Sr Software Engineer, Infrastructure
Databricks · San Francisco, California · Infrastructure · listed April 21, 2026
The shape of it
Seniority
Senior
Experience asked
5+ years
Where
Hybrid
Stated pay
$159,900 – $219,900 USD
Requirements listed
8
Length
798 words
In the posting’s own words
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.
What it asks for · 8
- 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.
What the job covers
- 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.
Tools and skills named
Cloud & infra
- Observability4×
- AWS3×
- Azure2×
- CI/CD2×
- GitHub Actions2×
- Kubernetes2×
- Terraform2×
- Datadog
- Distributed systems
- Docker
- GCP
- Kafka
- Prometheus
- Site reliability
Data
- Data pipelines
- Databricks
Security & compliance
- Security2×
Languages
- Python
Ways of working
- Code review
Words the posting leans on
- infrastructure10×
- experience4×
- observability4×
- systems4×
- aws3×
- mindset3×
- proficiency3×
- software engineering3×
- applications2×
- architect2×
- automation2×
- breadth2×
- build2×
- building2×
- ci/cd2×
- concepts2×
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