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Senior Cloud Platform Engineer

USA💼 Full-time💰 $61,000–$61,000🗓 2026-09-17 → 2026-09-26

Core

Design and develop secure, scalable cloud infrastructure and platform tools while leading technical direction for the cloud engineering team.

Role type

Senior Lead Software Engineer (Cloud Platform)

Builds

Enterprise cloud platforms, CI/CD pipelines, and AI-assisted development ecosystems

Domain

Financial Services / Cloud Infrastructure & Platform Engineering

Deliverable

production ML models | infrastructure

Required skills

Cloud provider expertise (AWS/Azure/GCP), Container orchestration (Kubernetes/Docker/ECS), DevEx & CI/CD tooling, Cloud security & DevSecOps, Programming (Golang/Python), Infrastructure as Code (Terraform/KRO/Crossplane), Observability (Splunk/Grafana/Datadog/Prometheus), AI-assisted coding workflows, LLM-powered development tools, Prompt engineering

Preferred skills

Multi-cloud architecture design, End-to-end platform leadership, Scalable AI/ML or data platform design, Automation & workflow orchestration, Open-source contributions, AI agents & MCP server development, Enterprise AI coding ecosystem integration

Technologies

AWS, Azure, GCP, Docker, Kubernetes, ECS, Jenkins, Spinnaker, Bitbucket, GitHub, Terraform, KRO, Crossplane, Splunk, Grafana, Datadog, Prometheus, Golang, Python, Google ADK, Anthropic SDKs

Responsibilities

Provide technical leadership and direction to the cloud engineering team, Lead design and development of secure, scalable cloud infrastructure, Drive adoption of modern DevEx practices and evolve CI/CD tooling, Align platform strategy with business priorities, Assess and govern strategic tooling to reduce cognitive load, Work with development teams to remove platform bottlenecks, Define and promote paved paths and self-service workflows, Implement real-time telemetry pipelines for observability, Champion tools to improve developer productivity, Standardize AI-assisted coding tools and AI-powered development ecosystems, Contribute to design and development of AI agents and Model Context Protocol (MCP) integrations

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