Backend Engineer

Shiprocket; Delhi; Vor Ort; INR 2.800.000 - 4.200.000; Vollzeit

Zusammenfassung

Shiprocket is seeking an experienced Backend Software Engineer (6-8 years) to own and build scalable backend services for India's open digital commerce ecosystem. You will design APIs, data pipelines, and systems with low latency, high availability, and strong reliability.

Requirements include Go or similar languages, Kafka, PostgreSQL, Docker/Kubernetes, and cloud familiarity. You will lead testing, CI/CD, and observability, and mentor teammates while delivering production-grade software.

Qualifikationen

• 6-8 years of professional experience in backend software development, system design, and production engineering.
• At least 2 years of hands-on experience building or operating high-throughput backend services with strict latency and reliability requirements.
• Strong programming skills in Go or a comparable language such as Java, C++, or Rust, with the willingness to develop proficiency in Go.
• Strong understanding of distributed systems concepts, including consistency, availability, idempotency, retries, exponential backoff, dead-letter queues, eventual consistency, and fault tolerance.
• Hands-on experience with Kafka or similar message brokers and event-streaming platforms.
• Strong experience with PostgreSQL, relational database design, query optimisation, and transaction management.
• Experience deploying and operating containerised applications using Docker and Kubernetes.
• Working knowledge of at least one major cloud platform: AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Experience with CI/CD pipelines, automated testing, release management, and production deployment practices.
• Practical knowledge of observability tools such as Prometheus, Grafana, OpenTelemetry, and structured logging.
• Strong problem-solving, debugging, system-design, and performance-optimisation skills.
• Experience owning backend services through the complete software development lifecycle, from architecture and development to deployment and production support.
• Ability to work independently, make sound technical decisions, and collaborative effectively with engineering teams.
• Experience using AI coding assistants responsibly, including reviewing and validating AI-generated code.

Aufgaben

• Design, develop, build, and architect scalable backend services, APIs, data pipelines, and system integrations supporting high-volume transactions across the ONDC network.
• Build and optimise distributed systems to maintain high availability, data consistency, fault tolerance, and low latency, targeting p99 latency below 200 ms.
• Develop and maintain high-quality, production-ready code using Go or a comparable programming language, with the ability to ramp up quickly on Go.
• Design and implement comprehensive unit, integration, contract, and load testing strategies to validate system performance and service-level agreements.
• Build and manage CI/CD pipelines, automated deployments, blue-green and canary releases, and feature-flag mechanisms.
• Implement observability using structured logging, metrics, distributed tracing, dashboards, and alerting through tools such as Prometheus, Grafana, and OpenTelemetry.
• Troubleshoot production issues, participate in on-call rotations, conduct root-cause analysis, and drive corrective and preventive actions.
• Work with Kafka or similar event-streaming platforms, PostgreSQL, containerisation technologies, Kubernetes, and cloud infrastructure.
• Identify performance bottlenecks, optimise resource utilisation, and improve the scalability and resilience of backend services.
• Collaborate with cross-functional teams to translate business and technical requirements into robust engineering solutions.
• Conduct code reviews, mentor junior engineers, establish engineering best practices, and contribute to architectural and technical decisions.
• Leverage AI-assisted coding tools for development, testing, refactoring, and productivity while maintaining accountability for code quality, security, and reliability.

Kenntnisse

Go

Distributed systems

Kafka

PostgreSQL

Docker

Kubernetes

Cloud platforms

CI/CD

Observability

Code reviews

AI tooling

Tools

Prometheus

Grafana

OpenTelemetry

Jobbeschreibung

We are looking for an experienced Backend Software Engineer with 6-8 years of experience in designing, developing, and operating scalable, high-performance backend systems. You will take end-to-end ownership of backend services, distributed systems, data pipelines, API contracts, testing, deployment, and production observability. You will work closely with a hands-on engineering team to build and maintain reliable infrastructure supporting India's open digital commerce ecosystem. The ideal candidate has strong backend engineering fundamentals, hands-on experience with distributed systems, and a proven track record of delivering production-grade services under demanding performance and reliability requirements.

Responsibilities:

• Design, develop, build, and architect scalable backend services, APIs, data pipelines, and system integrations supporting high-volume transactions across the ONDC network.
• Build and optimise distributed systems to maintain high availability, data consistency, fault tolerance, and low latency, targeting p99 latency below 200 ms.
• Develop and maintain high-quality, production-ready code using Go or a comparable programming language, with the ability to ramp up quickly on Go.
• Design and implement comprehensive unit, integration, contract, and load testing strategies to validate system performance and service-level agreements.
• Build and manage CI/CD pipelines, automated deployments, blue-green and canary releases, and feature-flag mechanisms.
• Implement observability using structured logging, metrics, distributed tracing, dashboards, and alerting through tools such as Prometheus, Grafana, and OpenTelemetry.
• Troubleshoot production issues, participate in on-call rotations, conduct root-cause analysis, and drive corrective and preventive actions.
• Work with Kafka or similar event-streaming platforms, PostgreSQL, containerisation technologies, Kubernetes, and cloud infrastructure.
• Identify performance bottlenecks, optimise resource utilisation, and improve the scalability and resilience of backend services.
• Collaborate with cross-functional teams to translate business and technical requirements into robust engineering solutions.
• Conduct code reviews, mentor junior engineers, establish engineering best practices, and contribute to architectural and technical decisions.
• Leverage AI-assisted coding tools for development, testing, refactoring, and productivity while maintaining accountability for code quality, security, and reliability.

Requirements:

• 6-8 years of professional experience in backend software development, system design, and production engineering.
• At least 2 years of hands-on experience building or operating high-throughput backend services with strict latency and reliability requirements.
• Strong programming skills in Go or a comparable language such as Java, C++, or Rust, with the willingness to develop proficiency in Go.
• Strong understanding of distributed systems concepts, including consistency, availability, idempotency, retries, exponential backoff, dead-letter queues, eventual consistency, and fault tolerance.
• Hands-on experience with Kafka or similar message brokers and event-streaming platforms.
• Strong experience with PostgreSQL, relational database design, query optimisation, and transaction management.
• Experience deploying and operating containerised applications using Docker and Kubernetes.
• Working knowledge of at least one major cloud platform: AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Experience with CI/CD pipelines, automated testing, release management, and production deployment practices.
• Practical knowledge of observability tools such as Prometheus, Grafana, OpenTelemetry, and structured logging.
• Strong problem-solving, debugging, system-design, and performance-optimisation skills.
• Experience owning backend services through the complete software development lifecycle, from architecture and development to deployment and production support.
• Ability to work independently, make sound technical decisions, and collaborative effectively with engineering teams.
• Experience using AI coding assistants responsibly, including reviewing and validating AI-generated code.

Preferred Qualifications:

• Experience with open networks and interoperable protocols such such as BeCAN, UPI, or Account Aggregator.
• Exposure to API gateways, service meshes, and large-scale API management.
• Experience in payments, e-commerce, logistics, fintech, or other high-volume transaction-driven systems.
• Contributions to open-source projects, technical blogs, or engineering communities.
• Experience improving system reliability, reducing production incidents, and optimising latency and infrastructure costs.