Top Backend Developer Jobs

Build and maintain backend services and APIs for web and mobile applications. Own features throughout design, development, testing, release, and support. Mentor junior engineers, conduct code reviews, promote test-driven development, respond to incidents, and improve distributed systems. The role requires collaboration with internal users and participation in on-call and postmortem activities. Candidates must work in-office at the company headquarters in Downtown Dallas.

Design and scale backend systems, APIs, and services for Nango’s open-source developer infrastructure platform. Build APIs, SDKs, UIs, and runtime systems, optimize performance and reliability, solve integration challenges with customers, shape the roadmap, and maintain the open-source repository. The role requires strong ownership, product thinking, developer empathy, communication, and autonomy in a remote-first startup environment.

Design and implement scalable backend systems and enterprise-ready features for Pave’s Market Pricing platform. Own the full development lifecycle, collaborate with customers and stakeholders, solve ambiguous problems, monitor releases, set technical direction, mentor engineers, and improve engineering standards while prioritizing performance, reliability, and robust system design.

Design, develop, and maintain high-performance Scala/Java server-side applications and RESTful APIs. Work on distributed systems, ensure data integrity and security, write unit tests, optimize performance, participate in design reviews, and mentor junior engineers while supporting CMS mission requirements.

Build and evolve backend systems for an AI-powered security platform. Responsibilities include developing security-tool integrations, data ingestion and processing services, proof-of-value pipelines, security data storage and indexing, and AI-powered security workflows. The role involves writing production code, contributing to technical design, collaborating across product, machine learning, and cybersecurity teams, and owning projects through deployment with mentorship.

Contribute to backend systems powering an AI-driven cybersecurity platform. Build integrations with security tools, proof-of-value pipelines, data storage and indexing systems, and AI-powered security workflows. Write production code, participate in technical design, and own projects through deployment while collaborating with product, machine learning, and cybersecurity teams.

Develop, maintain, test, integrate, and support backend software in AWS environments using DevOps practices. Design and modify software, debug defects, develop database queries and interfaces, execute testing and quality control, support installations, and maintain technical documentation. Collaborate with system and hardware engineers in an Agile environment using Git, Jira, and Confluence.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Develop and maintain RPA solutions, web applications, and software modules across the full development lifecycle. Gather requirements from clients, analyze business needs, design solutions, code, test, document, release, and support applications in production. Lead and mentor developers, conduct code reviews, troubleshoot complex issues, optimize performance, ensure security and quality standards, create technical plans and reports, and recommend technologies and enhancements.

Lead the architecture, development, and scaling of backend services, APIs, distributed systems, data pipelines, agent clouds, and platform infrastructure. Build reliable third-party integrations, improve observability and security, shape engineering standards and CI/CD practices, and support DevOps and troubleshooting. Contribute to AI agent harness selection, prompt optimization, and evaluation systems while making architecture and operational decisions in a fast-paced startup environment.

Build and maintain backend infrastructure for AZX’s LLM gateway, including routing, rate limiting, key management, observability, sandboxing, Kubernetes services, operators, and autoscaling. Develop high-performance services in Go, Rust, or async Python using Envoy and gRPC. Support reliable model serving across cloud and customer-managed clusters, collaborate across platform teams, and help develop scalable inference and evaluation capabilities.

Build and scale backend systems for a high-traffic donor CRM and payments platform. Own performant SQL and realtime querying, optimize payment flows, implement AI agents, and collaborate across product and design to ship resilient, production-grade features at scale.

Build and scale backend APIs, services, event-driven workflows, queues, data models, caching, and integrations serving millions of users. Lead complex technical initiatives from discovery through production, improve reliability and performance, debug cross-system issues, and optimize databases and infrastructure interactions. Partner across Product, Design, Infrastructure, Platform, Data, and Support while mentoring engineers, influencing technical decisions, and raising engineering quality standards.

Design and lead backend services and data pipelines for Haus’s data platform, including high-throughput ingestion, distributed systems, normalization, orchestration, data contracts, warehouse and lakehouse modeling, dbt architecture, data quality, lineage, observability, and BigQuery optimization. Set technical direction, establish engineering standards, mentor senior engineers, and collaborate with engineering, product, and data science leadership.

Design and lead backend services and data pipelines for Haus’s data platform, including high-throughput ingestion, normalization, orchestration, distributed systems, warehouse modeling, dbt architecture, data quality, lineage, and BigQuery optimization. Set technical standards for testing, APIs, observability, and CI/CD; guide architecture across the GCP stack; mentor engineers; and influence company-wide data strategy while partnering with engineering, product, and data science teams.

Design and build scalable backend services, data systems, pipelines, cloud infrastructure, and AI-enabled features for an enterprise SaaS platform. Lead technical projects, improve reliability and security, automate engineering workflows, and collaborate with product, design, and data teams. The role requires hands-on ownership in a fast-moving startup environment, with a focus on distributed systems, architecture, performance, compliance, and operational excellence.

Design and scale high-throughput, low-latency backend systems powering Fetch’s advertising platform. Own architecture across ad selection, targeting, delivery, attribution, and measurement services; improve reliability, observability, performance, and resilience; lead cross-team technical initiatives and migrations; establish engineering standards; resolve complex distributed-systems problems; and mentor senior engineers across Ads, Platform, Data, ML, and Product teams.

Staff Backend Engineer responsible for architecting and building scalable Python backend infrastructure, APIs, data models, document ingestion pipelines, event-driven processing systems, and AI extraction integrations. The role sets technical direction, makes architectural decisions, collaborates with customers on product development, establishes engineering best practices, and mentors backend engineers while helping build a high-performing team.

Build and operate reliable, scalable backend services and infrastructure. Collaborate with product, design, mobile, data science, and machine learning teams; own complex technical problems from design through production; lead project priorities and milestones; and maintain systems supporting score calculation, learning engagement, advertising, and observability.

Build and operate reliable, scalable backend services and infrastructure for Duolingo’s advertising systems. Responsibilities include collaborating with product, design, data science, machine learning, and ad operations; designing, developing, releasing, and maintaining backend systems; and owning project priorities and milestones through production. The role requires strong backend fundamentals, systems thinking, and experience with Java, Python, or Kotlin and database technologies.

Designs and scales Coupang’s search and discovery backend services, resolving architectural constraints, performance bottlenecks, latency, and high-traffic availability challenges. The role develops customer-facing products, optimizes mission-critical APIs, applies distributed systems and systems programming expertise, and partners with product and design teams to improve user experiences.

Design, build, maintain, and scale production backend services and integrations. Debug cross-service production issues, lead architecture and technical decisions, mentor engineers, improve engineering standards and tooling, release backward-compatible APIs, implement auto-scaling services, and architect real-time systems for syncing large data volumes.

Lead architecture and implementation for a secure distributed data platform runtime. Design Go-based concurrency, subprocess supervision, inter-service protocols, distributed persistence, and resilient processing pipelines. Debug complex cross-process and network issues, define testing standards, conduct end-to-end integration and resilience testing, participate in on-call rotations, and lead incident post-mortems. Collaborate with product, engineering, and customer stakeholders to refine requirements and deliver production-ready capabilities. Requires up to 25% international travel to the Middle East.

Build and maintain scalable backend services, APIs, and data flows for current and next-generation SaaS platforms. Guide backend architecture and service standards, resolve performance and reliability issues, and contribute to production AI and LLM capabilities. Mentor engineers through reviews and technical guidance, strengthen testing, observability, deployment, and operational practices, and collaborate with architecture, product, data, and platform teams on technical direction and delivery.

Develop scalable backend services, REST APIs, geoprocessing tools, integration services, and data pipelines supporting ArcGIS Enterprise and mission-critical geospatial applications. Build automation workflows and connectors, support cloud-native and on-premises deployments, and improve distributed-service reliability through testing, monitoring, and observability. Collaborate with platform, DevOps, and GIS teams to deliver secure, high-performance production solutions.