Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, natura…
Skills: Engineering Leadership, Kubernetes, AI Infrastructure, GPU Architecture, Distributed Systems
Salary range is $95k to $191k, with a midpoint of $143k. New hires typically receive between minimum and midpoint, however, we may go slightly higher based on experience, internal equity and market. Sound Transit also of…
Engineering Project Manager, Security Partner Success, Apple Services Engineering
Seattle, Washington, United States · On-site
Senior+
Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology! We enable Apple's apps and services, and we do it on an extensive scale, to hundre…
Skills: Engineering Project Management, Technical Program Management, Identity and Access Management, Open Policy Agent, Security Architecture
About the role At Schwartz Brothers Bakery, we’re passionate about quality, consistency, and the people who make it all happen. We’re looking for a hands-on Maintenance Supervisor to lead our maintenance team and help ke…
Skills: Team Leadership, Preventative Maintenance, Troubleshooting, Electrical Systems, Refrigeration Systems
Overview QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-clas…
Overview QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-clas…
Skills: Data Architecture, Data Modeling, SQL, Python, Distributed Systems
Overview QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-clas…
Skills: Salesforce Architecture, Apex, Lightning Web Components, Google Cloud Platform, Full-Stack Development
Snohomish County, Washington, United States · On-site
$65k–$81k/yr
Mid level
Sales Representative, Industrial - Maintains and develops customer and prospect relationships in order to increase revenues in assigned territory. Communicates key market conditions, opportunities and threats to manageme…
Skills: B2B Sales, Relationship Management, Pricing and Quoting, Business Development, Territory Management
Overview MG2, an affiliate of Colliers Engineering & Design is currently looking for a Architectural Project Manager - Food & Beverage to join our team in our Seattle, WA office! You will be working in our Consumer Exper…
Skills: Project Management, Contract Management, Design Documentation, Permitting, Construction Administration
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++, Java or Go. 3 years of experience building software for data privacy or security (e.g., identity and…
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. Preferred qualifications: Master's degree in a technology or business r…
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and a…
Commercial Kitchen & Refrigeration Service Technician
Mill Creek East, Washington, United States · On-site
$35/hr–$45/hr
Senior
Description We are a growing fast casual restaurant group with a footprint across multiple locations. Our brand is known for its innovative approach to dining, commitment to quality, and a culture that champions growth, …
Description Position Overview: Under the direction of the Regional Field Service Manager, the Field Service Technician is responsible for repairing cardio, strength, electronic fitness equipment and attachments. This pos…
Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distribu…
Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure as Code
Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distribu…
Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure As Code
Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distribu…
Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure as Code
Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distribu…
Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure As Code
Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distribu…
Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure as Code
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$201k–$251k/yr
Full-time
Employee Assistance Program, Local Employee Meetups, Flexible Time Off Policy, Conference Reimbursement, Training and Education Reimbursement, LinkedIn Learning Access
Posted 37d ago
~40 hrs/week
Responsibilities
Lead the Inference Orchestration team to drive the strategy and scaling of Kubernetes-based AI infrastructure. Oversee the architecture of high-throughput scheduling systems and optimize GPU utilization for AI workloads.
Requirements
Requires a proven track record of managing high-performing engineering teams in distributed systems or infrastructure. Deep expertise in Kubernetes at scale and hardware-aware optimization for NVIDIA or AMD GPUs is essential.
Full job description
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are seeking a Senior Engineering Manager to lead our Inference Orchestration team, driving the strategy, execution, and scaling of our Kubernetes-based AI infrastructure. You will be responsible for balancing business needs with technical excellence, ensuring high throughput, optimal GPU utilization, and robust fault tolerance for our next-generation disaggregated inference, fine-tuning, and training workloads.
What You'll Do:
Team Leadership & Development: Recruit, mentor, and coach engineers on the team, fostering a culture of ownership, technical excellence, and continuous improvement.
Execution & Delivery: Own the team's project execution, translating high-level business goals into clear technical roadmaps, measurable milestones, and successful, on-time delivery.
Cross-Functional Partnership: Collaborate with Product Management, other engineering teams, and key stakeholders to align priorities, manage dependencies, and communicate progress and risks.
Operational Health: Ensure the production health, stability, and on-call rotation of all services owned by the Inference Orchestration team.
Strategic Architecture & Planning: Define the technical roadmap and oversee the architecture of high-throughput scheduling systems for massive Kubernetes clusters (1,000+ nodes, 10,000+ pods), focusing on scalability techniques like multi-scheduler architectures and batch dispatching.
Maximize GPU Utilization: Eliminate GPU waste in multi-tenant environments by implementing fractional GPU allocation, leveraging mechanisms like KAI-Scheduler's Reservation Pods or hard-isolation tools like HAMi, and configuring time-based fairshare scheduling to balance over-quota pool access.
Orchestrate Complex Inference: Implement and manage disaggregated AI inference pipelines using frameworks like NVIDIA Grove, coordinating multicomponent deployments (e.g., prefill leaders, decode workers, KV routers) with multilevel autoscaling and explicit startup ordering.
Optimize Placement & Topology: Deploy topology-aware scheduling to align pod placement with physical hardware dimensions, such as NVLink connections, PCIe lanes, and NUMA nodes, minimizing communication latency for multi-GPU operations.
Platform Performance & Reliability: Drive initiatives to enhance overall cluster performance, including optimizing scheduling latency, API server load, and implementing fault tolerance mechanisms like Checkpoint/Restore for long-running AI training jobs.
Manage AI Storage & Fault Tolerance: Orchestrate efficient model weight distribution using OCI Image Volumes and implement Checkpoint/Restore capabilities (via CRIU and NVIDIA cuda-checkpoint) for long-running training fault recovery.
Security and Isolation: Define and enforce security best practices for AI workloads, ensuring multi-layered isolation environments and agent sandboxes are deployed to safely execute untrusted code (e.g., using Kata Containers, gVisor, or microVMs).
What You’ll Bring:
Engineering Leadership Experience: Proven track record of managing and growing high-performing engineering teams, preferably within a distributed systems or infrastructure domain.
Kubernetes and AI Infrastructure Domain Knowledge: Deep expertise in Kubernetes at scale and a strong foundational understanding of the core challenges in AI workload orchestration, scheduling, and resource management.
Hardware-Aware Optimization: Strategic knowledge of GPU architectures (NVIDIA and/or AMD), interconnects (like NVLink), and hardware topology and their direct impact on AI training and inference performance.
Resource and Cost Management: Experience in balancing performance against cost, applying principles like Dominant Resource Fairness (DRF), and directing strategies for maximizing cluster efficiency.
Systems Engineering & Security: Familiarity with concepts in container runtime internals, system isolation, and security contexts to manage risk in shared infrastructure.
AI/ML Serving Architectures: Strong understanding of modern LLM serving architectures, disaggregation patterns, and common serving engines (e.g., vLLM, Triton, SGLang).
Observability and SLOs: Expertise in defining, tracking, and operationalizing deep infrastructure and inference metrics (e.g., TTFT, TPOT) to drive performance improvements and meet service level objectives.
Compensation Range:
$200,800 - $251,000
*This is a hybrid role
JR: 2026-7649
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
DigitalOcean is the AI-Native Cloud purpose-built for the inference and agentic era. Its five-layer integrated platform—spanning GPU and CPU infrastructure, core cloud, inference, data, and managed agent orchestration—is open throughout with no vendor lock-in, giving builders everything they need to start fast, scale production AI workloads, and improve unit economics. More than 650,000 customers and millions of developers globally trust DigitalOcean to build, ship, and scale their applications.
Offices: 105 Edgeview Dr, Broomfield, Colorado 80021, US
Based on 5561 listings with disclosed salaries, most engineering jobs in Washington pay between $100k–$239k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Washington right now?
There are currently 7,978 open engineering positions in Washington listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Washington?
Companies currently hiring include Amazon, Microsoft, Blue Origin, Boeing, SpaceX, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Washington?
Yes — 1992 of the 7978 open engineering positions offer remote or hybrid work (376 remote, 1616 hybrid).
How do I apply for Engineering jobs in Washington?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.