Top Backend Engineer Jobs in Austin, TX

Lead the design and delivery of complex backend software systems, providing architectural guidance, mentoring engineers, and developing scalable, reliable solutions. Collaborate with product, design, analytics, and engineering teams; prototype emerging technologies; evaluate technical trade-offs; and drive initiatives independently. The role involves backend development across real estate products and platforms, with opportunities to use cloud systems, data pipelines, AI, and machine learning.

Design, build, and operate Python backend services, APIs, databases, and labeling pipelines for massive autonomous vehicle sensor datasets. Own systems from ingestion through delivery, integrate vendors and internal tools, develop validation and quality monitoring, improve human labeling with ML automation, and collaborate with ML and perception teams. Lead technical design, review code, mentor engineers, and support production reliability through deployment, monitoring, and on-call responsibilities.

Leads technical direction for Venmo’s Consumer Financial Services backend platform. Designs and ships secure, scalable distributed systems for authentication, authorization, verification, and fraud risk. Establishes engineering standards, leads architectural reviews, mentors senior engineers, and coordinates multi-team initiatives. Partners with Product, Legal, Compliance, and Security to implement KYC, AML, GDPR, and PCI requirements. Owns service performance, availability, incident support, and technical strategy across the organization.

Design, develop, test, deploy, and support scalable backend services, APIs, integrations, and cloud-enabled software for a regulated wealth custody and clearing platform. Collaborate across product, architecture, operations, risk, and compliance; participate in design reviews and Agile delivery; troubleshoot production issues; ensure security, resiliency, observability, data integrity, and operational readiness; and mentor junior engineers.

Lead backend engineering strategy for Affirm’s search and recommendation platform. Design and launch highly available distributed systems, guide technical architecture and execution, improve team operations and reliability, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on search, recommendations, consumer shopping experiences, monetization, and scalable platform foundations.

Develop and scale backend streaming and data infrastructure using Kafka, Flink, AWS, Kubernetes, and related technologies. Break down projects, deliver tested software, collaborate with product and engineering teams, monitor system availability, participate in on-call support, debug code, conduct code reviews, and contribute to team development.

Leads architecture, development, and operation of Python-based AWS backend and IoT services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, databases, device communication, and infrastructure as code. Provides hands-on technical leadership through coding, design and code reviews, mentoring, cross-functional planning, security practices, testing, CI/CD, monitoring, incident response, and roadmap development.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include database control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and operational support. The role also leads technical delivery, mentors engineers, establishes quality standards, collaborates cross-functionally, and contributes to team roadmap and on-call operations.

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.

Principal frontend-focused software engineer responsible for leading frontend architecture, standards, tooling, accessibility, performance, testing, and deployment practices. The role delivers scalable customer-facing web applications, component libraries, and design systems using React or Angular. It includes cross-functional product collaboration, technical decision-making, mentoring, modernization initiatives, and occasional full-stack work. The position is remote, requires U.S. citizenship, Public Trust 6C eligibility, and approximately 0–10% business travel.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Design and build scalable backend services and APIs for a real estate software platform. Develop clean, maintainable Java code on AWS, collaborate with frontend, design, and product teams, and solve performance and scaling challenges. The role requires strong problem-solving skills, debugging ability, data structures and algorithms knowledge, startup experience, and comfort using AI-assisted coding tools.

Build and maintain backend services, REST APIs, cloud workspace provisioning systems, and resource orchestration infrastructure. Improve performance, reliability, scalability, and security while developing integrations, SDKs, and developer tools. Contribute to architecture and ship features from concept to production. The role requires strong TypeScript, JavaScript, and Node.js skills, backend and database knowledge, and familiarity with Docker, Linux, and cloud infrastructure.

Develop and maintain Ruby on Rails backend systems supporting solar development, value evaluation, and loan servicing. Responsibilities include writing and reviewing code, maintaining CI/CD pipelines, solving complex domain problems, collaborating with Product and company experts, shaping architecture and technical direction, and improving engineering processes as the company scales.

Design and maintain scalable backend systems in a distributed microservices architecture. Build RESTful APIs, integrate third-party vendors, optimize SQL and NoSQL databases, and implement messaging, observability, CI/CD, and cloud infrastructure practices. Lead engineering initiatives from requirements through delivery, contribute to technical strategy, document systems, and improve reliability, performance, and scalability across user-facing applications.

Build and ship healthcare software across the frontend, APIs, and databases. Own features end to end, write tested and maintainable code, prototype with patients and care teams, and use AI tools such as Cursor and Claude Code in daily development. Design scalable systems, improve performance, accessibility, and reliability, and contribute to trustworthy automation in a fast-paced startup environment.

Build, architect, and own moderate-to-complex backend components; lead small teams or projects; provide technical guidance and code reviews; deliver end-to-end backend services focused on AI-enabled customer data insights, onboarding, messaging/calling features, and scalable data management for a growing user base.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Design and scale production-grade asynchronous backend systems in Python, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Build schemas and migrations, optimize relational databases, instrument services, and own CI/CD from testing through deployment. Establish AI governance around code review, provenance, licensing, security, compliance, and customer data. Drive architecture and product ideas from conception through production.

Build and operate the backend platform for autonomous cybersecurity agents, including durable workflow execution, tool and connector frameworks, safe-change pipelines, tenant isolation, ETL, GraphQL services, observability, audit trails, and distributed systems. Partner with AI researchers and security engineers to productionize agent capabilities across customer environments while enforcing authorization, rollback, quotas, and data protection.

Design, build, and operate scalable backend services for payments, cards, spend management, and compliance. Develop production-quality services and APIs, optimize databases, integrate AI and third-party APIs, and implement secure event-driven architectures. Own features from design through deployment and monitoring, contribute to reliability and CI/CD improvements, participate in on-call rotations, and collaborate with globally distributed engineering, product, compliance, and data teams.

Design and develop scalable backend systems using Kotlin, Micronaut, and Spring. Build RESTful APIs, optimize PostgreSQL and Elasticsearch databases, implement RabbitMQ-based asynchronous processing, integrate AI tools, and create automated tests. Deploy and monitor services on GCP using Docker, Kubernetes, and Terraform. Collaborate cross-functionally, participate in code reviews, troubleshoot performance issues, and deliver reliable backend products.

Design, build, and maintain backend services and APIs using Ruby on Rails. Improve performance, scalability, reliability, and write well-tested production code. Collaborate with Product, Frontend, Data Engineering, and QA teams.

Design, build, test, and support EPIC integration solutions across the full interface lifecycle. Gather requirements, resolve integration issues, develop standards and documentation, and provide production support within a remote, volunteer, part-time setup.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.