aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

asset & wealth management, personal wealth financial analyst - seattle

category management project intern (tiktok shop - operation center) - 2026 start (bs/ms)

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

aiml - applied ml engineer, data generation & verification Jobs in Seattle

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

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

asset & wealth management, personal wealth financial analyst - seattle Jobs in Seattle

aws data engineer

Ernest Talent

Location: Seattle, WA (Hybrid &ndash; 3 Days Onsite) Duration: Long-Term Contract (12+ Months) Work Authorization: U.S. Citizen or Green Card Holder or EADAbout the RoleWe are seeking an experienced AWS Data Engineer to help build and scale modern cloud-based data platforms that power business intelligence, analytics, and machine learning initiatives. This is an excellent opportunity to work on large-scale data processing solutions, optimize data pipelines, and contribute to a growing data ecosystem built on AWS.You'll work alongside data architects, analysts, and data scientists to design reliable, high-performance data solutions that drive critical business decisions.What You'll Be Doing<ul><li>Design, develop, and optimize scalable ETL/ELT pipelines using AWS-native services</li><li>Build and maintain cloud-based data lake and data warehouse solutions supporting analytics and reporting workloads</li><li>Develop robust data integration frameworks using Python and PySpark</li><li>Design and optimize Amazon Redshift data models and query performance</li><li>Implement data quality, monitoring, and observability solutions across the data platform</li><li>Collaborate with data scientists to operationalize machine learning datasets and feature pipelines</li><li>Improve data governance, security, and compliance practices across AWS environments</li><li>Support automation initiatives and drive continuous improvements in data processing performance and reliability</li><li>Manage software asset, entitlement, and licensing data workflows through ServiceNow integrations</li></ul>What We're Looking For<ul><li>5+ years of Data Engineering experience building enterprise-scale data solutions</li><li>3+ years of hands-on AWS experience in production environments</li><li>Strong expertise in Python, SQL, and data modeling</li><li>Experience with AWS Glue, Redshift, Lambda, S3, Step Functions, and related AWS services</li><li>Strong understanding of ETL/ELT architecture, data integration patterns, and workflow orchestration</li><li>Hands-on experience with Apache Spark and PySpark</li><li>Experience optimizing large datasets for performance, scalability, and cost efficiency</li><li>Knowledge of data governance, security controls, IAM, encryption, and data lifecycle management</li></ul>Nice to Have<ul><li>AWS Certified Data Analytics &ndash; Specialty or related AWS certifications</li><li>Experience supporting machine learning and advanced analytics workloads</li><li>Familiarity with Airflow, Databricks, Snowflake, or modern data platform technologies</li><li>Experience working in Agile development environments</li></ul>Pay: $72.00 - $80.00 per hourWork Location: In person

AWS Data Engineer (Glue / Redshift / Python)

LVT (LiveView Technologies)

<div><div>ABOUT LVT

LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions&mdash;from our physical units in the field to a powerful Agentic AI platform&mdash;that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.

We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it.
<ul>
<li>A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.</li>
<li>Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.</li>
<li>Product &amp; Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.</li>
</ul></div><h3 class="jobSectionHeader">ABOUT THIS ROLE</h3>

As a Senior Cloud Engineer at LVT, you will be a primary architect of the infrastructure that powers our global fleet of intelligent units and our sophisticated Agentic AI platform. We are looking for a high-level individual contributor who thrives on building elegant, automated systems rather than just maintaining them. You will bridge the gap between software and physical hardware, ensuring our AWS environment is scalable, secure, and resilient. If you are passionate about GitOps, complex networking, and &quot;infrastructure as code&quot; as a standard, you will find a home here.

This role is based in-office out of our Headquarters in American Fork, Utah.
<h3 class="jobSectionHeader">
ROLE RESPONSIBILITIES</h3>
<ul><li>Architect and Implement scalable, secure, and highly available infrastructure within AWS to support our rapidly expanding AI and IoT ecosystems.</li>
<li>Drive Automation by developing and maintaining robust Infrastructure as Code (IaC) using Terraform, reducing manual overhead and ensuring environment consistency.</li>
<li>Orchestrate Containerized Workloads using Kubernetes, managing cluster health, scaling, and performance optimization.</li>
<li>Develop CI/CD Pipelines via GitHub Actions and ArgoCD to enable seamless, automated deployments across multiple environments.</li>
<li>Engineer Complex Networking Solutions to ensure secure, low-latency communication between our cloud infrastructure and physical units in the field.</li>
<li>Build Internal Tooling and custom tooling to empower the broader engineering team and streamline operational workflows.</li>
<li>Enhance Observability by implementing monitoring, logging, and alerting frameworks that provide deep visibility into system health.</li>
<li>Lead Technical Design Reviews and provide mentorship to junior team members, acting as a subject matter expert on cloud-native best practices.</li>
</ul><h3 class="jobSectionHeader">OUR IDEAL CANDIDATE</h3>
<ul><li>Cloud Expert: You are a senior-level engineer with experience engineering complex environments within AWS and hold a deep understanding of its core services. Ideally you also have some experience in Azure and other cloud providers as well.</li>
<li>Kubernetes Veteran: You possess hands-on experience managing production Kubernetes clusters and understand the nuances of container orchestration.</li>
<li>Automation Enthusiast: You are an expert with Terraform and believe that if a task is done twice, it should be automated.</li>
<li>GitOps Practitioner: You have a proven track record of using GitHub Actions and ArgoCD to manage sophisticated deployment lifecycles.</li>
<li>Network Architect: You have a strong grasp of advanced networking concepts, including VPCs, VPNs, routing, and security protocols.</li>
<li>Tool Builder: You are proficient in at least one scripting or programming language (e.g., Python, Go, or Bash) for creating custom automation tools.</li>
<li>Problem Solver: You possess a &quot;scrappy&quot; innovative mindset, capable of troubleshooting complex distributed systems under pressure.</li>
<li>Collaborator: You communicate technical concepts clearly to both technical and non-technical stakeholders, fostering a culture of transparency.</li>
</ul>
COMPENSATION The beginning annual salary range for this role is $131,400.00 - $176,400.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.<div><div>

BENEFITS

We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.

LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.</div></div></div>

Senior Cloud Engineer

Tata Consultancy Services

<div>
 
 Job Description
 
 
 
 Must Have Technical/Functional Skills
 
 
 <ul>
 <li>
 5+ years of experience building platforms and data products
 </li>
 <li>
 5+ years of experience working with data and data warehousing business solutions
 </li>
 <li>
 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
 </li>
 <li>
 AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh
 </li>
 <li>
 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
 </li>
 <li>
 Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
 </li>
 <li>
 Experience with Artificial Intelligence (AI) hardware and software integrationenvironment.
 
 
 </li>
 </ul>
 Roles &amp; Responsibilities
 
 
 <ul>
 <li>
 Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)
 </li>
 <li>
 Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services
 </li>
 <li>
 Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)
 </li>
 <li>
 Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business
 </li>
 <li>
 Complete data modelling for acquisition and database implementation collaborating with different stakeholders
 </li>
 <li>
 Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
 </li>
 <li>
 Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists
 </li>
 <li>
 Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)
 </li>
 <li>
 Analyze and manage complex data
 </li>
 <li>
 Guide other data and analytics professionals on data standards and practices
 </li>
 <li>
 Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
 </li>
 <li>
 Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments
 </li>
 <li>
 Leverage automation extensively for scalability, repeatability, and reuse
 
 
 </li>
 </ul>
 Generic Managerial Skills, If any
 
 
 <ul>
 <li>
 Experience in Human Resources
 </li>
 <li>
 Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling
 </li>
 <li>
 Experience wit h Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Windows Server
 </li>
 <li>
 Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
 </li>
 <li>
 Experience with Cloud technologies and/or Cloud-native app development and microservices
 
 
 </li>
 </ul>
 Base Salary Range : $100,000 to $130,000 Per Annum
 
 
 
 TCS Employee Benefits Summary
 
 
 
 Discretionary Annual Incentive.
 
 
 Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
 
 
 Family Support: Maternal &amp; Parental Leaves.
 
 
 Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
 
 
 Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
 
 
 Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
 
 
 Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
 
 
 
 Qualifications:
 
 BACHELOR OF COMPUTER SCIENCE
 
 
</div>

Cloud Data Engineer

Slack

<div>
 
 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.
 
 
 
 Job Category
 
 
 Software Engineering
 
 
 Job Details
 
 
 
 About Salesforce
 
 
 
 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.
 
 
 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.
 
 
 
 About Slack AI
 
 
 
 Slack AI's mission is to transform how people work by making Slack an AI-powered operating system. We're tackling significant challenges like unlocking collective knowledge and reducing noise, all while building a seamless, consumer-grade AI experience within users' existing workflows. Join us in shaping the future of work through AI.
 
 
 The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering &mdash; the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
 
 
 
 About The Team
 
 
 
 The AI and ML Infrastructure team is part of Slack&rsquo;s Core Infrastructure organization and is responsible for the foundational systems that enable machine learning and AI across the company. The team designs, builds, and operates reliable, scalable, and high performance platforms that allow product and ML teams to develop, deploy, and operate AI driven capabilities with confidence.
 
 
 The team owns shared infrastructure, services, and tooling that support the full ML lifecycle, including model training, deployment, inference, and monitoring. As Slack AI continues to grow, the team is evolving from traditional ML deployments toward large scale, highly distributed systems. This work involves deep architectural decisions around scalable model deployment strategies, real time feature serving at very high throughput, GPU accelerated inference at message scale, and responsible training of models on sensitive data with strong privacy and safety requirements.
 
 
 
 Core Focus Areas
 
 
 
 <ul>
 <li>
 ML Infrastructure - The ML Infrastructure focus area is responsible for the low level systems that power training and inference at scale. This includes architecting and maintaining distributed systems for model training, serving, and deployment using Kubernetes based platforms, GPU infrastructure, and open source ML stacks such as KubeRay and vLLM. The team delivers platform capabilities that improve the speed, reliability, and quality of ML development, including training pipelines, feature generation systems, and compute orchestration.
 </li>
 <li>
 AI Platform - The AI Platform focus area builds the tooling and platform layers that enable AI development across Slack. This includes creating developer facing tools, SDKs, and workflows that allow product teams to integrate AI into Slack features efficiently and safely. The platform supports LLM efficiency and model transition initiatives through integrations with managed services across multiple cloud providers acting as the connective layer between core infrastructure and product engineering teams.
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We are looking for Software Engineers to join
 
 the ML Infrastructure
 
 focus area and help architect and operate the core systems that power AI at Slack. In this role, you will own foundational infrastructure for large scale model training and inference, and evolve it into a reliable, secure, and self service platform used across the company.
 
 
 You will work at the intersection of distributed systems, GPU infrastructure, and modern ML stacks, solving complex scalability and reliability challenges. This role blends deep systems engineering with a strong understanding of the ML lifecycle, and plays a critical part in shaping the long term technical foundations of Slack&rsquo;s AI capabilities.
 
 
 What You Will Be Doing
 
 
 <ul>
 <li>
 Design, build, and operate systems to train, serve, and deploy machine learning models at scale, with a focus on reliability, performance, and operational simplicity
 </li>
 <li>
 Evolve GPU backed inference infrastructure to support high throughput, latency sensitive workloads, including large scale model serving
 </li>
 <li>
 Architect and optimize distributed training and data processing systems using platforms such as Ray, Airflow, Spark, or similar technologies
 </li>
 <li>
 Build and maintain Kubernetes based platforms and orchestration layers using tools such as KubeRay, vLLM, and internally developed services
 </li>
 <li>
 Architect solutions that bridge legacy systems with modern technologies while maintaining monolithic application stability
 </li>
 <li>
 Develop robust monitoring, observability, and alerting for production ML workloads to ensure operational excellence
 </li>
 <li>
 Partner closely with AI Platform, ML modeling, security, and product engineering teams to design infrastructure that supports evolving AI use cases
 </li>
 <li>
 Provide technical leadership through design reviews, mentorship, and by setting engineering standards and long term architectural direction for ML infrastructure
 </li>
 <li>
 Author technical design and architecture documentation, and contribute thought leadership through engineering blog posts
 </li>
 <li>
 Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
 </li>
 <li>
 Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
 </li>
 <li>
 Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
 </li>
 <li>
 Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
 
 
 </li>
 </ul>
 What You Should Have
 
 
 <ul>
 <li>
 Significant professional experience in software engineering with a strong focus on infrastructure, backend systems, platform engineering, or MLOps
 </li>
 <li>
 Deep experience building and operating distributed systems, including expert level knowledge of Kubernetes and container based platforms
 </li>
 <li>
 Hands on experience with modern ML infrastructure and serving stacks such as Ray or KubeRay, vLLM, or similar training and inference orchestration frameworks
 </li>
 <li>
 Experience working with GPU infrastructure, including performance optimization and operational management at scale
 </li>
 <li>
 Strong experience with data infrastructure and orchestration technologies such as Airflow, Spark, or similar systems
 </li>
 <li>
 Experience building and operating cloud native systems on public cloud platforms such as AWS, GCP, or Azure, including infrastructure as code
 </li>
 <li>
 A demonstrated ability to drive technical direction for complex systems and balance short term delivery with long term architectural goals
 </li>
 <li>
 Excellent written communication, as well as ability to thrive in an asynchronous and globally distributed infrastructure team.
 </li>
 <li>
 A related technical degree required
 </li>
 <li>
 A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
 </li>
 <li>
 Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
 </li>
 <li>
 Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
 
 
 </li>
 </ul>
 Unleash Your Potential
 
 
 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
 
 be your best
 
 , and our AI agents accelerate your impact so you can
 
 do your best
 
 . 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.
 
 
 Accommodations
 
 
 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
 
 
 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.
 
 
 Posting Statement
 
 
 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.
 
 
 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.
 
 
 At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
</div>

Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack

Oracle

<div><div><div><div>OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platform designed to support AI/ML/HPC workloads. This is your chance to be part of the AI revolution, creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance.
Our team is responsible for designing and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of GPUs, leveraging technologies like RoCE and InfiniBand.
We're looking for an experienced front-line engineering manager to lead and support AI Data Plane (DP) team. You'll build a highly available, massive scale, integrated cloud service in a distributed, multi-tenant cloud environment for hyper-scale AI customers.
You'll bring experience in leading engineering teams, including hands-on technical management and on-call experience. You have technical experience with high-performance, mission-critical environments. You demonstrate strong ownership, solid communication skills and a bias for action. You're comfortable leading projects, communicating with senior leadership, and growing your team.
Why Join Us?
Innovative Projects: Build groundbreaking solutions for our customers from the ground up.
Exciting Times: Be part of a young, fast-growing team working on ambitious new initiatives.
Dynamic Environment: Collaborate in a vibrant, agile environment where learning and adaptability are key.
What We&rsquo;re Looking For:
Adaptable Engineers: Self-motivated individuals with a quick learning ability.
Technical Excellence: Rock-solid developers and distributed systems engineers with a deep understanding of distributed systems and algorithms. Comfortable diving deep into any part of the stack, as well as software debugging and low-level systems troubleshooting.
Passion for Simplicity and Scale: Value simplicity and scalability in design and implementation.
Collaborative Spirit: Comfortable working in a collaborative, agile environment and eager to learn. Ability to collaborate effectively with various dependencies, including Network and Data Center operations.
At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
Values are OCI&rsquo;s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future.
You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you&rsquo;ll belong and be encouraged. 
</div></div></div>Career Level - M3</div>
 <div>Responsibilities:
As an engineering manager at OCI, you will own:
 <ul><li>Engineering and project management. You'll work with customers and stakeholders to understand their feature requirements and pain points. You'll build roadmaps and make priority tradeoffs to deliver those features. Plan and drive engineering projects to successfully deliver that value to our customers, while managing risks and blockers along the way. You'll take large, technically complex projects and break them down into manageable pieces, develop actionable plans and successfully deliver them are expected.
</li></ul><ul><li>People management. You'll handle coaching and performance-management for the engineers on your team. You'll forecast staffing needs, and then work with our recruiting teams to hire those positions.
</li></ul><ul><li>Process improvement. You'll work across engineering teams to identify and resolve systemic problems and bottlenecks, to improve our overall engineering velocity and efficiency.
</li></ul><ul><li>This role is inherently cross-functional and requires the ability to collaborate with PM team and other teams across OCI Core Service teams (Compute, Storage, Network)
</li></ul>Qualifications:
<ul><li>4+ years of engineering management and people management experience
</li></ul><ul><li>5+ years in leading large cross-functional projects, operating large-distributed services in cloud environments
</li></ul><ul><li>5+ years of owning/driving roadmap strategy and definition
</li></ul><ul><li>Bachelor's degree in computer science or related engineering field
</li></ul><ul><li>Strong technical knowledge in distributed systems, high performance computing, and GPU systems. Proven industry expert in high scalability, availability, low-latency domains
</li></ul><ul><li>Excellent organizational, verbal, and written communication skills
</li></ul><ul><li>Experience working in cloud platform(s) (AWS, OCI, GCP, Azure etc).</li></ul></div>

Software Development Manager

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you ready to lead innovations that impact millions of Amazon customers? Do you want to pioneer solutions in an unexplored space? If yes, we have an exciting opportunity for you! 
 
The ARCADE Science and Analytics team needs a Business Intelligence Engineer (BIE) to drive our analytical solutions. This team supports Multichannel Fulfillment (MCF), Amazon Supply Chain Solutions (ASCS), and Buy with Prime (BwP) businesses. We seek a BIE who will identify business opportunities through data-driven insights, create predictive models for supply chain optimization, and analyze customer behavior patterns. 
 
The ideal candidate will build and deploy analytical solutions at scale while collaborating with cross-functional teams. You should have statistical analysis expertise, proficiency in SQL and Python, and experience with data visualization. Your technical skills should be complemented by a good understanding of business metrics and KPIs. 
 
Industry experience in eCommerce, transportation, finance, retail technology, or logistics is preferred. Join our team of engineers and data scientists to transform how Amazon serves its customers through data-driven decisions.
 
 
Key job responsibilities 
<ul><li>Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.</li><li>Work with PMs in understanding the business requirements and implementing solutions to support analytics and reports.</li><li>Conduct ad hoc data analysis and data quality investigations.</li><li>Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.</li><li>Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.</li><li>Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis</li><li>Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations</li><li>Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models</li><li>Understanding of Amazon&rsquo;s data resources, which to use, how, and when</li></ul> 
About the team 
Amazon's Multichannel Commerce and Fulfillment (MCCF) is transforming global retail. We enable entrepreneurs worldwide to reach customers through any sales channel they choose. Through Multichannel Fulfillment (MCF), sellers can efficiently manage and fulfill orders across their sales channels. 
 
Buy with Prime extends Prime benefits beyond Amazon.com, offering fast, free shipping, seamless checkout, and free returns on merchants' own online stores. This innovation increases product selection for Prime members while helping merchants boost their sales. 
 
For over two decades, Amazon has empowered small and medium-sized businesses to grow. MCCF represents our next evolution in supporting merchants of all sizes&mdash;both on and off Amazon's platform.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with scripting language (e.g., Python, Java, or R)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually</div>

Business Intel Engineer, Multi Channel Fulfillment

Amazon

<div>
 
 Description
 
 
 
 As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks.
 
 
 As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control.
 
 
 This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided.
 
 
 Key job responsibilities
 
 
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 Independently manage complex project lifecycles across organizations and geographies, delivering on objectives and targets as project owner.
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 Participate in engineering reviews, providing tangible impact on system solutions, architecture, and facility processes.
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 Partner with internal teams, stakeholders, and vendors to set priorities, establish milestones, and drive schedules. Proactively identify dependencies, problem-solve, and mitigate risks.
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 Lead execution of systems and automated equipment designs per established standards. Perform installation, throughput, and safety qualifications. Optimize systems and resolve technical deficiencies.
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 Facilitate effective meetings with clear objectives and appropriate stakeholders. Document discussions, decisions, and action items to ensure alignment.
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 Communicate project status, risk analysis, and mitigation plans promptly and accurately. Provide clear, concise summaries to leadership.
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 Articulate system and equipment designs, including layouts, specifications, and capabilities to internal customers and partners.
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 Manage change orders, purchase orders, and invoice approvals efficiently.
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 Build strong relationships with internal and external stakeholders across multiple projects.
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 Identify and lead process improvement initiatives that enhance team efficiency and deliver cost-effective solutions.
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 Travel up to 80% domestically, with variable intensity including extended trips up to three weeks.
 
 
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 Basic Qualifications
 
 
 
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 4+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
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 Bachelor&rsquo;s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
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 Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
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 Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)
 
 
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 Preferred Qualifications
 
 
 
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 Knowledge of AutoCAD, VBA, and SQL at the intermediate level
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 Experience working with and managing third party vendors
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 Experience with Six Sigma, lean manufacturing
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 Master&rsquo;s degree in Engineering, Operations, Business Administration, or a related STEM field
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 Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects
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 Experience with Six Sigma and/or Lean Manufacturing
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 Experience with Microsoft Project, Smartsheet programs
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 Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells
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 Proven technical leadership for industrial engineering projects or program
 
 
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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, AZ, Pheonix - 76,600.00 - 114,900.00 USD annually
 
 
 USA, CA, Gilroy - 84,300.00 - 126,400.00 USD annually
 
 
 USA, CA, SAN FRANCISCO - 84,300.00 - 126,400.00 USD annually
 
 
 USA, CA, San Francisco - 84,300.00 - 126,400.00 USD annually
 
 
 USA, IL, CHICAGO - 76,600.00 - 114,900.00 USD annually
 
 
 USA, IL, Chicago - 76,600.00 - 114,900.00 USD annually
 
 
 USA, MA, BOSTON - 76,600.00 - 114,900.00 USD annually
 
 
 USA, MA, Boston - 76,600.00 - 114,900.00 USD annually
 
 
 USA, NY, New York City - 84,300.00 - 126,400.00 USD annually
 
 
 USA, TN, NASHVILLE - 68,900.00 - 103,400.00 USD annually
 
 
 USA, TN, Nashville - 68,900.00 - 103,400.00 USD annually
 
 
 USA, TX, AUSTIN - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, Austin - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, DALLAS - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, Dallas - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, HOUSTON - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, Houston - 76,600.00 - 114,900.00 USD annually
 
 
 USA, WA, SEATTLE - 82,700.00 - 114,900.00 USD annually
 
 
 USA, WA, Seattle - 82,700.00 - 114,900.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A10385958
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Operations Engineer, Operations Engineering

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