software engineer

data engineer

ai engineer

ai engineer ii

backend engineer

distributed systems engineer

Elliptic

<div><p><b>Do you want to help define the future of finance?</b></p><p>
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?</p><p>
We're looking for a Senior Software Engineer to join Elliptic's Product-Engineering organisation, focusing on data engineering solutions that power our blockchain analytics and intelligence products. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.</p><p>
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.</p><h2 class="jobSectionHeader"><b><br>
The impact you will have</b></h2><p>
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact.</p><p>
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.</p><h2 class="jobSectionHeader"><b><br>
What you will do</b></h2><ul><li><p>
Write, ship, and maintain production code as a hands-on engineer.</p></li><li><p>
Architect, design, and implement large-scale distributed data systems and pipelines.</p></li><li><p>
Contribute to technical decision-making across batch and streaming data solutions.</p></li><li><p>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</p></li><li><p>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</p></li><li><p>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</p></li><li><p>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</p></li><li><p>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</p></li><li><p>
Help shape the technical roadmap for data engineering across Elliptic.</p></li><li><p>
Leverage and deploy AI and agentic systems to operate more effectively.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Tech environment</b></h2><p><b>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming</b></p><h2 class="jobSectionHeader"><b>
You will thrive here if you</b></h2><ul><li><p>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</p></li><li><p>
Strive for engineering excellence and scalable, sustainable systems.</p></li><li><p>
Use data and experimentation to guide decisions.</p></li><li><p>
Communicate openly and collaborate across teams.</p></li><li><p>
Support and coach less-experienced engineers.</p></li><li><p>
Believe every challenge is an opportunity to simplify and innovate together.</p></li><li><p>
Enjoy working with AI to benefit the company, your team and yourself.</p></li></ul><h2 class="jobSectionHeader"><b><br>
What we are looking for</b></h2><ul><li><p><b>
Hands-on production experience with Scala and functional programming.</b></p></li><li><p>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</p></li><li><p>
Hands-on experience with big data frameworks such as Spark or Databricks.</p></li><li><p>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</p></li><li><p>
Judgement to balance scalability, performance, and maintainability.</p></li><li><p>
Experience with data modelling and workflow orchestration.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Bonus points for</b></h2><ul><li><p>
Experience in stream processing frameworks and event-driven architecture.</p></li><li><p>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</p></li><li><p>
Experience working in containerised environments (Docker, Kubernetes).</p></li><li><p>
Interest in AI-driven tooling for engineering workflows.</p></li><li><p>
Interest in crypto and blockchain technologies.</p></li></ul><p></p><p><b>
How we work:</b></p><ul><li><p><b>
Hybrid working:</b> The option to work from almost anywhere for up to 90 days per year.</p></li><li><p><b>
Remote Work Budget:</b> $650 budget to set up your home office space.</p></li></ul><p><b>
Learning &amp; Development:</b></p><ul><li><p><b>
L&amp;D Budget:</b> $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</p></li></ul><p><b>
Vacation / Leave:</b></p><ul><li><p><b>
Holidays:</b> 25 days of annual leave + US Public Holidays.</p></li><li><p><b>
Birthday Leave:</b> An extra day off for your birthday.</p></li><li><p><b>
Enhanced Parental Leave:</b> We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</p></li></ul><p><b>
Benefits:</b></p><ul><li><p><b>
Healthcare:</b> Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.</p></li><li><p><b>
401k:</b> Company match included.</p></li><li><p><b>
Mental Health:</b> Full access to <b>Spill</b> mental health support.</p></li></ul><p><br>
<br>
We know Diversity and Inclusion is much deeper than just hiring, but it&rsquo;s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don&rsquo;t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.<br>
<br>
No recruitment agencies please!</p><p>
Compensation Range: $165K - $305K</p></div>

Senior Software Engineer - Data

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.<br>
</li>
<li>3 years of experience with developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in computer science or related technical field.</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>Experience in cloud computing, including one or more of the following: public, private cloud, compute, storage, networking, software, platform/infrastructure-as-a-service.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
In this role, you will drive the future of flash storage at Google. You will work on projects, designing and implementing advanced scheduling algorithms for improved user isolation and QoS, micro-optimizing server code for ultra-low latency. You will be responsible for enhancing data integrity through advanced error detection, collaborating with platform teams on design and qualification of new solid-state drive (SSD) hardware, and developing innovative technologies like SmartFTL and write amplification (WAF) reduction techniques.</p><p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.</li>
<li>Participate in, or lead, design reviews with peers and stakeholders to decide amongst available technologies.</li>
<li>Enhance the performance, efficiency, and reliability of Google's core flash storage.</li>
<li>Enable adoption of new SSD technologies to reduce costs and improve capabilities.</li>
<li>Influence future storage hardware designs.</li>
</ul></div>Google is 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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, Google Cloud Storage

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Build the real-time, globally distributed platform that controls billing, budgeting, payments, and promotions for Amazon Advertising &mdash; processing multi-million transactions worth 100x in dollar value daily with millisecond SLAs, directly impacting the experience of advertisers worldwide. Your work powers the financial levers behind one of Amazon's fastest growing businesses.<br>
<br>
The Iron Mountain platform is the singular system managing all advertiser-facing financial functions &mdash; billing, invoicing, accounting automation, budgets, promotions, payments, and Billing Advertiser Experience (AX) &mdash; in real-time while being transparent and auditable from the ground up. These systems serve Sponsored Ads worldwide across all advertising displayed on or off Amazon. With international expansion driving 10X traffic growth, you'll solve critical distributed systems challenges: building architecture that scales exponentially, maintains high availability with minimal downtime (where outages directly impact revenue and advertiser business), and guarantees millisecond response times for front-end advertiser experiences. Our team spans Bangalore, Seattle, and New York &mdash; truly global in spirit.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and build global, scalable, secure back-end applications for billing, budgeting, payments, and promotions at massive transaction volume</li></ul><br>
<ul><li>Build customer-facing front-end applications that enable frictionless billing, budgeting, and payments for advertisers</li></ul><br>
<ul><li>Architect high-availability, distributed systems with millisecond SLAs &mdash; ensuring zero revenue loss and uninterrupted advertiser experiences</li></ul><br>
<ul><li>Seamlessly integrate with downstream ad serving platforms, billing and budgeting systems across the broad variety of advertising programs with no loss in information</li></ul><br>
<ul><li>Design for 10X traffic growth &mdash; building easily scalable architecture that supports international expansion and new business needs</li></ul><br>
<ul><li>Own what you and your team create end to end &mdash; from feature design with customers, designers, and product managers through implementation, performance, and operational excellence</li></ul><br>
<ul><li>Identify and mitigate design risks early to increase speed of implementation; be judicious with dependencies and efficient with resource usage</li></ul></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></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.<p><br>
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.</p><br>
USA, NY, New York - 158,100.00 - 213,800.00 USD annually</div><p></p>

Software Development Engineer, Ads Core Services

I8IS INC.

<div><div><div><b>Title: Scala Developer</b><br>
<b>Location: Plano, TX/ New York City, NYC / Jersey City, NJ/Onsite</b><br>
<b>Duration: Full Time</b><br>
<b>Client: Banking</b><br>
<b>Experience required: 10&ndash; 15 years of experience</b><br>
<b>Interview Mode: Video</b><br>
</div><div></div><br>
<div><b>Job Description</b><br>
</div><div>Must Have Technical/Functional Skills<br>
</div><ul><li>Strong hands-on experience in Scala development with expertise in building high-performance, scalable, and low-latency trading applications.</li></ul>
<ul><li>Extensive experience in Capital Markets and Trading Systems, with a strong understanding of Front Office trading workflows.</li></ul>
<ul><li>Strong proficiency in Scala frameworks and libraries such as Akka, Play Framework, Cats, ZIO, or similar.</li></ul>
<ul><li>Experience developing and supporting electronic trading platforms, Order Management Systems (OMS), and Execution Management Systems (EMS).</li></ul>
<ul><li>Strong understanding of functional programming principles, concurrency, and distributed systems architecture.</li></ul>
<ul><li>Experience working with real-time market data feeds, trade execution systems, and event-driven architectures.</li></ul>
<ul><li>Hands-on experience with messaging technologies such as Kafka, RabbitMQ, JMS, or equivalent.</li></ul>
<ul><li>Strong expertise in SQL and working with relational databases such as Oracle, PostgreSQL, or SQL Server.</li></ul>
<ul><li>Experience in developing and consuming RESTful APIs and microservices-based applications.</li></ul>
<ul><li>Familiarity with FIX Protocol and electronic trade execution workflows.</li></ul>
<ul><li>Strong understanding of trade lifecycle processes including order capture, execution, allocation, settlement, and reporting.</li></ul>
<ul><li>Experience working in Linux/Unix environments and utilizing source control tools such as Git.</li></ul>
<ul><li>Knowledge of CI/CD pipelines, DevOps practices, Docker, and containerized deployments.</li></ul>
<ul><li>Proven experience working in an Agile development environment.</li></ul>
<ul><li>Strong analytical, problem-solving, debugging, and performance tuning skills.</li></ul>
<ul><li>Excellent verbal and written communication skills.</li></ul><br>
<div></div><br>
<div>Roles Responsibilities<br>
</div><ul><li>Design, develop, and maintain Scala-based trading applications supporting front-office trading and capital markets operations.</li></ul>
<ul><li>Build and enhance high-performance, low-latency systems for market data processing, trade capture, and trade execution.</li></ul>
<ul><li>Develop scalable microservices and distributed applications to support trading and investment banking platforms.</li></ul>
<ul><li>Collaborate closely with traders, business analysts, quantitative analysts, and operations teams to gather requirements and deliver solutions.</li></ul>
<ul><li>Integrate trading applications with market data providers, exchanges, broker platforms, and internal systems.</li></ul>
<ul><li>Develop and maintain real-time data processing solutions leveraging messaging platforms such as Kafka and event-driven architectures.</li></ul>
<ul><li>Analyze and resolve production issues, perform root cause analysis, and implement preventive solutions.</li></ul>
<ul><li>Optimize application performance, scalability, and reliability to meet demanding trading system requirements.</li></ul>
<ul><li>Participate in the design and implementation of OMS, EMS, and trade processing enhancements.</li></ul>
<ul><li>Ensure compliance with development standards, security policies, and regulatory requirements.</li></ul>
<ul><li>Participate in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives.</li></ul>
<ul><li>Create and maintain technical documentation, architecture diagrams, and operational procedures.</li></ul>
<ul><li>Collaborate with cross-functional technology teams to deliver robust and reliable trading solutions.</li></ul>
<ul><li>Support application release activities and production deployments while ensuring minimal impact to trading operations.</li></ul>
<ul><li>Continuously evaluate and implement best practices in Scala development, functional programming, and distributed computing.</li></ul></div></div><div></div>

Scala Developer

Capital One

<div>Lead Machine Learning Engineer, Card Tech<p></p><p>
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.</p><p></p><p>
What You&rsquo;ll Do:</p><p>
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:</p><ul><li><p>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams</p></li><li><p>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)</p></li><li><p>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment</p></li><li><p>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications</p></li><li><p>
Retrain, maintain, and monitor models in production</p></li><li><p>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</p></li><li><p>
Construct optimized data pipelines to feed ML models</p></li><li><p>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code</p></li><li><p>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI</p></li><li><p>
Use programming languages like Python, Scala, or Java</p></li></ul><p></p><p>
Basic Qualifications:</p><ul><li><p>
Bachelor&rsquo;s Degree</p></li><li><p>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</p></li><li><p>
At least 4 years of experience programming with Python, Scala, or Java</p></li><li><p>
At least 2 years of experience building, scaling, and optimizing ML systems</p></li></ul><p></p><p>
Preferred Qualifications:</p><ul><li><p>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field</p></li><li><p>
3+ years of experience building production-ready data pipelines that feed ML models</p></li><li><p>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</p></li><li><p>
2+ years of experience developing performant, resilient, and maintainable code</p></li><li><p>
2+ years of experience with data gathering and preparation for ML models</p></li><li><p>
2+ years of people leader experience</p></li><li><p>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation</p></li><li><p>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</p></li><li><p>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</p></li><li><p>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</p></li><li><p>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</p></li></ul><p></p><p><b><i>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</i></b></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Lead Machine Learning Engineer, Card Tech

Butterfly Network

<div><h2 class="jobSectionHeader"><b>Company Description</b></h2>
<p>
Butterfly Network, Inc. (NYSE: BFLY) is driving a digital revolution in ultrasound imaging and sensing with its proprietary Ultrasound-on-Chip&trade; semiconductor technology and software solutions. Butterfly first proved its technology in the point-of-care ultrasound market &ndash; commercializing the world's first single-probe, whole-body portable ultrasound device, which is now on its best-selling, third-generation: Butterfly iQ3&trade;. The Company combines its advanced hardware with cloud software and AI, an enterprise workflow solution (Compass AI&trade;) and other offerings to drive adoption of affordable, accessible ultrasound. Butterfly also enables third-party development of imaging AI apps through Butterfly Garden&trade;, its software development kit and AI partnership initiative.</p>
<p>
In addition to its medical imaging products, Butterfly Embedded&trade; is the Company's Ultrasound-on-Chip&trade; licensing and co-development program designed to enable a new wave of ultrasound-enabled technologies across non-competitive healthcare markets and beyond. Through Butterfly Embedded&trade;, partners can build and scale novel ultrasound applications powered by Butterfly's proprietary semiconductor chip and software platform. Butterfly's innovations have been recognized by Prix Galien USA, Fierce 50, TIME's Best Inventions and Fast Company's World Changing Ideas, among other achievements.</p>
<p>
We're a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let's build something extraordinary together!</p>
<h2 class="jobSectionHeader"><b>
Job Description</b></h2>
<p>
We're looking for a Staff Site Reliability Engineer to raise the bar for how we observe and operate our production cloud platform. Our cloud platform powers clinical workflows on top of one of the largest ultrasound image repositories in the world. In this role you'll be a hands-on technical contributor who leads by execution.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Own observability end to end. Evolve and streamline our metrics, logs, and distributed-tracing strategy. Building telemetry standards that give every team a clear, real-time picture of production health</li>
<li>Drive reliability through SLOs. Establish meaningful service-level objectives with product and engineering teams, and use error budgets to balance velocity against stability.</li>
<li>Lead incident response. Help set the standards for our incident response feedback loop. Manage the on-call rotations for production systems, respond to incidents with calm and rigor, manage blameless postmortems &ndash; then systematically reduce toil.</li>
<li>Engineer for reliability. Operate and improve our Kubernetes/EKS workloads on AWS. Build automation and tooling that removes manual operational work and improves developer productivity.</li>
<li>Be a force multiplier. Mentor engineers on operational excellence, set standards for how services are built to be observable and reliable, and influence architecture decisions across teams.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<p>
Baseline skills/experiences/attributes:</p>
<ul>
<li>8+ years of managing production systems</li>
<li>Deep, hands-on production experience with AWS and Kubernetes</li>
<li>Strong programming/scripting skills and experience building operational automation</li>
<li>Proven ownership of a full stack observability platform (NewRelic/Datadog/etc)</li>
<li>A track record of leading incident response and delivering improvements in reliability</li>
<li>Clear written and verbal communication skills</li>
<li>Strong desire for being a mentor to others</li>
</ul>
<p>Ideally, you also have these skills/experiences/attributes (but it's ok if you don't!):</p>
<ul>
<li>Background operating in a highly regulated or compliance-sensitive environment (e.g., HIPAA, SOC 2, FedRAMP, SaMD, etc).</li>
<li>Background in technical Healthcare Protocols (DICOM, HL7, FHIR) and systems integrations (PACS, VNA, EMR, etc)</li>
</ul><h2 class="jobSectionHeader"><b>Values</b></h2>
<p>
Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in&hellip;</p>
<ul>
<li>Patient-Centric Innovators: Our mission is THE mission.</li>
<li>Empowered to Impact: Every voice matters.</li>
<li>One Team, One Goal: Unity fuels progress.</li>
<li>Growth Champions: We embrace challenges.</li>
<li>Action-Oriented Achievers: We follow through, every time.</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Location</b></h2>
<p>
Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers.</p>
<p>
This is a hybrid position (2 - 3 days a week in office) and will be based out of our office in New York City, NY.</p><br>
<h2 class="jobSectionHeader"><b>
Benefits and Perks</b></h2>
<ul><li>Comprehensive health insurance, encompassing dental and vision coverage, is provided to all our employees. As a health-tech company, we prioritize the well-being of our teams. We also contribute to Health Savings Account (HSA) accounts for all enrolled employees on an annual basis.</li>
<li>Comprehensive Employee Assistance Program - we provide access to tools and resources to support your emotional health and day-to-day needs.</li>
<li>401k plan and match - we facilitate your retirement goals.</li>
<li>Eligible employees will have the opportunity to participate in Employee Stock Purchase Plan (ESPP)</li>
<li>Unlimited Paid Time Off + 10 Holiday Days a Year - recharge and come back ready to make an impact</li>
<li>Parental Leave - we aim to provide our employees with time to bond with their growing family, along with additional support for primary caregivers to help transition back to work</li>
<li>Competitive salaried compensation - we value our employees and show it</li>
<li>Equity - we want every employee to be a stakeholder</li>
<li>The opportunity to build a revolutionary healthcare product and save millions of lives!</li></ul><br>
<p></p>
<p><b>
Compensation</b></p>
<p>
Our estimated salary for this role based in NYC is around $190,000 - $210,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand.</p><p></p><p><b><br>
Candidates must be authorized to work in the United States. Butterfly Network will not provide immigration sponsorship of any kind for this position, including but not limited to H-1B, TN, O-1, L-1, or green card sponsorship (this includes applicants that are in the process of obtaining a greencard), now or in the future.</b></p>
<p>
Butterfly Network does not accept agency resumes.</p>
<p>
Butterfly Network is an E-Verify Company.</p>
<p>
Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.</p>
<p>
Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedur</p><br>
<p></p>
<p>
#LI-KG</p>
<p>
#KG-LI</p></div><p></p>

Staff , Site Reliability Engineer - Cloud Platform

WW International, Inc. (Weight Watchers)

<div><div><h3 class="jobSectionHeader"><b>WeightWatchers is a global digital health company.</b></h3>
<p>
WeightWatchers is a global digital health company and the world's #1 doctor-recommended, clinically studied behavioral weight health program. For sixty years, we have led the industry by blending science and community to help millions of people build sustainable healthy habits.</p>
<p>
As the science of weight health rapidly evolves, so does WeightWatchers. We are redefining the category by developing <b>new clinical pathways for GLP-1 medication access</b>, creating specialized behavioral programs for members on weight-loss medications, and integrating medical care with our proven habit-change framework. By combining these clinical breakthroughs with our digital-first community, we are uniquely positioned to lead the future of weight health care.</p></div><p>
We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.</p>
<p>
We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul><li><b>Data Enablement:</b> Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.</li>
<li><b>Pipeline Architecture:</b> Design, build, and scale ELT pipelines that are resilient, efficient, and modular.</li>
<li><b>Cross-Functional Collaboration:</b> Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.</li>
<li><b>Data Modeling:</b> Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.</li>
<li><b>End-to-End Ownership:</b> Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.</li>
<li><b>Operational Excellence:</b> Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.</li>
<li><b>Technical Leadership:</b> Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3>
<ul><li><b>Experience:</b> 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.</li>
<li><b>Snowflake Expertise:</b> Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.</li>
<li><b>Technical Mastery:</b></li>
<li><ul><li><b>Advanced Software Engineering (Python):</b> Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.</li>
<li><b>Data Modeling &amp; SQL Mastery:</b> Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.</li>
<li><b>Infrastructure &amp; Automation:</b> Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.</li>
<li><b>Workflow Orchestration:</b> Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.</li>
<li><b>Observability &amp; Reliability:</b> Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.</li>
</ul></li><li><b>Operational Maturity:</b> Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.</li>
<li><b>Education:</b> BS/MS in Computer Science, Information Systems, or a related technical field.</li></ul><p></p><div><p><br>
At WeightWatchers, our mission is to build a worldwide community connected by healthy habits. If that resonates with you, then we would love to talk. WeightWatchers values developing community within our employee population as well. We have a hybrid work environment to allow our employees to find the right work-life balance.</p>
<p><i>
It is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.</i></p>
<p><i>
By agreeing to participate in our process, you agree that any information we collect is subject to our </i><i>Privacy Policy</i><i>.</i></p><br>
<p></p>
<div>
<div>Maryland</div>
<b>Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a polygraph examination or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.</b></div>
<div></div>
<div>Massachusetts</div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div><br>
<div>
<div></div><div>WeightWatchers complies with all applicable Rhode Island Workers' Compensation laws (Chapters 29-38 of the R.I. General Laws). Eligible employees are covered by worker's compensation insurance for work-related injuries or illness.</div>
<div></div>
</div><h3 class="jobSectionHeader"><b>RECRUITMENT SECURITY &amp; FRAUD PREVENTION</b></h3>
<p>
At WeightWatchers, we prioritize the security of our candidates. To ensure you are communicating with a legitimate representative of our team, please keep the following security standards in mind:</p>
<ul>
<li><b>Verified Email Domain:</b> All official correspondence from our recruiting team will originate from an <b>@ww.com</b> email address.</li>
<li><b>Live Engagement:</b> Our hiring process requires live interaction. We do not conduct interviews or extend employment offers solely through text message, chat apps, or automated email-only exchanges.</li>
<li><b>Financial Integrity:</b> WeightWatchers will <b>never</b> ask for any form of payment from a candidate. We will never send you a check with instructions to purchase equipment or &quot;start-up kits&quot; on our behalf.</li>
<li><b>Secure Data Collection:</b> Sensitive personal information (such as banking or identity tax info) is only requested through our official, secure onboarding portal after a formal offer has been extended, never during the interview phase.</li>
</ul>
<p><b>Stay Vigilant:</b> If you are contacted by someone claiming to represent WeightWatchers and the process deviates from these standards, please do not share any personal information. You can verify any open position by visiting our official careers page at https://job-boards.greenhouse.io/ww</p></div></div><p></p>

Senior Data Engineer

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