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Senior Engineering Manager Jobs in Renton, WA (NOW HIRING)

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Senior Manager, Software Engineering

Seattle, WA · On-site

$178.90 - $262.83/hr

  • Medical

  • Life

  • Retirement

  • PTO

Docusign is looking for a Senior Engineering Manager to lead our NoSQL & Blob STaaS platform team. This role owns the strategy, delivery, and operations of our core NoSQL and blob storage services ...

New

DocuSign

Senior Manager, Software Engineering

Seattle, WA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Docusign is looking for a Senior Engineering Manager to lead our NoSQL & Blob STaaS platform team. This role owns the strategy, delivery, and operations of our core NoSQL and blob storage services ...

Docusign

Senior Manager, Software Engineering

Seattle, WA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Docusign is looking for a Senior Engineering Manager to lead our NoSQL & Blob STaaS platform team. This role owns the strategy, delivery, and operations of our core NoSQL and blob storage services ...

Leviton

Mechanical Engineering Senior Manager

Bothell, WA · On-site

$165 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the role The Senior Manager, Mechanical Engineering is responsible for leading and managing the mechanical engineering function in support of the organization's business and product strategies.

Leviton

Mechanical Engineering Senior Manager

Bothell, WA · On-site

$165 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the role The Mechanical Engineering Senior Manager is responsible for leading and managing the mechanical engineering function in support of the organization's business and product strategies.

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Senior Engineering Manager information

See Renton, WA salary details

$71.4K

$153.1K

$222.7K

How much do senior engineering manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior engineering manager in Renton, WA is $153,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $183,300.00 per year, depending on experience, location, and employer.

What is a senior engineering manager?

A Senior Engineering Manager is a seasoned leader responsible for overseeing multiple engineering teams or large projects within an organization. They manage engineering managers or team leads, set technical direction, and ensure alignment with business goals. Their duties include mentoring staff, driving process improvements, managing budgets, and collaborating with other departments. Senior Engineering Managers play a key role in hiring, performance evaluations, and fostering a productive engineering culture. They typically have extensive industry experience and strong leadership skills.

What is a senior engineering manager?

Senior engineering managers oversee the project team to ensure each phase is completed accurately, on time, and within budget. They coordinate with the company’s marketing and sales departments to determine what products or services are offered to clients and then develop those offerings to specifications. As a senior engineering manager, you may also need to troubleshoot equipment or software. To become a senior engineering manager, you need a certificate or degree in computer science or a related field, several years of working in software development, and management experience.

How does a senior engineering manager typically balance technical leadership with people management responsibilities?

A Senior Engineering Manager often splits their time between guiding technical strategy and supporting their team’s professional development. This involves overseeing complex engineering projects, setting clear technical direction, and ensuring best practices are followed, while also mentoring engineers, conducting performance reviews, and fostering a collaborative team culture. Balancing these areas requires strong delegation, prioritization, and communication skills, as well as regularly collaborating with other departments like Product and Design to align goals. Most organizations expect Senior Engineering Managers to actively contribute to both technical and people-focused initiatives, which can be challenging but is essential for team and project success.

What are the key skills and qualifications needed to thrive as a senior engineering manager, and why are they important?

To thrive as a Senior Engineering Manager, you need a robust background in engineering principles, leadership experience, and a relevant degree, often complemented by prior management roles. Familiarity with project management tools (such as Jira or Asana), software development methodologies (like Agile), and technical certifications can be highly beneficial. Exceptional communication, conflict resolution, and mentoring skills set top performers apart in this role. These skills are vital for effectively guiding teams, delivering projects on time, and fostering an innovative and collaborative engineering environment.

What is the difference between Senior Engineering Manager vs Engineering Director?

AspectSenior Engineering ManagerEngineering Director
ResponsibilitiesOversees multiple engineering teams, manages project delivery, and mentors managersSets strategic direction, manages multiple departments, and aligns engineering goals with company objectives
Required CredentialsBachelor's or Master's in Engineering or related field, 8+ years experience, leadership skillsSimilar credentials, often with 10+ years experience, strategic planning skills
Work EnvironmentHands-on team management within engineering teamsHigh-level strategic planning, cross-department coordination
Industry UsageCommon in tech companies, startups, and large enterprisesTypically found in larger organizations with complex structures

While both roles require strong technical backgrounds and leadership skills, Senior Engineering Managers focus more on team management and project execution, whereas Engineering Directors are responsible for strategic planning and organizational alignment across multiple teams.

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Senior Engineering Manager jobs near you
Infographic showing various Senior Engineering Manager job openings in Renton, WA as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $153,140 per year, or $73.6 per hour.

Senior Engineering Manager, Kernel and Virt

DigitalOcean

Seattle, WA • On-site

$200K - $251K/yr

Full-time

Re-posted 8 days ago

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.

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