Senior Devops Engineer

Location:

Role Overview

Senior DevOps Engineer

You will lead DevOps strategy, modernize our infrastructure, and ensure high performance across multi-environment deployments. This role requires strong hands-on expertise, architectural thinking, excellent documentation discipline, and the ability to collaborate with cross-functional engineering teams.

Key Responsibilities

CI/CD & Automation

• Design, implement, and maintain scalable CI/CD pipelines for Prerel, QA, and Production.
• Continuously improve build, release, and deployment workflows.
• Reduce manual ops through automation and scripting.

Infrastructure Engineering

• Automate provisioning and configuration using Terraform, Ansible, and similar IaC tools.
• Architect, deploy, and maintain cloud infrastructure (AWS/GCP).
• Lead modernization initiatives: containerization, orchestration, microservices optimization.
• Implement high availability setups, DR strategies, and cost-optimized infrastructure.

AI/ML Operations

• Support AI/ML model training and deployment pipelines.
• Manage GPU orchestration and scalable model-serving environments.
• Work closely with AI and Data Engineering teams.

Monitoring, Security & Observability

• Implement centralized monitoring, logging, and alerting systems.
• Improve system reliability and incident response times.
• Ensure cloud security best practices (IAM, network security, zero-trust).
• Contribute to compliance efforts for HIPAA, SOC2, ISO 27001.

Documentation & Collaboration

• Maintain clear documentation, runbooks, and architecture diagrams.
• Collaborate with Engineering, Product, QA, and AI teams.
• Evaluate new DevOps tools and AI-powered automation capabilities.

Required Skills & Experience

• 8+ years

  in DevOps or Cloud Infrastructure roles.
• Strong expertise in

  GitHub Actions

  and CI/CD pipeline architecture.
• Deep understanding of

  AWS or GCP

  (VPC, IAM, security, autoscaling).
• Production-level experience with

  Docker & Kubernetes (EKS/GKE)

  .
• Proficiency in scripting:

  Python, Bash, or Go

  .
• Strong experience with

  Terraform, Ansible, CloudFormation

  .
• Solid understanding of monitoring tools (Prometheus, Grafana, CloudWatch, ELK).
• Experience supporting

  AI/ML pipelines

  (MLflow, Kubeflow, SageMaker, Vertex AI).
• Knowledge of security best practices & compliance frameworks.
• Excellent communication and documentation skills.

Preferred Qualifications

• Experience with GPU workloads and ML orchestration.
• Knowledge of event-driven or serverless architectures (Lambda, Cloud Run).
• Exposure to GitOps tools (Argo CD, Flux).
• Background in AIOps (Dynatrace Davis, New Relic AI).
• AWS DevOps Engineer Professional or equivalent certification.

Success Indicators

• 90%+ reduction

  in manual deployment tasks within 6 months.
• Fully standardized infrastructure documentation across all environments.
• Reduced downtime and faster incident resolution through observability.
• Improved developer velocity and increased deployment frequency.
• Adoption of AI-assisted automation and predictive monitoring.