Top Software Engineer Jobs in San Antonio, TX

Serve as the senior technical engineer on a delivery team, writing production code, shaping architecture, mentoring engineers, diagnosing complex issues, and owning software quality and reliability. Build TypeScript and JavaScript applications using Node.js, Express, React, PostgreSQL, REST APIs, testing, and observability. Modernize legacy systems, manage integrations and data synchronization, and use AI tools and automation to improve engineering workflows and delivery.

Architect and refine scalable cloud infrastructure software for enterprise and internet-scale environments. Responsibilities include developing robust software, designing systems supporting 1,000+ nodes, optimizing performance, and collaborating with distributed technical teams in agile environments.

Lead architecture and delivery across Rails backends and React frontends, build Node.js and NestJS platform integrations, establish testing and code-quality standards, mentor engineers, review code, and improve reliability, performance, and developer experience. The role requires technical ownership across multiple backend technologies and leadership in AI-assisted development practices.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous, opinionated feedback distinguishing response quality levels and help define best practices for tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires strong software engineering expertise, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without deeply reviewing or executing every line.

Design, develop, and implement scalable software solutions and modern applications for consumer banking. Collaborate in an Agile environment, contribute to architectural and design decisions, build distributed service-based components, and incorporate scalability, manageability, and maintainability. The engineer will work across multiple initiatives, collaborate with teammates, mentor engineers, and help deliver consumer-facing products.

Lead architecture, development, and long-term direction of Twilio's Android Voice and Video SDKs. Maintain WebRTC/SIP/C++ layers, improve CI/CD and build pipelines, ensure cross-platform convergence, raise code quality and test coverage, mentor engineers, triage customer issues, and own developer experience and SDK reference apps.

Lead architecture, development, and long-term direction of Twilios Android Voice and Video SDKs. Own SDK roadmap, maintain WebRTC/C++ layers, improve CI/CD and build pipelines, enhance test coverage and reference apps, triage customer issues, and collaborate cross-platform while mentoring engineers and documenting best practices.

Develop, configure, test, and troubleshoot Oracle CPQ Cloud solutions (BigMachines). Participate in design sessions, build prototypes, manage integrations, perform unit testing, debug BML libraries, support production, and mentor junior staff.

Lead V&V for PlusAI's autonomous driving stack by creating and executing on-vehicle test plans, running closed-course and field tests, debugging Linux/ROS/C++/Python systems, supporting planning or safety MCU development, and producing tooling and documentation to improve operations.

Backend engineer on the Customer Purchase Service platform building secure, scalable services to manage unified purchase data across channels. Collaborates with product, UX, and engineering to deliver features, create dashboards/monitoring, automate infra and tests, perform resiliency testing, and participate in agile planning and continuous learning.

Build and maintain full-stack features across Ruby on Rails, React, and Flutter. Own work from architecture through production deployment, translate ambiguous user needs into pragmatic solutions, make architectural decisions, improve reliability and performance, address technical debt, resolve production issues, mentor teammates, and help establish engineering standards in a remote-first startup environment.

Build and maintain full-stack features across Ruby on Rails, React, and Flutter. Own work from architecture through production deployment, translate user needs into pragmatic solutions, make architectural decisions, improve reliability and performance, address technical debt, resolve production issues, mentor teammates, and help establish engineering standards in a remote-first startup.

Develop, test, deploy, and maintain software by collaborating with cross-functional teams. Write clean code, create verification and QA plans, debug and upgrade existing systems, integrate RESTful APIs, use version control, and document functionality. Evaluate user feedback and support deployments.

Work on frontend, backend, full-stack, or data/platform engineering to design, build, and operate high-scale systems and AI-enabled user experiences. Responsibilities include building distributed backends, data pipelines, performant UIs, integrating AI features, owning projects end-to-end, and collaborating cross-functionally to deliver production-quality software.

Build and maintain full-stack features across Ruby on Rails, React, and Flutter. Own architecture, development, deployment, reliability, and performance of critical systems. Translate user needs into pragmatic solutions, address technical debt, mentor teammates, contribute to engineering standards, and resolve production issues. The role requires strong backend expertise, database knowledge, security awareness, startup adaptability, and product-minded ownership.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Pair with engineers to embed agentic practices, own systems end-to-end, participate in AI-augmented reviews, and judge agent use versus human intervention.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Own systems end-to-end, pair with engineers to transfer agentic practices, perform AI-augmented code reviews, and judge when to trust or intervene with agent outputs.

Deliver production features and AI-powered modernizations using agentic development. Build and operate multi-agent workflows, pair with engineers to transfer agentic practices, validate agent output, maintain software quality, meet sprint commitments, reduce backlog, and produce scalable, well-documented code.

Design, build, and own operator services that provision, repair, and manage bare-metal GPU servers. Implement secure, extensible code across firmware, imaging, DPU initialization, and network configuration. Operate and monitor GPU fleets at scale, serve on-call rotations to resolve incidents, and apply AI tools across the SDLC while driving automation, telemetry, and reliability improvements.

Build and improve Fleet and Streams UI in Kibana using TypeScript, React, and Node.js. Own end-to-end features, lead architecture and design discussions, enforce coding standards and testing, conduct code reviews, and collaborate asynchronously with designers and product managers to deliver intuitive, scalable user interfaces for log and agent management.

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.

Develop distributed, production-grade microservice systems and scalable data-processing infrastructure on Linux. Lead service mesh, contract-first API, gRPC, and Protocol Buffers initiatives; design fault-tolerant architectures and observability systems; operate containerized distributed platforms; and mentor junior and mid-level engineers. The role also emphasizes AI-assisted development, technical communication, and documentation, with preferred experience in industrial automation, monorepos, real-time processing, edge computing, and infrastructure as code.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Design, build, and operate scalable, highly concurrent backend services in Go. Architect distributed, fault-tolerant systems, optimize performance and reliability, define APIs and service boundaries, improve observability and operational readiness, and collaborate cross-functionally to support mission-critical autonomous deployments.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.