Top Software Engineer Jobs in Sacramento, CA

Build scalable, secure, high-performance applications for clients, clinicians, and internal users. Collaborate across Product and Clinical Operations, translate workflows into impactful features, improve architecture and system stability, and contribute to design, testing, code reviews, and technical planning. Lead cross-functional projects, mentor junior developers, and help shape innovative technology supporting mental healthcare.

Design, implement, test, deploy, and operate core protocol features and Rust-based consensus clients. Own full lifecycle delivery, build conformance and adversarial tests, execute safe protocol upgrades, resolve availability/performance issues, and collaborate cross-functionally while maintaining high standards for correctness and security.

Design, build, and maintain payment integrations and a reconciliation data platform for high-volume restaurant transactions. Implement terminal-to-cloud flows, ingestion pipelines, matching engines, reporting UIs, and payment analytics. Provide technical leadership, documentation, and mentor teammates to ensure reliable settlement and reconciliation.

Lead technical direction for patient-facing mobile and web products, rapidly prototype and ship features with product/design/clinical teams, mentor engineers, set architecture and development standards, and use AI tools to improve patient engagement, retention, and outcomes.

Design and build internal platforms, tooling, and AI-powered workflows to reduce developer friction, improve velocity, quality, and reliability. Partner with product, infra, and security to create reusable paved paths, measure impact with engineering metrics, and help define the Developer Experience practice.

Lead design and delivery of end-to-end calibration systems for perception sensors and robot kinematics. Build algorithms, fixtures, on-fixture software, data pipelines, validation, operator workflows, and fleet monitoring. Own fixture software and in-field self-check/recalibration, define downstream manufacturing requirements, and coordinate with vendors and contract manufacturers. Hire, mentor, and develop engineering talent for calibration work.

Design, build, test, and continuously deploy scalable infrastructure and platform tooling. Create technical specs and rollout plans, collaborate with stakeholders, mentor teammates, support services in production, and shape engineering practices across teams.

Build and operate the Data Plane Platform: design and implement scalable backend services in Go, REST APIs, and distributed systems; contribute full-stack using React and TypeScript for platform management; develop and run production cloud applications on AWS/GCP; ensure reliability through testing, CI/CD, and observability; troubleshoot across code and infrastructure and drive technical ownership.

Build and maintain scalable Golang microservices powering eligibility, billing, and client APIs. Automate operational workflows, ensure data accuracy and traceability, and deliver self-service tools for finance and operations. Collaborate with data and AI teams to apply AI for validation and anomaly detection. Support cloud deployments and integrate event-driven architectures for reliable data exchange.

Develop and maintain UI integrations using VueJS, connecting front-end interfaces with back-end systems and data sources. Build responsive, high-performance features, troubleshoot issues, and write unit and integration tests. Collaborate with cross-functional teams on product development while ensuring technical feasibility, code quality, and reliability. The role also requires maintaining existing functionality, applying current UI integration practices, and contributing independently within an Agile environment.

Develop and maintain web application user interfaces using HTML, CSS, JavaScript, and modern front-end frameworks. Assist with style guides, review and debug code, and support usability, quality, and performance improvements. Collaborate with developers and designers in a fast-paced environment while gaining practical experience in UI/UX principles, responsive design, and front-end development.

Design, architect, build, and scale reliable backend systems operating at Internet scale. Develop distributed, event-driven applications; design RESTful APIs and NoSQL data solutions; deploy cloud and serverless applications; containerize services; and establish CI/CD pipelines. The role emphasizes software development best practices, testing, clean architecture, reliability, scalability, and potential Open-Source Intelligence community experience.

Join the Consumer Technology team to develop, maintain, and troubleshoot applications and test tools. Perform routine automation, white-box testing, code reviews, monitor automated processes, estimate tasks, communicate with product owners and users, and recommend improvements. Assist in training others and follow departmental methodologies.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Develop and enhance front-end, server-side, and database applications, focusing on blockchain products while ensuring high performance and security.

Design and develop full-stack applications for controlling autonomous construction robots, including backend services and front-end interfaces. Collaborate in rapid deployment cycles.

Build and ship full‑stack web features end-to-end using React/TypeScript and Node.js. Partner with Product, Design, and Data to deliver reliable, well-tested software, set and uphold code quality, make technical decisions, and mentor others (at senior level). Own features from design through production and improve tooling, testing, and observability to increase team velocity.

The Software Engineer will build scalable backend systems, integrate third party software, and optimize performance, aiming to enhance efficiency in the moving industry.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.

Design and build RL post-training infrastructure for AI, optimizing training-inference-rollout on distributed systems while ensuring fault tolerance and scalability.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.