Sonatus

Create high-impact visual assets for marketing initiatives, design and format presentations, maintain brand consistency, and collaborate with teams to support ongoing projects while managing multiple design requests in a fast-paced environment.

Title: Senior Staff DevOps Engineer - CI/CD & Release Engineering Location: Sunnyvale, CA Job Description: At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 6 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we’re solving some of the most interesting and complex challenges in the industry. Join us and help redefine what’s possible as we shape the future of mobility. Role Summary: Sonatus builds the software platform for AI-enabled, software-defined vehicles. Our CI/CD platform serves over 200 repositories across three product lines, producing firmware that ships to automotive OEMs. We are looking for a Sr. Staff DevOps Engineer to own the delivery platform: CI/CD pipelines, release automation, artifact management, build tooling, and the instrumentation that tells us whether it's all working. Today, our delivery infrastructure is fragmented — multiple Jenkins instances configured by hand, release processes driven by ad-hoc scripts, and no unified metrics on how software moves from commit to customer. You will consolidate this into a unified, codified, observable delivery platform. You think in terms of systems, supply chains, and feedback loops — not individual pipelines. Responsibilities: CI/CD platform architecture — Own the consolidation and evolution of multiple Jenkins instances into a unified, configuration-as-code managed platform. Drive the migration strategy across Jenkins and GitHub Actions for 200+ repositories. Design shared pipeline libraries and patterns that scale across product lines without fragmenting into per-team forks. Release engineering — Own the release tooling and automation for multi-product releases spanning three hardware platforms and multiple automotive customers. Tagging, branching, config generation, and customer artifact delivery. The current toolchain is functional but brittle — your job is to make releases reliable, repeatable, and auditable. Artifact lifecycle management — Own the Artifactory platform (JFrog SaaS): repository structure, retention policies, token lifecycle, build promotion from staging to release, and customer-facing distribution. You manage the full artifact flow from build output to customer delivery. Build tooling and reproducibility — Own the build system architecture across three divergent toolchains: Bazel for hermetic static builds, CMake for the embedded monorepo, and Yocto for custom embedded distributions. Drive toward reproducible, cacheable, fast builds regardless of the underlying toolchain. Security scanning integration — Own the integration of static analysis (Coverity) and software composition analysis (BlackDuck) into CI/CD pipelines. Automate scan scheduling, report generation, and quality gate enforcement to meet automotive compliance requirements (ESIR-ISIR). CI/CD observability and DORA metrics — Instrument the delivery pipeline with OpenTelemetry. Define and measure the four DORA metrics: deployment frequency, lead time for changes, change failure rate, and mean time to recovery. Build dashboards that make delivery health visible. Own the 30-minute build SLO. Software supply chain — Own dependency management, credential lifecycle, artifact provenance, and the path toward SBOM generation. Eliminate manual credential management and single-person dependencies from the delivery pipeline. Every artifact should be traceable from the source commit to customer delivery. Requirements: - 10+ years in DevOps, SRE, or release engineering, with hands-on ownership of CI/CD platforms at scale — not just pipeline authoring, but platform architecture, reliability, and evolution - CI/CD platform expertise — Deep experience with Jenkins (multi-controller, shared libraries, JCasC, distributed agents) or equivalent enterprise CI/CD platform. You've operated the platform, not just consumed it - Release engineering — You have owned or built release automation for a multi-product software organization. You understand branching strategies, semantic versioning, promotion workflows, and customer delivery mechanics - Artifact management — Experience with JFrog Artifactory, Nexus, or similar. You've designed repository structures, managed token lifecycles, and implemented retention policies at scale - Infrastructure as Code mindset — Terraform or equivalent for managing platform configuration as code. You treat configuration drift as a bug. Jenkins configured through a UI is a problem to solve, not a steady state - Observability and instrumentation — You have implemented DORA metrics, build SLOs, or equivalent delivery pipeline instrumentation. Experience with Prometheus/Grafana, OpenTelemetry, or similar stacks - Software supply chain awareness — Dependency management, credential hygiene, security scanning integration (SAST/SCA), and the principles behind reproducible builds. You understand why "it works on the build server" is not acceptable Nice to Have: - GitHub Actions at scale (ARC self-hosted runners, OIDC authentication, org-wide reusable workflows) - Embedded build toolchains (Bazel, Yocto, CMake cross-compilation) - Automotive compliance experience (ESIR-ISIR, ASPICE, MISRA) - Experience migrating or consolidating legacy CI/CD infrastructure into modern platforms Sunnyvale HQ Benefits & Perks Offered: - Health care plan (Medical, Dental & Vision) - Flexible and Dependent Care Expense program - Retirement plan (401k) - Life Insurance (Basic, Voluntary & AD&D) - Unlimited paid time off per year, 14+ paid holidays - Hybrid office work arrangement - Complimentary lunches, snacks, and beverages during on-site working days - Wellness benefit allowance - Phone & Internet reimbursement - Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $198,000 - $260,000 USD

• Integrate software modules and SDK at the system or application level, and create POC (Proof of Concept) prototypes for demo purposes. • Plan POCs based on the scope for the customers, and estimate the required work and effort to complete the POC and provide NRE estimate, and resource forecast. • Identify, analyze, and resolve issues that arise during the software integration process, ensuring a smooth and reliable software system. • Triage the customer-reported technical issues, identify the domain of issues, and assign them to the appropriate stakeholders accordingly. • Present solution using either demo SW or architecture presentation to customers and partners to showcase our product and technology advantages. • Provide integration support for our customers, remotely and/or on-site when necessary. • Manage customers’ feature requests, develop business relationships with customers, and play the Go-to-person for technical questions, issues, and resolutions. • Manage external resource vendors for applicable projects on the planning of scope, timing, and expected deliverables, and oversee the execution in progress. • Act as a portal for technical communication between external customers/partners and our internal cross-functional teams. • Leverage product documentation and create training materials and guiding documentation to internally arm customer-facing FAE and Sales teams and externally onboard our customers and partners for using our products and solutions. • Work closely with all cross-functional teams globally, including Sales, Product, Software developers, QA engineers, Technical program managers, and external customers to ensure success in promoting our products and solutions collectively. • Monitor, analyze, and optimize the performance of integrated systems, addressing any bottlenecks and ensuring the software runs efficiently.

• Partner with automotive OEMs and Tier 1 suppliers to identify, shape, and prioritize high-impact AI-driven use cases, guiding customers toward scalable and high-leverage solutions • Act as a trusted advisor to customers by shaping problem definition, challenging assumptions, and guiding technical decision-making toward scalable AI solutions • Drive alignment and adoption of solutions by clearly articulating trade-offs, ROI, and long-term architectural implications to technical and executive stakeholders • Design, integrate, and deploy AI/ML-based solutions across cloud and in-vehicle environments, enabling end-to-end vehicle-to-cloud use cases with reliable data flow and system interoperability • Develop and iterate AI models, PoCs, and production-ready solutions, continuously improving performance based on real-world data and customer feedback • Lead technical discussions and solution reviews focused on AI feasibility, model performance, trade-offs, and system limitations • Identify risks related to AI deployment and integration (e.g., data availability, security constraints, model reliability) and drive mitigation strategies • Collaborate with internal teams (AI Platform, Product, Engineering) to enhance AI capabilities, model deployment pipelines, and platform scalability