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staff platform engineer

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div>
About the Role

As a Staff Engineer on the Developer Productivity team, you will spearhead the effort to build systems and automation that are the development, build, and delivery backbone of the Motive platform across SaaS, Mobile, and Embedded/IoT products. With a focus on secure and highly scalable distributed services, you will leverage technology such as Kubernetes, ArgoCD, Github Actions, Tekton/TPAC, Helm, Bash, Python and whatever the future may hold to advance an automated and easy to use and maintain ecosystem to support Golang, Ruby on Rails, and Python services (as well as Kotlin and C for our Mobile and Embedded friends!). If creating direction for and implementing top-tier development tools, automation, infrastructure, and release pipelines, while providing guidance and mentorship to fellow engineers excites you, then Motive has the perfect role for you.

What You'll Do
<ul>
<li>Help define the direction and initiatives for the team and platform.</li>
<li>Strategize and build fully automated bootstrapping and delivery pipelines.</li>
<li>Progress and evangelize self-service engineering technologies and approaches.</li>
<li>Advance the local development experience while maintaining consistency.</li>
<li>Build self-healing infrastructure that enables fast, robust automated testing.</li>
<li>Improve the performance and reliability of existing systems.</li>
<li>Host Brown Bag sessions, demos, and more to drive adoption and collaboration.</li>
<li>Coach and mentor team engineers and collaborate on designs.</li>
</ul>
What We're Looking For

We are looking for someone with advanced knowledge and experience in creating and improving systems that will help the engineering org to function more efficiently. This individual will have prior experience in some or all of the following:
<ul>
<li>6+ years engineering experience</li>
<li>B.S. Degree in Engineering or related field</li>
<li>Building CI/CD infrastructure with multiple pipeline solutions over the years ( such as Tekton, Prow, CircleCI, Jenkins, Spinnaker, Github Actions, etc.)</li>
<li>Improving the SDLC release process.</li>
<li>Streamlining microservice creation mechanisms.</li>
<li>Streamlining developer's local environments (Ansible, local kubernetes, etc.)</li>
<li>Git flow and versioning strategy expertise.</li>
<li>Working with mechanisms that facilitate reproducible builds across the org.</li>
<li>Practicing and advocating for best engineering practices throughout the org.</li>
<li>Experience improving the developer experience with multiple stakeholders in a large organization.</li>
<li>Experience in Golang, Ruby on Rails, Python or similar languages.</li>
<li>Working knowledge of AWS services and technologies.</li>
<li>Experience with infrastructure as code and configuration management (Terraform, Ansible, Helm, etc.)</li>
<li>Experience with large scale distributed release management processes.</li>
<li>Experience in a containerized world with orchestration frameworks such as Kubernetes.</li>
</ul>
Bonus Skills to have
<ul>
<li>Experience with Gerrit and Android OS (AOSP) build systems</li>
<li>Experience with embedded systems builds and compiles</li>
</ul>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.<div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Staff Platform Engineer

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>
About the Role

As a Staff Engineer on the Developer Productivity team, you will spearhead the effort to build systems and automation that are the development, build, and delivery backbone of the Motive platform across SaaS, Mobile, and Embedded/IoT products. With a focus on secure and highly scalable distributed services, you will leverage technology such as Kubernetes, ArgoCD, Github Actions, Tekton/TPAC, Helm, Bash, Python and whatever the future may hold to advance an automated and easy to use and maintain ecosystem to support Golang, Ruby on Rails, and Python services (as well as Kotlin and C for our Mobile and Embedded friends!). If creating direction for and implementing top-tier development tools, automation, infrastructure, and release pipelines, while providing guidance and mentorship to fellow engineers excites you, then Motive has the perfect role for you.

What You&rsquo;ll Do
<ul>
<li>Help define the direction and initiatives for the team and platform.</li>
<li>Strategize and build fully automated bootstrapping and delivery pipelines.</li>
<li>Progress and evangelize self-service engineering technologies and approaches.</li>
<li>Advance the local development experience while maintaining consistency.</li>
<li>Build self-healing infrastructure that enables fast, robust automated testing.</li>
<li>Improve the performance and reliability of existing systems.</li>
<li>Host Brown Bag sessions, demos, and more to drive adoption and collaboration.</li>
<li>Coach and mentor team engineers and collaborate on designs.</li>
</ul>
What We&rsquo;re Looking For

We are looking for someone with advanced knowledge and experience in creating and improving systems that will help the engineering org to function more efficiently. This individual will have prior experience in some or all of the following:
<ul>
<li>6+ years engineering experience</li>
<li>B.S. Degree in Engineering or related field</li>
<li>Building CI/CD infrastructure with multiple pipeline solutions over the years ( such as Tekton, Prow, CircleCI, Jenkins, Spinnaker, Github Actions, etc.)</li>
<li>Improving the SDLC release process.</li>
<li>Streamlining microservice creation mechanisms.</li>
<li>Streamlining developer's local environments (Ansible, local kubernetes, etc.)</li>
<li>Git flow and versioning strategy expertise.</li>
<li>Working with mechanisms that facilitate reproducible builds across the org.</li>
<li>Practicing and advocating for best engineering practices throughout the org.</li>
<li>Experience improving the developer experience with multiple stakeholders in a large organization.</li>
<li>Experience in Golang, Ruby on Rails, Python or similar languages.</li>
<li>Working knowledge of AWS services and technologies.</li>
<li>Experience with infrastructure as code and configuration management (Terraform, Ansible, Helm, etc.)</li>
<li>Experience with large scale distributed release management processes.</li>
<li>Experience in a containerized world with orchestration frameworks such as Kubernetes.</li>
</ul>
Bonus Skills to have
<ul>
<li>Experience with Gerrit and Android OS (AOSP) build systems</li>
<li>Experience with embedded systems builds and compiles</li>
</ul>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.</div><div><div><div><div>
Pay Transparency 
Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks &amp; Benefits. 
 
The compensation range for this position will depend on where you reside. For this role, the compensation range is:</div></div>
United States
$181,000 - $226,000 USD</div></div><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Staff Platform Engineer New

Shannon & Wilson Inc.

<div>Description:

Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.
Job Summary:
We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.
Responsibilities:
 Platform Operations &amp; Maintenance<ul><li>Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.</li><li>Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.</li><li>Implement monitoring, alerting, and cost optimization strategies for the platform.</li></ul>
 Data Engineering &amp; Integration<ul><li>Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.</li><li>Design and maintain clean, curated data models to support reporting and analytics needs.</li><li>Collaborate with business analysts to ensure data structures meet business requirements.</li></ul>
 Governance &amp; Security<ul><li>Apply data governance standards for naming conventions, schema design, and access control.</li><li>Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.</li></ul>
 Continuous Improvement<ul><li>Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).</li><li>Recommend new features, automation, or process improvements to enhance reliability and usability.</li><li>Partner with stakeholders to identify and implement new use cases for analytics and reporting.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).</li><li>
Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).</li><li>
Strong SQL development skills and experience with data modeling (star/snowflake schema) required.</li><li>
Hands-on experience with ETL/ELT pipelines and automation scheduling required.</li><li>
Familiarity with cloud-based data security and access control practices.</li><li>
Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.</li><li>
Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.</li><li>
Python or Spark experience for data transformation preferred.</li><li>
Knowledge of DevOps/Git-based version control for data pipelines preferred.</li><li>
Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.</li><li>
Excellent troubleshooting and problem-solving skills.</li><li>
Continuous improvement mindset with willingness to learn and adopt new technologies.</li><li>
Clear communication skills (both technical and business-oriented).</li></ul>
Level Placement:
Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.
Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
<ul><li>Employee stock ownership
</li><li>Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
</li><li>Pre-tax health and daycare FSA
</li><li>Profit sharing and 401(k) plans with annual safe-harbor contributions
</li><li>10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)</li><li>
Sick leave accrues based on state requirements</li><li>
9 paid holidays per year + 1 personal holiday
</li><li>Paid volunteer day
</li><li>Paid time off for bereavement and jury duty
</li><li>Two weeks of paid parental leave
</li><li>Lunch &amp; Live wellness webinars and an Employee Assistance Program</li><li>
Mentorship Program</li><li>
Tuition Reimbursement</li><li>
Free parking
</li></ul>Shannon &amp; Wilson is an Equal Opportunity Employer
Shannon &amp; Wilson participates in the E-Verify program.
Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.</div>

Data Engineer

Palo Alto Networks

<div><div>Seattle, Washington, United States Product Engineering Ref ID: JR-015057</div><div> 
</div><div>Our Mission
At Palo Alto Networks&reg;, we&rsquo;re united by a shared mission&mdash;to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you&rsquo;re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you&rsquo;re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That&rsquo;s why most of our teams work from the office full time, with flexibility when it&rsquo;s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
Your Career
With Prisma AIRS, Palo Alto Networks is building the world's most comprehensive AI security platform. Organizations are increasingly building complex ecosystems of AI models, applications, and agents, creating dynamic new attack surfaces with risks that traditional security approaches cannot address. In response, Prisma AIRS delivers model security, posture management, AI red teaming, and runtime protection. Our customers can confidently deploy AI-driven innovation while ensuring a formidable security posture from development through runtime.
The Platform Infrastructure team is the engine behind this mission. We provide the foundational cloud infrastructure and a smooth interface that abstracts away the complexities of global networking and infosec for our product teams. We are seeking a Principal Infrastructure / Security Engineer to own the intersection of platform infrastructure and product security.
In this hybrid role, you will lead the &quot;shift-left&quot; security strategy, building internal platform tools that allow our engineers to ship secure-by-default software. You will be the primary technical interface between the AIRS organization and central infosec.
This role is in office 3 days a week. Specify your preference of our downtown Seattle Washington office or our Santa Clara, California HQ campus.
Our Stack
Our platform is built on a modern, cloud-native foundation centered around Kubernetes. We value deep expertise in a few core areas and a strong desire to master the technologies that drive our platform forward.<h3 class="jobSectionHeader">
Cloud &amp; Orchestration</h3><ul><li>
GCP (primary), Kubernetes, AWS, Containerization tools</li></ul><h3 class="jobSectionHeader">
CI/CD &amp; GitOps</h3><ul><li>
GitLab CI, Argo CD, Argo Rollouts, Github actions</li></ul><h3 class="jobSectionHeader">
Infrastructure as Code (IaC)</h3><ul><li>
Kubernetes Config Connector (KCC), Helm, Terraform</li></ul><h3 class="jobSectionHeader">
Languages &amp; Core Tooling</h3><ul><li>
Python (modern, typed), Go (highly desired), BASH, rego</li><li>
We actively leverage AI Coding Assistants like Claude to boost our productivity.</li></ul> 
Your Impact
As a Principal Engineer, you will be a technical leader whose influence defines how we secure and ship software at scale.
<ul><li>Build the &quot;Security Paved Road&quot;:Act as a force multiplier by integrating security tooling directly into our internal developer platform and CI/CD pipelines.</li><li>
Abstract Infosec Complexity:Serve as the strategic point of contact for central Infosec, translating their requirements into automated infrastructure patterns so product teams don't have to.</li><li>
Govern Release Integrity:Define and enforce security standards for Prisma AIRS, ensuring every new feature meets launch requirements and compliance standards before reaching customers.</li><li>
Scale Foundational Infra:Work with the infrastructure team to embed security and permissions management into our core GCP and Kubernetes foundations.</li></ul>
Qualifications
What you bring to the team
We are looking for a seasoned engineer who thrives on solving complex problems from first principles and has a passion for building systems that empower others.
Required qualifications<ul><li>
Engineering Fundamentals:A deep command of cloud infrastructure, networking, and application performance.</li><li>
Security Expertise: Extensive experience in vulnerability management, identity management (IAM), and integrating security tools into modern engineering workflows.</li><li>
Cloud &amp; Orchestration: Proficient with GCP and Kubernetes. While you don't need to be a K8s internals expert, you must be comfortable deploying and securing workloads in containerized environments.</li><li>
Infrastructure as Code: Hands-on experience with Terraform, Helm, or Kubernetes Config Connector (KCC).</li><li>
Coding Proficiency:Fluent in building automation and platform tooling using modern, typed Python. Experience with Go is a significant plus.</li><li>
Leadership &amp; Collaboration:Capable of working with multiple stakeholders, navigating large organizations, and acting as a central point of collaboration and execution.</li><li>
An Innate Sense of Ownership and a Collaborative Spirit: You are a highly technical, self-motivated contributor who sees projects through from idea to production.
</li></ul>Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$126,000.00 - $203,500.00/yr
Our Commitment
We&rsquo;re trailblazers that dream big, take risks, and challenge cybersecurity&rsquo;s status quo. It&rsquo;s simple: we can&rsquo;t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes</div></div>

Sr Staff DevOps Engineer (Prisma AIRS Platform Infrastructure Security)

Apple

<div>People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. 
 
The Analytics Platforms &amp; Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more. 
 
The APX Bedrock team is the foundational platform layer within APX, responsible for building the systems and services that underpin data engineering excellence across the organization. We are seeking a Senior Software Data Engineer who brings deep technical expertise and the strategic thinking to shape the future of our data engineering platform. In this role, you will influence the broader technical vision, drive platform-wide architectural decisions, and establish patterns that raise the engineering bar across the organization. You will bridge hands-on engineering excellence with forward-looking platform thinking, working alongside architects and cross-functional teams to transform how data engineers work at Apple. 
 
Description 
 
As a Senior Software Data Engineer on the APX Bedrock team, you will be a highly impactful technical contributor who combines deep engineering craftsmanship with platform-wide thinking. You will own critical platform components end-to-end while actively shaping the technical direction of the team and influencing the broader organization. 
 
<ul><li>Lead design and implementation of core platform services supporting data application authoring, metadata management, dataset lifecycle tracking, and orchestration at scale</li></ul> 
<ul><li>Architect and build high-performance Java-based backend services and APIs that form the backbone of the data engineering platform</li></ul> 
<ul><li>Own data modeling and database design decisions, establishing best practices for schema design, indexing strategies, and query optimization across relational and non-relational data stores</li></ul> 
<ul><li>Design and operate scalable data processing pipelines using Apache Spark, Apache Flink, and modern orchestration frameworks</li></ul> 
<ul><li>Proactively identify architectural gaps and drive initiatives that improve platform scalability, reliability, and developer experience</li></ul> 
<ul><li>Define engineering standards and patterns adopted across the broader team and organization</li></ul> 
<ul><li>Evaluate emerging technologies and contribute to strategic decisions that shape the platform roadmap</li></ul> 
<ul><li>Mentor engineers across experience levels and drive a culture of technical excellence</li></ul> 
<ul><li>Leverage AI-powered development tools and help define how AI-augmented workflows are adopted and scaled within the team</li></ul> 

Preferred Qualifications 
 
<ul><li>Experience with non-relational or NoSQL databases and strong intuition for applying the right data storage paradigms</li></ul> 
<ul><li>Proficiency in Scala, Go, or Python as complementary programming languages</li></ul> 
<ul><li>Deep experience with container orchestration tools such as Kubernetes and cloud-native infrastructure patterns</li></ul> 
Hands-on experience with AI-powered development tools (e.g., Claude Code, Copilot) and building AI-augmented engineering workflows 
 
Experience architecting data quality monitoring, metadata management, or dataset lifecycle management systems at scale 
 
Strong background in streaming, real-time data processing, and event-driven architectures 
 
Track record of mentoring senior engineers and driving technical excellence across teams 
 
Strong communication skills with the ability to present complex technical strategies to senior leadership 
 
Minimum Qualifications 
 
Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent professional experience 
 
8+ years of software engineering experience with significant focus on data platform or large-scale distributed systems 
 
Expert-level Java programming with a strong track record of architecting and delivering complex, production-grade backend services 
 
Deep experience with relational databases including advanced data modeling, schema design, and query optimization at scale 
 
Expert-level experience with Apache Spark and Apache Flink, and distributed data technologies including Hadoop, HDFS, and Kafka 
 
Extensive experience designing and operating workflow orchestration systems such as Apache Airflow at enterprise scale 
 
Proven ability to drive end-to-end technical ownership of complex platform initiatives and influence technical direction beyond immediate team scope 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Senior Software Data Engineer

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. 
 
The Experimentation Platform team is looking for a Data Engineer to power the analytics backbone of one of Apple's most impactful internal platforms. Our A/B experimentation platform serves teams across Apple, enabling them to make rigorous, data-driven decisions at scale. As part of the analytics team, you will sit at the intersection of data engineering, statistical insight, and product impact - building the pipelines and tools that help Apple teams run better experiments and ship better features and next-generation GenAI products. 
 
Description 
 
As a Data Engineer on the Experimentation Platform team, you will take end-to-end ownership of the data infrastructure that drives experimentation across Apple. From architecting robust pipelines and data models to delivering dashboards and data-driven features, your work will directly shape how Apple teams measure, iterate, and innovate. 
 
This role blends autonomous, heads-down engineering with meaningful cross-functional collaboration. You will partner closely with teams across Apple - gathering requirements, supporting experiment execution, and signing off on delivered solutions together. We are looking for someone who treats data as a product: someone who is as thoughtful about the teams consuming their work as the systems producing it.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable data pipelines to support A/B experimentation workflows across Apple teams. 
 
Architect and manage data models and database schemas that enable complex analytical queries and statistical reporting. 
 
Develop data-driven features and statistical insights that enhance the capabilities of the experimentation platform. 
 
Build and maintain dashboards and data visualizations to surface experimentation metrics and operational health. 
 
Engage directly with internal customers to gather requirements, support experiment execution, and validate delivered solutions. 
 
Ensure data quality, reliability, and observability across all analytics pipelines and platform systems. 
 
Contribute to a collaborative team environment, balancing independent project ownership with close partnership across the analytics and platform teams. 
 
Preferred Qualifications 
 
Experience with A/B testing methodologies, statistical analysis, or experimentation platforms. 
 
Working knowledge of Trino, Iceberg. 
 
Experience with API server development and building RESTful services (e.g., Java with Spring Boot). 
 
Experience with streaming technologies such as Apache Kafka or Apache Flink. 
 
Minimum Qualifications 
 
Master's degree in Computer Science, Data Engineering, or a related field, or equivalent experience. 
 
4+ years of professional experience in data engineering or a closely related role. 
 
Strong proficiency in Python and advanced SQL. 
 
Solid understanding of data modeling, database schema design, and data warehousing concepts. 
 
Experience with large-scale distributed data processing and pipeline using frameworks such as Apache Spark. 
 
Experience with workflow orchestration tools such as Apache Airflow. 
 
Experience with deploying and managing CI/CD pipelines. 
 
Experience building data visualizations using tools such as Apache Superset or equivalent. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Engineer - AIML Evaluation

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Help shape new Generative AIUX products for AWS customers
 
 
Our team builds Generative AIUX products that transform the way customers design. We are focused on the future of design driven development and democratizing innovation for all builders. We deliver a shared platform across multiple products, and we work on AI-powered tools that use Design Systems to build interfaces, and accelerate design, development, and validation workflows. The two products you will be working on are Venue and project Arena. Venue is an AI powered internal prototyping tool that helps AWS builders create new features using the AWS Cloudscape Design system. Arena is an external version of the tool that helps scale this offering to all of Amazon and to external customers with a focus on 0-1 rapid prototyping.
 
 
We are seeking a talented and passionate generative/agentic Senior Machine Learning Engineer to join our team and lead the development of cutting-edge AIUX solutions. AIUX is the intersection of Artificial Intelligence and User Experience. AIUX focuses on making sure the user experience is bar raising for a human and simultaneously works well with agents. This includes designing for trust, transparency (letting users know they are interacting with AI), and providing control (allowing users to edit or undo AI actions). It enhances productivity, automates repetitive tasks, and creates more engaging, intuitive, and efficient user experiences.
 
 
The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative AI applications.
 
 
In this role, you will work closely with our product, design, and backend teams to build and enhance our generative AI platform. You will have the opportunity to influence the direction of our product and contribute to a culture of innovation and excellence.
 
 
Our team is dedicated to supporting new team members. It has a broad mix of experience levels and Amazon tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. 
 
Key job responsibilities 
<ul><li>Backend Integration (AI-Focused): Integrate with systems to manage asynchronous data flows from LLMs (Large Language Models) and other AI services.
</li><li>Optimize Performance: Ensure maximum speed and responsiveness of AI-driven interfaces, particularly when processing large datasets or real-time streaming output.
</li><li>Design and own end-to-end systems, spanning backend services, APIs, data storage, and frontend integration.
</li><li>Build and evolve GenAI-powered services that support design generation, validation, and automation workflows.
</li><li>Contribute to long-term technical vision and architecture decisions.
</li><li>Balance short-term delivery with scalable, maintainable system design.
</li><li>Work with internal teams to understand needs and translate them into robust solutions.
</li><li>Contribute to hiring, mentor junior engineers, and raise the overall engineering bar.
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience with emerging generative and agentic technologies</li><li>Experience in machine learning and data science</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations</li><li>Experience with agentic orchestration</li><li>Prior experience working with AWS applications, a plus</li><li>Experience with Bedrock, Kiro, or Claude a plus</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, East Palo Alto - 193,300.00 - 261,500.00 USD annually 
USA, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Senior Machine Learning Engineer, GenAIUX

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