Sr DevOps Engineer

Mako IT Lab; Chennai; Presencial; INR 3.500.000 - 6.000.000; Jornada completa

Descripción de la vacante

Mako IT Lab Pvt Ltd. in Chennai, India, is seeking a highly skilled Senior DevOps Engineer to design, implement, and scale cloud-native infrastructure with AI-driven automation integrated into deployment and monitoring workflows.

You will lead AWS-based infrastructure, Kubernetes operations (EKS), IaC with Terraform, and CI/CD pipelines, while improving reliability, observability, security, and developer productivity through AI insights.

Formación

• Deep hands-on experience with Kubernetes (must-have).
• Terraform IaC expertise (must-have).
• Strong experience in AWS cloud (must-have).
• CI/CD pipeline design and implementation experience.

Responsabilidades

• Design, build, and maintain scalable, secure, and highly available cloud infrastructure (AWS).
• Implement and manage containerized environments using Kubernetes (EKS preferred).
• Develop and maintain Infrastructure as Code using 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 and integrate LLM-based assistants to automate workflows.

Conocimientos

Kubernetes

Terraform

AWS

CI/CD pipelines

GitHub Actions

Python scripting

Linux networking

Observability

AI / AIOps mindset

Security & compliance

Herramientas

Kubernetes

Terraform

GitHub Actions

Bitbucket Pipelines

ELK

Prometheus

Grafana

CloudWatch

Descripción del empleo

Job Description:

Role Overview

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
• Programming/scripting experience in Python / Shell / JavaScript

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

• AWS / Kubernetes / Terraform certifications
• 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
• Strong ownership mindset for delivery + stability
• Capability to drive DevOps maturity across teams
• Comfortable working in high‑pressure, client‑facing scenarios

Skills:- AWS Lambda, Kubernetes, Terraform and Docker