Software Development Engineer

Responsibilities

• Design, build, and maintain ML and data workflows that use BigQuery, GCS, and related cloud services to support internal products and downstream consumers.
• Develop backend services, pipeline components, and shared libraries used by our agentic platform.
• Build and strengthen observability for production workflows, including monitoring, alerting, retry behavior, timeout handling, and operational diagnostics.
• Work closely with engineers and cross functional partners to turn product requirements into robust technical solutions.
• Participate in team operations, incident response, and on-call or support rotations as needed for shared production systems.

Your Team will:

• Own and evolve the ML and data workflows behind our Identity resolution product, including pipeline reliability, data quality, deployment confidence, and operational visibility.
• Support shared agentic platform capabilities used by multiple teams, with clear ownership of common services and escalation paths for infrastructure dependencies.
• Partner globally across time zones with teams in engineering, infrastructure, and product to deliver high-impact systems from India.

About you:

• You have 3+ years professional software engineering experience building backend systems, data pipelines, or ML infrastructure in production environments.
• You are strong in at least one programming language commonly used for backend or data systems such as Python.
• You have experience working with SQL and data processing systems, and you are comfortable developing against warehouse-scale datasets.
• You have experience with Airflow or similar orchestration framework.
• You have hands-on experience with cloud-native data tooling, especially BigQuery, GCS, or similar managed storage and compute services.
• You understand how to build reliable systems with monitoring, alerting, retries, timeouts, validation checks, and safe failure handling.
• You can debug production issues methodically and improve systems based on operational signals and recurring failure modes.
• You communicate clearly, collaborate well across teams, and take ownership of outcomes.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred Skills:

• Experience with CI/CD, deployment gates, and regression test automation for data or ML systems.
• Familiarity with ML platform patterns, feature or model-adjacent workflows, and internal platform libraries.
• Experience operating systems that span multiple external dependencies and shared infrastructure layers.
• Exposure to agentic platform or AI-adjacent infrastructure is a plus.