Top Engineering Manager Jobs in San Antonio, TX

Lead and manage a team developing the Aerospike Cloud Platform, focusing on architecture, execution, and fostering a high-performance engineering culture.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

Lead a cross-functional agile engineering team while remaining hands-on in architecture and coding. Mentor engineers, coordinate with Product and QA, improve delivery practices, CI/CD, operational reliability, and cloud-based systems, and drive modernization and engineering standards.

Lead and grow a software engineering team to design, build, and operate large-scale distributed cloud services that automate infrastructure maintenance, improve reliability, and support GPU-based AI platforms. Drive technical vision, partner across engineering and operations, modernize platforms, and use data-driven decisions to improve availability, performance, and operational efficiency at global scale.

The Software Engineering Manager will lead a team in building a cloud-first data ecosystem using Azure, overseeing recruitment, performance, and ensuring effective software delivery while aligning with business objectives.

Lead and mentor a team of full‑stack/backend engineers building integrations, identity verification, SSO, account opening, funding/ACH pipelines, and a public API platform. Drive architecture and delivery, champion quality and reliability, partner with Product and Implementation on roadmap and escalations, and remain hands‑on to guide technical decisions and ship production software.

Lead and coach Quality Engineers and SDETs across product teams to implement risk-based exploratory testing and automation, align quality activities with delivery goals, partner on automation architecture and observability, manage workflows and incident response, report on risk and coverage, and mentor technical and strategic skills while promoting responsible AI-assisted testing practices.

Lead a team of software engineers to deliver backend services, platform components, automation, observability, and AI-assisted tooling. Own end-to-end delivery, architecture, testing, and operational readiness. Drive engineering standards, cross-functional collaboration, hiring, coaching, and continuous improvement with emphasis on security, reliability, and scalable platform patterns.

Lead a ~10-engineer team to build and modernize cloud-native SaaS for marinas. Stay hands-on with Node.js/React/TypeScript code, drive architecture and migrations, enforce testing/observability/CI-CD, run incident response, recruit and coach engineers, and implement AI-assisted development practices aligned to product goals.

Lead and grow a ~10-engineer team building and modernizing cloud-native SaaS for RV and camping operators. Drive architecture, CI/CD, reliability, AI-assisted engineering practices, migrations from legacy to service-oriented systems, incident response, and measurable engineering KPIs while remaining technically hands-on.

Lead creation of a Site Reliability (SRE) function: hire a 4–6 person team, implement incident management and on-call programs, define SLOs/SLA and runbooks, select incident tooling, and drive observability and reliability initiatives. Balance incident response with a roadmap of reliability work, mentor and retain engineers, run blameless retrospectives and design/code review practices, and collaborate with product and engineering leaders to improve operational excellence.

Lead and grow a systems engineering team owning identity, device, and ITSM platforms. Deliver joiner/mover/leaver automation in Okta Workflows, device assurance for macOS/Windows, rationalize ITSM, govern SaaS procurement and the AI tooling stack, and partner with Security, GRC, Finance, and Engineering to enable safe self-service.

Lead a globally distributed QA team to define QA strategy, governance, and audit-ready processes for regulated banking clients. Drive test automation, CI/release gating, regression coverage, incident response, and partner with Professional Services for UAT and integration validation while reporting quality KPIs.

Lead and grow a software engineering team building Hatch and Unity platforms. Partner with product and business stakeholders to deliver high-quality web features on schedule, guide architecture and technical decisions, refine development and AI-assisted workflows, hire and mentor engineers, conduct code reviews, and remove blockers so the team can ship reliably.

Lead and mentor a team building Twilio's next-generation low-latency, high-throughput media processing stack. Drive architecture and technical decisions, balance reliability with feature delivery, own performance and reliability targets, collaborate across product and platform teams, reduce technical debt, and establish engineering excellence in testing, code quality, and operations for global real-time media services.

Lead and hands-on manage the Catalog engineering team, own sprint delivery and architecture, write and ship full‑stack production code using AI-assisted tooling, hire and grow engineers, and drive collaboration with product and design while shaping an AI-driven SDLC.

Lead and grow a Data Engineering organization to design, build, and operate scalable, governed data pipelines and enterprise data products. Define technical strategy and roadmap, improve data quality, reliability, observability and governance, partner with cross-functional teams, and drive platform evolution to enable analytics, ML, reporting, and self-service insights.

Lead engineering managers and senior engineers for Authentication services, owning roadmap, reliability, scalability, and operational excellence for cloud-native, low-latency API-based systems. Improve architecture, observability, CI/CD, incident response, and cross-team execution while partnering with Product, Research, Security, and Platform to operationalize AI/ML trust signals.

Lead a small engineering team as a hands-on technical manager to design, develop, and deploy core product features. Hire, scale, and mentor engineers while ensuring high quality, security, and best practices. Collaborate with Product, Data, and Clinical partners and drive execution for a new health plans and systems vertical and Bend Health platform work.

Lead the Demo Engineering team, developing AI-powered demo environments and infrastructure while establishing standards and best practices to enhance customer engagement and operational excellence.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.

Lead and grow cross-functional engineering teams delivering Salesforce-centered services (Sales Cloud, Health Cloud) and backend systems. Drive agile delivery, technical architecture, code quality, cloud/IaC practices, and healthcare compliance (HIPAA, SOC 2). Collaborate with Product, Design, Security, and Marketing to prioritize roadmap, improve engineering operations, and report performance metrics to stakeholders.

Lead one or more engineering teams owning mission, execution, code quality, and morale. Partner with product managers on roadmaps, remove roadblocks, improve processes, coach and grow engineers, and drive innovation while delivering high-traffic full-stack or data applications at scale.

Lead and manage the development of the Landscape systems management solution for Ubuntu, guiding a team of engineers and setting strategic goals.

Lead and manage a software engineering team to deliver scalable, secure SaaS applications. Drive development best practices (code review, testing, CI/CD), align technical execution with business goals, mentor engineers, participate in architecture and design, monitor KPIs, and integrate generative AI tools to improve productivity. Oversee hiring, training, performance evaluations, and cross-functional collaboration in an Agile environment.