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:
- 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
Required Skills
Quick learner Team player Communication Problem-Solving
