Top Backend Developer Jobs

Build and improve backend systems, internal tools, and user-facing features in collaboration with leadership and cross-functional teams. Lead initiatives from design through delivery, create scalable and maintainable solutions, contribute to technical direction, and mentor teammates. The role emphasizes autonomy, strong communication, user-centric outcomes, and participation in a mission-driven engineering culture.

Lead the design and delivery of complex backend systems, provide architecture guidance, develop scalable and reliable software, mentor engineers, prototype technologies, and collaborate with product, design, analytics, and engineering teams. The role involves evaluating technical trade-offs, applying software engineering best practices, and building cloud-based products and data platforms for real estate professionals and consumers.

Design, develop, test, deploy, and monitor scalable backend systems for a payroll SaaS product. Build APIs and microservices, collaborate with product and engineering teams, participate in code reviews, and own the full development lifecycle in a continuous delivery environment. The role emphasizes Kotlin, Scala, or Java, cloud platforms, automated testing, relational databases, scalable architecture, and responsible use of AI coding tools.

Leads backend software engineering for secure, scalable digital banking applications. Designs, develops, tests, troubleshoots, reviews, and debugs production code using Java, Spring Boot, AWS, Kafka, databases, and monitoring tools. Drives automation, operational stability, secure SDLC practices, and responsible adoption of AI-assisted engineering tools. Evaluates architectural solutions with vendors and internal teams while providing technical leadership across agile delivery.

Design, develop, and maintain Java backend services and APIs for high-throughput commodities trading workflows. Build Kafka-based event-driven pipelines, integrate Oracle databases, and deploy scalable cloud-native solutions on AWS. Troubleshoot distributed production systems, participate in Agile delivery, apply secure coding practices, and use authorized AI-assisted development tools. Collaborate with technology, data engineering, and business teams to deliver reliable, maintainable software.

Leads backend Java software engineering for payments technology, including architecture, design, development, testing, debugging, code review, and operational stability. Manages scrum delivery and builds secure, scalable, high-throughput, low-latency distributed systems using microservices and REST APIs. Applies CI/CD, automation, reactive programming, cloud technologies, and AI-assisted development tools while validating code quality, performance, and security.

Develop and maintain backend services and APIs supporting WHOOP member-facing features. Collaborate with product, design, data science, and engineering teams to deliver scalable solutions. Write tested code, participate in reviews, monitor production systems, troubleshoot issues, document solutions, and contribute to reliable, high-performing distributed systems using Java, Kafka, PostgreSQL, and AWS.

Own backend engineering goals for Consumer Engineering, lead delivery of scalable systems, collaborate with product, design, and analytics, improve reliability and code quality, resolve technical and business issues, support on-call operations, and mentor engineers.

Own quarterly engineering goals, lead backend engineers through ambiguous problems, collaborate with product and analytics partners, improve system reliability and availability, monitor operational metrics, establish quality standards, and mentor team members. The role requires designing and launching highly available distributed backend systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes, while driving technical planning and safe changes across large codebases.

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.

Leads cross-team backend initiatives and technical architecture for GitLab’s Core DevOps platform. Responsibilities include modernizing a monolith, establishing service, API, data, security, testing, and observability standards, guiding Go and Kubernetes practices, supporting Rust adoption, participating in incident response, mentoring engineers, reducing technical debt, and advancing AI-assisted engineering workflows.

Develop and operate Go-based, globally available distributed systems that enable petabyte-scale data ingestion for NG-SIEM. Solve scalability, reliability, latency, availability, and cost challenges while supporting multi-region production systems. Collaborate with UI, UX, data science, and engineering teams, contribute to platform initiatives, and help develop AI-enabled autonomous data-onboarding capabilities.

Develop and maintain Python backend services, REST APIs, PostgreSQL databases, Docker containers, and OpenShift deployments. Responsibilities include API authentication, data validation, database optimization, production troubleshooting, automated testing, technical documentation, stakeholder collaboration, code reviews, and mentoring. The role supports mission-driven applications and requires close collaboration with product, operations, and security teams.

Build and operate high-throughput backend services for AI agent orchestration, real-time infrastructure, data pipelines, scheduling, session history, APIs, and enterprise controls. Design highly available cloud infrastructure, collaborate with AI, product, and frontend teams, and contribute to testing, documentation, reliability, and mentoring junior engineers.

Develop and launch reliable backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor system metrics, support availability and on-call operations, debug code, conduct code reviews, and contribute to team growth and interviewing. The role requires 1.5+ years of software engineering experience and strong communication skills.

Build and maintain backend data connectors and shared connectivity infrastructure for Palantir Foundry. Develop connector SDKs, integrations, build and distribution tooling, testing frameworks, observability, security capabilities, and migration solutions. Collaborate across teams to support batch and streaming ingestion, exports, change data capture, interactive queries, and writeback. Diagnose production reliability and performance issues, improve compatibility and maintainability, and help prepare connectivity software for open-source use.

Build and scale Java backend services, recommendation infrastructure, and data-processing pipelines for Taboola’s performance advertising platform. Design reliable microservices, search and event-driven systems handling billions of events and terabytes of data. Own services end to end, including production monitoring, incident response, root-cause analysis, and continuous improvement. Collaborate with product and architecture teams, manage integration projects, mentor engineers, and use AI-assisted development tools.

Design, build, and maintain scalable backend enterprise services for user, group, and membership management. Develop TypeScript, REST, and JSON services; implement SCIM-based identity synchronization and lifecycle management; operate high-scale systems through on-call rotations; and use Terraform, AWS CloudFormation, and Kubernetes to deliver highly available applications. Collaborate across teams on large-scale projects involving security, identity protocols, and access control models.

Lead development of scalable Java and Spring Boot microservices, REST APIs, Kafka-based event-driven systems, and cloud deployments on AWS. The role includes database optimization, CI/CD, infrastructure as code, automated testing, observability, production support, secure coding, technical design, code reviews, and mentoring. The engineer will also lead adoption and validation of AI-assisted development practices across the team.

Build and deliver backend payment-processing features using Kotlin, scalable APIs, microservices, and containerization. Develop automated tests, monitor feature rollouts, collaborate with UX and product management, and participate in design and code reviews. The role supports Toast’s unified payments platform and requires East Coast working hours.

Build scalable backend systems that process and analyze millions of contracts. Design pipelines orchestrating LLMs, data extraction, and clustering algorithms; develop highly accurate search and retrieval systems; and collaborate with lawyers and product teams to create AI-powered contract solutions.

Build backend systems that process and analyze millions of contracts, orchestrate LLM and data-extraction pipelines, develop scalable clustering and retrieval systems, and collaborate with lawyers and product teams. The role emphasizes pragmatic engineering, resourcefulness, urgency, product impact, and working effectively in a fast-growing startup environment.

Build reliable backend systems that process millions of contracts, orchestrate LLM and data-extraction pipelines, support clustering algorithms, and power highly accurate contract search and retrieval. Collaborate with lawyers and product teams to develop AI-driven legal technology in a fast-growing startup environment.

Develop and maintain scalable back-end applications, microservices, RESTful APIs, and distributed software components for a government data analytics platform. Responsibilities include data ingestion and processing enablement, system integration, performance optimization, security implementation, troubleshooting, automated testing, CI/CD, code reviews, and Agile collaboration with multidisciplinary engineering teams.

Designs and operates large-scale distributed systems for customer placement, auto balancing, and autoscaling within CrowdStrike’s multi-tenant NG-SIEM platform. The role uses real-time usage data to optimize performance and resource utilization, investigates LogScale ingestion, storage, caching, and query behavior, and delivers reliable production features. Responsibilities include incident response, technical strategy, cross-team alignment, mentoring, and leading ambiguous scalability initiatives. The position is hybrid in Sunnyvale, Redmond, New York City, or Austin.