SDE II — Backend & Distributed Systems
Location: Electronic city ,Bangalore, India (on-site)
Role Type: Full-time
About Us
Blurgs AI is a deep-tech company building real-time intelligence systems that fuse live operational data, sensor feeds, geospatial context, and AI to help decision-makers see what others miss. Our platforms power critical maritime, defence, and infrastructure operations where reliability is non-negotiable.
We are building a brand-new product centered on large-scale satellite imagery processing. Our engineering organisation is structured into three parallel teams — application stack, data stack, and AI stack — that work largely independently and integrate only where data or APIs must flow between them.
Position Overview
This is the first application-stack hire for our new satellite imagery product. You will own the application layer end-to-end — starting from a blank slate. You'll define the high-level architecture, make the key technology decisions, build the APIs and web interfaces, and grow into leading a small team as the product scales.
What You'll Do
- Design and build high-performance backend services and distributed systems that power our satellite imagery platform.
- Take end-to-end ownership of the application stack — from high-level and low-level design through development, deployment, and operations.
- Make architectural decisions such as database and framework selection, backed by clear data-driven reasoning.
- Build and operate microservices at scale, optimising for latency, throughput, and cost-efficiency.
- Develop APIs and, in the early phase, front-end interfaces before a dedicated front-end engineer joins.
- Collaborate with AI-stack and data-stack engineers when data or API integration is required.
- Mentor and guide junior engineers, growing into a team lead role as the product expands.
What You'll Bring
Must-Have
- 4+ years of professional backend software engineering experience.
- Strong proficiency in asynchronous Python and FastAPI.
- Deep understanding of distributed systems concepts: consensus, replication, partitioning, CAP theorem, and eventual consistency.
- Hands-on experience building and operating microservices at scale.
- Experience with MongoDB and cloud-native technologies (GCP or AWS, Docker, Kubernetes).
- Solid grasp of data structures, algorithms, and system design.
- Strong ownership mindset and the ability to work independently from day one.
Good-to-Have
- Experience with React for building front-end interfaces.
- Familiarity with Terraform and infrastructure-as-code.
- Experience mentoring or leading small engineering teams.
- Background from a product-focused engineering environment.
Pay: ₹1,500,000.00 - ₹1,800,000.00 per year
Work Location: In person
