Operate and scale Instrumental’s commercial SaaS platform on public cloud infrastructure. Build reliable distributed systems, automate infrastructure and operations, manage Kubernetes and infrastructure as code, and improve monitoring, logging, application performance, security, and compliance. Establish and measure reliability, performance, and efficiency KPIs while independently driving impactful projects in a fast-paced startup environment.
Instrumental builds the manufacturing acceleration platform behind the world’s most complex electronics. We capture digital exhaust and engineering context from assembly lines—images, test logs, BOM data, performance, repair cycles—and our AI engines identify insights that are difficult or impossible for human engineers to find. We accelerate the companies building the AI era by improving manufacturing yield, throughput, and ramp. NVIDIA, Meta, L3Harris, and their manufacturing partners rely on Instrumental to accelerate new product introduction and production.
The Instrumental platform collects, intelligently transforms, and contextually presents manufacturing data to technical end-users, enabling them to optimize their manufacturing process in real-time. Our core technology is proprietary ML algorithms, packaged in an accessible, user-centric user interface – we believe we must have both the best technology and the best access to that technology to win.
Requirements:
- 5 or more years of DevOps or SRE experience deploying and operating commercial SaaS platforms on public cloud infrastructure, AWS preferred.
- Expert knowledge with Linux, shell, containerization, Kubernetes, IaC (terraform preferred), monitoring, logging, and APM tools.
- Proven ability to take initiative and drive impactful projects to completion efficiently and independently.
- Comfort with ambiguity, pace, and frequent pivots inherent in a startup environment, with a track record of creating clarity for teams.
- Experience introducing and integrating AI tools/processes into development and operation workflows.
- Demonstrated skill in setting, iterating on, and measuring KPIs to ensure ongoing performance, reliability and efficiency.
- Network/application security and compliance experience is a plus.
Who You Are:
- Dead serious about performance, scalability, and reliability (PSR): You care deeply about how systems behave in the real world and sweat the details around latency, uptime, and scale.
- Systems engineering & infrastructure expertise: You’ve spent real time building and running distributed systems and know your way around cloud infrastructure, networks, and operating systems.
- Automation, automation, automation: If something is repetitive or error-prone, your first instinct is to automate it and make it disappear.
- Operating in ambiguity & high-growth environments: You’re comfortable making good calls without perfect information and adapting as the system and company grow fast.
- Dependable, trustworthy: People trust you to own problems, show up when things are broken, and follow through.
Security Responsibilities:
- Build and maintain secure, reliable infrastructure that protects company and customer information.
- Partner with Engineering and Security teams to incorporate security best practices into infrastructure design, deployment, and operations.
- Implement security monitoring and alerting to detect and respond to potential threats.
- Maintain and continuously improve infrastructure security standards and practices.
This position requires access to items and data that are developed under U.S. government contracts and subject to dissemination controls that limit access to U.S. Citizens and Green Card holders only.
We’re a growing team that works collaboratively, is supportive of each other, and is highly energized by the opportunity for a large impact. We actively work to promote an inclusive environment, valuing passion and the ability to learn. You’re encouraged to apply even if your experience doesn’t precisely match the job description!
The following is a representative annual base salary range for this position within the Bay Area: $175,000-$205,000. We consider candidates at multiple levels for this role. Job level and salary opportunities are evaluated through our interview process – we review the experience, knowledge, skills, and abilities of each applicant.
Instrumental is proud to offer a highly-rated variety of benefits, including health, vision, dental, commuter plans, and parental leave.
At Instrumental, protecting company and customer information is a shared responsibility. Employees are expected to comply with company engineering, security, access control, and privacy policies, and promptly report suspected security incidents or policy violations.
Similar Jobs
Fintech • Software
The Senior Site Reliability Engineer maintains resilient, observable SaaS platforms through monitoring, alerting, automation, CI/CD, infrastructure as code, and performance optimization. The role leads incident response, triage, root-cause analysis, and 24/7 on-call operations while applying AI/AIOps for predictive reliability and automated remediation. Responsibilities include supporting cloud infrastructure, Kubernetes environments, production security, database performance, SLOs, SLAs, and continuous improvements in collaboration with software engineering teams.
Top Skills:
.NetAiopsAksAnsibleAppdynamicsAWSAzureAzure DevopsBashC#Ci/CdCloud NetworkingCloudopsCosmos DbDatadogDockerDynatraceEksFirewallsHarnessInfrastructure As CodeJavaJenkinsKubernetesLoad BalancingNew RelicPowershellPythonSQLTerraform
AdTech
Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.
Top Skills:
Amazon KinesisAWSAws LambdaAws SnsBigQueryClaude CodeCloudsqlCursorDatadogDockerGCPGitlabGoogle Cloud FunctionsGoogle Cloud RunGoogle Pub/SubGrafanaHelmIstioKafkaKubernetesMySQLPrometheusSpannerTerraform
Cloud • Security • Software • Cybersecurity
Analyzes large-scale telemetry and datasets to identify content delivery performance and reliability issues. Builds software tools to automate analytical workflows and enable autonomous diagnosis. Applies statistical analysis, machine learning, networking, and distributed-systems expertise to develop targeted platform improvements. Defines and mines internal data feeds, establishes performance indicators, and partners with Engineering, Operations, and Product teams to guide feature and process adoption.
Top Skills:
CC++Distributed SystemsDnsHTTPMachine LearningPythonTcpTls
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
