Backend Engineer
Posted on February 23, 2026
Job Description
About the Role:
Duration: Permanent
Location: Hitech City, Hyderabad
Timings: Full Time (As per company timings)
Notice Period: (Immediate Joiner - Only)
Experience: 5-7 Years
What You’ll Do
Design and own Python/FastAPI microservices (async I/O, WebSockets) for real-time voice/data workflows.
Model and operate MongoDB/Atlas: schema design, indexing, aggregation pipelines, query tuning, TTL/archival, change streams.
Integrate third-party APIs/services (auth, webhooks, retries, idempotency, observability) and productionize them.
Contribute to LLM features: tool/function calling, structured outputs (Pydantic/JSON Schema), RAG, evaluations, safety/guardrails.
Create and maintain deployment pipelines; add metrics, logs, and traces; drive incident response and postmortems.
Collaborate with frontend, AI, and QA; write documents and runbooks; communicate clearly; and work as a supportive team member.
Must-Haves
5+ years of backend experience with Python (strong) and FastAPI (or similar async frameworks).
MongoDB proficiency: schema design, indexes, aggregation, profiling, performance tuning; operational know-how on Atlas.
CI/CD (GitHub Actions/GitLab CI or similar) and Docker.
Strong debugging across distributed systems; excellent communication and teamwork.
Proven third-party integration experience (auth, rate limits, pagination, webhooks).
LLM / AI Experience (Preferred/Plus)
Server-side integration with providers (e.g., OpenAI/Azure OpenAI/Bedrock) and streaming responses.
RAG pipelines (chunking, embeddings, vector stores), prompt versioning, structured outputs.
Evaluation & safety basics (offline eval sets, regression tests, guardrails/PHI redaction, latency & cost tracking).
Nice-to-Haves
Node.js/TypeScript for tools/edge services.
PostgreSQL/Redis; event/messaging (Kafka/Kinesis/RabbitMQ).
Real-time comms (SIP/WebRTC), audio streaming, STT/TTS.
Security/compliance awareness (SOC 2, HIPAA), secrets management.
Hands-on AWS: IAM & VPC basics, S3, SQS/SNS, API Gateway/ALB, CloudWatch; deploy via ECR + ECS/EKS or Lambda.
Why Join
Real impact, real users: Ship services that power sensitive workflows and live phone calls, your work goes into production and gets used daily.
Ownership from day 1: Design → build → deploy → monitor your services. No heavy bureaucracy; you’ll make architectural decisions that stick.
Deep technical growth: Work across Python/FastAPI, AWS (ECS/EKS/Lambda, S3, SQS/SNS, CloudWatch, MongoDB/Atlas, and LLM/RAG pipelines, tool calling, and structured outputs.
Hard, meaningful problems: Low-latency real-time pipelines (WebSockets/audio), reliability at scale, cost/latency tuning, and robust observability.
Fast feedback loop: Automated CI/CD, frequent releases, data-driven decisions, clear success metrics (latency, reliability, cost).
Strong engineering culture: Thoughtful code reviews, postmortems, runbooks, and documentation, supportive teammates who communicate clearly.
Mission + rigor: Build SOC2/HIPAA-aligned systems that genuinely help users while meeting high security and privacy bars.
Career acceleration: Grow into a domain owner/tech lead within 6–12 months by consistently delivering and raising the quality bar.
Remote-friendly & collaborative: Pragmatic processes, respectful schedules, and a focus on outcomes over hours
Duration: Permanent
Location: Hitech City, Hyderabad
Timings: Full Time (As per company timings)
Notice Period: (Immediate Joiner - Only)
Experience: 5-7 Years
What You’ll Do
Design and own Python/FastAPI microservices (async I/O, WebSockets) for real-time voice/data workflows.
Model and operate MongoDB/Atlas: schema design, indexing, aggregation pipelines, query tuning, TTL/archival, change streams.
Integrate third-party APIs/services (auth, webhooks, retries, idempotency, observability) and productionize them.
Contribute to LLM features: tool/function calling, structured outputs (Pydantic/JSON Schema), RAG, evaluations, safety/guardrails.
Create and maintain deployment pipelines; add metrics, logs, and traces; drive incident response and postmortems.
Collaborate with frontend, AI, and QA; write documents and runbooks; communicate clearly; and work as a supportive team member.
Must-Haves
5+ years of backend experience with Python (strong) and FastAPI (or similar async frameworks).
MongoDB proficiency: schema design, indexes, aggregation, profiling, performance tuning; operational know-how on Atlas.
CI/CD (GitHub Actions/GitLab CI or similar) and Docker.
Strong debugging across distributed systems; excellent communication and teamwork.
Proven third-party integration experience (auth, rate limits, pagination, webhooks).
LLM / AI Experience (Preferred/Plus)
Server-side integration with providers (e.g., OpenAI/Azure OpenAI/Bedrock) and streaming responses.
RAG pipelines (chunking, embeddings, vector stores), prompt versioning, structured outputs.
Evaluation & safety basics (offline eval sets, regression tests, guardrails/PHI redaction, latency & cost tracking).
Nice-to-Haves
Node.js/TypeScript for tools/edge services.
PostgreSQL/Redis; event/messaging (Kafka/Kinesis/RabbitMQ).
Real-time comms (SIP/WebRTC), audio streaming, STT/TTS.
Security/compliance awareness (SOC 2, HIPAA), secrets management.
Hands-on AWS: IAM & VPC basics, S3, SQS/SNS, API Gateway/ALB, CloudWatch; deploy via ECR + ECS/EKS or Lambda.
Why Join
Real impact, real users: Ship services that power sensitive workflows and live phone calls, your work goes into production and gets used daily.
Ownership from day 1: Design → build → deploy → monitor your services. No heavy bureaucracy; you’ll make architectural decisions that stick.
Deep technical growth: Work across Python/FastAPI, AWS (ECS/EKS/Lambda, S3, SQS/SNS, CloudWatch, MongoDB/Atlas, and LLM/RAG pipelines, tool calling, and structured outputs.
Hard, meaningful problems: Low-latency real-time pipelines (WebSockets/audio), reliability at scale, cost/latency tuning, and robust observability.
Fast feedback loop: Automated CI/CD, frequent releases, data-driven decisions, clear success metrics (latency, reliability, cost).
Strong engineering culture: Thoughtful code reviews, postmortems, runbooks, and documentation, supportive teammates who communicate clearly.
Mission + rigor: Build SOC2/HIPAA-aligned systems that genuinely help users while meeting high security and privacy bars.
Career acceleration: Grow into a domain owner/tech lead within 6–12 months by consistently delivering and raising the quality bar.
Remote-friendly & collaborative: Pragmatic processes, respectful schedules, and a focus on outcomes over hours
Required Skills
python/fastapi
microservices
mongodb/atlas
llm
docker
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