Job description

About the position Responsibilities • Design, implement, and maintain CI/CD pipelines (build, test, deploy) using tools like GitHub Actions, Azure DevOps, or Jenkins. • Build and manage Infrastructure as Code (Terraform, Bicep, CloudFormation), creating reusable templates for accelerators and client solutions. • Containerize applications (Docker), deploy to Azure Container Apps / AKS, AWS ECS/EKS, or serverless as needed. • Set up observability: logging, monitoring, alerting; tools may include Azure Monitor and other enterprise-approved tools as required. • Ensure secure deployments: identity & access management (IAM, RBAC), VNet / VPC design, private endpoints, secrets management. • Implement encryption, access controls, and compliance guardrails (HIPAA, SOC2, GDPR awareness preferred). • Ensure deployments comply with performance, reliability, and cost goals for production environments. • Provide runbooks, operational documentation, and support handoff processes. • Evaluate and adopt open-source tools to improve automation, observability, and deployment efficiency. • Collaborate with Solution Architects and Engineers to align deployment and infrastructure patterns with enterprise guardrails. Requirements • 4+ years of experience in DevOps, platform infrastructure, or cloud engineering roles. • Proficiency in Cloud platforms such as Azure and AWS — deploying services, using cloud-native tools. • Strong experience with Infrastructure as Code (Terraform or equivalent). • Hands-on with containerization (Docker) and at least one orchestration tool (Kubernetes, ECS/EKS, etc.). • Solid knowledge of CI/CD pipelines and best practices. • Experience with monitoring/logging/observability setup. • Understanding of cloud networking/security: IAM / RBAC, VNet/VPCs, private endpoints, secrets management. • Strong scripting (Python, Bash) for automation. Nice-to-haves • Familiarity with Kubernetes package management. • Exposure to AI/ML deployment (e.g. deploying models, integrating AI workflows, Azure OpenAI, LangGraph, etc.). • Strong communication skills; ability to liaise with client IT/security and internal teams. • Degree in Computer Science or related field, or equivalent hands-on experience. Benefits • Medical, dental, and vision coverage. • 401(k) plan with a generous employer match. • Employee stock purchase plan. • Generous Paid Time Off policy. • Paid parental leave and adoption assistance. • Wellness Program supporting employee total well-being.

Requirements