Senior Infrastructure Engineer

AI overview

Engineers will develop a scalable, observable platform for data processing while enhancing CI/CD, security, and operational efficiency.

About Northbeam

Northbeam is building the world’s most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth.

We’re experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you’ll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We’d love for you to be part of our journey.

We’re a remote-friendly company with offices in San Francisco and Los Angeles.

About the Role

Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, ads, or games. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, robust data ingest APIs, correct aggregations, and algorithmic insights on top of that data, all packaged up in a user-facing application.

As an Infrastructure Engineer at Northbeam, you will work with a small engineering team to create a scalable, observable, reliable platform for data ingestion, processing, and serving. Responsibilities will range widely and evolve, as they tend to at startups. The following all fall within the Infrastructure team’s remit:

  • CI/CD and dev infrastructure
  • Security
  • DR policies
  • SSL cert management and DNS
  • Infrastructure as Code
  • Capacity planning and budgeting
  • Observability
  • Scaling plans and automation
  • Guidance for best use of cloud infrastructure 
  • … and more

Success in this role will require significant existing experience, interest in continuously learning and iterating on existing solutions, a penchant for automation over “clickops” and one-offs, and ability to effectively collaborate with engineers, auditors, product managers, and more.

Your Impact

You’ll wear many hats, juggle diverse tasks, and probably find yourself learning new skills on the fly – while also teaching a few. If you thrive on variety and love diving in, you’ll fit right in. Here’s a taste of what might come up on any given week:

  • Improve Observability: work with engineering to iterate on alerts and dashboards, help standardize and automate monitoring practices. 
  • Automate All the Things: Pre-configured services, networking rules, access grants, the whole deal.
  • DevEx Par Excellence: Improve and iterate on “golden paths” to simplify the work for developers to create new services that have great CI/CD, deployment environments, secrets, routing, and beyond.
  • Tame Noisy Alerts: Hunt down the root causes of noisy alerts and tweak configurations so we only hear from the system when it matters. “Just see if it goes away” is not an acceptable reaction to an alert. Not on your watch.
  • Security Meets Sanity: Stay on top of patching, pen-testing, training, work to ensure the system is secure and meets the requirements of customers and auditors.
  • Capacity Management: Regularly audit cloud spend to identify and act on savings opportunities or misallocated resources; manage long-term compute reservations and monitor utilization; propose and implement improvements.

You will work with great people who have done this many times before. You will teach them some new tricks, and maybe learn some old ones.

You’ll be a key player in keeping our platform reliable, efficient, and scalable. We’ll laugh, we’ll cry, we’ll tell stories of yore. If this sounds like your kind of chaos, we’d love to hear from you.

What You Bring 

  • Cloud Expertise: Solid hands-on experience with cloud computing and a knack for automating infrastructure. 
  • Programming: Very comfortable developing (and debugging!) automation in Python, and bridging between software engineers’ service code and problems to how they manifest in the infrastructure and metrics.
  • Automation: You are expert level at Terraform and Atlantis; you can discuss differences and nuances of TF, Puppet, Chef, CF, and others at length.
  • Observability Know-How: Familiarity with monitoring and observability tools (e.g., Grafana, Prometheus, Datadog). 
  • Problem Solving: A track record of resolving on-call issues and staying cool under pressure.
  • Collaboration: Comfortable working cross-functionally with engineering, data, product, and management teams.
  • Documentation Skills: You can write clear, concise technical documentation that other humans can actually follow.

Bonus Skills & Experience 

  • Experience working in marketing, e-commerce, or ad-tech.
  • Basic familiarity with SQL and ETL processes.
  • Understanding of database admin process and automation (user provisioning, backups, cloning and replication, index management, etc).
  • GCP specific experience
  • Kubernetes experience

If you meet most of the “Requirements” and a sprinkle of the "Nice to Haves," we’d love to hear from you!

Base Salary Range
$180,000$210,000 USD

Actual compensation may vary based on experience, skills, and location.

In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.

Interview Process
The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder.  The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.

We accept applications on an ongoing basis.

Perks & Benefits Extracted with AI

  • Home Office Stipend: $500 work-from-home stipend to support your remote setup.
  • Paid Time Off: Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave.

Northbeam: Marketing intelligence platform using machine learning to optimize ads and deliver actionable insights for DTC and ecommerce brands.

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Salary
$180,000 – $210,000 per year
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