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lead software engineer front end platform

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK &ndash; but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way &ndash; meaning you'll have the opportunity to make a real impact.
</p><p>As a Lead Software Engineer - Front-End Engineer at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.
</p><p><b>Job responsibilities</b></p><div><ul><li>
Collaborate with cross-functional teams to define, design, and ship new features.
</li></ul></div><div><ul><li>Create and maintain clean, efficient, and reusable codebase.
</li></ul></div><div><ul><li>Conduct thorough testing to ensure robustness and reliability of applications.
</li></ul></div><div><ul><li>Troubleshoot and debug issues, ensuring smooth application functionality.
</li></ul></div><div><ul><li>Communicate effectively with stakeholders to gather requirements and provide progress updates.
</li></ul></div><div><ul><li>Mentor junior developers, providing guidance on best practices and code reviews.
</li></ul></div><div><ul><li>Stay updated with the latest industry trends and best practices in mobile development.
</li></ul></div><div><ul><li>Drive continuous improvement initiatives to enhance development processes and workflows.</li></ul></div><p><b>
Required qualifications, capabilities, and skills</b></p><div><div><ul><li>
Formal training or certification on JavaScript concepts and 5+ years applied experience
</li></ul></div><div><ul><li>Strong knowledge of JavaScript, TypeScript, and ES6+ syntax
</li></ul></div><div><ul><li>Ability to write testable, clean JavaScript code
</li></ul></div><div><ul><li>Familiarity with writing unit tests
</li></ul></div></div><div><div><ul><li>Ability to work in a dynamic, agile environment within a geographically distributed team
</li></ul></div><div><ul><li>Ability to focus on promptly addressing customer needs
</li></ul></div><div><ul><li>Excellent written and verbal communication skills in English
</li></ul></div></div><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><div><ul><li>Proficiency in React framework, building applications using React Native in TypeScript or JavaScript
</li></ul></div><div><ul><li>Native application development across Android / iOS in Kotlin / Swift
</li></ul></div><div><ul><li>Understanding of REST APIs and GraphQL
</li></ul></div><div><ul><li>Comfortable working with projects partially or fully using TypeScript
</li></ul></div><div><ul><li>End to end testing applications with Detox / Appium / WebdriverIO / Playwright
</li></ul></div><div><ul><li>Extensive experience in modern web development, including responsive design and performance optimization
</li></ul></div><div><ul><li>Hands-on experience with design systems, component libraries, and implementing consistent UI/UX across large-scale applications
</li></ul></div><b>ABOUT US</b><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&rsquo;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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>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>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer- Front End Platform

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are building something transformational - a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos.<br>
<br>
This is a foundational tech lead opportunity to architect and own the systems that power data-driven decision-making for thousands of dealers and partners across multiple marketplaces. Our seller and partner ecosystem - spanning dealer groups, OEMs, and 3P integrations - depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will be the technical cornerstone of the platform that delivers this intelligence at scale.<br>
<br>
We are looking for a talented senior engineer with a tech lead mindset: someone who raises the bar on system design, drives architectural decisions across teams, and builds platforms that outlast any single feature. You will work at the intersection of data engineering, AI/ML, and product - owning the full lifecycle from architecture to production.<br>
<br>
What You Will Build<br>
<ul><li>AI-powered data platforms that serve ML models and surface predictive insights to dealers and partners</li><li>Intelligent agents that democratize data access, enabling non-technical stakeholders to query and act on complex datasets</li></ul>
- Next-generation pipelines that leverage AI agents to write, optimize, and validate code - accelerating development velocity while maintaining engineering rigor<br>
<ul><li>This platform will process massive volumes of transactional, behavioral, and market data, transforming raw signals into insights that directly influence revenue streams.</li></ul><br>
What Makes This Role Unique<br>
This is a rare greenfield opportunity to be the founding technical architect of a platform that will serve as the data backbone for Amazon Autos' seller and partner ecosystem. You won't just leverage AI tools - you'll build the next generation of AI-enabled data platforms, working at the forefront of AI-powered data engineering within a team that has already driven AI adoption to over 90% among its software builders.<br>
<br>
Key job responsibilities<br>
- Platform Architecture: Architect and own the end-to-end design of a full-stack data platform - from data ingestion and transformation pipelines to API delivery and front-end consumption layers.<br>
<ul><li>Technical Standards: Define and enforce technical standards across the team, including design patterns, data modeling best practices, API contracts, reliability, and scalability principles.</li><li>Cross-Functional Leadership: Lead cross-functional technical initiatives, aligning engineering, product, data science, and partner teams around a unified data strategy.</li><li>AI-Powered Engineering: Build AI-powered data platforms that serve ML models and deploy intelligent agents that democratize data access for non-technical stakeholders.</li><li>Data Pipeline Design: Design and implement large-scale ETL/ELT pipelines using AWS-native and big data technologies, ensuring data freshness, accuracy, and lineage.</li><li>Partner API Strategy: Drive the API strategy for external partner integrations &mdash; enabling OEMs, dealer groups, and 3P systems to consume standardized, real-time data feeds.</li><li>Engineering Excellence: Lead design reviews, define code quality standards, own CI/CD pipelines, and champion automated testing and observability.</li></ul>
- Mentorship: Mentor and grow engineers on the team - conducting design reviews, providing technical guidance, and elevating the overall engineering bar.<br>
<ul><li>Business Translation: Partner with product and business stakeholders to translate ambiguous business problems into well-scoped, high-impact technical solutions.</li><li>Operational Excellence: Define SLAs, build monitoring and alerting, and lead incident response for production systems.</li></ul><br>
A day in the life<br>
You start your morning reviewing a design proposal from a junior engineer - you provide structured feedback that sharpens the data model and catches a scalability risk before it reaches production. By midday, you're in a cross-team sync with the OEM integrations team, aligning on the API contract for a new real-time inventory feed. In the afternoon, you're deep in architecture work - designing the next generation of the dealer analytics pipeline that will reduce data latency from hours to minutes. You close the day reviewing a pull request and unblocking a teammate on a tricky ETL edge case. Every day, your decisions shape the platform that hundreds of dealers and partners rely on to run their business on Amazon.<br>
<br>
About the team<br>
We are transforming Amazon Autos' data infrastructure into a global, enterprise-grade data service. Our initiative builds a scalable API layer serving OEMs, dealer groups, and internal teams through standardized automated reports and real-time integrations.<br>
<br>
This role involves working with massive datasets and running analysis to understand customer behavior for Amazon Autos, collaborating with product managers, designers, and engineers to create automotive shopping experiences that delight customers. Our vision is to create automotive discovery and shopping experiences on Amazon that provide customers with greater convenience and selection.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience analyzing large datasets and translating them to actionable business insight</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Master's degree in computer science or equivalent</li><li>5+ years of developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting experience</li><li>Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.</li><li>Experience in Redshift, or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture</li><li>Experience in Kafka, or experience in any Bigdata architecture and experience in Redshift</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 - 184,900.00 - 250,200.00 USD annually<br>
USA, VA, Arlington - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Software Development Engineer, Amazon Autos

Ketch

<div><p><b>About Ketch</b></p>
<p>
Ketch is redefining responsible data use for the AI era. Our Data Permissioning Platform helps companies manage data privacy, consent, and compliance&mdash;while enabling privacy-safe data activation across devices, systems, and third-party applications. Global brands rely on Ketch to support GDPR, CCPA/CPRA, and modern data governance initiatives.</p>
<div><b>
Job Description:</b></div>
<div>
A Senior Solutions Engineer is the frontline subject matter expert with prospective customers and partners. You gain a deep understanding of customer requirements and design the appropriate solution to meet their needs. You will help frame and quantify the value of the Ketch solution, differentiate our platform, tell our value story through standard and custom technical demonstrations, manage enterprise Proofs of Value, and work with the Sales team to ultimately close business. You will be a critical link between sales, product management, engineering, and professional services teams (including partners) while successfully operating with a high degree of autonomy.</div><br>
<div></div>
<div>
You must thrive in a fast-paced, often ambiguous, environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and going deep with experienced technical audiences. You bring a passion for continuous learning (both technical and regulatory) and the ability to work independently.</div>
<h3 class="jobSectionHeader"><b>
Key Areas of Responsibility</b></h3><div>
<h4 class="jobSectionHeader"><b>Solution Sales</b></h4>
<p><i>
Focus: Supporting the deal lifecycle, value engineering, and stakeholder management.</i></p>
<ul>
<li><p><b>Drive the solution sales cycle:</b> Collaborate closely with Account Executives owning the solution components of the deal, moving opportunities from discovery to closed/won. Own the technical solution responses to RFPs, RFIs, and Security Questionnaires.</p>
</li>
<li><div><b>Articulate value &amp; vision:</b> Confidently present the Ketch platform and vision to diverse audiences, from C-level executives to security engineers and legal counsel, tailoring the narrative to frame and quantify value for each stakeholder.</div>
</li>
<li><p><b>Deliver compelling demonstrations:</b> Lead high-impact product demonstrations, whiteboarding sessions, and Q&amp;A forums that clearly visualize how Ketch solves complex data permissioning challenges.</p>
</li>
</ul><h4 class="jobSectionHeader"><b>Solution Design</b></h4>
<p><i>
Focus: Solution architecture, hands-on demo build, prototyping, and validation.</i></p>
<ul>
<li><p><b>Architect customer solutions:</b> Translate customer business challenges into robust technical designs. Produce detailed solution architecture diagrams that highlight data flows, front-end integrations, backend system integrations, and solution sequencing. Produce assets that describe how users will interact with and benefit from the solution.</p>
</li>
<li><div><b>Rapid demo builds and prototyping (Front-end):</b> Independently build front-end visionary demos using tools like Webflow, JavaScript, and HTML to visualize the user experience in the customer context.</div>
</li>
<li><div><b>Integration (Back-end):</b> Prototype back-end integrations with customer internal systems using REST APIs and your understanding of JSON to demonstrate interoperability.</div>
</li>
<li><div><b>Validate technical fit:</b> When appropriate, design and lead technical workshops and Proof of Value (POV) engagements to validate the solution against specific customer use cases and success criteria.</div>
</li>
<li><div><b>Scope implementation:</b> Assess the prospect&rsquo;s delivery capabilities and determine the necessity for Ketch Professional Services or partner involvement, ensuring a seamless transition from sales to deployment.</div>
</li>
<li><p><b>Customer Success</b>: Own the handover of the solution to the Customer Experience (and when appropriate, the partner) team.</p>
</li>
</ul><h4 class="jobSectionHeader"><b>Domain Expertise &amp; Thought Leadership</b></h4>
<p><i>
Focus: Industry knowledge, technology expertise, market strategy, and product feedback.</i></p>
<ul>
<li><p><b>Serve as a Privacy SME:</b> Maintain deep immersion in the evolving data privacy landscape, including global laws (GDPR, CCPA, etc.), regulatory requirements, and enforcement actions.</p>
</li>
<li><div><b>Mastery of the data ecosystem:</b> Leverage strong familiarity with large-scale database technology (e.g. Snowflake, Databricks, BigQuery) and cloud technologies (AWS, GCP) to advise on data governance and integration best practices.</div>
</li>
<li><div><b>Mastery of the advertising ecosystem:</b> Maintain an up-to-date understanding of the advertising technology landscape and the impact of privacy on data collection and activation.</div>
</li>
<li><div><b>Competitive strategy:</b> Maintain an up-to-date understanding of competitive technologies, equipping the sales team with the knowledge to position Ketch effectively in the market.</div>
</li>
<li><p><b>Cross-functional collaboration:</b> Act as the &quot;voice of the customer&quot; by collaborating with Product Management and Engineering to influence the roadmap, while working with Marketing to develop cross-functional solution guides and technical assets.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Requirements</b></h3><p><b>
Professional Experience:</b></p>
<ul>
<li><p>10-15 years working experience.</p>
</li>
<li><div>5+ years of experience in a Solution Engineering, Sales Engineering, or Technical Consulting role, preferably within an Enterprise SaaS environment.</div>
</li>
<li><div>Proven track record of supporting complex sales cycles and co-selling with Account Executives to close 6-figure+ deals.</div>
</li>
<li><p>Experience working in the Data Privacy, Data Governance, Security, or AdTech/MarTech sectors is highly preferred.</p>
</li>
</ul><p><b>Technical Skills:</b></p>
<ul>
<li><p>Front-End Prototyping: Practical working knowledge of HTML, CSS, and JavaScript. Experience with low-code design tools (e.g. Webflow) to build visual mockups and interactive prototypes is essential.</p>
</li>
<li><div>API &amp; Integration fluency: Understanding of RESTful APIs, JSON payloads, and webhooks. Ability to use tools like Postman to test endpoints.</div>
</li>
<li><div>Data Ecosystems: Strong familiarity with modern data platforms (Snowflake, Databricks, BigQuery). You do not need to be a database admin, but you must be comfortable navigating a database schema and performing data updates to tables.</div>
</li>
<li><div>Architecture &amp; Diagramming: Ability to create clear, professional solution diagrams (using tools like Lucidchart) that explain data flows to both technical and non-technical audiences.</div>
</li>
<li><p>Web architecture: You must understand and be able to explain how a web browser works at a technical level.</p>
</li>
</ul><p><b>Core Sales &amp; Soft Skills:</b></p>
<ul>
<li><p>Presentation Mastery: Exceptional verbal and written communication skills. You must be comfortable whiteboarding a solution on the fly and pivoting a conversation from a high-level executive summary to a deep-dive technical debate.</p>
</li>
<li><div>Discovery &amp; Consulting: Strong &quot;detective&quot; skill. The ability to ask second and third-level questions to uncover the root cause of a prospect's pain, implication and need (e.g., MEDDPICC/Value Engineering). Be deeply curious and follow the thread.</div>
</li>
<li><p>Self-Starter Mentality: A demonstrated ability to work independently in a fast-paced environment, learning new technologies and regulations rapidly without hand-holding or seeking permission. Do it now.</p>
</li>
</ul><p><b>Nice-to-Haves:</b></p>
<ul>
<li><p>Privacy Certification: CIPP/E, CIPP/US, or CIPM certifications from the IAPP.</p>
</li>
<li><p>AdTech/MarTech Knowledge: Familiarity with how data moves through marketing ecosystems (CDPs, DMPs, DSPs)</p>
</li>
</ul><p><b>Other:</b></p>
<ul>
<li><div>Must be able to work legally in the United States</div>
</li>
<li>B.S Computer Science, Software Engineering, MIS or equivalent relevant experience required</li>
<li>English language fluency required, additional languages a plus</li>
<li>Able to travel up to 20% of the time</li></ul><br>
<div>
</div><div><b>Location:</b></div>
<div>
Preference is to have the role work in the US Eastern or Central time zone(s). This is a remote role.</div><div>
The US Base Salary range for this full-time position is $140,000 - $175,000 + commission + bonus + equity + benefits, with an OTE of up to $250,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Solutions Engineer

FluidStack

<div><div><div>New York City,San Francisco, CA,Austin, TX
 </div></div><div>Full Time</div></div>
<br><div><h1 class="jobSectionHeader"><b>About Fluidstack</b></h1>
<p>At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world&rsquo;s biggest AI Labs at industry-defining speeds.</p>
<p>Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here.</p>
<p>There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them.</p>
<p></p><h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p>Fluidstack is seeking a Network Engineer, Design &amp; Engineering to join our Network Engineering team. This is a design-ownership role: you will take customer requirements &mdash; GPU shape, workload profile, scale targets, tenancy model &mdash; and produce end-to-end network architectures that are deployable, validated, and optimized for AI training and inference workloads.</p>
<p>This is not a traditional network engineering role. You will own the full design problem space: reasoning through topology selection, rack layout implications, power and thermal constraints, cable plant feasibility, and fabric scaling &mdash; all the way from requirements intake through design documentation that deployment teams execute against. Each customer engagement may involve a different GPU platform, a different network topology, and a different set of physical constraints. You must be able to reason from first principles through novel design challenges rather than pattern-match to a single reference architecture.</p>
<p>You will work closely with cross-functional partners in Hardware, DC Operations, ICT/Structured Cabling, Software Engineering, and Validation to ensure your designs are not just technically sound but physically buildable and operationally sustainable. Success means producing network designs that deployment teams can execute without ambiguity, that scale to the customer&rsquo;s target, and that meet performance requirements on the first turn-up.</p>
<p></p><h2 class="jobSectionHeader"><b>Focus</b></h2>
<ul><li><p><b>End-to-End Network Design: </b>Own the design lifecycle from customer requirements through deployable architecture. Produce topology designs, IP/addressing schemes, routing policy, and fabric configuration specifications for AI training and inference fabrics. Design front-end (out-of-band management, customer access), back-end (GPU-to-GPU training fabric), and storage network architectures.</p>
</li><li><p><b>Multi-Customer Architecture Adaptability: </b>Design network architectures that adapt to different GPU platforms (NVIDIA, AMD, custom accelerators), server form factors, and workload profiles. Each customer engagement may require a different rack layout, power envelope, cable infrastructure approach, and fabric topology.</p>
</li><li><p><b>Physical Infrastructure Integration: </b>Translate logical network designs into physical reality. Work cross functionally on rack elevation planning, power distribution constraints, structured cabling architecture (fiber trunk design, patch panel layouts, cable pathway routing), and cooling/airflow considerations that impact network equipment placement. Ensure designs are buildable within the physical constraints of each facility.</p>
</li><li><p><b>Design Documentation &amp; Handover: </b>Produce comprehensive design packages that enable deployment teams to execute independently. This includes High-Level Designs (HLDs), Low-Level Designs (LLDs), cutsheet specifications, bill of materials, cabling matrices, and design decision records. Your documentation is the contract between design intent and deployment execution.</p>
</li><li><p><b>RDMA &amp; High-Performance Fabric Design: </b>Design lossless Ethernet fabrics optimized for RDMA (RoCEv2) workloads including PFC configuration, ECN tuning, traffic class design, and congestion management. Understand the relationship between fabric topology, ECMP behavior, and collective communication patterns in distributed training workloads.</p>
</li><li><p><b>Cross-Functional Design Collaboration: </b>Partner with Hardware Engineering on server/GPU platform integration, DC Operations on facility constraints and power planning, ICT on structured cabling feasibility and fiber budgets, Software Engineering on automation requirements and DCIM data modeling, and Validation teams on test plans and acceptance criteria. Your designs must satisfy constraints across all of these domains.</p>
</li><li><p><b>Design Review &amp; Standards: </b>Participate in and lead design review sessions. Contribute to the development of reference architectures, design standards, and reusable design patterns that accelerate future deployments. Challenge assumptions &mdash; both your own and others&rsquo; &mdash; to ensure designs are technically rigorous and operationally sound.</p>
</li></ul><h2 class="jobSectionHeader"><b>About You</b></h2>
<ul><li><p><b>Design-First Network Engineer: </b>5+ years of network engineering experience with a demonstrated focus on network design and architecture rather than purely operational roles. You&rsquo;ve designed datacenter network fabrics from requirements through deployment &mdash; not just configured them. You can articulate why a design decision was made, what tradeoffs were considered, and what constraints drove the outcome.</p>
</li><li><p><b>Deep L1&ndash;L3 Expertise: </b>Strong command of datacenter network fundamentals including CLOS/fat-tree topologies, BGP (eBGP underlay, iBGP/eBGP overlay), EVPN/VXLAN, IP addressing and subnetting at scale, and physical layer design (optics selection, fiber types, link budgets). You understand how L1 decisions cascade into L2/L3 behavior and design accordingly.</p>
</li><li><p><b>RDMA &amp; AI Fabric Understanding: </b>Working knowledge of RDMA network design (InfiniBand and/or RoCEv2), lossless Ethernet configuration (PFC, ECN, DCQCN), and the network performance requirements of distributed AI training workloads. You understand why fabric design decisions directly impact training job completion time.</p>
</li><li><p><b>GPU Cluster Architecture Exposure: </b>Experience designing networks around specific GPU platforms (NVIDIA DGX/HGX, AMD MI-series, custom accelerator platforms). Understanding of how GPU topology, NVLink/NVSwitch architecture, and host networking configuration interact with fabric design.</p>
</li><li><p><b>Physical Infrastructure Fluency: </b>Ability to reason about network design in the context of physical constraints. You&rsquo;ve worked through rack layout planning, power budget allocation, structured cabling architecture, and equipment placement decisions. You don&rsquo;t design networks in a vacuum &mdash; you understand that every logical decision has a physical consequence.</p>
</li><li><p><b>First Principles Thinker: </b>You break complex design problems into fundamental components and reason through them systematically. When faced with a new GPU platform, an unfamiliar facility constraint, or a novel customer requirement, you decompose the problem rather than reaching for the nearest template. You challenge assumptions &mdash; including your own &mdash; and can defend your design decisions with rigorous reasoning.</p>
</li><li><p><b>Documentation Rigor: </b>You produce design documentation that is clear, complete, and actionable. Your HLDs and LLDs enable deployment teams to execute without requiring you in the room. You see documentation as a design artifact, not an afterthought.</p>
</li><li><p><b>Cross-Functional Collaboration: </b>Excellent at working across engineering disciplines. You communicate design intent clearly to non-network stakeholders (hardware, facilities, cabling) and incorporate their constraints into your designs. You earn trust through technical depth and follow-through.</p>
</li></ul><h2 class="jobSectionHeader"><b>Nice to Haves</b></h2>
<ul><li><p><b>Hyperscale or Large-Scale Design Background: </b>Experience designing networks at hyperscale companies (Meta, Google, Microsoft, AWS) or large AI infrastructure providers. You&rsquo;ve seen what disciplined design processes look like at scale and can adapt those patterns to a fast-growing startup.</p>
</li><li><p><b>Multi-Vendor Platform Experience: </b>Deep familiarity with multiple network hardware platforms (Arista, Juniper, NVIDIA/Mellanox, Broadcom-based). Experience designing for specific platform capabilities and constraints, including ASIC-level considerations that impact fabric design.</p>
</li><li><p><b>Automation-Aware Design: </b>Experience designing networks with automation in mind &mdash; consistent naming conventions, structured data models, templatable configurations. You may not write the automation yourself, but you design architectures that are automatable by default.</p>
</li><li><p><b>WAN &amp; Interconnect Design: </b>Experience with WAN topology design, DCI (Data Center Interconnect), optical transport, and backbone network architecture. Understanding of how campus/datacenter design connects to broader network infrastructure.</p>
</li><li><p><b>Startup Experience: </b>You&rsquo;ve built something from scratch before &mdash; ideally in a high-growth infrastructure or cloud company. You&rsquo;re comfortable with rapid context switching, evolving requirements, and the intensity of early-stage company building.</p>
</li></ul><h2 class="jobSectionHeader"><b>Salary &amp; Benefits</b></h2>
<ul><li><p>Competitive total compensation package (salary + equity).</p>
</li><li><p>Retirement or pension plan, in line with local norms.</p>
</li><li><p>Health, dental, and vision insurance.</p>
</li><li><p>Generous PTO policy, in line with local norms.</p>
</li></ul><p>The base salary range for this position is $200,000 &ndash; $275,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.</p>
<p></p><p>We are committed to pay equity and transparency.</p>
<p>Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.</p>
<p></p><p><i>You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you </i><b><i>did not</i></b><i> receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application- someone from our recruiting team will be in touch.</i></p></div>

Network Engineer, Design & Engineering

<div><b>JOB DESCRIPTION</b><p><br>
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team</p><p>
As a Software Engineer III (Machine Learning Platform Engineer) at JPMorgan Chase within the Consumer &amp; Community Banking (CCB) line of business, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm&rsquo;s business objectives and drive innovation in ML platform capabilities.</p><p><b>
Job responsibilities</b></p><ul><li>
Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows.</li><li>
Develop and optimize tools for model training, deployment, monitoring, and lifecycle management.</li><li>
Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions.</li><li>
Implement secure, high-quality production code for platform services, APIs, and automation pipelines.</li><li>
Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations.</li><li>
Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement.</li><li>
Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.</li><li>
Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.</li><li>
Contribute to the ML platform engineering community of practice and participate in events that explore new and emerging technologies.</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure</li><li>
Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
</li><li>Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL)
</li><li>Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure</li><li>
Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring</li><li>
Experience developing APIs and platform services for ML workflows
</li><li>Solid knowledge of the software development life cycle and agile methodologies
</li><li>Ability to collaborate with cross-functional teams to deliver platform solutions aligned with business objectives
</li></ul><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Familiarity with Databricks for scalable data engineering and ML platform integration</li><li>
Experience working with Snowflake for cloud-based data warehousing and analytics</li><li>
Exposure to Snorkel AI for programmatic data labeling and training data management</li><li>
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow)</li><li>
Familiarity with feature stores, model registries, and ML metadata management</li><li>
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)</li><li>
Experience with RESTful APIs and microservices architectures</li></ul>
<b>ABOUT US</b><p><br>
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><p></p><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p><p></p><p>
Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div><br>
<br>
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Software Engineer III - Machine Learning Platform

<div><b>JOB DESCRIPTION</b><div><div><div><div><p><b><br>
Lead Software Engineer | Software Engineer III] &ndash; CMAS Strategic Initiatives</b>
</p></div><div><div>As a Software Engineer in the Customized Managed Account Solutions (CMAS) team, you will design and build software and AI capabilities, powering a new platform for customization and implementation of investment solutions. The Strategic Initiatives team is focused on building software, AI, and human solutions that meet increasingly customized and complex client needs in a scalable and integrated way. The ideal candidate for this role is interested in developing impactful solutions over pure technical problems, understanding the business and domain, and connecting with teammates and partners.
</div></div><div><p><b>Job Responsibilities:</b>
</p></div><div><ul><li><div>Architect, develop, test, and maintain software and AI systems
</div></li></ul></div><div><ul><li><div>Work with stakeholders and subject matter experts to gather and understand functional requirements, translating business needs into technical solutions
</div></li></ul></div><div><ul><li><div>Work across multiple codebases and technology stacks to deliver integrated, cross-functional solutions
</div></li></ul></div><div><ul><li><div>Collaborate with engineering peers through code reviews and knowledge sharing
</div></li></ul></div><div><ul><li><div>Operate and improve software development life-cycle processes
</div></li></ul></div><div><p><b>Required Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>[3+|5+] years of experience in software development
</div></li></ul></div><div><ul><li><div>Experience with AI coding techniques (what&rsquo;s in your claude.md file?)
</div></li></ul></div><div><ul><li><div>Proficient in Python, Django, Pandas, and Object-Oriented Programming principles
</div></li></ul></div><div><ul><li><div>Strong knowledge of SQL and exposure to PostgreSQL / MongoDB
</div></li></ul></div><div><ul><li><div>Working proficiency in developmental toolsets such as PyCharm, Git / BitBucket, AWS, and Jira
</div></li></ul></div><div><ul><li><div>Experience building or integrating AI-powered features into applications
</div></li></ul></div><div><ul><li><div>Clear understanding of Agile-Scrum software development lifecycle
</div></li></ul></div><div><ul><li><div>Strong communication (written and oral) and analytical problem-solving skills
</div></li></ul></div><div><ul><li><div>Strong sense of attention to detail, accountability, and pride in delivering high-quality work
</div></li></ul></div><div><ul><li><div>Ability to work collaboratively in teams to achieve organizational goals
</div></li></ul></div><div><ul><li><div>Willingness to learn new technologies and work across multiple frameworks and codebases
</div></li></ul></div></div><div><div><ul><li><div>BE/BSc degree in Computer Science, Engineering, or equivalent experience
</div></li></ul></div><div><p><b>Preferred Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>Polyglot programming skill and affinity, and experience with various technology frameworks. A tolerance for figuring out different frameworks, not an unshakeable preference for one over another.
</div></li></ul></div><div><ul><li><div>Experience with AWS and infrastructure-as-code tools like Terraform</div></li></ul></div></div></div></div></div><div></div>

Asset Management- Lead Software Engineer, Vice President

<div><b>JOB DESCRIPTION</b><p><br>
As a Senior Lead Software Engineer at JPMorganChase within the Asset Wealth Management, Digital Assets Team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.</p><p>
</p><p>We are looking for a visionary engineer to join our Asset Management, Digital Assets team. In this role, you will drive the delivery of innovative blockchain and smart contract applications in a rapidly growing space in asset management.
</p><p></p><p>This is a unique opportunity to shape the future of the financial ecosystem by collaborating with product and platform teams to execute our digital assets strategy. The ideal candidate is passionate about blockchain, thrives in a fast-paced environment, and is eager to develop impactful, scalable solutions.
</p><p></p><p>If you are a self-starter, require minimal supervision and are flexible and able to work with diverse groups of people including all levels of business management within a large organization, then we are excited to meet you.</p><p>
</p><p></p><p><b>Job responsibilities</b></p><ul><li>
Design and develop scalable, secure services utilizing Java, Spring Boot, TypeScript/NestJS, ReactJS, and Python.</li><li>
Collaborate with platform teams to enhance developer experience, toolchains, and cloud-hosted blockchain services.3</li><li>
Work closely with Product, Operations, and Core Blockchain teams to innovate and execute transformative blockchain use cases.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience.
</li><li>Strong object-oriented programming language background in Java one or more of the following languages: Go, Rust or JavaScript
</li><li>Hands-on knowledge of end-2-end development in web3 ecosystem &ndash; such as smart contract development, deployment, interaction with RPC providers, integrating with key management systems.</li><li>
Exposure to building on public or permissioned blockchain platforms (e.g., Ethereum/EVM, Hyperledger, Solana, Polkadot, Cosmos, Avalanche, Canton)</li><li>
Proficiency with enterprise development toolchains: Git, Jenkins, CI/CD pipelines, automated testing</li><li>
Demonstrable practical cloud native experience, in particular AWS and Kubernetes.</li><li>
Practical experience delivering system design, application development, testing, and operational stability</li><li>
Proven track record delivering complex software projects into production</li><li>
Excellent collaboration, facilitation, and communication skills; ability to work with diverse stakeholder groups</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Digital Asset experience
</li><li>Thorough understanding of cryptographic protocols and blockchain implementations</li><li>
Good understanding in key management, custody solutions and cryptographic fundamentals</li></ul><p>
</p><b>ABOUT US</b><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&rsquo;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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>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>
<div>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.<br>
</div><div></div><br>
<div>Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It&rsquo;s our mission to efficiently take care of our clients&rsquo; wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.</div></div>

Senior Lead Software Engineer - Digital Assets Team

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