Top Remote Backend Engineer Jobs

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.

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.

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.

Build reliable backend software features and services for Atlassian’s Focus Funds and AI team. Responsibilities include developing REST APIs, configuring backend service monitoring, creating CI/CD pipelines, and integrating platforms with Atlassian’s content management system.

Designs, builds, tests, deploys, and operates core identity services. Responsibilities include monitoring SLOs, participating in on-call and incident response, automating manual processes, conducting design and code reviews, mentoring peers, improving documentation, and applying security and privacy principles to authorization workflows.

Design, build, and ship scalable backend features for Confluence Cloud AI automation and search. Develop RESTful microservices using object-oriented programming languages and work with relational and NoSQL databases in a distributed environment. Collaborate with engineering, architecture, product, and design teams; participate in Agile ceremonies; review code; and ensure reliability, security, performance, testing, documentation, monitoring, and error reporting.

Build and ship features for highly scalable, geographically distributed backend services. Responsibilities include collaborating with engineers, architects, product managers, and designers; participating in code reviews; applying testing, documentation, reliability, security, and performance best practices; mentoring teammates; monitoring services; and contributing to Agile ceremonies.

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.

Build and operate scalable backend services powering AI agent orchestration, real-time data pipelines, scheduling, conversation history, APIs, and platform infrastructure. Collaborate with AI, product, and front-end engineers to deliver AI-powered features, improve reliability, and support consumer and enterprise customers. The role includes infrastructure as code, testing, documentation, production debugging, cross-functional prioritization, and mentoring junior engineers.

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.

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.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

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.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Design, build, deploy, and operate Philo’s scalable server-side ad insertion and programmatic advertising services. Develop resilient data pipelines, ad integrations, identity and measurement solutions, monitoring tools, and highly available microservices. Collaborate with ad ecosystem partners, video delivery, ad operations, data science, and business stakeholders to optimize ad delivery, reliability, performance, security, and compliance with industry standards.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.