Stonebrooke Engineering Jobs in Usa

With a passion for life

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers.

Are you looking for an inspiring career? You just found it.

Job Responsibilities and Essential Duties

• 
  
• Lead and govern design-related CAPA activities across the R&D organization, ensuring timely, compliant, and effective resolution of complex design, verification, validation, and product performance issues.
  
• Oversee and review root cause investigations using rigorous, data-driven problem-solving methodologies, and ensure corrective and preventive actions are appropriately scoped, risk-based, sustainable, and effectively linked to design controls, risk management, and product lifecycle processes.
  
• Ensure CAPA records and documentation are complete, accurate, and audit-ready, in compliance with FDA regulations, ISO 13485, and internal quality system requirements.
  
• Manage and develop the R&D CAPA team, including setting expectations, prioritizing
  
• workload, providing technical direction, and coaching CAPA specialists and engineers.
  
• Provide technical guidance, coaching, and mentorship to R&D engineers and CAPA owners on CAPA processes, best practices, timeline development, SOP adherence, and effectiveness verification planning.
  
• Serve as the primary R&D CAPA interface with Quality, Regulatory Affairs, Operations, and other cross-functional partners to address systemic and cross-product issues.
  
• Review and approve CAPA plans, timelines, effectiveness verification strategies, and closure rationales to ensure regulatory robustness and high-quality outcomes.
  
• Support internal and external audits, inspections, and assessments by providing CAPA documentation (e.g., CAPA storyboards), investigation rationale, and subject matter expertise.
  
• Act as a CAPA subject matter expert within the R&D organization, driving continuous improvement in CAPA execution quality and consistency.
  

Minimum Requirements

• 
  
• Bachelor's degree in Engineering or related technical field; advanced degree preferred.
  
• 6+ years of experience in R&D within a medical device organization with at least 5 years of CAPA processes and regulatory compliance requirements (FDA, ISO 13485).
  
• 2+ years of leadership experience managing engineering teams.
  
• Proven experience in managing CAPA for design and development activities
  

Required Knowledge, Skills and Abilities

• 
  
• Expert-level understanding of CAPA methodologies, root cause analysis tools (Fishbone, 5 Whys, FMEA), and risk management.
  
• Strong leadership and team management skills with ability to influence and drive accountability.
  
• Excellent analytical and problem-solving abilities with attention to detail.
  
• Effective communication and presentation skills for all organizational levels.
  
• Experience with drafting statistically sound sampling plans & acceptance criteria for measuring Effectiveness of implemented actions.
  
• Proficiency in documentation and electronic CAPA systems, Trackwise preferred.
  
• Deep knowledge of medical device regulations and design control requirements.
  

Salary range: $145k - $175k

#LI-LG1

About us

With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.

Benefits at Getinge:

At Getinge, we offer a comprehensive benefits package, which includes:

• 
  
• Health, Dental, and Vision insurance benefits
  
• 401k plan with company match
  
• Paid Time Off
  
• Wellness initiative & Health Assistance Resources
  
• Life Insurance
  
• Short and Long Term Disability Benefits
  
• Health and Dependent Care Flexible Spending Accounts
  
• Commuter Benefits
  
• Parental and Caregiver Leave
  
• Tuition Reimbursement
  

Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law.Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

Perform general maintenance functions to ensure guest service and sustainability standards are achieved and maintained throughout the hotel structure.

Potential Career Path

Chief Engineer Area Chief Engineer Regional Director of Engineering

Essential Job Functions

Assist Chief Engineer in interviewing, selecting, training, scheduling, coaching and supporting associates, ensuring they perform in accordance with established brand or hotel standards and consistent with HHM core values.

Conduct room inspections and identify repair needs.

Manage and coordinate bids, quotes and contracts for third party vendors.

Oversee small projects, or PIPS, and manage and report on the work progress.

Install or repair sheet rock and other wall coverings.

Paint designated areas and items.

Install and replace basic electrical fixtures.

Install, replace, and program televisions.

Perform minor plumbing functions.

Replace and repair heating and cooling pumps as well as preventative maintenance on units.

Troubleshoot and repair kitchen equipment.

Perform preventative maintenance on a scheduled basis and complete work orders as necessary; keep accurate records of PM's on all rooms and equipment.

Maintain the building exterior and \"curb appeal\" of entire hotel grounds.

Refurbish, paint and finish furniture and fixtures as needed.

Test, examine, and maintain hotel's life safety systems to ensure they are 100% operational at all times.

Maintain repair and preventive maintenance records and coordinate compliance of service contracts.

Perform and maintain work to local, state and Federal codes.

Be aware of guest satisfaction scores and work toward increasing departmental and overall guest satisfaction.

Follow sustainability guidelines and practices related to HHM's EarthView program.

Practice safe work habits, wear protective safety equipment and follow MSDS and OSHA standards.

Perform other duties as requested by management.

Position Requirements

High School diploma and/or trade school course work in related field preferred.

Previous engineer/maintenance experience required or equivalent training.

Local or state certifications may be required.

Work Environment and Context

Work schedule varies and may include working on holidays and weekends or alternate shifts.

Requires standing for extended periods, walking, pushing, lifting up to 50 pounds, bending and reaching, climbing, stooping, kneeling or crouching.

What We Believe

People Are Our Capability Hearts That Serve Only Excellence Stay Nimble - Own It.

Source: HHM Hotels

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Specialist, System Safety Engineer

Job ID: 33625

Job Location: Waco, Texas; On-site

Job Schedule: 9/80, off every other Friday

Job Description:

Systems Safety Engineers assure that systems provide acceptable levels of

safety and that critical systems perform as needed even when components fail. Engineer will identify and manage risk in order to eliminate or reduce it to acceptable levels. Risk is the combination of the probability of a failure event and the severity resulting from the failure.

Essential Functions:

• Must possess the ability to establish and execute a MIL-STD-882 safety program that concludes with a comprehensive safety assessment.
• Must possess the ability to understand the concepts of preliminary and system hazard analysis, hazard logs, fault tree analyses, environmental assessment and management, risk assessments and mitigation and occupational health hazard assessments.
• Ability to translate system requirements into functional requirements
• Ability to interpret technical drawings
• Able to work independently or in a team
• Avaialble for minimal travel when required

Qualifications:

• Bachelors degree in engineering or related technical discipline with a minimum of five (5) years relevant experience.The equivalent combination of education and directly related work experience can be considered.
• Candidate must be able to obtain/maintain a Secret clearance. Must be able to pass additional security background checks as required.

Preferred Additional Skills:

• Aircraft platform experience
• Pilot experience
• Reliability and maintainability modeling skills
• FMECA experience
• Human Factors modeling and simulation experience
• Working knowledge of PTC WindChill (Releyence)
• Working knowledge of Airworthiness Certification

#LI-TD4

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

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.

Our Commitment to Inclusion:

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.

Our Commitment to Inclusion:

Summary

The people and technology that power our Group business work in the Employee Benefit Solutions Technology (EBST) organization within Enterprise Technology. As a member of the Partner Data Exchange (PDX) team, you will help design, build, and support systems that enable how Securian exchanges critical employee and client data with internal platforms, external partners, and administrators.

PDX plays a key role in the end to end client experience by ensuring that eligibility, enrollment, and coverage data is accurate, timely, and reliable. The systems supported by this team directly influence how easily clients onboard, how effectively partners integrate, and how confidently downstream teams can serve our Employee Benefits Solutions (EBS) customers.

This role is well suited for an engineer who is eager to grow technical skills, learn complex domains, and contribute to high impact systems in a collaborative, agile environment.

Key Responsibilities

• Contribute to the development and support of systems that ingest, validate, transform, and distribute client and employee data
• Learn and apply best practices for building and consuming RESTbased APIs that support internal platforms and external partners
• Support both filebased and APIdriven data exchange solutions, with guidance from senior engineers
• Develop an understanding of how data quality, timeliness, and system behavior impact the client and administrator experience
• Assist with enhancements and defect resolution in existing systems, including batch processing and integrations
• Participate in production support activities and incident triage, using monitoring tools such as Dynatrace and Splunk
• Collaborate with product owners, analysts, and other engineers to deliver incremental improvements aligned to business priorities
• Follow established engineering standards for code quality, testing, security, and deployment

Required Qualifications

• Experience developing software using Java and familiarity with Spring Boot or similar frameworks
• Basic understanding of RESTful APIs and web services
• Exposure to batch processing, integrations, or applications that ingest and process large volumes of operational data
• Familiarity with Git/GitHub and modern development workflows
• Willingness to learn and work within a complex domain involving customer and employee data
• Ability to troubleshoot issues, ask questions, and incorporate feedback through code reviews and collaboration
• Strong written and verbal communication skills
• Demonstrates accountability, curiosity, and a desire to grow technical skills

Preferred Qualifications

• Exposure to relational databases such as SQL Server
• Familiarity with cloud platforms (AWS preferred)
• Familiarity with containerized environments (Kubernetes preferred)
• Interest in learning about API design, data validation, and secure data exchange
• Experience using IntelliJ or similar IDEs
• Exposure to Agile/Scrum development practices
• Experience supporting or maintaining production systems

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:

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

In our 'always on' world, we believe it's essential to have a genuine connection with the work you do

Aurora Networks is the world's leading provider of access network solutions. Our comprehensive, end-to-end product portfolio supports global service providers with innovative, leading-edge HFC, PON and broadband network products.

The Access Technology RF Design Engineering group in Aurora Networks is responsible for design and development of Hybrid-Fiber-Coax (HFC) and RF products for the support of CATV and Data services.

The group consists of hardware engineers and technicians developing RF and optical signal distribution products.

How You'll Help us connect the world:

Are you passionate about technology and hands-on problem-solving? We're looking for a detail-oriented Electronics Lab Technician who thrives in a collaborative environment and loves working with cutting-edge tools. In this role, you'll play a key part in building, testing, and troubleshooting advanced electronic systems that power our next-generation solutions.

Responsibilities:

Bring schematics and assembly drawings to life by assisting in circuit troubleshooting and repair.

Perform precision soldering and rework on Printed Circuit Boards (PCBs) and components.

Operate industry-standard test equipment, including Spectrum and Network Analyzers, Oscilloscopes, Optical Analyzers, power meters, bench power supplies, and multimeters.

Execute testing procedures and deliver clear, accurate reports.

Collaborate with engineers and teammates to solve challenges and drive innovation.

Follow established processes while contributing ideas to improve efficiency and quality.

Required Qualifications:

High School Diploma from a technical program; an Associate's degree or technical certification is a plus.

Familiarity with Microsoft Office tools (Word, Excel, PowerPoint).

Strong communication skills—both written and verbal.

Ability to adapt quickly, stay organized, and meet deadlines under pressure.

A team player with a positive attitude and a passion for learning.

#LI-RB1

#LI-CT ONSITE

Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with ,execeptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $70,600.00- $86,500.00.

The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company's Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options.

Important Candidate Notice: On January 9, 2026, CommScope finalized the sale of its Connectivity and Cable Solutions segment, which included the CommScope name and brand, to Amphenol Corporation. The remaining businesses — Access Networks Solutions (now rebranded as Aurora Networks) and RUCKUS Networks have been unified under the new parent company, renamed as Vistance Networks. The role being advertised is part of Aurora Networks.

Why Join Us?

Vistance Networks shapes the future of communications technology, pushing past what is possible. We deliver solutions that bring reliability and performance to a world always in motion. Our global team of innovators and employees are trusted advisors who listen to customers first, then deliver value.

Aurora Networks (formerly CommScope's Access Networks Solution segment) is the world's leading provider of access network solutions. Our comprehensive, end-to-end product portfolio supports global service providers with innovative, leading-edge HFC, PON and broadband network products.

If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next.....come connect to your future at Vistance Networks.

Vistance Networks is an Equal Opportunity Employer (EEO), including people with disabilities and veterans.

Project Manager

6 mo. contract to perm hire

Raleigh, NC

Required Skills & Experience

• 5–10 years Project Management experience (ideal)

• Strong technical understanding, ideally with AI / ML / GenAI exposure

• Ability to understand technical details and track progress with engineers & data scientists

• Strong stakeholder communication

• Self-driven, minimal hand-holding

• Experience running multi-team, cross-functional initiatives

Experience managing multiple projects concurrently

Nice to Have Skills & Experience

• Former developer or data scientist background before PM

• Hands-on experience with AI products, AI content pipelines, embeddings

• Experience in B2B environment

Experience in multi-year, large-scale data or ML programs

Job Description

• Manage multiple AI-related projects under the hiring manager's org

• Track progress across engineering + data science teams (~10 people)

• Manage long-term initiatives (multi-year)

• Coordinate embedding strategy project with 20–30+ cross-functional contributors

• Provide weekly updates and progress tracking

• No customer-facing work — only internal stakeholders

• Move projects forward proactively, ensure clarity, keep leadership informed

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.