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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Microsoft Azure services and cloud-native architectures, with a strong focus on AI-driven automation and technical leadership. Proven ability to design secure, scalable solutions while fostering innovation and guiding multidisciplinary teams.
Highest-signal resume keywords
Microsoft Azure ServicesCloud-Native ArchitectureAI-Enabled AutomationTechnical LeadershipCI/CD Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringCloud ArchitecturePlatform EngineeringDevOpsNext.jsReactMicroservicesAPIsDockerKubernetes
Soft Skills
Client-Facing ConsultingExecutive CommunicationMentoringInnovationContinuous Improvement
Tools & Technologies
Azure DevOpsGitHubInfrastructure as CodeObservabilityMonitoring
Certifications & Qualifications
Azure Solutions Architect ExpertAzure DevOps Engineer Expert
Industry Keywords
Digital TransformationSystems IntegrationEnterprise ApplicationsCloud SecurityGovernance
Tech Stack
Tools & technologiesAzureCloudDistributed SystemsDockerJavaScriptKubernetesMicroservicesNext.jsReactTypeScript
About the role
Key responsibilities & impact- Define and drive technical vision, architecture strategies, and best practices for cloud and DevOps engagements
- Lead the design and delivery of large-scale cloud-native solutions on Microsoft Azure
- Establish engineering standards, governance frameworks, security controls, and operational excellence practices
- Advise client executives, technology leaders, and product organizations
- Lead the design and implementation of Agentic AI solutions using AI orchestration frameworks, LLMs, copilots, autonomous workflows, and intelligent agents
- Help clients identify opportunities to automate complex business processes through AI-driven systems
- Evaluate emerging AI technologies and define adoption strategies aligned with business objectives
- Architect secure, scalable, and responsible AI solutions within enterprise environments
- Drive cloud adoption, modernization, migration, and platform engineering initiatives
- Establish CI/CD pipelines, Infrastructure as Code, observability, reliability engineering, and cloud governance practices
- Guide platform teams in scalable DevOps operating models and automation strategies
- Ensure solutions meet security, compliance, performance, and reliability requirements
- Lead multidisciplinary engineering teams across multiple engagements
- Support pre-sales, solutioning, technical discovery workshops, and proposal development
- Provide executive-level communication and technical leadership throughout project delivery
- Manage technical risk, architecture decisions, and delivery quality
- Mentor architects, engineers, and technical managers
- Foster innovation, continuous improvement, and technical excellence
- Contribute to capability development within the Cloud & DevOps practice
Requirements
What you’ll need- 10+ years of experience in software engineering, cloud architecture, platform engineering, or DevOps
- 5+ years in technical leadership, architecture leadership, or consulting leadership roles
- Deep expertise in Microsoft Azure services, architecture patterns, governance, security, and operations
- Strong experience designing and delivering enterprise applications using Next.js, React, and modern web architectures
- Proven experience implementing or architecting Agentic AI, AI-enabled automation, autonomous workflows, copilots, or advanced AI solution frameworks
- Experience with cloud-native architectures, microservices, APIs, containers, and distributed systems
- Strong client-facing consulting experience with executive stakeholder management
- Experience with Microsoft Azure services, including App Services, AKS, Functions, AI Services, Networking, Security, Identity, Data Services, and Platform Engineering capabilities
- Experience with GitHub, Azure DevOps, CI/CD, Infrastructure as Code, and automation
- Experience with Docker and Kubernetes
- Experience with modern JavaScript/TypeScript ecosystems
- Experience with observability, monitoring, reliability engineering, and cloud security best practices
- Experience integrating AI and machine learning solutions within enterprise applications
- Azure Solutions Architect Expert, Azure DevOps Engineer Expert, or other relevant Microsoft certifications are nice to have
- Experience with Azure OpenAI Service and enterprise AI platform implementations is nice to have
- Experience with platform engineering and internal developer platforms is nice to have
- Background in consulting, digital transformation, or systems integration environments is nice to have
- Experience leading distributed and global delivery teams is nice to have
Benefits
Comp & perks- Growth opportunities
- Values-driven culture
- International careers
- Continuous learning
- Professional growth
- Inclusive and accessible workplace
- Reasonable accommodations during the interview process