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engineering manager, ai developer tools Jobs in Seattle

engineering manager, ai developer tools

full stack software engineer Jobs in Seattle

full stack software engineer

senior lead software engineer

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<div><br>
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<br>
<br>
<ul><li>Health, dental, vision, life, disability insurance</li><li>Retirement Benefits: 401(k) with company match</li><li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>Baby Bonding Leave: 18 weeks</li><li>Holidays: 13 paid days per year<br>
</li></ul><br>
</div><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA; Cambridge, MA, USA; Kirkland, WA, USA; Raleigh, NC, USA; Durham, NC, USA; Seattle, WA, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>8 years of experience programming in C++, Java, Python, Kotlin or Go.</li>
<li>5 years of experience testing, and launching software products.<br>
</li>
<li>5 years of experience in product development.</li>
<li>3 years of experience with software design and architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.</li>
<li>Experience as a Tech Lead or Senior Software Engineer, building scalable internal platforms, workflow execution tools, or enterprise software development systems.</li>
<li>Experience integrating large language models and artificial intelligence into practical applications, and automating workflows or other creative use cases.</li>
<li>Ability to collaborate with Product Management to ensure engineering solutions are aligned with business goals.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
We are launching a massive, executive-backed transformation of our product introduction and software development life cycles. We need a Tech Lead to partner with our Lead Product Manager (PM) and architect the Tooling Work stream from the ground up.<br>
<br>
In this role, you will replace fragmented legacy systems and manual toil with an intelligent, AI-enabled ecosystem. You will lead a fully-funded engineering team to build a malleable tool chain that delivers startup agility without compromising enterprise-grade security. If you want to eliminate friction for thousands of colleagues and define the industry&rsquo;s new standard, this is your mandate.</p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<div><div><div><div><div><div><div><div><div><div><div><br>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div></div></div></div></div></div></div></div></div></div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead the design of an intelligent launch assistant using Large Language Models (LLMs) and agentic AI to analyze technical documents and automate recommendations.</li>
<li>Collaborate with the Lead PM to translate user journeys into scalable architectures, driving the evolution from minimum viable product (MVP) to a fully automated end-state.</li>
<li>Replace fragmented trackers with a unified workflow engine featuring transparent criteria, blocker tracking, and automated Service Level Agreement (SLAs).</li>
<li>Replace manual questionnaires with a dynamic logic engine that triggers Security and Compliance reviews only when necessary.</li>
<li>Build the back end for a real-time executive dashboard tracking North Star metrics like velocity, quality, and throughput.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, Google Cloud Agentic AI

Nautilus Bio

<div><div><p>Location</p><div>
Seattle</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div>
Software &amp; Bioinformatics</div></div><div><p>
Compensation</p><ul><div><p>
$164K &ndash; $221K &bull; Offers Equity</p></div></ul><div><div>
The hiring pay range for this position is based on skills, education, and experience relevant to the role. New hires are typically hired into the low to midpoint of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.</div><div></div><div>
Benefits include medical, vision, and dental insurance, group and supplemental life insurance, 401k retirement plan, responsible paid time off, parental leave, and more. Other components of total compensation include a competitive options grant at the time of hire (with potential for additional grants).</div></div></div></div>
<br><div><div><div>At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to the proteome - one of the most dynamic and valuable sources of biological insight. To accomplish this, we are pursuing hard scientific problems with an entrepreneurial mindset and creating a world-class team of builders, innovators, and dreamers across a wide range of disciplines.</div><p>
We are hiring a <b>Senior Software Engineer II</b> to join our Cloud Data Pipeline team. This team is responsible for the data infrastructure that transforms raw protein measurement data into the scientific outputs that our customers and internal researchers depend on. You'll own ETL pipelines, cloud infrastructure, and the APIs and databases that connect our data platform to the rest of the company. As Nautilus moves into commercial deployment, this role sits at the intersection of data engineering rigor and the practical demands of a production scientific platform. Your work will directly shape what our customers can learn from their experiments and how reliably they can trust the results.</p><p>
This position will report to the Manager, Data Engineering and Cloud Pipelines and is located in Seattle, WA. The position is hybrid and requires a minimum of three days onsite.</p><p><b>
Responsibilities</b></p><ul><li><div>
Design and implement data pipelines and ETLs that process protein measurement data at scale, turning instrument outputs into reliable, query-able scientific results.</div></li></ul><ul><li><p>
Improve the architecture of existing cloud systems: identify structural weaknesses, propose better approaches, and drive implementation alongside the technical lead.</p></li></ul><ul><li><p>
Maintain and evolve the APIs and database schemas that serve internal teams including bioinformatics, science, and product development, adapting as their needs grow.</p></li></ul><ul><li><p>
Contribute to the team's DevOps practice: optimize AWS costs, manage cloud deployments, improve system security, and drive performance improvements through infrastructure changes.</p></li></ul><ul><li><p>
Work cross-functionally with scientific and software teams to define data quality metrics, understand how downstream consumers use pipeline outputs, and ensure the platform meets their needs.</p></li></ul><ul><li><p>
Surface and advocate for changes to project priorities and architecture across the cloud pipeline and adjacent projects.</p></li></ul><p><b>
Requirements</b></p><ul><li><div>
7+ years of relevant experience in a software engineering organization, with a strong track record of delivering production-quality systems.</div></li></ul><ul><li><p>
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.</p></li></ul><ul><li><p>
Fluency in a variety of programming languages. We are currently invested in Python for our data pipelines.</p></li></ul><ul><li><p>
Solid experience with cloud infrastructure on AWS including cost management and deployment practices.</p></li></ul><ul><li><p>
Experience with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CDK).</p></li></ul><ul><li><p>
Experience with relational and non-relational database design</p></li></ul><ul><li><p>
Demonstrated experience building and maintaining data pipelines or ETL systems at production scale.</p></li></ul><ul><li><p>
Skilled in multiple technology domains with the ability to independently pick up new ones as needed.</p></li></ul><ul><li><p>
Strong communication skills and comfort working across engineering, science, and product stakeholders.</p></li></ul><ul><li><p>
Ability to identify when a change in direction is necessary and deal competently with that shift.</p></li></ul><ul><li><p>
Familiar with AI-driven development tools and methodologies.</p></li></ul><p><b>
Nice to Haves</b></p><ul><li><div>
Experience with Docker and container orchestration tools (Kubernetes, ECS).</div></li></ul><ul><li><p>
Experience with workflow orchestration tools (e.g., Nextflow, Step Functions, Airflow, Prefect).</p></li></ul><ul><li><p>
Experience with data observability, pipeline monitoring, or data quality frameworks.</p></li></ul><ul><li><p>
Background in biotech, life sciences, or scientific data processing.</p></li></ul><ul><li><p>
Familiarity with NoSQL data stores and when to use them alongside relational databases.</p></li></ul></div></div><p></p>

Senior Software Engineer II, Cloud Data Pipeline Seattle

Lyft

<div><p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>
The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides.</p>
<p>
Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities.</p>
<p>
This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.</p>
<p>
This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately.</p>
<p>
We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.</li>
<li>Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.</li>
<li>Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions</li>
<li>Deliver scalable, reliable, high quality and well-tested solutions and code.</li>
<li>Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.</li>
<li>Lead code reviews, design reviews, production on-call support and incident triaging process.</li>
<li>Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.</li>
</ul><h2 class="jobSectionHeader"><b>Experience:</b></h2>
<ul><li>B.S., M.S. in Computer Science or related technical field or relevant work experience.</li>
<li>6+ years of professional experience building scalable distributed systems with high availability, observability and reliability requirements.</li>
<li>Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams.</li>
<li>Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.</li>
<li>Experience driving AI adoption or automation initiatives to improve operational efficiency.</li>
<li>Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus.</li>
<li>Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc.</li>
<li>Strong oral and written interpersonal skills.</li>
<li>Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.</li>
</ul><h2 class="jobSectionHeader"><b>Benefits:</b><br>
</h2>
<ul><li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</p>
<p>
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>
The expected base pay range for this position in the Seattle area is $136,160 - $170,200 , not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p></div>

Senior AI Software Engineer, Risk - Insurance Claims Management

Apple

<p>As a Data Engineer on the Capacity Engineering team, you will help design, build, and operate the data foundation that drives capacity, cost, and power-related decisions across Apple&rsquo;s infrastructure footprint.<br>
<br>
In this role, you will:<br>
<br>
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments.<br>
<br>
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases.<br>
<br>
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple.<br>
<br>
Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement.<br>
<br>
Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services.<br>
<br>
Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple&rsquo;s standards for data protection and privacy.<br>
<br>
Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement.<br>
<br>
Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.).<br>
<br>
<b>Description</b><br>
<br>
Apple&rsquo;s Capacity data engineering team, within the Apple Services Engineering organization, is building the centralized data backbone that powers how Apple understands, plans, and optimizes its cloud and data center infrastructure.<br>
<br>
We engineer a unified, trusted data lake that consolidates cost, metering, utilization, forecasting, and power metrics produced by Apple platforms and systems (including bare metal) across both third-party and Apple internal clouds. Enriched with metadata and attribution, this becomes the single source of truth for internal billing, understanding usage and utilization, clawbacks, planning, procurement, and efficiency initiatives.<br>
<br>
We collaborate with platform engineering, finance, capacity engineering, and leadership teams to build large-scale data pipelines, enable descriptive and predictive analytics, and power dashboards and products that support critical business decisions. This is your opportunity to help design and operate highly visible, global-scale systems processing petabytes of data and supporting hundreds of users across Apple.<br>
<br>
Come join us to help deliver the next generation of infrastructure insights at Apple.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced degree in a related field a plus.<br>
<br>
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus)<br>
<br>
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus<br>
<br>
Understanding of authentication and authorization (AuthN/AuthZ) patterns<br>
<br>
Knowledge of data governance principles, data security best practices, and data privacy regulations<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field.<br>
<br>
5+ years of experience in data engineering (or equivalent practical experience), including:<br>
<br>
Building and maintaining large-scale ETL/ELT data pipelines<br>
<br>
Distributed computing (e.g., Spark / PySpark) for data processing and automation<br>
<br>
Query performance optimization and tuning at scale<br>
<br>
Hands-on experience with:<br>
<br>
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines<br>
<br>
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting<br>
<br>
Big data platforms and/or data lake architectures<br>
<br>
Experience with CI/CD tooling such as Jenkins (or similar tools)<br>
<br>
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services)<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Data Engineer

Nordstrom

<div><div>1600 7th Avenue, Seattle, Washington 98101
</div><div><div><p>In the Data &amp; Analytics Services organization, our teams build and maintain the data infrastructure that powers customer analytics, merchandising insights, and marketing measurement across Nordstrom. We help ensure customers receive a seamless, personalized experience across every channel by building the unified data assets that drive business decisions at every level of the company.</p><p>
Delivering great customer experiences &mdash; from relevant recommendations to accurate loyalty rewards to effective marketing &mdash; depends on a consistent view of our customers across channels. Our Customer Identity team maintains the platform that makes this possible, and this role will serve as its technical lead.</p><p></p><p>
As the Lead Data Engineer on the Customer Identity team, you will own the technical direction: hands-on with customer recognition systems and data quality analysis while also setting roadmap and strategy for the team. You&rsquo;ll guide 4 engineers, with plans to grow the team as scope expands. You&rsquo;ll own the full lifecycle of identity platform quality &mdash; from improving match accuracy to designing quality KPIs to modernizing our data platform architecture.</p><p></p><p><b>
A day in the life...
</b></p><ul><li>Own the strategy to improve customer recognition accuracy by working with upstream data partners, evaluating data enrichment approaches and piloting new techniques that help deliver more consistent and personalized experiences</li><li>
Collaborate with customer analytics leadership and business stakeholders to ensure the identity platform supports key use cases, from marketing measurement to customer lifetime value modeling to personalization</li><li>
Design and implement platform quality KPIs, match confidence scoring, precision/recall metrics, and reconciliation measures across identity methods to ensure accuracy and reliability</li><li>
Lead the migration of identity infrastructure from complex orchestration layers to a warehouse-native architecture (BigQuery + dbt), reducing operational overhead so the team can focus on analytical improvement</li><li>
Mentor and develop engineers on the customer analytics, setting technical standards, running design reviews, and providing direct feedback</li><li>
Maintain a high bar for data quality, testing, and monitoring, building automated checks that catch data quality regressions before they impact downstream reporting</li></ul><p></p><p><b>
You own this if you have...</b></p><ul><li>
7+ years of experience in data engineering, applied data science, or machine learning, with hands-on work in entity resolution, record linkage, or customer identity systems at scale</li><li>
Deep understanding of data matching concepts: match rules, blocking strategies, confidence thresholds, and precision/recall tradeoffs in customer data systems</li><li>
Production-quality SQL skills and fluency in BigQuery or a comparable cloud data warehouse, with hands-on experience in dbt, airflow or equivalent transformation frameworks</li><li>
Ability to frame ambiguous data quality problems as measurable experiments and communicate statistical concepts to business stakeholders</li></ul><p></p><p>
#LI-Hybrid</p><p></p><p><b>
We&rsquo;ve got you covered&hellip;</b></p><p></p><p>
Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:</p><ul><li><p>
Medical/Vision, Dental, Retirement and Paid Time Away</p></li><li><p>
Life Insurance and Disability</p></li><li><p>
Merchandise Discount and EAP Resources</p></li></ul><p></p><p>
A few more important points...</p><p></p><p>
The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.</p><p></p><p>
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
</p><p></p><p>Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.</p><p></p><p>
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.</p><p></p><p>
&copy; 2022 Nordstrom, Inc</p><p></p><p>
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.</p><p></p><p>
Nordstrom keeps job postings open for at least one day after the posting date.</p><p></p><p><b>
Pay Range Details</b></p><p></p><p>
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.<br>
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.</p>
$166,000.00 - $258,000.00 Annual<p></p>
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf</div><br>
<p></p>
</div>
<h3 class="jobSectionHeader"><b>Job Details</b></h3>
<div>
<div><p>Job category</p>
</div><div></div><div><p>Date posted</p>
<div>04/16/2026</div>
</div><div><p>End posting date</p>
</div><div></div><div><p>Position type</p>
</div><div></div><div><p>Job ID</p>
<div>R-829906</div>
</div><div><p>Salary range</p>
<div>$166,000.00 - $258,000.00</div></div></div></div>

Lead Data Engineer, Customer Identity Analytics (Hybrid - Seattle, WA)

Amphenol

<p></p><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Location:</b></p><b> </b></div></div><div>Seattle, Washington
</div></div><br>
<div><div><div><p><b>Department:</b></p><b> </b></div></div><div>Engineering
</div></div><br>
<div><div><div><p><b>Posted:</b></p><b> </b></div></div><div>4/20/2026
</div></div><br>
<div><div><div><p><b>Location Name:</b></p><b> </b></div></div><div>Seattle
</div></div><br>
</div></div></div><div><div><div><div><div><div><p><b>Wage Max:</b></p><b> </b></div></div><div>165,700.00 Annual
</div></div><br>
<div><div><div><p><b>Wage Min:</b></p><b> </b></div></div><div>100,000.00 Annual
</div></div><br>
<div><div><div><p><b>Position Type:</b></p><b> </b></div></div><div>Full Time<br>
</div></div><br>
<br>
</div></div></div></div></div><p></p><div><div><div><p>Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world&rsquo;s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.</p>
</div></div></div><div><div><div><p>Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a global leader in designing and manufacturing high-performance interconnect solutions that power the world's most advanced technology. Our broad product portfolio includes high-speed connectors, sockets, power connectors, and cable assemblies that support next-generation data centers, enterprise servers, storage systems, networking equipment, and high-speed computing environments. With a strong global presence in R&amp;D, manufacturing, and sales, ACS is committed to innovation, quality, and customer success.</p>
<p><b>Work Location &amp; Travel Requirements:</b></p>
<p>This role is hybrid for candidates residing in the Bay Area, based out of our Santa Clara office, and remote for candidates located elsewhere in California. All employees will be required to attend scheduled meetings and trainings as needed, and the position also involves frequent travel to visit clients.</p>
<p><b>Summary</b></p>
<p>We are seeking an experienced Connector Development Engineer to join our team and contribute to the design and development of next-generation interconnect products. This role will focus on creating advanced connector and cable solutions&mdash;including signal and power connectors&mdash;that meet the performance, reliability, and cost demands of leading technology customers worldwide. The ideal candidate brings a strong background in connector design and development, hands-on engineering expertise, and the ability to collaborate across global teams and customer partners.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Lead the planning, design, and execution of connector and interconnect development projects from concept through evaluation and qualification.</li>
<li>Design high-speed connectors, power connectors, and cable assemblies, including card edge, memory, and storage connectors.</li>
<li>Collaborate with global customers and cross-functional teams to define requirements and deliver innovative interconnect solutions.</li>
<li>Apply knowledge of server/storage architectures, industry standards (PCI-SIG, OCP, JEDEC, SFF), and signal integrity principles.</li>
<li>Develop prototypes, oversee testing/qualification, and ensure compliance with industry and customer performance standards.</li>
<li>Conduct cost analysis, provide design trade-offs, and support decisions for product management and manufacturing.</li>
<li>Benchmark competitive products to drive differentiation in performance, cost, and manufacturability.</li>
<li>Provide technical support to Sales and Marketing, including customer training, presentations, and direct engagement.</li>
<li>Partner with Manufacturing to address cost reduction, quality improvement, and customer issue resolution.</li>
<li>Stay current with technology trends and emerging interconnect solutions&mdash;including power interconnect innovations&mdash;to guide future product development.</li>
</ul><p><b>Qualifications</b></p>
<ul><li>Bachelor's degree in mechanical engineering, Electrical Engineering, or a related technical field.</li>
<li>8+ years of experience in connector and/or cable assembly design and development.</li>
<li>Proven experience with card edge, memory, power connectors, and high-speed cable assemblies.</li>
<li>Familiarity with industry standards such as PCIe, DDR, OCP, JEDEC, and SFF.</li>
<li>Strong analytical, problem-solving, and design skills.</li>
<li>Excellent communication and interpersonal skills with the ability to collaborate across global teams.</li>
<li>Proficiency in 3D modeling tools (e.g., Creo) and Product Data Management systems (e.g., Windchill) preferred.</li>
</ul>
</div></div></div><div><div><div><p>Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.</p>
<p>Amphenol is an &ldquo;Equal Opportunity Employer&rdquo; - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/</p></div></div></div></div></div></div></div><div></div>

Senior Connector Development Engineer

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<div>Seattle, Washington 98039 Posted March 12th, 2026
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<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

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