UNKNOWN

FEED

As a Senior Backend Engineer on the Managed Services team, you'll build the control planes, backend services, and automation that provision, operate, and scale Kubernetes and Slurm clusters across our GPU fleet. Lightning AI runs one of the largest AI-native clouds, with 25,000+ H100, B200, and GB300 GPUs powering organizations building, training, and deploying AI at scale.

YEAR

Lightning AI

Senior Backend Engineer, Managed Services

ea_via_bold

Commercial Sales Experiences organization is part of Microsoft Commercial Business (MCB) responsible for all systems and tools to drive Cloud and AI Solutions to help customers realize value for their investments, by supporting Microsoft Field and Corp resources with programmatic and scalable assets. Are you interested in a technology start-up like environment, working with highly energetic teams, and passionate about working on latest technologies (Azure, AI, Microservices, React, Data, Power Platform and related technologies) to solve critical business problems?.

<b>DO WHAT YOU LOVE</b><br />  Make your mark on the world’s most used technologies. Develop the next hit mobile application. Pioneer a startup that could be the next big thing. At Microsoft, you choose your path. <br /><br />  Headquartered in Redmond, Washington, Microsoft is a top innovator in both the consumer and enterprise technology industry. Just a few of the many things our products do are unleash creativity, connect businesses, and make learning more fun. But our continued success is based on one thing: our employees. We hire amazing, talented people and give them the opportunities—and the tools—to succeed.  <br /><br /> <strong>WHY MICROSOFT?</strong> <br />  As a Microsoft employee, you’re surrounded by a diverse group of the smartest people in your field. This fosters new ideas, better business results, and creates a dynamic work environment. In the office, you’re constantly challenged and supported by your colleagues. Every day holds something new and exciting.  <br /><br />  We also offer unparalleled depth and breadth of career opportunities. As an industry leader in multiple fields, working for Microsoft means being able to do whatever you feel passionate about—and being able to make an impact in that field. From day one, we give our employees significant responsibility. This means that you’ll know that you directly contributed to something that has a positive impact on people worldwide. Whether you choose to work in management, dive deep into the newest technology, or explore multiple professions, you’ll find everything you need at Microsoft to drive your career—and to make a difference. <br /><br /> <strong>WE GET IT – YOU’RE MORE THAN YOUR JOB</strong> <br />  Everyone works differently and is motivated by different things. We also understand that there’s more to you than your job. That’s why we offer competitive pay and a wide assortment of benefits-- to help you make the most of life at work and away from it. <br /><br /> <strong>GET THE BALL ROLLING</strong><br />

Microsoft Corp

Software Engineer

As a Senior Backend Engineer on the Managed Services team, you''ll build the control planes, backend services, and automation that provision, operate, and scale Kubernetes and Slurm clusters across our GPU fleet. Lightning AI runs one of the largest AI-native clouds, with 25,000+ H100, B200, and GB300 GPUs powering organizations building, training, and deploying AI at scale.

Senior Backend Engineer, Managed Kubernetes & Slurm

Data Engineering & System Integrations: SQL proficiency; experience building system integrations connecting AI solutions to enterprise data sources (CRM, ticketing, ERP, billing); able to build lightweight ETL/ELT pipelines and instrument systems with basic logging. Stakeholder Translation: Ability to move fluidly between technical implementation and business communication, converting engineering tradeoffs into plain-language impact narratives for BU managers, and converting vague business asks into precise engineering requirements.

T-Mobile USA

Forward Deployment Engineer

T-Mobile US Inc

Support the full project lifecycle for highly scalable and reliable services running in a cloud environment – discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide.

Upbound - Job Posting

Senior Software Engineer

GreenHouseAPI

Our charter is Amazon ElastiCache - an AWS service that enables customers to deploy, manage, and massively scale in-memory distributed data stores using open-source technologies like Redis and Memcached. Your core responsibilities will include: Designing and building the next-generation in-memory NoSQL database platform, enabling developers to create highly available, scalable, and high-performance applications at unprecedented scale.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. <br><br>
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. <br><br>
<strong>It’s Always Day 1</strong> <br>
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> <br><br> 
<strong>Our Leadership Principles</strong><br>
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Software Development Engineer, ElastiCache

Collaborating closely with UX designers, product managers, and cross-functional engineering teams, you will solve real business problems with a high degree of autonomy across high-throughput locations, aviation, and fleet management to deliver frictionless experiences for millions of everyday users. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment.

Metropolis Technologies, Inc.

Senior Software Engineer, Visit Experience

This role can be broken down into two concrete areas of responsibility: As the subject matter expert, (SME), you will use Phaidra's products and your knowledge of the customers' needs to create a model of the facility for ingestion by our product lineup. Example disciplines include Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics and other various engineering and applied science fields.

Phaidra

Senior AI Controls Solutions Engineer (HVAC Systems)

You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Anthropic

Staff+ Software Engineer, Product Sandboxing

In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Software Engineer, Labs

You’ll be hands-on in building the early platform, working directly with customers and users, and helping turn product concepts and front-end components into a scalable, enterprise-ready application. Our early-stage startup client is building a modern technology platform designed to bring greater transparency, reliability, and efficiency to complex global supply chains.

JeffreyM Consulting

BS or MS in CS or equivalent 5+ years of industry experience Deep understanding of core CS concepts including data structures, algorithms, and concurrent programming Proficiency in one or more programming languages such as Java, Scala, Go, or Python Experience designing, implementing, and operating highly scalable infrastructure services in production Deep understanding and work experience in distributed systems Hands-on experience building automation and tooling for deployment, orchestration, and operations at scale Strong attention to detail, excellent analytical capabilities, and a bias toward reducing operational toil Passion for developing clear, robust, and maintainable software and systemsExperience building control plane or fleet management tooling for stateful/data systems in production Strong DevOps skillset: CI/CD pipelines, infrastructure as code (e.g. Terraform), configuration management, and GitOps workflows Hands-on experience with container orchestration and scheduling (Kubernetes, operators, custom controllers) Familiarity with time series database internals and the operational challenges of running them at scale Experience with Observability solutions using OpenTelemetry, Prometheus, Grafana Experience with columnar storage systems and/or building query engines is a plus Experience building high performant systems in Rust is a plus Comfortable wearing multiple hats, moving between operational tooling and core product/feature development Great communication skills.

<div class="col-md-4 passion" style="background-color: #666666; border-radius: 20px; -webkit-box-shadow: 2px 2px 2px 2px #979b91; -moz-box-shadow: 2px 2px 2px 2px #979b91; box-shadow: 2px 2px 2px 2px #979b91; color: #ffffff; font-family: calibri; font-size: 13px; padding: 17px; text-align: center;">
<h3 style="color: #ffffff; font-size: 16px; font-weight: normal;">We bring amazing people together to make amazing things happen.</h3>
<p>We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.</p>
</div>
<div class="col-md-7 about1" style="color: #666666; font-family: Calibri; font-size: 15px !important; padding: 17px 0 17px 27px;">
<h3 style="color: #666666; font-weight: 500;">About Apple</h3>
<p>There’s a place here for every kind of brilliant.
Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own.

<a href="https://www.apple.com/jobs/us">Learn more about working at Apple.</a>
</p>
</div>

Apple Inc

Software Engineer - Observability

BRINC serves more than 1,000 public safety customers across all 50 states, is the sole drone supplier to Motorola Solutions, and has raised more than $280 million from leading strategic and technology investors, including Motorola Solutions, Index Ventures, Sam Altman, Dylan Field, and others. Today, BRINC deploys Drone as First Responder (DFR) networks that dispatch drones directly to 911 calls, providing real-time aerial intelligence before ground units arrive and helping first responders make faster, safer decisions.

BRINC

Fullstack Software Engineer, Liveops

This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Software Engineer, Sandboxing

As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it's running on. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan.

Principal Engineer Capacity/Compute

FULL_TIME

Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar); Working knowledge of PSTN infrastructure and telecom protocols; Experience integrating applications on top of LLMs (using existing models, not building them); Experience in prompt engineering and developing LLM based features . Collaborate with engineering, Product, and infrastructure teams to ensure our voice and AI platforms perform efficiently, scale reliably, and integrate seamlessly across SIP/RTP, Kamailio, RTPEngine, and related telecom systems.

ServiceNow

Staff Machine Learning Engineer - VoIP Infrastructure

SmartRecruiters_Organic_Non_Easy_Apply

Ship full-stack product features with end to end ownership : React/TypeScript UI in Fiber micro-frontends, data integration via GraphQL and analytics APIs, and close partnership with data/platform engineers on metrics definitions and data correctness. Deep frontend expertise in React and TypeScript : component architecture, hooks, state management, data fetching (React Query, Apollo/GraphQL), and building accessible, performant data-heavy UIs.

ATOMS

You will partner with cross-functional teams to change how hundreds of millions of people use their computers and mobile devices to search and provide users with results that best satisfy their information seeking needs.degree in Computer Science, Machine Learning, or related field with 2+ years of industry experience building production ML/AI systems, OR PhD degree in a related field Proficiency in mainstream programming languages such as Python, Scala, and Go Experience building and maintaining large-scale data systems, knowledge graphs, and end-to-end ML pipelines in production, ideally using the Apache software stack (e.g., Spark) Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow in production environments Experience with natural language processing, statistical data analysis, and model evaluation methodologies Demonstrated ability to collaborate with cross-functional teams including product, engineering, and data science Experience with CI/CD pipelines, model deployment, and monitoring solutionsMS degree with 6+ years of industry experience building and scaling ML/AI systems, OR PhD degree with 3+ years of industry experience in production ML environments Proven track record designing, deploying, and maintaining large-scale distributed ML systems serving millions of QPS (queries per second) Experience with A/B testing, experimentation frameworks, and data-driven product iteration at scale Experience designing human-in-the-loop evaluation pipelines and leveraging user feedback to improve model performance Hands-on experience with LLM deployment, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or other generative AI technologies in production Experience building model monitoring, observability, and quality assurance systems for production ML services Experience optimizing ML systems for latency, throughput, and cost at scale Track record of shipping ML-powered features that measurably improved user experience for consumer-facing products Strong product intuition and ability to translate business requirements into technical solutions. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning and deep learning systems over graph data and web documents.

Machine Learning Engineer, Apple Search & Knowledge Platforms

In this role, you will lead the evolution of high-volume edge-to-cloud pipelines and decisioning systems that transform physical-world sensor signals into real-time actions, setting technical direction, establishing architectural RFCs, and driving cross-functional alignment without needing formal reporting authority. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical.

Build Engineer Jobs in Everett, WA

Senior Backend Engineer, Managed Services Lightning AI

Software Engineer Microsoft Corp

Senior Backend Engineer, Managed Kubernetes & Slurm Lightning AI

Forward Deployment Engineer T-Mobile USA

Forward Deployment Engineer T-Mobile US Inc

Senior Software Engineer Upbound - Job Posting

Software Development Engineer, ElastiCache Amazon.com Inc

Senior Software Engineer, Visit Experience Metropolis Technologies, Inc.

Senior AI Controls Solutions Engineer (HVAC Systems) Phaidra

Staff+ Software Engineer, Product Sandboxing Anthropic

Software Engineer, Labs Anthropic

Software Engineer JeffreyM Consulting

Software Engineer - Observability Apple Inc

Fullstack Software Engineer, Liveops BRINC

Software Engineer, Sandboxing Anthropic

Principal Engineer Capacity/Compute Anthropic

Staff Machine Learning Engineer - VoIP Infrastructure ServiceNow

Senior Software Engineer ATOMS

Machine Learning Engineer, Apple Search & Knowledge Platforms Apple Inc

Senior Staff Software Engineer, Recognition Platform Metropolis

Similar Job Searches

See More Jobs

Stand out to leading employers.