Backend Engineer – Platform

Location: Bangalore, India
Work Mode: Hybrid – initially Work From Home, gradually transitioning to 3–4 days/week from office
Experience: 3–5 Years
Salary: ₹25–30 LPA
Notice Period: Immediate to 30 Days
Shift: Day Shift + limited overlap with US team

About the Role

We are looking for a Backend Engineer to join the Platform Engineering team and build scalable backend services powering AI-driven healthcare products.

You will design, develop, test, deploy, and operate production-grade backend services using Java and Python , while contributing to microservices, distributed systems, APIs, observability, and system architecture.

This is a mid-level, high-ownership engineering role suited for someone who enjoys solving complex backend problems and taking ownership of features from design through production.

Key ResponsibilitiesBackend Development

Design, develop, and maintain scalable backend services and APIs using Java and Python .
Build clean, well-tested, production-ready code.
Take end-to-end ownership of features from design and development through deployment and production support.
Develop and maintain REST APIs and event-driven services .
Debug and resolve production issues with a strong focus on reliability and performance.
Participate in code reviews and contribute to engineering best practices.

System Design & Architecture

Design and evolve microservices and distributed systems .
Apply strong understanding of scalability, availability, latency, consistency, and fault tolerance.
Contribute to system design and architectural discussions.
Prepare clear technical design documents and specifications.
Design services with observability in mind, including logging, metrics, alerting, and tracing.

Quality & Engineering Practices

Write and maintain unit, integration, and end-to-end tests .
Own quality and test coverage for backend components.
Define and monitor service-level metrics such as error rates, latency, and throughput.
Participate in production support, incident resolution, and post-incident reviews.
Maintain technical documentation, API contracts, runbooks, and architecture decisions.
Contribute to CI/CD and engineering automation.

Collaboration

Work closely with engineering, AI/ML, product, and infrastructure teams.
Collaborate effectively with distributed teams across India and the US.
Communicate technical decisions, risks, dependencies, and timelines clearly.
Take ownership of deliverables and drive features to completion independently.

Required Skills & Experience

3–5 years of professional software engineering experience with a strong backend focus.
Strong hands-on experience with Java and Python , both used in production.
Strong understanding of microservices architecture and distributed systems .
Experience building and operating backend services handling real production/customer traffic.
Strong knowledge of REST APIs, databases, Kafka/event-driven architecture , and backend service design.
Strong System Design and OOP fundamentals .
Understanding of concurrency, processes/threads, interfaces, and distributed architecture.
Strong coding, algorithms, problem-solving, and debugging skills.
Experience with Git/GitHub, pull requests, code reviews, branching strategies, and CI/CD .
Experience owning backend components across design, development, testing, deployment, and production support .
Strong written and verbal communication skills.
Ability to work independently and take complete ownership of assigned features.

Good to Have(816)

Experience in a product-based company, SaaS organization, GCC, or strong engineering environment .
Exposure to AI/ML, LLMs, conversational AI, or production AI systems .
Experience with AWS or Azure .
Knowledge of observability tools such as Grafana, CloudWatch, or OpenTelemetry .
Experience with healthcare technology or other regulated industries.
Understanding of HIPAA, data privacy, audit logging, or compliance requirements .
Experience using AI-assisted development tools such as GitHub Copilot, Claude, or similar tools .
Experience working with high-scale production systems.

Ideal Candidate Profile

Strong backend specialist , not a generalist/full-stack profile.
3–5 years of relevant professional experience.
Strong Java + Python combination.
Hands-on production/SaaS experience.
Experience with microservices and distributed systems.
Has independently owned a backend service or significant backend component.
Strong engineering fundamentals and coding ability.
Demonstrated stability, ideally 2–3+ years with previous employers and evidence of growth or increasing responsibility.
Candidates from product companies, SaaS companies, GCCs, FAANG/similar organizations, and backend-focused startups are preferred.

Not a Fit

Freshers or candidates with only academic/side-project experience.
Lead/Senior/Architect-level profiles.
Primarily Full-Stack or hybrid profiles without strong backend depth.
Candidates focused primarily on hardware drivers, embedded systems, network OS/switches, desktop add-ins, lab automation, or on-device ML models.
Candidates without hands-on production backend experience.

Interview Process

5 Rounds in Total

Backend Coding Round
Experience Round
Technical Round
Final Interview

Additional evaluation may be included as part of the overall hiring process.

Key Hiring Parameters

Experience: 3–5 Years
Core Skills: Java + Python + Backend + Microservices + Distributed Systems
Production Experience: Mandatory
Notice Period: Immediate to 30 Days
Location: Bangalore
Work Mode: Hybrid
Salary: ₹25–30 LPA

Backend Engineer - Platform

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