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Sr. Site Reliability Engineer (SRE)

Kalamazoo, MI, US • Posted 10 hours ago • Updated 10 hours ago

Contract W2

Contract Corp To Corp

Contract Independent

12 Months

No Travel Required

Able to Sponsor

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Amazon RDS
Amazon S3
Bash
Cloud Computing
DevOps
ELT
Extract, Transform, Load
Databricks
Microsoft Azure
Incident Management
Python
Scripting
Software Engineering
Unity
Dashboard
Quality Assurance

Summary

Job Title: Sr. Site Reliability Engineer (SRE)

Duration: 9-12 Months Contract

Location: Kalamazoo, MI (3 days a week hybrid) _ Need only Locals

Summary:

The Site Reliability Engineer (SRE) is responsible for improving the reliability, availability, performance, and operability of client’ supported software systems. This role combines software engineering and IT operations to automate operational work, monitor system performance, and reduce toil. The SRE establishes and manages monitoring, alerting, incident response, and problem management practices to ensure applications remain available and performant during updates and failures. The role partners with engineering, architecture, and product teams to define reliability standards and production readiness requirements. SRE is a practical implementation of DevOps focused on maintaining software quality in fast-paced development environments.

Job Description:

Required:

Strong grounding in SRE/DevOps practices: incident management, blameless postmortems, SLOs/SLIs, error budgets, production readiness.
Experience building/operating monitoring and alerting, and using logs/metrics to diagnose issues.
Automation/scripting skills (e.g., Python, PowerShell, Bash) and ability to reduce manual operational work.
Strong understanding of cloud-based platforms such as Azure DataBricks + Unity Catalog, AWS S3 and RDS.
Strong experience in ETL / ELT work.
Understanding of CI/CD concepts, safe deployment patterns, rollback strategies, and change risk controls.

Preferred

Experience with cloud environments and infrastructure-as-code.
Experience with large datasets (Multi-million row datasets).
Experience with container orchestration and modern runtime platforms (where applicable).

Experience building dashboards and reliability reporting for executives and delivery teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111282
Position Id: 9023487
Posted 10 hours ago

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