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We are seeking an experienced and highly skilled Senior DevOps Engineering Lead with 7-10 years of progressive experience to drive our data platform infrastructure automation, CI/CD excellence, and operational efficiency. This role is pivotal in managing and scaling our resilient and performant systems, with a strong focus on empowering microservices architecture. The ideal candidate will possess deep technical expertise in a wide range of DevOps tools and practices, coupled with strong leadership and problem-solving abilities.
Job Responsibility:
CI/CD Pipeline Ownership: Design, implement, and maintain robust, scalable, and secure CI/CD pipeline architecture for microservices applications, ensuring continuous integration, delivery, and deployment
Infrastructure Planning & Management: Lead the design, provisioning, optimization and management of scalable data infrastructure (compute, storage, networking) across cloud , ECS and/or on-premise environments, specifically supporting a data mesh paradigm
Elastic Stack Expertise: Manage and optimize Elastic Stack (Elasticsearch, Kibana, Logstash, Beats) for centralized logging, monitoring, and analytics
Automation & Scripting: Design, Develop and maintain automation scripts and tools using Shell scripts, Python, Java, or other relevant languages to streamline operational tasks and improve efficiency
Infrastructure Procurement & Lifecycle: Oversee the end-to-end Solution (SLTN) process for infrastructure procurement, ensuring timely and compliant acquisition of resources
Capacity Estimation & Planning: Conduct thorough capacity planning and performance analysis for microservices and underlying infrastructure to ensure scalability and reliability
Access Management & Security: Design and implement secure machine-to-machine communication strategies and manage infrastructure access, adhering to security best practices
Microservices Operations: Provide operational expertise and support for highly distributed microservices architectures, including troubleshooting, performance tuning, and incident response
Governance & Observability: Implement and enforce data governance policies through automation, and establish comprehensive observability (monitoring, logging, alerting) for data pipelines and infrastructure
Mentorship & Best Practices: Mentor junior DevOps engineers, promote DevOps best practices (e.g., IaC, GitOps, observability), and foster a culture of continuous improvement
Cross-Functional Collaboration: Work closely with partner development, QA, and infra security teams to ensure seamless integration and deployment processes
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
7-10 years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or a similar role
Proven expertise in designing and implementing DevOps leadership
In-depth experience with container orchestration platforms like AWS, Openshift ECS (or Kubernetes)
Strong practical experience with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats) for transaction, logging and monitoring
Proficiency in scripting languages (Schell scripting, Python is a must), and strong Java development skills, particularly for tooling and automation
Demonstrated knowledge of microservices architecture principles and operational challenges
Familiarity with machine-to-machine authentication and authorization mechanisms
Must have knowledge of automation principles and practices
Experience with job scheduling tools like Autosys
Familiarity with Helix Blueprint or similar automation frameworks
Excellent problem-solving, communication, and collaboration skills
Modern Engineering Practices: Familiarity in modern engineering practices such as Trunk-Based Development, Test-Driven Development (TDD), Behavior-Driven Development (BDD), Contract Testing, and Agile methodologies