Senior Software Engineer, ITC

Overview

Senior individual contributor on the enterprise team that curates, governs, and serves Nike Direct and Marketplace data products to BI Experience teams and other GT domains. Reports to the Senior Engineering Manager and works alongside Leads and Principal engineers.

What you'll do

• Lead the design and delivery of significant backend and data services serving Marketplace and Nike Direct data to BI Experience teams and enterprise consumers.
• Drive technical design reviews within your squad, choosing patterns, defining contracts, and trading off scope, complexity, and timeline with product partners.
• Raise the engineering bar through high-leverage code reviews, pairing, and authoring patterns and blueprints that other squads adopt.
• Own production reliability and operational quality of the services you build, leading on-call, capacity planning, and post-incident learning.
• Mentor SWE I and SWE II engineers on the squad and contribute to their career and skills growth.
• Partner with the Platform team to adopt recommended toolkits and contribute back improvements when patterns fall short.
• Collaborate with globally distributed engineering teams and represent your squad in cross-org technical forums.

What you'll need

• A minimum of 5–8 years of backend and/or data engineering experience.
• Strong expertise in at least one of Java, Python, or Scala.
• Confident fluency in SQL and data modeling.
• Proven experience designing and shipping production microservices, RESTful APIs, and event-driven systems.
• Hands-on experience with modern data platforms such as Databricks, Spark, Delta Lake, Unity Catalog (or equivalent), and orchestration tools such as Airflow.
• Solid cloud experience (AWS, GCP, or Azure) including IAM, secrets, networking, and cost-aware design.
• Experience leading non-trivial technical designs, writing design documents, and driving them through peer review.
• Demonstrated ability to mentor junior engineers through code reviews, pairing, and design coaching.
• Experience with distributed messaging (Kafka, SQS), caching (Redis), and search (Elasticsearch/OpenSearch) where relevant.
• Strong test-driven development discipline, including productive use of AI tools such as GitHub Copilot.
• Experience with CI/CD, observability (metrics, tracing, alerting), and incident response.
• Excellent written and verbal communication, able to influence engineers and senior product and business partners.
• Bachelor's or Master's degree in Computer Science, Information Systems, or related field, or equivalent experience.

Nice to have

• Experience with data governance, RLS/ABAC, ontology/semantic layers, dbt, agentic/LLM-powered analytics layers, or large-scale BI platforms.

Details

• Location: Karnataka, India.