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DevSecOps Senior Automation Platform Engineer
CACI
Aberdeen Proving Ground, MD · Aberdeen Proving Ground
Job Title: DevSecOps Senior Automation Platform Engineer
Added 1 min ago
Staff Engineer, Analytics Engineering
Stellantis
Auburn Hills, MI
We are seeking a talented and experienced Analytics/Data Engineer to join our growing team. In this role, you will play a key part in designing, developing, and maintaining the data…
Added 1 min ago
Information System Security Officer - Topsecret
Parsons Technical Services, Inc.
MD
Experience with eMASS or a comparable governance, risk, and compliance platform.
Added 2 mins ago
MI
SrStaffDevOps Engineer
Maxar Intelligence I
Westminster, CO
- $128,000 to $170,000 USD / year
Lead reliability engineering efforts for the Vantor Hub platform and related infrastructure services.
Added 3 mins ago
M
Enterprise Network Engineer
Metronet
Remote, United States
- $75,000 to $95,000 USD / year
As an Enterprise Network Engineer, you will play a key role in designing, implementing, securing, optimizing, and supporting Metronet's enterprise network infrastructure and network…
Added 6 mins ago
Lead Infrastructure Engineer
JPMC page
Jersey City, NJ
If you are a hands-on infrastructure engineering leader who thrives at the intersection of platform reliability, automation, and technical strategy, this role offers the scope and scale to…
Added 6 mins ago
Vice President, Clinical Quality Assurance
Kriya Therapeutics
Morrisville, NC
We leverage our proprietary computational engine, in-house manufacturing infrastructure, and integrated design platform to engineer technologies and therapeutics with the potential to…
Added 6 mins ago
Senior Manager, Clinical Quality Assurance (Contract)
Kriya Therapeutics
Morrisville, NC
We leverage our proprietary computational engine, in-house manufacturing infrastructure, and integrated design platform to engineer technologies and therapeutics with the potential to…
Added 9 mins ago
Cloud Adoption Engineer - Oracle Government, Defense & Intelligence
Oracle
Reston, VA · Washington, DC
Oracle Government, Defense & Intelligence is seeking a Cloud Adoption Engineer to help U.S. Federal Government customers establish secure, scalable, and operationally ready Oracle Cloud…
Added 12 mins ago
Principal Cloud Platform Engineer
Make Your Move
Salem, MA
Serve as senior hands-on engineer and escalation point for complex cloud, infrastructure, and production issues.
Added 16 mins ago
Senior Software Engineer (Institutional, Financing)
Coinbase
Topeka, KS
As a Senior Software Engineer on the Financing Engineering team within the Institutional group, you'll design, build, and scale the systems that safely manage billions of dollars in loans…
Added 16 mins ago
Associate Software Engineer
Highmark Health
Topeka, KS
This job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. Responsible for…
Added 16 mins ago
Vice President, Cloud Platform Engineer
SitusAMC
Topeka, KS
…Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and implement enterprise-scale automation for scalability, performance, security, and…
Added 16 mins ago
Network Operations Engineer
Meta
Topeka, KS
Change Management: Identify security & business continuity issues affecting the network and infrastructure at Meta and work with the team to implement effective changes. Provide feedback on…
Added 24 mins ago
Platform Engineer - SCON
Accenture Federal Services
Washington, DC · Arlington, VA
Architect and develop IT platform solutions in support of database and application development. Implement designs for modernizing legacy data sharing and integration with external partners…
Added 25 mins ago
Sr. Controls Engineer, Data Center, Colocation Regional Engineering - AMER
Amazon
Boardman, OR
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all…
Added 25 mins ago
Senior Software Engineer (Institutional, Financing)
Coinbase
Salem, OR
As a Senior Software Engineer on the Financing Engineering team within the Institutional group, you'll design, build, and scale the systems that safely manage billions of dollars in loans…
Added 25 mins ago
Associate Software Engineer
Highmark Health
Salem, OR
This job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. Responsible for…
Added 25 mins ago
Vice President, Cloud Platform Engineer
SitusAMC
Salem, OR
…Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and implement enterprise-scale automation for scalability, performance, security, and…
Added 25 mins ago
Network Operations Engineer
Meta
Salem, OR
Change Management: Identify security & business continuity issues affecting the network and infrastructure at Meta and work with the team to implement effective changes. Provide feedback on…
Added 27 mins ago
Senior AI Engineer
Cornell University
Ithaca, NY
…applications are built across the university. The Senior AI Engineer collaborates closely with the Principal Solutions Architect for the AI Platform to define patterns and reference…
Added 33 mins ago
Infrastructure Engineer II
Emergent Holdings, Inc.
Corinth, MS
SUMMARY: The Infrastructure Engineer II role is responsible for the operations of secure and highly available computing platforms, servers, and networks. This role is responsible for…
Added 33 mins ago
Infrastructure Engineer I
Emergent Holdings, Inc.
Jackson, MS
Job Description: SUMMARY: The Infrastructure Engineer I role is responsible for the operations of secure and highly available computing platforms, servers, and networks. This role is…
Added 45 mins ago
Software Product Engineer
Premier Global Links
San Francisco · San Francisco, CA
Premier Global Links LLC is seeking an experienced Product Engineer for an innovative AI and engineering technology company in San Francisco. This role is ideal for a hands-on full-stack…
Added 46 mins ago
Senior AI Engineer, Marketing
OPSWAT
Remote, United States
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the…

Senior Full Stack AI Engineer (US Citizen)

Remote, United States

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Job details

Experience: 6+ years of significantly demonstrated leadership responsibility experience.
Posting language: English
Posted: Nov 5, 2026

Original job description

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Job Type

Full-time

Description

NOTE: This opportunity is full-time employment position only (no 1099 or C2C engagements, or third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen). This is a remote opportunity; candidate must be based in the U.S.; preference given to candidates in the Washington DC, Maryland, Virginia (DMV) area; ET zone work schedule.

Daily Responsibilities

Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Serve as a senior technical lead, defining AI and application architecture for the platform in partnership with and under the direction of the Director.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Lead design, development, and deployment of advanced AI solutions, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable AI applications and services using Next.js, cloud-native APIs, and managed AI services across AWS, Azure, and GCP.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns.
Oversee the full AI solution lifecycle: data pipelines, evaluation, deployment, and monitoring.
Drive LLM performance and cost optimization (e.g., caching, prompt and context optimization, model selection).
Establish robust MLOps practices leveraging GitHub-based automation, CI/CD pipelines, and tooling.
Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems.
Serve as SME in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179).
Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety.
Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements.
Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines and CI/CD automation (e.g., GitHub Actions), zero-trust architectures, and secure software supply chain practices.
Ensure delivery of resilient, high-availability systems in regulated federal environments.
Lead multiple concurrent engineering efforts across integrated teams.
Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing coding standards and engineering best practices.
Mentor senior engineers and technical leaders; elevate engineering excellence and code quality.
Support technical strategy in proposals, captures, and client engagements.
Contribute to thought leadership (whitepapers, architecture patterns, platform strategy).

Requirements

Must of a U.S. Citizen, as mandated by our government client.
Must be able to complete/pass/hold at a minimum a Public Trust Investigation / background check. An active clearance (e.g. Public Trust, Secret, or higher) is preferred.
Must be based / reside in the U.S.
12+ years of software engineering experience combining senior technical leadership, hands-on expertise in AI and LLM systems built on a modern cloud stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), and ownership of enterprise architecture, governance, and innovation.
8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems) Expert-level full-stack development experience, including designing production-grade AI systems, data pipelines, and microservices-based architectures.
6+ years of significantly demonstrated leadership responsibility experience.
Expert-level proficiency across the platform stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), including building large-scale AI applications, APIs, and data pipelines.
Full-stack engineering skills, including modern front-end frameworks (e.g., Next.js/React), back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep expertise in LLMs and generative AI, including transformer-based model architectures and their practical application.
Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures.
Strong understanding of large-scale data systems and ML evaluation methodologies.
Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention.
Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases.
Expertise designing AI systems in cloud-native, distributed environments across AWS, Azure, and GCP.
Proficiency with infrastructure as code, including Terraform, for provisioning and managing cloud environments.
Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini.
Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering
Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents).
Proven success delivering enterprise-scale systems and modernization programs.
Strong background in microservices, APIs, distributed systems, and DevSecOps practices.
Demonstrated ability to translate AI research into production systems.
Demonstrated ability to own solutions end to end, from discovery and prototyping through production deployment, integration, and ongoing support.
Ability to balance strategic vision with deep hands-on technical execution.
Excellent analytical skills, attention to detail, and strong problem-solving abilities.
Excellent communication and collaboration skills to communicate complex analytical insights to executive and non-technical stakeholders. Ability to translate ambiguous business questions into analytical solutions.
BS or MS degree (preferred) in engineering, data science, computer science, statistics or related field.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. $155k-$175k.

Salary Description

$155k - $175k

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More about this job

Skills

Regulatory compliance
Decision making
GitHub
CI/CD
Microservices
Supply chain management
Leadership
Next.js
IBM Terraform
AWS
Microsoft Azure
Google Cloud
ML
Full-stack development
React
API development
Kubernetes
CMS
Loss prevention
Data engineering
SQL
NoSQL
Infrastructure as code
LangChain
Research
Analytical skills
Attention to detail
Problem solving
Communication skills
Collaboration
Computer science
Statistics

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