Top Software Engineer Jobs in San Antonio, TX

Provides technical leadership across multiple agile teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include writing and reviewing code, translating requirements into scalable designs, leading design reviews and sprint delivery, mentoring engineers, collaborating with product managers, and driving technical strategy, quality, security, performance, observability, and operational excellence.

Develop and maintain Workday integrations across HCM, Finance, and Procurement using EIB, Workday Studio, Core Connectors, APIs, and web services. Responsibilities include requirements analysis, solution design, configuration, development, testing, deployment, documentation, data validation, reconciliation, security, stakeholder collaboration, and support. The role also requires monitoring Workday releases and implementing enhancements while maintaining data governance and integration accuracy.

Designs enterprise Salesforce architectures and CRM solutions integrating Salesforce Service Cloud with Genesys Cloud CX. Leads architecture reviews, technical governance, documentation, security assessments, and modernization initiatives. Develops scalable Apex, Lightning Web Components, Visualforce, asynchronous processing, flows, and platform integrations. Designs Open CTI, Omni-Channel, IVR, routing, screen pop, call logging, interaction history, and omnichannel customer engagement capabilities. Mentors development teams and manages stakeholder communication.

Leads and grows an engineering team responsible for customer-facing web, mobile, and backend products. Owns delivery, technical direction, architecture, reliability, hiring, coaching, and career development. Partners with Product and Design to prioritize work and deliver dependable releases. Establishes AI-assisted engineering practices, supports AI-powered customer experiences, and builds systems for scheduling, payments, client management, notifications, and integrations.

Leads complex software initiatives from architecture through delivery while remaining hands-on. Designs scalable cloud-native systems, mentors engineers, drives code quality, testing, CI/CD, observability, technical debt reduction, and production reliability. Partners with Product, QA, Security, Infrastructure, and leadership to align technical execution with business objectives. Requires deep Microsoft-stack, Azure, distributed systems, database, and automated testing expertise.

Build core banking activation experiences for administrators and customers by developing streamlined user flows, robust APIs, and third-party integrations. Design and implement scalable microservices using domain-driven design, emphasizing clean, tested, documented code, error handling, logging, and performance. Contribute to system architecture, advocate for technical decisions, review code, and provide technical guidance to teammates in an Agile Scrum environment.

Build core digital banking experiences for bank administrators and customers. Develop streamlined user flows, robust APIs, and third-party integrations such as Plaid and SendGrid. Write clean, documented, tested code with strong error handling, logging, and performance considerations. Apply system design, domain-driven design, and microservice architecture while working in an Agile Scrum environment. Provide architectural guidance, technical recommendations, and code reviews to improve team output.

Lead the architecture, development, security, integration, and deployment of enterprise ServiceNow solutions focused on GRC, IRM, audit, risk, compliance, and PPM. Design scoped applications, workflows, data models, access controls, migrations, workspaces, and integrations while maintaining upgrade compatibility. Provide technical leadership through architecture reviews, code reviews, Agile delivery, testing, documentation, stakeholder communication, and developer mentorship in classified government environments.

Lead development of scalable backend services and platform infrastructure for an AI agent platform. Responsibilities include architecture and code reviews, infrastructure automation, CI/CD, observability, reliability, distributed systems, ML/NLP workload support, and mentoring engineers. The role requires expertise in Java, Python, cloud environments, Docker, Kubernetes, infrastructure-as-code, monitoring tools, and data infrastructure.

Lead Honeydew’s Operations Experience engineering team, owning people management, planning, delivery, technical quality, and cross-functional execution. Manage engineers, a tech lead, and contractors through regular feedback, growth planning, agile ceremonies, and performance management. Improve delivery metrics, surface risks and tradeoffs, collaborate with Product and Engineering leadership, and develop the team’s long-term structure, capacity, and hiring plan.

Build automation for NVIDIA switches and InfiniBand fabrics, including configuration management, drift reconciliation, NAT gateways, L4 load balancing, and resilient network control loops. Define large-scale network behavior around BGP, convergence, failover, and production failures. Lead technical direction, design standards, and customer deployments while writing production software in Go or Python for AI infrastructure.

Lead the strategy, roadmap, and evolution of Airbnb’s third-party supply integration platform. Build and mentor a high-performing engineering team, guide technical and AI direction, deliver enterprise-scale integrations, and collaborate with Product, Data Science, Business Development, senior leadership, and external partners to ensure reliable, scalable platform performance.

Lead the technical direction, design, development, and operation of Airbnb’s large-scale Observability platform. Build distributed systems for metrics, logs, traces, querying, anomaly detection, and telemetry cost management. Scale high-throughput pipelines, improve reliability and performance, guide build-versus-buy decisions, mentor engineers, contribute to open source, and help teams self-serve production debugging while collaborating across infrastructure and product teams.