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Software Engineer Intern – Houseware

Software Engineer Intern, Backend & Infra

www.Houseware.com

About the internship

  1. Develop and maintain our multi-tenant data platform, ensuring high scalability and performance.

  2. Construct scalable backend APIs in Go, capable of handling high-volume traffic.

  3. Set benchmarks for data patterns, contracts, and communication, and mentor the engineering team in these areas.

  4. Setup and maintenance of cloud infrastructure for backend systems & data warehouses, keeping reliability and security front and center

  5. Collaborate closely with the engineering team to enhance our product analytics solution.

  6. Work cross-functionally with other teams to align engineering efforts with business objectives.

Skill(s) required

  1. Solid problem-solving skills, with a record of overcoming complex technical challenges.

  2. A strong understanding of data visualization and data-driven decision making.

  3. Experience with Go. Familiarity with Scala is a bonus.

  4. An affinity for data, with a strong interest in product analytics solutions.

  5. Excellent communication skills, both written and verbal.

Who can apply

Only those candidates can apply who:

1. Are available for full time (in-office) internship

2. Are available for duration of 5 months

4. Are from or open to relocate to Bangalore

5. Have relevant skills and interests

Additional information

  1. Experience building product analytics solutions or working with clickstream analytics.

  2. You’re a forward thinker who can execute tasks quickly and efficiently.

  3. Familiarity with cloud data warehouse technology and applications.

About Company

The data landscape is evolving, and at Houseware, they leading the charge. In the modern business world, data warehouses have become the center of data gravity. Recognizing this shift, Houseware is redefining product analytics by building solutions natively on the warehouse. They eliminate the need for external SaaS vendors and enable businesses to harness the full power of their own data.

The team comprises seasoned engineers with a track record of building SaaS products for early-stage startups. They thrive on tackling 0->1 problems, have a strong product-thinking approach, and carry a bias towards action.