Senior Devops Engineer

We are looking for a skilled and motivated DevOps Engineer to join our growing team. The ideal candidate will have expertise in AWS, CI/CD pipelines, and Terraform, with a passion for building and optimizing scalable, reliable, and secure infrastructure. This role involves close collaboration with development, QA, and operations teams to streamline deployment processes and enhance system performance.

Roles & Responsibilities:

Leadership & Strategy
• Lead and mentor a team of DevOps engineers, fostering a culture of automation, innovation, and continuous improvement.
• Define and implement DevOps strategies aligned with business objectives to enhance scalability, security, and reliability.
• Collaborate with cross-functional teams, including software engineering, security, MLOps, and infrastructure teams, to drive DevOps best practices.
• Establish KPIs and performance metrics for DevOps operations, ensuring optimal system performance, cost efficiency, and high availability.
• Advocate for CPU throttling, auto-scaling, and workload optimization strategies to improve system efficiency and reduce costs.
• Drive MLOps adoption, integrating machine learning workflows into CI/CD pipelines and cloud infrastructure.
• Ensure compliance with ISO 27001 standards, implementing security controls and risk management measures.

Infrastructure & Automation
• Oversee the design, implementation, and management of scalable, secure, and resilient infrastructure on AWS.
• Lead the adoption of Infrastructure as Code (IaC) using Terraform, CloudFormation, and configuration management tools like Ansible or Chef.
• Spearhead automation efforts for infrastructure provisioning, deployment, and monitoring to reduce manual overhead and improve efficiency.
• Ensure high availability and disaster recovery strategies, leveraging multi-region architectures and failover mechanisms.
• Manage Kubernetes (or AWS ECS/EKS) clusters, optimizing container orchestration for large-scale applications.
• Drive cost optimization initiatives, implementing intelligent cloud resource allocation strategies.

CI/CD & Observability
• Architect and oversee CI/CD pipelines, ensuring seamless automation of application builds, testing, and deployments.
• Enhance observability and monitoring by implementing tools like CloudWatch, Prometheus, Grafana, ELK Stack, or Datadog.
• Develop robust logging, alerting, and anomaly detection mechanisms to ensure proactive issue resolution.

Security & Compliance (ISO 27001 Implementation)
• Lead the implementation and enforcement of ISO 27001 security standards, ensuring compliance with information security policies and regulatory requirements.
• Develop and maintain an Information Security Management System (ISMS) to align with ISO 27001 guidelines.
• Implement secure access controls, encryption, IAM policies, and network security measures to safeguard infrastructure.
• Conduct risk assessments, vulnerability management, and security audits to identify and mitigate threats.
• Ensure security best practices are embedded into all DevOps workflows, following DevSecOps principles.
• Work closely with auditors and compliance teams to maintain SOC2, GDPR, and other regulatory frameworks.

Required Skills and Qualifications:
• 5+ years of experience in DevOps, cloud infrastructure, and automation, with at least 3+ years in a managerial or leadership role.
• Proven experience managing AWS cloud infrastructure at scale, including EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation.
• Expertise in Terraform and Infrastructure as Code (IaC) principles.
• Strong background in CI/CD pipeline automation with tools like Jenkins, GitHub Actions, GitLab CI, or CircleCI.
• Hands-on experience with Docker and Kubernetes (or AWS ECS/EKS) for container orchestration.
• Experience in CPU throttling, auto-scaling, and performance optimization for cloud-based applications.
• Strong knowledge of Linux/Unix systems, shell scripting, and network configurations.
• Proven experience with ISO 27001 implementation, ISMS development, and security risk management.
• Familiarity with MLOps frameworks like Kubeflow, MLflow, or SageMaker, and integrating ML pipelines into DevOps workflows.
• Deep understanding of observability tools such as ELK Stack, Grafana, Prometheus, or Datadog.
• Strong stakeholder management, communication, and ability to collaborate across teams.
• Experience in regulatory compliance, including SOC2, ISO 27001, and GDPR.