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About the role
Job description Key Responsibilities: SRE Capability Practice: Standardize and monitor SRE practices to ensure effective implementation across teams. Collaboration: Work closely with development squads to ensure alignment on application architecture (e.g., microservices, API gateways) and operational excellence. Reliability Systems Architecture: Utilize expertise in cloud distributed computing to enhance system reliability and resilience. Software Engineering: Design and implement solutions that improve system performance and reliability. Continuous Improvement: Oversee processes related to DevOps practices, ensuring quality assurance throughout the software development lifecycle. Education: Bachelors degree/University degree or equivalent experience Required Qualifications Good Knowledge in programming languages like Scala or Python or Pyspark or Scala or SQL/PLSQL Knowledge of batch/real time Spark processing pipelines. Good Knowledge of Spark framework Core Spark, Spark Data Frames, Spark streaming Person should have knowledge in Agile/DevOps Environment Proficiency in cloud computing platforms (e.g., AWS) and understanding of reliability systems architecture. Strong software engineering skills with experience in designing reliability-focused solutions. Excellent communication skills for effective collaboration with various teams. Skills and Competencies Strong leadership abilities to motivate and engage team members. Technical expertise in automation tools and CI/CD processes. Ability to analyze metrics for performance tuning and fault finding. Experience with incident management and disaster recovery planning
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