Senior Specialist - Software Engineering

LTM

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software engineering or platform engineering
  • Strong expertise in Site Reliability Engineering (SRE) and observability practices
  • Hands-on experience with Dynatrace for monitoring and analytics
  • Familiarity with automation frameworks and workflow orchestration tools
  • Exposure to AI-assisted development tools and methodologies
  • Ability to design intelligent dashboards and insights solutions
  • Excellent communication and client-facing skills

Responsibilities

  • Join engagement teams focused on observability and DevOps transformation
  • Design and implement scalable and reliable platform engineering solutions
  • Build and manage end-to-end observability frameworks using Dynatrace
  • Develop intelligent dashboards and automate monitoring insights
  • Drive the integration of AI tools into engineering practices
  • Implement predictive monitoring and automation capabilities
  • Continuously improve system performance and operational efficiency

Benefits

  • Opportunity to work in a highly collaborative, client-facing environment
  • Engagement with cutting-edge AI-driven engineering practices
  • Focus on innovation in observability and platform engineering
  • Potential for professional growth in an AI-enabled landscape
Full Job Description
Role description

Job Title: Senior Specialist - Software engineering (Observability Platform Engineer)

Work Location- Alpharetta, GA

Job Description:

Highly capable Onshore Engineers join engagement teams focused on Platform Engineering Observability AI Enablement and DevOps transformation.

The roles require strong technical depth, proactive ownership and the ability to operate in a highly collaborative client-facing environment.

Strong expertise in Platform Engineering SRE Observability.

Handson experience with Dynatrace mandatory.

Experience in automation frameworks and workflow orchestration.

Exposure to AI assisted development tools and practices.

Ability to create intelligent dashboards and analytics solutions.

Understanding of predictive monitoring and AIOps concepts.

Design and implement platform engineering solutions with a strong focus on scalability and reliability.

Build and manage end-to-end observability frameworks using Dynatrace full agent mode enterprise-wide deployment logging monitoring analytics.

Develop intelligent dashboards and automate monitoring insights.

Drive AI enabled engineering practices included.

Leveraging AI tools like Codex and Claude.

Embedding AI into engineering workflows.

Implement predictive monitoring and ing capabilities.

Design and deploy automated workflows and runbook automation.

Continuously improving system performance reliability and operational efficiency.

Excellent communication skills are critical requirement.

High confidence and client facing presence.

Strong collaboration and teamwork mindset.

Demonstrated ownership and accountability.

Operate in a high collaboration client facing environment.

Demonstrate continuous learning mindset especially in AI adoption.

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