Bie Ii Sustainability North America Transportation jobs at Amazon in United States, Bellevue

As a Software Development Engineer II, you will design, manage and own technologies in Delivery programs space and. you will have significant influence on our overall strategy by helping define new product features, drive the system architecture, and spearhead the best practices that enable a quality product.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities- Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite constellations- Design and implement production quality web applications that are secure and accessibility compliant.
- Mentor fellow engineers and contribute to building a strong engineering culture.Export Control Requirements:

- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 2+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience building scalable, distributed, front-end experiences
- 2+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with AWS services used for front ends such as CloudFront, CloudWatch, S3, Lambda, DynamoDB, IAM, Cognito, etc.
- Experience with Java and SQL
- Knowledge of client-server architectures

This role might be for you if...
- You design at the product level with heavy involvement through all phases of the SDLC using concepts that may include Service Oriented Architecture, caching, load balancing, relational and non-relational databases, micro services, n-tiered architecture, cloud and/or map-reduce.
- You use object-oriented design concepts to program large multi-tier systems. You have working knowledge of common and useful design patterns.
- You have designed, refactored, re-architected, deprecated and/or implemented large-scale cloud-based distributed services with millisecond latency and high transactional volumes.- Effectively articulate technical challenges and solutions to non-technical audiences.Key job responsibilities
- Experiment with whatever technology we need to get the job done.
- Use Test-Driven Development and Continuous Deployment.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Why This Role* Deep technical expertise (still hands-on)
* Scalable mechanism design (programs, frameworks, enablement)
* Startup empathy (credible in front of developers and co-founders)
* AI/data native perspective (helping startups turn data into their moat)This role offers the chance to shape how AWS engages startups at scale — while working at the frontier of cloud + data + AI innovation.
Key job responsibilities
Technical Leadership & Mechanism Building* Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org.
* Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups.
* Develop systematic approaches to capture, codify, and share technical insights from the field back into the org.
* Mentor SAs and drive technical upskilling programs that elevate the entire team’s capabilities.Principal SAs for Startups should have depth and expertise in one of the following technical domains, but the technical curiosity to become proficient in all:* ML/AI Infrastructure:
* Architect training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/TPU optimization).
* Design end-to-end ML pipelines and MLOps workflows (data prep, labeling, model registry, deployment).
* Build and optimize model serving architectures and inference systems for cost and latency.
* Cloud Native & Kubernetes:
* Lead design and ops excellence for Kubernetes/EKS, service mesh, microservices, and serverless-first architectures.
* Ensure security, compliance, and observability in containerized workloads.
* DevOps & Reliability:
* Drive GitOps-first workflows, CI/CD at scale, IaC (Terraform/CDK), and automated testing frameworks.
* Apply SRE best practices: monitoring, incident management, resilience, and scaling patterns.
* Data Strategy & Foundations:
* Advise startups on proprietary data strategy as a moat: collection, quality, labeling, governance.
* Architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with modern analytics platforms (Snowflake, Redshift, BigQuery, Databricks).
* Guide adoption of feature stores, vector databases, and lakehouse patterns to enable ML/RAG use cases.
* Ensure compliance and governance across sensitive workloads (GDPR, HIPAA, SOC2).* Maintain deep understanding of emerging technical trends in GenAI, cloud, and data ecosystems.
* Translate insights into actionable guidance for startups and scalable mechanisms for the org.
* Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage.Scaling & Developer Enablement* Build repeatable solutions and reference architectures addressing common startup pain points.
* Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements.
* Act as a “co-founder whisperer” — translating complex technical trade-offs into pragmatic startup-stage guidance.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWSWork/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Technical expertise in multiple domains including ML/AI systems, cloud-native architectures (Kubernetes, microservices, serverless), DevOps/SRE practices, and data engineering/strategy, with advanced proficiency in languages like Python, Go, TypeScript, and Java.
- Demonstrated track record of scaling technical impact through building enablement programs, mentoring teams, and establishing best practices that transform individual expertise into organizational capabilities.
- Technical leadership credentials including creating technical content, contributing to open-source projects, delivering thought leadership, and effectively communicating with audiences from engineers to C-suite executives.
- Comprehensive understanding of modern AI/ML ecosystems (LangChain, Hugging Face, vLLM, Ray) combined with expertise in cloud-native security, compliance, and observability frameworks to build production-grade systems.

- Experience building, deploying, and operating systems and infrastructure at hyperscale.
- Contributions to open-source or developer communities.
- A portfolio of technical publications, talks, or thought leadership.
- The credibility to pair-program with a founder one day, then brief a C-suite on trends the next.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

THE ROLEWhat if I don’t meet all the requirements? That’s okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your on-boarding will set you up for success, including a combination of formal and informal training. You’ll also have a chance to gain AWS certifications and access mentor-ship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.Key job responsibilities
Key job responsibilities
A day in the life
Our Solutions Architects (SA) are experienced technologists with technical breadth and depth coupled with strong interpersonal skills. The key to AWS success is its top-tier collaborative culture. You will have the opportunity to work with multiple AWS professionals that can help you accelerate your career and bring ideas to market. You will be working closely with a talented team of managers and SAs that will push your technical abilities while you bring new innovations to a widely adopted and fast-growing service.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- Proficiency in Mandarin is required as the role involves liaising with Mandarin-speaking clients/business partners/stakeholders/customers who predominantly communicate in Mandarin

We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.Key job responsibilities
-Help a diverse range of generative AI-focused startups to adopt the right architecture at each part of their lifecycle
-Support startups in architecting scalable, reliable and secure solutions
-Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCsA day in the life
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communitiesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
Responsible for building design, development, review and release for approval, deployment of new delivery stations and existing station capacity improvements and enhancements.
Provide process expertise on engineering design including material flow, labor placement, conveyors, equipment, operations modules, packaging profiles, physical building and site layout components
Achieve the daily and weekly plan set in front of the Design Engineers.
Lead continuous process and design benchmark initiatives and conduct deep dive benchmark studies
Responsible for new expansion, retrofit, process improvement initiatives and opportunities at the project level to support associate driver safety, quality, productivity, and the capacity increase for the delivery stations.
Implement solutions for recurring process issues and improvement projects within Design Engineering processes.Implement new template building designs, process improvements, safety processes, etc. into standard designs.*Travel up to 25% to support complex designs with quick, simple, and standard solutions.

- Bachelor's degree in industrial or manufacturing engineering
- 5+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
- Knowledge of automated material handling systems, packaging technologies and storage solutions
- Knowledge of Microsoft Office products and applications (Excel, PowerPoint, Word, Visio, and MS Project) at an advanced level

- Experience working with and managing third party vendors
- Experience with Six Sigma, lean manufacturing
- Master's degree in industrial or manufacturing engineering
- Knowledge of AutoCAD at the intermediate level