ai / software engineering intern

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

analytics data engineer

aws data engineer

business development lead cloud ai

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>The Agentic AI Data Engineer is a hands-on role focused on building and maintaining the data pipelines and infrastructure that fuel AI agent systems. Within TCS&rsquo;s AI &amp; Data group (Americas), you will be the builder who turns data architecture plans into reality, ensuring that AI models and agents have continuous access to high-quality, timely data. This client-facing consulting role involves hybrid work from client site as needed for deployment. You&rsquo;ll work across wide array of business functions within Retail. By combining expertise in data ingestion, transformation, and integration with knowledge of AI data needs, you will play a critical part in enabling AI agents to perform reliably and accurately in production.</div><br>
<div><br>
</div><div>What You Would Be Doing:
</div><div>Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files, streaming sources) relevant to the AI solution.
</div><div>Data Transformation &amp; Processing: Implement transformation and cleaning steps on raw data to make it usable for AI, ensuring efficiency and scalability.
</div><div>Loading Data to Storage/Indices: Set up processes to load processed data into target storage systems that AI agents or models will use.
</div><div>Real-Time Data Feeds: Implement streaming or incremental update pipelines when AI systems require real-time or frequently updated data.
</div><div>Pipeline Automation &amp; Scheduling: Use orchestrators or schedulers to automate the data workflows.
</div><div>Data Integration &amp; API Development: Develop and maintain integration components for real-time data fetching.
</div><div>Collaborate on RAG/Knowledge Base Updates: Work closely with AI Data Architects on implementing RAG updates.
</div><div>Testing and Validation of Data Pipelines: Develop tests and monitoring for your data pipelines.
</div><div>Optimize Pipeline Performance: Profile and optimize data pipelines for speed and resource usage.
</div><div>Documentation and Handover: Document pipeline processes, configurations, and dependencies clearly.
</div><div>Industry-Specific Data Handling: Adapt data engineering to specific domain needs.
</div><div>Collaboration &amp; Agile Implementation: Work as part of an agile product team, collaborating with data architects, AI engineers, and others.
</div><div>Maintain and Evolve Pipelines: Monitor pipelines and handle maintenance post go-live.</div><br>
<div><br>
</div><div>What Skills Are Expected:
</div><div>Programming &amp; Scripting: Strong programming skills, especially in Python, and experience with other languages like SQL.
</div><div>Data Pipeline Development: Practical experience building data pipelines end-to-end.
</div><div>Database and SQL Skills: Proficiency in writing and optimizing SQL queries.
</div><div>Big Data &amp; Distributed Processing: Experience with big data technologies like Apache Spark.
</div><div>Streaming Data Experience: Familiarity with streaming frameworks and tools like Kafka.
</div><div>API Integration and Web Services: Ability to interact with web APIs for data ingestion or extraction.
</div><div>Data Formats and Parsing: Strong understanding of data formats and ability to parse JSON, XML, or custom text formats.
</div><div>DevOps for Data Pipelines: Basic DevOps skills, including using Git for version control and CI/CD pipelines.
</div><div>Problem Solving &amp; Debugging: Strong ability to troubleshoot data issues.
</div><div>Data Quality Focus: Attentiveness to data quality and skills in implementing checks and validating outputs.
</div><div>Collaboration &amp; Commun ication: Good communication skills to work with the team and clients.
</div><div>Time Management &amp; Flexibility: Ability to handle multiple tasks and prioritize effectively.
</div><div>Domain Data Understanding: Aptitude to learn domain context from data.
</div><div>Security &amp; Privacy Business Units: Understanding of handling sensitive data securely in pipelines.
</div><div>Continuous Learning: Willingness to learn new tools or frameworks as needed.</div><br>
<div><br>
</div><div>Key Technology Capabilities:
</div><div>ETL / Data Integration Tools: Experience with tools such as Apache Airflow, Informatica PowerCenter, or cloud-based ones like Azure Data Factory.
</div><div>Big Data Processing: Proficiency in Apache Spark and knowledge of Hadoop HDFS.
</div><div>SQL &amp; Databases: Strong practical SQL skills and familiarity with relational database systems.
</div><div>NoSQL and Other Data Stores: Knowledge of specific systems like MongoDB or Cassandra.
</div><div>Stream Processing: Hands-on usage of Apache Kafka and understanding of consumer group mechanics.
</div><div>Cloud Storage &amp; Compute: Familiarity with cloud storage services like Amazon S3 and cloud compute for ETL.
</div><div>APIs &amp; Web Services: Experience building or using connectors to RESTful APIs.
</div><div>File Formats &amp; Data Serialization: Understanding of various file formats and ability to convert between them.
</div><div>Operating Systems &amp; Scripting: Comfortable with Linux shell and basic shell scripting.
</div><div>Version Control &amp; CI/CD: Using Git for source control and setting up CI pipelines for data projects.
</div><div>Monitoring &amp; Logging Tools: Utilizing monitoring tools for data workflows.
</div><div>Data Visualization/Verification: Basics of tools like Excel or Python&rsquo;s Jupyter notebooks for data sanity checks.
</div><div>Security &amp; Networking: Understanding network configurations for data transfer.
</div><div>Testing Frameworks: Familiarity with PyTest or unittest for writing tests for data transformations.
</div><div>Collaboration Tools: Experience with tools like JIRA and documentation tools.
</div><div>AI/ML Familiarity: Bonus if you understand some AI/ML fundamentals</div><br>
<div><br>
</div><div>Salary Range: 124300-168100 a year
</div><div>#LI-MM6</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>415327</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$124,300-$168,100 a year</div></div></div></div><div></div>

Senior Engineer, AI Data Management

Weyerhaeuser

<div>
 <strong>
  About Weyerhaeuser
  <br/>
  <br/>
 </strong>
 At Weyerhaeuser, we are the world&rsquo;s premier timber, land, and forest products company. Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability &ndash; we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 125 years, our Weyerhaeuser team has been making a difference in the world &ndash; from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That&rsquo;s the Weyerhaeuser way.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Weyerhaeuser&rsquo;s Data &amp; Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on role focuses on building scalable, reliable, well-governed pipelines that move data. We invest heavily in template- and metadata-driven patterns, so onboarding a new source is a configuration exercise, not a net-new build.
 <br/>
 <br/>
 We expect engineers to use AI as a force multiplier &mdash; both in how we build the platform (LLM-assisted development, testing, and documentation) and in what we deliver from it (AI-ready data products grounded in well-modeled sources). This role partners closely with source-system owners, analytics engineers, data scientists, and data analysts. It&rsquo;s well suited for someone who thrives in a fast-paced environment, has strong opinions about data quality and pipeline reliability, and is energized by building scalable foundations rather than one-off integrations.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Ingestion &amp; Integration
 <br/>
 <br/>
 <ul>
  <li>
   Design and maintain ingestion pipelines that move data from SAP, relational databases, flat files, REST APIs, message queues, and SaaS applications into our data lake/Snowflake.
  </li>
  <li>
   Extend our metadata-driven and template-driven ADF pipeline frameworks so onboarding a new source is a configuration exercise &mdash; schema mapping, validation, and config, not handwritten pipelines.
  </li>
  <li>
   Develop Python-based Azure Functions for custom ingestion logic, REST API integrations, paging/retry handling, and schema reconciliation.
  </li>
  <li>
   Implement reliable full and incremental data load patterns &mdash; watermarking, CDC, late-arriving data, and replayable backfills.
   <br/>
   <br/>
  </li>
 </ul>
 Modeling &amp; Transformation
 <br/>
 <br/>
 <ul>
  <li>
   Land and preserve history of raw data in the Azure data lake or Snowflake (bronze), then build dbt models that conform, deduplicate, standardize, and enrich it into clean silver datasets.
  </li>
  <li>
   Partner with analytics engineers and data analysts to build dimensional models and semantic views that enable AI-ready datasets.
   <br/>
   <br/>
  </li>
 </ul>
 Orchestration &amp; Reliability
 <br/>
 <br/>
 <ul>
  <li>
   Orchestrate end-to-end workflows in Azure Data Factory &mdash; dependencies, parameterization, retries, dynamic parallelism, and error handling for complex multi-source pipelines.
  </li>
  <li>
   Build monitoring, alerting, and own incident response &mdash; triage, root-cause analysis, and backfills, including occasional off-hours coverage for critical loads.
  </li>
  <li>
   Tune pipelines and Snowflake workloads for performance and cost
   <br/>
   <br/>
  </li>
 </ul>
 Data Quality, Security &amp; Governance
 <br/>
 <br/>
 <ul>
  <li>
   Implement data quality rules &mdash; schema validation, completeness, freshness, business-rule checks, and anomaly detection &mdash; wired into pipelines.
  </li>
  <li>
   Apply security and compliance best practices and contribute to lineage, metadata, and catalog efforts.
   <br/>
   <br/>
  </li>
 </ul>
 Platform &amp; Engineering Practices
 <br/>
 <br/>
 <ul>
  <li>
   Partner with Data Platform Engineers on Terraform-managed cloud resources, and CICD pipelines.
  </li>
  <li>
   Drive engineering best practices &mdash; version control, testing, documentation, observability, and document pipelines, schemas, contracts, and runbooks so the platform is supportable by the broader team.
  </li>
  <li>
   Mentor junior engineers, contribute to design reviews, and help evaluate new tools and patterns. Contribute to code reviews.
   <br/>
   <br/>
  </li>
 </ul>
 AI Enablement
 <br/>
 <br/>
 <ul>
  <li>
   Skilled in the use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration
 <br/>
 <br/>
 <ul>
  <li>
   Partner with analytics engineers, data analysts, and data scientists to translate requirements into reliable raw data pipelines they can model into downstream products.
  </li>
  <li>
   Communicate technical concepts and trade-offs clearly to both technical and non-technical audiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job
  <br/>
  <br/>
 </strong>
 Information Technology
 <br/>
 <br/>
 <strong>
  Primary Location
  <br/>
  <br/>
 </strong>
 USA-WA-Seattle
 <br/>
 <br/>
 <strong>
  Schedule
  <br/>
  <br/>
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Job Level
  <br/>
  <br/>
 </strong>
 Individual Contributor
 <br/>
 <br/>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Experienced
 <br/>
 <br/>
 <strong>
  Shift
  <br/>
  <br/>
 </strong>
 Day (1st)
 <br/>
 <br/>
 <strong>
  Relocation Assistance
  <br/>
  <br/>
 </strong>
 Available
 <br/>
 <br/>
 What You&rsquo;ll Have
 <br/>
 <br/>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering
  </li>
  <li>
   4+ years of hands-on data engineering experience building and operating production data pipelines.
  </li>
  <li>
   Strong proficiency in SQL (including performance tuning) and Python (readable, testable, maintainable code).
  </li>
  <li>
   Production experience with a cloud-based ingestion and orchestration platform &mdash; Azure Data Factory and Azure Functions preferred, though comparable tools (Fabric Pipelines, AWS Glue/Step Functions, Airflow, Dagster, Prefect, etc.) are acceptable &mdash; including parameterized, dynamic, and metadata-driven pipeline patterns.
  </li>
  <li>
   Production experience with dbt or a comparable transformation framework, including building and choosing across materialization patterns (views, tables, incremental, ephemeral, snapshots), test coverage, documentation, and history preservation.
  </li>
  <li>
   Production experience with Snowflake or similar data platform: loading patterns, role-based access, performance tuning, and cost-aware design.
  </li>
  <li>
   Demonstrated experience ingesting from a variety of sources: relational databases, SAP, flat files, REST APIs (JSON/XML), and SaaS applications.
  </li>
  <li>
   Experience implementing incremental/delta load patterns and managing watermarking, CDC, schema evolution, and backfills.
  </li>
  <li>
   Working knowledge of Terraform for provisioning Azure and/or Snowflake resources.
  </li>
  <li>
   Solid understanding of data quality, monitoring, alerting, and operational support practices.
  </li>
  <li>
   Working proficiency with Git, pull-request workflows, and CI/CD pipelines for data &mdash; code review, automated testing, and promotion across environments are part of how you ship.
  </li>
  <li>
   AI in your engineering workflow &mdash; demonstrated use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
  </li>
  <li>
   Track record of owning reliability &mdash; not just shipping features, but keeping data flowing cleanly over time.
  </li>
  <li>
   Strong communication skills and the ability to work cross-functionally with engineering, analytics, and business teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure or familiarly working with geo-spatial datasets and using geo-spatial functions
  </li>
  <li>
   Exposure or familiarity with Iceberg table structures and operations
  </li>
  <li>
   Experience designing reusable, config-driven ingestion frameworks at scale.
  </li>
  <li>
   Exposure to streaming or near-real-time ingestion (Event Hubs, Kafka, or similar).
  </li>
  <li>
   Familiarity with data governance, lineage, and catalog tooling.
  </li>
  <li>
   Experience with BI tools such as Power BI in a downstream/consumer context.
  </li>
  <li>
   Experience working with manufacturing, supply chain, or forestry/natural-resources data domains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
 </strong>
 This role will be based out of our corporate office in Seattle, WA.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $98,811-$148,217 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 10% of base pay. Potential plan funding may range from zero to two times that target.
 <br/>
 <br/>
 <strong>
  Benefits:
 </strong>
 When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.
 <br/>
 <br/>
 <strong>
  Retirement:
 </strong>
 Employees are able to enroll in our company&rsquo;s 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary.
 <br/>
 <br/>
 <strong>
  Paid Time Off or Vacation:
 </strong>
 We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees.
 <br/>
 <br/>
 <em>
  Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
 </em>
</div>


Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Alexa+ is Amazon's next-generation AI-powered personal assistant, built on large language models to deliver natural, conversational, and context-aware experiences for hundreds of millions of customers worldwide. We are building new services and experiences for Alexa+ customers from the ground up, and we're looking for experienced, generative AI-savvy Software Development Engineers to join us.<br>
<br>
In this role, you will design, build, and operate Tier-1 cloud services that enable real-time experiences with hundreds of millions of devices and customers. You'll partner with engineers across Alexa+ to tackle complex technical challenges, drive innovation, and deliver experiences that redefine what a personal assistant can do.<br>
<br>
Why You'll Love It Here<br>
<ul><li>Unprecedented technical challenges: You'll work on problems at a scale and complexity few teams encounter. We don't just build AI products; we use generative AI extensively in our own engineering practices, keeping you at the forefront of the field.</li><li>Motivated, collaborative team: Join a team of passionate engineers who support each other, share knowledge freely, and celebrate wins together.</li><li>Greenfield opportunity: We're building from the ground up, giving you the chance to shape architecture, tooling, and culture from day one.</li><li>World-changing impact: Your work will directly shape how hundreds of millions of customers interact with their personal assistant every day.</li></ul><br>
Key job responsibilities<br>
<ul><li>Design and implement highly available, scalable cloud services in Rust and Java</li><li>Build and operate Tier-1 services at massive scale</li><li>Solve novel and complex distributed systems challenges &mdash; from low-latency communication to fault-tolerant architectures</li><li>Leverage generative AI extensively in your day-to-day development workflow to accelerate delivery and improve code quality</li><li>Collaborate with cross-functional engineering teams across Alexa+ to define technical direction and deliver customer-facing features</li><li>Contribute to a culture of operational excellence, including on-call support, monitoring, and continuous improvement</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Alexa Connected Devices

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<div><p>
This role may also be located in our Playa Vista, CA campus.</p><p>
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p><p>
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:</p><br>
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><br>
<p></p>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Seattle, WA, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>10 years of experience in program management, client services or management consulting.</li>
<li>7 years of experience leading and managing delivery teams (upwards of 30+ cross-functional personnel, partners, and vendors).</li>
<li>Experience delivering enterprise digital transformation projects to customers. (e.g., cloud migrations or multi-cloud transformations across data warehousing and analytics, application development, or cybersecurity solutions).</li>
<li>Ability to travel up to 30% of the time as required.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>MBA or Master's degree in Computer Science or a related technical field.<br>
</li>
<li>20 years of experience in program management, client services or management consulting.</li>
<li>Experience leading cloud-based transformation programs and software development solutions.<br>
</li>
<li>Experience working with new and emerging technologies, methodologies, and solutions in the cloud and broader enterprise technology transformation space.<br>
</li>
<li>Experience collaborating with channel partners, systems integrators, and third-party developers to deliver high-impact solutions.<br>
</li>
<li>Experience with programs pertaining to data and analytics systems and implementations.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.</p><br>
<p>
In this role, you will engage directly with customers and key Google partners to deliver, design, build, and advise customers on the best way to transition to Google Cloud. You will specialize in the program management, governance, and orchestration of large-scale cloud transformations. This will involve supporting customers and internal teams from pre-sales through delivery and execution of Google Cloud and customer transformation programs.</p><p><br>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p><p>
The US base salary range for this full-time position is $211,000-$294,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Articulate and enable the path to digital transformation, technology adoption, and cloud transformation for strategic pursuits including workload prioritization, organizational and cultural readiness, capability adoption, and goal clarification.<br>
</li>
<li>Hold accountability to customers at the board and executive-level to ensure the program realizes financial benefits, business objectives, and transformational outcomes.<br>
</li>
<li>Define the overall governance model and services delivery plan for the account and establish a cadence to manage the ongoing delivery of the plan.<br>
</li>
<li>Lead the delivery of multi-functional, large-scale Google Cloud transformation projects, as well as manage a partner ecosystem (i.e., product and services).<br>
</li>
<li>Manage the presales scoping lifecycle, customer requirements, and regularly track them to meet the expected outcomes and timelines, stakeholder communication, relationship management, and building mitigation plans as the program evolves.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Delivery Executive IV, Professional Services, Google Cloud

Anduril

<div><div><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><h3 class="jobSectionHeader"><b>
ABOUT THE TEAM</b></h3>
<p>
Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. In this role, you'll design and implement advanced security architecture that protects our global network while serving as a critical security partner across the enterprise.</p>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL DO</b></h3>
<ul><li><ul><li>Architect and implement defensive security controls across cloud, network, production, and corporate infrastructure</li>
<li>Build systems and tooling to improve automation, visibility, and threat detection across security and infrastructure teams</li>
<li>Conduct security architecture and design reviews for systems, applications, and network environments</li>
<li>Support the deployment, configuration, and maintenance of security tools and controls across cloud and on-prem environments</li>
<li>Independently drive security initiatives and foster a security-first mindset across the organization</li>
<li>Work closely with partner teams to review designs and use-cases, ensuring environments are secure by design</li>
</ul></li></ul><h3 class="jobSectionHeader"><b>REQUIRED QUALIFICATIONS</b></h3>
<ul><li><ul><li>Programming ability in one or more general purpose languages (Python, Go, Rust, etc.)</li>
<li>Experience with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity</li>
<li>Expertise in AWS, Azure, or GCP ecosystems and security tooling</li>
<li>Experience conducting security architecture or design reviews for applications and network environments</li>
<li>Solid understanding of modern adversary tradecraft and defensive mitigation strategies</li>
<li>Experience with cloud platforms and deploying applications through CI/CD pipelines</li>
<li>Experience developing and implementing defensive controls across network, endpoint, and cloud environments</li>
<li>Ability to work autonomously, take ownership of complex projects, and collaborate across teams</li>
<li>Have participated in or supported incident response events</li>
<li>Eligible to obtain and maintain a U.S. TS clearance</li>
</ul></li></ul><h3 class="jobSectionHeader"><b>PREFERRED QUALIFICATIONS</b></h3>
<ul><li><ul><li>Experience building bespoke solutions in high-growth, high-complexity environments</li>
<li>Experience with log aggregation, secrets management, or endpoint security tools</li>
<li>Strong experience with Linux operating systems</li>
<li>Experience with network-based defensive controls in corporate and industrial production environments</li>
</ul></li>
</ul><div><p>The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<p>
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. <i>For more information, </i><i>Explore Our Benefits</i><i>.</i></p><br>
<p></p>
<div>
<h3 class="jobSectionHeader"><b>Protecting Yourself from Recruitment Scams</b></h3>
<p>
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>
</div>
<div><p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li><p><b>No Financial Requests: </b>Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</p>
</li>
<li><b>Please always verify communications:</b>
<ul><li>Direct from Anduril: If you receive an email from one of our recruiters, it will <i>only</i> come from an @anduril.com address.</li>
<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.</li>
</ul>
</li><li><p><b>Exercise Caution with Unsolicited Outreach:</b> If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.</p>
</li>
<li><p><b>What to Do If You Suspect Fraud:</b> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p></li><br>
</ul>
</div><h3 class="jobSectionHeader"><b>Data Privacy</b></h3>
<p>
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.</p><br>
<p></p>
<p>
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.</p></div></div>

Senior Cloud Security Engineer

Providence

<div><p><b>Description
</b></p><p><b>Role summary
</b></p><p>Data Engineer I is responsible for designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system. These solutions leverage cloud technologies, big data platforms, data science methodologies, and contemporary software development frameworks.
</p><p>Key responsibilities include building scalable data pipelines, transformation and enrichment processes, provisioning layers, and intuitive user interfaces aligned with strategic initiatives. This role also involves mentoring junior Data Engineers and contributing to the research and adoption of emerging technologies to establish repeatable processes and templates.
</p><p>Collaboration is a core value, with a strong emphasis on thorough source control and documentation. The ideal candidate approaches complex challenges with simplicity, utilizing modern tools and techniques to deliver efficient solutions.
</p><p>This position works closely with Product, Platform, and Architecture teams to ensure alignment and successful delivery of joint initiatives.
</p><p>In this role you will own the reliability, security, and cost-efficiency of Providence&rsquo;s enterprise data platform. You will automate and monitor production pipelines, resolve incidents and partner with engineering and analytics teams to meet strict SLAs.
</p><p><b>What you&rsquo;ll own
</b></p><ul><li>Automation and monitoring batch/streaming ELT/ETL pipelines across cloud services and Snowflake; keep data fresh and
</li></ul><p>accurate.
</p><ul><li><p>Triaging failures, performing root-cause analyses and post-mortems, and continuously reducing MTTR.
</p></li><li><p>Orchestrating schedules and dependencies (e.g., Ctrl-M) and managing connectors (in Fivetran/HVR).
</p></li><li><p>Building operational automation with SQL, Python, and shell (Bash/PowerShell) on Linux.
</p></li><li><p>Implementing observability: logging, alerting, data-quality checks, audits, and runbooks.
</p></li><li><p>Optimizing Snowflake performance and spend (warehouses, caching).
</p></li><li><p>Enforcing access controls and secrets management, supporting compliance and audit needs.
</p></li><li><p>Partnering with product/analytics teams; documenting procedures and providing reliable on-call support (rotational).
</p></li></ul><p><b>Essential Skills
</b></p><ul><li><p>Strong SQL, plus hands-on Python and shell scripting (Bash/PowerShell) on Linux.
</p></li><li><p>Experience with cloud computing and data warehousing on relational platforms.
</p></li><li><p>Solid understanding of OLAP/dimensional modeling and RDBMS fundamentals.
</p></li><li><p>Knowledge of semi/unstructured data (JSON/Parquet) and API integrations.
</p></li><li><p>Familiarity with open-source ELT/ETL tooling.
</p></li><li><p>Git-based workflows and CI/CD basics for data deployments.
</p></li><li><p>Experience building and managing data ingestion pipelines from multiple sources into cloud data platforms.
</p></li><li><p>Working knowledge of Snowflake, including database objects, warehouses, and basic query optimization.
</p></li></ul><p><b>Nice to have
</b></p><ul><li><p>Snowflake administration experience (account management, RBAC, resource monitors, storage/warehouse configuration, network policies).
</p></li><li><p>Fivetran and/or HVR (Fivetran HVR) experience or equivalent CDC/replication tools.
</p></li><li><p>Snowflake operations expertise (performance tuning, Streams/Tasks, Snowpark), plus knowledge of Snowflake AI features.
</p></li><li><p>Streamlit for lightweight internal apps and operational dashboards.
</p></li><li><p>Experience with enterprise schedulers (e.g., Ctrl-M) and data-quality/observability platforms.
</p></li><li><p>Background in regulated environments (e.g., healthcare/HIPAA) and service management (e.g., ServiceNow).
</p></li></ul><p>W <b>e are accepting applications from candidates who reside within 65 miles of:
</b></p><ul><li><p>Renton, Redmond, or Seattle, WA
</p></li><li><p>Portland, OR
</p></li><li><p>Napa or Irvine, CA
</p></li><li><p>Lubbock, TX
</p></li></ul><p><b>Required Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s in CS/Engineering or equivalent experience; senior-level hands-on ownership of production data operations.
</p></li><li><p>1 or more year of related experience in Snowflake, CTRL-M, and ADF.
</p></li></ul><p><b>Preferred Qualifications:
</b></p><ul><li>Master's degree in computer engineering, Computer Science, Mathematics, Engineering, or an equivalent combination of education and experience
</li></ul><p><b>Salary Range by Location:
</b></p><p>California: All Northern California - Except Humboldt: Min: $52.79, Max: $81.94
</p><p>California: All Southern California - Except Bakersfield: Min: $47.05, Max: $73.04
</p><p>Oregon: Portland Service Area: Min: $45.14, Max: $70.07
</p><p>Texas: Min: $34.43, Max: $53.44
</p><p>Washington: Western: Min: $47.05, Max: $73.04
</p><p><b>Why Join Providence?
</b></p><p>Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.
</p><p>Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons. These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons.
</p><p><b>About Providence
</b></p><p>At Providence, our strength lies in Our Promise of &ldquo;Know me, care for me, ease my way.&rdquo; Working at our family of organizations means that regardless of your role, we&rsquo;ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable.
</p><p>Posted are the minimum and the maximum wage rates on the wage range for this position. The successful candidate's placement on the wage range for this position will be determined based upon relevant job experience and other applicable factors. These amounts are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
</p><p>Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits.
</p><p>Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
</p><p><b>Requsition ID: </b>435996
<br>
<b>Company: </b>Providence Jobs
<br>
<b>Job Category: </b>Development/Engineering
<br>
<b>Job Function: </b>Information Technology
<br>
<b>Job Schedule: </b>Full time
<br>
<b>Job Shift: </b>Multiple shifts available
<br>
<b>Career Track: </b>Business Professional
<br>
<b>Department: </b>4011 SS IS HI DP 3
<br>
<b>Address: </b>WA Renton 1801 Lind Ave SW
<br>
<b>Work Location: </b>Providence Valley Office Park-Renton
<br>
<b>Workplace Type: </b>Remote
<br>
<b>Pay Range: </b>$See Posting - $See Posting
<br>
The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.</p></div>

Data Engineer I IS - Remote

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Want to help drive the success of Machine Learning technologies at AWS? We seek a Software Development Engineer II for the ML Infrastructure team to build the platforms that guarantee top performance of AWS ML and HPC technologies. Our performance data directly influences launch<br>
decisions for new EC2 instance types and has visibility at senior leadership.<br>
<br>
Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA). You'll build CI/CD systems, orchestrate GPU clusters, create performance dashboards, and develop AI-powered automation - all to ensure latest ML networking software ships with confidence.<br>
<br>
Key job responsibilities<br>
Build and maintain infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale across multiple GPU instance types. Use Jenkins, internal Amazon CI/CD tools, Linux, and public AWS products to automate testing and delivery of ML networking libraries - including collective communication frameworks, network transport layers, and GPU communication libraries. Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a matrix of instance types, operating systems, and<br>
software stack versions. Use AWS Managed Grafana and Athena to digest performance data and build dashboards that catch functional and performance regressions before they reach customers. Build automation using LLMs to analyze test failures and surface actionable insights to developers. Contribute to cross-team readiness for new instance type launches by delivering performance data that shapes go/no-go decisions. Manage the complexity of infrastructure covering many instance types, software stacks, Linux operating systems, and latest releases
<br>
and make it easy to evolve.<br>
<br>
A day in the life<br>
You write Python to orchestrate test workloads across large GPU clusters and TypeScript with CDK to ensure all infrastructure is code, reviewed and committed to automated pipelines. You manage shared development clusters using SLURM and AWS ParallelCluster, supporting multiple teams while keeping costs down. You build automation that analyzes nightly test results and surfaces regressions to developers. You write crisp designs for your projects, communicating clearly to your peers what you will build and why.<br>
<br>
About the team<br>
We are part of Annapurna Labs, a subsidiary in AWS that builds software and hardware that make ML on EC2 work. Our organization is a dedicated group of innovators that have invented new networks, new silicon, new software suites, and combined those to entice customers to move immense ML and HPC workloads to the cloud. The ML Infrastructure team is laser focused on making AWS the best and most cost-effective place for customers to do AI at scale. Our work directly enables the launch of new GPU instance types.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience working with Linux</li><li>Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS</li><li>Experience coding in Python</li><li>Experience with TypeScript and AWS CDK for infrastructure as code</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ML Infrastructure Team

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