Top Software Engineer Jobs in San Antonio, TX

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality, use Python for supporting work, and apply AI coding tools such as Claude Code for development, testing, and debugging. Collaborate on design decisions and code reviews, troubleshoot issues, and support application deployment and maintenance across cloud environments.

Develop full-stack enterprise applications and microservices using Java, Spring Boot, REST/OpenAPI, relational databases, JMS, and Kafka. Build automated tests, Docker containers, Kubernetes deployments, CI/CD pipelines, API portals, and React or Angular interfaces. Troubleshoot application, database, messaging, and cloud-native infrastructure issues while applying secure coding, API governance, observability, and event-driven architecture practices. The role supports federal civilian programs remotely during East Coast hours, requires U.S. citizenship, quarterly travel, and either Public Trust eligibility or an active Secret clearance depending on program.

Own and build Hercules’ billing, payments, subscriptions, usage-based billing, monetization, and commerce infrastructure. Integrate payment providers, support currencies and payment methods, and design reliable, low-latency systems with webhook processing, retries, reconciliation, and scalable usage metering. The role requires strong system design, architecture, data modeling, API design, code quality, product judgment, and proficiency with Hercules’ TypeScript-based stack, including React, Postgres, Redis, containers, and Temporal.

Design, build, test, deploy, and scale full-stack SaaS features across Angular and backend services using Spring. Develop APIs, optimize relational and NoSQL databases, integrate third-party systems, improve performance, support cloud infrastructure and CI/CD, implement security practices, monitor services, resolve incidents, and contribute to architecture and agile development.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

Design and implement backend features in Go, build data pipelines and REST APIs, work with PostgreSQL and AWS, contribute to scalable system design, and optionally develop React.js user-facing features while collaborating in a fast-paced AI-focused startup.

Design, develop, test, and maintain backend systems and APIs for ingesting, processing, and routing large-scale telemetry data. Own end-to-end features, contribute to architecture and internal tools, write automated tests, participate in on-call/support rotation, and collaborate with cross-functional teams to deliver scalable, high-performance distributed systems.

Support and evolve Microsoft Dynamics 365 Project Operations and Customer Engagement platforms. Configure Dataverse and model-driven Power Apps, develop Power Platform enhancements, administer security, support integrations, troubleshoot technical issues, manage ALM deployments, and coordinate releases across environments. The role also translates business requirements into maintainable solutions, documents systems, supports product updates, and collaborates with stakeholders and technology partners.

Leads solution engineering and customer support operations for a digital health data platform. Responsibilities include building distributed engineering and support teams, leading technical pre-sales, designing customer data solutions, managing architecture and handoffs, owning post-launch support and incident resolution, establishing SLAs and operational metrics, overseeing vendors and budgets, and partnering with Product and Platform Engineering to improve reliability and reduce support demand.