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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

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

Expedia Group

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Team
Looking to join a team that builds the data and platform foundations behind analytics, AI, reporting, and better decision-making at scale? 
 
As a Data Engineer III in the AI and Analytics Platform team, you will design and improve reliable data pipelines, shape well-modeled data products, and help build analytics-friendly and AI-ready datasets that power self-service insights, automation, and emerging Agentic AI use cases across Expedia Group. This role is a strong fit for someone who enjoys solving complex data problems, writing high-quality code and SQL, and building systems that are scalable, observable, and trusted by their users.
 
 
In this role, you will
<ul><li>Design, build, and maintain scalable batch and near real-time data pipelines and data products that support analytics, reporting, and downstream business use cases.
</li><li>Help build foundational analytics- and AI-friendly datasets across domains so data is easier to discover, trust, reuse, and apply in reporting, decision-making, automation, and emerging AI use cases.
</li><li>Write efficient, maintainable code and advanced SQL, applying strong engineering fundamentals to data ingestion, transformation, modeling, and access patterns.
</li><li>Lead complex, well-defined projects from technical design through delivery, while identifying inefficiencies in existing systems and improving reliability, scale, and maintainability.
</li><li>Build and improve data models, schema design patterns, and data quality practices so that data is easier to understand, trust, and use.
</li><li>Strengthen operational excellence through testing, monitoring, alerting, troubleshooting, and clear ownership of service health, freshness, and performance expectations.
</li><li>Partner closely with Product Managers, engineers, analysts, and business stakeholders to translate intake requests and business needs into practical technical solutions, with many projects and data products ultimately consumed by executive leadership for decision-making and visibility.
</li><li>Mentor more junior engineers through collaboration, technical guidance, and code review.
</li></ul>Minimum qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field; or equivalent related professional experience.
</li><li>5+ years of relevant professional experience in data engineering, software engineering, or a closely related technical field.
</li><li>Strong SQL skills and hands-on experience building and operating production-grade data pipelines or data products in cloud-based environments.
</li><li>Experience with data modeling, schema design, and modern data access patterns, with the ability to make sound technical decisions within project scope.
</li><li>Experience testing, monitoring, debugging, and improving data systems for reliability, observability, and operational quality.
</li></ul><div></div>Preferred qualifications
<ul><li>Experience supporting analytics, business intelligence, experimentation, or AI/ML-oriented data use cases.
</li><li>Experience with schema evolution, backfills, data freshness expectations, and service-level thinking for production data systems.
</li><li>Experience leading moderately complex technical designs and driving delivery across multiple collaborators or dependent teams.
</li><li>Experience improving engineering standards through mentoring, code reviews, documentation, and sharing best practices with peers.
</li><li>Familiarity with cloud-native data tooling and distributed data processing patterns at scale.
</li><li>Hands-on experience with technologies and infrastructure commonly used for end-to-end data engineering at Expedia, such as SQL, Python or Java, Spark, Hive, Trino, Querybook, Airflow, Jupyter, Databricks, AWS S3, AWS Glue Catalog, Unity Catalog, Dataproc, EGMP, Kafka Connect, DataPull, and Data Workbench.
</li><li>Practical experience using AI-assisted engineering tools such as Claude, Codex, Glean, Cursor, or similar tools to accelerate development, troubleshooting, documentation, and knowledge discovery.
</li><li>Ability to apply AI tools thoughtfully to enhance and automate data engineering workflows while maintaining strong standards for data quality, security, governance, and operational reliability.
</li></ul><div></div>Why join us 
 
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
 
We&rsquo;re focused on shaping the future of travel and helping exceptional people do their best work. Whether you&rsquo;re building in engineering or partnering across the business, you&rsquo;ll be part of a team working toward a common goal with curiosity, humility, and a bias for better outcomes.
Please note that this role is only available in Seattle, WA, in alignment with our flexible work model, which requires employees to be in the office at least three days a week. We are unable to offer relocation assistance for this role.
The total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life . 
 
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Data Engineer III

Stealth AI startup

<div><h2 class="jobSectionHeader">The Opportunity</h2>
We are a seed-stage AI startup, currently in stealth, backed by top-tier VCs. We are hiring for a founding engineer for the role of a Product Architect (Sr PE/PE level). This is a rare kind of role. You will own major parts of the platform from early stages, and play a part in building out the company itself: how we build, how we work together, and what we value as an organization. We are building a high-trust, high-standards team of exceptional builders who want to move fast, go deep, own outcomes, invent better ways to create unmistakable customer value and ultimately drive business and personal success.<h2 class="jobSectionHeader">
What We're Building</h2>
Our north star is to help companies of all sizes build, deploy and manage AI applications in a seamless, efficient and cost-effective way. We believe that more and more enterprises and AI startups will build their own application-specific AI models in order to own major portions of their application stack, build on their IP position and optimize for performance and costs. For these companies, models, weights, and data are becoming the strategic moat. But moving from experimentation to production remains slow and messy: fragmented tooling, mounting infrastructure complexity, and significant engineering time lost to security, access, and compliance work instead of innovation.
Our core value proposition is simple. We help product and engineering teams move faster with building and integrating AI models into their applications, with high confidence and trust. The platform is designed to be deployed in a customer&rsquo;s existing environments, ranging from public clouds, on-prem, and hybrid environments. We will share the full picture, including our product, early traction, and roadmap, in our first conversation.<h2 class="jobSectionHeader">
Why This Role Is Different</h2>
You are building the thing, not inheriting it. As a founding engineer, you will make the architectural decisions everything else gets built on: the core platform, the technology stack, and the engineering culture. There is no legacy codebase and no committee.
The equity is real. The pace of progress in AI has created a once-in-a-lifetime window, and where you spend the next few years matters more than it ever has. You can spend them at a big tech where you are a line item in a headcount plan, doing your best work under the constant pressure of the next layoff cycle while someone else captures the upside. Or you can spend them as a founding engineer with meaningful equity in what you build.
You will work directly with a founder who has done this at scale. Our CEO has nearly two decades of experience building and scaling AI infrastructure businesses. He scaled a business from about $100M into a multi-billion-dollar segment at a leading cloud provider, and served as Chief Product Officer of a company he helped take public, now valued at over $50B. He leads by example, stays hands-on, and invests heavily in developing people and helping them do the best work of their careers.
The timing is now. Enterprise AI is crossing from experimentation into production right now, and the infrastructure layer underneath it is being decided. The companies that define that layer will be built in the next few years, by small teams that move fast.<h2 class="jobSectionHeader">
What You'll Do</h2>
This is a hands-on building role. You will report to the CEO and collaborate closely with our founding Product Architect on the product platform. We expect roughly 80% of your time on product development, with the rest split between product research and direct customer support.<ul><li>
Design, build, test, and operate production-grade features and services.</li><li>
Build and run systems that deploy across public cloud, on-prem, and hybrid environments.</li><li>
Contribute to architecture and technical decisions, partnering with the Product Architects on the bets that shape the platform.</li><li>
Take part in product research: prototyping new approaches and evaluating emerging tools and techniques.</li><li>
Work directly with early customers to turn real-world requirements into working capabilities and to support them in production.</li><li>
Use AI-driven development workflows (Claude Code, Cursor, or equivalent) as a daily multiplier on velocity and quality.</li><li>
Help set the bar for engineering quality and craft as the team grows.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
We are hiring across Senior (L5 equivalent) and Staff (L6 equivalent) levels. The work is the same. The difference is depth of experience and the scope of the systems you have built and owned.<ul><li>
5+ years of hands-on engineering experience building and shipping production software, with a track record of maintaining it in production.</li><li>
Experience building distributed systems, backend services, or infrastructure platforms with an eye for reliability and performance.</li><li>
Working knowledge of cloud-native technologies: Kubernetes, containerized workloads, service-oriented architectures, and infrastructure-as-code (Terraform, Pulumi, or similar) across AWS, Azure, or GCP.</li><li>
Strong systems fundamentals: API design, backend architecture, performance, and reliability.</li><li>
Strong programming proficiency in Rust or C++, with experience writing performant production grade code.</li><li>
High ownership and bias for action in 0-to-1 environments. You are comfortable making pragmatic trade-offs, operating with incomplete information, and driving work from idea through launch.</li><li>
Excellent communication. You can work directly with customers, discuss trade-offs on the merits, and collaborate closely with a small team.</li></ul><h3 class="jobSectionHeader">
Strong Pluses</h3><ul><li>
Experience building customer-facing, large-scale distributed systems and applications: production software that real users and enterprises depend on.</li><li>
Experience building and deploying solutions across multi-cloud and on-prem environments.</li><li>
Experience with AI/ML infrastructure, including training, inference, or the platforms and pipelines around them.</li><li>
Familiarity with security domains such as identity, access control, key management, or trusted computing.</li><li>
Prior startup or early-stage experience, or a big-company background and strong conviction that it is time for something different.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Founding-team equity with meaningful upside.</li><li>
Competitive cash compensation, calibrated for seed stage.</li><li>
A direct hand in defining the product, the architecture, and the culture.</li><li>
Opportunity to be part of a fast-paced environment that values distinctive expertise, emphasizes ownership along with high standards, and fosters open-minded collaboration with exceptional builders.</li><li>
A founder committed to your growth, and a front-row seat to building a company.</li></ul></div>

Founding Engineer - Full Stack

LVT (LiveView Technologies)

<div><div>ABOUT LVT

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

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

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

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

BENEFITS

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

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

Senior Cloud Engineer

Axon

<div><div><h4 class="jobSectionHeader">Join Axon and be a Force for Good.</h4>

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. 
 
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.</div>
Your Impact 
We're seeking a Cloud Infrastructure Engineer to design, build, and maintain the AWS-based backbone of our drone detection and analytics platform. You'll enable our analysts and agents to deliver actionable insights at scale, ensuring our data pipelines, alerting systems, and compute environments are secure, reliable, and efficient. 
 
You'll work closely with the Decisions and Insights team to operationalize data workflows and automate alerting, applying best practices in DevOps and cloud-native architecture. This is a hands-on engineering role focused on systems that directly support Dedrone's global airspace security mission.

What You'll Do
<ul>
<li>Design, deploy, and manage AWS infrastructure (S3, EC2, Lambda, Fargate, SNS, CloudWatch, IAM, Code Pipelines etc).</li>
<li>Build and maintain data ingestion and processing pipelines, ensuring reliability and scalability.</li>
<li>Set up and monitor notification and alerting systems for data processing and model operations.</li>
<li>Manage Dockerized workloads across Fargate and EC2 for compute-heavy analytics jobs.</li>
<li>Support CI/CD pipelines for model deployment and internal tools.</li>
<li>Optimize cost, performance, and security posture across AWS accounts and services.</li>
<li>Collaborate with DA/DE/DS to operationalize workflows in a cloud-native, automated fashion.</li>
</ul>
What You Bring
<ul>
<li>4+ years of experience managing AWS infrastructure in production environments.</li>
<li>Experience with CDK, Terraform, or CloudFormation for infrastructure as code is a must.</li>
<li>Strong experience with Lambda, Fargate, S3, SNS/SQS, EC2, and CloudWatch.</li>
<li>Hands-on experience with Docker and CI/CD tools.</li>
<li>Solid understanding of Python-based data workflows and microservice design patterns.</li>
<li>Excellent problem-solving and communication skills, with a focus on reliability and automation.</li>
</ul><h4 class="jobSectionHeader">Work Location</h4>

This role is based out of our Seattle, WA Office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You
<ul>
<li>Competitive salary and 401k with employer match</li>
<li>Discretionary paid time off</li>
<li>Paid parental leave for all</li>
<li>Medical, Dental, Vision plans</li>
<li>Fitness Programs</li>
<li>Emotional &amp; Mental Wellness support</li>
<li>Learning &amp; Development programs</li>
<li>And yes, we have snacks in our offices</li>
</ul>
Benefits listed herein may vary depending on the nature of your employment and the location where you work<div>
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent &mdash; regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances &mdash; and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.</div></div>

Software Engineer II, Cloud Engineering

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
AI is transforming software development. The next generation of developer tools and services will leverage AI to significantly increase developer productivity and software quality. AWS is at the forefront of this AI-driven transformation of the software industry. Kiro autonomous agent is a frontier agent that works independently on development tasks, maintaining context and learning from every interaction. 
 
We are looking for an experienced engineer leader to drive the intelligent multi-agent systems augmenting development teams and helping to move forward magnitudes faster. This position presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology and product. A successful candidate will bring deep technical and software expertise, an ability to deliver novel products, ability to hire and lead a team, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact. 
 
Key job responsibilities 
As a Software Development Manager of this team, you will: 
 
Directly hire, retain, and grow top engineering talent, geared towards Agentic AI development 
Be a clear technical voice, working in partnership with your teams to deliver an architecture which will scale with the needs of the AWS business. 
Quickly and reliably deliver high quality technical solutions that will delight our customers 
Meet with customers to learn and help them shape their own tooling story on AWS. 
Work on business strategy to define product roadmaps and execution plans as needed 
Communicate clearly to leadership the risks, successes, and roadblocks as part of your product execution 
 
About the team 
Diverse Experiences 
AWS 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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of engineering team management experience</li><li>7+ years of engineering experience</li><li>8+ years of leading the definition and development of multi tier web services experience</li><li>3+ years of Software Engineer, Software Developer, or related occupational experience</li><li>1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience</li><li>1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience</li><li>1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience</li><li>1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Experience partnering with product or program management teams</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy</li><li>Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers</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 - 184,900.00 - 250,200.00 USD annually</div>

Software Development Manager, Kiro, Kiro

Explore 77+ Software engineer analytics platform in Seattle this July. Find roles across top companies and apply now to boost your career.