Top Engineering Manager Jobs in San Antonio, TX

Leads software engineering teams, develops technical and people leaders, modernizes legacy customer-facing applications, and advances engineering practices. Partners with product, architecture, quality, DevOps, delivery, and business stakeholders to improve reliability, security, customer experience, adoption, and delivery speed. Drives CI/CD, automation, observability, resilience, cloud-native practices, and responsible adoption of AI-assisted software development while managing priorities, risks, dependencies, capacity, and organizational change.

Lead two engineering teams of 8–10 engineers, owning delivery, quality, capacity planning, sprint execution, OKRs, hiring, retention, and professional development. Establish scalable engineering processes, quality gates, testing standards, observability, and continuous improvement practices. Partner with Product Managers on roadmap execution while providing technical guidance on architecture, APIs, backend systems, infrastructure, and frontend platforms.

Leads and develops the manufacturing engineering team supporting safe, efficient, high-quality automotive operations. Oversees engineering strategies, project plans, budgets, capital investments, process improvements, product launches, technical documentation, and issue resolution. Drives kaizen and continuous improvement initiatives while coordinating with Operations, suppliers, contractors, and cross-functional teams. Ensures compliance with safety, quality, environmental, and manufacturing requirements, and provides coaching and technical leadership to engineering personnel.

Leads Samsara’s Quality Engineering and Test Infrastructure organization, setting strategy and building scalable testing platforms, automation frameworks, environments, simulators, test data systems, and CI/CD integrations. Establishes quality metrics, improves regression prevention and release confidence, reduces flaky tests and feedback times, and partners across engineering and product teams. The role also includes AI-assisted testing initiatives, exploratory validation, organizational leadership, hiring, coaching, and developing engineering managers and senior individual contributors.

Leads and manages software engineering teams, including hiring, mentoring, budgeting, planning, roadmap delivery, system design, and technical strategy. Oversees scalable, secure, compliant applications across multiple technology stacks, drives CI/CD, migrations, modernization, process improvement, and engineering best practices, and partners with product and cross-functional stakeholders to deliver high-quality customer-facing solutions.

Lead the Client Platform organization responsible for container image builds, software supply chain security, and over-the-air updates across customer environments. Manage engineering managers and approximately 10 engineers, establish engineering culture, drive architecture decisions, operate secure CI/CD pipelines, and own distributed update systems. Partner with security research, product management, and customer success to deliver the client-side roadmap.

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.

Manage and grow a Cloud Operations Engineering team to ensure fleet reliability and customer environment health across Azure, AWS, and GCP. Own operational outcomes (SLOs, error budgets, incidents), on-call rotations, audit/compliance contributions (FedRAMP, SOC2), cloud cost management, and cross-team coordination while partnering with architects and security. Hire, develop, and report on team performance and risk to engineering leadership.

Leads Natera’s Software Engineering and DevOps team within Data Science Production Engineering. Responsibilities include managing engineers, designing and maintaining AWS cloud and data platforms, developing automation and production software, optimizing infrastructure performance, overseeing testing and deployment, enforcing quality and compliance procedures, maintaining technical documentation, and coordinating infrastructure roadmaps with cross-functional stakeholders. The role supports regulated genomics and medical diagnostics environments and requires expertise in Python, databases, AWS, Linux, software development, and genomics data.

Lead Supabase’s Billing engineering team, overseeing people management, hiring, roadmap delivery, technical direction, partnerships, and incident response. Own systems covering subscriptions, usage-based billing, invoices, payments, taxation, entitlements, collections, and provider integrations. Build a healthy remote team, ensure predictable delivery, improve reliability and operational maturity, and coordinate with Product, Finance, Data, Support, Sales, and Partnerships on revenue-critical initiatives.

Lead a global network engineering team to design, scale, and operate large-scale IP and optical backbone and hybrid cloud connectivity. Own technical roadmap, cloud connectivity strategy, automation, vendor relationships, hardware/software integration, testing, tooling, DDoS mitigation, operational excellence, and participate in 24x7 on-call rotations while ensuring compliance in regulated environments.

Leads a network engineering team responsible for resilient office, data center, and cloud infrastructure supporting critical investment and business applications. Owns network architecture, modernization roadmaps, automation, observability, incident response, change management, vendor relationships, and operational risk reduction. Provides technical direction, stakeholder communication, mentoring, prioritization, and performance management while ensuring secure, highly available, low-latency network services.

Lead LaunchDarkly’s Data Platform engineering team, overseeing high-throughput ingestion, streaming and batch pipelines, analytical data stores, reliability, observability, incident response, and operational excellence. Partner with product and engineering teams on roadmap planning, technical tradeoffs, and delivery. Coach engineers, manage performance and career growth, establish collaborative team practices, and participate in hiring.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Manages the systems engineering discipline and team within an aerospace organization. Responsibilities include staffing, budgeting, workload planning, technical guidance, requirements traceability, systems safety, test planning, flight-test data acquisition, performance evaluation, and continuous process improvement. The role supports product development from concept through production, coordinates with customers and engineering functions, and develops team capabilities and career paths. This is a fully on-site position in San Luis Obispo, California.

Leads and develops a software engineering team, owns engineer growth, partners with Product and technical teams on architecture and data models, facilitates technical roadmap execution, translates business goals into requirements, and drives scalable, maintainable solutions amid ambiguity.

Leads semiconductor process engineering teams supporting 300mm high-volume manufacturing. Owns tool installation, process release, capacity enablement, cost reduction, sustaining engineering, excursion response, root-cause resolution, SPC governance, and continuous improvement. Partners with manufacturing, equipment, integration, technology, yield, operations, and facilities teams while reporting operational performance to senior leadership.

Lead and grow a hands-on Maps & Search engineering team owning home search across web and mobile. Set technical direction, contribute to code, and scale a high-throughput search platform (~1B monthly requests). Improve relevance, latency, and reliability, integrate AI/LLMs into discovery and ranking, and drive delivery from roadmap through incidents and production operations.

Leads multiple engineering teams delivering AI-powered data connectivity solutions. Owns execution, delivery, technical direction, operational reliability, and cross-team coordination. Develops engineering talent through coaching, hiring, and performance management while partnering with Product and Engineering leadership on priorities and organizational planning. Guides architecture, cloud-native development, incident response, SLOs, and AI-assisted software development practices. Requires strong Java/Kotlin expertise, cloud architecture experience, and technical judgment across distributed systems.

Lead two Payments engineering teams through platform modernization, including decoupling payment capabilities from business logic, improving observability, performance, reliability, and operational health. Manage engineering managers and individual contributors, guide technical direction with senior engineers, own third-party payment integrations, and partner with Product and Commercial on payment capabilities and priorities. Drive cross-team initiatives, develop talent, and balance product delivery with foundational architecture investments.

Executes systems engineering across R&D platforms, hybrid cloud, SaaS, HPC, containers, integrations, data pipelines, observability, and AI architectures. Coordinates Enterprise IT, vendors, cybersecurity, compliance, and scientific stakeholders to deliver secure, scalable, validated, and supportable solutions. Develops technical documentation, deployment plans, runbooks, monitoring, lifecycle artifacts, risk logs, and operational handoffs. Implements RAG, vector database, AI gateway, agentic workflow, and multimodal integration patterns while supporting cloud migration, change management, governance, and technical issue resolution.

Leads industrial engineering for new plant setup, capacity planning, line balancing, process optimization, MES/SFCS implementation, Lean and automation integration, and cross-regional manufacturing standardization. Oversees OEE, budgeting, staffing, technical roadmaps, quality reviews, continuous improvement, and engineering team leadership. Requires extensive large-scale manufacturing experience, greenfield plant setup or global operations expertise, and strong cross-functional and cross-cultural leadership.

Lead and grow an engineering team responsible for scalable cloud platform foundations and developer infrastructure. Set technical direction, make architectural decisions, establish goals, prioritize resources, and guide execution through ambiguity. Partner with Product and Engineering teams to build standardized contact solutions for CRM use cases across business verticals. Drive reliability through infrastructure as code, CI/CD, observability, incident response, and scalable cloud operations while contributing to engineering-wide initiatives.

Lead and grow Vanta’s App Primitives engineering team, overseeing hiring, team health, delivery, and senior engineer development. Own the strategy and roadmap for shared infrastructure including comments, notifications, event logs, feature flags, and task management. Set full-stack technical direction, define interfaces between platform and product teams, manage cross-team dependencies, and partner with engineering, product, and design leaders to deliver scalable infrastructure.

Lead the ToastNow engineering team in delivering high-quality native mobile experiences for restaurant operators. Drive planning, execution, cross-functional collaboration, backlog development, production quality, monitoring, and issue resolution. Hire, mentor, and develop engineers while fostering diverse, high-performing teams. Champion AI tools and practices to improve development speed, quality, and team velocity.