Senior DevOps Engineer

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