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Site Reliability Engineer-Finops (18766-1) || St. Louis, MO-C2C- CH

Salary undisclosed

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Role: Site Reliability Engineer

Location:- St. Louis, MO (Day 1 -Onsite, Candidate needs to work 5 Days at the Client Office)

Duration: 12+ Month

Level

Core Skills/Competencies

Score

Critical Concepts

Expert

SRE Observability with DataDog

25

Dashboards, Telemetry, APM, Log pipelines, Custom monitors

Proficient

Tenant Consolidation & Logs Migration

15

Tenant mapping, Log schemas, Migration tools, Data integrity

Proficient

Tools Rationalization & Governance

10

Tool evaluation, Decommission strategy, Policy enforcement

Proficient

Full-Stack Development

10

REST APIs, React/Angular, Node.js, Spring Boot, Instrumentation

Proficient

Cloud Infrastructure (AWS/Azure)

10

EC2, Lambda, Azure Functions, CloudWatch, VPCs

Competent

Infrastructure as Code (IaC)

10

Terraform modules, HCL syntax, Automation pipelines

Competent

Observability FinOps

10

Usage metering, Cost allocation, Licensing optimization

Competent

Scripting & Automation

10

Python, Bash, CLI tools, Cron jobs

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.

Awaiting your quick response. Thanks!

Thanks

Yashasvi Hasija

Technical Recruiter | Empower Professionals

......................................................................................................................................

| Phone: x 368 | Fax:

LinkedIn:

|

Certified NJ and NY Minority Business Enterprise (NMSDC)

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.
Report this job

Role: Site Reliability Engineer

Location:- St. Louis, MO (Day 1 -Onsite, Candidate needs to work 5 Days at the Client Office)

Duration: 12+ Month

Level

Core Skills/Competencies

Score

Critical Concepts

Expert

SRE Observability with DataDog

25

Dashboards, Telemetry, APM, Log pipelines, Custom monitors

Proficient

Tenant Consolidation & Logs Migration

15

Tenant mapping, Log schemas, Migration tools, Data integrity

Proficient

Tools Rationalization & Governance

10

Tool evaluation, Decommission strategy, Policy enforcement

Proficient

Full-Stack Development

10

REST APIs, React/Angular, Node.js, Spring Boot, Instrumentation

Proficient

Cloud Infrastructure (AWS/Azure)

10

EC2, Lambda, Azure Functions, CloudWatch, VPCs

Competent

Infrastructure as Code (IaC)

10

Terraform modules, HCL syntax, Automation pipelines

Competent

Observability FinOps

10

Usage metering, Cost allocation, Licensing optimization

Competent

Scripting & Automation

10

Python, Bash, CLI tools, Cron jobs

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.

Awaiting your quick response. Thanks!

Thanks

Yashasvi Hasija

Technical Recruiter | Empower Professionals

......................................................................................................................................

| Phone: x 368 | Fax:

LinkedIn:

|

Certified NJ and NY Minority Business Enterprise (NMSDC)

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.
Report this job