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Generic SDE title, mid-level 3+ years, metro Hyderabad, and known tech brand drive high competition.
Data engineering and ML-infrastructure skills are broadly transferable across industries.
Explicit 3+ years plus mandatory BigQuery, Airflow, SQL, Python, and production reliability skills.
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Design, build, and maintain ML and data workflows using BigQuery, GCS, and related cloud services to support internal products and downstream consumers.
Develop backend services, pipeline components, and shared libraries as part of the agentic platform, ensuring operational reliability and observability (monitoring, alerting, retries).
Collaborate with cross-functional teams to implement product requirements into robust technical solutions and participate in incident response and on-call rotations for production systems.
3+ years of professional software engineering experience building backend systems, data pipelines, or ML infrastructure in production.
Proficiency in at least one backend programming language such as Python.
Experience with SQL, data processing systems, Airflow or similar orchestration frameworks, and cloud-native data tooling like BigQuery and GCS.
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Experienced in building and operating large-scale data and ML workflows with strong focus on reliability, observability, and operational diagnostics.
Skilled in debugging and improving production systems based on operational signals and recurring failure patterns.
Comfortable working with global teams across multiple time zones and taking clear ownership of common services and escalation paths in infrastructure dependencies.