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backend engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
With AI reshaping every layer of the software stack, we have an opportunity to reimagine consumer software experiences &mdash; making them smarter, more personal, and more useful every day. The Amazon Silk browser team is looking for a Software Development Engineer to join our ranks.
 
 
Join our team to build the cloud services behind the browsing experience across millions of Amazon devices&mdash;from tablets and smart displays to streaming devices and beyond. You'll collaborate with talented engineers, product managers, and designers to solve complex backend service design challenges while directly impacting how customers interact with intelligent, personalized browsing experiences across their devices. 
 
Key job responsibilities 
<ul><li>Design and implement backend services behind Silk's intelligent and personalized browsing experience, owning API contracts, data models, and scaling and latency budgets</li><li>Debug and optimize reliability, latency, and data-consistency issues across distributed services to ensure smooth browsing experiences for customers</li><li>Collaborate with product managers, designers, partner teams across Amazon, and other engineers to understand requirements and deliver solutions that meet customer needs</li><li>Document your work and maintain existing services to ensure long-term reliability and knowledge sharing across the team</li><li>Participate in code reviews, architectural discussions, and technical planning to continuously improve our engineering practices</li></ul> 
A day in the life 
As a Software Engineer on the Silk Browser team, you'll work across the backend service stack, contributing to the design and implementation of the cloud services that make Silk intelligent and personalized. Your day might include designing service APIs and data contracts, debugging reliability and data-consistency issues across distributed services, collaborating with product and design teams to understand customer needs, reviewing code from teammates, and shipping features that reach millions of users. You'll have the autonomy to identify problems, propose solutions, and see your work deployed to real customers in a fast-paced environment that values both rapid iteration and thoughtful engineering. 
 
About the team 
We're a collaborative group of engineers who operate with startup mentality within a global organization. Our mission is to design and continuously improve the cloud services behind Silk's AI, voice, and personalization features across Amazon's device ecosystem. We work closely with product managers, user experience designers, and our Alexa and other partner teams across Amazon to understand what our customers need, then build solutions that delight them. We're committed to fostering an inclusive environment where diverse perspectives strengthen our work, and we invest in each other's growth through mentorship and knowledge sharing. We believe that striking the right balance between professional achievement and personal fulfillment leads to our best work and happiest team members.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
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 - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, Web Experiences

Nordstrom

<div><h2 class="jobSectionHeader">Job Description</h2>
At Nordstrom, product data is the backbone of the customer experience &mdash; from the moment a product is listed to the moment it ships. The PIM Egress team owns Product Core Service (PCS), the authoritative API and Kafka interface that delivers product data to every corner of the business. PCS is mission-critical infrastructure. It serves 100+ downstream teams &mdash; spanning Checkout, Warehouse Management, Data Analytics, and beyond &mdash; at 600 requests per second with a 50ms latency target and the reliability those teams depend on to run the business. 
As a Senior Full Stack Engineer on this team, you'll work at the intersection of scale, reliability, and data integrity &mdash; designing and evolving the systems that ensure every team at Nordstrom gets accurate, timely product data when they need it.
This is a rare opportunity to work at the intersection of large-scale data architecture and customer-facing impact. Every product page a customer sees, every filter they apply, and every category they navigate depends on the systems you will build and evolve.
This role is offered as hybrid in Seattle, WA. Candidates must be available to work in office at the Nordstrom corporate headquarters a minimum of 4 days/week to be considered for this position.
A day in the life...
As a Senior Full Stack Software Engineer, you will design, build, and operate services and user interfaces that are central to Nordstrom's product data ecosystem. You will work across the entire stack &mdash; from React-based internal tools used by merchants and data stewards to Java microservices that process millions of catalog and hierarchy records daily. While this role is Full Stack it's mostly Backend Engineering (80%). Our UI surfaces are internal tools built for the people who manage Nordstrom's Product Data &mdash; think operational dashboards, workflow monitors, and admin interfaces that give teams real-time visibility into how millions of items move through our systems. If you prefer building tools for internal business users that you can have face-to-face conversations with, this role is for you!<ul><li>
Build and evolve core platform services. You'll own microservices that power catalog management, hierarchical classification, and organizational master data. These services integrate with upstream ingestion pipelines (including Kafka-based event streaming and Temporal workflow orchestration) and serve downstream consumers across the company.</li><li>
Design delightful internal tools. Merchants, buyers, and data stewards rely on the UIs your team builds to manage catalogs, assign hierarchy nodes, and govern organizational entities. You'll create React-based applications that make complex data operations intuitive and efficient.</li><li>
Drive data quality at scale. You'll build validation, canonicalization, and entity resolution capabilities that ensure data consistency across Nordstrom's product ecosystem &mdash; spanning wholesale, marketplace, and direct-to-consumer channels.</li><li>
Own what you ship. You'll participate in on-call rotations, build observability into every service (New Relic, structured logging, custom dashboards), and drive operational excellence through runbooks, alerting, and incident response.</li><li>
Influence technical direction. You'll contribute to architecture decisions, participate in design reviews, and mentor engineers on the team. Your designs will consider upstream and downstream integration points and balance short-term delivery with long-term platform health.</li></ul>
Technology stack...<ul><li><h2 class="jobSectionHeader">
Backend: Java, Spring Boot, REST APIs, Kafka (event streaming and CDC), Temporal.io (workflow orchestration), PostgreSQL, DynamoDB, Redis</h2></li><li><h2 class="jobSectionHeader">
Frontend: React, TypeScript, Next.js</h2></li><li><h2 class="jobSectionHeader">
Infrastructure &amp; Cloud: AWS (ECS/EKS, Lambda, S3, RDS, MSK), Terraform, GitHub</h2></li><li><h2 class="jobSectionHeader">
Data &amp; Integration: Kafka topics (Avro schemas), REST and gRPC service-to-service communication, batch and real-time data pipelines</h2></li><li><h2 class="jobSectionHeader">
Observability: New Relic (APM, dashboards, alerting), structured logging, distributed tracing</h2></li></ul>
You own this if you have...<ul><li>
7+ years of professional software engineering experience, including significant delivery of both backend services and frontend applications.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems Engineering, Data Engineering.</li><li>
Communication Skills. Strong verbal, written and diagramming communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.</li><li>
Programming Skills. Proficient in more than one Programming Language. Experience with agentic development and perspective on how to get the most from agents during the Software Development Lifecycle.</li><li>
Strong backend fundamentals. You're comfortable designing and building microservices in Java or Kotlin, working with relational databases (PostgreSQL), and integrating with event-driven architectures (Kafka). Experience with workflow orchestration tools like Temporal is a strong plus.</li><li>
Modern frontend skills. You've built production React applications with TypeScript. You care about usability, accessibility, and creating tools that people enjoy.</li><li>
Infrastructure fluency. You're comfortable working with containerized deployments (Docker, Kubernetes), defining infrastructure as code with Terraform, and configuring CI/CD pipelines. You don't need to be a platform engineer, but you can provision what your services need and troubleshoot deployment issues without waiting on someone else.</li><li>
Distributed systems thinking. You understand the tradeoffs of eventual consistency, can reason about failure modes in a service-oriented architecture, and have data driven perspectives on topics like idempotency, schema evolution, and data partitioning.</li><li>
Ownership mentality. You do more than write code &mdash; you own outcomes. You think about observability from the start, you write runbooks, and you show up when your systems need you.</li><li>
Collaborative and communicative. You thrive in cross-functional environments. You can explain a technical tradeoff to a product manager, pair with a junior engineer on a complex problem, and contribute to architectural discussions with clarity and conviction.</li><li>
Bias toward simplification. You actively seek ways to reduce complexity, remove bottlenecks, and make systems easier to operate and evolve.</li></ul><div></div>
Nice to have...<div><ul><li>
Familiarity with product information management or retail/e-commerce domains</li><li>
Background in entity resolution, canonicalization, or data quality systems</li><li>
Experience with Temporal.io or similar durable execution frameworks</li><li>
Contributions to engineering standards, shared libraries, or developer experience tooling</li></ul>
Why this team...
The Catalogs, Hierarchy &amp; Org MDM team is in an exciting phase. Nordstrom's Marketplace Highway program is expanding the product ecosystem to include third-party marketplace sellers alongside the traditional wholesale business, and our team's systems are foundational to that growth. You'll be joining a team that is actively modernizing its platform, tackling hard data problems at scale, and shipping work that has direct, measurable impact on how customers discover and shop for products.
You'll work alongside engineers who are deeply technical, genuinely collaborative, and committed to building things the right way. We invest in our people &mdash; through mentorship, stretch assignments, design review culture, and an environment where your ideas shape the direction of the platform.</div>
Pay Range Details 
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. 
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
$142,000.00 - $220,500.00 Annual 
We&rsquo;ve got you covered&hellip; 
Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:<ul><li>
Medical/Vision, Dental, Retirement and Paid Time Away</li><li>
Life Insurance and Disability</li><li>
Merchandise Discount and EAP Resources</li></ul> 
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf 
A few more important points... 
The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. 
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site. 
 
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. 
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. 

Nordstrom keeps job postings open for at least one day after the posting date. 

&copy; 2026 Nordstrom, Inc</div>

Senior Full Stack Software 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

Outreach

<div>
 
 About Outreach
 
 
 
 Outreach, founded in 2014, is the only complete
 
 agentic AI
 
 platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
 
 
 
 The Role
 
 
 
 Today, data is everywhere, but only those who truly know how to use it effectively will succeed. Outreach believes there are large swaths of value still locked in sales operations data and we are putting an effort behind building out the best team to help Outreach and our customers succeed through the use of data. As our customer base grows, the desire for more insights, better coaching, and improvements in efficiencies outpace the supply. The Analytics team is focused on Analytics, Coaching Insights and Workflow optimization. This is a critical role that has a unique chance to build outcome-driven reports and analytics to guide our customers, improve their productivity and have a bigger impact on their revenue growth.
 
 
 
 About The Team
 
 
 
 This is a growing team within Outreach. This role would set the bar for engineering and operational excellence, team culture, business impact and hiring standards. Our customer base is yearning for more insights and this team will have a large impact on revenue, operational costs, and coaching efficiencies. This team will span multiple functions including machine learning, frontend, backend engineering and data engineering. The Analytics team will work closely with Data Science to leverage models for optimization, as well as develop their own models, the Data Platform team to shape data efficiently, the Product Management and User Interface Designers to surface data in an effective way.
 
 
 
 Our Vision Of You
 
 
 
 <ul>
 <li>
 2+ years of professional software development experience
 </li>
 <li>
 You have experience with shipping at least 1 major feature into production
 </li>
 <li>
 You are passionate about using analytics to drive the understanding, growth, and success of a product
 </li>
 <li>
 You are hands on, able to quickly pick up new tools and languages, excited about building things and experimenting, always looking to sharpen and adapt your skills. You have a bias for using the right tools to get a job done with maximum efficiency.
 </li>
 <li>
 You have experience making tradeoffs between speed and accuracy
 </li>
 <li>
 Proficiency in a modern language such as golang, Java, Python, C#, etc
 </li>
 <li>
 You have proficiency in at least one of the SQL languages (MSSQL, MYSQL, Postgres, etc)
 </li>
 <li>
 You go above and beyond to help your team
 </li>
 <li>
 You are honest, admit mistakes, and own fixing them
 </li>
 <li>
 Comfortable working directly with data analytics to bridge business requirements with data engineering
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Hands-on experience with AI coding assistants, AI-based testing tools, and automation frameworks used in modern software engineering.
 </li>
 <li>
 Strong knowledge of development workflows including planning, coding, testing, CI/CD, and deployment.
 </li>
 <li>
 Experience with modern cloud environments and AI infrastructure (AWS, Azure, or GCP).
 </li>
 <li>
 Understanding of how to connect AI systems with enterprise data sources (documentation systems, code repositories, ticketing systems).
 </li>
 <li>
 Ability to identify opportunities where AI can accelerate development processes.
 </li>
 <li>
 Knowledge of responsible AI usage, data privacy, and model governance in enterprise environments.
 </li>
 <li>
 Experience in large scale distributed data systems
 </li>
 <li>
 Experience collaborating with data scientists
 </li>
 <li>
 Experience working in a start-up or building a product in a new category
 
 
 </li>
 </ul>
 
 Why You&rsquo;ll Love It Here
 
 
 
 <ul>
 <li>
 Flexible time off
 </li>
 <li>
 401k to help you save for the future
 </li>
 <li>
 Generous medical, dental, and vision coverage for full-time employees and their dependents
 </li>
 <li>
 A parental leave program that includes options for a paid night nurse, and a gradual return to work
 </li>
 <li>
 Infertility/ assisted reproductive services benefit
 </li>
 <li>
 Employee referral bonuses to encourage the addition of great new people to the team
 </li>
 <li>
 Snacks and beverages in the Office, along with fun events to celebrate
 </li>
 <li>
 Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military
 
 
 </li>
 </ul>
 
 Outreach is 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.
 
 
 
 
 
 Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 The annual base salary range for this role is $130,000-$150,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.
</div>

Software Engineer, Analytics Platform

TechBiz Global GmbH

<div>At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.
We are currently looking for a highly proactive and detail-oriented OCP Networking Architect to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.<h4 class="jobSectionHeader">
Description</h4>
As an OCP architect you will be responsible for working with the PCB team and System Architects to drive OCP based solutions that meet our customers' requirements and the highest quality standards. As part of this, you will work with all the stakeholders, from architects and Backend Leads to customers, understanding their requirements and supporting them, guiding the team to the solution platform. 
<ul><li>
Experience architecting rack and datacenters based on OCP solutions</li><li>
Working knowledge of the OCP standards and reference designs</li><li>
Experience with complex PCB designs, including high frequency signals and tight routing resources</li><li>
Knowledge of scale up and scale out network solutions, like UALink, AFL, Infiniband, Ethernet, UEC and so on, including switching and topologies</li><li>
Experience with datacenter networking</li><li>
Experience with Switch architecture and Ethernet based protocols</li><li>
Good understanding of datacenter infrastructure and management support</li><li>
Knowledge of AI datacenter needs and requirements on hardware and firmware</li><li>
Strong problem-solving skills and attention to detail</li><li>
English level C1</li><li>
8+ years of experience in the role</li><li>
Bachelor, Master or PhD</li></ul></div>

OCP Networking Architect

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
 
 
 <ul>
 <li>
 Independently manage complex project lifecycles across organizations and geographies, delivering on objectives and targets as project owner.
 </li>
 <li>
 Participate in engineering reviews, providing tangible impact on system solutions, architecture, and facility processes.
 </li>
 <li>
 Partner with internal teams, stakeholders, and vendors to set priorities, establish milestones, and drive schedules. Proactively identify dependencies, problem-solve, and mitigate risks.
 </li>
 <li>
 Lead execution of systems and automated equipment designs per established standards. Perform installation, throughput, and safety qualifications. Optimize systems and resolve technical deficiencies.
 </li>
 <li>
 Facilitate effective meetings with clear objectives and appropriate stakeholders. Document discussions, decisions, and action items to ensure alignment.
 </li>
 <li>
 Communicate project status, risk analysis, and mitigation plans promptly and accurately. Provide clear, concise summaries to leadership.
 </li>
 <li>
 Articulate system and equipment designs, including layouts, specifications, and capabilities to internal customers and partners.
 </li>
 <li>
 Manage change orders, purchase orders, and invoice approvals efficiently.
 </li>
 <li>
 Build strong relationships with internal and external stakeholders across multiple projects.
 </li>
 <li>
 Identify and lead process improvement initiatives that enhance team efficiency and deliver cost-effective solutions.
 </li>
 <li>
 Travel up to 80% domestically, with variable intensity including extended trips up to three weeks.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 4+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
 </li>
 <li>
 Bachelor&rsquo;s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
 </li>
 <li>
 Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
 </li>
 <li>
 Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of AutoCAD, VBA, and SQL at the intermediate level
 </li>
 <li>
 Experience working with and managing third party vendors
 </li>
 <li>
 Experience with Six Sigma, lean manufacturing
 </li>
 <li>
 Master&rsquo;s degree in Engineering, Operations, Business Administration, or a related STEM field
 </li>
 <li>
 Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects
 </li>
 <li>
 Experience with Six Sigma and/or Lean Manufacturing
 </li>
 <li>
 Experience with Microsoft Project, Smartsheet programs
 </li>
 <li>
 Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells
 </li>
 <li>
 Proven technical leadership for industrial engineering projects or program
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 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
</div>

Operations Engineer, Operations Engineering

Oracle

<div>The Compute Scaled Manufacturing organization's mission is to meet surging GPU demand for Oracle&rsquo;s AI infrastructure by scaling the server qualification process to lift throughput and raise yields across all sites and products. We will standardize how we qualify new SKUs and suppliers, accelerate ramps, and ensure end‑to‑end lifecycle traceability and accountability. Success means faster time‑to‑production, predictable quality at scale, and a repeatable model to bring new products and factories online with minimal disruption. 
About You
<ul><li>You work backward, starting from the user. You care about creating usable, useful software that solves real problems and brings delight to users.
</li><li>You have solid communication skills. You can clearly explain complex technical concepts.
</li><li>You work well with non-engineers. You can lead a conversation in a room with designers, engineers, and product managers.
</li><li>You are comfortable with ambiguity. You have a strong sense of ownership and can drive the development of new projects and features to completion.
</li><li>You are comfortable working at all levels of the stack.</li></ul></div>
 <div>As a Principal Software Engineer, you will lead the software design and development for major components of Oracle&rsquo;s Cloud Infrastructure. You should be both a rock-solid coder and a lead-level engineer, able to dive deep into any part of the stack and low-level systems, as well as design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. 
Qualifications:
<ul><li>8+ years of software engineering experience.
</li><li>Proficient in Java, C, C++, C#, or similar OO languages.
</li><li>Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
</li><li>Strong troubleshooting and performance tuning skills.
</li><li>Experience with REST API and service-oriented development
</li>BS or MS degree in Computer Science or equivalent experience. 
<li>
</li></ul>Preferred Qualifications:
<ul><li>Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.
</li><li>Building software solutions in an engineering environment using C, C++, Python, Java, Shell Scripting, and JavaScript.
</li><li>Object-oriented design and object-oriented programming.
</li><li>Agile or Scrum methodologies.
</li><li>Knowledge of Internet protocols and standards, including SMTP, REST, SSL, and HTTP
</li><li>Microservices, distributed systems.
</li><li>Containerized applications, Docker, Kubernetes, or similar applications.
</li><li>Strong troubleshooting and performance tuning skills.
</li><li>RESTful API design.
</li><li>Experience delivering and operating large-scale, highly available distributed systems.
</li><li>Experience building multi-tenant, virtualized infrastructure is a strong plus.</li></ul></div>

Principal Software Engineer

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