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We are seeking a Vice President of Platform Engineering to lead the design, evolution, and operational excellence of our cloud-native infrastructure and developer platform. This role is responsible for building and scaling the foundational systems that power our applications, data platforms, and AI-driven services. You will oversee Kubernetes architecture, infrastructure-as-code strategy, CI/CD systems, observability, reliability engineering, and cloud performance optimization across a complex AWS-based environment. Our platform stack includes Kubernetes (EKS, Vcluster), Apache Spark workloads, Snowflake analytics, Airflow orchestration, and Java-based microservices. You will lead the teams that ensure this ecosystem is scalable, secure, resilient, and engineered for long-term performance. This is a hands-on executive role for someone who understands distributed systems deeply, thinks in terms of architecture and platform leverage, and can elevate engineering standards across the organization.
Job Responsibility:
Define and execute the long-term platform engineering vision across cloud, data, and application infrastructure
Own Kubernetes (EKS) architecture, cluster strategy, multi-environment governance, and workload isolation patterns (including Vcluster strategy)
Lead infrastructure modernization and simplification initiatives to reduce technical debt and increase scalability
Establish engineering standards for microservices deployment, resource management, and platform resiliency
Oversee AWS infrastructure design across compute, storage, networking, and data services
Drive Infrastructure-as-Code maturity using Terraform and GitOps principles
Ensure platform environments are secure, observable, and highly available
Lead capacity planning, performance engineering, and system reliability improvements
Own CI/CD platform strategy and deployment pipelines to improve velocity and reduce operational friction
Improve developer experience through self-service infrastructure tooling and automation
Oversee containerization standards (Docker, Helm, ArgoCD) and release management best practices
Champion automation-first operational processes to reduce manual intervention and toil
Provide architectural oversight for Spark-based distributed compute workloads
Guide optimization of Airflow orchestration and Snowflake data platform usage
Ensure data-intensive workloads are engineered for performance and scale
Standardize patterns for resource efficiency across compute-heavy systems
Establish SRE best practices including SLOs, SLAs, incident management, and performance monitoring
Oversee implementation of observability stack (Prometheus, Grafana, Loki, etc.)
Ensure security and compliance standards are embedded in platform design
Improve resilience and disaster recovery strategies
Build and lead a high-performing Platform Engineering organization
Mentor senior engineers and platform leads
Collaborate closely with Engineering, Data, and Security leadership
Create a culture of operational excellence, ownership, and continuous improvement
Requirements:
12+ years of experience in Cloud Infrastructure, Platform Engineering, or DevOps
5+ years leading platform or infrastructure teams at scale
Deep expertise in AWS architecture and cloud-native systems
Strong hands-on knowledge of Kubernetes (EKS) and distributed systems
Experience with Infrastructure-as-Code (Terraform), CI/CD pipelines, and GitOps
Familiarity with Spark, Airflow, and large-scale data processing systems
Experience supporting Java-based microservices in containerized environments
Strong understanding of observability, performance engineering, and reliability principles
Proven ability to scale infrastructure while improving operational efficiency
Excellent executive communication and cross-functional collaboration skills
Nice to have:
Experience in high-growth SaaS environments
Background in platform modernization or cloud transformation initiatives