[Hiring] Platform Engineering Lead @Talent Shore

Role Description

We are hiring a hands-on Platform Automation Engineering Lead to build a code-first, AI-enabled platform capability across Microsoft 365 and Azure, while establishing a reliable operating model for core network and connectivity services. This is a player-coach leadership role: you are accountable for platform outcomes and expected to execute directly on the highest-risk, highest-value technical work. This role is more than M365/Azure administration. It owns how we build and run platform automation as an engineering discipline: issues-to-code, policy-as-code, drift detection, agent-assisted delivery, MCP tool surfaces, and safe release patterns.

What You Will Own

• Platform automation engineering strategy and delivery across M365, Intune, Azure, and core network services.
• Operational reliability and security posture for identity, endpoint, cloud, and connectivity layers.
• Configuration-as-code standards, CI/CD controls, and change governance for managed platforms.
• Agent-enabled platform delivery model (issue quality, PR quality, review discipline, and release safety).
• MCP/tooling layer that exposes governed platform capabilities to agents and automation flows.
• Service health, incident response, problem management, and continuous hardening cadence.
• Team outcomes for three platform engineers (M365/Intune, Azure, Network).
• Monthly executive reporting to CIO on platform health, risk, performance, and priorities.

Key Responsibilities

• Lead the day-to-day platform engineering function spanning M365, Intune, Azure, and network operations.
• Define and execute a 12-month platform roadmap balancing reliability, security, modernization, and cost control.
• Own M365 and Intune engineering standards across identity, endpoint compliance, access policy, and governance.
• Own Azure engineering standards across landing zones, monitoring, security controls, backup/recovery, and platform services.
• Operate a code-first platform model where significant changes are designed, reviewed, tested, and released through versioned pipelines.
• Use AI-enabled engineering tooling to accelerate delivery while maintaining strict review and quality gates.
• Build or adopt MCP-compatible platform tool surfaces so agents can perform governed platform actions safely.
• Partner with network engineering to ensure resilient connectivity, secure access, and operational readiness.
• Drive incident and problem management discipline, including root-cause analysis and permanent fixes.
• Ensure all significant platform changes follow version control, peer review, and controlled release practices.
• Establish clear ownership boundaries and quarterly delivery goals for each direct report.
• Mentor and develop team capability while maintaining hands-on technical contribution.

First 90 Days Deliverables

• Platform health baseline across M365, Azure, Intune, and network: risks, gaps, ownership, and mitigation plan.
• Stabilization plan and execution for top-priority reliability and security issues.
• Operating cadence established for incidents, major changes, and service reviews.
• Team charter in place for M365/Intune, Azure, and Network engineers with clear outcomes and accountabilities.
• Code-first operating baseline in place: issue templates, PR quality standards, release and rollback controls.
• Initial AI-enabled delivery loop established with measurable quality gates for agent-assisted changes.
• Executive dashboard live with key platform KPIs, risks, and 30/60/90-day priorities.

Success Measures (First 12 Months)

• Platform reliability and security posture measurably improved across M365, Azure, Intune, and network layers.
• Change success rate improved with fewer high-impact incidents linked to platform changes.
• Critical risks reduced through a managed hardening and remediation backlog.
• Strong service ownership behavior established across the three-engineer team.
• Faster incident resolution and improved post-incident fix completion.
• Clear roadmap delivery against agreed quarterly outcomes.
• High-quality code-first delivery: materially improved first-pass PR/CI success and reduced rework.
• Practical AI-enabled engineering adoption that increases throughput without reducing control quality.

Requirements

• 8-12+ years in platform engineering, cloud engineering, or infrastructure engineering roles.
• Demonstrated leadership of mixed platform teams and cross-domain operations.
• Strong hands-on expertise in Microsoft 365 and Azure platform engineering.
• Practical experience with Intune, identity and access controls, and endpoint governance.
• Strong scripting and automation engineering capability (PowerShell and/or Python) with production delivery history.
• Experience with API-driven platform operations, YAML/pipeline patterns, and configuration-as-code.
• Proven history of shipping real AI-assisted engineering work in production environments.
• Strong operational background in incident/problem/change management for production environments.
• Ability to lead outcomes across teams without direct line authority.
• Strong communication skills for technical, business, and executive audiences.

Preferred Qualifications

• Experience in SaaS, enterprise software, or multi-country operational environments.
• Familiarity with infrastructure-as-code/configuration-as-code pipelines and policy-driven governance.
• Experience with MCP, agent tooling, or secure platform tool exposure patterns.
• Experience with Azure AI Foundry, Logic Apps, APIM, or related automation integration services.
• Exposure to modern network security patterns and cloud connectivity architecture.
• Relevant certifications across Azure, M365, security, or network engineering.

Benefits

• Remote working with one of the global leaders in e-learning.
• Opportunity to fully own the platform automation function & team as the business embarks on an exciting journey after being recently acquired.
• Work autonomously, supporting a CIO that you can learn from while adding great value.