Senior DevOps Engineer

We are looking for a highly skilled Senior DevOps Engineer who can design, implement, and scale modern cloud-native infrastructure while integrating AI-driven automation (AIOps) into development, deployment, and monitoring workflows.

This role requires deep expertise in cloud platforms, Kubernetes, CI/CD, and infrastructure as code, along with the ability to leverage AI tools to improve operational efficiency, incident management, and developer productivity.

Key Responsibilities

DevOps & Infrastructure

• Design, build, and maintain scalable, secure, and highly available cloud infrastructure (primarily AWS).
• Implement and manage containerized environments using Kubernetes (EKS preferred).
• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform.
• Build and optimize CI/CD pipelines using GitHub Actions / Bitbucket Pipelines.
• Ensure high system reliability, uptime, and performance across environments.

• Implement AI-powered monitoring and alerting for proactive issue detection and resolution.
• Leverage AI tools for:
• Log analysis and anomaly detection
• Predictive incident management
• Root cause analysis (RCA) acceleration
• Integrate LLM-based assistants (internal or external) to:
• Automate troubleshooting workflows
• Generate deployment scripts / configs
• Improve developer productivity
• Explore and implement self-healing systems using automation + AI insights.
  

• Ensure infrastructure security and compliance with best practices.
• Implement SAST/DAST and vulnerability scanning tools.
• Work with SBOM and CVE tools (e.g., syft, grype).
• Manage IAM policies, secrets, and secure configurations across environments.

• Work closely with developers, architects, and product teams to ensure smooth delivery.
• Participate in architecture design and technical decision-making.
• Define and enforce DevOps best practices, standards, and processes.
• Mentor junior engineers and improve team capabilities.

• Perform root cause analysis (RCA) for production issues.
• Improve observability using tools like Prometheus, Grafana, ELK.
• Ensure fast incident response and resolution using automation and AI insights.

Core Technical Skills

• Strong expertise in AWS Cloud:
• EC2, ECS, EKS, IAM, CloudWatch, CloudTrail
• EventBridge, SQS, SNS, SES, S3, Lambda, API Gateway, WAF
• Deep hands-on experience with Kubernetes (must-have)
• Strong experience in Terraform (IaC) (must-have)
• Experience with CI/CD tools (GitHub Actions / Bitbucket Pipelines)
• Strong knowledge of Linux systems and networking fundamentals
• Programming/scripting experience in Python / Shell / JavaScript
  

• Experience with monitoring & observability stacks:
• Prometheus, Grafana, ELK
• Experience in serverless architectures
• Knowledge of high-availability and scalable system design
  

• Experience with:
• SAST / DAST tools
• Vulnerability management
• SBOM tools (syft, grype)
  

• Experience or strong exposure to:
• AI-assisted DevOps tools (e.g., Copilot, ChatGPT-based workflows)
• Log intelligence and anomaly detection systems
• Ability to identify and implement automation opportunities using AI
• Understanding of AI/ML fundamentals in operations (AIOps) is a strong plus
  

• Strong problem-solving and analytical thinking
• Excellent communication and stakeholder management
• Process-oriented with strong documentation practices
• Ability to work in a fast-paced, multi-project environment

• AWS / Kubernetes / Terraform certifications
• Experience in platform engineering or internal developer platforms
• Exposure to multi-cloud environments
• Experience building DevOps frameworks for enterprise clients

• Ability to handle multiple client environments simultaneously
• Strong ownership mindset for delivery + stability
• Capability to drive DevOps maturity across teams
• Comfortable working in high-pressure, client-facing scenarios

Quick learner Team player Communication Problem-Solving