Senior Technology Engineer; Operations​/AI & Observability

Title: Senior Technology Engineer (Operations / AI & Observability)
Location: (Hybrid 3/2) Deerfield Beach, FL
Must Work Hybrid: Must work hybrid schedule in Deerfield Beach, FL
Duration: 12+ months contract
Compensation: 80 to 90hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

• This engineer is someone who is an AI developer familiar with observability platforms.
• Someone who can architect, build and support cloud-native applications in Azure and AWS environments using a developer mindset. They should be able to leverage Generative AI tools like Git Hub Copilot and Claude to accelerate script development, automate resiliency workflows, and maintain high-quality technical documentation.
• The role focuses on optimizing observability platforms like Datadog, Dynatrace, and Solar Winds to enhance signal quality, reduce alert fatigue, and ensure actionable event routing.
• Working both independently and with peers, they will take full ownership of things like CI/CD automation of repetitive tasks.
• Success in this role requires a calm, analytical temperament to drive results. This role partners closely with other teams across operations, monitoring, and security teams to strengthen platform health, improve signal quality, and enable effective incident response workflows.
• This engineer will support a hybrid environment with strong emphasis on Microsoft Azure, contribute to platform lifecycle activities. Any exposure to SIEM tools will be a plus.

• Development capabilities (must have)
• Support hybrid environments spanning on-prem and Azure infrastructure.
• A developer mindset with experience in Dev workflow, Power Shell, etc.
• Cloud-native application development experience in architecting, building, and deploying applications within AWS or Azure, leveraging cloud-native services.
• Demonstrated 'developer mindset' with the ability to take full ownership of the application lifecycle—from initial code design and CI/CD pipeline automation to proactive production support and iterative feature enhancement.
• Automation/ AI development experience (must have)
• Proficiency in leveraging Generative AI tools such as Git Hub Copilot, ChatGPT, and Anthropic Claude.
• Demonstrated ability to integrate AI-driven coding assistants.
• Familiarity with utilizing AI platforms for the rapid prototyping of automation tools and maintaining comprehensive technical documentation.
• Explore and apply AI-assisted features within monitoring, event management, and SIEM tools to:
  • Improve signal quality / reduce alert fatigue
  • Support faster incident triage
• Contribute to documentation, runbooks, and operational improvements focused on small, incremental wins.
• Public cloud platforms (must have)
• Has experience with Azure and AWS cloud platforms.
• Have either directly supported or is familiar with Azure-based monitoring and logging, including:
  • Azure Monitor and Log Analytics integrations
  • Observability for Azure-hosted workloads
• Observability & Event Management (should have)
• Has experience with tools such as Datadog and Dynatrace. The person will be responsible for collaborating with platform owners to support integrations, data quality, and alerting hygiene.
• Assist with event management workflows, ensuring alerts are actionable and routed correctly.
• Participate in efforts to reduce alert noise and repeat incidents.
• SIEM & Security platforms (nice to have)
• Has a working understanding of SIEM concepts and platforms such as Azure Sentinel and CRIBL.
• Support log ingestion, troubleshooting, and collaboration with security and incident-response teams.
• Ensure infrastructure and network telemetry supports security detection.
• Participate in knowledge transfer activities related to platform transitions and retirements.
• Maintain documentation.
• Support on-call or escalation rotations as needed.

• 5+ years of experience in software development or systems engineering, with a 'developer-first' approach to building, instrumenting, and supporting scalable applications in public cloud environments.
• Proficiency in integrating Generative AI tools (such as Git Hub Copilot, ChatGPT, or Claude) into the development lifecycle.
• Experience working in a…