Jobs in the United States

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Added 7 mins ago
SSD Mfg NPI Product Engineer, Nitro SSD
Amazon Data Services, Inc.
Seattle, WA · Cupertino, CA
…experienced professionals to help build the world’s premier cloud computing platform. We are looking for Manufacturing Engineers who are capable of operating in a fast paced, ever changing,…
Added 22 mins ago
Principal AI translation architect 200 languages
Travoom
Remote, United States
…understanding intent, gathering information from dozens of independent systems, reasoning over the results, ranking recommendations, asking intelligent follow-up questions, and delivering…
Added 22 mins ago
Principal AI Architect - OleOle
Travoom
Remote, United States
…models, self-hosted AI infrastructure, GPU optimization, and production AI systems. The objective is to build an adaptable, cost-efficient AI foundation that allows OleOle to develop new…
Added 28 mins ago
Agentic Context Engineer
Wisdom AI
Remote, United States
The Role: As an Agentic Context Engineer at WisdomAI, you will work within a Field Engineering team to guide customers from early solution shaping through scaled deployment. You will help…
Added 28 mins ago
S
Senior Full Stack Ruby on Rails Engineer
SmartFinancial
Remote, United States
- $150,000 to $170,000 USD / year
We’re seeking an experienced Senior Full Stack Ruby on Rails Engineer to help build, evolve, and scale the core systems that power our agent-facing, carrier-facing, and internal…
Added 1 hour ago
Staff Software Engineer
Conga
Boston, MA · Houston, TX
The Staff Software Engineer is a hands-on backend role focused on building the Java services that power real-time pricing across Conga's platform. This position is responsible for designing…
Added 1 hour ago
Software Engineer, Runtime Infrastructure
Nominal
NY
3+ years of experience as a backend or full stack engineer, building and running production systems where performance, reliability, and operational simplicity matter.
Added 2 hours ago
Product Security Engineer
Nominal
NY · WA
Hands-on experience performing threat modeling and security design reviews for distributed systems or cloud-hosted services.
Added 2 hours ago
Staff Software Engineer, Applied AI
SuperDial
Burlingame, CA
SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives…
Added 2 hours ago
Web Developer
CACI International
Chantilly, VA
Use AWS services and related cloud technologies to design, develop, deploy, monitor, troubleshoot, and support cloud-based applications.
Added 2 hours ago
Cloud Solutions Engineer
Office of the Director of National Intelligence
McLean, VA
…support the Chief Technology Officer. Design, build, and maintain cloud infrastructure for IC OIG systems, including case management software and mission-critical applications hosted in…
Added 4 hours ago
Engineer, Enterprise AI
NAVITUS HEALTH SOLUTIONS LLC
MIDDLETON, WI
Added 4 hours ago
Site Reliability Engineer
CLA HUDSON
HUDSON, WI
Added 4 hours ago
Infrastructure Engineer II
EMERGENT HOLDINGS, INC.
NEW BERLIN, WI
Added 4 hours ago
Software Engineer II- ECM Specialization
EMERGENT HOLDINGS, INC.
NEW BERLIN, WI
Added 4 hours ago
Infrastructure Engineer I
EMERGENT HOLDINGS, INC.
NEW BERLIN, WI
Added 4 hours ago
Senior Cloud Data Engineer
AMERICAN FOODS GROUP LLC
GREEN BAY, WI
Added 4 hours ago
Devops Engineer Senior
BLUE SHIELD OF CALIFORNIA
MILWAUKEE, WI
…Digital Applications\' technical products are built. The DevOps Engineer, Senior will report to the Senior Manager, Digital Platform as your direct manager. In this role you will design,…
Added 4 hours ago
Senior Forward Deployed Engineer
Raydar
Remote, United States
…engagements from first demonstration through integration and production launch. This role blends hands-on engineering with solution architecture, delivering end-to-end software for external…
Added 4 hours ago
Software Engineer, Distributed Compute
Base Power Company
Austin, TX
…homes and grid infrastructure. We're looking for a Software Engineer to design, build, and maintain the software systems that run on connected devices - collecting telemetry, executing…
Added 5 hours ago
SAS Data Engineer- Linux
Cesna Recruitment
Austin, TX
- Schedule regular maintenance using Isilon's and NetApp's software suites to ensure optimal performance and longevity of the storage systems.
Added 5 hours ago
Linux Engineer
Cesna Recruitment
Austin, TX
- Schedule regular maintenance using Isilon's and NetApp's software suites to ensure optimal performance and longevity of the storage systems.
Added 5 hours ago
A
Principal Software Engineering - Reliability and FinOps Engineer
AT&T
Bothell, WA
- $155,400 to $261,100 USD / year
AT&T Technology Services is modernizing the technology ecosystem through secure, scalable, cloud-enabled, and AI-powered platforms. Within Reliability & FinOps Engineering, our purpose is…
Added 7 hours ago
Senior Machine Learning Engineer
Canopy
Remote, United States
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to…
Added 7 hours ago
C
Mid-Level AI Engineer
Clera
San Francisco, CA
- $150,000 to $180,000 USD / year
Join the core product team at a pre-seed B2B SaaS company building agentic systems to automate complex workflows across enterprise and regulated industries. You will build and operate…

LEIDOS, INC.

Senior DevSecOps Engineer

Gaithersburg, MD, United States
Eagan, MN, United States
Egg Harbor Township, NJ, United States

Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

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Job details

Pay: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Posting language: English
Posted: Nov 6, 2026

Original job description

Leidos is seeking a Senior DevSecOps Engineer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP). L-CAP is a mission-critical, future-ready automation platform built on a hybrid cloud data mesh architecture, enabling next-generation air traffic management capabilities. We are building with an AI-first engineering mindset, embracing emerging AI capabilities and modern development practices to accelerate delivery, improve software quality, and continuously evolve how we design and build mission-critical systems. This role operates within a SAFe/Agile framework as part of an Agile Release Train (ART) delivering iterative value across the program. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation.

This position is located in Gaithersburg, MD; Egg Harbor Township, NJ; or Eagan, MN. This is an opportunity to contribute to projects that impact millions of air travelers.

This is a hybrid position requiring 3 days onsite and 2 days working from home, if you are located within a commutable distance (Less than 1 hour's drive one-way during normal traffic) from Gaithersburg, MD; Eagan, MN; or Egg Harbor Township, NJ. However, if you do not reside within a commutable distance, you may be considered for a 100% remote role.

What you'll do:

Build and maintain CI/CD pipelines enabling continuous integration, testing, and delivery for L-CAP
Manage Kubernetes clusters and container orchestration for platform service deployments
Develop and maintain infrastructure-as-code (IaC) using Terraform for repeatable environments
Integrate security scanning tools (SAST, DAST, SCA) into CI/CD pipelines for shift-left security
Manage container images, registries, and deployment artifacts across environments
Automate operational tasks including provisioning, scaling, and configuration management
Manage development, test, and production environments ensuring consistency and reliability
Implement monitoring, logging, and alerting solutions for platform observability
Collaborate with development teams to improve build times, deployment frequency, and reliability
Support incident response and troubleshooting of infrastructure and deployment issues
Implement software supply chain security controls including SBOM generation, artifact signing, and dependency vulnerability scanning
Manage artifact repositories and build provenance ensuring integrity of software deliverables throughout the pipeline
Support developer platform capabilities including self-service environment provisioning, documentation, and developer experience improvements
Embrace an AI-first engineering culture by actively adopting AI-assisted development tools, automation, and modern engineering practices that improve productivity, code quality, and delivery velocity.

Core Technical Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related discipline with 8 or more years of experience (or Master’s degree with 6 or more years of experience) or equivalent experience in lieu of degree.
Expert at building and maintaining CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions)
Hands-on experience with Kubernetes cluster management and container orchestration
Proficiency with Terraform or equivalent infrastructure-as-code tools
Strong experience with Docker and containerization technologies
Solid Linux systems administration skills
Proficiency in scripting languages (Bash, Python) for automation
Experience with security scanning tools and DevSecOps practices
Understanding of networking, load balancing, and service mesh concepts
Familiarity with Agile/SAFe delivery and DevOps culture
Experience with software supply chain security tools (Sigstore, SLSA, SBOM generation)
Knowledge of artifact management systems and build provenance tracking
Experience supporting internal developer platforms and developer experience initiatives
Ability to obtain and maintain a Public Trust
U.S. citizenship required
Successful completion of background investigations as required by the government customer

Preferred / Desired Qualifications

Experience with cloud platforms (AWS, Azure) including GovCloud environments
Knowledge of FedRAMP or government compliance requirements
Experience with monitoring tools (Prometheus, Grafana, ELK stack)
Familiarity with service mesh technologies (Istio, Linkerd)
Experience with GitOps workflows and tools (ArgoCD, Flux)
Knowledge of secrets management and PKI (Vault, cert-manager)
Experience in aviation, defense, or government program environments
Experience with developer portal implementation (Backstage or equivalent) and platform documentation
Desired but not required: Commutable distance (1 hour or less) to Gaithersburg, MD; Eagan, MN; or Egg Harbor Township, NJ.

Why Leidos?

You’ll work on systems where performance, precision, and reliability matter - every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission-critical software that supports national infrastructure.

If you’re excited by solving complex problems in regulated, real-world environments - and using AI as a force multiplier rather than a shortcut - we’d like to talk.

ATMC If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:

November 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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