Senior Platform Engineer
San Francisco HQ
Full Time Senior-level / Expert USD 190K - 220K
Alembic
Uncover marketing success with Alembic's AI-driven analytics. Predict revenue outcomes, optimize media spend, and gain actionable insights in real-time.About Alembic
Alembic is a fast-growing Series A software startup focused on building cutting-edge solutions that transform how businesses harness and leverage data. We are a team of innovators, engineers, and product leaders passionate about solving complex problems with scalable, data-driven technology.
We apply cutting-edge algorithms and composite AI solutions to provide a new approach for marketing data analytics. We’re backed by leading tech luminaries and innovators including WndrCo, founded by DreamWorks founder Jeffrey Katzenberg, Jensen Huang, Joe Montana, and many more.
About the Role
We’re looking for a Senior Platform Engineer to help evolve and scale the systems that power Alembic. This is a high-impact, foundational role where you’ll drive platform scalability from the ground up.
What You’ll Do
Design, build, integrate, and operate the foundational infrastructure that powers Alembic’s platform—including core services, data pipelines, and distributed AI/ML workloads—across both cloud (primarily AWS) and on-prem environments.
Leverage Infrastructure as Code (IaC) tools such as Terraform for cloud resource provisioning and Ansible for configuration management, enabling repeatable, auditable, and environment-agnostic infrastructure deployments.
Develop and maintain CI/CD pipelines that enable reliable, low-risk, and rapid deployments using modern tools like GitHub Actions, ArgoCD, Bazel, or equivalent, with automated testing, rollback, and deployment workflows.
Establish and operate robust observability systems, including metrics, logging, and distributed tracing, using tools like Prometheus, Grafana, Datadog, and OpenTelemetry to ensure proactive incident detection and diagnosis.
Collaborate closely with the AI Research team to deploy and manage novel ML algorithms and drive next generation work on GPU-based development efforts.
Serve as a technical mentor and thought leader, promoting best practices in system design, infrastructure reliability, and code quality across the engineering organization.
What Will Help You Succeed
15–20 years of engineering experience, including significant time spent on platform, infrastructure, or DevOps/SRE teams.
Deep experience with AWS (or GCP/Azure), container orchestration with Kubernetes, and service discovery at scale.
Strong grasp of DevOps principles, infrastructure as code (Terraform, Ansible), and immutable infrastructure.
Experience deploying and operating production systems in fast-paced environments, ideally early- or growth-stage startups.
Proficiency in systems or scripting language (e.g., Python, Bash).
Experience with secure networking, secrets management, and managing systems in compliance-heavy environments.
A bias for simplicity, automation, and building tools that empower developers.
A hands-on, in-the-weeds approach and a collaborative mindset. You’re as comfortable fixing a broken pipeline as designing the future of our platform.
Why you might be excited about Alembic:
You want to build something that is both technologically challenging and solves a real customer need. You want a role with major upside that tackles a massive market opportunity.
You are a serial startup builder or want to learn more before becoming a founder yourself. Our team holds deep experience building and selling B2B marketing solutions that work.
You want to work where you can take a big swing at building something big while maximizing your personal growth.
Why you might NOT excited about Alembic:
If you only want to tell people instead of building and coding alongside them — and on your own — then we’re not the environment for you.
You prefer company practices with 100% built out process for every little detail.
You prefer static over dynamic. Projects, priorities, and roles will adapt to your skill set and your goals. Though we have a playbook for growth, we proudly remain an early stage startup.
Tags: Ansible AWS Azure Bazel CI/CD Data Analytics Data pipelines DevOps Engineering GCP GitHub GPU Grafana Kubernetes Machine Learning Pipelines Python Research Terraform Testing
Perks/benefits: Career development Startup environment
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