| Job Description: |
We are seeking highly experienced Cloud, Platform Engineering, and DevSecOps professional to lead the design, implementation, and governance of enterprise-scale cloud-native platforms. The ideal candidate will possess strong expertise in cloud architecture, Kubernetes, DevSecOps, data platforms, and engineering leadership, with a proven ability to drive modernization, reliability, security, and operational excellence.
Key Responsibilities
• Design and deliver scalable, secure, and resilient cloud-native solutions leveraging Kubernetes, microservices, and modern distributed architectures.
• Define and govern enterprise architecture standards, technical roadmaps, design patterns, and engineering best practices.
• Lead solution architecture reviews ensuring scalability, reliability, performance, security, maintainability, and compliance requirements are met.
• Drive DevSecOps adoption through CI/CD automation, Infrastructure as Code (IaC), security integration, and platform governance.
• Establish observability, monitoring, incident management, root-cause analysis, and continuous service improvement practices.
• Design resilient platform services utilizing service discovery, fault tolerance, disaster recovery, and high-availability strategies.
• Collaborate with business, product, security, and engineering teams to translate business objectives into technical solutions.
• Provide technical leadership, mentorship, solution reviews, and guidance to engineering teams.
Cloud & FinOps Responsibilities
• Drive cloud cost optimization initiatives through cost governance, resource utilization analysis, forecasting, and reporting.
• Partner with engineering teams to implement right-sizing, storage optimization, and operational efficiency improvements.
• Provide actionable cloud cost insights and recommendations to business and technology stakeholders.
DevSecOps & Security Responsibilities
• Design and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Azure DevOps, and Jenkins.
• Integrate security controls including SAST, DAST, Software Composition Analysis (SCA), and container security scanning into deployment pipelines.
• Implement enterprise security standards covering identity and access management, secrets management, compliance, and governance.
• Establish secure Kubernetes and container platform standards.
Data Platform & AI Responsibilities
• Oversee Snowflake platform administration, security, governance, performance optimization, and cost management.
• Support enterprise data integration, warehouse optimization, access controls, and data protection requirements.
• Evaluate and govern AI-enabled solutions, proof-of-concepts, and associated cloud consumption models.
• Collaborate with data engineering and security teams to deliver scalable, compliant, and reliable data solutions.
Required Qualifications
• Experience in Software Engineering, Cloud Architecture, Platform Engineering, or DevSecOps.
• Strong expertise in Kubernetes, containerization, microservices, and distributed systems.
• Hands-on experience with public cloud platforms such as GCP.
• Extensive experience implementing CI/CD and DevSecOps practices.
• Proficiency in Java and modern software engineering methodologies including Agile, TDD, and automated testing.
• Experience with Kafka, Snowflake, BigQuery, PostgreSQL, MySQL, and Cassandra.
• Strong understanding of cloud governance, security, compliance, reliability engineering, and operational excellence.
• Proven ability to lead architecture initiatives, mentor teams, and engage with senior stakeholders.
Preferred Skills
• Cloud Architecture Certifications (Azure, AWS, or GCP).
• FinOps and Cloud Cost Management experience.
• Site Reliability Engineering (SRE) practices and observability platforms.
• Experience supporting large-scale enterprise modernization and transformation programs.
• Strong communication, stakeholder management, and leadership skills.
Skills: Digital : Splunk ~ Digital : Kubernetes
Experience Required: 8-10
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