AWS DevOps / MLOps Engineer

Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. 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:

• Design and maintain CI/CD pipelines to support automated testing, deployment, and change management across CDP, data lake, marketing cloud, and Azure migration.
• Provision and manage AWS environments (S3 buckets, Glue jobs, networking, IAM, VPCs) for non-production development and staging, ensuring environments are logically segregated with no public internet access per SOW requirements.
• Implement and enforce infrastructure as code (IaC) using AWS CDK or Terraform to ensure reproducible, auditable environment configurations across all workstreams.
• Manage MLOps lifecycle on Amazon SageMaker — including model versioning, deployment automation, endpoint monitoring, and automated retraining triggers for lead scoring, predictive maintenance, underwriting, and audience segmentation models.
• Support Amazon Bedrock integration deployments — managing prompt versioning, model configuration, and API endpoint reliability.
• Implement and maintain data lake security infrastructure using AWS Lake Formation, including row-level security, column-level encryption, and IAM permission boundaries.
• Support Azure to AWS migration execution — provisioning target AWS environments, coordinating AWS DataSync jobs, managing cutover procedures, freeze periods, and rollback plans.
• Monitor pipeline health, data job execution, and ML endpoint performance across AWS Glue, Step Functions, Lambda, Kinesis, and SageMaker using CloudWatch and AWS-native observability tools.
• Implement cost optimization practices across all AWS services; provide guidance on Azure resource decommissioning post-migration.
• Coordinate change management processes per SOW requirements — documenting changes, obtaining approvals, executing peer-reviewed deployments, and maintaining rollback procedures.
• Collaborate with Data/ML and Full Stack engineers to ensure smooth integration across data pipelines, ML inference, and application layers.
• Contribute to operations runbooks, deployment guides, and infrastructure documentation.

Qualifications:

• 4+ years of DevOps or cloud infrastructure experience, with at least 2+ years on AWS.
• Hands-on experience with CI/CD tooling (GitHub Actions, AWS CodePipeline, Jenkins, or equivalent) in a multi-environment AWS setup.
• Proficiency with infrastructure as code — AWS CDK, CloudFormation, or Terraform.
• Working knowledge of MLOps practices on Amazon SageMaker — model deployment, endpoint management, monitoring, and pipeline automation.
• Experience with AWS IAM, Lake Formation, VPC, and security best practices for data environments.
• Familiarity with AWS monitoring and observability tools — CloudWatch, CloudTrail, AWS Config.
• Experience supporting data pipeline infrastructure — AWS Glue, Step Functions, Lambda, Kinesis, and S3.
• Strong understanding of environment management, change control processes, and rollback procedures in enterprise delivery contexts.
• Ability to work in Agile/Scrum teams alongside AWS Professional Services with structured change approval workflows.

Nice to Have:

• Experience with Azure infrastructure and Azure-to-AWS migration (DataSync, networking, decommissioning).
• Familiarity with Amazon Bedrock deployment and API management.
• Experience with Amazon Connect or omnichannel platform infrastructure.
• Knowledge of data compliance and privacy controls (encryption at rest/in transit, access logging, audit trails).
• AWS Certification (DevOps Engineer Professional, Solutions Architect, or Machine Learning Specialty).
• Exposure to Kiro CLI or AI-assisted infrastructure tooling.
• Background in real estate, property management, or enterprise SaaS environments.

“Our Culture”: At Capnexus, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are:

• "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

We offer

Job Type: Full-time Benefits:

• Remote work

Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please! Apply tot his job Apply To this Job