AWS DevOps / MLOps Engineer
Indexed description
Who You Are and What You'll Do:
Capnexus is looking for a highly motivated and experienced AWS DevOps / MLOps Engineer to join our growing team. This is an exciting opportunity for a driven professional passionate about building cutting-edge cloud, automation, and AI-enabled infrastructure solutions in enterprise AWS environments.
We are specifically looking for candidates with deep hands-on AWS DevOps experience, ideally including experience working with or alongside AWS Professional Services (AWS ProServe) teams.
Responsibilities:
- 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.
- 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.
- Experience supporting AI/ML infrastructure or MLOps workflows.
- Experience with Kubernetes, Docker, and container orchestration.
- Experience supporting front-end deployments and modern web applications (ReactJS or similar).
- AWS certifications (Solutions Architect, DevOps Engineer, Machine Learning Specialty, etc.).
- Experience with version control systems such as Git.
- "A Customer Obsessed, Delivery Focused, Culture"
- We’re driven to exceed our customers’ expectations by listening, leading, solving problems, and delivering what we promise
- We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME
- "A Culture of Learning and Sharing"
- We value “Lifetime Learners”; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge.
- Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities.
- We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach.
- Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially.
- "A Culture of Growth and Scalability"
- Growth comes from not establishing barriers in your role. “Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way.
- The most elegant solution is a simple solution. Simple doesn’t mean easy. It’s often more difficult to break a complex problem down into simple, scalable terms. We don’t appreciate, or value, over architected solutions or superfluous coding.
- Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time.
- "All Work is Strategic"
- No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow
- Every task, interaction, and commitment matters
- Big or small, we execute our plans and strategies with focus, commitment, and passion
Benefits:
- Remote work
No Agencies Please!
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