Description

Skills

GitHub
CI/CD
FinOps
IaC

Role Overview
We are seeking a 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 have 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 using Kubernetes, microservices, and distributed architectures.

Define and govern enterprise architecture standards, technical roadmaps, design patterns, and engineering best practices.

Lead architecture reviews covering scalability, reliability, performance, security, maintainability, and compliance.

Drive DevSecOps adoption through CI/CD automation, IaC, security integration, and platform governance.

Establish observability, monitoring, incident management, root-cause analysis, and continuous service improvement.

Design resilient platform services using 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 engineering guidance.

Cloud & FinOps
Drive cloud cost optimization through cost governance, resource utilization analysis, forecasting, and reporting.

Implement right-sizing, storage optimization, and operational efficiency improvements.

Provide actionable cloud cost insights and recommendations to business and technology stakeholders.

DevSecOps & Security
Design and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Azure DevOps, and Jenkins.

Integrate SAST, DAST, SCA, and container security scanning into deployment pipelines.

Implement enterprise security standards for IAM, secrets management, compliance, and governance.

Establish secure Kubernetes and container platform standards.

Data Platform & AI
Oversee Snowflake administration, security, governance, performance optimization, and cost management.

Support enterprise data integration, warehouse optimization, access controls, and data protection.

Evaluate and govern AI-enabled solutions, POCs, 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 senior stakeholders.

Preferred Skills
Cloud Architecture Certifications (Azure, AWS, or GCP).

FinOps and Cloud Cost Management experience.

SRE practices and observability platforms.

Experience supporting large-scale enterprise modernization and transformation programs.

Strong communication, stakeholder management, and leadership skills.

Additional Skills
Splunk

Kubernetes

Experience
8–10 years

Key Skills

Education

Any Graduate