Top Backend Developer Jobs

Lead large-scale initiatives for a high-performance Linux-based network sensor, improving ingestion, scalability, continuous capture, queue reliability, observability, and production diagnostics. Own root cause analysis and postmortems, establish engineering standards, translate business goals into technical plans, and mentor engineers through design and code reviews. The role requires deep Rust expertise, distributed systems experience, concurrent programming, packet capture, message brokers, and cybersecurity best practices.

Lead architecture and development of backend services, APIs, integrations, and internal tools supporting supply planning, inventory, orders, fulfillment, logistics, and membership operations. Set technical direction, deliver complex initiatives, improve system security and resilience, partner cross-functionally, and mentor engineers. The role requires designing scalable distributed systems, integrating enterprise platforms and cloud services, managing data consistency and recovery, and translating ambiguous business needs into reliable technical solutions.

Build and operate scalable backend services and Kafka/Flink stream-processing pipelines for telemetry from hundreds of thousands of IoT devices. Develop APIs, process geofencing and asset-location data, collaborate with embedded and IoT teams, improve reliability and code quality, manage AWS infrastructure, and mentor engineers.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Design, develop, and support high-performance C++ backend services for a video advertising platform. Responsibilities include system design, concurrency and performance optimization, software releases, cross-functional collaboration, mentoring junior engineers, documentation, reliability monitoring, QA partnership, and technical innovation. The role requires Linux profiling and debugging, distributed service architecture knowledge, and occasional work on machine learning inference systems.

Build and launch complex backend projects, design scalable architectures, lead code reviews, resolve high-risk issues, and contribute to company-wide engineering initiatives. The role involves Java development, distributed systems, cloud platforms, databases, performance optimization, mentoring engineers, and influencing technical decisions across teams.

Leads the design, development, testing, and operation of secure, scalable Java backend systems and Kafka-based event-streaming platforms. Drives architecture decisions, writes design documentation, improves reliability and observability, reviews code, troubleshoots production issues, and promotes responsible AI-assisted engineering practices. Collaborates with vendors and internal stakeholders, mentors engineers, and leads communities of practice. The role requires expertise in microservices, cloud platforms, distributed systems, databases, high-throughput streaming, and operational stability.

Build and operate Philo’s ML and LLM infrastructure, including AWS and Kubernetes platforms, GPU scheduling, model serving, inference optimization, monitoring, evaluation, experimentation, and CI/CD. The role establishes infrastructure best practices, reliability, security, scalability, and Infrastructure as Code while supporting recommendation, video classification, and agent workloads. It also involves collaborating with engineers and vendors to deploy, instrument, and manage production systems.

Own the design, development, deployment, and maintenance of backend services, APIs, databases, integrations, and cloud infrastructure. Build secure REST and GraphQL APIs, optimize relational data systems, modernize service architecture, maintain CI/CD and testing, and implement privacy and security controls. Collaborate with frontend, QA, and product teams, review code, document systems, and mentor developers.

Design, implement, test, debug, and operate scalable backend services such as identity, friend graph, and persistence systems. Collaborate across teams to deliver product solutions while maintaining availability, scalability, security, operational excellence, and cost efficiency. Investigate incidents and hotfixes, apply distributed-systems best practices, and use AI-assisted development tools while auditing output for quality and security.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Design, implement, operate, and scale critical backend services, including identity, social graph, and persistence systems. Collaborate across teams to deliver product solutions, ensure availability and operational excellence, test and debug code, and participate in incident resolution. The role requires technical leadership, distributed-systems expertise, and effective use of AI development tools while maintaining security, performance, and production-quality standards.

Build and operate Affirm’s AI platform, including LLM and MCP gateways, agent runtimes, evaluation services, and governance controls. Design highly available backend systems, manage identity, quotas, routing, caching, reliability, observability, and security for AI workloads. Own projects from design through launch and on-call, establish engineering standards, collaborate across teams, mentor engineers, and help scale AI systems into production.

Principal Software Engineer leading frontend and full-stack architecture for Atlassian’s Growth Platform. The role defines technical strategy for messaging, personalization, notifications, and experimentation systems; designs scalable microservices, APIs, data models, and React/TypeScript components; drives performance, reliability, security, accessibility, observability, and CI/CD standards; and influences multiple teams through architecture reviews, cross-functional partnership, and mentorship.

Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.

Leads the design, development, testing, troubleshooting, and operational support of secure, scalable Java backend applications. Builds cloud-native microservices, resilient distributed systems, and RESTful solutions using SQL and NoSQL databases. Reviews code, resolves production issues, automates recurring remediation, supports continuous delivery, promotes modern engineering practices, and mentors teams across software engineering.

Design, build, and evaluate conversational AI agents using Go and Python. Own agent orchestration, sub-agent architecture, prompt engineering, tool integrations, guardrails, approval flows, observability, and evaluation infrastructure. Develop datasets, scorers, regression suites, and quality metrics for production readiness. Collaborate cross-functionally on conversational experiences, make architecture decisions, rapidly prototype agents, harden them for launch, and mentor engineers.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Build and maintain large-scale backend applications and high-volume processing infrastructure. Own projects from discovery through launch, improve system performance, reliability, scalability, testing, monitoring, and continuous deployment, and protect sensitive data. Collaborate with cross-functional teams, contribute to engineering excellence, mentor junior developers, and use technologies including Golang, Ruby on Rails, AWS, Kafka, MySQL, Docker, and Kubernetes.

Build, deploy, and maintain large-scale backend applications and high-volume, fault-tolerant infrastructure. Own complex projects from discovery through launch, improve system performance, reliability, and scalability, enhance testing and deployment infrastructure, secure sensitive data, and provide technical leadership, mentorship, and cross-functional collaboration.

Build and maintain Python backend services and REST APIs for Self Financial’s credit card products. Work with Flask, FastAPI, relational databases, third-party integrations, testing, security, monitoring, and scalable distributed systems. Collaborate with product, design, frontend, QA, and engineering teams to deliver reliable software, participate in code reviews, troubleshoot issues, document systems, and contribute to continuous improvement.

Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.

Lead backend architecture and deliver reusable solutions, unblock engineering teams across the development lifecycle, drive complex design and bug fixes, set code review standards, mentor engineers, collaborate on company-wide projects, and make technical decisions balancing correctness, performance, and customer impact.

Build and improve backend services, REST APIs, monitoring, CI/CD pipelines, content-management integrations, and reliable customer-facing features. The role requires collaborative software development experience with prominent programming languages, REST integrations, Git, and server technologies such as Docker, NGINX, and Node.js. Experience with enterprise content management systems, AWS, Java, Freemarker, or Rust is advantageous.