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Design and automate cloud/hybrid infrastructure and CI/CD pipelines for New York City’s civic tech systems, using Terraform, Azure DevOps, Docker, and Kubernetes to ensure scalable, secure deployments that serve millions daily.
Build and improve AI-powered tools for Experian’s identity and fraud products, using cloud, DevOps, and automation to enhance engineering productivity and client implementations.
Design and automate multi-cloud infrastructure across AWS, GCP, and Azure, using IaC and Kubernetes to build resilient, cost-optimized systems and CI/CD pipelines.
Own and automate PostHog’s multi-region AWS/Kubernetes platform, reducing operational load and scaling stateful systems while keeping services reliable and cost-efficient.
Maintains and scales Kubernetes clusters on AWS for a mobile ticketing platform, ensuring high availability and security.
Lead software engineer designing, building, and maintaining secure, scalable cloud infrastructure (Kubernetes, AWS, Terraform) for JPMorgan Chase’s core financial systems, with a focus on automation, observability, and AI-assisted engineering practices.
Lead a team building and scaling secure, resilient cloud infrastructure for JPMorganChase using Kubernetes, AWS, Terraform, and CI/CD pipelines while driving adoption of AI-assisted engineering practices.
Lead a team building and scaling secure, resilient cloud infrastructure for J.P. Morgan using Kubernetes, AWS, Terraform, and CI/CD pipelines while driving adoption of AI-assisted engineering practices.
Designs and deploys enterprise Kubernetes platforms across hybrid and multi-cloud environments for large clients.
Senior SRE responsible for global infrastructure reliability, designing automated recovery and observability systems using Prometheus, Grafana, and Kubernetes to ensure carrier-grade uptime for telecom services.
Principal Cloud Security Architect designs secure-by-design cloud architectures for AWS/GCP, embedding DevSecOps and zero-trust controls to protect high-traffic sports betting and iGaming platforms against fraud and compliance risks.
A senior DevOps Engineer automates and optimizes cloud infrastructure (AWS) and CI/CD pipelines using Kubernetes, Terraform, Docker, and Jenkins, ensuring scalable, secure deployments for government projects requiring Top Secret/SCI clearance.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Leads cloud infrastructure, DevOps, and security for a government-backed platform, designing AWS/Kubernetes environments with IaC, CI/CD, and observability while enforcing compliance and automation.
Build cloud-delivered security services using Go, API Gateway (KONG), OAuth2, and RESTful APIs. Work on distributed systems, enterprise integrations, and AI-powered security platforms.
Lead a hybrid team supporting cloud data warehouse operations, handling incident management, ETL pipelines, and stakeholder reporting using Python, PySpark, SQL, and AWS services.
Lead the MLOps platform for autonomous-driving teams, building scalable AWS/Kubernetes pipelines with Ray, Airflow, and MLflow to train and deploy perception models in safety-critical automotive systems.
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, and MLflow to ensure reproducible, traceable, and auditable pipelines.
Design and implement scalable MLOps/LLMOps pipelines on AWS, including SageMaker, EKS, and CI/CD, to deploy and monitor production-grade AI models for enterprise clients.
Builds and deploys production-grade agentic AI systems (LLMs, RAG, orchestration) for American Express’s global commercial services, integrating with cloud-native stacks (Go/TypeScript/Python, AWS/GCP, Kafka, Kubernetes) to enhance customer-facing financial solutions.
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