, or Ruby.
• Cloud Infrastructure: Expertise in AWS services (EC2, ECS, KMS, CloudWatch) and Infrastructure as Code (Terraform or CloudFormation).
• Production Support: Experience managing Docker containers and web applications (Java/Apache/Tomcat) in high-traffic live environments.

Networking: Solid understanding of networking concepts and IP protocols; experience with multi-cloud environments is a significant plus.

#LI-TM 

#LI-Hybrid 

P24510

ABOUT THE TEAM

ABOUT THE JOB

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

ABOUT THE TEAM

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

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

THE ROLE

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

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

WHAT YOU'LL DO

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

REQUIRED QUALIFICATIONS

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

Additional for Senior candidates:

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

PREFERRED QUALIFICATIONS

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

ABOUT THE TEAM

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

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

THE ROLE

This role is for someone who loves going deep on a problem. You'll identify where simulated components diverge from real-world behavior at the system level, work with our functional teams who own those subsystems to understand what a better model looks like, then own the integration, optimization, and validation within our simulation framework. The cycle is: analyze the gap, understand the domain, engineer the solution into the framework, and prove the fidelity improvement with data. The problems are genuinely complex, multi-physics, multi-rate, spanning both real-time and faster-than-real-time execution for large-scale Monte Carlo campaigns, and the feedback loop is measured in months, not years: your improvements are validated against real flight data and deployed to operational systems on a cadence that keeps pace with product development.

You are expected to quickly develop working knowledge of the domains you touch (sensors, comms, navigation, environment, autonomy interfaces) and become an effective partner to our teams that own those subsystems. You'll care about performance characteristics, numerical stability, integration correctness, and building the validation tooling that makes fidelity measurable and repeatable. Whether your background is in industry or academia, what matters is demonstrated depth of ownership over complex software systems and the ability to pick up new domains and deliver reliable, performant software within them. You will own your solutions from design through delivery and long-term maintenance, with the support and collaboration of our team behind you. At the senior level, we expect you to operate across the full breadth of the simulation stack and help shape our team's technical direction.

WHAT YOU'LL DO

• Analyze simulated subsystems within the framework to identify where system-level behavior diverges from real-world data, quantifying gaps and their downstream impact on simulation trustworthiness.
• Partner with functional engineering teams (flight dynamics, perception, guidance, comms) who own subsystem models to understand requirements, integrate their higher-fidelity models into the simulation framework, and validate the integration through statistical analysis.
• Engineer framework-level solutions that enable higher-fidelity models to run efficiently, addressing performance constraints, timing coordination, and numerical integration concerns.
• Build and maintain validation tooling and benchmarks that make fidelity measurable: automated comparison against real-world data, regression detection, and acceptance threshold enforcement.
• Design and run Monte Carlo validation campaigns to verify that fidelity improvements hold across parameter sweeps and edge cases, not just nominal conditions.
• Work across faster-than-real-time simulation and software-in-the-loop (SITL) environments, understanding the performance and fidelity trade-offs at each tier.
• Identify opportunities where industry-standard or academic approaches could improve our simulation strategy, and coordinate with the appropriate domain teams to evaluate and adopt them.
• At the senior level: drive cross-cutting fidelity strategy across the simulation stack, mentor other engineers, and represent the fidelity team's technical perspective in cross-functional design reviews.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field.
• At least 3+ years of professional software engineering experience with a systems language (C++, Rust) and an analysis/scripting language (Python, MATLAB).
• Experience with performance analysis and optimization of complex software systems (profiling, bottleneck identification, latency reduction, computational efficiency).
• Comfort with numerical and scientific computing concepts (integration methods, statistical analysis).
• Demonstrated ability to take deep ownership of a system end-to-end: understand it, identify problems, design solutions, implement them, and validate the results with data.
• Experience building or maintaining automated test/validation infrastructure that enforces correctness over time.
• Track record of working effectively across team boundaries, particularly with domain experts whose systems you need to understand and integrate with.
• Ability to quickly understand and navigate complex systems and established code bases.
• A desire to work on critical software that has a real-world impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Additional for Senior candidates:

• 5+ years of professional software engineering experience.
• Experience driving technical strategy and making architectural decisions that affect multiple teams or systems.
• Track record of mentoring engineers and raising the bar for engineering practices within a team.

PREFERRED QUALIFICATIONS

• Master's degree or PhD in a relevant field.
• Experience working with simulation frameworks, game engines, physics engines, or real-time systems.
• Experience with Monte Carlo methods, parameter sweeps, or statistical validation campaigns.
• Familiarity with flight dynamics, control systems, sensor modeling, or other aerospace-adjacent domains (even at a high level).
• Experience with modern build and deployment tooling (Nix, Docker, CI/CD systems).
• Background in academic research or computational science with a transition (or desire to transition) into applied software engineering.
• Experience with data pipelines for comparing simulation output against real-world reference data.
• Familiarity with HPC environments (SLURM, containerized workloads, cluster computing).
• A bias toward rapid delivery and iteration.

ABOUT THE TEAM

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

ABOUT THE JOB

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

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

ABOUT THE TEAM

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 TEAM

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

ABOUT THE JOB

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

WHAT YOU'LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

ABOUT THE 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.