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

Mako IT Lab

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