Top Software Engineer Jobs in San Antonio, TX

Design and own AI-agent-driven test workflows and the automated verification framework. Build test context, select models and tooling, validate AI-generated code and tests, operate test automation across UI/API/mobile/data, ensure security and compliance, mentor teams, and continuously improve agent orchestration and observability.

Lead architecture and development of high-performance, scalable backend systems for Yahoo Mail using Java and C++. Set technical strategy, establish architectural standards, validate AI-generated code, mentor senior engineers, collaborate cross-functionally, and ensure reliability through automated logging, telemetry, and debugging workflows.

Extend and harden Ocient's native geospatial engine: implement and optimize 120+ spatial functions, ensure spherical/geodetic numerical correctness, improve spatial indexing and query performance at trillion-row scale, deepen spatiotemporal operators (trajectory/interpolation), integrate geospatial features with the analytical engine, and produce design docs, tests, and benchmarks.

Design and implement scalable, high-performance web applications and microservices for a distributed content management SaaS platform. Collaborate in a cross-functional Scrum team, influence architecture, tune for scale, troubleshoot cross-browser/platform issues, mentor junior engineers, and deliver production-quality code.

Lead technical strategy and architecture across multiple engineering teams, drive platform and developer productivity, promote engineering best practices (quality, reliability, security, observability), advance AI-enabled engineering, mentor senior engineers, and contribute hands-on to complex distributed systems, integrations, and cloud-native solutions to improve organizational engineering outcomes.

Lead design and delivery of cloud-native, distributed full‑stack systems; own end-to-end projects and incident response; mentor engineers; write ADRs and RFCs; optimize performance and apply secure SDLC and AI‑augmented development practices.

Lead technical design and delivery of complex, scalable SaaS features using AI-assisted development. Own specification quality, implement and review AI-generated code, design REST APIs, mentor engineers, and drive cohort-wide standards for architecture, testing, and DevOps practices.

Design and deliver complex, scalable SaaS features end-to-end using AI-assisted development tools. Own specifications, implement and review AI-generated and human code, build REST APIs, maintain UI and backend services, drive AI-assisted workflows, and mentor cohort engineers on tooling, spec writing, and best practices.

Design, implement, and optimize high-performance backend services and APIs in Go. Architect scalable, fault-tolerant distributed systems using Kafka for large-scale data processing and streaming. Collaborate with product, frontend, and data teams; monitor and profile systems for performance and reliability; drive engineering best practices; and mentor junior engineers.

Develop, test, and maintain production-quality C++ software implementing Government Reference Architectures for mission-critical defense systems. Translate MBSE (SysML/Cameo) artifacts into interoperable components, implement APIs/ICDs, integrate distributed messaging frameworks (ActiveMQ/DDS/ZeroMQ), and maintain CI/CD, automated testing, containerized builds, and static analysis. Collaborate with systems engineers, architects, autonomy engineers, and government stakeholders to validate interoperability and performance.

Develop and integrate open-architecture, standards-based software for defense and aerospace systems. Implement and map interoperability standards (SOSA, FACE, AMS GRA, UCI), work with serialization formats (OMG IDL, protobuf, XSD, XMI), perform structural and semantic gap analysis, support interface/data model transformations, collaborate with multidisciplinary teams, produce documentation and interface specifications, and participate in architecture and design reviews.

Develop systems software to parse, reverse-engineer, and deterministically generate complex engineering data. Build tooling for schema translation, compiler/transpiler solutions, reproducible CI/CD pipelines, and automated document generation. Collaborate with multidisciplinary teams, support verification/validation, and apply MBSE concepts for engineering integration.

Lead cross-product engineering work: design APIs and data models, turn ambiguous customer problems into technical plans, implement and roll out features across web, APIs, CLI, integrations, and infra, debug production issues, and raise engineering quality through docs, reviews, and mentorship.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly collection/analysis, visualization and root-cause tools, failure classification and monitoring frameworks. Extend compilers, runtimes and programming interfaces for profiling and instrumentation, improve bring-up and low-level debug workflows, lead cross-functional initiatives, support incident response, and establish debuggability and reliability best practices.

Design and build scalable front-end components and related tooling, write automated tests, review peers' code, mentor junior engineers, collaborate with product, design, and DevOps on deployments and infrastructure, and ensure performance, reliability, security, and accessibility for classroom users.

Lead frontend development of production web applications using Svelte and other frameworks. Build reusable components, integrate REST/GraphQL APIs, ensure UI/UX quality, accessibility, and performance. Lead a small team, coordinate releases with QA, write tests, follow Git and CI/CD workflows, and collaborate remotely with stakeholders across the US.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Lead backend architecture and implementation for scalable, reliable cloud-hosted web products. Mentor engineers, set standards, integrate agentic AI coding tools, design systems applying ML to large datasets, and balance customer-facing features with technical debt and performance.

Build data-rich, operational UIs for managing individual assets and fleets of autonomous and unmanned systems in distributed, bandwidth-constrained environments. Integrate frontends with backend APIs and platform services, handle complex asynchronous state, apply secure cloud-native deployment practices, and collaborate with cross-functional teams to deliver mission-focused software.

Lead full-stack engineering for a B2B partner portal: design and deploy React/TypeScript front ends, .NET services, and Python data pipelines (Databricks). Integrate LLMs and agentic development into product and workflows, mentor engineers, ensure quality engineering practices, and resolve production issues end-to-end.

Lead design, implementation, and maintenance of scalable backend systems and services. Improve performance, reliability, and deployments; operate production systems (incident response rotation); conduct code reviews; mentor engineers; collaborate with product, sales, and customers.

Lead platform engineering focused on identity, authentication, and authorization across scalable, resilient backend services. Drive architecture, full‑stack TypeScript development, CI/CD automation, testing, on‑call service ownership, and mentor junior engineers while collaborating with cross‑functional teams to deliver cloud, hybrid, and on‑prem deployments.

Design, build, and maintain scalable control-plane features for Cribl Stream to deploy, configure, and orchestrate distributed nodes. Collaborate with cross-functional teams to implement production APIs, automated tests, and reliability improvements. Participate in on-call rotations, incident response, and SaaS operations while using AI-assisted tools to improve development and operational efficiency.

Design, build, and maintain scalable, secure backend services powering bank accounts, cards, and payments. Own distributed systems, design data models across SQL/NoSQL, build RESTful APIs, improve reliability and observability, participate in code reviews, and collaborate with cross-functional teams to deliver secure, maintainable solutions for millions of users.

Design, implement, and operate low-latency, high-throughput C++, Go, and Python services for real-time sensor ingestion, tracking, inference, and data pipelines. Build IPC/messaging interfaces, optimize data structures and Protobuf serialization, deploy containerized services on Kubernetes (Argo/Helm) in GCP, and implement observability, testing with historic/simulated data, and end-to-end O&M.