infra & performance engineer- senior lead software engineer

aircraft maintenance technician - a&p mechanic

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

software engineer

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

full stack software engineer Jobs in Seattle

full stack software engineer

infra & performance engineer- senior lead software engineer Jobs in Seattle

lead software engineer (backend) Jobs in Seattle

lead software engineer (backend)

platform software engineer

Apple

We are looking for a passionate and experienced Software Engineer to help build the foundation of Apple&rsquo;s next-generation Generative AI platform. This role blends deep systems thinking, scalable backend development, and cutting-edge GenAI technologies such as Retrieval-Augmented Generation (RAG) and Agentic frameworks. You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of intelligent experiences. If you&rsquo;re excited about building production-grade GenAI infrastructure and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale. 
 
Description 
 
An ideal candidate should be a strong programmer and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. You enjoy learning new technologies and have deep interest in either client/systems software design and programming or server side distributed system software development. You take responsibility; you feel a personal stake in the product you ship and for the end-user of it; you communicate responsibilities and scope clearly. The main responsibilities for this position include:&quot;,&quot;responsibilities&quot;:&quot;Leading effort to build large scale, distributed and highly available system and pipelines. 
 
Understanding of GenAI based platform and system including RAG, Agents Etc 
 
Design and develop solution using Java tech stack. 
 
Work with cross functional teams to drive requirements. 
 
Design and implement as per secure guidelines 
 
Work with QA to identify issues and fix it. 
 
Other aspects of the job include mentoring and providing feedback to junior developers, working with the team manager and PM in estimating scope and team capacity, responding to urgent requests from executives or business needs, and maintaining the stability and high reliability of our systems. 
 
Preferred Qualifications 
 
Excellent written and oral communication skills on both technical and non-technical topic. 
 
Strong experience working with Gen Ai based systems including RAG (Embedding or Chunking) and Agentic frameworks (e.g., LangChain, AutoGPT) 
 
Experience working with RAG Data ingestion pipelines, Vector DB and data platforms (e.g., Snowflake, Spark, Flink) 
 
Deep understanding of REST or GraphQL or gRPC APIs, authentication (OAuth, API keys), and distributed systems 
 
Experience in building, maintaining and enhancing RESTful web services using Spring boot for cloud platforms like AWS or GCP 
 
Strong grasp of software design principles (SOLID, DRY) and testing frameworks (Pytest, Jest). 
 
Ability to debug complex cross-platform issues and optimize performance. 
 
Ability to debug and improve ML workflow tuning for high accuracy. 
 
Ability to articulate technical concepts effectively to diverse audiences 
 
Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues 
 
Minimum Qualifications 
 
4+ years of software engineering experience in Java or Python 
 
Proven skills in designing scalable, highly available distributed systems which can handle high data volumes. 
 
Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies 
 
Experience in building, maintaining or enhancing RESTful web services using cloud platforms like AWS or GCP 
 
Extensive understanding of LLM&rsquo;s, RAG, or Agentic workflow 
 
Bachelor's degree in Computer Science or similar degree or equivalent experience 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Software Engineer (GenAi - Platform & Solution), AI & Data Platforms (AiDP)

Uber

<div>About the Role
 
 
As a Software Engineer II on the Storage Platform team, you will build and scale the foundation of Uber's data infrastructure. Our team provides standardized, integrated, and fully managed database, object storage, and cache services. We manage a mix of proprietary and open-source solutions designed for massive scale, high Quality of Service (QoS), and dynamic reliability.
 
 
You will be responsible for the infrastructure that bridges real-time databases with our Big Data Platform, directly powering the data-driven decisions that move Uber forward.
 
 
What You'll Do
<ul><li>Design, develop, and roll out high-performance storage features, frameworks, and ecosystems that are scalable, reliable, and easy to operate.
</li><li>Drive improvements in system reliability and efficiency through advanced automation, proactive monitoring, and performance tuning.
</li><li>Partner with cross-functional stakeholders and application engineers to ensure our storage ecosystem provides a seamless experience across various backends.
</li><li>Take full accountability for projects, from initial requirement gathering with peers to final deployment, while providing technical input to shape the focus area.
</li><li>Elevate the team's engineering standards through rigorous code reviews, design critiques, and technical mentoring.
</li></ul>- Basic Qualifications - 
 
 
<ul><li>Bachelor's degree (or higher) in Computer Science, Engineering, Mathematics, or a similar field.
</li><li>2+ years of software backend and distributed system development experience.
</li><li>Strong problem-solving and solid coding skills in one or more programming languages (e.g., Go, Java, C/C++, Python).
</li><li>Good verbal and written communication skills.
</li></ul>- Preferred Qualifications - 
 
 
<ul><li>Experience developing or operating high-load, large-scale distributed systems and building monitoring systems.
</li><li>Understanding or hands-on experience with big data infrastructure tools and software like Spark, HDFS, and Yarn. Real-time streaming technology, such as Apache Flink.
</li>Excellent written and verbal communication skills, including writing detailed technical documents. 
<li>
</li></ul> 
 
 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Software Engineer II - Storage Platform

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 model 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 AI Platform effort
 
 and build the developer experience that powers AI at Slack. In this role, you will treat internal engineers as your primary customers, designing and building tooling, SDKs, and evaluation frameworks that enable product teams to ship AI features faster and more reliably.
 
 
 You will work closely with ML Infrastructure, modeling, and product teams to make informed decisions around open source versus managed solutions, improve the usability and reliability of our AI platforms, and accelerate the adoption of AI across Slack.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Drive the evolution of Slack&rsquo;s AI and ML platform toward a self service, developer friendly environment that improves velocity and reliability
 </li>
 <li>
 Build and maintain SDKs, feature generation tools, and CI CD pipelines that make it easy for product teams to integrate AI into their workflows
 </li>
 <li>
 Manage and evolve integrations with managed AI services across multiple cloud providers
 </li>
 <li>
 Design and operate AI quality evaluation frameworks and prompt engineering infrastructure to ensure AI features meet high standards for reliability and user experience
 </li>
 <li>
 Collaborate closely with ML modeling, AI quality, and product engineering teams to design platforms that meet evolving technical and business needs
 </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>
 Experience building developer tooling, libraries, or CI CD pipelines that improve engineering speed, quality, and usability
 </li>
 <li>
 Experience operationalizing Large Language Models (LLMs) and building integrations with first party APIs and external cloud provider APIs such as AWS, GCP, or Azure
 </li>
 <li>
 Experience with AI quality evaluation frameworks, prompt engineering infrastructure, or developer tooling for ML workflows
 </li>
 <li>
 Strong proficiency in Python, PHP or Hacklang and experience with infrastructure as code and modern software engineering practices
 </li>
 <li>
 Ability to communicate complex technical concepts clearly and effectively to a broad range of stakeholders
 </li>
 <li>
 Love to model modern methodologies for unit tests, code review, design documentation, debugging, and troubleshooting.
 </li>
 <li>
 Are curious, inquisitive, and determined to fix things when they break.
 </li>
 <li>
 Work well with a team of diverse backgrounds and experience on complicated projects.
 </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 $117,200 - $223,900 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 (SWE/SWE II), AI Platform- Slack

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award winning original content, add-on subscriptions including HBO and Showtime, and Live events like Thursday Night Football and Major League Baseball. We are a premier provider of digital entertainment worldwide and we continue to grow very quickly! We are looking for a self-motivated, passionate and resourceful SDEs capable of breaking down and solving complex problems, and have a strong will to get things done.
 
 
We would love to have you join us in the Prime Video Catalog Selection team to manage the end-to-end lifecycle of content rights, offers, and consumption policies - ingesting partner intent, transforming it into customer-facing selection, and distributing it through canonical APIs. As a Software Development Engineer and a part of the Prime Video Core Engineering team, you will work on designing and developing the systems and infrastructures used by Amazon millions of customers worldwide and will regularly interact with product management and senior engineering leadership. You will help to build our technology vision and create people first and high-performing engineering culture towards achieving a focused mission. 
 
To accomplish this, you will be expected to have an established background in building highly scalable systems and system design, great communication skills, and a motivation to achieve results in a fast paced environment. You should be somebody who enjoys working on complex system software, is customer-centric, and feels strongly about connecting customer problems through underlying scalable software that raises the bar on customer and operational goals. Experience with building and operating web-based applications and/or web services-based applications, especially at massive scale, will be very applicable and helpful. 
 
We care about your career growth and once you join the team, you and your manager will jointly craft a career plan and you&rsquo;ll review it regularly to ensure you&rsquo;re on track to reach your goals. Whether you want to explore new technologies, take on bigger challenges, or be promoted to the next level, we&rsquo;ll help you get there. Our business is growing fast, and our people will grow with it.<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, Prime Video Catalog Selection Platform

JPMorganChase

<div>JOB DESCRIPTION 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Corporate Sector, Core Foundational Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will focus on designing and delivering innovative technology products that prioritize security, stability, and scalability, while implementing vital technology solutions to support the firm's business goals across various functions.
Job responsibilities
<ul><li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficient in coding in one or more languages</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle</li><li>
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>Familiarity with modern front-end technologies</li><li>
Exposure to cloud technologies</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III - Infrastructure Platforms

RAVENNA

<div><h1 class="jobSectionHeader">About the Role</h1>
At Ravenna, we are looking for a Senior Full Stack Engineer with a strong track record of building and operating production systems. You will help design, build, and evolve the core platform that powers our product.
This role requires strong engineering fundamentals and the ability to work across the stack. You will build backend services, design APIs, implement product features, and contribute to the architecture of the overall system. We care deeply about maintainable code, reliable systems, and thoughtful engineering decisions.
You will work closely with the founders, design, and other engineers to ship high quality product experiences while helping shape the long term architecture of the platform. Engineers on our team take ownership of the systems they build and think carefully about performance, reliability, and scalability.
If you enjoy solving complex technical problems, building clean systems, and shipping product quickly, we would love to talk.<h1 class="jobSectionHeader">
Responsibilities</h1><h3 class="jobSectionHeader">
Design and build production systems</h3>
Architect and implement core platform functionality across both frontend and backend systems. Design APIs, backend services, and data models that support the long term evolution of the product.<h3 class="jobSectionHeader">
Full stack product development</h3>
Build product features using NextJS, React, and Typescript on the frontend and Python with FastAPI on the backend. Take features from idea through implementation, launch, and iteration based on real user feedback.<h3 class="jobSectionHeader">
Backend services and APIs</h3>
Design and maintain backend services that power the Ravenna platform. Focus on reliability, performance, and maintainability as the system grows.<h3 class="jobSectionHeader">
System architecture and technical direction</h3>
Contribute to the architecture of the platform and help make decisions about system design, infrastructure, and development practices.<h3 class="jobSectionHeader">
Performance and reliability</h3>
Monitor and improve system performance across the stack. Build systems that are observable, debuggable, and reliable in production environments.<h3 class="jobSectionHeader">
Code quality and engineering standards</h3>
Write clean, well structured, well tested code. Participate in code reviews and contribute to engineering practices that keep the codebase healthy and maintainable.<h3 class="jobSectionHeader">
Collaboration and product ownership</h3>
Work closely with product and design to translate ideas into high quality features. Take ownership of systems and ensure they behave well in production.<h1 class="jobSectionHeader">
About You</h1><h3 class="jobSectionHeader">
Strong engineering fundamentals</h3>
You are a strong software engineer first. You have at least five years of experience building production systems and have developed a strong intuition for designing reliable, maintainable software.
You think carefully about architecture, data modeling, testing, observability, and operational reliability.<h3 class="jobSectionHeader">
Full stack experience</h3>
You are comfortable working across the stack and have experience building both frontend and backend systems. You have strong experience with modern web technologies such as React, NextJS, and Typescript, as well as backend frameworks such as Python and FastAPI.<h3 class="jobSectionHeader">
Backend and system design experience</h3>
You have experience designing APIs, backend services, and data models that support complex product functionality. You understand how to structure systems so they remain maintainable as they grow.<h3 class="jobSectionHeader">
Production ownership</h3>
You care about how systems behave in production. You think about monitoring, logging, debugging, and reliability when designing and building software.<h3 class="jobSectionHeader">
Performance awareness</h3>
You understand how performance affects user experience and system reliability. You have experience diagnosing performance issues and improving system efficiency.<h3 class="jobSectionHeader">
Product mindset</h3>
You enjoy building products and care about delivering features that create real value for users. You are comfortable working in environments where engineers collaborate closely with product and design.<h3 class="jobSectionHeader">
Curiosity and continuous improvement</h3>
You stay current with modern engineering tools and practices and enjoy improving systems, processes, and the developer experience.<h2 class="jobSectionHeader">
Technologies We Use</h2><ul><li>
NextJS</li><li>
React</li><li>
Typescript</li><li>
Python</li><li>
FastAPI</li><li>
TailwindCSS</li><li>
Modern monorepo tooling</li></ul>
Experience with these technologies is helpful, but strong engineering ability and system design skills matter most.<h1 class="jobSectionHeader">
Benefits</h1><h3 class="jobSectionHeader"> 

Competitive Salary</h3><ul><li>
We believe great people should be compensated well. While we are an early stage company, we offer competitive salaries and aim to pay top of market for exceptional talent.</li><li>
We are building an ambitious company and know that attracting great people requires strong compensation.</li></ul><h3 class="jobSectionHeader">
Meaningful Equity</h3><ul><li>
We hire people who want to help build Ravenna from the ground up. Equity ensures that when the company succeeds, the people who helped build it share in that success.</li><li>
Early team members have the opportunity to make a real impact on both the product and the future of the company.</li></ul><h3 class="jobSectionHeader">
Choose Your Setup</h3><ul><li>
Great work requires great tools. At Ravenna you can choose the hardware and setup that helps you do your best work.</li><li>
Most of the team uses high performance Mac laptops, but you have the flexibility to select the tools and environment that fit your workflow.</li></ul><h3 class="jobSectionHeader">
Flexible Time Off</h3><ul><li>
Doing great work requires time to recharge. We offer flexible paid time off so you can take the time you need to rest and stay at your best.</li><li>
We trust our team to manage their time responsibly while delivering meaningful results.</li></ul>
Compensation Range: $160K - $200K</div>

Sr Fullstack Engineer

Aerovy

<div><h3 class="jobSectionHeader">About Us</h3>
Aerovy is a fast-paced startup building the digital infrastructure for the next generation of intelligent hardware. We help OEMs rapidly launch cloud-native software and services, turning physical systems into smart, connected platforms.
We started by electrifying airports. Now, we&rsquo;re helping companies across aviation, mobility, and industrial sectors connect their hardware, orchestrate energy, and unlock new business models.<h3 class="jobSectionHeader">
The Aerovy Story</h3><ul><li>
Founded in 2022 to develop infrastructure for advanced air mobility</li><li>
Spun out from Purdue University Aerospace Systems Engineering research</li><li>
Backed by M25, Mudita, Flywheel Fund, Purdue Ventures, Quorum Venture Partners, Plug and Play, Knoll Ventures + more</li><li>
Crossing 200k devices on the platform, growing fast!</li></ul><h3 class="jobSectionHeader">
Job Summary</h3>
As a lead software engineer at Aerovy, you&rsquo;ll lead architect and deliver core components of our cloud platform, serving real-time applications across energy, IoT, telematics, and AI.
You&rsquo;ll work on a modular extensible system that powers everything from EV fleets and battery platforms to electric aircraft and robotics. This is a hands-on, full-stack opportunity where you&rsquo;ll own features end-to-end, from concept to launch, and work closely with a nimble, high-caliber team.
If you're excited about building high performance production systems, solving hard problems at scale, and shipping real value in a fast-moving environment, we&rsquo;d love to talk. 
 
Job Requirements:<ul><li>
Bachelor or Master of Science in Computer Science or related fields with 5 or more years of industry experience</li><li>
Passion for finding and solving hard problems</li><li>
Passion for learning and growing both technically and non-technically</li><li>
Strong understanding of distributed systems, micro-service architectures, RESTful APIs, and event-driven systems</li><li>
Extensive experience in Cloud/IaaC Infrastructure and Tooling preferably AWS (EC2, Lambda, S3, RDS, AWS Batch, DynamoDB, CloudFormation/CDK, etc.)</li><li>
Excellent communication skills and proven ability to convey complex ideas to diverse stakeholders in a concise and clear manner</li><li>
Designed, developed and maintained high-performance services and software infrastructure using AWS or equivalent cloud services</li><li>
Lead technical design and architecture discussions across multiple systems and teams</li><li>
Championed engineering best practices, including CI/CD, monitoring, testing, and code quality</li><li>
We are looking for a candidate with a proven track record shipping production systems to lead the development of a scalable, secure, and high-performance platform</li></ul><h3 class="jobSectionHeader">
Nice to haves:</h3><ul><li>
Production experience in Cloud/IaaC Infrastructure and Tooling preferably AWS (EC2, ECS, Lambda, S3, DynamoDB, CloudFormation/CDK, etc.)</li><li>
Production experience in Docker/containerized applications</li><li>
Production experience with near real-time/real-time analytics, time series databases</li><li>
Production experience with MQTT</li></ul><h3 class="jobSectionHeader">
Responsibilities</h3><ul><li>
You will play a key role in architecting solutions, mentoring engineers, and driving technical excellence across our cloud-native platforms.</li><li>
You will be expected to function independently and proactively.</li><li>
You will be routinely given requirements and be accountable to drive delivery end-to-end.</li><li>
You will be expected to derive clear actionable engineering requirements from customer requirements, market data, and product strategy.</li><li>
Collaborate with cross-functional teams to deliver business-critical features and services</li><li>
Provide mentorship and guidance to junior and mid-level engineers</li><li>
Own the reliability, scalability, maintainability, and performance of critical production systems</li><li>
Contribute to the long-term technical vision and roadmap of our platform aligned with product strategy and business needs</li></ul><h3 class="jobSectionHeader">
Additional Notes</h3><ul><li>
This is an in person role in Seattle with hybrid opportunities available on a case-by-case basis, offering flexibility while ensuring close collaboration with product, engineering, and business stakeholders.</li></ul>
Compensation Range: $180K - $250K</div>

Lead Software Engineer (Backend)

Explore 301+ Platform software engineer in Seattle this May. Find roles across top companies and apply now to boost your career.