Top Senior Engineering Manager Jobs in San Diego, CA

As an Engineering Manager, lead a cross-functional software engineering team, manage projects, guide technical strategy, and ensure high-quality software delivery.

The Engineering Manager will lead teams building a scalable device passport platform, mentor engineers, manage backlog, and contribute coding while ensuring quality and documentation standards.

Leads the Customer Developer Experience engineering team, setting technical strategy for open-source TypeScript and React tooling. Responsibilities include supporting external developers, improving documentation and integration workflows, prioritizing work with cross-functional teams, recruiting, mentoring engineers, and maintaining high standards for software quality, testing, and reliability.

Leads a 10–15-person software engineering section while serving as a technical performer on connectivity and network systems programs. Responsibilities include staffing, recruiting, training, performance management, compensation and career development, conflict resolution, engineering process improvement, and coordination with program teams. The manager will spend approximately 80% of their time supporting software engineering programs and must maintain an inclusive workplace while ensuring workforce readiness and engineering execution.

As an Engineering Manager, you'll lead the Reporting team, driving technical and product strategy, managing engineers, and collaborating across functions to enhance Vanta's reporting capabilities and product innovations.

Leads and mentors site reliability engineering teams supporting products across thousands of clusters and global enterprises. Drives reliability, scalability, security, usability, product lifecycle requirements, technical innovation, system design, and solutions development. Partners with stakeholders on product roadmaps and operates in an Agile environment to deliver SRE initiatives while building accountable, collaborative teams.

Leads the Data and Cloud Platform function supporting Mitratech’s AI organization. Responsibilities include building cloud infrastructure, CI/CD patterns, unified data access layers, agent memory and context systems, ETL pipelines, lakehouse and warehouse architectures, privacy-aware data services, and reusable platform patterns. The role is hands-on, requiring substantial production coding alongside hiring, mentoring, technical strategy, and cross-team collaboration.

Leads a senior engineering team responsible for 35+ SDKs, OpenFeature providers, event-streaming libraries, contract tests, release tooling, and the Relay Proxy. Owns portfolio prioritization, roadmap delivery, compatibility and deprecation decisions, release quality, observability, incident response, customer communication, hiring, and career development. Partners with Product Management and cross-functional stakeholders to deliver performant, resilient, developer-facing software across multiple languages and platforms.

Lead engineering for Crucible, a production software platform coordinating manufacturing across cloud, factory, edge, and classified environments. Own technical execution, architecture, integrations with PLM, ERP, quality, and test systems, roadmap delivery, production operations, and engineering standards. Partner with manufacturing, supply chain, quality, and product teams to address factory-floor needs. Stay hands-on with design, code reviews, and implementation while hiring, developing, and leading the engineering team.

Leads a team of 5–8 engineers, balancing people management with technical leadership. Responsibilities include career development, roadmap delivery, architectural guidance, code reviews, hiring, incident response, team culture, and delivery management. Partners with Product Management and Design to build scalable, reliable, user-focused SaaS products while contributing hands-on technically and supporting remote, asynchronous collaboration.

Leads an engineering team building and scaling customer-facing integrations for agentic AI products. Responsibilities include setting technical direction, balancing customer delivery with reusable tooling and platform investments, ensuring reliability and observability, improving developer experience, collaborating cross-functionally, recruiting, and coaching engineers. The role requires customer empathy, strong engineering leadership, technical problem-solving, and experience with production systems or integrations.

Lead and grow a backend engineering team building high-scale, low-latency consumer authorization platforms. Provide technical vision, partner with product, security, and data teams, balance short-term needs with long-term strategy, and hire, mentor, and retain diverse engineering talent.

Lead two teams (Consent Data & Privacy and User Data Management) as a manager-of-managers, owning execution and multi-year technical vision for user consent, data collection, storage, pipelines, access, retention, and compliance. Partner with Product, Data Engineering, and Legal to enforce consent and data governance at scale, adapt to evolving regulations, and drive architecture and platform solutions.

Lead two engineering groups building shared foundational services (identity, subscription). Drive technical strategy, architecture, observability, CI/CD, and DORA metrics. Manage people, hiring, cross-team collaboration, product partnerships, and mentor engineers while occasionally prototyping and contributing to code and technical planning.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Leads platform engineering and FinOps teams responsible for CI/CD, developer tooling, container orchestration, observability, cloud cost governance, and software procurement. Oversees AWS usage optimization, automation, Infrastructure as Code, GitOps, compliance, and platform modernization across a hybrid cloud environment. Partners with infrastructure and cloud operations teams, defines the platform roadmap, and mentors platform engineers, DevOps engineers, and FinOps analysts.

Lead and grow a backend engineering team while staying hands-on: design and build Python/FastAPI services with Temporal and Postgres, own roadmap and delivery, set SLIs/SLOs, drive observability and reliability, run engineering rituals, hire and coach engineers, and improve quality with DevOps and AI tooling.

Leads a large engineering team responsible for scalable customer runtime infrastructure supporting Drupal, WordPress, and Next.js sites. Oversees technical strategy, architecture, project delivery, modernization, operational reliability, mentoring, performance management, and cross-functional collaboration. Guides cloud infrastructure transformation, reviews critical code, manages multiple priorities, and develops a high-performance engineering culture across global teams.

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 secure, reliable IT infrastructure supporting distributed clinical research sites and remote employees. Manages enterprise networking, Azure and Microsoft 365 services, endpoint platforms, automation, AI-enabled operations, vendors, budgets, and technology projects. Oversees site deployments, security and compliance initiatives, service delivery, and operational improvements while recruiting, coaching, and developing technical teams.

Leads a remote-first team of SDETs responsible for quality strategy, test automation, CI stability, defect prevention, release readiness, and reliability across SaaS and customer-managed products. Establishes quality metrics, optimizes testing pipelines, performs failure and root-cause analysis, partners with product and engineering leaders, and mentors test engineers developing AI-enabled and agentic workflows. The role may include on-call or off-hours responsibilities.

Leads and mentors an engineering team, overseeing technical decisions, architecture, delivery, quality, testing, CI/CD, support escalations, and continuous improvement. Partners with product, design, customer success, and engineering leadership to deliver roadmap commitments. Manages prioritization, KPIs, delivery health, hiring, onboarding, performance reviews, and career development in a fast-growing SaaS environment.

Lead and grow engineering teams building AI-powered automation (especially LLM/Agentic AI) for compliance. Drive architecture, scalable multi-tenant systems, cloud-based engineering, cross-functional roadmaps, hiring, code quality, incident response, and delivery of high-impact AI/ML products.

Leads and mentors software engineers while owning technical decisions, team priorities, delivery, quality, and career development. Partners with product, design, customer success, and DevOps to ship reliable features, resolve production issues, improve CI/CD and testing, and optimize engineering KPIs such as cycle time, WIP, and velocity. The role also supports hiring, performance management, planning, and process improvement in a fast-growing SaaS environment.

Lead architecture, roadmap, and delivery for core platform domains (authentication, tenancy, APIs, messaging, tooling). Build and coach platform engineering teams, drive cross-team adoption, ensure reliability, observability, security, and cloud cost efficiency for multi-tenant SaaS platform capabilities.