backend engineer , data infrastructure Jobs in New York

backend engineer , data infrastructure

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software engineer, cloud infrastructure Jobs in New York

software engineer, cloud infrastructure

infrastructure engineer

Watershed Technology

<div></div><div><div><div><div><div>Location</div><div>
New York City</div></div><div><div>
Type</div><div>
Full-Time</div></div><div><div>
Department</div><div>
Engineering</div></div><div><div>
Compensation</div><div>
$173,900 - $241,500</div></div></div>
</div><div><div><h2 class="jobSectionHeader"><b>
About Watershed</b></h2><p>
Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.</p><p></p><p>
We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us!</p><p></p><h2 class="jobSectionHeader"><b>
The role</b></h2><p>
The Cloud Infrastructure team at Watershed owns foundational capabilities that our product is built upon, as well as many of the tools our engineering teams use to orchestrate workloads and deploy, test, scale, and observe their code in production. We support an application with a quickly growing codebase and build systems that are used by every single engineer at the company. We are looking for team members who love building the enabling systems that empower other engineers to deliver a high quality end-user experience.</p><p>
We&rsquo;re looking for folks with experience managing cloud infrastructure, working through various stages of scale, and helping Engineering be more effective and productive. Specific experience with Google Cloud Platform is desirable, but not strictly required.</p><p>
Some traits that are important to our company culture: customer-obsessed, hard-working, inclusive, and optimistic.</p><p></p><p><b>
You might be a good fit if:</b></p><ul><li><p>
You have 3+ years of engineering experience</p></li><li><p>
You&rsquo;ve worked on Infrastructure or Platform teams, or on significant projects involving infrastructure components (e.g. multi-region architecture, CI/CD, infrastructure as code, kubernetes, release management, observability, cloud security)</p></li><li><p>
You enjoy the challenge of building the appropriate level of tooling for the stage and arc of the company</p></li><li><p>
You enjoy collaborating closely with engineering teams to deliver great customer outcomes</p></li></ul><p></p><p><b>
This role will be located in our San Francisco or New York office.</b></p><p>
</p><p></p><p><b>Must be willing to work from an office 4 days per week (except for remote roles)</b></p><p>
Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.</p><p></p><p><b>
What&rsquo;s the interview process like?</b></p><p>
It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.</p><p></p><p><b>
What if I need accommodations for my interview?</b></p><p>
At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.</p></div></div></div><p></p>

Software engineer, cloud infrastructure

Spotify

<div><div><div><div><div><div>Engineering</div></div></div><div><div>
Backend</div></div></div><p></p><div><div>
New York</div></div><div><div>
Spotify is looking for a Backend Engineer to join our Data Infrastructure engineering organization. You will forge new ground in how we help teams at Spotify build analytics for internal and Music industry facing tools. Our platform enables capabilities that include showing artists how many streams their latest release has to informing internal teams about their cloud resource usage.
</div></div><div></div><div><div><br>
<div>As a part of a platform team, you will help exemplify, measure and raise the reliability of data infrastructure of squads across different verticals within Spotify. You&rsquo;ll work closely with engineers to provide OLAP capabilities to build dynamic, reliable data visualizations and share responsibility with them in diagnosing, resolving, and preventing production issues. We are strong believers in engineering teams taking operational responsibility for their products and work hard to support them in this.</div></div></div></div><div><div><p>
What You'll Do
</p><ul><li>Build, operate, and evolve data analytics platform that includes backend services as well as OLAP data store (Druid) for teams building analytics across Spotify.</li><li>
Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform.</li><li>
Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability.</li><li>
Work in an autonomous, mult-functional environment and collaborate with squads across Spotify to continuously iterate and deliver on new product objectives.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
3+ years of relevant experience with distributed datastores, and backend services.</li><li>
Proficient in Java and excited to learn Kubernetes, Terraform.</li><li>
Understanding of data modeling, dimensional schemas, and analytical query patterns.</li><li>
Experience building internal developer tools, libraries, or shared services that support large engineering organizations.</li><li>
Strong sense of ownership of service quality, SLOs, and operational excellence.
</li><li>Familiar with OLAP databases or analytics warehouses (e.g., Druid, ClickHouse, Pinot, BigQuery, Snowflake). Experience with Druid is a strong plus.</li><li>
Comfort with metrics-driven development and observability stacks (Prometheus, Grafana, similar).
</li><li>You are a good communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners</li><li>
You are deeply curious, and enjoy exploring both technical and organizational problems and domains.</li><li>
You are eager to learn new technologies and to expand your area of expertise</li></ul></div></div><div><div><p>
Where You'll Be
</p><ul><li>This role is based in NYC</li><li>
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $125,562- $179,374 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Backend Engineer , Data Infrastructure

Realign

<div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role- </b>Data Center design Engineer<br>
<b>Location</b>- US Remote<br>
<b>Contract</b></p><div><b>
JD:-</b><br>
<ul><li>Senior-level Data Center infrastructure resource with 5&ndash;7 years of experience in a similar role</li><li>Expertise in Data Center technologies, particularly Cisco Nexus platforms</li><li>Must have experience with Arista and Cisco CCIE &ndash; Data Center (or equivalent experience)</li><li>Strong knowledge of BGP routing protocols</li><li>Proficient in Python; experience with Ansible is considered a plus</li><li>Excellent oral and written communication skills</li><li>Ability to design and implement complex Data Center solutions</li><li>Hands-on experience with network architecture and automation tools</li><li>Capable of troubleshooting and optimizing network performance</li><li>Familiarity with scripting and automation for infrastructure management.</li></ul></div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Data Center design Engineer-4

AlphaX

We’re hiring a Member of Technical Staff (Back-End / Systems) to join a small, deeply technical team building a next-generation platform for large-scale AI and LLM systems.
<br><br>
This role is ideal for an engineer who enjoys working close to the metal, cares deeply about performance and correctness, and wants to build infrastructure that other engineers rely on in production. Much of the work is open source and highly visible.
<br><br>
<b>What You’ll Be Working On:</b><br>
You’ll help build and evolve a modern LLMOps and AI systems platform used by teams ranging from early-stage startups to large enterprises. The platform focuses on:
<br><br>
<ul>
<li>Unified access to LLM providers via low-latency APIs</li>
<li>Observability for AI systems (metrics, traces, debugging tools)</li>
<li>Optimization pipelines for cost, latency, and quality</li>
<li>Evaluation frameworks for individual inferences and end-to-end workflows</li>
<li>Experimentation infrastructure (A/B testing, fallbacks, rollouts)</li>
</ul>
On top of this platform, the team is developing an automated AI engineering system that collaborates with engineers to analyze large volumes of inference data, recommend improvements, run experiments, and prevent regressions — all with full transparency and control.
<br><br>
<b>Requirements:</b><br>
Core Requirements
<br><br>
<ul>
<li>Strong background in back-end and systems engineering</li>
<li>Experience building production systems that prioritize performance, reliability, and correctness</li>
<li>Proficiency with systems programming languages such as Rust, C/C++, or Zig</li>
<li>Comfort owning large technical projects from inception to deployment</li>
</ul>


Back-End Engineering (Systems)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a Software Development Engineer to help build and scale the infrastructure powering our agentic autonomous campaigns. In this role, you will design and implement core components of the agent execution engine, evaluation pipelines, and model tuning infrastructure that enable agents to reason, plan, and act across complex advertiser workflows. You will work closely with senior engineers and applied scientists to translate research prototypes into robust, high-performance production systems. You will need to dive deep into new technologies&mdash;such as LLM deployment frameworks, reinforcement learning infrastructure, and multi-step reasoning orchestration&mdash;and quickly apply them to solve real customer problems. You will own well-defined but often ambiguous technical problems, ensuring your solutions are scalable, reliable, and directly contribute to advertiser-facing products. This role is highly impactful: your contributions will form the backbone of the systems that deliver personalized, context-aware guidance to millions of advertisers. You will collaborate across science, product, and platform teams, and your work will focus on building resilient, observable, and maintainable systems that accelerate innovation in agent-based AI.<br>
<br>
Key job responsibilities<br>
<ul><li>Implement core services and APIs for agent orchestration, tool invocation, and state management.</li><li>Build scalable, reusable data and tool registry</li><li>Build components of evaluation pipelines (offline/online) for measuring reasoning quality, advertiser outcomes, and safety guardrails.</li><li>Develop infrastructure to support fine-tuning and reinforcement learning pipelines, collaborating with scientists to productionize workflows.</li><li>Ensure performance, scalability, observability, and maintainability through strong engineering practices.</li><li>Participate in system design, code reviews, and team architecture discussions.</li><li>Continuously learn and apply new techniques in agentic frameworks, distributed systems, and cloud-native development.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
The Autonomous Campaigns team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
Our vision is to build a highly personalized, context-aware campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience with AI/ML technologies</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer II, Sponsored Products Autonomous Campaigns

MarketAxess Holdings

<div><div><p>Company Description</p><div><div><p>
MarketAxess is on a journey to digitally transform one of the world&rsquo;s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one&rsquo;s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we&rsquo;re going. How we get there is up to us. Join us and help Take Us There.</p></div></div></div><div></div><div><p><b>
The Role</b></p>
<p>
As an Infrastructure Intern, we are seeking a motivated and detail-oriented Infrastructure Intern to join our Infrastructure &amp; Cloud team. This internship offers hands-on experience in managing and supporting enterprise IT systems, including servers, networks, storage, and cloud environments. The intern will work closely with senior engineers to learn best practices in infrastructure design, maintenance, and automation.</p>
<p><b>
How You'll Help Take Us There</b></p>
<ul>
<li>Assist in installation, configuration, and maintenance of hardware and software systems (servers, networks, storage devices).</li>
<li>Support cloud infrastructure tasks, including monitoring and optimization of AWS/Azure environments.</li>
<li>Participate in network troubleshooting, performance monitoring, and documentation updates.</li>
<li>Help implement security measures and compliance standards across infrastructure components.</li>
<li>Contribute to automation initiatives using scripting and Infrastructure-as-Code (IaC) tools.</li>
<li>Perform data backup and recovery tasks, ensuring system reliability.</li>
<li>Collaborate with cross-functional teams on infrastructure projects and service desk escalations.</li>
<li>Document processes, configurations, and troubleshooting steps for knowledge sharing.</li>
</ul>
<p><b>What We&rsquo;re Looking for</b></p>
<ul>
<li>Working towards a degree in Computer Science, Information Technology, or a related field graduating between December 2026 and May 2027.</li>
<li>Basic understanding of networking concepts (TCP/IP, DNS, VPN) and operating systems (Windows/Linux).</li>
<li>Familiarity with cloud platforms (AWS, Azure) and virtualization technologies.</li>
<li>Strong problem-solving skills and ability to work independently or in a team.</li>
<li>Excellent communication and documentation skills.</li>
<li>Ability to manage multiple tasks and adapt to a fast-paced environment.</li>
</ul>
<p>For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is $35.00 USD to $45.00 USD per hour. Actual salary may vary depending on job-related factors, which may include knowledge, skills, experience, and location.</p>
<p>
MarketAxess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying.</p>
<p>
All your information will be kept confidential according to EEO guidelines.</p></div></div>

Infrastructure Intern 2026

Notion

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Notion is looking for talented engineers to help build the next generation of our search infrastructure. This team is responsible for ensuring that all of the content that our users keep in Notion is available for search. You will provide the bedrock of our search and AI functionality by ensuring that our indexing systems and search clusters are comprehensive, instantaneous, and correct.
 <br/>
 <br/>
 <strong>
  What You'll Achieve
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;ll denormalize, preprocess, and index any and every type of Notion comment that our users might find useful.
  </li>
  <li>
   You&rsquo;ll find opportunities up and down the stack to maintain Notion&rsquo;s stunningly quick indexing latency.
  </li>
  <li>
   You&rsquo;ll drive us towards correctness and consistency, ensuring that every change in the application is reflected in our search indices.
  </li>
  <li>
   You&rsquo;ll scale our search infrastructure up and out, owning both the hardware and the configurations of our indices.
  </li>
  <li>
   You&rsquo;ll drive us to a best-in-class position when it comes to user privacy, security, and Enterprise-level features.
  </li>
  <li>
   You&rsquo;ll own our feature-store infrastructure, making it easy for multiple teams to make high-value information quickly and cheaply available.
  </li>
  <li>
   You&rsquo;ll work with product engineers across the organization, consulting on data modeling and ingesting new types of content.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have experience in:
  </li>
  <ul>
   <li>
    backend engineering;
   </li>
   <li>
    data infrastructure;
   </li>
   <li>
    search infrastructure;
   </li>
   <li>
    queueing systems;
   </li>
   <li>
    at-least-once message delivery;
   </li>
   <li>
    multi-stage data pipelines; or
   </li>
   <li>
    distributed systems
   </li>
  </ul>
  <li>
   You have a track record for shipping scalable and reliable user-facing products.
  </li>
  <li>
   You thrive when collaborating cross-functionally &mdash; especially with product, design, infrastructure or data teams.
  </li>
  <li>
   You have a computer science background or equivalent technical experience.
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have experience building full-text search using, e.g: Lucene, Elasticsearch, Solr.
  </li>
  <li>
   You have experience with designing, building and maintaining complex distributed systems.
  </li>
  <li>
   You have experience with large scale data processing technologies, e.g: Spark, Flink, Kafka, Airflow, YARN/Hadoop.
  </li>
  <li>
   You have tuned the throughput of a complex asynchronous system.
  </li>
  <li>
   You have worked at a fast-growing start-up, a SaaS company, or are eager to contribute in such an environment (being a current Notion user would be great!)
  </li>
  <li>
   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
   <br/>
   <br/>
  </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 <br/>
 <br/>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. The estimated base salary range for this role is $180,000 - $280,000 per year.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy and NYLL 144.
 <br/>
 <br/>
</div>


Software Engineer, Search Platform

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