Top Software Engineer Jobs in San Antonio, TX

Design, build, operate, and maintain petabyte-scale Product Metrics systems that store and serve trillions of records. Ensure performance, reliability, availability, and cost-efficiency; deliver features, mentor teammates, participate in on-call rotation, and collaborate across teams to support billing, dashboards, and customer analytics.

Own and build full‑stack, growth-focused product experiences across the funnel (acquisition, activation, retention, monetization). Ship experiments, measure outcomes with analytics, iterate, and establish reusable infrastructure while collaborating with product, design, and data teams. Drive technical execution and lead end-to-end growth initiatives in a remote, product-led SaaS environment.

Design, build, and maintain backend services and APIs in Go; optimize PostgreSQL schemas and queries; create reliable integrations and orchestration layers; implement observability and security best practices; collaborate across engineering and product to improve developer experience and operate a SaaS platform.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

Build and maintain React/TypeScript UI components, pages, and data visualizations for a security/compliance platform. Extend component library, optimize performance for large datasets, implement real-time updates, collaborate with designers, backend engineers, and customers to ship high-fidelity, production-ready interfaces.

Lead design and implementation of scalable backend solutions, collaborate on requirements and specs, troubleshoot complex technical issues, conduct and lead code reviews, ensure rigorous automated testing, leverage AI tools to improve workflows, and support high-volume transactional processing.

Design, develop, and operate end-to-end SAP Integration Suite/CPI scenarios connecting S/4HANA and non‑SAP systems. Build iFlows, Groovy/Java scripts, configure adapters, implement security, migrate PI/PO interfaces, optimize performance, document designs, and provide post-go-live support and knowledge transfer.

Design and build production-grade Salesforce solutions using Apex, LWC, Flow, and integrations. Implement automation, complex data models, sharing/security, CI/CD, and performance optimizations. Troubleshoot production issues, participate in code reviews, and collaborate with admins, architects, and product owners to deliver scalable, maintainable platform solutions.

Design, develop, and support custom ABAP enhancements, integrations, and reports in S/4HANA. Build CDS views, AMDPs, OData services, and HANA-optimized code, perform performance tuning, support upgrades/conversions, and mentor junior developers while collaborating with functional teams and stakeholders.

Design, build, and maintain low-latency, high-availability backend services and REST APIs. Troubleshoot production issues, improve performance, write technical specs, participate in on-call rotations, and collaborate on the bot runtime platform.

The Solutions Engineer will support the integration of Near Intents, assist developers, enhance product stability, and provide technical support to ecosystem partners.

Design, implement, and govern ServiceNow platform capabilities for enterprise ITSM and operational workflows. Lead architecture, development, integrations, and a large data migration from a legacy system. Provide technical leadership, platform administration, performance/security optimization, testing and cutover support, documentation, and stakeholder collaboration to ensure secure, scalable, and mission-aligned ServiceNow operations.

Lead design, develop, and maintain scalable full-stack web applications. Mentor engineers, perform code reviews, troubleshoot production incidents, optimize performance, ensure API-first design, support cloud-native deployments (Kubernetes), and participate in on-call rotations.

Provide expert software engineering to improve and optimize codebases used for AI training: bug fixes, feature development, refactoring, performance tuning, architecture recommendations, documentation, and cross-functional collaboration to support scalable AI training workflows.

Evaluate and solve real-world backend, full-stack, systems, and infrastructure engineering tasks. Review, debug, and improve code across environments; design and assess APIs, databases, services, testing, and deployment workflows; identify tradeoffs around scalability, reliability, performance, security, and developer experience; communicate technical reasoning clearly and collaborate with customer teams.