Top Software Engineer Jobs in San Antonio, TX

Build and scale high-performance iOS and Android apps with Expo/React Native. Implement native integrations, smooth UIs and animations, automated tests, performance fixes, and collaborate with backend, design, and product teams using AI-assisted workflows.

Lead the design, development, integration, and maintenance of core third-party administrator systems supporting healthcare eligibility, claims, provider management, and member services. Collaborate with architecture, QA, data, operations, and vendor teams to resolve technical challenges, improve performance, modernize systems, and implement secure integrations using APIs, EDI, cloud technologies, relational databases, and DevSecOps practices. Ensure compliance with HIPAA, PHI/PII handling, and federal security requirements.

Build and scale Cresta’s no-code conversation intelligence platform across the frontend and backend. Responsibilities include creating visual workflow editors, backend services and APIs, data models, storage layers, and scalable systems using React, TypeScript, Python or Go, Postgres, ClickHouse, and Elasticsearch. Collaborate with product, design, and AI/ML teams to deliver intuitive experiences for non-technical users while improving performance, reliability, security, and maintainability.

The Principal Database Engineer manages the Oracle Exadata platforms, oversees database architecture and engineering, optimizes costs, and supports AI and analytics initiatives. They lead performance engineering, licensing strategy, and cloud integration, ensuring operational excellence and mentorship for technical teams.

Volunteer WordPress Developer to migrate and maintain a content library, build new features, and create custom themes, plugins, and widgets. Work remotely for ~5+ hours/week, attend weekly meetings, and respond within 24 hours to support an active nonprofit volunteer team.

Design, develop, test, deploy, monitor, and support enterprise integrations using the Boomi platform. Connect systems such as NetSuite, SAP, D365, Workday, Salesforce, and other applications through APIs, EDI, databases, files, messaging, and cloud services. Perform data transformation, error handling, optimization, troubleshooting, documentation, and production support. Lead integration workstreams, manage deliverables and deployments, conduct code reviews, define reusable standards, collaborate with stakeholders, and mentor junior developers.

Principal Software Engineer responsible for expert-level coding, system architecture, technical strategy, code quality, SDLC improvement, and enterprise-scale modernization. Designs distributed systems and API integrations, governs architectural change, drives resiliency, security, observability, and performance standards, and influences stakeholders across multiple teams. Mentors engineers, leads technical initiatives without direct authority, manages technical risks and dependencies, and ensures compliance with regulatory, audit, and corporate engineering standards.

Own the architecture and reliability of Payabli’s core payments infrastructure, including exactly-once payment execution, APIs, multi-rail orchestration, batching, funding, reconciliation, ledgering, observability, and failover. As the founding Payments Core engineer and senior individual contributor, establish technical standards, influence architecture, set hiring criteria, and build systems capable of processing high-volume money movement accurately and reliably.

Leads a full-stack engineering team building AI-powered products and workflows for go-to-market functions. Responsibilities include engineering strategy, architecture, reliability, security, hiring, performance management, cross-functional discovery, prototyping, production delivery, and measurement. The role owns integrations across Salesforce, data platforms, product systems, and AI services while delivering measurable improvements in revenue, conversion, productivity, or quality.

Lead and develop a 12-person multidisciplinary data organization spanning data engineering, analytics engineering, data science, machine learning engineering, and support. Set technical direction for the data platform, improve scalability and reliability, automate workflows, guide architecture, and integrate data and machine learning capabilities into products. Establish priorities, support go-to-market teams, manage performance and career development, hire effectively, and collaborate with Engineering, Product, and company leadership.