Engineering Structures Jobs in Campbell Santa

P

Machine Learning Engineer, Monetization Engineering

Salary not disclosed

Palo Alto, CA 3 days 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

R

Sr. Software Engineer - Engineering Productivity (Fullstack)

🏢 Reliable Robotics

Salary not disclosed

Mountain View, CA 4 days ago

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Senior Software Engineer - Engineering Productivity at Reliable Robotics, you will design, and implement software to support the development, analysis, and certification of automated aircraft systems. You will work closely with product owners and end users to develop solutions that enable and optimize engineering development workflows. The software you produce will be critical to the development and certification of the first fully autonomous aircraft.

Responsibilities

In your role as an internal tool developer, you will develop applications, infrastructure, and tools used by engineering to capture product requirements and interface definitions, model the product architecture and design, and reduce and analyze flight and lab test data. You will supercharge the engineering organization's efficiency and effectiveness by streamlining tools and processes. You will work with other teams and stakeholders to establish technical and UX design requirements for these projects and own the "plan, code, build, test, release, deploy" lifecycle of these applications and services.

Basic Success Criteria

Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience
5+ years experience with professional full stack web development in a team setting
Professional experience with core browser technologies (JavaScript, HTML, CSS) and TypeScript
Experience structuring dynamic, model-driven data and determining data relationships
Experience working with SQL, NoSQL, and time series databases
Experience designing software architecture for both new and existing projects

Preferred Criteria

Experience using Python and libraries such as pandas, matplotlib, and django
Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker
Experience designing and implementing ingestion pipelines for high-throughput streams of real-time telemetry
Experience integrating business intelligence and data visualization tools such as Tableau, Power BI, Superset, Metabase
Experience developing React components and reusable libraries/tools for developers

At Reliable Robotics, we believe that our internal tools are key ingredients to our success. Aircraft design, integration, and certification are highly complex processes requiring diligent management of data and their relationships. Traditionally a paper process, our tools enable our system designers to move faster, conduct more thorough and comprehensive analyses, and design safer aircraft systems. Come be a part of taking our products to the next level.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $215K - $300K

Apply for this Job

Not Specified

F

Head of Engineering, Technology, Media, & Telecom

✦ New

🏢 Fractal

Salary not disclosed

Sunnyvale, CA 1 day ago

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.

Not Specified

Sr. Engineering Manager - Storage Engineering

🏢 Cloudera

Salary not disclosed

San Jose, CA 3 days ago

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.

Cloudera is looking for a strong engineering leader with a distributed systems background to lead a team within the Storage Engineering group, focused on building Apache Ozone and Apache HDFS. The Storage team is responsible for primary storage and storage access layers, which are core to the Cloudera Data Platform.

Apache Ozone is an open source, massively scalable, distributed object store with a distributed file system interface. Ozone is designed to scale to tens of billions of files and blocks, and overcome the limitations of Hadoop Distributed File System (HDFS), namely, millions of small files and managing a huge number of data nodes.

Ozone is one of the fastest-growing products inside CDP in terms of customer adoption and expansion revenue. This is an opportunity to lead a team that created and wrote most of the Ozone code and make a huge impact on the big data storage industry.

**This is an onsite role for our HQ in Santa Clara, CA**

As a Sr. Manager, Engineering you will:

Manage and lead a team of talented engineers and senior individual contributors based in North America.
Develop and execute on a technical roadmap and strategy for your team, aligning with the department's vision and the company's business goals.
Lead and mentor a team of software engineers, including senior and principal-level contributors, fostering a culture of technical excellence and innovation.
Partner with Engineering leaders, product managers, and partner teams to understand requirements, develop solid designs and implementations, and facilitate integration and adoption.
Drive and enforce best practices for the software development lifecycle, including coding standards, testing, deployment, system scalability, reliability, and security, tracking key performance indicators for engineering quality and efficiency.
Communicate team progress, successes, challenges, and strategic plans clearly and transparently to engineering leadership and other business stakeholders.
Oversee team resources, staffing, mentoring, and enhancing a best-of-class engineering team.
Work closely with customers in various geographies and partner teams (like PS and support) to ensure successful adoption of Ozone and provide technical guidance for enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines.
Guide the team in contributing to the Apache open-source community.

We are excited if you have (Required Qualifications):

Experience: 8+ years of experience in software engineering, with 2+ years in an engineering management role.
Domain Expertise: Demonstrable experience with the design, implementation, and operation of large-scale distributed systems, particularly in storage, file systems, databases, or cloud infrastructure.
Technical Depth: Strong understanding of fundamental storage concepts (e.g., consistency, replication, erasure coding, caching).
Management Skills: Proven track record of leading and managing high-performing engineering teams, demonstrating excellent communication and organizational skills.
Communication: Excellent written and verbal communication skills. If you can point to publicly available papers, technical articles or blog posts that is a huge plus.
Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.

You may also have:

Prior experience contributing to or leading large-scale open-source projects.
Familiarity with the Apache Hadoop big data ecosystem (HDFS, YARN, Hive, Impala, Spark) or related distributed data frameworks.
Experience with specific commercial or open-source distributed storage technologies (e.g., Ceph, Gluster, ZFS, S3-compatible systems).
Experience managing remote or hybrid engineers.

Why this role matters:

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.

This role is not eligible for immigrationsponsorship.

The expected base salary range for this role in

California is $203,000 - $254,000

The salary will vary depending on your job-related skills, experience and location

What you can expect from us:

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

EEO/VEVRAA

#LI-SZ1

#LI-REMOTE

Not Specified

Talent Acquisition Manager – AI Infrastructure & Engineering

✦ New

🏢 WNTD

Salary not disclosed

Sunnyvale, CA 1 day ago

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

Not Specified

V

Applied AI Engineer

✦ New

🏢 Vaco by Highspring

Salary not disclosed

Remote, Oregon 1 day ago

Applied AI Engineer

Compensation:

Up to $150,000 base salary (direct hire w2 only, no c2c, no 1099), (flexibility on base salary for exceptional experience)

Location:

Hybrid / Onsite - Greater Kansas City Metro Area
3 days per week onsite, 2 days remote
Candidates must currently reside in the KC metro area or be willing to relocate within a reasonable timeframe
Fully remote candidates cannot be considered

Work Authorization:

Must be authorized to work in the U.S.
No current or future visa sponsorship available

Engagement Type:

Full time, direct hire only
No third-party agencies, consulting firms, C2C, or 1099 arrangements

About the Opportunity

Vaco Highspring is conducting a confidential search on behalf of a global enterprise organization with a strong technology footprint, including a proprietary SaaS platform and a technology?enabled services business.

The organization is making a focused investment in artificial intelligence to improve internal efficiency, modernize workflows, and embed intelligent capabilities into its software platform. This role offers meaningful ownership and visibility, with a mandate to build and deploy AI systems that have real, production level impact.

The Role

As an Applied AI Engineer, you will play a key role in integrating AI across internal systems and a customer facing SaaS platform. You will work hands on with large language models (LLMs) and modern AI tooling to automate processes, build internal tools, and deliver intelligent product features.

This is a production focused role operating at the intersection of engineering, product, and business operations, with close collaboration across teams in a hybrid/onsite environment. (3-days per week onsite in Greater Kansas City Metro Area, 2-days remote work.)

Key Responsibilities

Design and build scalable AI powered services and tools to streamline internal workflows across multiple teams (e.g., operations, content, sales, support).
Develop and deliver intelligent features within a proprietary SaaS platform.
Integrate, manage, and optimize multiple LLMs and AI APIs (e.g., OpenAI style, Anthropic style, or comparable providers).
Provide technical leadership and mentorship to other engineers, including guidance on architecture, best practices, and performance.
Build and maintain backend systems and APIs that support AI functionality across products and services.
Design infrastructure for model serving, orchestration, monitoring, and lifecycle management.
Implement fallback strategies, model routing, and cost performance optimization.
Partner cross functionally with engineering, product, and business stakeholders to identify high impact AI opportunities.
Apply best practices related to data privacy, security, compliance, and responsible AI use.
Stay current with advancements in AI, LLMs, and MLOps, introducing new approaches where appropriate.

Qualifications

6+ years of engineering experience with multiple years of experience in a production environment deploying AI/ML applications or infrastructure.
Proven experience applying LLMs or similar AI models to real business or product challenges.
Strong backend engineering skills (Python and/or TypeScript preferred).
Experience with AI/ML orchestration and deployment tools (e.g., LangGraph style frameworks, Airflow like systems, Kubeflow, Ray, or workflow automation tools).
Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Front end development experience in areas like React, Node.js, Web Development, front end web product design
Solid understanding of MLOps practices, including deployment, monitoring, logging, and evaluation.
Knowledge of data privacy, security, and ethical AI considerations.
Experience supporting SaaS platforms or technology driven products is a plus.
Strong communication skills and the ability to collaborate across technical and non-technical teams.
Passion for applying AI in practical, high impact ways.

Why This Role

High visibility and ownership of AI initiatives
Opportunity to build AI systems that directly impact business outcomes
Emphasis on production grade systems, not experimentation alone
Collaborative, hybrid environment with close access to stakeholders

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Remote working/work at home options are available for this role.

Not Specified

Principal Security Engineer - Remote flexibility across the US (Remote)

✦ New

🏢 GoDaddy

Salary not disclosed

Remote, Oregon 1 day ago

Location Details: United States - Remote

At GoDaddy the future of work looks different for each team. Some teams work in the office full-events or offsites. This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or offsites.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join our team

Do you want to be an Information Security Leader at GoDaddy? GoDaddy's Product Security group is looking for a Principal Security Engineer to join our organization. Can you solve large scale and cross-company issues, while ensuring that partnership with the development and operational communities remains in front of mind?

GoDaddy is looking for a Principal Security Engineer to apply their hands-on technical skills, strong leadership abilities, and an eagerness to design solutions to complex problems. You must be comfortable with communicating to stakeholders, performing security assessments and prioritizing security risks, creating/presenting high-quality deliverables.

What you'll get to do...

Identify security threats in applications and infrastructure and provide remediation mentorship to system owners.
Join forces with SRE and development teams to find new and creative ways to reduce the occurrence of vulnerabilities at scale.
Build repeatable/reusable security processes and frameworks.
Review quality issues and work towards detecting security flaws both obvious and discrete.
Assist with scoping prospective projects, participating in projects from kickoff through "definition of done" via end-to-end ownership.
Use your industry experience to own and drive resolution and retest complex security events, policy questions and technical security risks.

Your experience should include...

7+ years of progressive security engineering experience across Security Architecture, Cryptography, Network, Cloud, Mobile, and Web Security.
Skilled in Secure Development Lifecycle, Security by Design, and Shift Left methodologies.
Proficient in Threat Modeling, Architecture Review, Penetration Testing, Code Review, SAST, and DAST.
Strong scripting abilities in languages such as Python, C, C++, Java, Ruby, and PowerShell.
Adept at applying security best practices for compliance, with excellent problem-solving and communication skills.

You might also have...

Bachelor's degree in computer science or related field.
Master's degree or PhD in Computer Science or related field.
Hosting industry and/or cloud Experience.
Experience in hardware security.

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to

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Remote working/work at home options are available for this role.

Not Specified

Senior Cybersecurity Engineer (Remote)

✦ New

🏢 GoDaddy

Salary not disclosed

Remote, Oregon 1 day ago

Location Details: United States - Remote

At GoDaddy the future of work looks different for each team. Some teams work in the office full-events or offsites. This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or offsites.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join our team

Do you want to be an Information Security Leader at GoDaddy? GoDaddy's Product Security group is looking for a Principal Security Engineer to join our organization. Can you solve large scale and cross-company issues, while ensuring that partnership with the development and operational communities remains in front of mind?

GoDaddy is looking for a Principal Security Engineer to apply their hands-on technical skills, strong leadership abilities, and an eagerness to design solutions to complex problems. You must be comfortable with communicating to stakeholders, performing security assessments and prioritizing security risks, creating/presenting high-quality deliverables.

What you'll get to do...

Identify security threats in applications and infrastructure and provide remediation mentorship to system owners.
Join forces with SRE and development teams to find new and creative ways to reduce the occurrence of vulnerabilities at scale.
Build repeatable/reusable security processes and frameworks.
Review quality issues and work towards detecting security flaws both obvious and discrete.
Assist with scoping prospective projects, participating in projects from kickoff through "definition of done" via end-to-end ownership.
Use your industry experience to own and drive resolution and retest complex security events, policy questions and technical security risks.

Your experience should include...

7+ years of progressive security engineering experience across Security Architecture, Cryptography, Network, Cloud, Mobile, and Web Security.
Skilled in Secure Development Lifecycle, Security by Design, and Shift Left methodologies.
Proficient in Threat Modeling, Architecture Review, Penetration Testing, Code Review, SAST, and DAST.
Strong scripting abilities in languages such as Python, C, C++, Java, Ruby, and PowerShell.
Adept at applying security best practices for compliance, with excellent problem-solving and communication skills.

You might also have...

Bachelor's degree in computer science or related field.
Master's degree or PhD in Computer Science or related field.
Hosting industry and/or cloud Experience.
Experience in hardware security.