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distributed systems engineer

Bloomberg

<div><div><div><div><div><div>Senior Software Engineer - Core Communications Reliability
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10050729
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div>Bloomberg&rsquo;s Core Communications platforms power real-time messaging across the global financial industry. Systems like Instant Bloomberg (IB) and MSG handle billions of messages daily, supporting time-sensitive conversations where reliability and latency directly impact trading and decision making.<br>
</div><div></div><br>
<div>We are looking for software engineers to help improve the reliability of these systems at scale. This role focuses on building tools, improving system design, and ensuring our platforms behave predictably under load and failure.<br>
</div><div></div><br>
<br>
<div><b>What you&rsquo;ll work on:</b></div><div></div><div><br>
</div>
<div>You will work on large-scale distributed systems with high availability and low latency requirements. Our goal is to reduce friction for product engineers, improve system reliability, and provide confidence in how our platforms behave under real-world conditions.<br>
</div><div></div><br>
<br>
<div><b>You will:</b></div><div><br>
</div>
<div><ul><li>Build tools and automation to improve how our distributed systems are operated and debugged
</li><li>Defining and implementing service level objectives (SLOs) that reflect real user impact
</li><li>Identify and continuously assess reliability risks across services, infrastructure, and workflows, helping teams prioritize work based on real impact
</li><li>Improve development and deployment workflows, driving more consistent and reliable paths to production
</li><li>Reduce time to recovery and triage effort by improving diagnostics, alerting, and system-level visibility
</li><li>Design and validate failure scenarios and resilience testing practices, ensuring systems behave predictably under stress
</li>You will collaborate closely with software engineers and product teams to influence how systems are designed, built, and operated.<br>
<li>
</li></ul></div><div></div><br>
<div><b>Why this role:</b></div><div><br>
</div>
<div><ul><li>Work on systems operating at very high scale, with billions of messages processed daily
</li><li>Tackle complex distributed systems challenges involving latency, consistency, and failure handling
</li><li>Build tooling and frameworks used across multiple teams
</li>Have direct impact on systems relied upon by the global financial industry<br>
<li>
</li></ul></div><div></div><br>
<div><b>What we&rsquo;re looking for:</b></div><div><br>
</div>
<div><ul><li>4+ years of experience in software engineering
</li><li>Proficiency in Python</li>
<li>Experience working with distributed systems
</li><li>Strong Understanding of system reliability, observability, and performance
</li><li>Familiarity with SLOs, SLIs, and SLAs, and how to relate system performance back to client impact.
</li><li>Strong collaboration and communication skills
</li>A degree in Computer Science, Engineering, or equivalent practical experience.<br>
<li>
</li></ul></div><div></div><br>
<div><b>We would love to see:</b></div><div><br>
</div>
<div><ul><li>Experience with monitoring or tracing tools such as Grafana, Humio, distributed tracing
</li><li>Familiarity with Kafka, Java, or large-scale data systems
</li><li>Experience with chaos engineering, failure injection, or resilience testing frameworks.
</li><li>Exposure to capacity planning and scaling analysis.
</li><li>Contributions to open source or involvement in SRE communities.
</li><li>Experience with big data technologies like Apache Spark, Amazon S3</li>
</ul></div></div></div><div></div><div><div><div>Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Software Engineer - Core Communications Reliability

mLabs

<div><p><b>Location: </b>Remote - Must have a 6 hour overlap with EST</p><p><b>
Remote | Full-time</b></p><p><b>
Compensation: $80K - $175K</b></p><p></p><p>
We are hiring on behalf of our client who is a technical infrastructure firm specializing in the delivery of massive-scale web data to organizations developing advanced artificial intelligence models. The organization supports high-capacity bandwidth-sharing networks and operates a distributed crawler capable of accessing high-quality public web data at a global scale. Additionally, the team has engineered sophisticated pipelines for the ingestion, segmentation, and annotation of billions of multimedia files, facilitating dataset creation for frontier research labs.</p><p></p><p>
The organization operates as a lean, technical team that prioritizes speed and direct execution. As a <b>Research Crawling Engineer</b>, the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on providing high-quality inputs for research and model development.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Construct and maintain large-scale web crawlers across diverse domains.</li><li>
Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from millions to billions of URLs per day.</li><li>
Navigate anti-bot systems, rate limits, and dynamic, JavaScript-heavy websites.</li><li>
Develop robust pipelines for data cleaning, deduplication, filtering, and normalization.</li><li>
Build and maintain datasets specifically structured for research and machine learning model training.</li><li>
Monitor and optimize crawl performance, coverage, and data quality through rapid iteration.</li><li>
Collaborate with research teams to ensure data collection efforts align with modeling requirements.</li><li>
Optimize infrastructure to ensure cost-efficiency, low latency, and reliability.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Extensive programming experience in one or more of the following: <b>Go, Rust, Python, Java, or C++</b>.</li><li>
Proven experience in building web crawlers or large-scale data pipelines.</li><li>
Solid understanding of HTTP, networking protocols, and browser behavior.</li><li>
Familiarity with distributed systems and parallel processing techniques.</li><li>
Experience handling large datasets, ideally at the <b>terabyte to petabyte scale</b>.</li><li>
Demonstrated ability to debug and maintain systems within unstable or adversarial environments.</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience with NLP pipelines or dataset curation for machine learning.</li><li>
Familiarity with LLM pre-training data or retrieval systems.</li><li>
Practical experience with headless browsers (e.g., Playwright, Puppeteer, or Chrome DevTools Protocol).</li><li>
Knowledge of proxy systems, IP rotation, and large-scale request orchestration.</li><li>
Background in data quality evaluation or benchmarking.</li><li>
Experience running workloads on cloud or bare-metal infrastructure.</li></ul><br>
<b>
Benefits</b><br>
<ul><li><b>
Impactful Opportunity:</b> Contribute to the development of a web-scale crawler and knowledge graph at the forefront of AI data accessibility.</li><li><b>
High-Performance Culture:</b> Join a lean, low-ego team that prioritizes high output and professional growth.</li><li><b>
Remote Work:</b> This position is part of a fully remote team, offering flexibility and autonomy.</li><li><b>
Competitive Compensation:</b> A package including a competitive salary, comprehensive benefits, and equity, commensurate with experience and the ability to operate at scale.</li></ul><p>
﻿</p><p><b>
Interview Process</b></p><ul><li><b>
Recruiter Coordination Call</b></li><li><b>
Hiring Manager Interview</b></li><li><b>
Founder / CEO Interview</b></li><li><b>
Secondary Executive Interview</b></li><li><b>
Final Interview</b></li></ul><p></p><p><br>
</p><p></p><p><b>Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.</b></p><p><b>
Commitment to Equality and Accessibility:</b></p><p>
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.</p><p></p><p>
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd&rsquo;s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.</p></div><p></p>

Research Crawling Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorganChase within Consumer and Community Banking, you&rsquo;ll be a key technical leader on an agile team building secure, stable, scalable back-end platforms. You&rsquo;ll shape designs, write production code, and guide delivery across teams to solve meaningful business problems with modern engineering practices.</p><p><b>
Job responsibilities</b></p><ul><li>
Lead the design and delivery of distributed, event-driven back-end services (Java, Kafka, AWS), from concept through production support</li><li>
Set architecture direction and standards for scalability, reliability, and observability across services</li><li>
Partner with product, architecture, and platform teams to turn requirements into resilient designs and executable roadmaps</li><li>
Raise engineering quality through strong CI/CD, automated testing, code reviews, and operational readiness (SLIs/SLOs, on-call)</li><li>
Own production operations for critical services (monitoring, incident response, root-cause analysis, and continuous improvement)</li><li>
Drive data modeling and API design for high-throughput, low-latency systems, including backward compatibility and schema evolution</li><li><p>
Mentor engineers through design reviews, pair programming, coaching, and technical guidance</p><p>
</p></li></ul><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Expert proficiency in Java (Java 17+), including concurrency, collections, and performance tuning/profiling</li><li>
Hands-on experience building and operating distributed systems with Apache Kafka (e.g., partitions/consumer groups, exactly-once semantics, schema management)</li><li>
Strong AWS experience and infrastructure-as-code (e.g., ECS/EKS, Lambda, API Gateway, RDS, S3, KMS, IAM, CloudWatch; Terraform or CloudFormation)</li><li>
Strong grasp of event-driven and microservices architecture, REST APIs, and asynchronous messaging patterns</li><li>
Proven experience implementing CI/CD, automated testing, and safe deployment strategies (e.g., blue/green or canary)</li><li>
Solid reliability and observability fundamentals (e.g., retries/idempotency/timeouts; logs/metrics/tracing)</li><li>
Experience leading projects/teams, setting technical direction, and delivering complex production systems</li><li>
Experience working in Agile/Scrum (or similar)</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
End-to-end delivery experience from scope through launch, including cross-team coordination</li><li>
Experience with Spring Boot/Spring Cloud, Micrometer, and reactive programming (Project Reactor)</li><li>
Familiarity with modern security practices (OAuth2/OIDC, mTLS, secrets management, least-privilege IAM, threat modeling)</li><li>
Experience with high-throughput systems and stream processing (Kafka Streams and/or Spark), including exactly-once patterns</li><li>
Exposure to DDD and modern architecture patterns (hexagonal/clean architecture)</li><li>
Hands-on use of observability/production tooling (e.g., Splunk, Dynatrace, Grafana)</li></ul><p>
</p><b>ABOUT US</b><p><br>
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>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.
</p><p></p><p>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.</p><p></p><p>
Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Lead Software Engineer - Java/AWS/Kafka

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorganChase within the Consumer and Community Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
We are seeking an experienced Java Distributed Systems Engineer to design, build, and operate highly scalable, resilient, and cloud-native backend systems. The role involves working on modern databases, Spring Boot&ndash;based microservices, and cloud infrastructure, with a strong emphasis on non-functional aspects.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Executes creative 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>
Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li><li>
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li><div>
Formal training or certification on software engineering concepts and 5+ years applied experience</div></li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Advanced in Java programming language</li><li>
Proficiency in automation and continuous delivery methods</li><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Experience designing, deploying, and managing containerized applications using Kubernetes</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Practical AWS experience</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li><div>
Co-Pilot skills</div></li><li><div>
AWS solution architect certification</div></li><li><div>
Familiarity with Springboot</div></li></ul>
<b>ABOUT US</b><p><br>
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>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.
</p><p></p><p>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.</p><p></p><p>
Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Lead Software Engineer-Agentic/Java

<div><div><div><div><div><div>Senior Software Engineer - Application Middleware Connectivity
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10050721
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div>We are the engineering team responsible for the infrastructure products directing Bloomberg customers across the globe to their optimal nearest Bloomberg network locations to access news and market data. We provide a platform for all the application teams within Bloomberg that have global connectivity needs to easily integrate with us and direct their applications to the closest network locations. Our platform shields the application teams from knowing any details regarding network topology or resource availability and offers superior connection resiliency &amp; visibility. Our platform provides options for clients to connect to a diverse set of network locations to withstand any connectivity-related outages without compromising on latency. Our team owns the critical connectivity infrastructure piece which is the core of our platform that directs all of our clients to Bloomberg. We are a highly visible team and work with a wide variety of groups within Bloomberg.<br>
</div><div></div><br>
<div>We are currently tasked with a major re-architecture project to make our product offering self-serviceable. We are looking for team members with strong background in system design combined with superior skills in software development. As a member of our team, you will be tasked with developing full-stack software solutions that have a wide impact across all our customer base. You will collaborate extensively within the team and with our partners within Bloomberg to provide solutions that are meeting client&rsquo;s needs and to deliver new features that support our key initiatives. We are currently modernizing our platform, and this is a great opportunity for you to design, develop and build solutions from the ground up. You&rsquo;ll be empowered to influence the architecture of a mission-critical platform and gain exposure to large-scale distributed systems.<br>
</div><div></div><br>
<div><b>Tech Stack:
</b></div><div><ul><li>Linux, C++, Python, PostgreSQL, Kafka, Javascript/Typescript, Docker and Kubernetes
</li></ul></div><div><b>You will need to have:</b></div>
<div><ul><li>4+ years of professional software development experience
</li><li>A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work
</li><li>Demonstrated experience building enterprise applications with an object-oriented programming language (C++)
</li><li>Demonstrated experience with SQL and relational databases
</li><li>Terrific communication &amp; collaborative skills
</li></ul></div><div><b>We would love to see:
</b></div><div><ul><li>Full stack experience
</li><li>Experience building distributed applications
</li><li>Professional experience in automated testing, CI/CD and all SDLC phases
</li><li>Familiarity with User interface (UI) design</li>
</ul></div></div></div><div></div><div><div><div>Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Software Engineer - Application Middleware Connectivity

Dagster Labs

<div>
 <strong>
  About us
  <br/>
  <br/>
 </strong>
 At
 <strong>
  Dagster Labs
 </strong>
 , our mission is simple but ambitious:
 <strong>
  to empower every organization to build a productive, scalable data platform.
 </strong>
 We're the brains behind
 <strong>
  Dagster
 </strong>
 , the open-source tool developers love, and
 <strong>
  Dagster+
 </strong>
 , our managed cloud. From scrappy startups to global enterprises, thousands of teams trust us to power the data behind their analytics, machine learning, and AI breakthroughs.
 <br/>
 <br/>
 We believe the AI era runs on reliable, high-quality data. That's why we make data platforms easier to test, easier to understand, and actually enjoyable to use. Dagster is quickly becoming the backbone of how the world builds intelligent systems, and the best AI companies are built on top of Dagster.
 <br/>
 <br/>
 We're a small, well-funded team with big energy and a track record of shipping software people rave about. We aim high and work as a team, holding ourselves to the highest standards and trusting eachother to deliver. We care about how we work together: no egos, no drama, just a lot of curiosity and a drive to make something meaningful.
 <br/>
 <br/>
 If you want to help shape the
 <strong>
  future of data and AI
 </strong>
 and have fun doing it, come build with us.
 <br/>
 <br/>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 Dagster is an orchestration platform for the development, production, and observation of data assets. Our goal is to make Dagster Cloud the de facto hosted solution for structuring these systems. As a member of the Platform Engineering Team, you will help advance the foundations of our Dagster+ product by evolving our Platform API and the systems that underpin it. The Platform Team tackles some of the most complex engineering challenges at the company, spanning a wide range of domains from CI/CD systems to database performance, deep Python internals, and infrastructure primitives. This is fundamentally a
 <strong>
  software engineering
 </strong>
 role: you will collaborate with other engineers to design and build scalable systems that power Dagster Cloud, with a strong emphasis on writing high-quality code. While operational excellence is critical to our work, we are looking for engineers who approach platform problems with a builder's mindset, not a purely operational one.
 <br/>
 <br/>
 This is a full-time position offering competitive salary, equity, and benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We're open to hiring fully remote candidates who are currently authorized to work within the United States. We offer flexible remote work options so you can choose the environment that makes you most productive&mdash;whether that's your home or a coworking space. Dagster Labs fosters a collaborative, remote-first culture, ensuring you have all the tools and support needed to thrive, no matter where you are.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and optimize core backend systems and infrastructure components.
  </li>
  <li>
   Enhance efficiency, scalability, and stability of critical system resources through analysis and refinement.
  </li>
  <li>
   Partner with cross-functional teams to align on product development needs and deliver impactful solutions.
  </li>
  <li>
   Review designs and code to maintain high standards of quality and performance across the team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must-have Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of relevant software development experience
  </li>
  <li>
   Expertise in the full software development lifecycle, from scoping and planning to delivery and iteration
  </li>
  <li>
   Strong command of software system design, including scalability, third party integrations, and API design
  </li>
  <li>
   Fluent in Python
  </li>
  <li>
   Strong written and oral communication skills
  </li>
  <li>
   Experience in a high-functioning engineering organization working on large-scale distributed systems or B2B SaaS applications
  </li>
  <li>
   Proven effectiveness at contributing to and executing as part of a team
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-have Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with a wide range of modern infrastructure tools and technologies
  </li>
  <li>
   Experience with using or supporting tools in the Modern Data Stack
  </li>
  <li>
   Experience building and scaling services built on Amazon Web Services, Kubernetes, &amp; Postgres
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You belong here
  <br/>
  <br/>
 </strong>
 We are committed to building an inclusive team and an open-source community where no one feels out of place. We know that teams with diverse backgrounds state their assumptions more explicitly, think more rigorously, and build better software. Plus it's more fun and interesting to work with a wide variety of perspectives.
 <br/>
 <br/>
 You should apply to work at Dagster Labs if you want to work in, and help to build and strengthen, a high-performing software development environment where people of all backgrounds are welcome.
 <br/>
 <br/>
 <strong>
  Our Stack
  <br/>
  <br/>
 </strong>
 Dagster is built in
 <strong>
  Python
 </strong>
 and
 <strong>
  TypeScript
 </strong>
 , and runs seamlessly across macOS, Linux, and Windows. Our frontend is powered by
 <strong>
  React
 </strong>
 and
 <strong>
  GraphQL
 </strong>
 , delivering a modern, intuitive developer experience. We value engineers who are comfortable working across the stack and making thoughtful contributions.
 <br/>
 <br/>
 <em>
  The estimated cash salary for this role is $190,000 to $230,000.
  <br/>
  <br/>
 </em>
 <strong>
  Other Resources
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The launch of Dagster blog post
  </li>
  <li>
   Launching Dagster Cloud to GA blog post
  </li>
  <li>
   Dagster Day 2022 video playlist
  </li>
  <li>
   Our latest major release
  </li>
  <li>
   Software-Defined Assets blog post, Data Council talk, and animated explainer
  </li>
  <li>
   Our latest episode on the Data Engineering Podcast
  </li>
  <li>
   Our philosophy on code reviews
   <br/>
   <br/>
  </li>
 </ul>
 No recruiters please.
</div>


Software Engineer - Platform

X Development

<div><div><div><div><p>Software EngineeringNew York, NY</p>
</div>
</div></div><div><div><div><p><b>About Tapestry</b></p>
<p>
Tapestry is Alphabet&rsquo;s moonshot for the electric grid, working at the frontier where energy&rsquo;s complexity meets AI&rsquo;s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.</p>
<p>
To keep pace with humanity&rsquo;s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently&mdash;ensuring electricity remains reliable and affordable for everyone.</p>
<p>
This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.
</p><p>Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design&mdash;all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.</p>
<p><b>
About the role</b></p>
<p>
We are looking for a technical heavyweight to serve as a founding pillar of Tapestry&rsquo;s new NYC Engineering Hub. As the Engineering Manager for the Data Platform team, you will lead the evolution of our Agentic Data Platform&mdash;the engine that transforms raw grid data, drone imagery, and street-level perception into a high fidelity digital replica of the world&rsquo;s electricity networks. You will lead teams through ambiguous charters, ensuring our data infrastructure isn't just a repository, but an active, intelligent participant in solving grid complexity.</p>
<p><b>
How you will make 10X Impact</b></p>
<ul>
<li><b>Architect Autonomous Systems:</b> Lead the design of an &quot;agentic&quot; platform that automates LLM based data discovery, metadata enrichment, and governance, spanning the breadth of Tapestry&rsquo;s multimodal data stack.</li>
<li><b>Take models from prototype to production:</b> Partner with the Machine Learning team to bridge the gap between core algorithms and scalable systems, ensuring seamless integration of cutting-edge models into the agentic platform to maximize 10x output.</li>
<li><b>Code-Level Leadership:</b> Remain &quot;dangerously&quot; technical. You will own high-stakes design reviews, mentor senior ICs, and ensure our production deployments meet Google-scale reliability standards.</li>
<li><b>Build the Hub: </b>As a site anchor in NYC, you will play a critical role in hiring, mentoring, and establishing the engineering culture for a rapidly growing team.</li>
</ul>
<p><b>What you should have:</b></p>
<ul>
<li><b>Experience</b>: 8+ years in data engineering, backend infrastructure, or distributed systems, with at least 2+ years in formal people management or high-impact tech-lead roles.</li>
<li><b>Architectural Depth</b>: Proven track record of building scalable platforms that handle multimodal data (structured grid data + unstructured imagery/spatial data).</li>
<li><b>Operational Excellence</b>: Deep understanding of data governance, multi-tenancy, and &quot;data-as-a-product&quot; philosophies in a production environment.</li>
<li><b>Communication</b>: The ability to translate high-level &quot;moonshot&quot; ambiguity into concrete technical roadmaps for your team and stakeholders.</li>
</ul>
<p><b>It&rsquo;d be great if you also had:</b></p>
<ul>
<li>PhD in Computer Science or a related quantitative field.</li>
<li>Prior experience in a &quot;zero-to-one&quot; environment or building out a new geographic engineering site.</li>
<li>Experience building LLM-orchestrated data pipelines or autonomous agent frameworks.</li>
<li>Background in geospatial data or physical system modeling.</li>
<li>A passion for using data to create a future with reliable, affordable and clean energy for everyone.</li>
</ul>
<p><b>Our values</b></p>
<ul>
<li><b>Take charge:</b> We take initiative and own outcomes that move the mission forward.</li>
<li><b>Transform with purpose:</b> We build solutions that solve real problems and create meaningful impact.</li>
<li><b>Be a Tapestry, not a thread: </b>We collaborate across diverse skills and perspectives to achieve more than we can individually.</li>
<li><b>Always fine-tune:</b> We stay curious, seek feedback, and refine our understanding as we learn.</li>
<li><b>Stay grounded:</b> We listen openly, value different perspectives, and stay focused on what matters most.</li>
</ul>
<p><b>What we offer</b></p>
<p>
A culture that supports growth, ownership, and meaningful impact, along with:</p>
<ul>
<li>Competitive salary and equity</li>
<li>Medical, dental, and vision coverage</li>
<li>Generous PTO and flexible hybrid work model</li>
<li>401(k) with employer contribution</li>
<li>Professional development</li>
<li>The ability to work on important real-world problems within an Alphabet-backed environment</li>
</ul>
<p>The US base salary range for this full-time position is $201,000 - $265,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.</p>
<p>
</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>An Equal Opportunity Workplace</b></h2>
<p>
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p>
<p>
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team.</p></div></div></div>

Engineering Manager, Agentic Data Platform (Tapestry)

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