Lead Software Engineer - Virtualization & Cluster Lifecycle Automation (Hyper-V) JPMorgan Chase & CoLead Software Engineer - Virtualization & Cluster Lifecycle Automation (Hyper-V)Jersey City, NJDrives 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. You will play a pivotal role in delivering a first-class private cloud offering, focusing on enabling multiple hypervisor platforms and striving for a consistent end user experience across both on premise and public cloud environments.
Architect III, Markets Tech, CIB JPMorgan Chase & CoArchitect III, Markets Tech, CIBJersey City, NJAs an Architect III at JPMorganChase within the Corporate & Investment Bank (CIB) Markets, you serve as a seasoned member of a team by incorporating leading best practices and collaborating with other architects to develop high-quality architecture solutions for various software applications and platforms. Drives reuse-first adoption of enterprise-authorized AI-enabled patterns and guardrails within the work environment across the product's SDLC and engineering governance (e.g., design reviews, CI/CD quality gates, testing, and operational readiness), ensuring traceability and human-in-the-loop validation.
Senior Analytics Engineer Bilt Technologies IncSenior Analytics EngineerNew York, NY$150,000–$200,000 / yearIn this role, you will: Be instrumental in growing Bilt's data function to support the business' goals Partner with other members of the Data team and business stakeholders to model data into usable and scalable formats to drive embedded and self-service analytics Lead the Data team with end-to-end development of models/alerts/semantic models/metrics to be consumed by stakeholders and partners Identify and execute on opportunities for employing advanced analytics and building complex models to answer business problems such as sessionization of events data, marketing attribution, granular profit modeling, LTV and Churn Identify and execute on cost and performance optimizations for existing models, including advanced incremental loading, indexing, partitioning, and clustering strategies Build strong relationships with engineering and business stakeholders and serve as a key centralized function to empower data-driven use cases Continue advancing our dbt implementation and take ownership of core BigQuery data assets Build technical integrations together with engineering stakeholders to scale and power Bilt's overall data capabilities Build and maintain data pipelines from source databases into BigQuery using CDC (Datastream), file ingestion (SFTP/GCS), and streaming replication to Materialize Own pipeline reliability, orchestration, alerting, and observability across batch and streaming systems - ensuring data is fresh, accurate, and well-monitored Roll up your sleeves to provide analytics support when needed - building dashboards in Sigma, performing complex analyses, and partnering directly with business stakeholders to deliver insights, and promoting use of self-service AI analytics tools. In terms of qualifications, we're seeking: About you: A data professional yearning to solve big-picture problems, learn new things, seek answers in data, who finds comfort in uncertainty A strong communicator, who thinks in terms of solutions instead of tools, and can clearly explain sophisticated systems to technical and non-technical audiences Engineering-minded with a strong bias towards action, delivering results quickly with iteration instead of waiting for perfection Strong prioritization and organizational skills the ability to juggle many tasks at once in a fast-paced, entrepreneurial environment Experience implementing advanced alerting and monitoring and building resilient systems and processes A strong bias towards being AI-forward, leveraging AI coding assistants (Cursor, Claude Code, Devin) and MCP servers (dbt, BigQuery) to automate processes and create leverage for the business A heart-first contributor who is able to deliver complex projects with multiple stakeholders.
Lead Software Engineer - Platform Engineering Databricks JPMorgan Chase & CoLead Software Engineer - Platform Engineering DatabricksJersey City, NJAs a Lead Software Engineer at JPMorganChase within the Chief Data Analytics Office - AIML Data Platforms Team, 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. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
Software Engineer 5 - Model Development and Management, AI Platform Netflix IncSoftware Engineer 5 - Model Development and Management, AI PlatformNY$466,000–$750,000 / yearWe are seeking an ambitious software engineer to join the Model Development and Management team, that is building the self-serve user interface layer for Netflix's MLP in order to accelerate the core loop of model creation, evaluation, experimentation, and deployment. What we are looking for: Experience developing platform solutions - SDKs, developer frameworks, or internal tooling used by ML Researchers, ML Engineers, and Data Scientists, emphasizing a user-first approach and demonstrating strong user empathy.
Staff Machine Learning Engineer - Search Warner Bros. Discovery IncStaff Machine Learning Engineer - SearchNew York, NY$192,570–$357,630 / yearThis role will own the end-to-end search algorithm innovation from retrieval and ranking to personalization and experimentation, impacting how millions of users discover content globally. About You: We're looking for a Staff Machine Learning Engineer to lead the design and evolution of ML and AI driven Search algorithms for our global streaming app, HBO Max.
Engineering Manager-Technical Product Owner PricewaterhouseCoopers LLPEngineering Manager-Technical Product OwnerFlorham Park, NJAt least a Bachelors degree or, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in Engineering Product Management for each missing year of college is required. In this capacity, you will help lead and coordinate end-to-end execution of technology initiatives-driving disciplined project planning, proactive stakeholder communication, and consistent service delivery across cross-functional engineering teams.
Senior Manager of Software Engineering -Front office trading JPMorgan Chase & CoSenior Manager of Software Engineering -Front office tradingJersey City, NJAs a Manager of Software Engineering at JPMorgan Chase in the Corporate Technology -Treasury & Chief Investment Office Technology team, you play a pivotal leadership role by providing advanced technology solutions both individually and as a technical coach and mentor to a team of talented and driven software engineers. Anticipates dependencies with other teams and leads evaluation sessions with external vendors and internal teams to drive outcome-oriented designs and ensure applicability within existing systems and information architecture.
Desk Strats Sumitomo Mitsui Banking CorpDesk StratsNew York, NY$157,000–$225,000 / yearThe individual will work closely with traders and other front office users, as well as Model Validation, the technology team, and Middle Office, to develop and maintain pricing tools, investigate issues, improve desk processes, and support the ongoing enhancement of analytics and infrastructure. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
Manager of Software Engineering - Data Analytics JPMorgan Chase & CoManager of Software Engineering - Data AnalyticsJersey City, NJOur 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. 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.
Senior Penetration Tester - Web & Hardware/IoT JPMorgan Chase & CoSenior Penetration Tester - Web & Hardware/IoTJersey City, NJWorking knowledge of testing approaches for connected devices/IoT and purpose-built banking devices (e.g., ATMs, POS), including common attack surfaces such as exposed services, remote administration paths, authentication/authorization, hardening gaps, and insecure configurations. Experience assessing embedded systems / IoT devices in lab or onsite environments (e.g., device interface review, firmware/configuration analysis, and network/service exposure testing) relevant to ATM/POS ecosystems.
Lead software Engineer - Full Stack JPMorgan Chase & CoLead software Engineer - Full StackJersey City, NJAs a Lead Software Engineer at JPMorganChase within the 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. 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.
Senior Analytics Engineer AI Insurance SaaS Evolution IQSenior Analytics Engineer AI Insurance SaaSNew York, NY$200,000–$225,000 / yearData Pipeline Engineering: Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources into the data warehouse (e.g., cloud storage, databases, APIs). About Us: EvolutionIQ's mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone.
Senior Software Engineer - Full Stack The Guardian Life Insurance Company of AmericaSenior Software Engineer - Full StackNew York, NY$95,170–$156,355 / yearA self-starter, continuous learner and a technical enthusiast who can transform abstract ideas into actionable customer solutions, who thrives in pioneering emerging technology and partnering across the company with engineers, product managers, business partners and executive stakeholders. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian's jobs website (Careers at Guardian at https://www.guardianlife.com/careers
Full Stack Software Engineer, Data Science The Carlyle Group Inc.Full Stack Software Engineer, Data ScienceNew York, NY$150,000–$200,000 / yearFounded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations.
Lead Software Engineer - Trading Platforms JPMorgan Chase & CoLead Software Engineer - Trading PlatformsJersey City, NJStrong 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. As a Lead Software Engineer at JPMorgan Chase within Corporate Technology - Treasury Chief Investment Office (TCIO) Technology team, we look first and foremost for people who are passionate around solving problems through innovation and engineering practices.
Senior DevEx Engineer OpenPhone Technologies IncSenior DevEx EngineerNew York City, NY$187,000–$220,000 / yearYoull treat developer experience as a product - defining the strategy, driving platform adoption, and delivering measurable improvements to productivity, quality, and reliability across the software development lifecycle. The annual base salary range for this position is as follow, plus equity and benefits: SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $187,000 - $220,000 USD.
Senior Information Systems Engineer 2 Enlyte Group LLCSenior Information Systems Engineer 2NYRemote$89,000–$125,000 / yearWhether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. The role emphasizes building scalable, high-performance solutions that enhance agent workflows, automate customer interactions, and improve overall service delivery.
Software Engineer, Spark Platform DoorDash IncSoftware Engineer, Spark PlatformNew York, NY$130,600–$192,000 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Experience operating Apache Spark at scale on Amazon EMR, Databricks, or an in-house deployment - with a focus on platform operations (runtime upgrades, cluster lifecycle, shuffle, observability, multi-tenant scheduling) rather than authoring individual Spark jobs.