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HackerRankPosted 22 days ago

Senior Backend Engineer

Full-time
Hybrid
3–6 years
Competitive
Posted 22 days ago

HackerRank is a platform that helps companies like NVIDIA, Amazon, and Microsoft hire and upskill developers based on skills. They are seeking a Senior Backend Software Development Engineer to drive the technical direction of backend systems, lead high-impact initiatives, and ensure platform reliability and scalability.

Posted
22 days ago
Source
job-boards.greenhouse.io
Sector
Information Technology & AI

Opens the employer's application page in a new tab

Responsibilities

  • Architect, design, and lead the implementation of complex backend systems and services that power core product experiences at scale
  • Define and drive technical strategy for your domain, making key decisions on system design, technology choices, and long-term architectural direction
  • Own the end-to-end reliability and performance of critical backend services, establishing SLOs, monitoring, and incident response best practices
  • Design scalable API frameworks and data models that serve as foundations for multiple product teams and external integrations
  • Lead cross-functional technical initiatives spanning multiple teams, coordinating with frontend, infrastructure, product, and design stakeholders
  • Identify and drive large-scale refactoring efforts, tackling tech debt and evolving legacy systems into modern, maintainable architectures
  • Mentor and grow engineers on the team through design reviews, code reviews, and hands-on technical guidance
  • Contribute to engineering-wide standards, tooling, and processes that raise the bar for code quality and developer productivity

Qualifications

  • Senior backend engineer with 3-6 years of experience building and operating production backend systems at scale
  • Expert in at least one modern backend programming language (e.g., Python, Ruby, Go, Java, or Node.js) with strong fundamentals across the stack
  • Proven ability to design and build distributed systems — you've made meaningful architectural decisions around service decomposition, data consistency, fault tolerance, and observability
  • Deep expertise with relational databases (PostgreSQL, MySQL) and NoSQL stores, including schema design, query optimization, and data modeling for high-throughput workloads
  • Strong understanding of caching strategies (Redis/Memcached), asynchronous messaging (Kafka/RabbitMQ), and event-driven architectures
  • Hands-on experience with containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code practices
  • Track record of leading technical projects from ambiguous problem statements through to production delivery
  • Deep, hands-on proficiency with AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude Code) — you don't just use them, you've developed workflows and best practices around them that you can teach others
  • Strong working knowledge of LLMs and agentic AI systems — you understand model capabilities, limitations, context management, tool use, and can reason about when and how to integrate AI into backend systems
  • Proven ability to leverage AI across the full software development lifecycle: architecture exploration, implementation, code review, test generation, documentation, incident analysis, and technical writing
  • Solid understanding of AI/ML fundamentals: transformer architectures, embedding models, inference optimization, RAG patterns, fine-tuning vs. prompt engineering trade-offs, and evaluation methodologies
  • Ability to evaluate and make technical recommendations on AI tooling, APIs, and integration patterns for your team and domain — including cost, latency, reliability, and security considerations
  • You actively follow developments in AI research and tooling, can separate hype from real engineering value, and drive adoption of AI-augmented practices within your team

Preferred

  • Experience designing and operating systems serving millions of concurrent users with strict latency and availability requirements
  • Deep expertise in system design patterns such as Microservices, CQRS, Event Sourcing, or Domain-Driven Design, with real-world application
  • Significant experience with cloud platforms (AWS, GCP, or Azure), including serverless architectures, managed services, and cost optimization
  • Experience building platform-level APIs, SDKs, or developer tools consumed by internal or external engineering teams
  • A history of driving engineering culture improvements — whether through RFC processes, architecture review boards, or engineering blog contributions

Required skills

AI-powered development toolsAI/ML fundamentalsAPI designAsynchronous messagingBackend programming languagesCI/CD pipelinesCaching strategiesCloud platformsContainerizationDistributed systemsEvent-driven architecturesInfrastructure as codeLarge language modelsNoSQL databases

Nice to have

$102.9M(10)(2)(3)(4)*20262020202120222023202420253.878

Full job description

HackerRank is a platform that helps companies like NVIDIA, Amazon, and Microsoft hire and upskill developers based on skills. They are seeking a Senior Backend Software Development Engineer to drive the technical direction of backend systems, lead high-impact initiatives, and ensure platform reliability and scalability.

Responsibilities

  • Architect, design, and lead the implementation of complex backend systems and services that power core product experiences at scale
  • Define and drive technical strategy for your domain, making key decisions on system design, technology choices, and long-term architectural direction
  • Own the end-to-end reliability and performance of critical backend services, establishing SLOs, monitoring, and incident response best practices
  • Design scalable API frameworks and data models that serve as foundations for multiple product teams and external integrations
  • Lead cross-functional technical initiatives spanning multiple teams, coordinating with frontend, infrastructure, product, and design stakeholders
  • Identify and drive large-scale refactoring efforts, tackling tech debt and evolving legacy systems into modern, maintainable architectures
  • Mentor and grow engineers on the team through design reviews, code reviews, and hands-on technical guidance
  • Contribute to engineering-wide standards, tooling, and processes that raise the bar for code quality and developer productivity

Preferred

  • Experience designing and operating systems serving millions of concurrent users with strict latency and availability requirements
  • Deep expertise in system design patterns such as Microservices, CQRS, Event Sourcing, or Domain-Driven Design, with real-world application
  • Significant experience with cloud platforms (AWS, GCP, or Azure), including serverless architectures, managed services, and cost optimization
  • Experience building platform-level APIs, SDKs, or developer tools consumed by internal or external engineering teams
  • A history of driving engineering culture improvements — whether through RFC processes, architecture review boards, or engineering blog contributions
  • System design patterns
  • Microservices
  • CQRS
  • Event Sourcing
  • Domain-Driven Design
  • Cloud platforms
  • AWS
  • GCP
  • Azure
  • Serverless architectures
  • Managed services
  • Cost optimization
  • Platform-level APIs
  • SDKs
  • Developer tools
  • Engineering culture improvements

Company

  • Developer skills assessment platform for hiring developers
  • Santa Clara, California, USA
  • http://hackerrank.com/
  • Founded in 2012
  • 201-500 employees

Qualifications

  • Senior backend engineer with 3-6 years of experience building and operating production backend systems at scale
  • Expert in at least one modern backend programming language (e.g., Python, Ruby, Go, Java, or Node.js) with strong fundamentals across the stack
  • Proven ability to design and build distributed systems — you've made meaningful architectural decisions around service decomposition, data consistency, fault tolerance, and observability
  • Deep expertise with relational databases (PostgreSQL, MySQL) and NoSQL stores, including schema design, query optimization, and data modeling for high-throughput workloads
  • Strong understanding of caching strategies (Redis/Memcached), asynchronous messaging (Kafka/RabbitMQ), and event-driven architectures
  • Hands-on experience with containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code practices
  • Track record of leading technical projects from ambiguous problem statements through to production delivery
  • Deep, hands-on proficiency with AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude Code) — you don't just use them, you've developed workflows and best practices around them that you can teach others
  • Strong working knowledge of LLMs and agentic AI systems — you understand model capabilities, limitations, context management, tool use, and can reason about when and how to integrate AI into backend systems
  • Proven ability to leverage AI across the full software development lifecycle: architecture exploration, implementation, code review, test generation, documentation, incident analysis, and technical writing
  • Solid understanding of AI/ML fundamentals: transformer architectures, embedding models, inference optimization, RAG patterns, fine-tuning vs. prompt engineering trade-offs, and evaluation methodologies
  • Ability to evaluate and make technical recommendations on AI tooling, APIs, and integration patterns for your team and domain — including cost, latency, reliability, and security considerations
  • You actively follow developments in AI research and tooling, can separate hype from real engineering value, and drive adoption of AI-augmented practices within your team
  • Experience designing and operating systems serving millions of concurrent users with strict latency and availability requirements
  • Deep expertise in system design patterns such as Microservices, CQRS, Event Sourcing, or Domain-Driven Design, with real-world application
  • Significant experience with cloud platforms (AWS, GCP, or Azure), including serverless architectures, managed services, and cost optimization
  • Experience building platform-level APIs, SDKs, or developer tools consumed by internal or external engineering teams
  • A history of driving engineering culture improvements — whether through RFC processes, architecture review boards, or engineering blog contributions
  • Senior backend engineer with 3-6 years of experience building and operating production backend systems at scale.

Required skills

  • AI-powered development tools, AI/ML fundamentals, API design, Asynchronous messaging, Backend programming languages, CI/CD pipelines, Caching strategies, Cloud platforms, Containerization, Distributed systems, Event-driven architectures, Infrastructure as code, Large language models, NoSQL databases, Relational databases, System design patterns

Preferred skills

  • $102.9M, (10), (2), (3), (4), *2026, 2020, 2021, 2022, 2023, 2024, 2025, 3.8, 78, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Engineering and Development, Glassdoor, H1B Sponsorship, JMI Equity, Key Investors, Late Stage, Product Management, Represents job field similar to this job, Sales, Santa Clara, California, USA, Susquehanna Growth Equity, Total Funding, Trends of Total Sponsorships, http://hackerrank.com

Experience

  • 3-6 years

Job details

Employment type

Full-time

Seniority level

3–6 years

Date posted

Oct 22, 2026

Work mode

Hybrid

Job source

job-boards.greenhouse.io

Company

HackerRank

Information Technology & AI

Developer skills assessment platform for hiring developers

  • Santa Clara, California, USA
  • Information Technology & AI
  • 201-500 employees
  • Founded 2012
  • hackerrank.com

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