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Strong employer brand, metro Bangalore, popular SDE title, and junior-mid level increase applicant density.
Requires ML systems and MLOps experience, moderately transferable across industries with similar data and cloud platforms.
Explicit 2+ years requirement plus mandatory cloud, Kubernetes, Python, and MLOps skills increases filtering.
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Develop, enhance, and support backend software components and data pipelines for ML-based Meta/SEM bidding programs from design to production.
Collaborate with ML engineers to build and maintain scalable model training, evaluation, and serving infrastructure including batch and streaming workflows.
Own system reliability and observability through instrumentation, monitoring, incident response, and participation in code reviews and on-call duties.
Minimum 2 years of professional experience building production software, preferably with data-intensive or backend services in cloud or hybrid environments.
Bachelor's degree in Computer Science or related technical field, or equivalent professional experience.
Strong proficiency in Python and experience with API and service development (e.g., FastAPI, REST).
Experience with AWS cloud services, Kubernetes orchestration, and familiarity with big data frameworks (Spark, PySpark) and databases (Hive, Iceberg, Postgres).
Experienced in building robust distributed systems and data pipelines at scale with a focus on backend and data engineering.
Comfortable applying MLOps practices and growing knowledge in ML pipeline deployment and monitoring without requiring deep ML expertise.
Proficient in using AI-assisted development tools and willing to leverage generative AI to improve software development lifecycle efficiency.