Top Software Engineer Jobs in San Antonio, TX

Seeking a Senior DevOps Engineer for OpenSesame, focusing on CI/CD pipelines, cloud infrastructure, and automation. Responsibilities include improving developer experience and mentoring teams.

Design, build, and operate high-scale distributed observability systems for telemetry ingestion, processing, storage, autoscaling, and service provisioning. Own platform reliability, performance, capacity, and cost efficiency; participate in on-call rotations and resolve incidents through root-cause fixes. Develop automation, identify architectural bottlenecks, contribute to technical roadmaps and design reviews, and collaborate with infrastructure, product, and engineering teams.

Develop and maintain a telemedicine platform using React, TypeScript, Python/Flask, and PostgreSQL. Responsibilities include designing, implementing, testing, deploying, debugging, and supporting software across the full lifecycle; building accessible web interfaces; integrating APIs and third-party services; reviewing code and designs; documenting technical decisions; improving scalability and maintainability; collaborating cross-functionally; and mentoring engineers.

Build and deploy full-stack product features across user interfaces, APIs, and cloud environments. Design, develop, test, debug, maintain, and support scalable software tailored to aviation and defense operational technology needs. Contribute to architecture, security, compliance, and quality standards while mentoring peers and participating in Agile development. Required experience includes JavaScript or TypeScript, a modern frontend framework, Go, REST APIs, AWS, Docker, CI/CD, and SaaS product development.

Develop high-quality, performant, accessible consumer-facing experiences for Netflix’s iOS app using Swift and GraphQL. Responsibilities include building maintainable code, automation, documentation, server-driven UI infrastructure, and ad experiences. Collaborate with product managers, designers, and engineering teams to scope projects, refine interfaces, design scalable solutions, and balance business, product, and architectural trade-offs.

The role involves full-stack software development, adhering to Agile practices, and collaborating across teams. Responsibilities include coding, testing, and maintaining software systems while mentoring team members.

Develop and maintain backend features for Cribl Edge data collection agents running across Windows, Linux, and macOS. Design scalable, reliable software for hundreds of thousands of nodes, collaborate with product and UX teams, write automated tests, troubleshoot production issues, and support SaaS products through on-call rotations. The role requires TypeScript and Node.js development, cloud and container experience, operating-system knowledge, and experience with data-intensive applications or stream processing.

Build and maintain full-stack monetization features across web and mobile, including enrollment flows, paywalls, subscriptions, reactivation, and marketing integrations. Collaborate with Product, Design, Marketing, and Data teams to run experiments and optimize revenue. Instrument features, monitor production systems, use AI-assisted development tools, and apply strong testing and software engineering practices.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

Lead design and delivery of full-stack, AI-powered products and platform capabilities. Own technically complex, mission-critical areas end-to-end, partner with product and customer teams, scale data ingestion and APIs, and mentor engineers to raise engineering quality and velocity.

Lead technical strategy and delivery for mobile app infrastructure, owning shared components (design system, networking, CI/CD, observability, releases, tooling). Collaborate cross-functionally, set code/design standards, ensure operational readiness and on-call processes, mentor engineers, and drive large, business-impacting projects and migrations across the JS↔native boundary.

Lead design, build, and deploy scalable, reliable Java-based microservices in a cloud-native, event-driven AWS environment. Own backend feature design, code quality, automated testing, and FedRAMP release processes. Mentor engineers, participate in on-call/TechOps, integrate AI tools into development, and drive architecture, observability, and cross-team initiatives.

Develop and support secure payment solutions across Ingenico EMV terminals, .NET backend services, Android integrations, processor gateways, tokenization, and mobile wallets. Implement payment workflows, device management, webhooks, settlement, reconciliation, and reporting. Participate in EMV Level 3 certification, regression testing, production troubleshooting, and reliability improvements while collaborating with internal teams and external processors.

Lead technical strategy and execution for a backend ledger team building highly available, audit-grade financial systems. Drive architecture, reliability, monitoring, on-call practices, code quality, cross-functional collaboration, and mentoring to ensure accurate, scalable ledger operations.

As a Staff Software Engineer at Samsara, you will lead and develop a high performing team, champion company culture, and contribute to the development of IoT platform solutions.

You will design and maintain backend services for fulfillment operations while leading technical design, mentoring others, and addressing systemic issues in software systems.

Work on backend and frontend features for a waste-management SaaS: build Java/Spring Boot services, React UI, work with PostgreSQL/PostGIS, debug production, write tests, collaborate with Customer Success, participate in on-call rotation, and adopt AI-assisted development tools.

Build and maintain intuitive frontend web applications for data upload, search, visualization, and interactive 2D/3D geospatial tools. Collaborate with scientists to design complex visualizations, modernize the frontend stack, mentor junior developers, and implement automated UI testing and deployment pipelines.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Own and ship full-stack product features in weekly cycles: scope solutions, build backend services and UIs, use AI tooling for development, ensure code quality and production readiness, measure impact, and communicate with stakeholders.

Build end-to-end fullstack features for Threat Narrative and Email Details, implementing backend APIs, data models, and React/TypeScript UIs. Integrate GenAI/LLM systems to generate explainable narratives, own SLAs/SLOs and observability, participate in design/code reviews, and collaborate with product and cross-functional partners to improve detection explainability and customer-facing experiences.

Leads the architecture, design, implementation, testing, and delivery of backend software for Slate’s digital customer experience. Owns code quality, system reliability, functional and integration testing, and technical decision-making. Collaborates with UX and product teams, leads code and design reviews, simplifies complex solutions, and mentors engineers while supporting career development.

Design, build, and scale backend services, microservices, APIs, and secure cloud applications for physical AI solutions. Integrate AI models and data pipelines, manage infrastructure across AWS, Azure, or GCP, implement testing and CI/CD practices, support real-time data systems, and mentor junior engineers. The role also requires front-end development with React and JavaScript, SQL database work, data visualization, production deployments, and frequent client-site travel.