Job Description

Contract to hire role

must reside in the Minneapolis area

W2 only

We are seeking a Senior Site Reliability Engineer that will be at the forefront of establishing and driving best practices in system reliability performance optimization and observability. With over five years of experience you bring deep expertise in software development and infrastructure operations particularly in building and maintaining scalable dataintensive systems. Your key focus will be on defining and implementing Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to ensure our solutions meet rigorous performance standards. You will work closely with crossfunctional teams to build observability frameworks that empower teams to monitor diagnose and improve system performance proactively. Your leadership and persistence will be vital in identifying and resolving performance bottlenecks ensuring longterm scalability and efficiency across our systems.

What Youll Be Doing...

• Collaborate with development and operations teams to design implement and maintain observability frameworks that provide deep insights into system performance particularly for data and ML pipelines.
• Lead the establishment of Service Level Objectives (SLOs) and Service Level Indicators (SLIs) ensuring they align with business goals and drive continuous performance improvements.
• Partner with stakeholders to understand system performance requirements and translate them into actionable performance engineering strategies.
• Proactively identify performance bottlenecks and collaborate with teams to implement solutions that enhance system scalability and reliability.
• Design and execute performance regression test suites focusing on dataintensive and ML workloads to ensure continuous performance optimization.
• Own the reliability and performance metrics of our systems driving a culture of performance excellence and proactive issue resolution.
• Collaborate with subject matter experts to gain a deep understanding of domainspecific performance challenges particularly in data and ML pipelines.
• Utilize tools like Datadog Jira and GitHub to monitor system performance manage projects and track issues with a strong emphasis on performancerelated metrics.
• Define and monitor success metrics ensuring our systems consistently meet or exceed performance and reliability targets.
• Actively contribute to the continuous improvement of performance engineering practices across the team fostering a culture of excellence in observability and system performance.
• Perform other duties as assigned.

What Youll Bring To Us

• Bachelors degree in Computer Science Engineering or a related field.
• Five years of experience in a sitereliabilityfocused role responsible for establishing reliability standards in a cloudnative environment
• Strong expertise in establishing SLOs/SLIs and building observability frameworks for complex systems.
• Proficiency with cloud services particularly AWS and experience in designing scalable and reliable architectures.
• Handson experience with performance monitoring and observability tools like Datadog.
• Proficiency in version control systems like Git/GitHub and infrastructure as code tools like Terraform.
• Strong interpersonal skills and excellent communication abilities with a focus on driving performance improvements across teams.

Preferred

• Proficiency in Java programming and handson experience with REST Spring and microservices development.
• Proficiency in RDBMS schema design and index utilization

Remote Work :

No

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