This role is for one of our client companies — a VC-backed startup that has raised $7M USD in funding.
Salary: ₹60 LPA – ₹80 LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
🚀 What We’re Building
CodeRound AI matches the top 5% of tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.
Top-tier product startups across the US, UK, EU, UAE, and India have hired engineers through CodeRound.
We’re looking for a Principal Software Engineer to join our team and help build scalable, production-grade systems from the ground up. This is a high-ownership role where you’ll work across APIs, infrastructure, and AI/ML pipelines while directly influencing product decisions.
What You’ll Work On
Our tech stack (and evolving as we scale):
- Typescript for APIs
- Python for AI/ML workflows
- Kafka, Spark, and data warehouses for ML pipelines
- AWS, GCP, and Terraform for infrastructure
What You’ll Do
- Build clean, scalable APIs for customer integrations along with clear documentation
- Design, deploy, and scale cloud infrastructure
- Ensure end-to-end security (encryption, hashing, VPCs, privacy best practices)
- Own infrastructure as code using Terraform and enable multi-region replication
- Manage production systems including deployments, logging, and monitoring
- Establish and participate in on-call processes
- Mentor and support junior engineers
- Collaborate closely with product and customers to shape features
What We’re Looking For
- Strong experience with Typescript and/or Python
- Proven experience building systems from 0 → 1 or 1 → 10
- Deep understanding of APIs, backend architecture, and secure systems
- Experience with cloud platforms (AWS/GCP) and infrastructure as code
- Hands-on experience with distributed systems, data pipelines, or ML workflows is a plus
- Familiarity with Generative AI / LLMs (hallucination handling, token optimization, etc.)
- Experience working in early-stage startups with high ownership
We care more about what you’ve built than where you’ve worked. Side projects, open-source contributions, and real-world problem-solving matter most.