Looking for Site Reliability Engineer—St. Louis, MO –Need locals

Hello,

This is Tejaswini Senior Lead Recruiter from Metasis Information Systems

This is in reference to the following position

Site Reliability Engineer

Job Location:- St. Louis, MO

Note from the client:- look for stronger SRE-focused CVs rather than DevOps / CloudOps resources with SRE experience. I suggest looking for folks that had worked in SRE role for one of the major hyperscalers in the past 3 years. look for tech stack we use in RGA as well as strong focus on Observability and Open Telemetry framework.

•              We are seeking an SRE Engineer with extensive experience in implementing observability solutions, particularly utilizing DataDog.

•              The ideal candidate will have a strong background in tenant consolidation, logs migration, existing tools rationalization, governance, observability expansion, and observability FinOps.

•              A full-stack development skill set is highly desirable.

Key Responsibilities

•              Design and Implementation: Implement scalable full-stack observability solutions using DataDog to monitor application performance and system health.

•              Tenant Consolidation: Lead efforts in consolidating multiple tenant environments to streamline observability processes and improve efficiency.

•              Logs Migration: Migration of logs from legacy systems to DataDog, ensuring data integrity and accessibility.

•              Tools Rationalization: Evaluate existing monitoring tools and recommend consolidation strategies to enhance observability capabilities.

•              Design, implement, and maintain scalable and reliable systems across multi-cloud environments.

•              Develop and optimize telemetry pipelines for metrics, logs, and traces using DataDog tools.

•              Collaborate with engineering teams to integrate observability best practices into development workflows.

•              Automate repetitive tasks and improve system efficiency through scripting and tooling.

Experience:

•              8+ years of experience in software engineering or SRE roles, with a focus on production systems at scale.

•              At least 5  years of hands-on experience with DataDog , including SaaS implementations.

•              Expertise in at least one programming language (e.g., Java, Python, etc.) and infrastructure-as-code tools (e.g., Terraform).

•              Experience with telemetry data processing and observability tools.

Technical Skills:

•              Strong knowledge of observability tools, particularly DataDog.

•              Experience with cloud-based architectures (AWS, Azure).

•              Familiarity with full-stack development (frontend and backend technologies).

•              Proficient in scripting languages (Python, Shell) for automation tasks.

•              Excellent communication skills to liaise effectively with technical teams and stakeholders.

•              Strong analytical and problem-solving abilities to troubleshoot complex issues.

•              Ability to work independently as well as collaboratively within a team environment.

Thanks & Regards,

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