Top Backend Developer Jobs

Leads software engineering projects and developers building scalable, cloud-based backend and full-stack systems. Designs distributed microservices and omnichannel messaging platforms, collaborates with product managers, supports regulatory requirements, mentors engineers, evaluates code, and applies modern programming languages, databases, container orchestration, cloud services, Agile practices, and interactive AI tools.

Lead a team of software developers and oversee diverse technology projects involving distributed microservices, full-stack systems, and cloud-based solutions. Build robust applications supporting regulatory needs and customer experiences while using modern programming languages, databases, container orchestration, and cloud services. Mentor engineers, promote technology innovation, collaborate with product managers, and stay current with emerging trends. The role also involves people management, Agile practices, and leveraging AI tools to improve productivity.

Lead diverse software engineering projects and mentor development teams building distributed microservices and cloud-based solutions. Collaborate with product managers to deliver robust systems supporting regulatory needs and customer experiences. Use Java, Python, SQL, Node.js, Go, Scala, databases, Docker, Kubernetes, and AWS services while staying current with technology trends and contributing to engineering communities.

Build and maintain backend services, REST APIs, data layers, tests, and microservices for a SaaS platform. Responsibilities include debugging distributed production systems, managing PostgreSQL and advanced data stores, documenting APIs and data models, participating in Agile development and code reviews, and owning a platform domain. The role requires Java or Kotlin, Spring Boot, API design, database optimization, monitoring, security tooling, and AI-assisted development. Preferred experience includes Go, Neo4j, RabbitMQ, Redis, multi-tenant SaaS, event-driven systems, microservices, and containerization.

Design and scale highly available backend microservices processing global travel and expense transactions. Lead cross-functional technical initiatives, establish architecture and engineering standards, optimize APIs and event-driven systems, and ensure reliability through observability and production debugging. Mentor engineers, lead architecture reviews, and balance product delivery with long-term scalability and technical health.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Lead diverse technology projects and software developers building distributed microservices and cloud-based solutions. Collaborate with product managers, deliver robust systems supporting regulatory needs and customer experiences, mentor engineers, evaluate code, and stay current with technology trends. The role uses multiple programming languages, open-source databases and frameworks, container orchestration, and cloud services including AWS.

Lead diverse technology projects and mentor software developers while building robust cloud-based backend solutions. Collaborate with product managers, develop distributed microservices and full-stack systems, address regulatory needs, and use modern programming languages, databases, container orchestration, and cloud technologies. The role also involves evaluating code, promoting engineering best practices, staying current with technology trends, and supporting major digital transformation initiatives.

Lead backend software engineering initiatives and developers building scalable customer rewards redemption services. Drive architectural modernization toward microservices, collaborate with product, fraud, and customer experience teams, deliver cloud-based solutions, mentor engineers, evaluate code, and apply technologies including Go, Python, Java, SQL, Docker, Kubernetes, and AWS.

Lead the architecture, technical strategy, and implementation of Squarespace’s large-scale Communications Platform for email, push, and in-product notifications. Provide hands-on Java development, drive modernization and reliability improvements, mentor engineers, conduct design and code reviews, identify systemic risks, and influence cross-team architecture decisions while balancing delivery with long-term platform health.

Leads the design, development, and operation of scalable backend systems using Golang, AWS, Kubernetes, and Terraform. Defines architecture and technical standards, drives large-scale technical initiatives, ensures reliability and performance, partners cross-functionally, and mentors engineers. The role also involves building distributed microservices, managing cloud-native deployments, and delivering production systems end to end. Experience with video workflows, video analytics, or LLM-powered applications is preferred.

Lead design, development, and integration of backend systems for a large-scale video streaming platform. Build Java-based APIs and microservices, manage data and recommendation pipelines, handle video ingestion and metadata workflows, deploy services on cloud and Kubernetes, ensure performance, reliability, and test automation, and collaborate with product and operations teams to deliver scalable streaming solutions.

Design, build, and scale a multi-tenant AI Ops platform: develop high-throughput microservices, GraphQL/REST APIs, backend infrastructure, data systems, telemetry, and CI/CD deployments for operationalized ML/AI services.

Leads development of secure, scalable backend and full-stack applications for Asset and Wealth Management. Provides technical direction, writes and reviews production code, optimizes microservices, and promotes AI-assisted engineering practices. Collaborates with architects, designers, distributed teams, wealth managers, and stakeholders to deliver AWS-native solutions. Applies Agile practices, CI/CD, Java and Spring expertise, React-based UI development, relational databases, and high-availability architecture while presenting solutions and guiding technology adoption.

Build and scale Go backend services for agent quoting, configuration, and application submission. Partner with adjacent teams, resolve partner-specific edge cases, provide architectural leadership, write unit and integration tests, review code, and promote automation, CI/CD, and continuous improvement. The role expects daily use of AI coding tools and ownership of services across distributed systems and microservices environments.

Design, build, and maintain high-availability backend services and RESTful APIs using Python/Django and PHP. Own production deployments on Kubernetes/EKS and AWS, mentor junior engineers, produce technical documentation, define architecture, track performance metrics, and collaborate with stakeholders to deliver scalable ad-tech platform features.

Build and maintain scalable backend systems and APIs for high-volume, real-time sports betting applications. Own the full software development lifecycle, deliver production-ready features, resolve production issues, optimize performance and reliability, collaborate with product and engineering teams, and mentor peers. Requires backend development experience with C# or Java, cloud-based distributed systems expertise, automated testing proficiency, and strong object-oriented design knowledge.

Leads backend software engineering within an agile enterprise technology team. Designs, develops, tests, troubleshoots, and delivers secure, scalable Java and Spring microservices using REST APIs, RabbitMQ, Kafka, CI/CD, and relational databases. Reviews code, improves operational stability through automation, and promotes enterprise-approved AI-assisted development practices with secure validation standards. Leads engineering communities of practice and supports technology solutions across corporate business functions.

Lead a team modernizing a core Aladdin analytics and reporting service using scalable, API-first Java solutions. Design backend systems, data models, APIs, and integrations; collaborate with engineering, product, business, and clients; and oversee production delivery. Mentor junior engineers, apply AI-native development tools, and solve large-scale data challenges involving client-server systems, inter-process communication, relational and NoSQL databases, distributed caching, and high-performance services.

Architect and build production agentic AI systems for customer support and compliance automation. Lead technical direction for distributed systems, APIs, orchestration frameworks, guardrails, and evaluation systems. Create reusable automation primitives, improve grounding and reliability, reduce hallucinations, and mentor engineers on LLM application design and production readiness. Collaborate cross-functionally to scale AI automation across Coinbase.

Design and implement scalable backend systems for advisor payments, ensuring accuracy and performance, while collaborating with product teams to enhance user experience.

Lead development of scalable, resilient Identity Access Management software. Produce architecture and design artifacts, write/unit-test code, integrate telemetry/security, drive AI-assisted engineering adoption, mentor engineers, collaborate with product teams, and improve delivery/automation.

Design, build, and operate backend Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets across multiple chains. Own end-to-end delivery from smart contract deployment through API design, SLOs, and production rollout. Drive asset migration pipeline improvements, run on-call operations, build observability and runbooks, and mentor junior engineers.

Lead a team and portfolio to design and deliver cloud-native, distributed microservices and full-stack solutions for regulatory needs. Mentor engineers, collaborate with product managers, occasionally code and evaluate code, and use languages and tools like JavaScript, Java, TypeScript, Python, Go, SQL, Docker, Kubernetes, and AWS.

Lead a team and portfolio building resilient cloud infrastructure and distributed microservices. Collaborate with product managers, mentor engineers, design cloud-based observability and availability solutions, and implement containerized services using cloud platforms and data/distributed tools.