Principal Site Reliability Engineer, Parallel Domain
Synthetic data for computer vision and perception
Be an early applicant
Synthetic data for computer vision and perception
21-100 employees
Be an early applicant
21-100 employees
Company mission
To speed up the transition to autonomy by leveraging synthetic data.
Role
Who you are
- 5+ years in SRE, DevOps, or infrastructure engineering roles
- Infrastructure-as-code proficiency - Terraform modules, state management, and multi-environment patterns
- Deep AWS experience - EKS, EC2, IAM, S3, Storage Gateway, VPC networking, Transit Gateway, CloudFront, KMS, and IRSA
- Kubernetes expertise - cluster operations, node pools, probes, cordoning, pod scheduling, RBAC, Helm, node autoscaling (Karpenter experience a plus); solid understanding of containerization and AMI lifecycle management
- CI/CD - experience with GitOps workflows and pipeline tooling (ArgoCD, GitHub Actions, Jenkins)
- Solid networking fundamentals - CIDR design, security groups, DNS, load balancing, VPN, cross-region connectivity
- Experience with monitoring and observability tooling - Prometheus, Grafana, Elasticsearch
- Comfort with Python and Bash for tooling and automation
- Familiarity working across Linux and Windows environments. Operational familiarity with Windows Server is a meaningful advantage
- You communicate clearly across engineering, product, and customer-facing teams, flagging issues with urgency proportional to customer impact
- You advocate for SRE best practices and can effectively operationalize an informed and principled view on security
- You take end-to-end ownership of complex, multi-team efforts - from planning through execution and post-change verification
- You know when to push for a clean solution vs. when to accept a pragmatic one, and you communicate that tradeoff clearly
Desirable
- Experience with Windows-based workloads on EKS
- Experience supporting simulation, ML, or rendering workloads in cloud infrastructure; running GPU workloads on Kubernetes, including NVIDIA and DirectX device plugin configuration
- Experience with AWS Storage Gateway or Transfer Family integrations
- Familiarity with Envoy Gateway or similar
- Experience with container-optimized OS images (e.g., Bottlerocket, Packer)
- Experience with cloud cost optimization at scale
What the job involves
- Parallel Domain is looking for a Principal Site Reliability Engineer to own the reliability, scalability, and security of our cloud infrastructure - the backbone that runs simulation workloads for some of the most demanding customers in autonomous vehicle development
- This is a hands-on, high-ownership role. You'll be the primary infrastructure owner across our multi-region AWS/EKS platform, working closely with a small platform engineering team, partnering with engineering leads across simulation and ML, and our customer-facing teams
- Own and evolve our AWS-based infrastructure, improving platform performance and availability today, and building toward deployable configurations that support enterprise customer environments tomorrow
- Own EKS cluster operations across production regions: node pool strategy, AMI lifecycle, autoscaling, and Kubernetes workload health
- Support the GitOps deployment pipeline - define, deploy, and manage applications across clusters using infrastructure-as-code
- Manage complex networking: VPC design, cross-region connectivity, DNS, and load balancing
- Lead infrastructure deprecation and migration efforts with minimal disruption
- Own SLO measurement infrastructure; enable proactive triage of emerging issues before they impact customers
- Lead incident investigation, root cause analysis and postmortems, driving systemic fixes rather than one-off patches
- Design and improve automated remediation systems to reduce MTTR
- Review and provide security-conscious feedback on platform architecture decisions
- Own cloud IAM governance - roles, policies, and access boundaries across accounts and services
- Lead compliance-adjacent work including audit-readiness, partner certification requirements, and supporting responses to customer security questionnaires
- Partner with application development teams to build an inherently secure platform and drive next-generation deployment architecture
- Partner with customer teams to ensure availability for expected utilization
- Partner with Finance on cloud cost optimization - lifecycle policies, right-sizing, and spend visibility
- Support GPU and batch workloads in collaboration with simulation and ML engineering teams
- Improve CI/CD pipelines and automated infrastructure validation
- Support engineering teams with infra-side debugging, log analysis, and environment configuration
Our take
Autonomous vehicles are fast making the leap from science fiction to reality. However, there are huge safety implications that need to be addressed. Parallel Domain has developed software for training autonomous vehicles in a virtual setting, reducing the risks associated with real-world testing and giving vehicle manufacturers the ability to identify problems and put them right, before the vehicle ever hits the road.
Founded in 2017, Parallel Domain leverages synthetic data to train and test the vision and perception systems for AVs. Clients can customise training environments with parameters such as weather, lighting, and distribution of agents, allowing them to model specific situations, including rare ones that would be unlikely to occur in real-world training. This results in AIs that behave better and more safely in novel situations.
Parallel Domain has seen significant investment that will fuel operational expansion and increase business reach. With the value of synthetic data quickly becoming apparent, the company is positioned well to benefit from those wishing to train their autonomous vehicle AIs faster and more efficiently.
Steph
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2022
$30m
SERIES B
Dec 2020
$11m
SERIES A
Total funding: $43.9m
Company benefits
- Flexibility to work from our office in the San Francisco Bay Area or your home office
- Competitive compensation
- Employer-paid supplemental medical, mental health, dental, and vision benefits
- 401(k)
- Paid vacation and sick time, winter shutdown, and 11 stat holidays each year
- Paid parental leave
- New hire equipment + accessories budget to optimize your setup
- $1,500 annual learning and development allowance
Company HQ
Financial District, San Francisco, CA
Leadership
Kevin McNamara
(CEO)They studied Computer Science at Harvard before working for almost 3 years as a Microsoft Technical Artist. They left their Procedural Content Lead at Apple in July 2017 to found Parallel Domain, where they have served as CEO since.
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