Engineering Structures Jobs in Oakland Ca Remote

679 positions found — Page 2

Lecturer - Development Engineering - The Blum Center for Developing Economies
✦ New
Salary not disclosed
Berkeley, CA 1 day ago
Position overview

Position title:
Lecturer

Salary range:
Starting salary is commensurate with highest degree, teaching experience, and equity within the Department.

The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: The current full-time salary range for Lecturer positions is $68,247 - $192,040

Percent time:
Variable 11%-100% - Lecturers

Anticipated start:
7/1/2025 for AY 2025-2026 Appointments

8/1/2025 for fall 2025 appointments

1/1/2026 for spring 2026 appointments

Summer sessions dates depend on session

Review timeline:
The review of applications for Fall semester appointments will be in April, for Spring semester appointments in October, and for Summer Sessions appointments in March.

Position duration:
One semester or one year appointments for lecturers.

Application Window


Open date: April 23, 2025




Most recent review date: Thursday, Nov 20, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Tuesday, Mar 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The Blum Center for Developing Economies at the University of California, Berkeley is generating an applicant pool of qualified instructors and invites applications to teach courses in the area of Development Engineering. In addition to core DevEng classes (DevEng 200, 202, 203, 204, 205, 206), new classes may be planned based upon student interest and candidate expertise. Candidates under consideration will be contacted by the Blum Center. The previous pool will close April 9, 2025. Those interested in remaining in the pool must reapply.



Founded in 2006, The Blum Center for Developing Economies at UC Berkeley brings together academics, partner organizations, entrepreneurs, and business leaders to solve the world's most pressing development challenges. Operating on the notion that a world-class public research university must be a force for tackling society's most persistent challenges, the Blum Center inspires and facilitates interdisciplinary research and problem-solving; teaches students to think critically and optimistically about issues of poverty and development; equips the next generation of social entrepreneurs with the skills needed to design, deploy, and scale world- changing innovations; and advises and trains groups and organizations on methods for fostering a culture of innovation in their workplaces. To learn more about our center please visit our website.



General Duties: Lecturers are responsible for the course syllabus, curriculum development and delivery, student mentoring, student assessment through relevant projects, problem sets, exams, class attendance and participation, and grades. Project-based courses will require working with potential sponsors.



The Blum Center welcomes candidates whose professional and teaching experiences align with our mission to help individuals and communities increase access to resources through economic development and technology innovation.



Unit:

Program: academics/development-engineering/

Labor Contract:



Qualifications

Basic qualifications (required at time of application)

Bachelor's degree or equivalent international degree is required at time of application.



Additional qualifications (required at time of start)

Required by the start of the appointment, applicants must hold either a master's degree or higher, or equivalent international degree, or at least 5 years of industry or nonprofit organization experience.



Preferred qualifications

Ph.D. or equivalent international degree or graduate professional degree is preferred in a discipline associated with development engineering (e.g ., development technologies, development economics and business models, impact analysis, design for development, city planning, political economy). Teaching experience in two or more of the topic areas listed below is preferred. Also desirable are a strong track record in developing and implementing new and innovative methods of delivering education and hands-on learning, project-based learning, and experience working with students from a range of disciplines. Leadership experience in professional practice is preferred. Applicants must be eligible to work in the U.S.A.



Topic areas include, but are not limited to:



* Critical theories in global development, engineering, and design

* Human-centered design

* Design for base of the pyramid

* Poverty studies

* Community-based teaching, research, project-implementation

* Innovation studies / theory of change

* Sustainable development

* Social and environmental justice

* Engineering ethics

* Social entrepreneurship

* Innovation in humanitarian and disaster response

* Climate action

* Digital transformation of development

* AI for social impact

* Health technologies for low-resource settings

* Sustainability

* Software for Sustainable Design

* Multidisciplinary project-based courses that engage students in experiential learning to help to solve real-world problems (e.g. STEM Solutions for Social Impact; Hacking for Local; Design, Evaluate and Scale Development Technologies; Mission Driven Start-Ups)



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter


  • Statement of Teaching - Please describe your prior teaching experience, teaching philosophy, and future instructional interests. You may include specific examples of how you have supported - or plan to support - student success through curriculum design, classroom environment, and teaching methods.


  • Past Teaching Evaluation (Optional)




Reference requirements
  • 2 required (contact information only)


Apply link:
JPF04911

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
Engineering Manager II, Machine Learning - User Understanding
✦ New
Salary not disclosed
San Francisco, CA 1 day ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.


What you will do:



  • Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  • Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
  • Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
  • Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  • Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
  • Foster a collaborative, inclusive, and high-performing team culture.


What we're looking for:



  • 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
  • 2+ years of people management experience leading engineering teams.
  • Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
  • Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.


In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.

#LI-AK7
#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,308—$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Machine Learning Engineer, Monetization Engineering
✦ New
🏢 Pinterest
Salary not disclosed
San Francisco, CA 1 day ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.


Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.


What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keep up with industry trends in recommendation systems
  • Leverage LLMs to enhance content understanding


What we're looking for:



  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • Degree in computer science, machine learning, statistics, or related field
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  • Nice to have:


    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • Background in computational advertising




Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-HYBRID


#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$163,418—$285,982 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Sr. Machine Learning Engineer, Monetization Engineering
✦ New
🏢 Pinterest
Salary not disclosed
San Francisco, CA 1 day ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.


Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.



What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keep up with industry trends in recommendation systems
  • Leverage LLMs to enhance content understanding


What we're looking for:



  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • Degree in computer science, statistics, or related field; or equivalent experience
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  • Nice to have:

    • M.S. or PhD in Machine Learning or related areas
    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • Background in computational advertising




Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-HYBRID


At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,721—$332,012 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Lecturer Pool - Molecular Science and Software Engineering (MSSE) - College ofChemistry
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 2 days ago
Position overview

Position title:
Lecturer

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $70,977-$199,722.

Percent time:
Variable

Anticipated start:
Positions usually start in August and January.

Review timeline:
Applications are typically reviewed for fall course needs in April and in September for spring course needs. Please note that the use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the College is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Application Window


Open date: June 14, 2025




Most recent review date: Tuesday, Jul 29, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Tuesday, Aug 25, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The College of Chemistry at the University of California, Berkeley is generating an applicant pool of qualified lecturers to teach graduate courses on the Berkeley campus for the Master of Molecular Science and Software Engineering (MSSE) Program should an opening arise. We are seeking dynamic lecturers with a commitment to graduate education in computational science, data science, and software engineering to lead multiple courses each year. Disciplines where we are seeking instructors include:




  • Computational Chemistry
  • Computational Quantum Chemistry
  • Scientific Computing
  • Machine Learning/Deep Learning
  • Structural Bioinformatics
  • High Performance Computing
  • Complex mathematical modeling and simulations
  • Leadership, management, and entrepreneurship


The MSSE Program is a unique program that is designed to formally train scientists, engineers, and computer scientists in computational and data science, and to provide them with the tools, software engineering practices, leadership, management, and entrepreneurial skills needed to create or lead science- or engineering-based enterprises. While the degree focuses on the molecular sciences, its content is suitable for any student pursuing software engineering or data science roles in other science-based industries, or in other areas that require advanced machine learning, complex mathematical modeling and simulations, or high-performance computing.



General Duties:

Classroom teaching and preparation, managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.



The MSSE Program seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.



Program:

Contract for the Lecturers Unit (IX) between the University of California and the American Federation of Teachers:



Qualifications

Basic qualifications (required at time of application)

Advanced degree or enrolled in an advanced degree program.



Additional qualifications (required at time of start)

Advanced degree.



Preferred qualifications

  • A Ph.D., or equivalent international degree, in an area related to computational science, data science, and/or software engineering
  • Prior teaching and/or work experience in computational science, data science, and/or software engineering
  • Leadership, management, and entrepreneurial skills in STEM fields
  • Existing authorization to work in the U.S.
  • Proficient in C++ and Python programming languages


Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter (Optional)


  • Statement of Teaching




Reference requirements
  • 3-5 required (contact information only)


Apply link:
JPF04972

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
Principal Mechanical Integration Engineer - DCI Pipes, Frames and Structures (REMOTE)
Salary not disclosed
Austin, TX, Remote 4 days ago
Job Title : Principal Mechanical Design Engineer
Job Family : Mechanical Design Engineering
Organization : Data Center Infrastructure Team
Location : Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)

How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.

What will you do?
Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
Lead mechanical design reviews and contribute to cross-functional design validation efforts.
Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
Conduct root cause analysis and corrective actions for mechanical failures or field issues.
Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
May perform other duties and responsibilities as assigned

How will you get here? 
Education :
~ Bachelor’s Degree in Mechanical Engineering or related engineering discipline.

Experience :
~8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
~ Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
~ Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
~ Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
~ Excellent communication and cross-functional collaboration skills

Knowledge, Skills, Abilities:
Excellent interpersonal and communication skills
Creative, self-motivated, accountable, and team-oriented
Able to work independently with minimal oversight
Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
Skilled in writing reports, business correspondence, and procedural guides
Effective at presenting information and responding to management, clients, and public queries
Capable of influencing others and sharing best practices
Comfortable working as part of a global team
Capable of assessing projects, articulating risks, and developing project milestones
Familiar with stage-gate processes in project lifecycle management (PLCM)
Able to mentor less experienced engineers
Ability to travel both domestically and internationally up to 30%

Preferred Qualifications:  
Master’s Degree in Mechanical Engineering
Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
Active Professional Engineer (PE) license.
Knowledge of regulatory and safety standards applicable to data center infrastructure.
Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
permanent
REO Resiliency Engineering and Quality Leader (Hybrid)
✦ New
Salary not disclosed

*At Securian Financial the internal position title is Infrastructure Dir."

Mission

"To lead the engineering discipline that ensures Securian's technology platforms and cloud services are built and operated with uncompromising resilience, performance, and quality. This role drives the design and automation of fault-tolerant, high-availability architectures across AWS, Azure, and GCP-ensuring the enterprise meets resiliency, scalability, and efficiency expectations at every layer of technology."

Positioning

The Director of Resilience Engineering and Quality Leader is both a strategic peer and technical counterpart to the Infrastructure & Reliability Engineering Leader.

This role provides bench depth and succession coverage for REO's most technically complex domains while driving innovation in reliability, resilience, and performance practices.

  • Strategic influence: Shapes cloud reliability, quality engineering, and resilience strategy across REO and Architecture domains.

  • Operational authority: Leads Sr. Managers and Managers who own the execution of quality, resilience, and performance engineering capabilities.

  • Enterprise collaboration: Works hand-in-hand with Technology, Solution, Business, Data, and Enterprise Architects to embed reliability and resilience as core architecture principles.

Scope of Accountability

Resilience Engineering & Cloud Reliability

  • Architect and validate fault-tolerant, regionally resilient architectures across AWS, Azure, and GCP.

  • Own resilience automation, chaos testing, and IaC-based recovery validation.

  • Lead cross-cloud reliability design reviews and failure-mode analyses for critical systems.

Quality Engineering & Continuous Testing

  • Define enterprise-wide quality engineering strategy integrated into CI/CD pipelines.

  • Drive automation-first testing (functional, non-functional, performance, resilience).

  • Embed observability-driven quality validation and contract testing across services.

Performance, Capacity & Efficiency Engineering

  • Oversee predictive capacity planning, scaling automation, and cost/efficiency optimization (FinOps/GreenOps).

  • Partner with Platform & Infrastructure teams to tune performance across application and platform layers.

  • Measure and report on performance SLIs/SLAs aligned to REO's Reliability Metrics framework.

Cross-Domain Architecture Collaboration

  • Partner with Enterprise Architects to codify resilience and reliability standards in technology blueprints.

  • Collaborate with Technology & Solution Architects to design service reliability into delivery architectures.

  • Engage Data Architects for data resilience, replication, and pipeline reliability.

  • Work with Business Architects to align technical reliability goals with critical business outcomes.

Leadership & Talent Development

  • Lead a team of Sr. Managers and Managers, fostering a high-performance, hands-on engineering culture.

  • Build and mentor top-tier technical talent in cloud reliability, resilience, and quality automation.

  • Partner with HR and REO Enablement to develop succession plans and technical competency frameworks.

Core Technical Competencies

  • AWS (primary) - Multi-account design, HA architecture, region failover, resilience automation, Terraform/CDK/CloudFormation.

  • Azure & GCP (secondary) - Compute, networking, and reliability constructs; hybrid cloud design and failover integration.

  • Infrastructure as Code (IaC) - Deep proficiency in Terraform, policy-as-code (OPA/Conftest), drift detection, pipeline integration.

  • Reliability & Chaos Engineering - AWS Fault Injection Simulator, Gremlin, steady-state hypothesis design.

  • Observability & Quality Automation - OpenTelemetry, Prometheus, CloudWatch, K6, Gatling; CI/CD quality gates and dashboards.

  • Performance Engineering - Load, stress, and soak testing automation; performance profiling and SLO alignment.

  • Disaster Recovery Automation - Cross-region orchestration, IaC-driven DR runs, replication validation.

  • FinOps/GreenOps - Cloud cost and efficiency automation, carbon-aware scaling policies.

Leadership Competencies

  • Strategic Technical Leadership: Operates at the intersection of deep engineering and executive strategy.

  • Multi-Domain Collaborator: Integrates reliability and resilience across architecture, operations, and business domains.

  • Talent Multiplier: Develops and empowers senior managers, fostering engineering mastery and innovation.

  • Credible Technical Authority: Trusted peer to Infrastructure & Reliability Engineering; capable of leading architecture reviews and executive briefings.

  • Change Champion: Drives transformation of reliability practices across platforms, pipelines, and teams.

Qualifications & Experience

  • 12+ years in cloud engineering, reliability, or platform leadership roles.

  • 5+ years leading Sr. Managers/Managers in technical domains.

  • Proven expertise across AWS, with working knowledge of Azure and GCP.

  • Experience with multi-cloud governance, DR design, IaC at scale, and reliability automation.

  • Strong understanding of observability, SRE principles, and REO/ITIL-aligned reliability frameworks.

  • Certifications:

    • Required: AWS Certified Solutions Architect - Professional

    • Preferred: AWS DevOps Engineer, Azure Solutions Architect Expert, Google Professional Cloud Architect

Success Metrics

  • 99.9% availability maintained for Tier-1 workloads.

  • 100% coverage of DR automation for Tier-1 services.

  • 25% annual increase in automated quality/test coverage.

  • 15% annual improvement in resource efficiency and cost performance.

  • Documented resilience participation across all enterprise architecture blueprints.

  • Positive "technical peer readiness" and succession rating from Head of REO.

Summary Value Proposition

This Director role blends deep AWS reliability engineering expertise, multi-cloud technical breadth, and leadership scale.

It ensures REO maintains both technical depth and leadership redundancy, and it strengthens the bridge between engineering execution and enterprise architecture alignment.

#LI-hybrid **This position will be in a hybrid working arrangement.**


Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

$145,000.00 - $267,000.00

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

  • We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

  • Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

  • Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

  • Mental Wellness and Disability

  • Pride at Securian Financial

  • Securian Young Professionals Network

  • Securian Multicultural Network

  • Securian Women and Allies Network

  • Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here


Remote working/work at home options are available for this role.
Not Specified
Principal Mechanical Integration Engineer – DCI Pipes, Frames and Structures (REMOTE) - Collaborative Remote Work Environment (WASHINGTON)
🏢 JABIL CIRCUIT, INC
Salary not disclosed
Job Title: Principal Mechanical Design Engineer

Job Family: Mechanical Design Engineering

Organization: Data Center Infrastructure Team

Location: Remote* OR Austin, TX

*Requires up to 30% domestic and/or international travel (rare)

How will you make an impact?

We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.

What will you do?

- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.

- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.

- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.

- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).

- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.

- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.

- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.

- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.

- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.

- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts

- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability

- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.

- Lead mechanical design reviews and contribute to cross-functional design validation efforts.

- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).

- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.

- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.

- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.

- Conduct root cause analysis and corrective actions for mechanical failures or field issues.

- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).

- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)

- May perform other duties and responsibilities as assigned

How will you get here?

Education:

- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.

Experience:

- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.

- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).

- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must

- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required

- Excellent communication and cross-functional collaboration skills

Knowledge, Skills, Abilities:

- Excellent interpersonal and communication skills

- Creative, self-motivated, accountable, and team-oriented

- Able to work independently with minimal oversight

- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations

- Skilled in writing reports, business correspondence, and procedural guides

- Effective at presenting information and responding to management, clients, and public queries

- Capable of influencing others and sharing best practices

- Comfortable working as part of a global team

- Capable of assessing projects, articulating risks, and developing project milestones

- Familiar with stage-gate processes in project lifecycle management (PLCM)

- Able to mentor less experienced engineers

- Ability to travel both domestically and internationally up to 30%

Preferred Qualifications: 

- Master’s Degree in Mechanical Engineering

- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.

- Active Professional Engineer (PE) license.

- Knowledge of regulatory and safety standards applicable to data center infrastructure.

- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
temporary
Lead Structural System Designer – Remote (Pipes and Frames) (WASHINGTON)
🏢 JABIL CIRCUIT, INC
Salary not disclosed
WASHINGTON, District of Columbia, Remote 4 days ago
Job Title: Principal Mechanical Design Engineer

Job Family: Mechanical Design Engineering

Organization: Data Center Infrastructure Team

Location: Remote* OR Austin, TX

*Requires up to 20% domestic and/or international travel (rare)

How will you make an impact?

We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.

What will you do?

- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.

- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.

- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.

- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).

- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.

- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.

- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.

- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.

- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.

- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts

- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability

- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.

- Lead mechanical design reviews and contribute to cross-functional design validation efforts.

- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).

- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.

- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.

- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.

- Conduct root cause analysis and corrective actions for mechanical failures or field issues.

- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).

- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)

- May perform other duties and responsibilities as assigned

How will you get here?

Education:

- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.

Experience:

- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.

- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).

- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must

- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required

- Excellent communication and cross-functional collaboration skills

Knowledge, Skills, Abilities:

- Excellent interpersonal and communication skills

- Creative, self-motivated, accountable, and team-oriented

- Able to work independently with minimal oversight

- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations

- Skilled in writing reports, business correspondence, and procedural guides

- Effective at presenting information and responding to management, clients, and public queries

- Capable of influencing others and sharing best practices

- Comfortable working as part of a global team

- Capable of assessing projects, articulating risks, and developing project milestones

- Familiar with stage-gate processes in project lifecycle management (PLCM)

- Able to mentor less experienced engineers

- Ability to travel both domestically and internationally up to 30%

Preferred Qualifications: 

- Master’s Degree in Mechanical Engineering

- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.

- Active Professional Engineer (PE) license.

- Knowledge of regulatory and safety standards applicable to data center infrastructure.

- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
temporary
Telecom & Contact Center Engineering Sr. Analyst (Hybrid)
🏢 Securian
Salary not disclosed
Saint Paul, MN, Hybrid 3 days ago

*At Securian Financial the internal position title isEngineering Senior Analyst or Engineering Consultant. The title and salary will be determined based on experience and applied skills.*

Position Summary:

Are you a hands-on engineer who enjoys designing, building, and supporting modern communication platforms? Do you like solving complex problems and working with teams that move quickly from idea to delivery? This role offers the opportunity to make an immediate impact.

As a member of the Telephony and Contact Center Technologies team, you will design, engineer, implement, and support Securian's enterprise telephony and contact center platforms. This role is focused on delivering secure, scalable, cloud-first communication solutions using RingCentral, NiCE CXone, and Cyara.

You will work closely with Contact Center Operations, Agile delivery teams, and technology partners to continuously improve customer and associate experiences across the enterprise.

Responsibilities include but not limited to:

  • Design, engineer, implement, and support enterprise UCaaS and CCaaS platforms

  • Provide daily operational support for cloud-based telephony, unified communications, SIP services, and IVR solutions

Qualifications:

  • Hands-on experience engineering and supporting cloud-based telephony or contact center platforms

  • Strong understanding of VoIP technologies, SIP, and call routing concepts

  • RingCentral and RingCentral Contact Center engineering

  • NiCE inContact / CXone administration and development

  • Cyara or similar modern telephony orchestration platforms

  • Experience designing and supporting UCaaS and CCaaS (including IVRs and contact center workflows) solutions in large enterprise environments

  • Solid knowledge of networking concepts related to real-time communications

Preferred Qualifications:

  • Supporting remote contact center agents

  • REST API integrations and automation

  • Scripting using PowerShell or Python

  • Workforce management, call recording, or speech technologies

  • PSTN carrier and phone number lifecycle management

This role plays a critical part in modernizing Securian's communication platforms and ensuring reliable, scalable experiences for customers and associates. You will have the opportunity to influence technical direction and deliver compelling solutions that matter.

#LI-Hybrid**This position willhave a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. Ifyou'reina commutable distance (90 minutes)you'lljoin us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

$72,000.00 - $134,000.00

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

  • We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

  • Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

  • Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

  • Mental Wellness and Disability

  • Pride at Securian Financial

  • Securian Young Professionals Network

  • Securian Multicultural Network

  • Securian Women and Allies Network

  • Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here


Remote working/work at home options are available for this role.
Not Specified
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