Top Backend Engineer Jobs in Austin, TX

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.

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.

In this role, you'll ensure the reliability and scalability of the NG-SIEM platform, manage incident responses, and collaborate across teams to enhance system performance.

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.

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.

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.

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.

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.

Design and scale foundational APIs and backend services for LogicGate’s multi-tenant GRC platform. Build distributed systems using Java/Kotlin, Spring Boot, AWS, databases, caching, and messaging technologies. Improve reliability, observability, performance, testing, and CI/CD practices. Lead technical design reviews, collaborate cross-functionally, mentor engineers, and use AI coding tools to improve development efficiency.

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.

Develop backend tools and systems that improve batch development, testing, workflow efficiency, and reliability. Collaborate with product, infrastructure, design, and analytics teams; break projects into deliverable phases; build scalable, well-tested code; monitor metrics; support system availability and on-call operations; debug code; conduct reviews; and contribute to engineering growth and hiring activities.

Design, build, and maintain scalable backend systems for a high-scale consumer dating platform using Kotlin and AWS. Own projects throughout the software development lifecycle, collaborate cross-functionally, apply AI-assisted development tools, contribute to architecture and engineering standards, and mentor junior engineers. Responsibilities include secure API design, distributed systems, microservices, cloud deployment, monitoring, CI/CD, containerization, and production support.

Design and maintain a high-performance Go and PostgreSQL document-rendering microservice at scale. Modernize a Ruby on Rails monolith into modular services, define architectural standards, improve reliability and observability, and lead testing, debugging, documentation, and root-cause analysis. Collaborate with infrastructure, DevOps, product, and architecture teams on deployment and automation while mentoring engineers and influencing technical direction.

Lead architecture, development, and operation of globally scaled payments and billing systems. Own subscription billing, payment providers, invoicing, reconciliation, security, compliance, reliability, and modernization. Use and advance AI-agent workflows for engineering, incident response, testing, and anomaly detection while enforcing strict human review and PCI safeguards. Mentor engineers, guide technical strategy, and collaborate with Product, Finance, Risk, Platform, and Analytics.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Leads the design, development, and maintenance of scalable backend services and distributed systems for GM Commercial Software. Builds customer-facing capabilities, improves code quality and engineering efficiency, contributes to architecture discussions, collaborates across product and engineering teams, explores new technologies, and mentors early-career engineers.

Develop and maintain backend services, APIs, server-side logic, and data structures. Collaborate with frontend developers and stakeholders, build and test features, implement security measures, document technical solutions, monitor system performance, troubleshoot issues, and support project planning. The role requires foundational backend programming, database, source control, and web integration skills.

Build and lead development of high-availability backend services for Affirm’s card loan platform. Design scalable APIs, data models, microservices, and event-driven systems supporting real-time loan attribution, approvals, origination, and refunds. Drive technical strategy, troubleshoot complex performance issues, collaborate with cross-functional teams, and mentor engineers while ensuring long-term system robustness and scalability.

Lead the design and delivery of complex backend systems, provide architecture guidance, develop scalable and reliable software, mentor engineers, prototype technologies, and collaborate with product, design, analytics, and engineering teams. The role involves evaluating technical trade-offs, applying software engineering best practices, and building cloud-based products and data platforms for real estate professionals and consumers.

Develop scalable and reliable backend software, participate in architecture and design reviews, prototype new technologies, and collaborate with product, design, analytics, and engineering teams. The role involves building APIs, backend services, dashboards, data pipelines, and AI-enabled products while applying testing, code review, documentation, and software engineering best practices.

Lead architecture and delivery of complex backend systems, develop scalable and reliable software, mentor engineers, evaluate technologies, and collaborate with product, design, analytics, and engineering teams. The role requires system-wide technical influence, self-directed problem solving, software development best practices, cloud experience, data platform knowledge, and proficiency with Python-based technologies, React, Node.js, GraphQL, and databases.