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lead software engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
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<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Cobranded Cards Team, you will play a crucial role as part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. 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's business objectives.</p><p><b>
Job responsibilities</b></p><div><div><ul><li><div>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
</div></li></ul></div><div><ul><li><div>Develops secure and high-quality production code, and reviews and debugs code written by others&mdash;leveraging AI-assisted development tools (e.g., LLM-based code generation, automated debugging, test synthesis) to accelerate delivery without sacrificing quality.
</div></li></ul></div><div><ul><li><div>Drives decisions that influence product design, application functionality, and technical operations and processes.
</div></li></ul></div><div><ul><li><div>Designs, builds, and maintains internal tooling and developer platforms that measurably improve engineering productivity, observability, and operational efficiency across teams.
</div></li></ul></div><div><ul><li><div>Serves as a function-wide subject matter expert in one or more areas of focus, including the practical and responsible application of AI/ML techniques in software engineering workflows.
</div></li></ul></div><div><ul><li><div>Owns and operates systems that run 24x7 at high traffic scale&mdash;including on-call responsibilities, incident response, and post-mortem analysis&mdash;with a strong bias toward proactive reliability improvements over reactive firefighting.
</div></li></ul></div><div><ul><li><div>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
</div></li></ul></div><div><ul><li><div>Influences peers and project decision-makers to consider the use and application of leading-edge technologies, including emerging AI tooling and automation strategies.
</div></li></ul></div><div><ul><li><div>Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
</div></li></ul></div><div><ul><li><div>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
</div></li></ul></div></div><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years of applied experience.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced in the Java programming language and associated ecosystem.</li><li>
Demonstrated AI fluency: ability to effectively use AI coding assistants, prompt engineering, and LLM-based tools to write, review, and debug production code&mdash;and the judgment to validate, refactor, and take ownership of AI-generated output.</li><li>
Experience designing and shipping internal developer tools, CLIs, dashboards, or platforms that improve team velocity or system visibility.</li><li>
Proven track record operating and improving systems with strict uptime requirements (99.9%+ uptime), high request volumes (hundreds of TPS), and complex failure modes&mdash;including experience with SLOs, alerting, capacity planning, and graceful degradation.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, distributed systems, etc.).</li><li>
Ability to tackle design and functionality problems independently with little to no oversight.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
</li><li>Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
</li></ul><p></p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
Experience with banking and credit card ecosystems
</li><li>AWS Certification</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America'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' and employees' 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>
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<b>ABOUT THE TEAM</b>
<br>
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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'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>

Sr Lead Software Engineer:Java/AI

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.</p><p>
You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up</li><li>
Architect new system designs and next-generation deployment models &mdash; including immutable infrastructure, containerization, and automated provisioning pipelines</li><li>
Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization</li><li>
Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed</li><li>
Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster</li><li>
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain</li><li>
Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li><li>
Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure</li><li>
Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures</li><li>
Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)</li><li>
Deep, hands-on Linux engineering expertise &mdash; administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)</li><li>
Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible</li><li>
Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls</li><li>
Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms</li><li>
Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)</li><li>
Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)</li><li>
Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads</li><li>
Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)</li><li>
Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)</li><li>
Experience with database management systems, preferably PostgreSQL</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><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><div><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' and employees' 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>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
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Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you&mdash;and the products you deliver&mdash;will thrive.<br>
<div></div><br>
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div><div></div>

Senior Lead Software Engineer- Platform / Linux Engineering

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

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.
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US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
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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

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

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

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>3 years of experience testing, maintaining, or launching software products.</li>
<li>1 year of experience with software design and architecture.</li>
<li>1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</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.<br>
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role.<br>
</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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>
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.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.<br>
</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, AI/ML GenAI, Google Cloud

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