Top Tech Jobs & Startup Jobs in Sacramento, CA

Own LoopMe’s Unity SDK product surface, including architecture, cross-platform native integrations, open-source publishing, CI/CD, reusable tooling, validation apps, licensing, testing, documentation, and partner support. Collaborate with iOS, Android, and quality engineering teams to maintain platform parity. The role requires deep Unity SDK architecture expertise, C#, Kotlin, Swift, Objective-C++, mobile development, package distribution, and ad-tech privacy frameworks.

Administers and improves GE Aerospace benefit programs across Canada and the U.S. Responsibilities include compliance monitoring, audits, enrollment support, handbook updates, vendor coordination, issue resolution, plan implementation testing, eligibility governance, leave reporting, and process improvement. The role partners with administrators, legal teams, leadership, and cross-functional stakeholders while monitoring metrics and ensuring accurate, efficient benefits delivery.

Leads industrial engineering and lean transformation initiatives across manufacturing assembly and test operations. Develops standard work, layouts, workflows, capacity utilization processes, and workstation plans; improves labor and machine utilization; facilitates kaizen and structured problem solving; analyzes capacity and OEE; and establishes best practices across the manufacturing network. The role leads cross-functional projects, coaches teams on lean principles, and requires up to 60% travel.

Develop and deliver native iOS features for MyFitnessPal’s AI-powered food logging experience. Responsibilities include implementing user interfaces, optimizing performance and network communications, building tested and secure solutions, collaborating with product and design teams, researching technical approaches, mentoring developers, and contributing to deployment and engineering best practices.

Designs and maintains scalable data models, semantic layers, ETL/ELT workflows, data-quality frameworks, and governed analytics products for commercial operations. Owns data solutions from requirements through deployment, monitoring, documentation, and support. Partners with technical and business stakeholders to deliver trusted reporting, dashboards, scorecards, productivity measurements, and AI-enabled decision support.

Advise product, engineering, marketing, and partner teams on commercial terms, privacy, AI governance, cybersecurity, regulatory compliance, and data protection. Draft and negotiate resale, referral, distribution, technology partner, cloud marketplace, and services agreements. Monitor emerging regulations, assess legal and ethical risks, and support commercial strategy, product launches, partner programs, and public-sector routes to market.

Build and operate production-grade, cloud-native AI applications across the full stack. Responsibilities include integrating and optimizing AI models, developing evaluation and monitoring pipelines, operating reliable production systems, collaborating with stakeholders, leading design reviews, mentoring engineers, and participating in on-call rotations. The role supports proof-of-concepts, MVPs, and long-term product development while applying MLOps, LLMOps, DevOps, security, testing, and SRE practices.

Build and operate enterprise AI infrastructure for security teams, including model gateways, agent workflows, retrieval systems, evaluation, observability, and security guardrails. Drive adoption across detection, incident response, threat intelligence, vulnerability management, GRC, and security engineering. Develop production AI applications, establish governance and standards, measure impact, teach teams, and lead technical change through influence as a senior individual contributor.

Leads IonQ’s global customer success and technical support organization for space solutions, including satellite systems, geospatial data, and optical communications. Owns onboarding, adoption, mission outcomes, renewals, retention, expansion, and support performance. Builds the operating model, tiered support function, SLAs, escalation processes, tooling, knowledge base, and distributed team. Partners with engineering, product, mission operations, and channel partners while serving government, defense, enterprise, and international customers.

The Senior Site Reliability Engineer will assess and improve the reliability, scalability, observability, and incident readiness of cloud-hosted applications and distributed systems. Responsibilities include implementing reliability mitigations, establishing performance and capacity testing, building monitoring and automation, creating runbooks, supporting incident response, and coordinating application-specific changes with system owners. The role will also help establish SRE processes, on-call practices, service-level indicators, and safe remediation capabilities.

Leads the full lifecycle of shared platform, cloud, DevOps, CI/CD, and SRE capabilities. Owns platform roadmaps, infrastructure as code, release automation, quality gates, observability, reliability practices, incident processes, and developer experience improvements. Partners with Engineering, IT Operations, Security, and Quality in a regulated environment, leads platform engineers in India, evaluates AI-assisted tools, and serves as a hands-on technical leader.

Lead architecture and full-stack development for greenfield products and major system changes. Design scalable APIs, UIs, integration services, and durable workflows; integrate SaaS systems, third-party applications, and production LLM capabilities. Document architectural decisions, ensure maintainable code, troubleshoot integrations, improve observability and automation, and mentor teams while driving scalable improvements in delivery and quality.

Design and scale reinforcement learning environments for cybersecurity tasks using verifiable rewards. Build automated vulnerability verification pipelines, sandboxes, test harnesses, telemetry, and low-level instrumentation. Integrate Bugcrowd Mayhem and vulnerability feeds, support large-scale distributed RL workflows, and evaluate AI agents performing fuzzing, exploitation, remediation, and patch validation. The role requires Python and C development, Linux debugging, reproducible builds, security research, and familiarity with reinforcement learning and benchmark environments.