About Seller Snap

Seller Snap is a leading B2B SaaS platform helping Amazon sellers grow through intelligent pricing and advanced analytics. Our tools power high-volume decisions for thousands of eCommerce businesses. As we scale, we're hiring a Software Engineer to lead all user-facing features — with a core focus on developing DataHub, our analytics engine, into a revenue-generating product.

Role Summary

We are looking for a highly skilled and driven Software Engineer to join our team. This role is central to building and scaling complex, data-centric systems that support intelligent decision-making in the ecommerce space.

Responsibilities

• Lead the design and development of core user-facing features
• Build scalable, high-performance data systems
• Collaborate across engineering, product, and data teams
• Translate business needs into reliable, maintainable technical solutions

Minimum Requirements

• BSc in Computer Science, Software Engineering, or related technical field
• 5+ years of hands-on software development experience
• Strong experience in:
• Backend or full-stack development (e.g., Python, Java, Go, Scala)
• Large-scale data systems and complex architectures
• High-scale, high-availability application design

Technical Skills

• Data Infrastructure: Apache Spark, Databricks, Flink; NoSQL/NewSQL databases (MongoDB, BigQuery, Cassandra, etc.)
• DevOps & Cloud: Docker, Kubernetes, Terraform, AWS/GCP/Azure, monitoring tools (e.g., Datadog, Prometheus)
• Engineering Practices: TDD, CI/CD, GitOps, Infrastructure as Code, microservices, event-driven architecture

Soft Skills

• Self-starter with strong ownership and accountability
• Business mindset with the ability to align tech with company goals
• Curious, data-driven, and passionate about solving hard problems

Nice-to-Have

• Experience with machine learning pipelines or data science toolchains
• Background in e-commerce, SaaS, or AdTech
• Working with 3rd-party data providers and external APIs

Apply now

If you're passionate about building smart, scalable systems and making data truly actionable — we'd love to hear from you!