Remote jobs in the United States

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Added 1 hour ago
Lead Cloud Engineer (Security / SRE)
Ignite IT
Remote, United States
Ignite IT is seeking a Lead Cloud Engineer (Security / SRE) to support the U.S. Census Bureau as it modernizes its enterprise IT environment ahead of the 2030 Decennial Census. This is a…
Added 5 hours ago
Manager, DevOps Enterprise Architect
Amyris, Inc.
Remote, United States
Define container platform and GitOps standards, and evaluate and adopt emerging platform, cloud, and AI capabilities – including supporting services and controls – where they improve…
Added 9 hours ago
PI
Senior Platform Engineer - AI Platform
Porch.com, Inc.
Remote, United States
- $168,800 to $236,300 USD / year
Job Title: Senior Platform Engineer - AI Platform
Added 10 hours ago
Senior AI Agentic App Sec Engineer
Cardinal Health 5, LLC
Remote, United States
This engineer will partner with Application Security, software engineering, cloud and platform teams, Security Architecture, AI Governance, and other information security functions to move…
Added 12 hours ago
IT Security Specialist III
GAMA-1 Technologies
Remote, United States
The IT Security Specialist III will serve as the security lead for a cloud platform supporting a safety-of-life weather-warning system, integrating security practices across the software…
Added 12 hours ago
Engineer
Associated Bank, NA
Remote, United States
As an Engineer, you will support and enhance cloud-based platforms and infrastructure with a focus on Amazon Web Services (AWS) and infrastructure as code. This role partners closely with…
Added 13 hours ago
Staff Software Engineer - Resiliency
Jeppesen ForeFlight
Remote, United States
Drive resiliency into the container platform: ECS/Fargate and EKS workload placement, capacity headroom, failure-domain isolation, graceful degradation, and recovery behavior under…
Added 13 hours ago
Senior Software Engineer
Veeam Software
Remote, United States
We are looking for a Software Developer to contribute to our Veeam Kasten data management platform, purpose-built for Kubernetes, ensuring top-tier security and excellence.
Added 13 hours ago
XR
Staff Software Engineer
X4V Rapid7 LLC
Remote, United States
- $164,600 to $222,600 USD / year
Rapid7 is seeking a Staff Software Engineer to empower and scale our 24x7 Managed Detection and Response (MDR) and Incident Response (IR) operations. In this role, you will act as a…
Added 14 hours ago
Senior Security Engineer, Application Security
Angi
Remote, United States
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For…
Added 16 hours ago
Senior Manager, Engineering (Seattle or West Coast Preferred)
Docker
Remote, United States
…trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and…
Added 16 hours ago
X
Senior Software Engineer
Xplor
Remote, United States
- $150,000 to $170,000 USD / year
…loyalty, and referrals, all built on a shared customer data platform that connects to Xplor's business management…
Added 16 hours ago
Staff DevSecOps Engineer
Legion Intelligence
Remote, United States
We’re looking for a Staff DevSecOps Engineer who will set technical direction across Platform DevOps and customer delivery. You will shape the engineering systems and practices that take…
Added 19 hours ago
Senior Software Engineer, Cloud Applications
Jobgether
Remote, United States
As a Senior Software Engineer, Cloud Applications, you will play a critical role in designing and building the cloud infrastructure and backend systems that power a large-scale customer…
Added 20 hours ago
Staff Security Engineer
Jobgether
Remote, United States
The Staff Security Engineer will play a key role in strengthening product, infrastructure, and application security across a leading product analytics platform. Working within the…
Added 21 hours ago
Staff Security Engineer
Jobgether
Remote, United States
This is an opportunity to take ownership of security across an innovative AI-powered platform where autonomous agents perform complex tasks involving code, research, and business…
Added 1 day ago
C
AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
The engineer will design, automate, secure, and operate cloud infrastructure, CI/CD pipelines, container platforms, and shared platform services while supporting the infrastructure and…
Added 1 day ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 1 day ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 1 day ago
AC
Senior Sales Engineer
AppGate Cybersecurity, Inc.
Remote, United States
- $175,000 to $225,000 USD / year
The Senior Sales Engineer (SE) is the senior pre-sales subject matter expert for AppGate ZTNA and owns the technical engagement with commercial prospects from first meeting through…
Added 1 day ago
Senior Storage Engineer
Runware
Remote, United States
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 1 day ago
Senior Security Engineer
Runware
Remote, United States
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 1 day ago
Principal Engineer, Model Performance
Runware
Remote, United States
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 1 day ago
Site Reliability Engineer
neurohire.ai
Remote, United States
NeuroHire is seeking a motivated and technically curious Site Reliability Engineer (SRE) to join our team. In this role, you will help maintain the reliability, availability, performance,…
Added 2 days ago
RU
Automation Engineer (Ansible / Infrastructure)
Randstad USA
Remote, United States
- $65 to $70 USD / hour
AWS,Ansible Automation,Ansible,Ansible Automation Platform,Ansible Tower,Bash scripting,code structure,container platforms,configuration tools,enterprise…

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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