Software Site Reliability Engineer

CoorsTek; United States; On-site; USD 115,000 - 155,000; Full time

Benefits offered by this job

Paid Time Off

Medical, Dental, Vision Benefits

401K Matching

Performance-Based Bonuses

Job summary

CoorsTek is looking for a dedicated Software Site Reliability Engineer to enhance their Databricks application strategy. Your role will focus on ensuring the reliability, security, and observability of solutions built on Databricks.

Key responsibilities include supporting production applications, implementing observability standards, and collaborating with various teams to optimize service delivery. Candidates should have a strong foundation in site reliability engineering and cloud operations.

Qualifications

• 5+ years of experience in site reliability engineering or related fields.
• Experience supporting cloud or data platforms in production environments.
• Knowledge of incident management and monitoring practices.

Responsibilities

• Support production reliability and operational readiness.
• Implement observability standards and monitor applications.
• Coordinate troubleshooting and participate in incident response.

Skills

Site Reliability Engineering

Databricks

Python

SQL

Cloud Operations

DevOps

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

Databricks

Azure

Git

CI/CD Pipelines

Job description

Job Overview

It is exciting to work for a company that makes the world measurably better. We are committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.

We are seeking a Software Site Reliability Engineer to support CoorsTek's Databricks application and data product strategy by ensuring solutions built, migrated, and deployed on Databricks are reliable, secure, observable, supportable, and cost‑effective in production.

Responsibilities

• Support production reliability, operational readiness, and lifecycle support for Databricks‑hosted applications, data products, dashboards, notebooks, jobs, workflows, APIs, and AI‑enabled solutions.
• Support applications migrated to Databricks, built directly in Databricks, or promoted from citizen development and IT development into governed production patterns.
• Execute intake, review, handoff, support, and release practices for Pattern B Databricks applications, including minimum requirements before production deployment.
• Partner with citizen developers, IT developers, data engineers, enterprise architects, and business stakeholders to convert prototypes into reliable, monitored, documented, and supportable services.
• Implement and maintain observability standards, including logging, alerting, health checks, SLI/SLOs, lineage, usage monitoring, cost monitoring, and operational dashboards.
• Respond to incidents, coordinate troubleshooting, participate in root‑cause analysis, and support corrective actions for failed jobs, broken pipelines, access issues, performance issues, data refresh failures, and application outages.
• Maintain and update runbooks, support procedures, escalation paths, ownership models, service catalogs, and knowledge articles for Databricks applications and data products.
• Partner with Data and Analytics on Databricks workflows, Delta Lake, Unity Catalog, data lineage, permissions, SQL warehouses, jobs, clusters, serverless capabilities, and performance tuning.
• Partner with Cybersecurity and Architecture to ensure Databricks solutions meet standards for identity, access, secrets management, logging, data classification, responsible AI, and least‑privilege access.
• Support CI/CD, testing, environment promotion, release controls, rollback procedures, and change management for Databricks applications and related Azure or integration components.
• Identify recurring failure patterns and assist with automating manual support work, reducing operational toil, and creating reusable templates and standards.
• Advise teams on production‑ready design, including resiliency, scalability, maintainability, cost control, data quality checks, monitoring hooks, and clear ownership.
• Collaborate with manufacturing, finance, supply chain, quality, and other business teams to understand impact, prioritize recovery, and maintain trust in critical Databricks‑supported solutions.
• Support governance for citizen‑built solutions by ensuring business‑created applications have appropriate documentation, testing evidence, security review, support model, and IT transition plan before broad use.
• Monitor and problem‑solve service health, support metrics, incidents, problem records, platform risks, and improvement backlog items for Databricks applications and data products.
• Design and develop automation, self‑healing workflows, monitoring integrations, and operational tooling using Python and cloud‑native technologies.

Requirements

• Education: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Systems Engineering, or a related field required. Master’s degree preferred.
• Experience: 5 or more years of progressive experience in site reliability engineering, data platform engineering, cloud operations, DevOps, software engineering, data engineering, or production application support. 3 or more years supporting cloud, data, analytics, application, or platform services in production environments preferred.
• Experience with Databricks, Delta Lake, Unity Catalog, SQL, Python, PySpark, notebooks, jobs/workflows, SQL warehouses, clusters, or lakehouse architecture.
• Experience operating applications through incident management, problem management, change management, monitoring, release management, and production readiness practices.
• Preferred experience with Azure, CI/CD pipelines, Git‑based development, infrastructure patterns, logging, alerting, automation, and support runbooks.
• Preferred experience supporting data pipelines, analytics products, dashboards, APIs, AI‑enabled applications, or business‑critical reporting environments.

Skills & Capabilities

• Strong understanding of SRE, DevOps, IT operations, and production support practices, including reliability, observability, automation, incident response, and operational excellence.
• Working knowledge of Databricks platform capabilities, including Delta tables, notebooks, workflows/jobs, SQL, Unity Catalog, lineage, permissions, compute configuration, and governed access patterns.
• Ability to troubleshoot Databricks jobs, pipelines, notebooks, SQL queries, permissions, data refreshes, performance issues, and environment or integration failures.
• Ability to write and review SQL and Python; PySpark, scripting, API, and automation experience preferred.
• Ability to define operational readiness standards for applications created by citizen developers, IT teams, consultants, and data engineering teams.
• Strong understanding of monitoring, alerting, logging, service health, SLOs, runbooks, release controls, rollback planning, and root‑cause analysis.
• Ability to balance speed, business enablement, cybersecurity, supportability, cost control, and long‑term platform sustainability.
• Ability to partner effectively with Data and Analytics, Cybersecurity, Architecture, Infrastructure, Enterprise Applications, Manufacturing IT/OT, and business stakeholders.
• Strong documentation and communication skills, including support models, knowledge articles, architecture notes, production checklists, escalation paths, and operational dashboards.
• Ability to manage multiple production priorities, operate calmly during incidents, drive follow‑through on corrective actions, and influence teams without direct authority.

Preferred Certifications

• Relevant Databricks certifications, including Data Engineer, Data Analyst, Machine Learning, or Lakehouse Fundamentals.
• Relevant Microsoft Azure, DevOps, cloud engineering, cybersecurity, ITIL, SRE, observability, or data engineering certifications.
• ITIL Foundation, Azure Administrator, Azure Developer, GitHub, Terraform, Kubernetes, or related platform operations certifications are a plus.

Position Details

• Location: Golden, CO (on‑site)
• Work Authorization: Requires U.S. Person status (U.S. citizen, a Green Card holder, or a protected refugee/asylee)
• Target Hiring Range: USD 115,000.00 – USD 155,000.00

EEO Statement

CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job‑related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation.

Benefits

• Paid Time Off
• Medical, Dental, Vision Benefits
• Company‑Matched 401K (USA only)
• Company‑Matched Pension Plan (CANADA only)
• HSA (Health Savings Account) with Company Contribution
• Wellness Reimbursement Program (USA only)
• Voluntary Benefits (Pet Insurance, Legal Insurance, Accident Insurance, Critical Illness Insurance & more) (USA only)
• Safety Programs (reimbursement for safety shoes and company provided safety glasses)
• Performance‑Based Bonuses for all Employees
• Employee Recognition Programs
• Mentorship Program
• Community & Volunteer Events & MORE!