Sporting Fashion & Goods
Senior Software Engineer, ITC
Mid Level
Karnataka, India
in office
Full time
Digital, Product & TechEngineering & DevelopmentData & CRM SystemsIT & Infrastructure
Job description
About the Role
This Software Engineer III role is in Marketplace Data Engineering, reporting to the Senior Engineering Manager of the enterprise team that curates, governs, and serves Nike Direct and Marketplace data products to BI Experience teams and other GT domains. The role is a senior individual contributor on the squad, working alongside leads and principal engineers to deliver complex backend and data systems. The engineer owns meaningful slices of the team's data products, APIs, and pipelines, and influences how the broader team builds.
Key Responsibilities
- Lead the design and delivery of significant backend and data services that serve Marketplace and Nike Direct data to BI Experience teams and enterprise consumers.
- Drive technical design reviews within the 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 built, including on-call, capacity planning, and post-incident learning.
- Mentor SWE I and SWE II engineers on the squad and contribute to their growth through career and skills coaching.
- Partner with the Platform team to adopt recommended toolkits and contribute improvements when patterns fall short of needs.
- Collaborate with globally distributed engineering teams and represent the squad in cross-org technical forums.
Required Experience & Qualifications
- Ability to own outcomes end-to-end, decompose ambiguous problems, drive high-quality designs, and ship complex systems with minimal oversight.
- A minimum of 5–8 years of backend and/or data engineering experience.
- Strong expertise in at least one of Java, Python, or Scala, and 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 — 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 review with peers.
- Demonstrated ability to mentor junior engineers — 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 like GitHub Copilot.
- Experience with CI/CD, observability (metrics/tracing/alerting), and incident response.
- Excellent written and verbal communication; able to influence both engineers and senior product/business partners.
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field — or equivalent experience.
Preferred Skills
- Experience with data governance, RLS/ABAC, ontology/semantic layers, dbt, agentic/LLM-powered analytics layers, or large-scale BI platforms.
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