Senior DevOps Engineer

Mako IT Lab; Chennai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mako IT Lab is seeking a highly skilled Senior DevOps Engineer in Chennai, India. This role involves designing, implementing, and scaling cloud-native infrastructure while integrating AI-driven automation. Candidates should possess strong expertise in AWS, Kubernetes, and CI/CD practices. Responsibilities include maintaining secure cloud environments and mentoring junior engineers. The position offers opportunities to work on advanced AI tools and ensures high operational efficiency within client-facing projects.

Qualifications

• Strong expertise in AWS Cloud services including EC2, EKS, IAM, and Lambda.
• Deep hands-on experience with Kubernetes is essential.
• Proficient in infrastructure as code using Terraform.

Responsibilities

• Design and maintain scalable cloud infrastructure primarily on AWS.
• Implement containerized environments using Kubernetes.
• Leverage AI tools for proactive monitoring and incident management.

Skills

AWS Cloud

Kubernetes

Terraform (IaC)

CI/CD tools (GitHub Actions / Bitbucket Pipelines)

Linux systems

Monitoring & observability stacks (Prometheus, Grafana, ELK)

SAST/DAST tools

AI-assisted DevOps tools

Job description

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.

AI-Driven DevOps (AIOps)

• 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.

Security & Compliance

• 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.

Collaboration & Architecture

• 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.

Operations & Incident Management

• 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.

Required Skills & Qualifications

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

DevOps & Observability

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

Security

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

AI / Automation (Mandatory Mindset)

• 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

Soft Skills

• 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

Good to Have

• Experience in platform engineering or internal developer platforms
• Exposure to multi‑cloud environments
• Experience building DevOps frameworks for enterprise clients

What We Expect (Mako Context Fit)

• Ability to handle multiple client environments simultaneously
• Capability to drive DevOps maturity across teams
• Comfortable working in high‑pressure, client‑facing scenarios

Required Skills

Quick learner Team player Communication Problem‑Solving