Platform Engineer

Experience: 5-8 years

Responsibilities:

1. Strong expertise in platform engineering, including infrastructure, platform and services design, automation, and DevOps.
2. Proven experience with cloud & Big data platforms like Azure & Cloudera.
3. Strong hands-on experience in Azure PaaS services like Event Hub, Azure Functions, ADF, Databricks, Synapse, Cosmos DB, and Azure Storage (ADLS Gen2).
4. Good to have experience in Dataiku, PowerBi & Tableau tools.
5. Expertise in large-scale data platform implementations on both on-prem and cloud platforms.
6. Proficiency in modern development methodologies, tools, and practices (e.g., DevOps, GitOps, Docker & Kubernetes services).
7. Proven experience in CI/CD pipelines, DevOps principles, and infrastructure-as-code (IaaC) tools.
8. Experience in building and maintaining highly available, secure, resilient, and complex data platforms.
9. Deep understanding of Azure networking, cybersecurity, and inter-service security.
10. Define and execute platform engineering strategies aligned with business objectives.
11. Develop and implement frameworks for scalable platform delivery adhering to best practices.
12. Enhance and maintain platform capabilities to support cross-functional teams.
13. Collaborate within agile teams to decompose platform requirements into actionable tasks.
14. Collaborate with architects and technical leadership on roadmap evaluation and adoption of emerging tools/technologies.
15. Lead a team of platform engineers, providing technical guidance and mentorship.
16. Conduct peer reviews and provide constructive feedback to ensure code quality and alignment with platform standards.
17. Take end-to-end ownership of the platform's technical aspects, ensuring quality, scalability, and reliability.
18. Recommend and implement technical improvements, including design, testing, performance optimization, and adoption of new methodologies.
19. Contribute to low-level platform architecture/technical design aligned with high-level solutions and business needs.
20. Conduct cost optimization for Azure resources, ensuring budget alignment without compromising performance.
21. Ensure platform documentation is regularly updated, accessible, and aligned with best practices.
22. Advocate for adherence to SDLC frameworks and engineering principles to deliver robust platform solutions.
23. Identify and introduce tools, frameworks, and processes to optimize platform engineering workflows.
24. Actively participate in the Platform Engineering Chapter to drive modernization and maturity in platform capabilities.
25. Drive technical excellence by promoting continuous learning and development.