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Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Role: As a Software and AI Engineer, IT Systems, you'll design and develop AI agents and first-party applications that bring intelligence, automation, and great user experience to CoreWeave's internal ecosystem. You'll work across the stack ranging from agentics frameworks (using iPaas platforms like Workato) or latest software frameworks from LangChain, LangGrapsh, Cohere, ChatGPT agentflow, OpenAI API, Gemini agent flow, or Glean API to rich, React-based interfaces and mobile experiences to robust backend services written in Node.js and Go. What You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Collaborate with stakeholders in Finance, Accounting, Security, and Engineering to design intelligent, user-centered workflowsWho You Are:, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • Exposure to the functional domains of Finance, Billing, or Supply Chain where intelligent automation can drive measurable business efficiency.Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • You're an expert in collaborating with non-technical stakeholders (like Finance and Accounting) to translate complex needs into intelligent, user-centered, and secure workflows.Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: The Network Observability team is responsible for how CoreWeave observes, understands, and operates its network at scale. As a Staff Engineer for Network Observability, you will define and evolve the technical direction for network observability, partnering across Network Engineering, SRE, Platform, and adjacent infrastructure teams to build resilient telemetry systems, raise engineering standards, and turn observability into a strategic advantage for the business. Your mission: build and scale a network observability platform that provides CoreWeave fast, trustworthy insight into network behavior, enables proactive risk detection, improves how engineering teams make decisions during both normal operations and incidents, and enables closed-loop automation workflows. In this role, you will: • Set technical direction for network observability across multiple teams, ensuring the platform, data models, and telemetry strategy align with long-term engineering and business goals, • Lead the design and evolution of scalable observability solutions using diverse collector technologies (e.g., gNMI, SNMP, Prometheus scraping, OTEL, logs, flows, etc.), persistence databases (e.g., Prometheus-like, Loki, Clickhouse), and visualization and alerting ones (e.g., Grafana, Alertmanager), with a strong focus on reliability, usability, and future scale, • Drive cross-team initiatives to standardize observability patterns, improve signal quality, and create a consistent approach to logs, metrics, events, flows, and related diagnostics across the network stack, • Partner closely with engineering leadership and technical stakeholders to prioritize investments, navigate ambiguity, and make high-leverage technical tradeoffs that improve resilience, scalability, and operator efficiency, • Act as a go-to technical expert for critical observability challenges, especially when incidents, architectural complexity, or unclear ownership require strong judgment and coordination, • Mentor junior and senior engineers through technical reviews, design guidance, and hands-on problem solving, raising the bar for engineering quality and multiplying the impact of the broader team, • Participate in design discussions, RFCs, and architectural decisions across the broader infrastructure organization, helping teams converge on scalable, maintainable solutions, • Join a rotating on-call schedule as a senior escalation point for observability-related issues, helping teams quickly isolate failures, improve incident response, and drive durable follow-through after outagesWho You Are:, • Deep expertise in building flexible network observability solutions, with diverse implementation options for collectors, distribution, processing, persistence, alerting, analytics, and visualization, • Experience as a Network Engineer, SRE, Software Engineer, or Systems Engineer in large-scale environments, with a strong track record of building and operating observability or infrastructure platforms that support multiple teams, • Demonstrated ability to lead through ambiguity, shape technical direction, and make sound architectural and operational tradeoffs that balance immediate needs with long-term maintainability, • Strong systems thinking and practical experience designing resilient, scalable solutions that improve visibility, incident response, and engineering efficiency, • Proven ability to work across teams and functions, influence without formal authority, and build trust with both technical and non-technical stakeholders, • Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools such as Ansible and Jinja2, • Comfortable containerizing and operating solutions in Kubernetes, including designing, building, and deploying container-based workloads efficiently, • Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting, • Practical experience with networking platforms such as SONiC, HPE Junos, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux, • A strong mentorship mindset and a history of helping other engineers grow through coaching, design feedback, documentation, and technical leadershipPreferred:, • Bachelor's degree in Computer Science or a related field, • Hands-on experience applying machine learning techniques or tools to proactively detect performance or security anomalies in network traffic, • Experience with OpenTelemetry, Jaeger, Zipkin, or similar tooling for end-to-end tracing across distributed systems and infrastructure components, • Experience shaping technical roadmaps, setting standards, or leading platform investments that materially improved reliability or scalability across multiple teams, • Network certifications such as CCNA, CCNP, or similar Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools., • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionDescription: On-site in Jersey City, NJ Our client seeks a senior software engineer to lead design and development of next-generation electronic trading systems and data infrastructure. The role requires hands-on leadership building scalable, resilient, and high-performance platforms for capital markets, with emphasis on KDB+/q, Python, and AI/ML applied to time-series data. You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust production systems that support research, backtesting, and real-time trading workflows. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80.00 to $90.00/hr. w2 JN -052026-107108 Responsibilities: • Lead design and development of low-latency, high-throughput trading systems and workflows., • Design, develop, and optimize KDB+/q databases and analytics for high-volume market data., • Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation., • Apply machine learning techniques to time-series data including feature engineering, model training, and evaluation., • Build research and backtesting frameworks integrating AI models with historical data., • Translate quantitative and ML research into production-ready, resilient systems., • Integrate AI models into real-time and batch pipelines., • Optimize analytics and model evaluation for performance, stability, and scalability., • Collaborate with quants, product owners, and engineering on deployment and monitoring., • Support production systems and participate in on-call rotations, including occasional weekend support. Experience Requirements:, • 10+ years of professional experience in quantitative finance or trading systems., • Advanced proficiency with KDB+/q for time-series modeling, high-performance querying, and real-time and historical analytics., • Strong Python for quantitative analysis, AI/ML model development, and integration with KDB+ and downstream systems., • Experience with large-scale, high-frequency, or noisy datasets., • Solid software engineering practices including Git, testing, and modular design., • Experience with AI developer assist tools such as GitHub Copilot., • Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy., • Hands-on experience with AWS or other cloud platforms., • Familiarity with Java or other object-oriented languages., • Experience with Linux, shell scripting, and production support., • Clear communication with quants, traders, and engineers. Education Requirements:, • Bachelor’s degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills 9+ years of hands-on in professional software development 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) Strong understanding of data structures, indexing, and searching required Ability to integrate with Elasticsearch and run queries/reports 3+ years of experience building microservices 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift Experience with Kafka and other technologies Can apply principles of Test-Driven Development Experience with writing test cases Able to write build scripts Experience with Kubernetes and Terraform Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. Experience integrating applications with Redis/Memcached a plus Nice to Have Skills Experience with Flutter Development of mobile and tablet devices AI/Machine Learning experience a plus Experience with Big Query and Metabase Experience developing Vertical SaaS ERP Software Personal Skills A passion for building software and streamlining process issues Demonstrate tenacity when solving challenging problems in a deadline-driven environment Experience with Scrum/Agile Methodologies Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team Able to be self-motivated and work independently as needed to solve complex problems Taking pride in work and desire to make projects succeed Benefits Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. A positive and collaborative work environment with a focus on innovation and sustainability. Flexible/Unlimited PTO Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. Yearly Personal Development Budget Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place. As a Principal Software Engineer at JPMorganChase within the Asset Wealth Management, Client Onboarding Team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios. We are seeking a visionaryExecutive Director - Principal Software Engineerwith extensive experience of applied experience in software engineering and deep expertise in advanced AI and agentic system development. This leader will be responsible for architecting and delivering AI-native, autonomous agentic AI solutions that transform client onboarding and operational workflows across the organization. The ideal candidate brings a proven track record of designing production-grade agentic AI frameworks — including multi-agent orchestration, retrieval-augmented generation (RAG) pipelines, dynamic tool-use agents, and LLM-powered reasoning systems — while building durable, reusable software frameworks leveraged across teams and functions. They will serve as the organization’s foremost subject matter expert on agentic AI, advising cross-functional teams on agent safety, prompt engineering, model evaluation, and responsible AI deployment, and will influence senior stakeholders across business, product, and technology on the strategic adoption of autonomous AI capabilities. • Creates complex and scalable coding frameworks using appropriate software design frameworks Develops secure and high-quality production code, and reviews and debugs code written by others • Lead the integration of intelligent, self-directed agents into existing enterprise systems, champion agile delivery practices, and translate complex AI concepts into measurable business outcomes for executive audiences., • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale., • Advise cross-functional teams on technological matters within domain of expertise, • Serves as the function's go-to subject matter expert, • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies, • Creates durable, reusable software frameworks that are leveraged across teams and functions Influences leaders and senior stakeholders across business, product, and technology teams • Formal training or certification on software engineering concepts and 12 + years applied experience, • Design, develop, and maintain scalable applications using Python and Java/J2EE, hands-on experience with agentic AI frameworks, and deep knowledge of NLP, ML, and cloud-native AI deployment on AWS (including SageMaker and Bedrock)., • Experience leading AI-powered products as a Product Owner or Product Manager is required, along with a strong understanding of financial services., • Lead the integration of AI technologies into existing systems, utilizing Natural Language Processing (NLP) and Machine Learning (ML) frameworks to enhance client onboarding processes and improve user experience. Collaborate with data scientists to develop and deploy predictive models., • Implement cloud-based solutions on AWS, leveraging services such as EC2, S3, and Lambda. Champion agile methodologies within the team, facilitating sprint planning, daily stand-ups, and retrospectives to ensure timely delivery of high-quality software, • Expert in one or more programming language(s), • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines, • Experience leading a product as a Product Owner or Product Manager, • Ability to present and effectively communicate with Senior Leaders and Executives, • Understanding of the business, financial services is required, • Developing and refining prompt engineering and multi-turn agent interaction design, expertise in agent observability and evaluation tooling, and domain knowledge in client onboarding processes., • Domain knowledge, client onboarding is preferred #J-18808-Ljbffr

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place. As a Principal Software Engineer at JPMorganChase within the Asset Wealth Management, Client Onboarding Team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios. We are seeking a visionaryExecutive Director - Principal Software Engineerwith extensive experience of applied experience in software engineering and deep expertise in advanced AI and agentic system development. This leader will be responsible for architecting and delivering AI-native, autonomous agentic AI solutions that transform client onboarding and operational workflows across the organization. The ideal candidate brings a proven track record of designing production-grade agentic AI frameworks including multi-agent orchestration, retrieval-augmented generation (RAG) pipelines, dynamic tool-use agents, and LLM-powered reasoning systems while building durable, reusable software frameworks leveraged across teams and functions. They will serve as the organization's foremost subject matter expert on agentic AI, advising cross-functional teams on agent safety, prompt engineering, model evaluation, and responsible AI deployment, and will influence senior stakeholders across business, product, and technology on the strategic adoption of autonomous AI capabilities. • Creates complex and scalable coding frameworks using appropriate software design frameworks Develops secure and high-quality production code, and reviews and debugs code written by others • Lead the integration of intelligent, self-directed agents into existing enterprise systems, champion agile delivery practices, and translate complex AI concepts into measurable business outcomes for executive audiences., • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale., • Advises cross-functional teams on technological matters within domain of expertise, • Serves as the function's go-to subject matter expert, • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies, • Creates durable, reusable software frameworks that are leveraged across teams and functions Influences leaders and senior stakeholders across business, product, and technology teams • Formal training or certification on software engineering concepts and 12 + years applied experience, • Design, develop, and maintain scalable applications using Python and Java/J2EE, hands-on experience with agentic AI frameworks, and deep knowledge of NLP, ML, and cloud-native AI deployment on AWS (including SageMaker and Bedrock)., • Experience leading AI-powered products as a Product Owner or Product Manager is required, along with a strong understanding of financial services., • Lead the integration of AI technologies into existing systems, utilizing Natural Language Processing (NLP) and Machine Learning (ML) frameworks to enhance client onboarding processes and improve user experience. Collaborate with data scientists to develop and deploy predictive models., • Implement cloud-based solutions on AWS, leveraging services such as EC2, S3, and Lambda. Champion agile methodologies within the team, facilitating sprint planning, daily stand-ups, and retrospectives to ensure timely delivery of high-quality software, • Expert in one or more programming language(s), • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines, • Experience leading a product as a Product Owner or Product Manager, • Ability to present and effectively communicate with Senior Leaders and Executives, • Understanding of the business, financial services is required, • Developing and refining prompt engineering and multi-turn agent interaction design, expertise in agent observability and evaluation tooling, and domain knowledge in client onboarding processes., • Domain knowledge, client onboarding is preferred JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

CACI has an exciting new opportunity in Florham Park, NJ for a Senior AI/ML Research Engineer. Bachelor's degree in computer science, computer engineering, or machine learning and at least 7 years’ experience. Job Title: Senior AI/ML Research Engineer.

Driven by a commitment to collaboration, DNA partners with our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the "What's Next" in our industry and beyond. Our mission is to drive transformation and provide exceptional capabilities and service to the operating units. DNA Enterprise Reporting generates meaningful and measurable value by delivering insights for our customers, partners, and shareholders using data and analytics. Our vision is to enable operating unit profit and growth objectives by designing and delivering scalable solutions. With a culture centered on innovation and service stewardship, DNA stands as a community of leaders with eyes toward the future - leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. DNA offers endless ways to get involved and have the chance to grow your career into a wide range of roles. Come join us as we push forward into the future of industry leading technology and service solutions. Company URL: https://www.berkley.com/ The company is an equal opportunity employer. We are seeking an exceptional Principal Data Scientist who is part deep technologist, part entrepreneur, and part strategic innovator. This is not a traditional analytics role, it is built for a builder. You will own the full lifecycle of high-impact AI/ML solutions, from whiteboard to production, writing substantial code and driving rigorous analysis that directly shapes enterprise decisions. Sitting at the intersection of advanced machine learning, software engineering, and business strategy, you will architect and ship production-grade AI systems across underwriting, claims, operations, and finance. • Own the code, not just the model: Design, write, test, and deploy production-grade ML and AI systems using Python, modern ML frameworks, and cloud-native tooling., • Build generative AI & LLM-powered solutions: Architect and implement RAG pipelines, fine-tuning workflows, agentic systems, and LLM evaluation harnesses., • Engineer scalable ML pipelines: Develop robust feature engineering, training, inference, and monitoring pipelines built for reliability and scale., • Ship end-to-end: Take models from prototype through CI/CD into monitored production environments, including automated retraining and drift detection., • Lead complex analytical investigations: Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems., • Translate ambiguity to impact: Frame undefined problems with entrepreneurial clarity: define success metrics, scope solutions, and move from question to insight at speed., • Ensure reproducibility and rigor: Establish standards for experiment tracking, version control, and model validation aligned with enterprise governance requirements., • Shape the AI/ML platform: Evaluate and recommend tools, frameworks, and cloud services (Azure ML, Databricks, MLflow, etc.) that form the backbone of enterprise AI capability., • Establish reusable accelerators: Build and document shared libraries, templates, and design patterns that multiply team productivity across the data science community., • Drive MLOps excellence: Define and enforce best practices for model governance, monitoring, A/B testing, and lifecycle management in production., • Architect for the long term: Make principled trade-offs between build vs. buy, speed vs. rigor, and experimentation vs. standardization., • Rapidly prototype and validate: Move from idea to working proof-of-concept in days, not months using experimentation to de-risk investment before scaling., • Influence enterprise standards: Shape the organization's model development, validation, and deployment standards as a principal-level technical authority., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a closely related quantitative field., • Master's or PhD preferred, • 10+ years of hands-on experience in applied machine learning, data science, or AI engineering not just analytics. Demonstrated track record of shipping ML models and AI systems to production, including ownership of monitoring and maintenance., • Experience leading complex, end-to-end data science projects from problem definition through deployment and business impact measurement., • Proven ability to influence technical direction and strategy without direct management authority., • Python (expert-level): NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow, Hugging Face, LangChain/LlamaIndex or equivalent., • ML Engineering: Feature stores, model registries (MLflow), experiment tracking, CI/CD for ML, containerization (Docker/Kubernetes)., • LLMs & Generative AI: Prompt engineering, RAG architecture, fine-tuning, evaluation frameworks, and agentic workflow design., • SQL & Data Engineering: Complex query optimization, dbt or similar, working fluently with Spark or Databricks., • Cloud Platforms: Azure ML preferred; AWS SageMaker or GCP Vertex AI experience, • Statistics & ML Foundations: Regression, classification, clustering, time-series, Bayesian methods, causal inference, and model interpretability (SHAP, LIME)., • Software Engineering Practices: Git, code review, unit testing, design patterns you write code that others can maintain., • Experience in financial services, insurance, or other regulated industries with model risk management requirements., • Contributions to open-source ML projects, • Experience building and operating real-time inference systems (low-latency APIs, streaming prediction pipelines)., • Familiarity with model governance frameworks and regulatory requirements, • Experience with agentic AI systems, multi-modal models, or domain-adapted LLMs in an enterprise context., • Background in agile/product-oriented analytics teams with sprint-based delivery. We do not accept any unsolicited resumes from external recruiting agencies or firms. The company offers a competitive compensation plan and robust benefits package for full time regular employees which for this role include: • Base Salary Range: $200,000 - $300,000, • Eligible to participate in annual discretionary bonus., • Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Sponsorship not Offered for this Role #J-18808-Ljbffr

What we're looking for: - Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps - Strong communication skills - Ability to work independently in a remote environment How it works: This is not a specific job posting.

Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing. Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments. Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector – AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. En

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you are an integral part of an agile team that works to enhance, bui

As a Principal Software Engineer at JPMorganChase within the Corporate Sector - AI/ML & Data Platforms for LLM Suite. You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevati

Formal training or certification on applied AI and machine learning concepts and 5+ years applied experience. Minimum 7 years of software development experience, including at least 4 years delivering artificial intelligence or machine learning solutions. Applied AI and Machine Learning Lead at JPMor

Are you passionate about coding or technology and ready to make your mark in tech? For more than 15 years SynergisticIT has been helping aspiring developers like you excel in the tech industry. We focus on equipping you with the skills and experience needed to not only secure a job but to thrive in your career! Why Partner with SynergisticIT? • Customized inputs to achieve the desired output: designed with industry needs in mind, ensuring you're equipped with the most sought-after skills., • Exclusive Opportunities: Our extensive network allows you to connect with leading tech firms., • Outstanding Outcomes: Many of our candidates land multiple job offers, often with starting salaries of $100k or more! Who Should Apply? We're looking for recent grads in Mathematics, Statistics, Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. Preferred SKILLS For Java/Full stack/Devops Positions Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java, javascript, C++ or software programming Spring boot, Microservices, AWS, Docker, Jenkins, Github, Kubernates and REST API's experience Preferred SKILLS For Data Science/Data Engineer, Data Analyst/AI/Machine learning Positions Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Databricks, Snowflake, Pyspark, PowerBI, Tableau, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant experience can research our Job Placement Programs which can assist in landing a Job If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates Embrace Your Future! We also assist with F1 OPT to transition into H1B and Green Card by providing comprehensive support. All positions are open to candidates of all visa types and US citizens.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.As a Senior Lead Software Engineer - ML Engineer for Agent Platform at JPMorgan Chase within the Commercial and Investment Banking – Data Analytics Payments Team, you are a senior technical leader on the team that builds and runs NEO, the firm's agent runtime platform for Payments Technology. You set the architecture for how agents execute, communicate, remember, and get evaluated in a secure, stable, and scalable way. As a core technical contributor and technical direction-setter, you are responsible for the hardest technology decisions across multiple technical areas in support of the firm's business objectives, and for raising the engineering bar across the teams that build on NEO.Job responsibilitiesOwns end-to-end architecture of the NEO agent runtime, including secure execution and isolation (micro-VMs such as Firecracker/Kata), agent-to-agent (A2A) communication, Model Context Protocol (MCP) tooling, the memory layer, and evaluation infrastructureExecutes 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 problemsDevelops secure and high-quality production code, and reviews and debugs code written by others; sets code and design standards adopted across teams building on NEODrives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApplies and shapes the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of the platform and the agents running on itDefines the permission-aware, auditable execution model for the runtime, including fine-grained authorization (OpenFGA) and runtime policy (OPA/Rego), so agents operate safely in a regulated environmentLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, and mentors Lead and senior engineersAdds to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stability for platforms, runtimes, or distributed systems in productionAdvanced in one or more programming language(s); strong Python plus a systems language (Go or Rust) for performance-sensitive runtime workDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practicesDemonstrated experience building or operating LLM/agent systems in production, including tracing, evaluations, and guardrailsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experience; production Kubernetes expectedPreferred qualifications, capabilities, and skillsExperience architecting secure code execution and sandboxing with micro-VMs (Firecracker, Kata, gVisor) for multi-tenant isolationExperience designing or implementing agent protocols (A2A, MCP) and multi-agent orchestrationExperience with agent or distributed memory systems — memory nodes, episodic/semantic memory, and graph-backed retrieval (Graph RAG)Exposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systemsFine-grained authorization (OpenFGA / Zanzibar-style) and policy engines (OPA/Rego)Evaluation infrastructure for agents — offline/online evals, regression suites, and LLM-as-judge quality/safety gating in CIProficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes) JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/VeteransJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-07-20

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer at JPMorganChase within the Low Latency trading group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.Job responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsWork directly with Lines of Business to understand and address their needs and challenges within the compute space within a low-latency Electronic Trading environmentDirect the strategies for server hardware platform, server/OS tuning and automation, and infrastructure application lifecycleDesign Authority for the compute infrastructure application stack, including build and configuration management, and log/metric aggregationInterface with hardware and software vendors on product roadmaps and to establish the next generation of Electronic Trading Platform infrastructureDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skills7 years experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityUnderstanding of IPv4 networking, including OSI model, unicast/broadcast/multicast, routing, and network segregation mechanismsAdvanced in one or more programming language(s)Proficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experiencePreferred qualifications, capabilities, and skillsUnderstanding of IPv4 networking, including OSI model, unicast/broadcast/multicast, routing, and network segregation mechanismsExtensive experience with Configuration Management, preferably Chef or Ansible JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you’ll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You’ll work in a stable, resilient and secure operating environment where you—and the products you deliver—will thrive. High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.Full timePosting Date: 2026-07-16

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer - ML Engineer for Agent Platform at JPMorgan Chase within the Commercial and Investment Banking – Data Analytics Payments Team, you are an integral part of an agile team that builds and delivers NEO, the firm's agent runtime platform for Payments Technology. You lead hands-on engineering of major runtime components — secure execution, agent-to-agent communication, memory, retrieval, and evaluation — in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.Job responsibilitiesExecutes 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 problemsBuilds and operates major NEO runtime components — agent execution and sandboxing (micro-VMs), A2A and MCP integrations, the memory layer (memory nodes), retrieval, and evaluation harnessesDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of the software applicaitons and systems Implements permission-aware, auditable execution for agents, including fine-grained authorization and runtime policy checksLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, and mentors Lead and senior engineersAdds to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s); strong Python requiredDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practicesHands-on experience building LLM-power or agentic systems, including tracing, evaluations, and guardrailsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experience; production Kubernetes expectedPreferred qualifications, capabilities, and skillsExposure to LLMs, RAG architectures, vector databases, and embedding-based retrieval systems; Graph RAG a plusExperience with agent protocols (A2A, MCP) or multi-agent orchestrationExperience with sandboxed/secure code execution (containers and micro-VMs such as Firecracker, Kata, gVisor)Experience with agent memory (memory nodes, episodic/semantic memory) or graph-backed retrievalFamiliarity with building or running evals for LLM/agent systemsProficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes)Experience with data observability, quality, and metadata management tools JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/VeteransJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-07-20

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank in Electronic Trading Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job Responsibilities • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors, • Develops secure and high-quality production code, and reviews and debugs code written by others, • Doing core development and delivery of KDB based systems, including framework development., • Leads team members via book of work management. Improve team through SDLC, testing and continuous improvement of coding standards., • Develops scalable real-time processing solutions using agile methodology., • Drives decisions that influence the product design, application functionality, and technical operations and processes, • Serves as a function-wide subject matter expert in one or more areas of focus, • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle, • Influences peers and project decision-makers to consider the use and application of leading-edge technologies, • Adds to the team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills • Formal training or certification on software engineering concepts and 5+ years applied experience, • Hands-on practical experience delivering system design, application development, testing, and operational stability, • Advanced in one or more programming language(s) KDB, Q language, • Proficiency in automation and continuous delivery methods. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Development lead and mentoring experience: requirements capture, task decomposition, time and effort estimation, delivery planning, testing, user acceptance testing., • Deep understanding of KDB technology and Q language. Solid professional experience using KDB., • Deep understanding of KDB+tick design and data organization, performance implications of different approaches., • Practical experience developing/running large datasets and optimizing query performance., • Practical experience scaling and load-balancing of KDB applications. Practical experience building resilient and high-availability KDB applications.Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Capabilities, and Skills • Experience with market data venue and vendor data platforms., • AWS Experience., • Experience in Terraform and Kubernetes from managing a Production Plant in Public Cloud., • Experience other languages e.g. Python/C/C++/Java.

Develops secure and high-quality production code, and reviews and debugs code written by othersDrives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively co

Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. Stay informed and learn emerging methodologies in data engineering, MLOps, and LLM operations. Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced da

Work with data engineers, architects, and developers to define data sourcing, transformation, and reporting requirements.

Join Our Team at BJ's Wholesale Club.BJ's Wholesale Club is powered by more than 30,000 team members who make a real impact every day.Whether you're stocking shelves, solving problems or shaping strategy, your work helps families save on what matters most.We're a team built on purpose and opportunit

The starting hourly rate is $17.Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.You can work as much or as little as you like as an On-Demand Team Member (TM) and your schedule may vary depending on shift avai

Cashiers play a critical customer service role by providing customers with fast, friendly, accurate and safe service.They process Checkout and/or Return transactions, as well as monitor and maintain the Self-Checkout area.They proactively seek product/project knowledge to provide customers with info

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Family Dollar is seeking Cashiers to assist customers, operate cash registers, and support daily store operations.Cashiers are responsible for greeting customers, scanning merchandise, processing cash and card payments, handling returns, assisting customers with product questions, stocking shelves w

Ability to operate vehicles, equipment or machinery Assists with department duties as necessary.

SNIPES Cashier Part Time Regular.We live sneakers, streetwear, and neighborhood culture! All Day! Every Day!.With more than 750 stores in Europe and the USA, SNIPES is one of the leading sneaker and streetwear retailers worldwide.Since opening its first store in Essen, Germany in 1998, SNIPES has be

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Bilingual Cashier (English and Spanish).Buscamos un cajero que hable ingls y espaol.Welcome customers and help determine their orders.Process customer orders and record them in the restaurant database.Relay customers' orders to the kitchen staff.Ensure all orders are delivered to the customers in a

Must be 18 years or older to operate balers, hi-lo's, power jacks, and slicing machines.

Performs cashiering duties, including making cash transactions, verifying cash drawer, giving change, counting cash receipts and completing cash reports.May also perform general food service work.Maintains sanitation standards in the preparation, service and dining room facilities.Essential Duties a

Must be 18 years or older to operate balers, hi-lo's, power jacks, and slicing machines.

Must be 18 years or older to operate balers, hi-lo's, power jacks, and slicing machines.