Top Software Engineer Jobs in San Antonio, TX

Design and build scalable frontend and backend features for route planning, routing, navigation, and route execution products. Partner with product, design, and engineering leadership to improve planner efficiency, leverage AI appropriately, and promote technical excellence. Mentor junior engineers, contribute to team growth, engage with customers, and help scale products across industries and customer verticals.

Develop, test, deploy, and support solutions for the ScriptMed Cloud Platform using C#, SQL, and scripting. Configure systems for customer onboarding and tenant creation, automate manual workflows, translate business requirements for distributed engineering teams, and collaborate on designs and troubleshooting. The role requires responsible handling of sensitive data, adherence to HIPAA and security policies, project ownership, documentation, and participation in an after-hours on-call rotation.

Leads full-stack software engineering and technical delivery for enterprise applications across the Microsoft .NET and Azure ecosystem. Designs scalable architectures, APIs, integrations, distributed and event-driven systems, and cloud-native solutions. Provides hands-on development, code reviews, troubleshooting, DevOps collaboration, CI/CD, production support, and operational improvement. Mentors engineers, coordinates technical delivery, manages risks and dependencies, and partners with Product, Architecture, Security, QA, and infrastructure teams.

Develop and integrate complex software applications as part of a Honeywell engineering team. Interns will contribute software features to products, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and collaborate with global teams while receiving mentorship and hands-on experience.

Software engineering intern supporting the design, development, integration, and enhancement of complex software applications. The role involves contributing to team goals, creating innovative solutions, developing high-quality features, applying software development lifecycle and configuration management practices, and collaborating with engineers. Interns receive mentorship, hands-on experience, relocation benefits, and short-term housing when eligible.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Build and scale a telemedicine platform using React, TypeScript, Python, Flask, and PostgreSQL. Own features through development, deployment, and launch; develop integrations; write tests; conduct design and code reviews; resolve production issues; and collaborate with Product, Design, and Quality teams in a Scrum environment. The role also involves mentoring engineers, improving development processes, and communicating technical decisions to nontechnical stakeholders.

Build and ship production software across the frontend and backend, working closely with founders, customers, and product teams. Develop AI-powered features and systems involving web scraping, unstructured data, PDF parsing, and cloud infrastructure. Translate real-world real estate and financing problems into technical solutions, make high-impact decisions, and own shipped code. The internship may convert to a full-time role.

Build and maintain responsive web experiences, PWAs, and native-feeling mobile apps; design secure APIs and third-party integrations; develop conversational AI bots and support automation; implement ad-tech, segmentation, push notifications, analytics, and A/B testing; and optimize performance, reliability, and uptime. The role requires full-stack development, cloud and DevOps fundamentals, and collaboration in a fast-paced startup.

Lead a small software engineering team supporting intelligence workflows. Build and maintain full-stack web applications, automate workflows, develop agentic AI tools, integrate data across agency elements, and support highside services. Engage directly with customers, leadership, analysts, and developers to understand mission needs, gather feedback, implement solutions, and deliver analytic and workflow support. Responsibilities also include relational database work, pipeline data processing, and cross-domain solution development.

Evaluates AI-generated software code for correctness, quality, architecture, and debugging performance. Creates challenging coding problems, reference solutions, and test cases, then reviews model reasoning and provides detailed technical feedback to improve AI performance on real-world software engineering tasks.

Lead architecture, development, scaling, and reliability for SingleStore Helios, a multi-cloud SaaS platform. Design Kubernetes operators, controllers, networking, routing, and distributed control planes across AWS, Azure, and GCP. Build resilient Go and Python systems, support AI and vector workloads, resolve complex Tier-3 production incidents, and maintain compliance controls. Mentor engineers, author architecture documents, and influence cross-functional technical strategy.

Build and operate reliable, maintainable software for appointment-based businesses. Own product and technical initiatives from design through production, collaborate with Product and Design, contribute to architecture, and develop frontend, backend, or full-stack systems. Ensure quality through testing, code review, observability, and production support while mentoring engineers and improving development practices with AI-assisted tools.

Build and operate high-volume AWS data pipelines and bidirectional CRM integrations for educational fundraising systems. Design idempotent consumers, incremental synchronization, rate limiting, replay, migrations, monitoring, and partner-facing APIs. Collaborate with product, partner, data science, and CRM teams while improving AI-assisted engineering practices. Own major system components or end-to-end architecture, depending on level, and mentor teammates at the higher level.

Build and maintain full-stack donor-facing giving forms, payment flows, recurring giving, memberships, and administrative tools. Own projects from architecture through production support, ensuring reliability, accessibility, performance, and data integrity. Collaborate with product managers, designers, and engineers; mentor junior engineers; contribute to technical standards, security monitoring, hiring, and rotational on-call support. Potentially serve as a Tech Lead for roadmap implementation and technical decision-making.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Lead a portfolio company’s engineering function by writing production code, modernizing the software development lifecycle, coaching engineers, setting the product roadmap, and implementing AI-powered development and product capabilities. The role requires rapidly learning unfamiliar technology stacks, improving legacy codebases without rewrites, operating independently, and partnering closely with general managers, operators, and customers.

Lead development of full-stack, mission-critical products using Angular, React, Node.js, and AWS serverless technologies. Own projects from product definition through deployment, integrate GraphQL APIs and machine learning systems, improve developer experience and CI/CD, collaborate with clinicians and researchers, participate in customer discovery, and mentor engineers while shaping technical architecture and engineering culture.

Lead architecture and hands-on development of Azure Kubernetes Service capabilities for AI workloads. Design secure, reliable, scalable distributed systems; coordinate engineering teams; define testing and deployment strategies; improve observability and operational readiness; investigate production issues; and mentor engineers while advancing engineering practices.

Design, develop, and maintain scalable full-stack web applications using Java, JavaScript, modern frontend frameworks, REST APIs, databases, and AWS services. Build secure backend services, responsive interfaces, and reliable cloud deployments. Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, troubleshoot issues, and improve application performance and quality. The role requires an active Secret clearance, with TS/SCI preferred.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.

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.

Build and scale developer platform capabilities, AI-powered coding and review tools, CI/CD systems, Kubernetes infrastructure, and self-service developer workflows. Improve reliability, security, observability, and delivery speed through automation, reusable templates, guardrails, documentation, and incident-response practices. Collaborate closely with platform teammates, contribute to roadmap decisions, and communicate clearly about progress, blockers, and technical tradeoffs.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.