• Lead end-to-end deployment of autonomous robotic systems at customer facilities. • Conduct site surveys and assess automation readiness, infrastructure constraints, and ODD requirements. • Generate 3D and semantic maps and validate localization and navigation performance. • Install, configure, calibrate, and commission robotic systems in live production environments. • Train customer operators, maintenance teams, and site stakeholders; manage handoff to support. • Work directly with the Customer Solutions Engineering team to take their designs in a handoff and perform a full implementation and betterment of these designs. • User Acceptance Testing (UAT): Define and lead the final testing phase during the implementation, proving to the customer that the system meets all safety and throughput Key Performance Indicators (KPIs). • Perform the handoff and orientation of the vehicle with the customer as well as part of the handoff. • Act as the primary technical point of contact during deployments and early operations. • Work directly with customer IT teams to configure networks, resolve firewall/port issues, and ensure reliable connectivity. • Run regular performance reviews with customers, using data to drive operational improvements and adoption. • Head the deployment of the routes on site, and coordinate with the customer to make sure these routes remain optimized overtime. • Analyze robot logs, sensor data, and system metrics using tools such as Foxglove, RViz, RQT_Bag, and PlotJuggler. • Diagnose hardware, software, perception, and infrastructure issues in the field. • Own incident resolution across Tier 1–3 support, ensuring fast MTTR and clear root-cause documentation. • Monitor fleet health and KPIs using Grafana and internal dashboards. • Provide structured feedback from the field to Product, Engineering, QA, and Perception teams. • Support validation activities including FoV studies, data collection, and perception audits. • Collaborate with OEM partners to integrate robotics hardware and software into new vehicle platforms. • Build and maintain scalable deployment playbooks, checklists, and Jira-based workflows.

• Automate and scale infrastructure provisioning using Infrastructure-as-Code to support self-service for engineering teams • Maintain and improve CI/CD pipelines, tooling, and deployment workflows across multiple services • Monitor and troubleshoot systems to ensure high availability, performance, and reliability • Drive incident response, root cause analysis, and collaborate with teams to resolve infrastructure or deployment issues • Optimize cloud infrastructure for performance and cost, leveraging metrics and usage analysis • Evaluate and implement new tools and services that improve our DevOps practices and developer experience • Collaborate across teams to ensure cloud best practices and knowledge sharing • Participate in a light on-call rotation to support infrastructure-related needs

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Site Reliability Engineering team in CaptivateIQ operates across the engineering organization, supporting our development teams by providing them with the tools and processes they need to get their job done well. We ensure that the service provided by our product is great for the paying customers and when it isn’t we ensure that the business is well informed. We do this by providing infrastructure, platform, reliability, and observability support to our internal customers to help them achieve their goals. The team are thoughtful and pragmatic engineers who balance doing things right versus doing things right now. We invest in iterative efforts to refine or pivot our work, deliver real-world results, and reflect on the process in order to improve it incrementally. We are fully remote and invest in written communication for long term institutional memory while valuing the synchronous time we have together in order to build and strengthen our relationships. Location: San Francisco Bay Area, CA (Menlo Park) / Hybrid or Remote Responsibilities - Learn by reading and writing designs, documentation, runbooks, and industry literature - Partner with development teams to design and implement reliable and resilient services - Build infrastructure automation that’s easy to use by other teams - Develop observability processes, reports, and tooling to diagnose performance and stability issues - Eliminate toil by automating manual processes - Ensure we exceed our compliance and security commitments - Act in an ethical and professional manner Requirements - 5+ years of experience in Software Engineer, SRE or DevOps roles - Strong written and verbal communication skills (We use Slack, Notion, and Github) - Experience with Infrastructure as Code (We use Terraform and AWS) - Experience with containers and container orchestration tools (We use ECS) - Experience with authoring and maintaining code (We use Bash, Python, and Golang) - Experience with using and helping others observability tools and techniques (We use Datadog) - Love for the Oxford comma (We use, love, and respect it) Nice to Haves - Experience with cloud cost management and FinOps - Experience in building, maintaining, and operating SaaS or Web based applications - Experience with distributed system principles their application - Experience building and operating multi-region or cell based applications - Experience with managing cloud vendor relationships - Experience with compliance and regulated environments (We use SOC2 and HIPAA) Benefits - (US-ONLY) 100% of medical, dental, and vision covered including 75% for dependents - Vacation days and quarterly mental health days so you can recharge - (US-ONLY) 401k plan to participate in and save towards the future - Apple products to help you do your best work - Resource Groups (ERGs) to support and celebrate the shared identities and life experiences of communities within CaptivateIQ. - ERGs directly support our company-wide DEI goals as a space for developing and retaining diverse talent Notice to Prospective Candidates - Only emails from @captivateiq.com should be trusted. - We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. - Please note, we will never do the following: - Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc. - Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology. - Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ. - Ask candidates to make a payment in order to be considered for a position. - Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc. - Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made. - Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime. Compensation $195,700 - $225,000 a year. The base range represents the minimum and maximum for this position in the San Francisco Bay area. The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ's competitive total rewards package. E-Verify CaptivateIQ participates in E-Verify, a web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States. AI Tools We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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