FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
AWS DevOps, MLOps Engineer
Capstone Integrated SolutionsAWS DevOps/MLOps Engineer at Capnexus providing cloud infrastructure solutions in enterprise environments. Collaborating with cross-functional teams to deliver scalable CI/CD pipelines.
Tech Stack
Tools & technologiesAWSAzureCloudDynamoDBOraclePostgresPythonTerraform
About the role
Key responsibilities & impact- Collaborate with cross-functional engineering, infrastructure, and AI teams to design, implement, and maintain scalable AWS cloud environments and CI/CD pipelines.
- Build, automate, and manage AWS-based infrastructure supporting development, production, and AI/ML workloads.
- Design and maintain Infrastructure as Code (IaC) solutions using Terraform, AWS CDK, and CloudFormation.
- Develop and optimize CI/CD pipelines using Azure DevOps and GitHub Actions/GitHub CI/CD workflows.
- Support deployment, monitoring, automation, and operational excellence across cloud-native applications and services.
- Work closely with development and AI teams to integrate modern AI tooling and automation capabilities into engineering workflows.
- Implement best practices around reliability, scalability, observability, security, and performance optimization in AWS environments.
- Participate in architecture discussions, infrastructure planning, troubleshooting, and continuous improvement initiatives.
- Support MLOps-related workflows and infrastructure for AI-enabled applications and services.
Requirements
What you’ll need- Bachelor’s degree in Computer Science or a related field.
- Strong hands-on experience as an AWS DevOps Engineer or MLOps Engineer in enterprise environments.
- Experience working with or supporting AWS Professional Services (AWS ProServe) engagements is strongly preferred.
- Deep expertise with AWS services including Lambda, API Gateway, Step Functions, ECS/EKS, IAM, CloudWatch, Amplify, and other core AWS technologies.
- Expert-level experience with Terraform, AWS CDK, and CloudFormation.
- Strong experience building and maintaining CI/CD pipelines using:
- Azure DevOps
- GitHub Actions / GitHub CI/CD
- Experience incorporating AI-enabled development tooling and automation into engineering workflows.
- Familiarity with modern AI engineering tools such as Kiro CLI or similar AI-assisted development tooling.
- Strong scripting/programming skills in Python or similar languages.
- Experience with infrastructure monitoring, logging, and performance optimization.
- Experience with databases such as RDS, PostgreSQL, Oracle, and DynamoDB.
- Strong understanding of DevOps, cloud security, automation, and infrastructure best practices.
- Excellent troubleshooting, analytical, and problem-solving skills.
- Strong communication and collaboration abilities in cross-functional enterprise environments.
- Ability to work independently in fast-paced, highly technical client-facing environments.
Benefits
Comp & perks- Remote work 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AWSCI/CDInfrastructure as CodeTerraformAWS CDKCloudFormationAzure DevOpsGitHub ActionsPythonMLOps
Soft Skills
troubleshootinganalytical skillsproblem-solvingcommunicationcollaborationindependenceadaptabilitycross-functional teamworkoperational excellencecontinuous improvement