Back End Developer

CONSTELLI; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

CONSTELLI in Hyderabad, India, is seeking a Python Backend Engineer to own high-throughput backend services. You will collaborate with frontend and C# teams to ingest, process, and route real-time data streams across platforms.

This role emphasizes asynchronous Python, complex data-flow problems, and building production systems that remain reliable under sustained load. You will design REST and WebSocket services, implement pub/sub, and optimize relational and time-series databases.

Qualifications

• 4+ years of professional backend software engineering experience, primarily in Python.
• Strong working knowledge of asyncio and concurrent programming patterns for high-throughput I/O.
• Production experience with FastAPI (or comparable async frameworks) and pydantic-based schema validation.
• Hands-on experience with at least one event streaming or message broker platform - Kafka, RabbitMQ, or NATS.
• Proficient with PostgreSQL and capable of writing optimized SQL; comfortable with schema design, indexing, and query profiling.
• Working familiarity with time-series databases (TimescaleDB, InfluxDB, QuestDB).
• Solid grasp of TCP/UDP, WebSockets, and HTTP/REST; able to debug at protocol level.
• Linux, Git-based workflows.
• Testing with pytest, unit and integration testing; CI pipelines.

Responsibilities

• Data Ingestion & Processing: Design backend services that handle continuous, high-frequency data streams and telemetry from multiple sources, including raw and binary protocols over TCP/UDP.
• API & Service Development: Build robust, scalable REST and WebSocket services using FastAPI, with proper schema validation, error handling, and observability built in from the start.
• Event-Driven Architecture: Implement and operate pub/sub messaging systems to enable reliable data distribution across microservices.
• Database Design & Optimization: Model and query relational and time-series stores efficiently - raw events, derived state, and aggregated roll-ups - with attention to write throughput and query latency.
• System Integration: Collaborate with hardware/embedded, front-end, and C# teams to define clean contracts and ensure reliable data flow across system boundaries.
• Engineering Discipline: Write tested, reviewed, and documented code; participate in design discussions; contribute to deployment, monitoring, and operational practices.

Skills

Python

Asyncio

FastAPI

PostgreSQL

TimescaleDB

Kafka

REST API

WebSocket

Linux

Git

pytest

Education

BE/B.Tech in Computer Science/IT/ECE

Tools

Kafka

TimescaleDB

Docker

CI/CD

Job description

We are a dynamic team of young engineers, domain experts, and seasoned sales professionals dedicated to providing comprehensive turnkey solutions for complex challenges in Signal Processing. Our expertise spans the cutting-edge technologies in Signal Processing, addressing critical needs in the Defence and Aerospace sectors. Our offerings encompass a wide range of solutions, from tactical radios and radar systems to extensive research and mission-critical applications.

About the role

We are hiring a Python Backend Engineer to take ownership of high-throughput backend services. You will work alongside our front-end and C# application teams to build the infrastructure that ingests, processes, and routes real-time data streams across our platforms.

This role is for someone who enjoys asynchronous Python, complex data-flow problems, and the discipline of building production systems that need to run reliably under sustained load.

Responsibilities

• Data Ingestion & Processing: Design backend services that handle continuous, high-frequency data streams and telemetry from multiple sources, including raw and binary protocols over TCP/UDP.
• API & Service Development: Build robust, scalable REST and WebSocket services using FastAPI, with proper schema validation, error handling, and observability built in from the start.
• Event-Driven Architecture: Implement and operate pub/sub messaging systems to enable reliable data distribution across microservices.
• Database Design & Optimization: Model and query relational and time-series stores efficiently - raw events, derived state, and aggregated roll-ups - with attention to write throughput and query latency.
• System Integration: Collaborate with hardware/embedded, front-end, and C# teams to define clean contracts and ensure reliable data flow across system boundaries.
• Engineering Discipline: Write tested, reviewed, and documented code; participate in design discussions; contribute to deployment, monitoring, and operational practices.

Qualifications

• Experience: 4+ years of professional backend software engineering experience, primarily in Python.
• Asynchronous Python: Strong working knowledge of asyncio and concurrent programming patterns for high-throughput I/O.
• API Frameworks: Production experience with FastAPI (or comparable async frameworks such as Starlette, aiohttp, or Sanic) and pydantic-based schema validation.
• Message Brokers: Hands-on experience with at least one event streaming or message broker platform - Apache Kafka, RabbitMQ, NATS, or equivalent.
• Databases: Proficient with PostgreSQL and capable of writing optimized SQL; comfortable with schema design, indexing, and query profiling.
• Time-Series Data: Working familiarity with time-series databases (e.g., TimescaleDB, InfluxDB, QuestDB) and the trade-offs of heavy-write workloads.
• Networking: Solid grasp of TCP/UDP, WebSockets, and HTTP/REST; able to debug at the protocol level when needed.
• Platform & Tooling: Comfortable on Linux, Git-based workflows.
• Testing & Quality: Demonstrated practice with pytest, unit and integration testing, and CI pipelines.

Good to have

• Binary Protocols & Telemetry: Experience parsing custom binary frames, working with raw telemetry, or interfacing with hardware or IoT data sources.
• Geospatial Data: Familiarity with PostGIS, GeoJSON/KML, or coordinate-system handling.
• Systems Interoperability: Experience interfacing Python with C/C++ libraries via ctypes, cffi, pybind11, or shared library bindings.
• On-Premises Deployment: Comfortable building and operating systems in air-gapped or LAN-only environments, not exclusively cloud-managed.
• Education: B.E./B.Tech in Computer Science, IT, ECE, or a related discipline.
• Culture of Excellence: We are committed to fostering a culture where every individual can thrive, grow, and make a difference.
• Opportunities for Growth: We believe in investing in our people and providing opportunities for professional development and advancement.
• Collaborative Culture: Join a collaborative and supportive work environment where your contributions are valued and recognized.
• Innovative Environment: Be part of a team that thrives on innovation and is committed to pushing the boundaries of RF technology.