Trabajos java en Estados Unidos

We are currently sourcing for a Principal Trading Engineer (Java, Algo, SOR) for crypto Trading to work in Jersey City, New Jersey. The Role The Principal Trading Engineering (Java, Algo, SOR) will be working in development and delivery of high quality, timely and maintainable software solutions in an Agile environment which meet functional and non-functional business requirements. This role will involve partner & stakeholder engagement, design and release support. In this role, you will be an integral part of the Trading Team where you’ll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. This is a hands-on role where you will write code for product features. It is a great opportunity to build secure, scalable, resilient cloud-based services utilizing modern software development practices. This is a hands-on, individual contributor role where you will be responsible for: * Designing and implementing technology solutions for the Fidelity Digital Assets® business * High Performance algorithms for trading / crypto trading * Working closely with our business partners to contribute to business-critical initiatives * Demonstrate software engineering excellence through continuous integration, continuous deployment * Keeps current with IT blueprint, frameworks and technologies that would benefit us and improve our productivity; guides junior team members on technology * Collaborate with multiple stakeholders/large cross functional teams as part of work delivery * Follows practices and contribute towards innovative solutions to increase productivity * This is a hands-on role where you will write code for product features * Set technical direction for software developers by concluding design with other tech leads and architecture The Expertise and Skills You Bring * Bachelor's degree in computer science or related field required * 10+ years of trading engineering experience * Experience in Capital markets or cryptocurrency specifically with exposure to Trading, Algo Trading * Strong background in designing and developing low latency trading systems * Knowledge of WebSocket and FIX protocols * Experience in building matching engine, OMS/EMS or exchange-connectivity platform * Experience using kernel bypass e.g. Solarflare OpenOnLoad * Extensive experience with modern Java using zero GC pattern * Highly proficient in ultra-low latency design patterns and optimizing trading systems * Hands on experience with low latency messaging products, such as Aeron, Solace or 29West * Proficient in SQL and a working knowledge of relational and time series databases * Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services * An understanding of microservice architecture and cloud-based deployments * An understanding of sequencer architecture * Ability to build reliable software that can withstand unreliable environments * Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome * Solid analytical, communication, and organizational skills * An interest in and experience with cryptocurrencies and a passion for keeping up to date in the space * Have the drive and ability to deliver software with a high degree of automation * Proficient with version control systems and can handle development for multiple releases in parallel * Have the spirit and willingness to contribute to org level innovation * Have a learning mindset and can demonstrate versatility in addition to your specialization * Should have the ability to work effectively with both partners and project team members * Have knowledge of Agile methodologies or iterative development processes * Have knowledge of Acceptance test-driven development a plus. * Have ability to take ownership * Coach team members and take accountability for the deliverables * Excellent collaboration and Interpersonal skills * Great attitude, being a mentor, team player and effective contributor * You have a focus on productivity The Team Fidelity Digital Assets®, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets® adopts an entrepreneurial culture and startup approach while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm’s tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. The Fidelity Digital Asset Trading Team is responsible for platform services and APIs that manage trading of cryptocurrency. Platform contains a crossing engine and a smart router that would connect and send client orders to other exchanges and liquidity providers. In addition to aggregating market data and routing orders the platform also includes multiple internal/external facing user interfaces and API and services to support the platform. #cryptojobs The base salary range for this position is $126,000-255,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Information Technology

We are currently sourcing for a Vice President Trading Engineer for Crypto Trading to work in Jersey City, New Jersey. The Role Vice President Trading Engineer will be working in development and delivery of high quality, timely and maintainable software solutions in an agile environment which meet functional and non-functional business requirements. This role will involve partner & stakeholder engagement, design and release support. * Designing and implementing technology solutions for the Fidelity Digital Asset business * High Performance algorithms for trading / crypto trading * Working closely with our business partners to contribute to business-critical initiatives * Demonstrate software engineering excellence through continuous integration, continuous deployment, * Keeps current with IT blueprint, frameworks and technologies that would benefit us and improve our productivity; guides junior team members on technology * Collaborate with multiple stakeholders/large cross functional teams as part of work delivery * Follows practices and contribute towards innovative solutions to increase productivity * This is a hands-on role where you will write code for product features * Set technical direction for software developers by concluding design with other tech leads and architecture. The Expertise and Skills You Bring * Bachelor's degree in computer science or related field required * At least 12 years of software engineering experience * Strong background in designing and developing low latency trading systems. * Experience in building SOR, Algo engine, or exchange-connectivity for Equities or Crpto. * Experience using kernel bypass e.g., Solarflare OpenOnLoad. * Extensive experience with modern Java using zero GC pattern. * Highly proficient in ultra-low latency design patterns and optimizing trading systems. * Hands on experience with low latency messaging products, such as Aeron, Solace or 29West. * Knowledge of FIX protocols * Proficient in SQL and a working knowledge of relational and time series databases * Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services * An understanding of cloud-based deployments using Kubernetes and AWS * Ability to build reliable software that can withstand unreliable environments * Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome * Solid analytical, communication, and organizational skills * An interest in and experience with cryptocurrencies and a passion for keeping up to date in the space. * Have the drive and ability to deliver software with a high degree of automation * Proficient with version control systems and can handle development for multiple releases in parallel * Have the spirit and willingness to contribute to org level innovation * Have a learning mindset and is able to demonstrate versatility in addition to your specialization * Should have the ability to work effectively with both partners and project team members * Have Knowledge of Agile methodologies or iterative development processes * Have Knowledge of Acceptance test-driven development a plus. * Have Ability to take ownership * Coach team members and take accountability for the deliverables * Excellent collaboration and Interpersonal skills * Great attitude, being a mentor, team player and effective contributor * You have Focus on productivity * Experience in Capital markets or Crypto Currency specifically with exposure to Trading, Algo Trading. The Team Fidelity Digital Assets®, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets® adopts an entrepreneurial culture and startup approach while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm’s tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. As a Software Engineer you will be an integral part of the Trading team. You’ll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. This is a hands-on role where you will write code for product features. It is a great opportunity to build secure, scalable, resilient cloud-based services utilizing modern software development practices. You will get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. The Fidelity Digital Asset® Trading Team is responsible for platform services and APIs that manage trading of crypto currency. Platform contains a crossing engine and a smart router that would connect and send client orders to other exchanges and liquidity providers. In addition to aggregating market data and routing orders the platform also includes multiple internal/external facing user interfaces and API and services to support the platform. The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Information Technology

Senior Manager, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’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. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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’s offer letter. 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. 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 ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ 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. 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).

Distinguished Engineer - API Platform (GraphQL)(Remote-Eligible) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Capital One is open to hiring a Remote Employee for this opportunity. * Bachelor’s Degree * At least 7 years of experience in General software * At least 7 years of experience in Software engineering and Solution architecture * 10+ years of professional experience coding in one of the following software engineering languages (Golang, Rust, JavaScript, Python or Java) * 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support * 5+ years of experience designing, building and operating large scale distributed systems * 5+ years of experience with AWS * 5+ years of experience with DevOps and AWS IaC * 3+ years of experience with GraphQL technologies * 3+ years of experience with Authentication and Authorization Technologies (implementing GraphQL security including fine grained authorizations, rate limiting , query complexity analysis) * 3+ years of experience with SQL and NoSQL databases * Experience operating with a Site Reliability (SRE) mindset and culture Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Engineer 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’s offer letter. 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. 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 ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Director, Distinguished AI Engineer (Remote-Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for keeping up to date with the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One is open to hiring a Remote Employee for this opportunity. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer 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’s offer letter. 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. 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 ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Distinguished Machine Learning Engineer- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelors Degree * At least 7 years of experience in Software Engineering * At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 6+ year of experience deploying machine learning models * Ability to understand deploying Machine Learning models in production environments at scale * Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer 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’s offer letter. 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. 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 ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Distinguished Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 5 years of experience in data architecture Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * 1+ year of experience deploying machine learning models 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, or another type of work authorization). 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer 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’s offer letter. 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. 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 ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Manager, Software Engineering, Back End - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager of Software Engineering, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. What You’ll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: * Bachelor’s Degree * At least 6 years of professional software engineering experience (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master’s Degree * 9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js * 3+ years of experience in big data technologies * 3+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of experience building, scaling, and optimizing ML systems * 2+ years of experience leading teams developing ML solutions * 3+ years of experience with AWS, GCP, Azure, or another cloud service * 4+ years of experience in open source frameworks * 7+ years of people management experience * 2+ years of experience in Agile practices 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). 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering 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’s offer letter. 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. 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 ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ 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. 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).

Grow your career an innovative global bank in Jersey City, NJ as a Big Data Developer with strong Java, Hadoop, Scala, Spark expeirence. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week. \nJoin one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you. \nContract Duration: 12+ Months Required Skills & Experience • 10+ years hands-on IT experience, • 5+ years of strong Big Data development experience along with troubleshooting skills with technologies like Spark, Java/Scala and Hive., • Must have hands-on development execution experience in building Java/Scala, Spark, Kafka, Hadoop, and Spring Boot based applications., • Experience with Spark and Hadoop ecosystem (HDFS, Yarn, Zookeeper)., • Basic SQL queries and optimization in Hive, Impala., • Proficiency in Python and MongoDB, • Basic Data warehousing concepts like SCD2, • Experience with Kafka, Elastic, • Domain knowledge in financial services\n\nWhat You Will Be Doing, • Hands-on coding Big Data development including building Java/Scala, Spark based applications., • Will troubleshoot technologies like Spark, Java/Scala and Hive., • Will use SQL queries on Hive/Impala as part of big data development., • Perform coding, technical review and resolve technical challenges., • Responsible for overall deliverables and highlight any risk., • Work under pressure and manage deadlines or unexpected changes in expectations or requirements

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an Associate MLE / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have familiarity fine-tuning and evaluating LLMsYou have familiarity building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products, • This role is based in New York.

Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 4,500 professionals, we’re committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale. At New Era, you’ll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Driven by values like Community, Integrity, Agility, and Commitment, we nurture our people to deliver exceptional customer service. If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together. SUMMARY: Experience in Site Reliability Engineering (SRE) and DevOps practices, focusing on DNS, DHCP, and IP Address Management (DDI) systems. This role involves supporting the reliability, scalability, and performance of our infrastructure, as well as automating processes to improve efficiency. HIERARCHY: N/A PRIMARY DUTIES: • Assist with the deployment, implementation, operations, and product life-cycle management of critical services and solutions within the global, • enterprise environment., • Help resolve incidents and problems associated with DNS, DHCP, IPAM, NTP, and Proxy., • Manage day-to-day checkouts in the DDI space., • Follow established policies and procedures for preparing and executing break-fix changes, handling incidents, and escalations., • Maintain existing runbooks and create new documentation., • Ensure assigned service tickets, incidents, and changes are updated and closed within agreed SLA., • Prepare detailed RCA reports and track respective action items until closure., • Help define, operationalize, and transition sustainable processes to manage, maintain, support, and operate DDI Infrastructure., • Communicate and collaborate with cross-platform teams on technical challenges and solutions., • Maintain accurate diagrams, inventory, and documentation on DDI products deployment and infrastructure., • Identify key risk areas and suggest new process improvement opportunities., • Develop service validation and testing capabilities and dashboards to monitor the overall health and performance of the security solutions., • Ensure DDI services are running within expected performance thresholds., • Peer review and approve changes/tasks., • Provide engineering support to other teams in support of making configuration changes., • Collaborate with other internal/external teams such as Network Operations, Architecture and Engineering, vendors, and clients on new, • configuration designs and deployments., • Design, develop, test, and maintain high-quality software solutions following best practices and coding standards., • Participate in on-call rotations for incident response and proactive incident measures., • Monitor infrastructure using SRE tools and suggest improvements as necessary., • Automate infrastructure across the CI/CD pipeline. COMPENTENCY: Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • Some experience in SRE and DevOps roles, with a focus on DDI systems., • Basic knowledge of DNS, DHCP, and IP Address Management., • Proficiency in scripting languages such as Python, Shell, or Perl. Java is a plus., • Experience with infrastructure-as-code tools like Ansible, Terraform, and Jenkins., • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud., • Good problem-solving skills and attention to detail., • Strong communication and collaboration skills., • Basic understanding of networking concepts such as TCP/IP, DNS, HTTP, and routing., • Experience developing web applications using frameworks like Spring MVC, DropWizard, or React. Preferred Qualifications: • Understanding and working knowledge of enterprise DNS/DHCP and IPAM architecture and management capabilities., • Experience with DDI tools like VitalQIP and Bluecat., • Knowledge about External DNS, ISP, Domain registration, and DNSSEC., • Understanding CA/SAML certificate renewal process., • Good understanding of Network Time Protocol (NTP) and clock management., • Experience with web servers like HTTPD, Apache Tomcat, etc., • Good understanding of network and basic protocols (e.g., TCP, UDP)., • Technical experience with IP Anycast design, iBGP/eBGP network routing protocol, and Quagga., • Hands-on experience in troubleshooting applications in Python and/or Perl. Understanding of REST APIs used by the enterprise., • Strong proficiency in Linux management and BASH scripting., • Understanding of F5 LTM/GTM or any load balancing technology., • Experience in Splunk log and network packet captures analysis for troubleshooting., • Understanding dashboards like Kibana, Grafana, Netcool, etc., • Demonstrable project management experience with evidence of successful project delivery., • Highly self-motivated and the ability to work independently as well as in a global team environment., • Understanding database data modeling (SQL and NoSQL)., • Experience in using cryptography algorithms., • Understanding message queueing products (RabbitMQ, Kafka)., • Strong understanding about alert enablement, Monitoring tools like SevONE, Nagios, ThousandEyes. REQUIRED EDUCATION: Bachelor’s Degree or Equivalent EXPERIENCE: 5+ Years LANGUAGE SKILLS: English PHYSICAL DEMANDS: • Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment., • Regular, repetitive movements such as typing, mouse movements, and scrolling. Ability to hear and understand spoken communications, both in person and via remote communication tools (e.g., phone, video conferencing)., • Ability to see and read computer screens and printed documents, as well as adjust focus. This includes prolonged periods of looking at a computer screen. WORK ENVIRONMENT: Hybrid 3 days onsite at Jersey City, NJ facility (there is also the option to work 3 days onsite at New York, NY) EXPECTED HOURS OF WORK: Monday through Friday from 9am to 5:30pm with occasional work on weekends or off hours as dictated by client onsite management. Total shift not to exceed 8 hours of work, 1 hour lunch, two 15 minute breaks. New Era Technology, Inc., and its subsidiaries (“New Era” “we”, “us”, or “our”) in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”). View our Privacy Policy here ______New Era Technology, Inc., and its subsidiaries (“New Era” “we”, “us”, or “our”) in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”). View our Privacy Policy here

Principal SW Engineer | Systematic Trading | Equities | Portware | Java. Fullstack Software Engineering.

Senior Software Engineer, Machine Learning Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 5 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. We work across a broad set of domains, including user-facing products like liquidity offerings and reward programs, infrastructure for machine learning and experimentation, real-time fraud detection and identity protection, and large-scale transaction processing across multiple payment rails. The Machine Learning (ML) Engineering function at Current is dedicated to delivering robust, scalable, and production-ready ML solutions that power our core banking products. ML engineers manage the full lifecycle of ML model development, from design and training to deployment and maintenance, while ensuring seamless integration into production use cases. They bring deep experience in distributed systems engineering, enabling the design of resilient, high-performance infrastructure. They also build and maintain monitoring systems for production deployments, supporting real-time operations, governance, and continuous improvement to deliver measurable business value at scale. With data-driven products at the heart of Current’s strategy, the need for reliable, responsive, and production-grade ML solutions has never been higher. ML engineering ensures that the models shaping our liquidity offerings, member safety, and efficient operations are not just innovative but operationally robust and fully aligned with business objectives. WHAT TO EXPECT: • Integration with Core Engineering:, • ML Engineering is a pivotal part of the broader engineering organization. While sharing many standards, practices, and methodologies with traditional engineering teams, ML engineers bring specialized knowledge in machine learning frameworks, scalable infrastructure, data engineering, and model operations., • Collaboration with Data Experts:, • ML Engineering collaborates with Data Science in the designing, developing, and deploying scalable machine learning models and features into production. They bridge the gap between data science research and engineering by optimizing model performance, ensuring reliability, and integrating models into production systems. This role involves working closely with Data Scientists to understand model requirements, build efficient pipelines, monitor model health, and support continuous improvement of ML solutions in a production environment., • Partnering with Business Stakeholders:, • ML engineers act as technical ambassadors, clearly communicating complex concepts and collaborating across product, data, and business domains. Their business acumen ensures that technical solutions are always aligned to company goals and member needs. ABOUT YOU: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, • 5+ years of experience in engineering, with 2+ years in ML engineering, • Demonstrated success in contributing to production ML systems at scale., • Expertise in Java, Python, ML frameworks (SageMaker, Vertex AI, Kubeflow, etc.), cloud platforms (AWS, GCP, Azure), and modern MLOps practices., • Strong understanding of data privacy, security, and compliance in ML environments. BENEFITS: • Competitive salary, • Meaningful equity in the form of stock options, • 401(k) plan, • Discretionary performance bonus program, • Biannual performance reviews, • Medical, Dental and Vision premiums covered at 100% for you and your dependents, • Flexible time off and paid holidays, • Generous parental leave policy, • Commuter benefits, • Fitness benefits, • Healthcare and Dependent care FSA benefit, • Employee Assistance Programs focused on mental health, • Healthcare advocacy program for all employees, • Access to mental health apps, • Team building activities, • Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Do you love working with cloud infrastructure at scale? Optimizing the last bit of performance and efficiency out of applications that get hundreds of thousands of requests per second? Digging deep to determine the root cause of an outage? Building and maintaining infrastructure toolkits that hundreds of developers will use? Maintaining large distributed databases? Come work on the Site Reliability & Infrastructure Engineering team at Vimeo! Your job will be to design, develop, deploy, maintain, and optimize the platform that powers an application that is part of the infrastructure of the Internet: Vimeo. SRE at Vimeo spans the domains of platform engineering, database administration, release engineering, and internal tools. What you’ll do: • Build, secure, and evolve platforms which power the applications that make up Vimeo, • Build and maintain tooling which makes manual infrastructure work obsolete and enables self service for engineers, • Improve observability and reliability of applications to reduce outages to an absolute minimum, while reducing MTTA and MTTR, • Write and maintain thorough documentation to share with your teammates around the world, allowing them all to function as a cohesive unit, • Contribute to an internal self-service infrastructure platform used by all engineers for application development and deployment., • Participate in a weekly on-call rotation shared between offices in the US and India, which includes responding to production incidents and providing internal support to other engineers at Vimeo, • Whatever it takes (within reason) to make Vimeo faster, simpler, more scalable, more reliable, and more efficient to operate Skills and knowledge you should possess: • At least 5+ years of professional experience in software development or DevOps with high proficiency in at least one general-purpose programming language (C/C++, Go, Java, Ruby, PHP, Python, etc.), • Deep understanding of the architectural patterns of high-scalability distributed systems, • Expert-level proficiency maintaining, optimizing, and administering Kubernetes deployments, • Strong knowledge of container orchestration, Linux system internals, networking, and secure computing., • Significant experience with major cloud providers (Google Cloud, AWS), • Significant experience with deploying and administration of MySQL, • Experience with “Infrastructure as Code” platforms such as Terraform, • Experience with observability systems, such as Datadog, Grafana, Prometheus, VictoriaMetrics, OpenCensus, and Graphite Bonus points (nice skills to have, but not needed): • Knowledge of ArgoCD, Atlantis, Varnish, Memcached, and/or Chef, • Experience with generalized build systems (make, bazel, please, etc.) or language-specific build systems (SWC, Turborepo, etc.). Base Salary Range: • NYC Metro, Bay Area, Seattle, & Los Angeles: $150,000 - $207,000 At Vimeo, we strive to hire and nurture amazing talent across the globe. Actual salaries will vary depending on factors including but not limited to experience, specialized skills, internal alignment, and location. Base salary is just one component of Vimeo’s total rewards philosophy. We offer a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base! Other rewards may include variable compensation and Restricted Stock Units (RSUs). We also offer paid time off, generous 401k match, commuter benefits, Health Savings Account (HSA), Flexible Spending Account (FSA), fertility reimbursement, group term life insurances, wellbeing resources, and more. #LI-MM1 About Us: Vimeo (NASDAQ: VMEO) is the world's most innovative video experience platform. We enable anyone to create high-quality video experiences to better connect and bring ideas to life. We proudly serve our community of millions of users – from creative storytellers to globally distributed teams at the world's largest companies – whose videos receive billions of views each month. Learn more at ___. Vimeo is headquartered in New York City with offices around the world. At Vimeo, we believe our impact is greatest when our workforce of passionate, dedicated people, represents our diverse and global community. We’re proud to be an equal opportunity employer where diversity, equity, and inclusion is championed in how we build our products, develop our leaders, and strengthen our culture.

Are you a seasoned technical leader who thrives at the intersection of AI innovation and enterprise impact? Do you excel in architecting scalable AI systems while mentoring teams to push the limits of what's possible with large language models (LLMs)? Are you passionate about delivering transformative solutions using cutting-edge AI paradigms like Retrieval Augmented Generation (RAG), AI Agents, and custom model fine-tuning? If so, we invite you to apply to join our forward-thinking AI Platform Team. As a Senior Staff Engineer Full Stack Engineer at Ridgeline, you will play a strategic role in shaping our AI capabilities, setting the technical vision, and delivering game-changing tools for the investment management industry. With your deep expertise in AI systems, you’ll lead efforts to solve complex challenges, enhance platform capabilities, and drive innovation using state-of-the-art technologies. What will you do? • Lead the design and delivery of next-generation AI capabilities, including integrating LLMs, RAG workflows, and AI Agents into Ridgeline’s platform., • Define and execute the AI strategy, collaborating with product and engineering leaders to identify high-value opportunities., • Architect scalable, robust AI pipelines that can operate seamlessly in cloud-based production environments., • Research and implement state-of-the-art AI models and algorithms, ensuring Ridgeline maintains a competitive advantage., • Mentor engineers across the organization, fostering technical growth and advancing a culture of innovation., • Collaborate with cross-functional teams to deliver end-to-end AI-driven solutions, aligned with customer needs and business goals., • Establish best practices for AI development, ensuring performance, reliability, and ethical AI standards., • Stay ahead of AI advancements and evaluate their applicability to Ridgeline’s platform, sharing insights to keep our team at the forefront of AI innovation. Desired Skills and Experience • 10+ years of software engineering experience, with at least 5 years focused on AI/ML development., • Proven track record of architecting and deploying machine learning systems, particularly LLMs, in production environments., • Deep expertise in AI Agent frameworks, Retrieval Augmented Generation (RAG), and fine-tuning of large models., • Exceptional programming skills in Python and familiarity with languages like Kotlin or Java., • Strong knowledge of cloud platforms (AWS preferred) and distributed systems., • Demonstrated ability to lead and mentor engineers, driving technical excellence across teams., • Strong communication and collaboration skills to navigate complex projects and deliver impactful solutions. Bonus • Experience with Reinforcement Learning (RL), multi-agent systems, LLM model evaluation., • Publications in AI conferences or contributions to high-profile open-source projects., • Knowledge of investment management workflows and opportunities for AI-driven solutions in finance. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America’s Best Startup Employers.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the ___. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits [For New York and California Based Only] The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below. The typical starting salary range for this role is: $200,000-$235,000. The typical starting salary range for this role in the select locations listed above is: $212,500-$250,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our ___ for a more comprehensive overview of our perks and benefits. #LI-Hybrid

Xpansiv®, a trailblazer in the energy and environmental commodities market, operates the integrated, open, and neutral market platform designed to accelerate the global energy transition. Xpansiv provides thousands of market participants and intermediaries with access to the widest possible range of energy transition markets, through its suite of solutions, including the world’s largest environmental commodities trading platform, where billions of assets cross per year. Xpansiv’s end-to-end technology platform services the entire life cycle of environmental commodities, connecting diverse markets and market participants across the world and enabling stakeholders to deliver transparent and trusted environmental claims to address the growing demand for energy transition. Leveraging its extensive industry knowledge and proven technology portfolio, Xpansiv assists companies seeking to identify and mitigate risk, streamline the management of their environmental assets, and comply with regulations, caps and commitments. Position Summary: Xpansiv is seeking a Senior Java Developer to work on design and development of Xpansiv Connect application, one of Xpansiv’s core product offerings, and to serve as the backup to the technical lead for the system. \n Responsibilities: • As a senior Java developer, perform hands on coding work to implement enhancements and improvements to Xpansiv’s Xpansiv Connect application, • Act as a backup to the technical lead for the application. Be able to perform responsibilities like task allocation, prioritization, resolution of technical issues, etc., • Perform reviews of code delivered by more junior developers, • Work with Xpansiv’s head of architecture to develop and maintain architectural designs for system enhancements and improvements that meet both functional and non-functional requirements, • Interact with quality assurance engineers to triage and resolve code defects, • Work with DevOps engineers to perform builds, releases, and deployments as well as on other infrastructure-related tasks, • Help build an engineering culture to address that consistently produces high-quality,scalable, architecturally sound systems that align with the company’s business needs, while continually evolving and innovating Qualifications: • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or equivalent from an accredited college or university, • 10+ years development experience with Java/Java Enterprise technologies, • 3+ years of experience as a technical lead or a backup, • Solid computer science fundamentals: data structures, algorithms, multi-threaded programming, etc., • Proven track record of development of scalable, high-performance, and distributed applications and services Skills & Abilities: • Strong interpersonal/communication skills, covering interactions with internal and external stakeholders, • Ability to manage work withteam members located in different time zones and with varying skillsets, • Be a self-starter and work well independently as well as in a collaborative team environment, • Ability to quickly absorb technical, business, and market concepts, • Strong attention to detail and to time management, • Proven ability to execute calmly under tight deadlines, • Demonstrated problem solving and troubleshooting abilities, • Extensive experience doing development using Java 8, • Extensive experience working with Spring Core (5+ years), • Extensive experience developing services that run on Spring Boot, • Extensive experience with the following web standardsHTTP, OAuth, REST, OpenAPI, • Extensive experience working with container solutions such as Docker/Kubernetes, • Experience with software architecture and design, including Service Oriented Architectures and design patterns, • Desire to grow professionally, with ongoing education and professional growth, always learning with a deep curiosity as to what’s next and what can be improved \n Here at Xpansiv, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in building trust and transparency in global efforts toward net-zero future. Xpansiv is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. Note to Recruiters: Xpansiv does not accept unsolicited resumes or referrals from placement agencies, staffing vendors or other external parties seeking recruiting fees without a signed formal agreement.

The Senior e-Trading Engineer, VP is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. We are seeking a highly skilled Senior Java Developer to join our Cash Equities Technology team. This role is ideal for developers passionate about building low latency, high throughput systems that drive electronic Equities trading. The successful candidate will combine deep Java expertise with a strong understanding of the equities business, the FIX protocol and OMS while demonstrating a collaborative and delivery-oriented mindset. Responsibilities: • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements, • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint, • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation, • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals, • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions, • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary, • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency., • Design, develop, and optimize low latency and high throughput Java applications for Equities trading., • Implement scalable, ultra-low latency solutions for real-time order handling., • Develop and maintain integration with the FIX protocol to support electronic trading workflows., • Partner closely with traders and business analysts to deliver mission-critical solutions., • Create and maintain robust test coverage, including complex unit and integration tests using Cucumber., • Contribute to system architecture, performance tuning, and scalability improvements., • Work with DevOps and support teams to ensure operational stability and high system availability., • Leverage AI-powered development tools like GitHub CoPilot to boost productivity and innovation. Qualifications: • 6-10 years of relevant experience in Apps Development or systems analysis role, • Proven experience in low latency, high throughput system design and optimization., • Strong knowledge of Equities trading systems and the FIX protocol., • Proficient with Linux development, including Shell scripting and Python., • Hands-on experience with IntelliJ IDEA and Visual Studio Code., • Strong grasp of Gradle, Maven, and automated build processes., • Familiarity with DevOps tools such as Artifactory, GitHub, and uDeploy., • Experience with Single/multithreaded programming, garbage collection tuning, and memory management., • Familiarity with messaging systems like Kafka or Solace., • Understanding of modern CI/CD pipelines and containerization (Docker, Kubernetes)., • Experience working in Agile/Scrum teams and globally distributed environments., • Excellent problem-solving skills, with a focus on root cause analysis and continuous improvement., • Strong communication skills and a collaborative, team-oriented attitude Education: • Bachelor’s degree/University degree or equivalent experience, • Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Primary Location: Jersey City New Jersey United States Primary Location Full Time Salary Range: $142,320.00 - $213,480.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Anticipated Posting Close Date: Aug 01, 2025 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review ___. View Citi’s ___ and the ___ poster.

The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. The Growth and Data team at Hebbia is the engine that fuels the entire AI platform with the data it needs to reason and retrieve. We’re responsible for sourcing, indexing, and enriching content from every corner of the knowledge universe — spanning private enterprise data, public data, and third-party platforms — and delivering it seamlessly to power user workflows and agentic research. We build robust integrations with platforms like Snowflake, S3, SharePoint, Dropbox, and beyond, enabling organizations to securely unify their data ecosystems. From discovery and search to retrieval-augmented deep research within chat matrix frameworks, the data we deliver quite literally powers every part of the AI platform. Our team works in person 5 days a week at our SoHo office in NYC. As a Backend Software Engineer on Hebbia’s Growth and Data team, you will build and maintain the powerful backend systems that drive user engagement and fuel Hebbia's continued expansion. Your role involves architecting and implementing robust APIs, services, and infrastructure that empower customers with tailored, high-value experiences—such as personalized data views, streamlined management tools, and powerful integrations that uniquely amplify the value of Hebbia. Collaborating closely with product teams, designers, and frontend engineers, you'll take ownership of core backend features from initial design through deployment, ensuring scalability, reliability, and performance. Your technical expertise, strategic thinking, and proactive problem-solving will directly impact customer success, unlocking innovative solutions that accelerate adoption and growth of Hebbia’s platform. • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs., • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume., • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents., • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred., • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering., • Proficiency in building backend and API systems using technologies such as Python, Java, or Go., • Extensive experience with cloud platforms (e.g., AWS), • Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis, • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders., • Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment., • Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies., • Embraces rapid prototyping with an emphasis on user feedback, • Autonomous and excited about taking ownership over major initiatives, • Bonuses:, • Experience building agentic systems or LLM enabled products., • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc). The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications that fall outside our standard framework. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite

Citibank, N.A. seeks an Applications Development Senior Programmer Analyst for its Rutherford, New Jersey location. Duties: Design, develop and maintain micro-services as part of the credit enterprise application written in Java using object-oriented programming concepts. Employ relational database knowledge to establish and maintain relationships between loan-related data objects, ensuring data integrity and efficient retrieval. Implement integration patterns through RESTful web service as well as messaging using Kafka. Collaborate with cross-functional teams to understand the business requirements and translate them into technical solutions. Test automation to ensure quality, reliability and functionality of an application. Build lending calculation formula across equity and commodity asset classes. Implement notification workflows to help re-processing the lending data store object swiftly. Oversee and allocate different support tasks among engineers on the team. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Computer Engineering, Computer Science, or related field and 5 years of progressive, post-baccalaureate experience as a Systems Engineer, Delivery Module Lead, Java Developer, or related position involving micro-services and relational database development, integration, and maintenance. 5 years of experience must include: Object-oriented programming using Core Java to design and implement, customizable and scalable application interface contracts, and integrate them with various systems across the organization; Designing data models in a relational database and integrating them with microservices to interact with the model using SQL queries; Messaging and object notifications publishing maintenance using Kafka; Code review and code coverage tool configuration; Engagement with UAT and Business for user acceptance criteria defining and documentation; Designing credit risk workflow for loan origination and credit and approval; Trades processing formula writing and platform modules and channels development; Product availability and location map development. Will also work from the Jersey City, NJ office up to 2 times/week. Applicants submit resumes at . Please reference Job ID #25845890. EO Employer. Wage Range: $179,982 to $179,982 Job Family Group: Technology Job Family: Applications Development Job Family Group: Job Family: Time Type: Full time Primary Location: Rutherford New Jersey United States Primary Location Full Time Salary Range: In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Anticipated Posting Close Date: May 23, 2025 Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review ___. View the "___" poster. View the ___. View the ___. View the ___ View the

Have the aptitude and desire to learn new technologies and skills. Have the aptitude and desire to learn new technologies and skills. Dhcp,SQL,Active Directory,VOIP,VMware,Customer Service,Windows,Trouble Shooting,Java,VPN,Sharepiont,hardware,Dns,Technical Support,Software Applications.

Development for customers requirement. Required Java(Java Spring Mybatis Hibernate or JPA) Go Linux Shell Application Development & Management (4 years).

The Full Stack Developer will be responsible for developing and maintaining DevOps solutions as well as working with and full stack java technologies. Full Stack Java Developer with DevOps. Implement frontend and backend components using and full stack java.

Core Java Developer (USC and GC only) New York City NY (Onsite Local Preferred).

MUST Experience working with Java 8 Spring Cloud Hibernate Spring Boot.MUST Experience with Microservices Rest services Soap development.MUST Solid grasp of web and backend application development.MUST Knowledge of Domain Driven Design concepts and microservices REST API design and implementation.MU

Title: Technical Lead (with Java).Location: Berkeley Heights NJ (3 Days) and Princeton NJ(2 Days) (based on client schedule).Integration Distributed BigData transformation solution.Experience with 8 years as a Technical Architect for microservices applications.Microservice Spring Boot Spring Cloud R

Location: Berkeley Heights NJ (3 Days) and Princeton NJ (2 Days) (based on client schedule).Integration Distributed Big Data transformation solution.Experience with 8 years as a Technical Architect for microservices applications.Microservice Spring Boot Spring Cloud RESTful services Kafka Swagger Do

Core Java Developer with Market Data/Fixed Income.Work location: Iselin NJ (Hybrid 3 days in a week) (Locals needed).Interview: Initial interview followed by face to face in NYCNY.Looking for a seasoned Java developer with a strong background in financial trading environments seeking to leverage mod

Java Developer to work on frontend as well as backend applications for ACH payments processing. Please note our AskHR representatives do not have visibility to your application status. Java Developer - Full Stack do at Fiserv.

Job Title: Lead Java Developer (Contractor).

Job Title: Core Java Developer w/d strong AWS Experience. Location: Dallas TX and New York City NY 4 Days onsite 1 day remote. Provide technical guidance and mentorship to junior developers fostering a culture of continuous learning.

Java Full-Stack Developer (Java React).Strong proficiency in Java/J2EE with solid experience in Kafka and its ecosystem.Excellent understanding of object-oriented programming principles.Experience with design patterns and architectural best practices.Ability to develop reusable Java libraries and w

NET,Hybris,Solution Architecture,Service-Oriented Architecture,Adobe Experience Manager,J2EE,Java,Oracle. Solutioning & Architecture Design:.

Senior SQL Backend Developer (Remote US) Heretto, a leader in content management solutions, is looking for outstanding humans that love delivering quality products. We’re a well funded & growing startup with a big heart and giant ideas. Come have a big impact as a Senior SQL Backend Developer. Role purpose: This role is a bit unique – you are a developer, but one who gravitates to the SQL aspect. You understand indexes, write contention, different join algorithms, execution plans. In short, Postgres is your happy place. The role also includes normal development, but your SQL is expert level. You will help craft the future of our platform. You understand code, but more importantly, how to write, optimize, and debug SQL. Responsibilities: • Writing, debugging, optimizing SQL, • Enhancing and maintaining back end code, • Develop backend code for our APIs and services, • Working with the product team to innovative content management solutions, • Collaborating with QA to automate testing, • Collaborating with DevOps to automate deployment, • Designing and implementing unit tests to ensure quality in our product, • Assisting customers or other team members when deep technical issues arise, • Improving our database and server-side technology Requirements: We care that you love building software, not about your current stack. Our core language is Java, but you won’t see a list of languages and toolkits here. • Friendly and positive attitude, • Flexibility is important, rigid is challenging, • You think in SQL, you and the query optimizer are friends, • You have worked in at least one large application, • You love solving problems – both business and algorithmic, • You have worked in a major cloud and understand the various services and patterns, • Strong English written and verbal communication skills, • Ability to periodically get together for in person collaboration (a few times a year) Our Tech Stack: Our software covers a lot of ground and uses a wide tech stack. Highlights include: • An amazing web editor which competes with products such as Google Docs., • A distributed backend architecture - which makes extensive use of cloud microservices to warehouse data, and to provide a powerful publishing architecture for our rapidly expanding list of clients., • Google Cloud (GKE, Pub/Sub, Cloud Storage, Cloud Functions, GKE Sandbox), • GCP and Azure, • Postgres and SQLite, • Javascript, Typescript, React, GWT (Google Web Toolkit), • Java (w/Spring Boot), TypeScript, NodeJS, • Git, Maven, Ansible How We Roll: At our core we are a product company full of pragmatists. • We care that you have built large applications, not about your current stack, • We care that you have worked with cloud and understand the various services and design patterns, • Ageism is dumb, we love people with experience, • Interview processes shouldn’t be torture, for either of us - you won’t be asked to invert a binary tree in 30 minutes or face any problem that requires a singular insight to solve Other: • Employment start: as soon as you’re available, • Employment end: indefinite, • Working hours: US Eastern Time, some 8am ET meetings, • Flexible working hours, • Full benefits, • Great team and atmosphere This position is full time, we will only consider candidates located in the US. No visa sponsorship. We operate on the Eastern Time zone. About Heretto: Headquartered in Rochester, NY, Heretto helps our customers deliver knowledge more quickly and consistently. Our product enables deploying knowledge content to customers at each of their touchpoints, in their language, and tailored to their needs. By adopting our software, our customers see significant savings in cost and time to market, while simultaneously driving a better customer experience. We are changing the status quo for knowledge publishing and finally resolving the plague of corporate knowledge silos. Our customers range from growing small businesses to Fortune 500 Enterprises who use our product to manage millions of topics and rely on us to maximize their use of structured content inside and outside their organizations. Our open architecture allows us to integrate with a variety of systems with a wide range of APIs bringing unique solutions to our clients’ content management needs. Heretto is a service mark of Jorsek, Inc. We are an Equal Opportunity Employer. Job Type: Full-time

At Squarespace, we're reimagining how people bring their ideas to life online. Our Product Engineering teams are at the heart of that mission — building the seamless, powerful experiences our customers rely on every day. As a Backend Engineer, you'll be part of a collaborative, high-impact team working to create scalable, reliable systems behind some of the most intuitive tools on the web. Whether you've been in the industry for three years or twenty, if you're passionate about designing elegant solutions— we want to hear from you. This is a hybrid role working from our NYC office 3 days per week. You will report to the Engineering Team Manager. We're hiring across several impactful product teams. Based on your experience and interests, you could join one of the following: • Website Foundations: Power the core of Squarespace's CMS — from high-performance APIs and efficient caching layers to evolving our monolithic codebase. This team owns the platform our website builder runs on — the crown jewel of Squarespace., • Checkouts + Payments: Redesign how customers subscribe to Squarespace — from choosing the right plan to checking out with their preferred payment method. This team focuses on creating flexible, transparent purchasing experiences., • Corporate Applications: Act as internal consultants, creating custom solutions for departments like Marketing, Legal, and Security. From modern web apps to high-volume event pipelines, this team builds the tools that help Squarespace grow from the inside., • Build scalable backend services in Java and related technologies., • Write clean, efficient code that powers high-traffic, production-ready systems., • Contribute to design decisions and architectural discussions., • Collaborate with engineers, designers, and product managers., • Create features from concept through implementation to launch., • 7+ years of professional experience in backend development using Java, Python, C, or similar languages, • Experience building large-scale, distributed systems, • Strong computer science fundamentals: data structures, algorithms, and system design, • Comfortable working in collaborative environments where feedback is valued, • A degree in Computer Science — or equivalent industry experience that speaks for itself, • You'll work with passionate, thoughtful engineers solving real-world problems., • You'll shape products used by millions of people around the globe., • You'll be supported in growing your skills and your career., • You'll find a workplace that values inclusivity, creativity, and curiosity., • A choice between medical plans with an option for 100% covered premiums, • Fertility and adoption benefits, • Access to supplemental insurance plans for additional coverage, • Headspace mindfulness app subscription, • Global Employee Assistance Program, • Retirement benefits with employer match, • Flexible paid time off, • 20 weeks for parental leave and up to 12 weeks to care for an ill family member, • Pretax commuter benefit, • Education reimbursement, • Employee donation match to community organizations, • 8 Global Employee Resource Groups (ERGs), • Dog-friendly workplace, • Free lunch and snacks, • Private rooftop, • Hack week twice per year The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors. In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include on-target commissions or overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,500 is headquartered in bustling New York City, with offices in Dublin, Ireland, Aveiro, Portugal, and coworking spaces in the UK, Netherlands, and Australia. For more information about our company culture, visit ___. Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. #LI-Hybrid Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process. Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding ___, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. As a Backend Engineer, you will work on building the APIs that power our products and give our learners a best-in-class experience. Our microservices infrastructure is composed of hundreds of endpoints serving hundreds of millions of requests per day. You will partner with your team members on identifying requirements and designing services that are fast, resilient, and cost-effective. You will have ownership over the entire lifecycle of your services and associated infrastructure, and ensure they are always operating well. Below you can find more information about the teams we're hiring for: Data Infrastructure Team: • As a Backend Engineer on the Data Infrastructure team, you will build tooling and infrastructure at scale to support Duolingo’s key data workflows from data visualization to A/B testing and AI. Enterprise Applications Team: • The enterprise application tooling team's mission is to provide tooling and engineering support for areas without traditional engineering support and for tools the entire organization leverages! We are responsible for the 2025 OKR “Pivot to tooling- and automation-first approach for People teamwork”. In this role, you will be utilizing generative ai, automation tools, and building DIY solutions to help improve the lives of employees across the organization! You will... • Collaborate on software projects with product design and backend aspects, • Develop, release, and maintain backend services and/or infrastructure, • Lead individual project priorities, milestones, and ensure we're always shipping You have... • A Bachelor’s degree in Computer Science or related technical field, • Strong competencies in data structures, algorithms, and software design, • Experience programming in Java, Python, or Kotlin, • Solid understanding of one or more database technologies Exceptional candidates will have... • Industry experience building high-traffic APIs using public cloud providers Take a peek at how we care for our employees' holistic well-being with our benefits ___. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the ___. We post a multi-level salary range for all of our roles. This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity. Salary Range: $148,800—$274,600 USD Take a peek at how we care for our employees' holistic well-being with our benefits___. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact ___. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the___.

Lab49 has an opportunity available for a Lead Java Engineer to lead work on complex and challenging projects aimed at driving transformative change for our top-tier Financial Services clients. Operating in an Agile environment, the Java Engineer will have strong server-side experience to work on next-generation financial systems. \n Responsibilities: • Develop distributed systems that handle actor-based concurrency, reactive programming, distributed in-memory data grids, and messaging, aiming to shape the future of financial technology stacks., • Collaborate on server-side JVM-based projects., • Engage proficiently with the Java or Scala JVM ecosystem stack (including Spring and its subprojects, Guice, Guava, Maven, Hibernate, Jetty, etc.)., • Adapt continuously to evolving technology landscapes., • Acquire proficiency in other technologies across the development stack, encompassing front-end and non-JVM ecosystems., • Collaborate with clients in iterative, project-based engagements, fostering self-organizing and focused teams to swiftly build innovative solutions., • Embrace collaboration, sharing, and learning from colleagues., • Commit to delivering quality code., • Demonstrate expertise in writing commercial-grade software applications., • Possess a profound understanding of multithreading and real-time software architectures., • Exhibit a genuine interest in and capability for solving real-world business problems, leveraging technology as an enabler., • Demonstrate determination to succeed despite obstacles and challenges, with a positive attitude favoring goal achievement over open-ended investigation. Required Skills and Experience: • 10+ years of hands-on experience in designing and building complex, commercial-grade applications in core, server-side Java, preferably Java 8+., • 5+ years of experience leading Agile teams., • Willingness to take accountability for the team’s actions and outcomes., • Proactive decision-making based on project and technology comprehension., • Commitment to sharing knowledge, guiding team members, and leading learning sessions., • Flexibility to adapt to changes in project requirements, technology, and team composition., • Experience in developing RESTful Web Services., • Test-driven development, including Unit and End-to-End Testing., • Familiarity with Agile software development methodologies (e.g., SCRUM or KANBAN)., • Experience in a CI/CD environment., • Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Math, or related work experience., • Knowledge of, experience with, and a demonstrated interest in global financial markets and financial products. \n The base salary range for this role is $200,000 - $240,000. However the above base salary range may vary depending on the individual's job-related knowledge, skills and experience. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance. Salary range disclosure as required by S9427A when hiring in New York. Our Hybrid Work Model At Lab49, we embrace a hybrid work model, offering you the flexibility to work from the office or remotely. We expect our Lab49ers to average 2-3 days per week in person and this could be at our midtown office in NYC or at a client site. We believe that both the flexibility and in person connection to each other and our clients build a collaborative culture and the opportunity to accelerate growth and innovation. Lab49 is a specialist strategy, design, and technology consulting company dedicated to the financial services industry. We were founded in 2002 to fill a need in the Financial Technology marketplace for high-end execution and reliable delivery of technology projects. Our consultants are experts in strategy, user experience, architecture, engineering, and delivery management. We combine knowledge of the latest trends in technology with deep domain expertise to deliver innovative solutions with accelerated time-to-market. We have office hubs in Midtown Manhattan, Washington DC, London, Budapest, New Delhi and Sydney. Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business. Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

Who We Are: Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. To learn more about our businesses and products, visit . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. • Seek Excellence., • Be Selective To Be Effective., • Be Highly Aligned, Loosely Coupled., • Disagree Transparently., • Encourage Independent Decision-Making., • Build Dream Teams. What You’ll Do: • Architect, design, and develop robust, scalable backend services using Go, PostgreSQL, Kafka., • Develop and optimize complex SQL queries; manage and maintain relational databases., • Integrate and support messaging platforms, including Kafka and RabbitMQ., • Collaborate with cross-functional teams to deliver high-quality, reliable software solutions., • Participate in code reviews, architecture discussions, and contribute to the establishment of best practices., • Troubleshoot, optimize, and enhance existing systems to ensure high performance and scalability., • Document technical solutions and processes clearly and concisely., • Able to work on multiple projects and manage the timeline effectively., • Willing to learn new technologies. What We’re Looking For: • Minimum 8 years of professional software development experience, with at least 3 years of hands-on Go (Golang) development., • Strong expertise in SQL and experience working with relational databases such as PostgreSQL or MySQL., • Proven experience with messaging platforms, including Kafka and RabbitMQ., • Solid understanding of RESTful API design and microservices architecture., • Experience with containerization technologies (Docker, Kubernetes)., • Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team., • Strong written and verbal communication skills., • Experience working in cloud environments (AWS, GCP, Azure)., • Exposure to CI/CD pipelines and DevOps practices using Terraform, Jenkins pipelines etc., • Experience with monitoring and logging tools such as Datadog, Grafana, Kibana. Bonus Points: • Prior experience with C#, C++, and/or Java, • Experience collaborating with finance business team, • Experience with lightweight UI technologies such as HTMX, Alpine JS, Svelte, or CSS, • Experience with Python and PySpark, • Experience with data warehouse/lake solutions like snowflake or databricks, • Experience with google protocol buffer and GRPC. What We Offer: • Competitive base salary and discretionary bonus, • Company-paid health and protective benefits for employees and their eligible dependents, • Free virtual coaching and counseling sessions, • Opportunities to learn about the Crypto industry, • Smart, entrepreneurial, and fun colleagues, • Employee Resource Groups *Benefits may vary depending on location. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $170,000 - $220,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact ___

Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient. Through our modern data platform, we enable healthcare innovators—ranging from value-based care providers and payers to digital health companies and health systems—to access standardized, real-time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision. Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows. We are seeking a highly skilled and experienced Senior Infrastructure / Site Reliability Engineer to join our engineering team at Particle. In this role, you will be responsible for ensuring the reliability, security, and scalability of our data platform. This role pairs with other engineering teams and will have a unique opportunity to work on complex problems while covering a broad range of responsibilities, including security, DevOps, production monitoring, Cloud FinOps, and infrastructure as code. This role requires a self-starter with a strong sense of ownership and a passion for building resilient systems. • Infrastructure Management: Design, implement, and manage scalable and resilient infrastructure in Google Cloud using Infrastructure as Code (IaC) principles., • Security and Infosec: Ensure compliance with healthcare security standards and best practices. Implement security controls, manage identity and access, and conduct regular security audits., • DevOps: Streamline CI/CD pipelines, automate deployment processes, and integrate best practices for continuous integration and delivery., • Monitoring and Alerting: Develop and maintain monitoring systems to ensure high availability and performance. Implement alerting mechanisms to promptly respond to incidents., • Production Support: Respond to production incidents, conduct root cause analysis, and implement corrective actions to prevent future occurrences. Note - most of our service is used asynchronously, and outages are not typical., • Collaboration: Work closely with cross-functional teams, including engineering, product, and operations, to ensure seamless integration of SRE practices into the development process., • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience., • 5+ years of experience in Site Reliability Engineering, DevOps, or a related role., • Strong knowledge of building and maintaining production software in a cloud environment (e.g. GCP, AWS, Azure)., • Deep understanding of best practices of Site Reliability, including API, Application and infrastructure and reliability, • Proficiency in a modern programming language such as Golang, Python, Java., • Experience with Kubernetes and container orchestration., • Deep understanding of infrastructure as code (e.g., Terraform, Ansible)., • Strong knowledge of privacy and security best practices and infosec principles., • Excellent problem-solving and troubleshooting skills., • Ability to work independently and take ownership of complex projects., • Strong communication skills and ability to collaborate with cross-functional teams., • Strong cross-functional collaboration and communication skills, • Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes., • Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated., • Flexibility & Balance: Enjoy unlimited PTO and a hybrid work environment, giving you the opportunity to collaborate in person and enjoy the benefits of remote work. We also provide lunch on Tuesdays and Thursdays when our team is in the office!, • Bonus Program: Get rewarded for great work—our twice-a-year bonus program reflects both your contributions and our overall success., • Comprehensive Benefits:, • ~95% employer-paid health benefits for you and your family., • Employer-funded 401(k) match to help you build a secure future., • Mental health benefits to support your well-being., • Invest in Your Future: Receive employee equity, ensuring you share in the company’s success., • Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most., • Collaborate with a talented team of engineers, data scientists, and healthcare experts, • Opportunity to work with cutting-edge technologies in the healthcare space, • Growth opportunities as we scale our platform and expand our capabilities At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together! Compensation Range: For this role, we’re targeting a salary range of $190,000–$225,000 annually, depending on experience and qualifications. If your background aligns more closely with a higher or lower level than the scope outlined here, compensation may vary accordingly. #LI-Hybrid At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive. We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company. For more info about Particle and our team, check out the resources & links included. For more info about Particle and our team, check out the resources & links included. Notice: Recruitment Scam Alert We’ve been made aware of attempts by scammers impersonating Particle Health or our team members to post fake job listings, conduct fraudulent interviews, or issue fake offer letters. These scams may involve: • Requests for personal or financial information, • Interviews conducted only via text or messaging apps, • Emails that don’t come from an @___ address, • Offers for jobs you didn’t apply for Please note: • We will never ask for money, gift cards, or personal financial details at any stage of our hiring process, • All legitimate communication will come from an official @___ email address, • Our hiring process always includes video interviews — never just text If you’re unsure about the legitimacy of a communication, don’t hesitate to contact us at ___. We’re here to help.

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector - Enterprise Technology team you play a crucial role in an agile team dedicated to en

Title: Senior Full Stack Java Developer. Collaborate with other developers designers and system administrators to ensure all components of the project are properly integrated. Provide technical guidance and mentoring to junior developers.

Strong programming and automation experience using Java and Selenium WebDriver. Solid understanding of ETL/ELT testing data mapping and data validation techniques. Familiarity with API automation (e.

Primary Skills: Trade Surveillance Implementation Trade Surveillance Development Actimize Nasdaq Smarts Trading Hub ETL Data Transformation Python Java Capital Markets Securities Trading Data Commodities Trading Data OMS Trading & Order Lifecycle Data Data Integration. This role involves hands-on wo

Senior Software Engineer (Go Java). As a Capital One Software Engineer youll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like JavaScript Java HTML/CSS TypeScript SQL Python and Go Open Source RDBMS and NoSQL database

Solid understanding of full stack java development to create robust applications. Certifications: Relevant certifications in DevOps or full stack development are a plus.

Java development experience with preferably with Java 8 and later versions.Must be strong with Core Java Spring Boot Microservices REST Oops Concepts Kafka streaming design patterns Cloud services.REST,Eclipse,JSP,Junit,Spring,Struts,Jpa,Hibernate,Maven,J2EE,Jdbc,Java.

Execute creative software solutions design development and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Access Control System,Engineering,Bar Management,Jpa,Law,Jdbc. Implement real-time data proces

As a Senior Software Engineer on the Core. You are a passionate software engineer driven to deliver high-quality products. Platform engineering team youll play a crucial role in ensuring the smooth functioning of these critical components and empower our users to achieve their goals.

Have 0-6 years of experience as a Software Engineer (Bonus if you hold a masters degree). NET,C/C++,Go,React,OOP,C#,Data Structures,JavaScript,Software Development,Java,Distributed Systems.