Remote jobs in the United States

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Added 1 hour ago
Senior Developer - Full Stack
Cydcor
Remote, United States
We are a Salesforce-centric organization with a modern, multi-platform engineering stack spanning Salesforce, MuleSoft, Informatica Cloud, Python, PostgreSQL, and AWS. We are looking for a…
Added 1 hour ago
ServiceNow Engineer Principal
SAIC
Remote, United States
Participate in any data normalization required prior to being imported / inserted into ServiceNow.
Added 2 hours ago
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Principal Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
As a Principal Full Stack Software Engineer, you will own the technical direction of CVector’s customer-facing platform end to end - from the real-time data visualization and AI-driven…
Added 2 hours ago
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Principal Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
As a Principal Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems,…
Added 2 hours ago
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Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 2 hours ago
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Senior Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform - including our web applications, back-end data pipelines,…
Added 3 hours ago
Senior Full-Stack Engineer, Agent Management Platform
CrewAI
Remote, United States
CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies. The…
Added 3 hours ago
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Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
As a Senior Google AI Engineer, you will serve as a hands‑on technical leader for AI solution delivery. You’ll translate mission needs into secure, scalable AI/ML systems; guide data,…
Added 3 hours ago
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AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
Credence has an immediate need for an AI Platform & DevSecOps Engineer to support federal programs hosted within AWS GovCloud. This hands-on engineering role combines DevSecOps, cloud…
Added 3 hours ago
Cloud Platform Engineer- Entry Level
Credence
Remote, United States
Credence is seeking an entry/junior-level Cloud Platform Engineer to support secure AWS hosting environments for Department of War customers. You will join an established platform team,…
Added 4 hours ago
Forward Deployed Integrations Engineer
Coursedog
Remote, United States
As a Forward Deployed Integrations Engineer at Coursedog, you'll embed directly with our most strategic customers to own their SIS integration from start to finish, working closely with…
Added 4 hours ago
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Sales Solutions Engineer - Ed Tech
Coursedog
Remote, United States
- $120,000 to $140,000 USD / year
As a Solutions Engineer at Coursedog, you’ll lead the demos, scoping, and CX calls that align customers, Sales, and Customer Success before a deal is booked. You’ll work closely with…
Added 5 hours ago
Principal AI translation architect 200 languages
Travoom
Remote, United States
…leading the architecture of a next-generation conversational AI platform that replaces traditional search with intelligent dialogue. This role owns the systems that understand user intent,…
Added 5 hours ago
Senior Payments Infrastructure Engineer - Crypto, Wallets & Blockchain
Travoom
Remote, United States
OleOle is building a global social network and messaging platform for football fans. Our mission is to create a single global community where supporters can follow their club and country,…
Added 5 hours ago
Principal AI Architect - OleOle
Travoom
Remote, United States
OleOle is building a global social network and messaging platform for football fans. Our mission is to create a single global community where supporters can follow their club and country,…
Added 5 hours ago
Agentic Context Engineer
Wisdom AI
Remote, United States
WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights - it explains the why behind…
Added 5 hours ago
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Senior Full Stack Ruby on Rails Engineer
SmartFinancial
Remote, United States
- $150,000 to $170,000 USD / year
As a leading insurance marketplace, we connect millions of shoppers with a broad ecosystem of insurance partners through modern, data-driven platforms.
Added 5 hours ago
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Senior Software Engineer III, Backend
Connexity | Skimlinks, a Taboola company
Remote, United States
- $175,000 to $200,000 USD / year
Connexity, a Taboola company, is a data-driven retail performance marketing and commerce platform that helps online retailers acquire new customers and drive incremental sales at a cost…
Added 6 hours ago
Software Automation & Platform Engineer - Federal Health IT
Rackner
Remote, United States
Software Automation & Platform Engineer - Federal Health IT
Added 9 hours ago
Senior Forward Deployed Engineer
Raydar
Remote, United States
- Design and build AI-driven agents and analytical products on top of shared internal platform components.
Added 10 hours ago
Systems Engineer
Celtic Bank
Remote, United States
Celtic Bank is seeking a Systems Patch Engineer to manage and optimize our enterprise patch management program. This role focuses on operating system and third-party application patching…
Added 10 hours ago
Security Engineer
Celtic Bank
Remote, United States
Celtic Bank is seeking a skilled Security Engineer to help protect the Bank’s systems, data, and technology environment. This role is responsible for identifying, reducing, and continuously…
Added 12 hours ago
Senior AI Engineer
TSGUS HCG LLC
Remote, United States
Senior AI Engineer, Agentic Solutions & Workflows
Added 12 hours ago
Agent Engineer
Clera
Remote, United States
…with confidence. This role combines agent systems engineering, platform development, integrations, and full-stack product…
Added 12 hours ago
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Principal or Staff Product Security Engineer
Skylight
Remote, United States
- $200,000 to $250,000 USD / year
You'll own the day-to-day execution of our product security program across our cloud backend, mobile apps, and Android platform. You'll triage and drive remediation of vulnerabilities, run…

Credence

AI Platform & DevSecOps Engineer

Remote, United States

$150,000 to $190,000 USD / year

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Job details

Pay: $150,000 to $190,000 USD / year
Experience: 5+ years of hands-on experience in DevSecOps, DevOps, cloud engineering, platform engineering, software engineering, or related technical roles.
Posting language: English
Posted: Sep 24, 2026

Original job description

Description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Credence has an immediate need for an AI Platform & DevSecOps Engineer to support federal programs hosted within AWS GovCloud. This hands-on engineering role combines DevSecOps, cloud infrastructure, platform engineering, security automation, and AI platform enablement to support secure and reliable delivery of mission-critical applications. The engineer will design, automate, secure, and operate cloud infrastructure, CI/CD pipelines, container platforms, and shared platform services while supporting the infrastructure and operational capabilities needed for AI-enabled applications and services. The ideal candidate has a strong foundation in AWS, Kubernetes, Infrastructure as Code (IaC), CI/CD, Python, security automation, and production operations, along with practical knowledge of modern AI technologies and the infrastructure patterns used to securely deploy and operate AI-enabled solutions. Core Responsibilities DevSecOps & Platform Engineering: Design, build, and maintain secure, scalable platform capabilities supporting application development and delivery within AWS GovCloud. Develop reusable infrastructure, automation, deployment patterns, and platform services that improve engineering consistency, security, and developer productivity. AWS GovCloud Architecture & Management: Design, implement, and maintain secure, scalable, and compliant AWS GovCloud environments supporting DoD and federal applications. Work with AWS services including Amazon EKS, ECS/Fargate, IAM, VPC, S3, CloudWatch, and other approved cloud-native services. DevSecOps Pipeline Development: Build, maintain, and improve CI/CD pipelines using technologies such as GitLab CI/CD, Jenkins, AWS CodePipeline, and related tooling. Automate application and infrastructure deployments while integrating testing, security scanning, compliance checks, and deployment controls into delivery workflows. Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration using technologies such as Terraform, CloudFormation, and Ansible. Develop reusable infrastructure components and apply version control, peer review, automated validation, and repeatable deployment practices. Containerization & Orchestration: Deploy and operate containerized applications using Docker/OCI containers and Kubernetes, including Amazon EKS. Support workload configuration, networking, storage, secrets, scaling, resource management, upgrades, security, and troubleshooting. Security & Compliance: Integrate security throughout the software development lifecycle and support compliance with applicable federal cybersecurity frameworks, including NIST 800-53, NIST 800-171, RMF, FedRAMP, STIGs, and Zero Trust principles. Implement and support automated security capabilities including SAST/DAST, software composition analysis, container scanning, IaC scanning, secrets detection, vulnerability management, and compliance validation. AI Platform Enablement: Support the cloud infrastructure and shared platform capabilities required to securely deploy and operate AI-enabled applications and services. Work with AI and software engineering teams to establish repeatable patterns for deployment, configuration, access control, security, monitoring, scalability, and operational support. AI/LLM Service Integration: Support the secure integration and operation of approved AI and LLM services, including platforms such as Amazon Bedrock and other enterprise AI services. Assist engineering teams with infrastructure, authentication and authorization, API connectivity, configuration, deployment automation, monitoring, and operational troubleshooting. Monitoring, Observability & Incident Response: Implement monitoring, logging, tracing, dashboards, and alerting across cloud infrastructure, Kubernetes, applications, and platform services using technologies such as AWS CloudWatch, Security Hub, GuardDuty, Splunk/ELK, Prometheus, Grafana, OpenTelemetry, or comparable solutions. Participate in incident response, root-cause analysis, vulnerability remediation, and continuous reliability improvements. Automation & Scripting: Develop automation and platform tooling using Python, Bash, PowerShell, or similar technologies to eliminate repetitive operational tasks, integrate services and APIs, enforce platform standards, and improve deployment efficiency. Production Operations: Troubleshoot complex infrastructure, application, CI/CD, Kubernetes, networking, and cloud service issues in production and production-like environments. Support operational readiness, system reliability, capacity, performance, and continuous improvement. Collaboration & Knowledge Sharing: Work closely with software engineers, AI engineers, cybersecurity teams, cloud engineers, architects, and mission stakeholders to integrate security, automation, and platform capabilities throughout the software development lifecycle. Develop technical documentation, architecture diagrams, runbooks, and reusable engineering standards.

Why This Role Matters Mission Impact - Build and operate secure cloud and DevSecOps capabilities that directly support mission-critical federal applications and emerging AI-enabled solutions. Secure AI Enablement - Help bridge the gap between AI development and production operations by providing secure, automated, observable, and repeatable platform capabilities for deploying AI-enabled applications within federal environments. Modern Platform Engineering - Work across AWS GovCloud, Kubernetes, Infrastructure as Code, CI/CD, automation, cybersecurity, observability, and emerging AI technologies while helping modernize how applications are delivered and operated. Cross-Functional Engineering - Collaborate with DevSecOps, software, AI, cloud, and cybersecurity engineers to solve complex technical challenges without being limited to a single technology domain. Continuous Growth - Expand existing DevSecOps and cloud expertise into AI platform engineering while continuing to deepen skills in automation, security, cloud-native technologies, and production operations.

What You Bring

Bachelor’s degree in Computer Science, Information Technology, Engineering, Cybersecurity, or a related technical field, or equivalent relevant professional experience.
5+ years of hands-on experience in DevSecOps, DevOps, cloud engineering, platform engineering, software engineering, or related technical roles.
Strong hands-on experience designing, deploying, or operating workloads within AWS; AWS GovCloud experience is highly desirable.
Hands-on experience with Docker/OCI containers and Kubernetes, preferably Amazon EKS.
Experience developing and maintaining CI/CD pipelines using GitLab CI/CD, Jenkins, AWS CodePipeline, or comparable technologies.
Strong experience with Infrastructure as Code, including Terraform, CloudFormation, or comparable technologies.
Proficiency with Python and experience using Bash, PowerShell, or similar scripting languages for automation.
Experience with Git-based development workflows, automated testing, artifact management, and modern software delivery practices.
Experience integrating security capabilities into CI/CD and cloud environments, including vulnerability scanning, secrets management, IAM, secure configuration, and automated security controls.
Experience implementing monitoring, logging, alerting, and operational troubleshooting for production or production-like environments.
Working knowledge of AI/ML and generative AI technologies, including LLMs, AI APIs, model inference, and cloud infrastructure supporting AI-enabled applications.
Experience supporting, deploying, integrating, or operating AI/ML or AI-enabled applications in cloud or containerized environments.
Understanding of cloud security principles, identity and access management, networking, encryption, secrets management, and least-privilege access.
Strong troubleshooting, technical communication, documentation, and cross-functional collaboration skills.
U.S. Citizenship with eligibility for a DoD Secret clearance.

Preferred

Experience supporting DoD, federal civilian, or other highly regulated environments.
Hands-on experience with AWS GovCloud.
Knowledge of federal cybersecurity requirements and frameworks including RMF, NIST 800-53, NIST 800-171, FedRAMP, DISA STIGs, and Zero Trust.
Experience with Amazon Bedrock, Amazon Sagemaker, or other enterprise AI/ML platforms and services.
Familiarity with operational considerations for AI workloads, including security, observability, scalability, availability, performance, and cost.
Experience implementing CI/CD or platform automation supporting AI-enabled applications and services.
Familiarity with AI security and governance considerations within federal or regulated environments.
Experience with Helm, Argo CD, Flux, or other Kubernetes/GitOps technologies.
Experience with observability technologies such as CloudWatch, Prometheus, Grafana, OpenTelemetry, Splunk, or ELK.
Experience with software supply-chain security practices such as SBOM generation, artifact signing, provenance, container hardening, and policy enforcement.
Experience with secrets-management and security technologies such as AWS Secrets Manager, AWS KMS, HashiCorp Vault, or comparable solutions.
AWS, Kubernetes, security, DevSecOps, or AI/ML-related professional certifications.

Salary Range $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate’s experience, education, certifications, skills, location, and overall qualifications.

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development
Wellness Resources

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