Remote jobs in the United States

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Added 46 mins ago
Lead Platform Engineer
Valeris, Inc.
Remote, United States
In the role of Lead Platform Engineer, you will own the end-to-end architecture of the patient services platform, ensuring Salesforce Life Sciences Cloud, orchestration and workflow…
Added 1 hour ago
Senior Software Development Engineer in Test (SDET)
Jobgether
Remote, United States
The Senior Software Development Engineer in Test (SDET) will play a key role in ensuring the quality, reliability, and performance of innovative digital healthcare technology solutions. In…
Added 1 hour ago
Senior Snowflake Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Snowflake Engineer based in the United States.
Added 2 hours ago
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Senior QA/SDET
Jobgether
Remote, United States
- $180,000 to $210,000 USD / year
Lead performance, load, and reliability testing to ensure APIs and processing pipelines meet latency and throughput expectations.
Added 2 hours ago
Lead Engineer, Member Growth
Jobgether
Remote, United States
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Lead Engineer, Member Growth based in United States .
Added 2 hours ago
Senior DevOps
KēSTA I.T.
Remote, United States
KēSTA I.T. is seeking a remote DevOps Engineer to own production reliability, from safe releases and monitoring to incident response and the private cloud infrastructure behind them.
Added 3 hours ago
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Founding Engineer
Jobgether
Remote, United States
- $130,000 to $150,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Founding Engineer based in United States.
Added 6 hours ago
AI Chat R&D Trainee - Full-Stack Engineer (Go Backend) - Bilingual Mandarin
CWILL
Remote, United States
As an R&D Trainee, you'll learn by building real features with a mentor, and grow into an engineer who owns a module independently.
Added 6 hours ago
Loyalty & Referrals R&D Trainee - Full-Stack Engineer - Bilingual Mandarin
CWILL
Remote, United States
Production bug fixes and data support for enterprise customers take up a full engineer's time today. As an R&D Trainee, you'll own much of this work, learning our systems from the inside,…
Added 6 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 6 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 6 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 6 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 7 hours ago
Forward Deployed Engineer - (East coast based)
CrewAI
Remote, United States
The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking…
Added 7 hours ago
Senior Full-Stack Engineer, Agent Management Platform
CrewAI
Remote, United States
Shape frontend architecture: component APIs, state management, data fetching, navigation, and rendering performance. Balance maintainability with shipping speed.
Added 7 hours ago
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Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will…
Added 7 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 8 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 9 hours ago
Principal AI translation architect 200 languages
Travoom
Remote, United States
Added 9 hours ago
Senior Payments Infrastructure Engineer - Crypto, Wallets & Blockchain
Travoom
Remote, United States
We are seeking a hands-on Senior Payments Infrastructure Engineer to take ownership of an existing payments backend and complete its integration, testing, and production deployment.
Added 9 hours ago
Principal AI Architect - OleOle
Travoom
Remote, United States
…applications to ChatGPT, Claude, or Gemini APIs. We need an engineer with deep, firsthand experience developing, fine-tuning, deploying, and operating AI models and…
Added 9 hours 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 9 hours ago
Mojo Libraries Engineer (Copy)
Modular
Remote, United States
…incomplete and patchwork solutions that require significant performance tuning and non-generalizable, model-specific enhancements. At Modular, we are building the next generation AI…
Added 9 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
We are seeking a skilled and motivated Senior Software Engineer III, Backend to join our Internal Tools team. Our team owns the design and implementation of our next-generation internal…
Added 10 hours ago
Software Automation & Platform Engineer - Federal Health IT
Rackner
Remote, United States
Software Automation & Platform Engineer - Federal Health IT

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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