Lead Cloud Platform Engineer DevOps & SRE

Role: Lead Cloud Platform Engineer / DevOps & SRE

Location: San Leandro CA (Onsite)

Type: Contract

Job Summary

• We are seeking a highly experienced Lead Cloud Platform Engineer with deep expertise across AWS Google Cloud Platform (GCP) and Azure to design build and operate scalable secure and highly available cloud platforms. This role will lead cloud modernization initiatives drive DevOps and SRE best practices and partner closely with engineering security and architecture teams to enable high-performing resilient systems.
• The ideal candidate brings hands-on technical leadership in cloud infrastructure CI/CD automation container platforms (Kubernetes/OpenShift) and enterprise data platforms along with strong experience migrating legacy systems to cloud-native architectures.

Key Responsibilities

Cloud Platform & Architecture

• Design and implement multi-cloud architectures across AWS GCP and Azure with a focus on scalability availability security and cost optimization
• Lead application and platform migrations from legacy and PaaS platforms (e.g. PCF) to Kubernetes/OpenShift
• Architect and provision cloud infrastructure for high-volume high-velocity OLTP and data-intensive workloads
• Define and enforce cloud governance IAM RBAC network security and compliance standards

DevOps CI/CD & Automation

• Build optimize and maintain CI/CD pipelines using Jenkins GitHub Actions GitLab CI and related tools
• Automate build test security scanning and deployment workflows for containerized and non-containerized workloads
• Implement Infrastructure as Code (IaC) using Terraform and related tooling
• Enable blue-green and zero-downtime deployment strategies across environments

Kubernetes & Container Platforms

• Act as SME for Kubernetes and OpenShift platforms
• Configure namespaces/projects quotas RBAC ingress controllers routing and multi-tenancy
• Integrate secrets management (e.g. HashiCorp Vault) and container image scanning into CI/CD pipelines
• Partner with development teams to onboard applications and promote container best practices

Site Reliability Engineering (SRE) & Observability

• Implement monitoring and alerting solutions using Prometheus Grafana Splunk and related tools
• Define and track SLIs/SLOs (uptime latency throughput error rates)
• Proactively identify performance scalability and reliability issues and drive remediation
• Support production releases and post-deployment monitoring

Data & Enterprise Architecture

• Lead data architecture and platform engineering initiatives including ETL pipelines and analytics platforms
• Establish best practices for data governance data quality metadata management security privacy and DLP
• Support enterprise integration patterns master data management and regulatory compliance initiatives

Leadership & Collaboration

• Provide technical leadership and mentorship to DevOps SRE and platform engineering teams
• Collaborate cross-functionally with application engineering security networking QA and enterprise architecture
• Contribute to product roadmaps platform strategy and long-term cloud modernization plans

Required Qualifications

• 10 years of experience in cloud DevOps platform or infrastructure engineering
• Strong hands-on expertise with AWS GCP and Azure
• Advanced experience with Kubernetes and OpenShift in enterprise environments
• Proven experience building and operating CI/CD pipelines at scale
• Strong proficiency in Linux/Unix systems networking (TCP/IP DNS) and distributed systems
• Experience with Terraform and Infrastructure as Code
• Solid scripting and automation skills using Python and Shell
• Deep understanding of security IAM compliance and governance in cloud environments

Preferred Qualifications

• Experience leading large-scale enterprise cloud migrations
• Strong background in data platforms (BigQuery Databricks Spark Airflow dbt)
• Experience with monitoring observability and SRE practices
• Prior experience in financial services fintech retail or regulated industries
• Agile/Scrum experience and strong stakeholder communication skills

Tools & Technologies

• Cloud: AWS GCP Azure
• Containers & Platforms: Kubernetes OpenShift
• CI/CD & DevOps: Jenkins GitHub Actions Git Terraform Harness
• Monitoring & Logging: Prometheus Grafana Splunk
• Data & Analytics: Databricks Spark BigQuery Airflow dbt
• Programming/Scripting: Python Shell
• Visualization & BI: Tableau Power BI