Project Engineer

Accountabilities:

• • Execute complex IT project implementations with limited oversight, taking ownership of technical delivery and ensuring agreed outcomes are achieved.
  • Lead technical discovery, requirements analysis, solution design, system integration, infrastructure deployment, testing, and go-live activities.
  • Develop project plans, schedules, resource requirements, implementation documentation, and task tracking to maintain delivery momentum.
  • Coordinate planning, testing, deployment, documentation, and formal project closeout activities across internal teams, clients, vendors, and technology partners.
  • Serve as a technical escalation point for project challenges, working with engineering and functional teams to identify solutions and resolve delivery issues.
  • Gather technical and business requirements from clients and stakeholders and maintain clear alignment around scope, deliverables, timelines, and expectations.
  • Facilitate project meetings, status updates, stakeholder reviews, and other project-related communications.
  • Validate implementations against technical requirements, organizational standards, QA processes, and agreed project specifications.
  • Contribute to the development of QA checklists, technical standards, documentation, and repeatable best practices that improve consistency across projects.
  • Operate with an AI-native delivery mindset, incorporating AI and automation into requirements analysis, documentation, technical validation, risk identification, and optimization.
  • Develop and maintain automation scripts, frameworks, orchestration workflows, and reusable playbooks that reduce manual effort and improve delivery consistency.
  • Support integrations between systems, APIs, and automation platforms to enable scalable and repeatable deployments.
  • Identify project risks, technical gaps, and optimization opportunities using AI-assisted analysis and other technical tools.
  • Stay current with emerging AI and automation capabilities while applying them responsibly within appropriate security, privacy, and governance standards.

  Requirements:

  • 3–6+ years of experience in project engineering, technical project delivery, infrastructure engineering, or a comparable technical role.
  • Demonstrated experience delivering infrastructure, cloud, IT transformation, or enterprise technology projects.
  • Strong knowledge of Microsoft enterprise technologies, including Microsoft 365, Exchange Online, SharePoint Online, Teams, Intune, endpoint management, Active Directory, Entra ID, Group Policy, DNS, Windows Server, and Azure architecture.
  • Experience with virtualization technologies such as VMware, Hyper-V, Citrix, and Azure Virtual Desktop.
  • Knowledge of backup, disaster recovery, and business continuity solutions.
  • Experience working in MSP, consultancy, or client-facing technical environments is preferred.
  • Familiarity with project delivery methodologies such as Agile, Waterfall, PRINCE2, or similar frameworks.
  • Strong understanding of systems integration, APIs, automation platforms, and enterprise infrastructure environments.
  • Ability to use AI-assisted tools and automation pragmatically to improve technical delivery, documentation, analysis, and operational efficiency.
  • Strong communication, coordination, problem-solving, and technical documentation skills.
  • Ability to manage multiple priorities, collaborate across technical and non-technical teams, and maintain ownership through project completion.
  • Relevant certifications are advantageous, including Azure Administrator Associate (AZ-104), Azure Solutions Architect Expert (AZ-305), Microsoft 365 Enterprise Administrator Expert (MS-102), Identity and Access Administrator (SC-300), Azure Security Engineer Associate (AZ-500), VMware certifications, PMI, PRINCE2, or equivalent credentials.

  Benefits:

  • Fully remote position based in India.
  • Opportunity to work on complex mid- to large-scale IT infrastructure, cloud, and transformation projects.
  • Exposure to a broad range of Microsoft, Azure, virtualization, identity, and enterprise technologies.
  • Opportunity to integrate AI and automation into real-world technical project delivery.
  • Client-facing environment offering significant technical ownership and cross-functional collaboration.
  • Opportunities to develop reusable automation frameworks, playbooks, and delivery standards.
  • Exposure to modern cloud, infrastructure, systems integration, and enterprise technology environments.
  • Professional development opportunities through hands-on experience and relevant technical certifications.
  • Collaborative environment focused on continuous improvement, quality, and scalable delivery practices.