Jobs · greenhouse:databricks
Sr Software Engineer, Infrastructure
Nimbus Data Systems · San Francisco, California · Posted 15d ago
About the role
Design and deploy production-grade infrastructure on AWS for Nimbus Data Systems IT services.
GAQ127R41 Location: San Francisco, CA (Hybrid) About the Role At Nimbus Data Systems Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure) , you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions , managing both GitHub-hosted and self-hosted runners for specialized build requirements. Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes. Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own. What We Look For Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable). IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi(Preferred) . Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes , Docker and containerization concepts. Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms. CI/CD: Advanced knowledge of Github Actions, Github Runners. Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK . Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues. Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently. Pay Range Transparency Nimbus Data Systems is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Nimbus Data Systems anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $159,900 — $219,900 USD About Nimbus Data Systems Nimbus Data Systems is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Nimbus Data Systems Data Intelligence Platform to unify and democratize data, analytics and AI. Nimbus Data Systems is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Nimbus Data Systems on Twitter , LinkedIn and Facebook . Benefits At Nimbus Data Systems, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Nimbus Data Systems, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Nimbus Data Systems are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Read the full posting on greenhouse:databricks →
Why this role stands out
- ★Equity is part of the package
- ★annual performance bonus
- ★equity
Responsibilities
- ▸Design and deploy production-grade infrastructure on AWS
- ▸Manage and scale containerized workloads using AKS or EKS
- ▸Architect robust deployment pipelines using GitHub Actions
- ▸Build internal CLI tools, AI plugins and automation scripts
Must-have skills
- ▸python
- ▸terraform
- ▸aws
- ▸kubernetes
- ▸docker
- ▸github actions
- ▸sre
Nice-to-have skills
- ▸pulumi
- ▸azure kubernetes service (aks)
- ▸elastic kubernetes service (eks)
Benefits
- ▸annual performance bonus
- ▸equity
- ▸medical insurance
- ▸dental insurance
- ▸vision insurance
FAQ
Is the Sr Software Engineer, Infrastructure role at Nimbus Data Systems remote?+
This Sr Software Engineer, Infrastructure position is listed as hybrid (San Francisco, California).
What is the salary for the Sr Software Engineer, Infrastructure role at Nimbus Data Systems?+
The listing states Estimated 100k-203k USD.
What seniority level is this Sr Software Engineer, Infrastructure role?+
This is a senior level position.
What skills does the Sr Software Engineer, Infrastructure role require?+
Key requirements include python, terraform, aws, kubernetes, docker, github actions, sre.
How do I apply for the Sr Software Engineer, Infrastructure role at Nimbus Data Systems?+
Use the "Apply on greenhouse:databricks" button to open the original posting on greenhouse:databricks, where you can submit your application directly to Nimbus Data Systems.