Seeking an experienced Kubernetes Platform Engineer / Architect to design, build, automate, and support enterprise-grade container platforms that power business-critical applications across global environments.
Compensation
$60/hour on W2
Responsibilities
Design and implement enterprise Kubernetes platforms across cloud and hybrid environments
Define platform standards, governance controls, and architectural best practices
Build scalable, resilient, and highly available Kubernetes clusters
Develop container platform roadmaps aligned with cloud strategy
Establish multi-cluster and multi-region Kubernetes architectures
Requirements
Nice to have: Semiconductor manufacturing
Nice to have: High-tech enterprise environments
Nice to have: AI/ML platform deployments on Kubernetes
Building the runtime infrastructure that powers Moveworks' AI agents—the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real time, sitting where large language models meet distributed systems.
Compensation
For positions in this location, we offer a base pay of $161,300 - $274,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Responsibilities
Agent orchestration engine — A state machine that manages long-running agent sessions, coordinating planning, execution, and user interaction across multiple LLM calls and tool invocations
Model routing and adaptation — Choose, route between, and fine-tune or distill LLMs for specific agent tasks.
Distributed session management — Lease-based ownership using conditional writes, heartbeat protocols, and crash recovery via checkpointing
Event-driven message pipeline — FIFO queues for ordered delivery, consumers for event processing, and real-time streaming via gRPC and Socket.IO
Structured concurrency — Running multiple concurrent tasks per session with fail-fast semantics and graceful cancellation
As the Staff DevOps Engineer, you will be responsible for leading our DevOps and platform engineering initiatives, fostering a culture of automation, continuous integration, observability, reliability, and delivery. Your efforts will support consumer data-driven advertising and marketing products, standardized consumer identity solutions, machine learning platforms, and emerging AI-powered applications across NBCUniversal and its brands.
Develop and lead the implementation of DevOps, Platform Engineering, and Site Reliability Engineering (SRE) practices to improve the efficiency, scalability, reliability, and security of cloud-based applications and services.
Design, build, and maintain robust CI/CD pipelines that automate software delivery, infrastructure deployment, platform provisioning, and operational workflows.
Architect, deploy, and manage scalable AWS cloud infrastructure supporting applications, data, machine learning, and AI workloads.
Implement and manage containerization and orchestration platforms (Docker, Kubernetes, EKS) to ensure consistent, secure, and resilient environments across development, testing, and production.
Establish and maintain Infrastructure as Code (Terraform, CloudFormation) and Git Ops practices to improve platform consistency, governance, and operational efficiency.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field
Lead design, architecture, and optimization of inference platform services, ensuring reliability and performance at scale.
Locations (2)
Sunnyvale, California, United States
Bellevue, Washington, United States
Compensation
The base salary range for this role is $182,000 to $242,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Responsibilities
Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones.
Define and own SLIs/SLOs; ensure post-incident actions land and reliability improves release-over-release.
Design and build features for aging parents, ship end-to-end across the stack, and define AI-native engineering practices.
Locations (2)
United States
Canada
Compensation
For candidates based in the US, the salary range for this position is $103,500 to $192,000 USD. For candidates based out of Canada, the salary range for this position is 149,500 to 177,500 CAD.
Responsibilities
Ship end-to-end across the stack — from backend services and APIs through to the iOS and Android surfaces members use
Work with AI (Claude Code) as a first-class collaborator — orchestrate agents to create specs, generate code, and perform reviews
Define and codify AI-Native engineering practices for the Verticals team, establishing playbooks the broader org can adopt
Collaborate closely with product managers and designers to turn complex user problems into scalable engineering solutions
Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement
Design, scale, and maintain the infrastructure powering impact.com’s core Data Platform in a high-throughput Google Cloud Platform environment.
Compensation
Salary Range: $130,000 - $150,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.
Build, secure, automate, and operate cloud or enterprise infrastructure and platforms focusing on availability, scalability, security, observability, automation, and dependable service operations.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Design, provision, configure, and operate cloud or infrastructure components using approved architecture patterns.
Automate repeatable provisioning, deployment, configuration, and operational tasks.
Implement security, identity, networking, backup, monitoring, and availability controls.
Investigate incidents, capacity issues, vulnerabilities, and performance problems.
Maintain runbooks, diagrams, standards, and change records; collaborate across engineering and operations.
Senior Software Engineer - CoreAI on the Durable Task Scheduler team, working at the intersection of durable execution and real-world customer outcomes.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Partner directly with customers and stakeholders to understand business challenges, define success criteria, and translate needs into durable workflow and orchestration solutions built on Durable Task Scheduler.
Design, build, test, deploy, and operate secure, reliable, and scalable production-grade software systems and services using DTS, Azure Durable Functions, and the Durable Task SDKs, applying AI and data capabilities where appropriate.
Rapidly move from concept to prototype to production, iterating alongside customers to deliver measurable business outcomes.
Build durable, stateful, and observable AI agents and agentic workflows, including with the Microsoft Agent Framework, that connect customer systems, data, and AI capabilities into reliable end-to-end solutions.
Help customers adopt durable execution patterns (fan-out/fan-in, durable timers, durable entities, human-in-the-loop, retries, and compensation) and migrate existing workflow or job-scheduling workloads onto DTS.
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