# Senior Backend Engineer

**Company:** [Apollo](https://hotfix.jobs/companies/apollo)
**Location:** Bengaluru, India
**Role:** Backend Engineering
**Experience:** 5+ years
**Skills:** Artificial Intelligence, Distributed Systems, Restful Services, SQL, NoSQL, Database Modeling, Data Structures, Algorithms, Object-Oriented Design, GCP, Kubernetes, Docker, MongoDB, Redis, Ruby on Rails
**Posted:** 2026-07-30

> Build and own highly scalable backend services across the full software lifecycle, with emphasis on observability, product judgment, and AI-assisted engineering. The role requires at least five years of backend experience and strong distributed-systems and software-design fundamentals.

## Job Description

## Responsibilities
- Design and implement highly scalable, highly available backend services with monitoring and alerting.
- Ramp quickly into large, unfamiliar codebases, assess blast radius, de-risk changes, and ship confidently.
- Use AI throughout the development workflow to generate and pressure-test approaches, verify outputs, catch errors, and own code quality.
- Drive the full software development lifecycle, including requirements, architecture, solution design, development, quality assurance, deployment, and maintenance.
- Scope under-specified problems and write clear design documents aligned with product needs.
- Partner with product managers to translate product intent into technical decisions, communicate technical realities, and challenge specifications when appropriate.
- Mentor teammates and share engineering best practices.
- Communicate progress clearly with product, engineering, and other stakeholders.
- Introduce technologies and ideas when they provide clear value.
- Participate in scrum ceremonies, team culture, and technical and behavioral feedback.

## Requirements
- Minimum 5+ years of industry experience in backend development, including 3–4 years in senior positions.
- Experience building large-scale applications with strong observability.
- Strong computer science fundamentals, including data structures, algorithms, and object-oriented design.
- Fluency with AI tools in real development work and the judgment to verify and pressure-test their output.
- Experience developing distributed web applications.
- Ability to write comprehensible, well-structured, performant code.
- Experience with SQL or NoSQL database modeling.
- Experience using and designing RESTful services.
- Curiosity, AI-native engineering judgment, communication, and problem-solving skills.
- Ability to work collaboratively, exercise product judgment, operate with ambiguity, and proactively improve systems and practices.

## Nice-to-haves
- Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field.
- Google Cloud Platform (GCP).
- Kubernetes.
- Docker.
- MongoDB.
- Redis.
- Ruby on Rails.
- Microservices.
- Machine learning.

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