DWX - Site Reliability & Automation Engineer

Job summary

Group 1001 is seeking a DWX Site Reliability & Automation Engineer to focus on automation, efficiency, and AI enablement. This role involves identifying high-leverage opportunities for automation, building end-to-end automated workflows, and safely deploying AI tools across the DWX team. The engineer will also drive reliability as a discipline by implementing SRE practices and partnering with various teams to enhance effectiveness.

Benefits

Qualifications

• 7+ years in SRE, platform engineering, or DevOps roles.
• Experience in regulated environments (L&A, insurance, or financial services preferred).
• Proven ability to build and run automation at scale.
• Expert command of Infrastructure-as-code (Terraform, Bicep, ARM or equivalent).
• Expert command of CI/CD pipelines (Azure DevOps, GitHub Actions) with experience in testing, gating, and progressive delivery.
• Proficiency in scripting and development (PowerShell, Python, and at least one general-purpose language for production code).
• Strong understanding of Git, branching strategies, code review discipline, and repository hygiene.
• Deep knowledge of cloud platforms (Azure deeply; AWS or GCP a plus).
• Expertise in observability tools (Azure Monitor, Log Analytics, KQL, Application Insights or comparable).
• Experience with API and integration work (Graph API, REST, webhooks, event-driven patterns).
• Hands-on experience deploying LLM-powered workflows in enterprise environments.
• Understanding of agentic systems, MCP, retrieval-augmented patterns, and AI safety practices.
• Experience with AI governance (prompt safety, data classification, output validation, audit trails).
• Demonstrated ability to drive digital transformation from ticket-driven to product-driven operations, and reactive to proactive.
• Ability to build business cases for technical solutions.
• Preferred: Experience implementing SRE practice from scratch.
• Preferred: Background in platform engineering (building internal developer platforms, golden paths, paved roads).
• Preferred: AI/ML engineering experience beyond prompt-level work (fine-tuning, evaluation, RAG architectures, agent frameworks).
• Preferred: Certifications such as Azure Solutions Architect Expert, Azure DevOps Engineer Expert, HashiCorp Terraform Associate, or equivalent.
• Preferred: Experience with ServiceNow scripting and flow designer.

Responsibilities

• Identify high-leverage automation opportunities by observing work, mining ticket data, and finding patterns.
• Quantify toil, define error budgets, and establish SLOs.
• Engineer end-to-end automated workflows using IaC (Terraform, Bicep), CI/CD (Azure DevOps, GitHub Actions), configuration-as-code, and orchestration platforms (Logic Apps, Power Automate, ServiceNow flows, custom services).
• Ensure code is production-grade, version-controlled, peer-reviewed, observable, and resilient.
• Deploy AI tools (Copilot, Claude, internal LLM platforms, agentic systems) securely and compliantly.
• Define patterns for AI-assisted troubleshooting, AI-augmented runbooks, prompt libraries, agent workflows, and guardrails for Cybersecurity, Legal, and Compliance.
• Implement SRE practices including meaningful SLIs and SLOs, proactive observability, and post-incident learning.
• Apply chaos and resilience thinking to the digital workplace.
• Partner with the Senior Support Manager on problem management to convert recurring incidents into automation backlog.
• Collaborate with Solutions Engineers, Operations Engineers, Microsoft Engineer, Cybersecurity, Networks, Architecture, Product Management, and Business Technology to amplify their effectiveness.

Skills

Certifications

Industry

Relocation