full stack software engineer Jobs in Seattle

full stack software engineer

senior cloud & automation engineer Jobs in Seattle

senior cloud & automation engineer

senior/principal machine learning engineer Jobs in Seattle

senior/principal machine learning engineer

software development engineer iii / senior software development engineer - full stack Jobs in Seattle

software development engineer iii / senior software development engineer - full stack

senior cloud automation engineer

Verinext

<div><p>We are seeking a Senior Cloud &amp; Infrastructure Automation Engineer with deep expertise in Terraform, Microsoft Azure, and Databricks to design, automate, and evolve cloud infrastructure and data platforms. This role sits at the intersection of cloud infrastructure, identity-driven provisioning, and data integration, and requires both hands-on execution and the ability to influence better technical approaches across the organization.</p><p></p><p>
The ideal candidate brings strong engineering fundamentals, modern automation practices, and the flexibility to help shape how infrastructure and data platforms are provisioned, integrated, and delivered at scale.<br>
<br>
This is a contract opportunity with one of Verinext's clients. Candidates must be comfortable working West Coast hours.
</p><p><b>Requirements</b></p><p><b>
Azure Cloud Engineering</b></p><ul>
<li>
Architect, deploy, and manage enterprise-grade Azure infrastructure and services</li>
<li>Implement and optimize Azure networking, security, identity, and governance components</li>
<li>Partner with architecture and platform teams to improve cloud design patterns and operational models</li>
</ul><p><b>
Infrastructure as Code &amp; Automation (Terraform)</b></p><ul>
<li>
Design and maintain Infrastructure as Code (IaC) using Terraform for repeatable, scalable deployments</li>
<li>Build and enhance CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent) to automate infrastructure provisioning and changes</li>
<li>Introduce and evaluate alternative automation approaches to improve speed, reliability, and maintainability</li>
</ul><p><b>
Data Platform Integration (Databricks)</b></p><ul>
<li>
Support provisioning and integration of Databricks environments within Azure</li>
<li>Enable secure and reliable data movement in and out of Databricks</li>
<li>Collaborate with data engineering teams to align infrastructure automation with analytics and data platform needs</li></ul><p><br>
<b>Additional Responsibilities</b></p><ul>
<li>
Support cloud provisioning workflows integrated with <b>SailPoint</b>, enabling identity-driven access and automation</li>
<li>Track and report delivery progress and project work using <b>Jira</b>
</li><li>Participate in agile ceremonies, technical design reviews, and cross-team planning</li>
<li>Document infrastructure standards, automation workflows, and best practices</li></ul><p><br>
<b>Required Skills &amp; Experience</b></p><ul>
<li>
Senior-level experience with Terraform in production Azure environments</li>
<li>Strong hands-on experience with Microsoft Azure, including compute, networking, security, and identity</li>
<li>Experience supporting or integrating Databricks within Azure-based platforms</li>
<li>Proven experience building and maintaining CI/CD pipelines for infrastructure and platform deployments</li>
<li>Experience working with Jira for project tracking and delivery reporting</li>
<li>Ability to think beyond standard implementations and propose improved or alternative technical solutions</li></ul><p><br>
<b>Nice-to-Have Skills</b></p><ul>
<li>
Experience with SailPoint identity provisioning and access workflows</li>
<li>Experience with Boomi for integration and data orchestration</li>
<li>Exposure to JD Edwards (JDEdwards) environments or ERP integrations</li>
<li>Familiarity with DevSecOps and cloud security automation practices</li></ul><p><br>
<b>Soft Skills &amp; Attributes</b></p><ul>
<li>
Strong problem-solving and analytical skills</li>
<li>Comfortable working across cloud, identity, data, and application teams</li>
<li>Clear communicator with both technical and non-technical stakeholders</li>
<li>Adaptable, collaborative, and continuously improvement-focused</li></ul><p></p><p><b><br>
Benefits</b></p><ul>
<li>
Health Care Plan (Medical, Dental &amp; Vision)</li>
<li>Retirement Plan (401k, IRA)</li></ul></div>

Senior Cloud & Automation Engineer

Adaptive6

<div>
 Adaptive6 is the industry's first Cloud Cost Governance platform, helping enterprises maximize cloud efficiency by optimizing their infrastructure. The platform continuously scans multi-cloud, PaaS, and Infrastructure-as-Code environments, uncovering hundreds of hidden inefficiencies that are typically overlooked. Inspired by cybersecurity methodologies, it accelerates remediation with AI-driven code fixes and proactively prevents waste before deployment through shift-left cost policies.
 <br/>
 <br/>
 With rapid adoption among Fortune 500 companies, we are expanding our world-class team to meet growing demand.
 <br/>
 <br/>
 We are looking for our next
 <strong>
  Sales Engineer
 </strong>
 &mdash;a dynamic, customer-focused professional who thrives at the intersection of technology and business. This is a high-impact role where you&rsquo;ll help shape the customer journey, showcase the power of our solutions, and influence the growth of our business. In this position, you will:
 <br/>
 <br/>
 <ul>
  <li>
   Partner with Account Executives to drive technical discovery, demos, and POCs.
  </li>
  <li>
   Translate complex customer requirements into product solutions.
  </li>
  <li>
   Act as a trusted advisor to prospects and customers throughout the sales cycle.
  </li>
  <li>
   Provide technical feedback to product and engineering teams.
   <br/>
   <br/>
  </li>
 </ul>
 Requirements:
 <br/>
 <br/>
 <ul>
  <li>
   3+ years of experience as Sales/Pre-Sales/Solutions Engineer in SaaS or enterprise software.
  </li>
  <li>
   Strong technical background (cloud infrastructure, DevOps, or security).
  </li>
  <li>
   Excellent presentation and communication skills in English.
  </li>
  <li>
   Ability to build trust with both technical and business stakeholders.
  </li>
 </ul>
</div>


Sales Engineer (Remote)

Workday

<div><div>Your work days are brighter here.</div><div></div><div>
We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.</div><div></div><div>
About the Team</div>
Agent Factory is where Workday&rsquo;s next chapter gets built. We&rsquo;re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI&mdash;deeply embedded into Workday&rsquo;s platform&mdash;not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You&rsquo;ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.<div></div><div>
About the Role</div><div></div><div>
As a Senior/Principal Machine Learning Engineer in Agent Factory, you&rsquo;ll design and build the core ML systems behind Workday&rsquo;s next generation of AI agents. Working within a small, senior, cross-functional pod, you&rsquo;ll own how models, agent logic, and orchestration layers come together in production&mdash;across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement. You&rsquo;ll implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready. This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack. You&rsquo;ll stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale.</div><div></div><div>
About You</div><div></div><div>
Principal Machine Learning Engineer - Basic Qualifications</div><ul><li><div>
10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation</div></li><li><div>
4+ years of professional experience in machine learning and deep learning frameworks &amp; toolkits such as Pytorch, TensorFlow</div></li><li><div>
6+ years of professional experience in building services to host machine learning models in production at scale</div></li><li><div>
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases</div></li><li><div>
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement</div></li><li><div>
Bachelor&rsquo;s (Master&rsquo;s or PhD preferred) degree in engineering, computer science, physics, math or equivalent</div></li></ul><div></div><div>
Senior Machine Learning Engineer - Basic Qualifications</div><ul><li><div>
7+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation</div></li><li><div>
3+ years of professional experience in machine learning and deep learning frameworks &amp; toolkits such as Pytorch, TensorFlow</div></li><li><div>
4+ years of professional experience in building services to host machine learning models in production at scale</div></li><li><div>
2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases</div></li><li><div>
4+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement</div></li><li><div>
Bachelor&rsquo;s (Master&rsquo;s or PhD preferred) degree in engineering, computer science, physics, math or equivalent</div></li></ul><div></div><div>
Other Qualifications:</div><ul><li><div>
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation</div></li><li><div>
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases</div></li><li><div>
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams</div></li><li><div>
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.</div></li></ul><div><br>
Workday Pay Transparency Statement</div><div></div><div>
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please <div>click here</div>.</div><div></div>
Primary Location: USA.WA.Seattle<div></div>
Primary Location Base Pay Range: $215,000 USD - $322,600 USD<div></div>
Additional US Location(s) Base Pay Range: $194,600 USD - $345,600 USD<div><br>
Our Approach to Flexible Work</div><div><br>
With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.</div><div></div><div>
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.</div><div></div><div>
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!</div><div>
At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.</div><div></div><div><br>
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.</div><div></div><div><br>
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</div></div>

Senior/Principal Machine Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Play a key role in operational and process improvement within Amazon Web Services, where we have a history and tradition of innovative technologies and services. Reporting to the Data Center Planning &amp; Delivery organization, you will have the opportunity to partner across the global AWS Infrastructure Services organization to shape the future of the AWS profile and tempo to which we deliver.
<br>
<br>
Data Center Community is growing the One-Intake Program team function in scale and complexity in order to deliver capacity on time to meet customer business requirements. The team is seeking a highly-skilled &amp; driven Senior Technical Program Manager who will help drive the team toward our mission of building durable and reliable data-informed processes within AWS Infrastructure. The ideal candidate has experience managing global Infrastructure projects/programs; developing, monitoring, and reporting project/program health metrics; leading cross-functional teams; developing and implementing change management plans; training and mentoring performance; and driving position readiness improvement. As a Senior Technical Program Manager within this team focused on new product launch preparation (e.g. Machine Learning Products), you will work with cross-organizational teams from Services, Hardware Engineering, Network Engineering, Software development and Capacity Planning teams to prepare for new product end to end launch readiness with automation and operational process in place.
<br>
<br>
Key job responsibilities<br>
The primary responsibilities from the Senior Technical Program Manager include, but are not limited to, the following:<br>
<br>
<br>
<br>
<ul><li>Work with teams/stakeholders cross VP organizations to influence new product and data center design to ensure compatibility (Will focus on Machine Learning Products Primarily)</li><li>Identify new product intake to launch gaps across new product initiative and relevant downstream teams and define strategy and deployment plan to close the gaps</li><li>Work with software system teams to identify existing toolings and integrate them to close offline communication gap
</li><li>Implement system and process changes as long term solution to replace interim manual intervention solution that having cross organization impact</li><li>Drive adoption of established system and processes with teams/stakeholders across VP organizations
</li><li>Create business review documentation (MBR, QBR etc.) and lead program review with VPs</li><li>Establish process health metrics and key performance indicators and work with BIE team to deploy data visualization reports illustrating process health.</li><li>Establish status update report and create Wiki/docs for broader team communication</li><li>Actively explore new ideas and drive implementing it to improve new product preparation.</li></ul><br>
About the team<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
The mission of the One-Intake Program is to prepare for new product launches to the Infra ecosystem that will enable us to meet on-time delivery to customers and not negatively impact established business and operational metrics. Through this program, we will enable AWS Infrastructure Services to close existing intake gaps, improve the ownership of new products, and enhance support from engineering, planning, and operational teams when new instances, racks, and tools are being introduced to Infrastructure ecosystem.
<br>
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of program management or technical project management experience</li><li>Bachelor's degree or equivalent in a related technical field</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in a related technical field</li><li>5+ years of data center or network capacity planning, data center or network infrastructure program/project management, or related technical experience</li><li>Experience in project management including resource planning, managing schedules, reporting project status and prioritizing own tasks and those of other team members for multiple projects</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,800/year in our lowest geographic market up to $231,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Data Center Delivery - Senior Technical Infrastructure Program Manager, Data Center Cental Ops - One-Intake

Uber

<div><b>About the Role</b>
<br>
<br>
We are seeking a talented and experienced Sr Software Engineer to join our Threat Defense and Response team and help drive the next generation of AI-powered cyber defense capabilities. This role will focus on advancing our ability to identify, research, investigate, and respond to evolving threats across cyber defense.<br>
<br>
As cyber threats grow in speed and sophistication, this role will be instrumental in architecting and scaling security solutions that combine advanced engineering with AI. You will collaborate with cross-functional engineering, ML, and security teams, build automation that amplifies human defenders, and shape Uber's cyber defense strategy.<br>
<br>
<b>What the Candidate Will Need / Bonus Points</b>
- What the Candidate Will Do -<br>
<ul><li>
Design and develop scalable, reliable, and high-performance software platform and services for Uber's cyber defense
</li><li>Drive development of AI agents that support cyber defense workflows including threat intelligence, hunting, research, and more.</li><li>
Collaborate with cross-functional cybersecurity experts to translate requirements into automated, production-ready capabilities.</li><li>
Collaborate with cross-functional software engineering teams to build end-to-end cyber defense solutions.</li><li>
Contribute to strategy by defining what good&quot; looks like across cyber defense domains and guiding the team toward measurable outcomes.</li><li>
Deliver high-quality, secure code and mentor junior engineers in engineering best practices.</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field</li><li>
5+ years of experience in software engineering, with a focus on building and scaling systems</li><li>
Proficiency in at least one of the following programming languages: C++, Java, Go, or Python</li><li>
Strong experience in backend software architecture design</li><li>
Experience in building and evaluating AI agents/agentic workflows end-to-end</li><li>
Hands-on experience with cloud environments (AWS, GCP, or Azure) and containerized platforms (Docker, Kubernetes)</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
Master's or PhD degree in Computer Science, Engineering, Cybersecurity, or a related field
</li><li>Experience with AI/ML technologies and frameworks and incorporating them into production systems</li><li>
Knowledge of cybersecurity concepts, principles, tools, and best practices. Hands-on experience in a cybersecurity domain (e.g. threat intelligence, threat hunting, threat modeling, vulnerability management, detection engineering, incident response) would be a plus</li><li>
Proven track record of leading complex software projects from inception to delivery</li><li>
Strong problem-solving skills and a passion for innovation</li></ul><br>
<br>
<br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr Software Engineer, AI and Backend

P2S Inc.

P2S stands as a provider of professional engineering services to a broad range of markets, including higher education, healthcare, ports/harbors, industrial, entertainment, commercial, laboratories, municipal, and federal sectors. Our specialties include electrical, mechanical, plumbing, fire protection, and technology integration. Our offered services range from engineering and commissioning to construction management. With over 300 dedicated employees, P2S is an internationally recognized leader in many of the key markets we serve. We provide a blend of innovation and technical excellence in delivering green solutions that enhance and sustain the built, natural, and social environments. Currently, we have offices in Long Beach, Seattle, Irvine, San Diego, Los Angeles, and San Jose.
<br><br>
Join our award-winning team. Recognized as the Best Place to Work for over a decade, P2S offers a collaborative, innovative environment where your contributions make a real impact.
<br><b>Employment Type:</b> Full-time
<br><b>Work Schedule:</b> Hybrid — 3 days in-office, 2 days remote
<br><b>Salary Range:</b> $150,000-183,000, based on experience
<br><b>Career Level:</b> Senior
<br><b>Location:</b> Seattle, WA , Long Beach CA, Irvine CA
<br><br>
Position Summary
<br>We are seeking a Senior Mechanical Engineer with extensive experience in HVAC system design to join our engineering team. The ideal candidate will have 10+ years of experience in the design and coordination of HVAC systems for commercial, institutional, and industrial buildings. This position involves leading mechanical design efforts, managing projects from concept through construction, and collaborating closely with architects, owners, and other engineering disciplines to deliver high-quality, coordinated designs. The Senior Mechanical Engineer will also mentor junior staff and contribute to business development and process improvement initiatives.
<br><br>
Key Responsibilities
<br><ul>
<li>Lead and perform HVAC system design including load calculations, equipment selection, and ductwork/hydronic system layout.</li>
<li>Prepare and review drawings, specifications, and technical documentation in accordance with project and code requirements.</li>
<li>Coordinate designs with architectural, structural, electrical, and plumbing disciplines to ensure fully integrated building systems.</li>
<li>Conduct field surveys, evaluate existing mechanical systems, and develop retrofit or upgrade solutions.</li>
<li>Support project development from concept design through construction administration, including responding to RFIs and reviewing submittals.</li>
<li>Collaborate with clients and project managers to define scope, schedule, and budgets for mechanical portions of projects.</li>
<li>Serve as the primary client contact for project communication, technical discussions, and scope management.</li>
<li>Support business development efforts by assisting with proposals, fee estimates, and presentations.</li>
<li>Mentor junior engineers and designers, providing technical guidance and quality assurance reviews.</li>
<li>Stay current with applicable building codes and industry standards.</li>
<li>Participate in internal design reviews, QA/QC processes, and project closeout documentation.</li>
<li>Stay current with ASHRAE standards, building codes, and emerging technologies relevant to mechanical system design.</li>
</ul>
Qualifications
<br><ul>
<li>Bachelor’s Degree in Mechanical Engineering.</li>
<li>Professional Engineer (PE) license or ability to obtain within 12 months (required).</li>
<li>10+ years of progressively responsible experience in HVAC design within a consulting engineering or design-build environment.</li>
<li>Proficiency in Revit, AutoCAD, and HVAC load calculation software (e.g., Carrier HAP, Trane TRACE).</li>
<li>Strong understanding of HVAC system types (VAV, DOAS, hydronic systems, chilled/hot water plants, VRF, etc.).</li>
<li>Familiarity with energy modeling, sustainability, and LEED/ASHRAE 90.1 compliance (required).</li>
<li>Excellent written and verbal communication skills; ability to lead technical discussions with clients and project teams.</li>
<li>Demonstrated ability to manage multiple projects and meet deadlines in a collaborative environment.</li>
<li>Project Management experience (preferred).</li>
</ul>
Additional Preferred Skills
<br><ul>
<li>Experience with healthcare, laboratory, higher education, or mission-critical facilities.</li>
<li>Knowledge of specification writing and Division 23 standards.</li>
<li>Basic understanding of building automation systems and controls integration.</li>
<li>Field experience with commissioning or construction administration.</li>
</ul>
#LI-CC1 #Li-Hybrid
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What sets P2S apart?
<br>For 15 years in a row, P2S has been regarded as a “Best Place to Work” by our employees. Why? Because we value satisfied employees just as much as satisfied clients. With competitive benefits, flexible work schedules, paid training/professional memberships, and more. - we aim to attract the best talent and keep them here
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<b>Learn more about what it means to work at P2S:</b> https://www.p2sinc.com/join
<br>P2S is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
<br>About Legence
<br><b>Legence (Nasdaq:</b> LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems—enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients.
<br>Benefits
<br><b>401(k) Plan with Company Match:</b> Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting.
<br><b>Health & Welfare Benefits:</b> Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage.
<br><b>Life and Disability Insurance:</b> Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy-up for additional coverage.
<br><b>Time Off:</b> Flexible non-accrual vacation; company holidays per policy. (For California employees, this is separate from California paid sick leave, if applicable.)
<br><b>Expenses:</b> Business travel and related expenses reimbursed per company policy.
<br><b>Discount Program:</b> Company-sponsored discount program with savings on multiple lifestyle categories.
<br>Reasonable Accommodations
<br>If you need assistance or accommodations during the application or interview process, please contact us at ta@wearelegence.com or your dedicated recruiter with the job title and requisition number.
<br>Third-Party Recruiting Disclaimer
<br>Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence.
<br>Pay Disclosure & Considerations
<br>Where pay ranges are indicated, please note that a successful candidate’s exact pay will be determined based relevant job-related factors, including any of the following: candidate’s experience, skills, and qualifications, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws.
<br>Equal Employment Opportunity Employer
<br>Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations.
<br>EEO is the Law

Senior Mechanical Engineer

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced manufacturing facilities that will transform production at Amazon's scale. We're building revolutionary factory systems that combine cutting-edge automation, sophisticated process engineering, and advanced simulation modeling to create adaptable manufacturing solutions capable of meeting dynamic production demands. This is a unique opportunity to shape the future of manufacturing and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in factory design, process optimization, and production flow.
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As an Industrial Engineer, you will develop innovative and complex factory layouts using simulation modeling to optimize our manufacturing operations and enhance production efficiency. The ideal candidate has demonstrated experience designing and optimizing manufacturing systems from the ground up. They enjoy analytical problem solving and possess practical knowledge of factory design, process engineering, and discrete event simulation. They thrive in an interdisciplinary environment and have led the development of efficient manufacturing systems in highly automated environments.
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Key job responsibilities<br>
<ul><li>Support cross-functional teams in factory design projects
</li><li>Use simulation modeling tools to analyze manufacturing systems
</li><li>Create discrete event simulations for factory validation
</li><li>Learn and apply basic Lean/Six Sigma concepts to improve processes
</li><li>Maintain material flow documentation for production environments
</li><li>Support the maintenance of factory simulation models
</li><li>Collaborate with various teams to understand factory operations
</li><li>Prepare technical documentation
</li><li>Follow established engineering practices and maintain proper documentation
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Experience using advanced simulation modeling tools (Flexsim, Arena, Simio, etc.)</li><li>Experience in complex work environments, including (but not limited to robotics, automation, diagnostic and test equipment)</li><li>Experience in creating process improvements with automation and analysis</li><li>Experience collaborating with cross-functional teams</li><li>Experience with Six Sigma, lean manufacturing</li><li>Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or related field</li><li>Experience working in a factory environment or on production lines</li><li>Experience writing technical documents, project plans and progress reports to leadership and to stakeholders</li><li>Experience with full lifecycle development of manufacturing systems</li><li>Demonstrated ability to translate simulation insights into practical implementation plans</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in industrial or manufacturing engineering</li><li>Lean Six Sigma Green Belt or Black Belt certification</li><li>Experience using data visualization tools</li><li>Experience with the project management of technical projects</li><li>Experience in material handling systems (MHS) installation, operation and maintenance</li><li>Experience with digital twin technology for factory simulation</li><li>Experience integrating robotics and automation into manufacturing processes</li><li>Experience with data analysis for manufacturing optimization</li><li>Experience launching new manufacturing facilities or production lines</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,400/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Industrial Engineer II, Amazon Industrial Robotics

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