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Tier-1 bank and sought SRE/AI-platform skills create moderate competition.
Strong SRE, cloud, and platform requirements limit cross-industry transferability.
Explicit 8+ years requirement plus specific SRE, Python, cloud, and security skills.
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Lead development of automation tools to improve scalability and resiliency of AI/ML and Data Platforms using technologies like Databricks, Snowflake, AWS, Kubernetes.
Perform platform design, configuration, and engineering support to data engineering, ML, and application teams, focusing on operational excellence and automation.
Mentor and guide team members to drive strategic change and adoption of AI-assisted engineering practices to improve code quality and delivery speed.
8+ years of applied software engineering experience with formal training or certification.
Proficiency in Python, PySpark, and/or Java application development including automated unit testing.
Strong understanding of agile methodologies (CI/CD), application resiliency, security, SLI/SLO/SLA/Error Budgets, and operational stability concepts.
Experience with system design, automation to reduce toil, and knowledge of risk controls and compliance standards.
Experienced in building and supporting AI/ML troubleshooting solutions and incident resolution automation within large-scale data platforms.
Skilled in platform engineering support with knowledge of cloud platforms (AWS), Databricks, containerization (Docker, Kubernetes), and distributed systems.
Able to lead and mentor teams, champion AI-assisted software development tools, and implement responsible AI use practices in engineering workflows.