data engineer

consulting manager - ai & analytics Jobs in Seattle

consulting manager - ai & analytics

customer care representative i Jobs in Seattle

customer care representative i

customer engineer, data management, retail, google cloud Jobs in Seattle

customer success engineer - database (2nd shift) Jobs in Seattle

customer engineer data management retail google cloud

Google

<div>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:<br>
<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<br>
</li></ul><br>
<br>
<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Austin, TX, USA; Atlanta, GA, USA; Chicago, IL, USA; Seattle, WA, 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 with database administration or cloud native architecture in a customer-facing or support role.</li>
<li>Experience engaging with, or presenting to, technical stakeholders or executive leaders; experience leading demonstrations of database products.</li>
<li>Experience with Oracle or DB2 database technologies, PL/SQL development, administration and management tools, or database performance tuning techniques.<br>
</li>
<li>Experience with Oracle or DB2 to PostgreSQL data migrations, including Schema/Code conversion tools, zero downtime migration strategies or technologies, or regression testing strategies and automation tools.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Computer Science or other technical field.</li>
<li>Experience learning and working with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.</li>
<li>Experience in technical sales or consulting in systems integration, data transfer and management, and enterprise database performance.</li>
<li>Experience optimizing database performance with transactional or analytic workloads, and experience with disaster recovery and data backup strategies.</li>
<li>Knowledge of DevOps principles and database automation tools.</li>
<li>Understanding of cloud-based database architectures and deployments (e.g., GCP) and knowledge of distributed or big data technologies.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.</p>
<p>
As a Database Management Customer Engineer for Google Cloud, you will help our customers migrate from their legacy database portfolios to Google Cloud's offerings. You will anticipate and address key technical challenges for our customers in close partnership with sales teams. Additionally, you will collaborate with Product and Engineering teams to stay ahead of industry trends and proactively devise enhancements to Google Cloud products.</p><p>
You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and present practical and useful solutions on Google Cloud. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.</p><p>
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 $153,000-$222,000 + 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>Work with the team to identify and qualify business opportunities for database migrations. Understand key customer business and technical issues, and develop strategies and solutions to support their migrations.</li>
<li>Inspire customers and peers to solve difficult problems with ambitious and novel solutions, including product and solution briefings, proof-of-concept work, and coordinating technical resources.</li>
<li>Design the goal architecture and the migration strategy to minimize the migration effort, risk, and downtime.</li>
<li>Work with customers to demonstrate and prototype migrations into the Google Cloud database offerings in customer and partner environments.</li>
<li>Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to complete solutions using best practices on Google Cloud.</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>

Customer Engineer, Data Management, Retail, Google Cloud

DigitalOcean

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
We are looking for a <b>Customer Success Engineer - Database</b> who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.</p>
<p>
As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.</p>
<p>
In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li>Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments</li>
<li>Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity</li>
<li>Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean</li>
<li>Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.</li>
<li> on complex escalations, contributing to root cause analysis and resolution</li>
<li>Analyze customer architectures to identify improvement opportunities and recommend best practices</li>
<li>Participate in incident response and on-call rotations to support critical customer issues</li>
<li>Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.</li>
<li>Advocate for customer feedback to influence product improvements and platform enhancements</li>
<li>Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.</li>
<li>Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.</li>
</ul><h2 class="jobSectionHeader"><b>Key Metrics</b></h2>
<ul><li>Customer Satisfaction (CSAT)</li>
<li>Time to Resolution / SLA adherence</li>
<li>Escalation quality and resolution effectiveness</li>
<li>Documentation and knowledge base contributions</li>
<li>Customer adoption of best practices</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Add to DigitalOcean</b></h2>
<h3 class="jobSectionHeader"><b>Required Experience &amp; skills</b></h3>
<ul><li>2&ndash;5 years of experience in technical support, DevOps, cloud engineering, or similar roles</li>
<li>Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.</li>
<li>Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts</li>
<li>Understanding of database fundamentals including backups, replication, indexing, and performance tuning</li>
<li>Strong troubleshooting skills across application, database, and infrastructure layers</li>
<li>Customer-first mindset with a passion for solving technical problems and delivering great support experiences</li>
<li>Effective communication skills with the ability to explain technical concepts clearly</li>
<li>Ability to work both independently and collaboratively in a fast-paced environment</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualification:</b></h2>
<ul><li>Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.</li>
<li>Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.</li>
<li>Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)</li>
<li>Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.</li>
<li>Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies</li>
<li>At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator</li>
<li>Exposure<b> </b>to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$75,200 - $94,000 / Shift hours - 1pm - 9pm PST</li>
</ul>
<ul><li>This is a remote role</li></ul>
<p>
JR: 2026-7646</p>
<p><i>
#LI-Remote</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Customer Success Engineer - Database (2nd Shift)

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Lead Data Engineer, Customer Data Graphs
</b></p><p><b>Office hybrid in Seattle or Chicago
</b></p><p></p><p>As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. You will work in a dynamic organization that engineers rigorous data pipelines that support customer data graphs, analytics, AI/ML models and systems, and more.
</p><p></p><h3 class="jobSectionHeader"><b>What You&rsquo;ll Do
</b></h3><ul><li><p>Data Architecture for Agentic Systems: Design and implement specialized data structures that support the use of customer data graphs, which power agentic context and memory.
</p></li><li><p>Scalable Pipeline Engineering: Lead the development of robust ETL/ELT frameworks using Python and SQL. You will build highly decoupled, modular pipelines that can handle petabyte-scale data while maintaining strict data quality and lineage.
</p></li><li><p>High-Performance Data for AI: Build customer identity graphs that serve data to applications and AI with sub-second performance.
</p></li><li><p>Technical Mentorship : Act as a technical pillar for a specialized team of data and AI engineers, fostering technical excellence and elevating the overall skill set of the organization.
</p></li><li><p>Strategic Technical Roadmap : In partnership with product managers and engineering leaders, aligning graph strategy and architecture with our broader Data360 and graph database efforts.
</p></li><li><p>Operational Excellence : Establish and enforce rigorous technical standards for data quality, and latency to ensure agents provide reliable, real-time insights.
</p></li><li><p>AI Integration &amp; Automation : Lead high-impact efforts to automate the data delivery pipeline, ensuring seamless integration between internal databases, third-party APIs, and the AI orchestration layer.<br>
<br>
</p></li></ul><p></p><p><b>Qualifications:
</b></p><ul><li><p>8+ years of experience as a Data Engineer or in a similar role.
</p></li><li><p>A related technical degree required.
</p></li><li><p>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</p></li><li><p>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</p></li><li><p>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</p></li><li><p>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</p></li><li><p>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</p></li><li><p>Problem-solving skills to troubleshoot and resolve data-related issues.
</p></li><li><p>Excellent communication skills and ability to collaborate in a cross-functional environment.
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Lead Data Engineer, Customer Data Graphs

<div>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:<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 (statutory, where applicable); 5 days/event (discretionary)</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><h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>2 years of experience with security assessments or security design reviews or threat modeling.<br>
</li>
<li>2 years of experience with security engineering, computer and network security and security protocols.<br>
</li>
<li>2 years of coding experience in one or more general purpose languages.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience in security assessments, vulnerability management and security research.</li>
<li>Experience in conducting AI Red Teaming or participating in AI bug bounties.</li>
<li>Experience in analyzing systems and identifying security and abuse problems, threat modeling, and remediation.</li>
<li>Understanding of Generative AI technologies, Large Language Models (LLMs) and AI agents.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities.</p>
<p>
As the Security Engineer, you will be a thought leader and subject matter expert in AI safety and security. You will be responsible for identifying emerging patterns and trends across a full-spectrum of threats and translating the findings into insights and protections. With your knowledge and passion for learning new things, you will help the teams to solve the classes of problems in AI security and misuse at Google scale. You will be building protection and intelligence for Gen AI Application Programming Interface (API) Abuse and Security, ensuring the reliability and security of Cloud and Workspace AI systems including agents.</p><div>
The US base salary range for this full-time position is $147,000-$211,000 + 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.<br>
<br>
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.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Test Cloud AI systems for vulnerabilities, including jailbreaks, data exfiltration, prompt injections, and adversarial manipulation.</li>
<li>Uncover novel vulnerabilities across new and AI features.</li>
<li>Build and calibrate anti-abuse detection systems and AI agents to protect Cloud and Workspace products.</li>
<li>Investigate and remediate abuse incidents while using findings to refine detection agent performance.</li>
<li>Partner with product teams to drive enterprise security improvements, operational best practices, and threat mitigation.</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>

Security Engineer III, AI Protection

<div>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:<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 (statutory, where applicable); 5 days/event (discretionary)</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><h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>5 years of experience with security assessments or security design reviews or threat modeling.<br>
</li>
<li>5 years of experience with security engineering, computer and network security and security protocols.<br>
</li>
<li>5 years of coding experience in one or more general purpose languages.<br>
</li>
<li>1 year of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience in applied vulnerability research, or advanced pen testing/red teaming.</li>
<li>Experience in conducting AI Red Teaming or participating in AI bug bounties.</li>
<li>Experience in analyzing systems and identifying security and abuse problems, threat modeling, and remediation.</li>
<li>Understanding of Generative AI technologies, Large Language Models (LLMs), and AI agents.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities.</p>
<p>
As the Senior Security Engineer, you will utilize your security engineering expertise to combat novel Generative AI (GenAI) threats and provide technical leadership in cybersecurity, intelligence, and threat analysis. You will lead efforts to secure AI products and agents against sophisticated and novel attacks. You will be building protection and intelligence for Gen AI Application Programming Interface (API) Abuse and Security, ensuring the reliability and security of Cloud and Workspace AI systems. You will mentor the engineers and analysts, partner closely with AI researchers, and drive cross-functional security initiatives that shape the future of secure AI at Google Cloud scale.</p><div><div><div><div><div><div><div><div><div><div><div>
The US base salary range for this full-time position is $174,000-$252,000 + 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.<br>
<br>
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.</div></div></div></div></div></div></div></div></div></div></div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Drive the direction for Cloud AI security initiatives, architect comprehensive threat models for AI ecosystems, and mentor teams on secure operational practices.</li>
<li>Identify and analyze novel attack vectors targeting AI agents and underlying Large Language Models (LLMs), including advanced reasoning manipulation, data exfiltration, and model inversion.</li>
<li>Lead advanced adversarial simulations and assessment of Cloud AI systems, architecting novel testing frameworks to expose multi-stage vulnerabilities.</li>
<li>Pioneer vulnerability research methodologies and establish continuous discovery programs to systematically expose zero-days and unknown attack vectors across next-generation Cloud AI products.</li>
<li>Direct the rapid investigation and mitigation of high-severity AI abuse incidents, collaborating across product and research teams to deploy enterprise-wide security improvements.</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>

Senior Security Engineer, AI Protection

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

Capgemini

<div><div><div><p>Seattle</p><div>
Salesforce Data Cloud Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Description</div></div><div><div>
&bull; Salesforce Data Cloud Engineer with 10-12 years of overall IT experience and 6-7 years on the Salesforce platform, including 3-5 years of hands-on experience designing, integrating, and delivering Salesforce Data Cloud solutions. &bull; Strong expertise in ingesting and harmonizing data from multiple enterprise sources, building scalable data pipelines, configuring identity resolution, and modeling unified customer profiles to support activation into Sales Cloud, Marketing Cloud, and Revenue Cloud.<br>
<ul><li>Proven ability to design and manage segmentation and data activation strategies that reliably deliver governed, high-quality data for CRM, marketing, and revenue use cases.</li><li>Experienced in complex integrations using APIs and middleware across cloud platforms and legacy systems, with a solid understanding of data quality, security, consent, and governance practices.</li><li>Works closely with solution architects, GenAI teams, and business stakeholders to ensure data readiness for AI-enabled workflows, including Einstein Copilot and external LLM integrations, while contributing to architecture design, implementation, and operational stability in Agile, client-facing environments</li></ul></div></div></div><div><div><div>
Job Description - Grade Specific</div></div><div><p>
Individual should be able to conceptualize a business or technical solution leveraging colleagues and partners and must mastered at least one methodology in depth and have an advanced knowledge of one or more business domains, and one or more SaaS or package software solutions. This role has wide knowledge of industry innovations and competitor activity and actively engage in, and contribute to, internal and external knowledge developments. Individual has the solution knowledge and consulting skills to lead process improvements, &oelig;as isor to be analysis on business processes andor or IT and can advise clients on the implementation of one or more package modules. This role is responsible for workshop facilitation, integration testing and user acceptance testing. Individual is seen as active member within technology communities. Certifications: maintain certifications on Saas or Package Based solution and relevant methodology&lsaquo;</p></div></div></div><p>
The base compensation range for this role in the posted location is: $86,900-$203,800.</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
446426-en_GB</div></div><div><div>
Posted on</div><div>
26 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Seattle</div></div><div><div>
Business unit</div><div>
ABL AMERICAS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
SaaS Solutions</div></div></div></div></div></div></div></div></div><p></p>

Salesforce Data Cloud Engineer

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