Top Software Engineer Jobs in Santa Cruz, CA

The role focuses on optimizing coding practices and collaboration within the engineering team, improving internal tooling, and communicating between teams and leadership.

Design, implement, and ship end-to-end features across backend services and a React web client for a multi-tenant ERP. Own schema design, migrations respecting row-level security, integrations with platform services, and deliver high-quality, performant code with CI/CD, tests, and code review. Leverage AI coding assistants responsibly and collaborate cross-functionally to evolve shared platform libraries and developer tooling.

The Senior Svelte Software Engineer will develop high-quality, scalable Svelte web components, collaborate on design systems, and ensure component reliability.

The Senior Software Engineer will lead teams to build secure, high-scale cloud applications, ensuring system reliability and delivering software solutions.

Build and maintain data integration interfaces and ingestion pipelines between EHR systems and the Bayesian platform. Collaborate with client technical teams, implement automated integration tests, deploy and support go-lives, troubleshoot data correctness end-to-end, and develop tooling and automation (including LLM-driven) to scale integrations.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

Build and operate reliable backend systems and APIs for high-traffic products. Responsibilities include distributed system design, data modeling, service architecture, performance tuning, automated testing, observability, incident management, and end-to-end feature delivery. The role partners with Product and Design, makes architecture decisions, mentors engineers, and applies AI-assisted development tools responsibly.

Design, build, test, and deploy production software for an agentic chatbot platform across intake, orchestration, retrieval, answer generation, caching, and integrations. Collaborate with product and technical teams, provide code and merge-request review, mentor junior engineers, and contribute to design, performance, security, and delivery.

As a Senior Backend Software Engineer at Archy, you will lead major product updates, ensuring system stability and scalability, while collaborating with cross-functional teams to enhance dental practice management solutions.

Design, architect, develop, test, and support scalable full-stack applications for a data catalog platform. Own features end to end, contribute to technical strategy and roadmaps, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Build multi-tenant systems supporting high data volumes and near-real-time analytics while applying AI-assisted development practices.

Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.

Lead design and build of scalable AWS cloud-based backend services and APIs powering web and mobile customer experiences. Own end-to-end feature delivery, improve grading and authentication workflows for scale and reliability, leverage AI tools to accelerate development, and provide technical leadership and mentorship across teams.

As a Senior Software Engineer, you'll design, develop, and maintain full-stack applications, utilizing TypeScript and modern frameworks while collaborating cross-functionally to enhance user experience and performance.

Own end-to-end supplier integrations: design, implement, test, and monitor third-party APIs. Ship weekly, improve tooling and abstractions, ensure reliability, and mentor peers. Use AI-assisted workflows to speed integration development.

Own and advance Yahoo’s enterprise Node.js development environment, including runtimes, packages, container images, internal integrations, and CI/CD workflows. Manage runtime lifecycles, security updates, dependencies, releases, testing, automation, and troubleshooting. Support GitHub Enterprise and GitLab Enterprise while integrating AI programming tools to improve developer productivity. Partner across engineering and security teams, and document platform changes, migrations, and deprecations.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Design and develop backend distributed systems for 5G non-terrestrial networks, Direct-to-Cell services, satellite orchestration, and terrestrial network coordination. Build scalable cloud-native software using C++, Golang, Java, gRPC, Protocol Buffers, and Kubernetes. Translate 3GPP and O-RAN specifications into reliable software, integrate platform components, document implementations, troubleshoot issues, and collaborate with telecom solution architects.

Designs and implements analytics and query capabilities in Elasticsearch, develops data-intensive features, resolves complex bugs, optimizes data structures and algorithms, and contributes modern Java code. Collaborates autonomously with globally distributed engineering, UI, solutions, and open-source communities. Provides technical expertise, guides projects from design through delivery, and uses AI to accelerate development, debugging, and code optimization.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Design, build, and optimize Java-based data pipelines and integrations from SQL/NoSQL and cloud sources. Create BI dashboards and automated reports, design storage for structured/unstructured data, document processes, and follow production deployment best practices to deliver actionable analytics.

Design and build cloud-native ETL/ELT pipelines and microservices, modernize on-prem systems to distributed services, implement authentication/authorization and data governance, ensure data quality and observability, drive architecture and CI/CD best practices, mentor engineers, and collaborate with stakeholders across a US Navy-focused defense program.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Design, implement, and operate features for Temporal’s open source distributed systems server. Solve challenges involving scheduling, task processing, workflow execution, persistence, quotas, visibility, and performance. Improve reliability through testing, observability, dashboards, alerts, runbooks, and documentation. Collaborate across engineering and product teams, participate in design reviews, contribute to developer experience, and mentor junior engineers.

Lead initiatives that enable production-like system testing across engineering. Build realistic test environments, workload generation and replay, fault-injection tooling, shared testing frameworks, and continuous or release validation. Partner with infrastructure, reliability, release, and product teams to convert incident learnings into durable test coverage. Mentor engineers, influence testing strategy, and improve observability, debuggability, and operational readiness.