Software Engineer II
Job Description
Deep Sync is the industry leader in deterministic identity and AI-powered data solutions. Leveraging our 35-year foundation of compiling direct mail-grade datasets, Deep Sync develops data-first technologies that power marketing, measurement, AI, and business intelligence for agencies and brands with our fully deterministic identity graph, privacy-first audiences, comprehensive data solutions, and integrations with leading platforms and cloud providers.
Position Overview: Software Engineer II joining our India engineering team to help design and build large-scale data pipelines and the platforms and services built on top of them. You'll own features end-to-end—from design through production support—on systems that process hundreds of millions to billions of records against fixed delivery schedules. The work spans new services and long-lived systems, combining cloud-native infrastructure with third-party and on-premises integrations.
Requirements
- Design, develop, test, and deploy features across our data pipelines and platform services, owning them through to production.
- Implement distributed data processing jobs, along with the orchestration and configuration that drive them.
- Build services and APIs that expose pipeline data and platform capabilities to internal teams and clients.
- Integrate external systems—including data vendors, client delivery endpoints, cloud warehouses, and third-party software—and make those integrations observable and recoverable when they fail.
- Add instrumentation, alerting, and automated tests so problems surface before reaching a client.
- Contribute to infrastructure-as-code and CI/CD pipelines.
- Participate in code reviews, incident response, and knowledge sharing across the team.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- 2+ years of professional software engineering experience building and supporting production software.
- Strong programming ability in at least one modern language, with the judgment and adaptability to pick up others.
- Solid SQL skills, with experience across relational databases and/or cloud data warehouses.
- Experience with distributed data processing at scale (e.g., Spark) or comparable large-scale data systems.
- Hands-on experience with a major cloud platform (ideally AWS)—specifically object storage, IAM, and at least one compute service.
- Sound production habits: automated testing, version control, code review, and debugging from logs and metrics rather than guesswork.
- Bonus: Experience with EMR, infrastructure-as-code (such as Terraform), CI/CD tooling, or handling PII under contractual or regulatory constraints.
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