30 jobs found

Edward Jones is seeking a Technical Architect to design and guide modern, secure technology solutions that power our client-first financial services. In this role, you will define application and integration architectures, champion cloud-native and API-driven designs, and ensure platforms meet stringent security, reliability, and regulatory standards for the finance and insurance industry. You will partner closely with engineering, product, cybersecurity, and business leaders to translate strategy into scalable technical roadmaps, mentor developers, and drive best practices in architecture governance, solution design, and technology selection to support firm-wide growth and innovation. Responsibilities Design and document enterprise and solution architectures for key platforms and applications Define cloud-native, API-driven, and integration patterns for scalable systems Ensure solutions meet security, compliance, and reliability standards for financial services Collaborate with engineering, product, and business stakeholders to translate strategy into technical roadmaps Lead architecture reviews and govern adherence to standards and reference architectures Evaluate and recommend technologies, tools, and platforms aligned to firm strategy Guide implementation teams through complex design decisions and trade-offs Mentor developers and engineers on architectural best practices and patterns Support modernization of legacy systems and migration to cloud and modern platforms Partner with cybersecurity and risk teams to embed controls and data protection into designs Required Skills Enterprise and solution architecture Cloud platforms (AWS, Azure, or GCP) Microservices and API design (REST/JSON) Integration patterns and middleware Security and compliance for financial systems Data architecture and system design Architecture modeling tools and documentation Dev Ops and CI/CD concepts Legacy modernization and migration strategies Stakeholder communication and technical leadership

Edward Jones is seeking a Technical Architect to design and guide modern, secure technology solutions that power our client-first financial services. In this role, you will define application and integration architectures, champion cloud-native and API-driven designs, and ensure platforms meet stringent security, reliability, and regulatory standards for the finance and insurance industry. You will partner closely with engineering, product, cybersecurity, and business leaders to translate strategy into scalable technical roadmaps, mentor developers, and drive best practices in architecture governance, solution design, and technology selection to support firm-wide growth and innovation. Responsibilities Design and document enterprise and solution architectures for key platforms and applications Define cloud-native, API-driven, and integration patterns for scalable systems Ensure solutions meet security, compliance, and reliability standards for financial services Collaborate with engineering, product, and business stakeholders to translate strategy into technical roadmaps Lead architecture reviews and govern adherence to standards and reference architectures Evaluate and recommend technologies, tools, and platforms aligned to firm strategy Guide implementation teams through complex design decisions and trade-offs Mentor developers and engineers on architectural best practices and patterns Support modernization of legacy systems and migration to cloud and modern platforms Partner with cybersecurity and risk teams to embed controls and data protection into designs Required Skills Enterprise and solution architecture Cloud platforms (AWS, Azure, or GCP) Microservices and API design (REST/JSON) Integration patterns and middleware Security and compliance for financial systems Data architecture and system design Architecture modeling tools and documentation Dev Ops and CI/CD concepts Legacy modernization and migration strategies Stakeholder communication and technical leadership

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Business Systems Integration team powers the end-to-end systems that drive Block's CRM, Procurement, Finance, Hardware supply chain, logistics, fulfillment, and after-sales service. We design, build, and manage the integrations and processes that connect all the different systems operations to scale efficiently and intelligently. We are looking for a Senior Business Systems Engineer who combines strong technical engineering skills with a deep domain knowledge in APIs and Integration. You will build, and enhance engineering processes, integrations, automations, and extensions across the various business systems our organization works with, including CRM, Oracle Fusion Cloud, Salesforce. You will collaborate closely with partner teams including Sales, Support, Supply chain, and finance teams to translate business needs into scalable, high-impact system solutions. This is a hands-on technical role ideal for someone who has experience in building complex APIs and Integrations at scale. We want employees to reside where they feel most creative and productive. You will be part of a distributed team and are open to sharing and adjusting to typical working hours. You Will Design integrations across enterprise business systems, including Salesforce, Oracle Cloud, Snowflake, Looker, and external partner systems using MuleSoft or other Integration iPaaS platform Design and build Python-based tools for supporting integrations and automations and process optimization. Write and optimize SQL scripts for data extraction, transformation, reconciliation, and analytics. Collaborate with partner engineering and operations teams to ensure integration robustness, security, and scalability. Create and execute unit, integration, and regression tests for custom components and data flows. Monitor and support launched integrations and automations, using metrics and logs to continuously improve reliability and performance of the platform. Contribute to technical documentation, design reviews, and version control using GitHub and modern DevOps practices Lead incident response and root cause analysis for critical production applications and integrations You Have 8+ years architecting, designing, and scaling enterprise APIs and integrations in high-volume environments 4+ years of hands-on experience in one of the iPaaS Integration platforms, preferably MuleSoft 3+ years of recent hands-on experience with programming languages (Python, Kotlin, Java or Go) Experience leveraging Claude Code, Codex, Cursor, Windsurf or any of the LLM based tools for Productivity enhancements Experience leveraging AI/ML-based automations for automating technical and business processes Hands-on experience integrating with enterprise business systems such as Salesforce, Oracle Fusion Cloud, Workday or SAP Advanced proficiency in SQL and familiarity with data pipelines in Airflow, Fivetran, Prefect or Databricks Familiarity in working in Cloud platforms, preferably AWS, and services like S3, Lambda, SQS, RDS Solid understanding of software engineering best practices including code reviews, CI/CD pipelines, and documentation. Excellent communication and collaboration skills able to translate functional requirements from stakeholders into and technical design Proven track record of delivering complex integrations for procurement, finance, or supply chain systems Deep commitment to delivering quality products Experience managing complex applications and integrations in Production, providing KTLO support and root cause analysis Nice to Have Certifications in Mulesoft, AWS Experience or familiarity in building MCP servers, using Python or Typescript, for exposing tools and processes to Agentic workflows We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page. While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $142,000-$213,000 USD Zone B: $134,200-$201,400 USD Zone C: $127,100-$190,700 USD Zone D: $120,100-$180,100 USD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Privacy Policy

Job Description: Building trusted markets - powered by our people At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. We're building meaningful ways to support professional and personal development while strengthening the trust we've earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to "go for it" and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities. To support strong partnership and team connection, this role follows a four day in office work model. Location Overview Cboe HQ is located in the historic Old Post Office district, it's a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River. With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas. Role Overview Cboe Global Markets is the world's go-to derivatives and exchange network, providing trading solutions and products in multiple asset classes, including equities, derivatives, FX, and digital assets. Cboe's Regulatory Division directly contributes to the company's success by promoting fair, transparent, and trusted markets, through effective and efficient market oversight. We operate surveillance, examination, and investigative programs aimed at detecting and disciplining, or preventing, violative behavior. Are you passionate about leveraging cutting-edge Artificial Intelligence and Machine Learning to ensure the integrity and transparency of global financial markets? As a Senior Machine Learning Engineer - Regulatory at Cboe Global Markets, you'll have the opportunity to work with a highly skilled team to prototype, train, and deploy ML models and AI applications that monitor financial markets generating terabytes of new data every trading day. You'll be at the forefront of innovation, utilizing advanced AI tools and scalable data engineering to transform complex data into actionable insights. If you thrive on tackling real-world challenges, excel in programming and large-scale data operations, and want to make a meaningful impact in a fast-paced, highly regulated environment, this is your chance to join a team where your expertise will help shape the future of market oversight. Step into a role where your ideas drive progress, and your contributions truly matter-apply now and help us turn data into value. Your responsibilities will be: Collaborate with the team on machine learning experiments across order book analysis, alert detection, and sequential financial data Develop and operate AI agent systems in production, applying ML engineering discipline to nondeterministic LLM-based software development workflows Own and evolve the team's ML training and deployment infrastructure on Snowflake Build production-quality data pipelines for processing terabytes of daily financial market data Raise the engineering bar through rigorous code review, architecture guidance, and mentorship of junior and mid-level engineers Design and develop production-quality, test-driven Python code Develop explainability and process-compliance solutions for AI and ML Effectively track and evaluate ML model performance across training, validation, inference, and monitoring Work in both on-premises and cloud environments Work closely with complementary engineering teams Produce clear and thorough documentation, including ML proposals, experiment specifications, technical design, and testing scenarios Communicate technical information clearly and concisely to both technical and end-user audiences The ideal candidate has: Bachelor's degree in a quantitative field Production ML experience with time-series / sequential data - you've trained, deployed, and monitored models at scale, and you understand how time affects the structure of data: stationarity, regime change, leakage, and why a model that looks good in backtest fails live. Deep learning applied to temporal or representation problems - sequence models, embeddings/similarity over time-series, or equivalent. Data-reasoning instinct - able to say what the data is telling you and what data should go into a model in the first place, not just which model to reach for. Strong SQL and experience with large-scale datasets. Solid software-engineering foundation: 5+ years, primarily Python, with production practices (version control, automated testing, CI/CD, Docker) and comfort in an enterprise cloud data platform (Snowflake / Databricks / BigQuery, etc.) under real RBAC and governance constraints Excellent written and verbal communication Machine Learning Skills We work across deep learning, LLM agent systems, and classical ML. While you don't need to know all of these, you should have real depth in at least a couple of these, and curiosity about the rest: Deep learning: PyTorch, custom training loops, architecture design and experimentation, multi-GPU distributed ML, experiment tracking, model lifecycle management LLMs: building with LLM APIs in production, prompt, context, and harness engineering as an engineering discipline, agent orchestration, full stack development using coding agents Time series and sequential modeling: TCNs, transformers, time-contrastive learning, or similar approaches on temporal data, as well as classical time series modeling (e.g. ARIMA) Classical ML: scikit-learn, weakly supervised clustering and anomaly detection, feature engineering, model evaluation for production decision systems Benefits and Perks of working for Cboe Global Markets We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: Fair and competitive salary and incentive compensation packages with an upside for overachievement Generous paid time off, including vacation, personal days, sick days and annual community service days Health, dental and vision benefits, including access to telemedicine and mental health services 2:1 401(k) match, up to 8% match immediately upon hire Discounted Employee Stock Purchase Plan Tax Savings Accounts for health, dependent and transportation Employee referral bonus program Volunteer opportunities to help you give back to your communities Some of our associates' favorite benefits and perks include: Complimentary lunch, snacks and coffee in any Cboe office Paid Tuition assistance and education opportunities Generous charitable giving company match Paid parental leave and fertility benefits On-site gyms and discounts to other fitness centers Paid Time Off More About Cboe Global Markets We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn. Equal Employment Opportunity We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. We are committed to fostering a workplace where all individuals are valued and respected. This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future. Salary Ranges (applicable for US locations only) At Cboe, we are committed to providing a competitive, transparent, and market informed total rewards program . click apply for full job details

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: We are seeking a talented and motivated Software Engineer to join our Payments Products development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence. Essential Functions: Innovative Development: Engage in the design, development, and implementation of innovative software solutions, using generative AI and modern integration patterns. Contribute to a culture of innovation by actively exploring and applying new ideas and technologies. AI Solution Engineering: Support the implementation, fine-tuning, evaluation, integration, and deployment of AI components within enterprise applications, with attention to model robustness and operational quality. Collaborative Engineering: Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to build comprehensive solutions. Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth. API and Integration Development: Contribute to the design and development of APIs that enhance the integration of our Payment Product applications, platforms, and solutions. Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects. Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement. The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, hacking beyond traditional solutions Language Expertise: Expertise in one or more general development languages such as Java, Python, NodeJS, C#, or C++ AI Builder: Experience building, evaluating, integrating, and deploying Generative AI or machine learning capabilities within modern services and web applications Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as GenAI, Angular, React, Kubernetes, Docker, and MLOps Partnership: Experience collaborating with Product, Test, DevOps, and Agile/Scrum teams Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Bachelor's degree, OR 3+ years of relevant work experience. Expert-level skills in Java, Python, and/or NodeJS; skills in C++ and C# are a plus. Experience building Generative AI applications, conversational AI, RAG architectures, techniques, and libraries. Preferred Qualifications: Expertise in application security, SSDLC, and cryptography fundamentals. Self-driven and willing to work across technologies and languages. Understanding of NLP, including tokenization, word embeddings, and basic sequence models. Experience implementing and fine-tuning AI models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of model compression techniques and related trade-offs. Awareness of transfer learning concepts and practical applications. Ability to design, implement, and integrate AI components into larger systems. Familiarity with common robustness issues in AI systems. Familiarity with machine learning and deep learning basics, including neural network architectures and training procedures. Exposure to machine learning operations (MLOps) and best practices for deploying AI and machine learning models. Experience with data preprocessing, feature engineering, and model evaluation techniques. Proficiency in front-end web development technologies such as ReactJS, Angular, and NodeJS. Ability to work with large datasets and perform exploratory data analysis. Expertise in multi-threading, concurrency, and error handling. Knowledge of version control, CI/CD pipelines, and best practices for deployments. Working knowledge of distributed in-memory computing technologies such as Redis. Information for US Applicants For roles located in the US, the estimated salary range for this position is $86,500 to $158,100 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Network & Security Engineer Senior Consultant operates Visa's internal data communications systems, including LANs and WANs. This role plans, designs, and implements networked systems, manages configurations, supports and troubleshoots network problems, and coordinates with vendors for installation of routers, bridges, concentrators, and switches. The position is responsible for project implementation, provides training, assists with proposal writing, and conducts project planning, cost analysis, and vendor comparisons. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Design, engineer, and support IP networks for Visa's commercial network infrastructure, connecting Visa to commercial clients. Plan, design, implement, and support network systems of moderate complexity in the commercial network environment. Provide network design documentation to project teams, peers, and network support organizations. Provision new client processing by completing necessary network updates and providing technical assistance to clients in support of network changes. Perform third-level support within Visa to resolve network issues and provide guidance to other Visa teams involved in network troubleshooting. Work with Cybersecurity to ensure Visa security standards are met and provide technical assistance for investigation and analysis of security events. Oversee management and maintenance of DDI (DNS, DHCP, and IPAM) infrastructure, ensuring high availability and reliability of DDI services. Implement DNS changes and updates aligned with business requirements; provision new domains, networks, ACLs, templates, subnets, and DHCP scopes. Develop self-service tools for application and infrastructure clients to gain better visibility of real-time network health and performance. Architect, design, and deliver innovative solutions to enable public cloud connectivity with Private DCs, including developing standard automation templates for deployment of public cloud infrastructure and platform components. Drive software development for Visa's Infrastructure as Code (IAC) efforts across Private/Hybrid/Multi Cloud environments. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Degree in Math, Science, Engineering, or Computer Science, Information Systems or related field OR Bachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum two (2) years of experience in a directly related field OR minimum four (4) years of directly related experience. Experience in network design and engineering on customer-facing networks. Experience in IP networking, switching, and routing in MPLS-based networks. Experience with network hardware including certified experience with Cisco networking devices (formal certification to CCNP level or working towards CCNP is expected or relevant work experience). Experience and expertise with IP routing protocols OSPF and BGP, plus knowledge of Cisco encryption technologies (IPSec, SSL), standby protocols HSRP and VRRP, and network address translation (NAT). Experience in scripting to facilitate automation. Experience deploying and using SDWAN technologies, particularly Cisco and Versa. Experience working on connectivity solutions using leading public cloud platforms such as AWS and GCP. Experience working in a variety of network operating models including managed services. Experience in the use of network management tools such as Solarwinds and Netbrain. Experience implementing engineering solutions for network monitoring and alarming tools, leveraging vendors such as Netcool, IBM SevOne/ITNM, Solarwinds, Netscout, Netbrain, and Thousandeyes. Familiarity with DMVPN implementation in a high availability setting. Experience with DDI (DNS, DHCP, and IPAM) in an enterprise network, with a solid understanding of DNS and DHCP concepts. Experience with open-source infrastructure as code software and automation software development tools including Terraform, Terragrunt, env0, Ansible, Python, Chef, Puppet, or Salt. Experience with container technologies in a production environment (e.g. Docker, OpenShift, Kubernetes) and related ecosystem products. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

ISS Database Engineer Department: Information & System Support Role Type: Individual Contributor Why This Role Matters This role helps Member Operations transform scattered data into trusted insights that improve service, decision-making, and operational efficiency. By strengthening the data warehouse, reporting tools, and data quality practices, this role enables leaders and stakeholders to access accurate information when they need it. What You'll Do Support the consolidation of Member Operations data sources into a centralized data warehouse that improves access, consistency, and usability. Collaborate with business and technical partners to turn data needs into practical warehouse designs, reporting solutions, and technology road maps. Maintain data architecture, schemas, data models, data dictionaries, and ETL processes that support accuracy, integrity, and scalability. Improve data quality by streamlining data flow, validating information, and reducing outdated, unused, or duplicate records. Develop dashboards, reports, trend analyses, and visualizations that help leaders monitor performance and make informed decisions. Serve as a liaison between Member Operations divisions and enterprise IT to support existing systems, databases, SharePoint sites, and new technology needs. Contribute to projects, compliance requirements, and process improvements by delivering timely, reliable data solutions aligned with business priorities. Why You'll Love This Role You'll help build a centralized data foundation that directly improves how Member Operations supports its stakeholders. You'll work at the intersection of business strategy and technology, partnering with both operational leaders and IT experts. You'll turn complex data into clear, meaningful insights that influence decisions and improve processes. You'll strengthen hands-on expertise in data warehousing, ETL, data modeling, reporting, and business intelligence tools. You'll contribute to high-impact projects that support innovation, compliance, data quality, and long-term technology growth. Experience: Required 2 -3 years data warehouse maintenance experience to include design, ETL, and automated processes Experience maintaining large, complex, and raw data sets in databases Experience working in a fast-paced environment and ability to balance priorities from multiple initiatives Preferred Financial services industry and IT servicing and origination systems experience Experience with data processing and enterprise software applications Skills & Knowledge: Required Intermediate SQL and database administration skills Statistical intuition, application, and knowledge of various analytical approaches Ability to work in a fast-paced environment and balance priorities from multiple initiatives Data display skills and working knowledge of Crystal Reports/SSRS/PowerBI/Tableau or similar applications Demonstrated ability to translate large volumes of data into insights Proficient with Microsoft Office Products including Access, Excel, Visio, and PowerPoint Strong analytical, technical and conceptual skills with attention to detail Results oriented with a strong focus on the customer (both internal & external) Effective time management and prioritization skills Strong service orientation to align needed support to the desired business outcome Extensive knowledge of data processing and enterprise software applications. Preferred Excellent SQL and database administration skills Education: Required High school education or equivalent Preferred Bachelor's degree in Computer Science, Information Systems, related field of study OR equivalent relevant work experience and knowledge Licenses & Certifications: Preferred Certifications in database management and administration Schedule: Monday-Friday, 8:30 am-5:30 pm Compensation Details: Paygrade: 2BC The expected pay range for this position is $78,416.00 - $82,831.50 annually/hourly. Credit Human is committed to equitable and transparent compensation practices. Final compensation is determined based on a variety of factors, including experience, skills, qualifications, internal equity, and geographic work location. This role may also be eligible for: Bonus opportunity up to 7% Employees are eligible for a comprehensive benefits package, including: Medical, dental, and vision insurance Pension Paid time off and company holidays Tuition reimbursement To get to know Credit Human and learn more about our benefits, visit our careers page at Job Location: This position is onsite based in San Antonio, TX Credit Human conducts employment background checks that may be used for decisions related to employment. Standard checks include NCUA Administrative and Prohibited Orders, ChexSystems, employment verification, criminal history (convictions and outstanding warrants within the past seven years), and degree verification (if applicable). Additional checks may include motor vehicle records, credit checks, or fingerprinting depending on the role. Applicants must be currently authorized to work in the United States on a full-time basis. Credit Human is committed to equitable and transparent pay practices. The compensation range listed above represents a good-faith estimate of what we expect to pay for this position at the time of posting. Final compensation will be determined based on experience, qualifications, internal equity, and business needs.

The Doctors Company is seeking a Manager Engineering & Sr Data Architect to join our team. This is a hybrid opportunity preferably located at our office in New York City, or any other TDC Group or ProAssurance office location. The Manager Engineering & Sr Data Architect will lead the Data and AI architecture and engineering function as a technical manager with direct accountability for team performance, staffing, talent development, technical direction, and delivery. This is a team leader role that supervises a team of data engineers, analytics engineers, and architects. The role owns Microsoft Fabric architecture, enterprise data and semantic modeling, integration design, and governed AI enablement while building an engaged, capable, and accountable team. Qualifications: Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; equivalent experience considered. 10+ years of deep enterprise data, analytics, engineering, or architecture experience with accountability for architecture decisions in production. 3+ years directly managing and supervising data engineers, analytics engineers, architects, or similar technical staff, including managing a team through change. Direct accountability for hiring, onboarding, goal setting, performance reviews, coaching, career development, workload planning, succession planning, employee relations, and retention. Hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, security, and capacity governance). Expertise in enterprise data and semantic modeling: conceptual, logical, physical, dimensional, and canonical models; data contracts; Power BI semantic models; lineage; RLS/OLS/CLS; and performance tuning. Strong SQL, Python, PySpark, Delta Lake, batch, CDC, streaming, API, DataOps, automated testing, CI/CD, observability, and cost-management experience. Constructive, solution-oriented leadership and strong executive communication; regulated-industry experience (insurance, healthcare, or financial services) preferred. People Leadership, Performance & Team Development Clearly define and communicate team roles, expectations, and responsibilities. Provide coaching, guidance, and support to help employees achieve performance and development goals Deliver consistent, constructive, feedback to recognize achievements, address challenges, and reinforce desired behaviors. Conduct regular 1:1 meeting and ensure timely completion of performance review cycles, maintaining alignment and accountability. Hold staff accountable for compliance with organizational policies and standards. Foster a culture of continuous learning, innovation, and accountability by encouraging team members to pursue new challenges and opportunities. Model and reinforce organizational values, actively recognizing and celebrating behaviors that exemplify them. Microsoft Fabric Architecture & Platform Delivery Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities. Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting. Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity-management patterns. Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails. Enterprise Data, Semantic Model & Integration Architecture Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety, underwriting, actuarial, and finance domains. Establish Power BI semantic model standards for measures, calculation groups, naming, certified datasets, reuse, refresh, performance, lineage, ownership, and RLS/OLS/CLS. Define data contracts, model versioning, metadata, glossary, master/reference data, ontology, and knowledge-graph alignment. Design secure integrations across Fabric, Azure, operational systems, content platforms, and external providers using APIs, events, CDC, streaming, files, and batch patterns. Engineering Excellence, Governance, Reliability & Cost Establish Git-based delivery, pull-request review, automated testing, CI/CD, environment promotion, release, rollback, observability, incident response, and operational-readiness standards. Define service objectives and telemetry for pipelines, capacities, semantic models, AI services, and critical data products; lead root-cause analysis and durable remediation without blame. Embed least privilege, secrets management, PHI/PII controls, sensitivity, retention, data quality, lineage, auditability, and responsible AI controls into delivery patterns. Forecast, monitor, explain, and optimize platform capacity, compute, storage, licensing, and vendor cost against business value. Strategic Partnership, Communication & Change Leadership Translate strategy and ambiguous business needs into decision-ready options, recommendations, diagrams, roadmaps, staffing plans, and executable work for technical and executive audiences. Partner with Enterprise Architecture, Security, Infrastructure, Governance, Claims, Underwriting, Actuarial, Reporting, Legal/Compliance, Finance, and vendors to resolve tradeoffs and dependencies. Communicate risks early with context, impact, options, and a recommended action; represent decisions with composure, transparency, and sound judgment. Lead adoption of architecture standards and new ways of working through stakeholder engagement, education, measurement, and reinforcement. Learning, Development, & Compliance Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Other Duties as Assigned Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Salary Range: $124,548 - $163,879. This position is eligible for participation in the Company's Short-Term Incentive Plan (STIP), offering additional compensation driven by individual and company performance. Compensation is determined based on factors such as skills, experience, education, and market considerations. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay. Salary may also include additional geographic differential for employees working in higher-cost labor markets, including states such as New York and California. While the posted range reflects our anticipated hiring range, we remain open to considering candidates with exceptional qualifications, specialized expertise, or directly relevant experience that may warrant compensation outside of that range. Benefits We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more: Health, dental, and vision insurance Health care tax-free spending accounts with a company match 401(k) and Roth IRA with company match, as well as catch-up plans for both Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service) Paid holidays each calendar year Life and travel insurance Tax-free commuter benefits In-person and online learning opportunities Cross-function career opportunities Business casual work environment Time off to volunteer Matching donations to qualifying nonprofit organizations . click apply for full job details

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Technology Product & Platform Management Job Sub Function: Multi-Family Technology Product & Platform Management Job Category: People Leader All Job Posting Locations: Raritan, New Jersey, United States of America Job Description: We are searching for the best talent for a Sr. Manager, MedTech Technology Product Lifecycle Management Platform professional to be located in Raritan, NJ Position Summary The individual in this role owns the vision, strategy, and prioritization of the PLM platform level features to meet business and technical needs. Enable platform and product squads by driving technical delivery and value realization for MedTech Product Lifecycle Management (PLM) globally. As part of the MedTech R&D Product Lifecycle domain, this role will work with business owners, product management, portfolio partners, architecture and suppliers in PLM and digitally connected domains to align the direction and solution intent while managing a multi-million-dollar budget. This person will drive business value & outcomes related to MedTech R&D PLM solutions and connected digital capabilities to enhance capabilities, insights, business process and automations for the MedTech sector wide PLM platform. This individual will deeply understand user needs and expected business value, delivering solutions that unlock efficiency and drive progress against critical metrics to improve MedTech R&D, specifically in the domain of R&D PLM. Major Duties & Responsibilities Visionary leader primarily response for platform/product strategy and ensure business value realization and outcomes Own end-to-end platform lifecycle activities including technical leadership driving the vision, strategy, prioritization, delivery, performance management for the platform, including Production Operations processes and services. Enable AI-driven and data-centric lifecycle processes across the ecosystem Ensure scalability, reliability, and standardization and reduce fragmentation across OpCos / legacy systems Cross-Functional alignment (product, Architecture, portfolio) and collaborate with Product Owners and Product/Platform Architects to build a technical backlog that optimizes business value in partnership with supporting teams Work in close partnership with the Platform Architect and technology counterparts to manage cross-team dependencies in roadmaps and backlog, refine technical backlog by leveraging product roadmaps and by anticipating functional and non-functional requirements while balancing business value and technical feasibility, cost and delivery timelines Strong vendor management and partnership with our suppliers and act as the expert in the field understanding latest tech trends in the space of PLM Drive the interaction model between the product & platform teams for short-, medium- and long-term business and technical needs. Maintain clear cadences, standards and best practices to ensure clarity and agreement of decision rights leading to empowered teams working with minimal friction. Ensure the PLM platform fits into the broader Enterprise Architecture guidelines and standards, e.g., APIs, security controls, approved technologies, data standards, etc. and maintain leading expertise on tech capabilities relevant to the platform Drive selection of platform solutions, e.g., CloudX strategy, including build vs. buy decision. Collaborate with Lead Engineers on the architecture of critical capabilities & solutions which balance constraints such as resiliency, cost, quality and time. Manage effort to build financial budgets and resource plans based on solution objectives, key deliverables and timing Accountable for PLM System Change Control, Risk Management Processes and related IT Procedures across the platform and products Drive continuous improvement across the platform and products through automation, insights & metrics, best practices, and coaching Product Owner & Product Managers on platform consumption best practices ensuring consistency across the platforms Engage in an Office Operations role to process onboarding and off-boarding of stable team resources. Implement necessary ISRM, GxP, SOX, Asset mgmt. and other (compliance) control processes. Manages a team of individual contributors and/or Supervisors and is accountable for conducting effective performance management. Responsible for on-call on and off business hour rotations, lead incident triage and restoration, and drive root-cause analysis with corrective and preventive actions Qualifications: Experience and Education: A Bachelor's degree or equivalent experience, preferably in Information Technology, Computer Science, Business, Engineering or related field highly preferred 10+ years performing progressively advanced duties as specified below Skills: Expert in applicable domain/products and in the tech stack used within the J&J PLM domain, principally with PTC Windchill and ThingWorx Expert in Product Development and Manufacturing business processes including the application of software solutions to solve business problems and accelerate new product introduction. Demonstrable experience leading teams of employees and/or contractors, including goal setting and career development Demonstrable experience leading multiple global efforts with time & cost related constraints in a fast-paced regulated environment Experienced in software product development lifecycle, leading a product backlog, managing release plans, removing blockers and leading teams operating in the Scaled Agile Framework (SAFe) Strong facilitation, collaboration & influencing skills; ability to form relationships, empower and collaborate at all levels in the organization and interact optimally across the regional and global organization Proven track record to tackle problems head on and think creatively about technology solutions to execute against a business or program need providing technology and resource estimates and plans. Strong commitment to continuous process improvement Experience in vendor management, and creating technology product vision and strategies Experience in building and integrating products with platform, data management, API architecture/design, and Cloud Native technologies Experience engineering products over their lifecycle in a multi-team / channel context Demonstrates AI Fluency-the ability to use and evaluate AI technologies responsibly (with a primary focus on generative AI in the workplace)-to improve productivity and decision quality while maintaining human accountability, managing risk, and complying with applicable governance, privacy, security, and policy requirements Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via , internal employees contact AskGS to be directed to your accommodation resource. Required Skills: Product Lifecycle Management (PLM) Preferred Skills: Business Alignment, Business Architecture, Business Process Design, Business Savvy, Computer Programming, Cross-Functional Collaboration, Developing Others, Human-Computer Interaction (HCI), Inclusive Leadership, Leadership, Motivating People, Platform as a Service (PaaS), Product Knowledge, Software Development Management, Strategic Change, Tactical Planning, Team Management, Technical Credibility The anticipated base pay range for this position is : $122,000 - $211,025 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans . click apply for full job details

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Applications for this position will be accepted on an ongoing basis. Job Description Services Sales Solutions Leads are critical to setting customers up for success by prescriptively shaping engagements of all sizes, including large, transformational programs. Partnering with an Account Partner, you will lead the pre-sales discovery process, defining customer outcomes and translating them into a viable high-level solution design. Your primary responsibility is developing and articulating comprehensive implementation proposals and Statements of Work (SOWs), including detailed estimates, timelines, and staffing plans. You will apply proven methodologies and orchestrate subject matter experts to validate the solution's viability. After the sale, you will ensure a clean transition to the delivery team, ensuring all project details, scope, and commitments are clearly understood to enable rapid mobilization. Your Impact Contribute to high client satisfaction by ensuring the solutions you shape are set up for delivery success and align tightly with customer objectives. Ensure business value is defined and realized by translating executive-level customer objectives into clear, executable implementation plans. Partner closely with Account Partners to structure the deal's financial strategy and implementation roadmap, and then co-presenting the value and strategic outcomes directly to the client. Act as a trusted advisor to executive-level customers, developing narratives that articulate the execution plan and timeline of the transformation program. Prescriptively shape large, complex, and transformational engagements, moving beyond stated requirements to recommend the right path for customer success. Uncover and articulate future opportunities to drive sustained customer value and Salesforce expansion. Partner with Services Sales Solution Architects, Business Strategists and other relevant roles, as necessary, on comprehensive pre-sales discovery workshops, engaging functional stakeholders to understand the complete business challenge and desired outcomes. Define and manage the end-to-end engagement scoping process, establishing clear boundaries, assumptions, and success criteria. Lead the high-level functional solutioning and scope definition, ensuring the proposed approach is viable and aligns with Salesforce best practices. Harmonize diverse perspectives-from Customer Business/IT to Sales, Legal, and Revenue Recognition-to synthesize competing interests into a cohesive solution that aligns with commercial targets and delivery excellence. Own the creation of the final Statement of Work, defining precise deliverables, scope, and implementation terms and conditions in partnership with Legal and Revenue Recognition teams for a clean hand-off. Develop detailed, accurate project estimates, staffing plans, and resource mixes, ensuring the engagement is properly structured for success. Proactively identify, assess, and mitigate engagement risks during the pre-sales cycle, leading Risk assignments to protect both the customer and Salesforce. Manage a seamless transition from the pre-sales phase to the delivery team, ensuring all project details, scope, and commitments are clearly understood. Serve as a multiplier, mentoring others and amplifying the team's knowledge by sharing best practices in solutioning, scoping, and engagement shaping. Required Qualifications Minimum Experience: 10+ years' experience delivering enterprise-level consulting services, with 7+ years focused on the Salesforce platform. Financial services industry (Banking, Insurance, Wealth) experience preferred. Project Leadership: 7+ years of deep enterprise-level project or program experience (SaaS preferred), utilized to inform accurate scoping and estimation. Pre-Sales Leadership: Demonstrable experience leading the end-to-end discovery, solutioning, estimating, and SOW-creation process for multi-cloud, transformational programs. Sales Collaboration: Active involvement in supporting the sale of professional services, including leading proposal development and presenting to C-level executives. Go-to-Market Support: Experience leading strategic scoping, proposal development, RFP responses, and executive-level presentations. Platform Expertise: Deep demonstrated technical and/or functional proficiency in the Salesforce platform and its solutions. Financial Services Cloud experience preferred. Ideal Certifications: Salesforce Platform Administrator, Salesforce Sales Cloud Consultant, Agentforce Specialist, and Salesforce Service Cloud certifications are strongly preferred. Executive Presence: Extremely strong written and verbal communication skills, with a proven ability to build advisory relationships and establish credibility with executives. Facilitation Skills: Demonstrated ability to influence a group audience, facilitate complex solutioning workshops, and lead executive-level discussions regarding roadmap and scope. Analytical Skills: Excellent analytical, problem-solving, and conflict-resolution skills; adept at mediating conflict and fostering healthy dialogue during negotiation. Business Acumen: A delivery-informed mindset with a deep understanding of cloud-based technologies and the ability to translate ambiguous business requirements into tangible, scoped solutions. Commercial Acumen: Proficiency in deal architecture and pricing levers; demonstrated ability to manage discounting and lead commercial negotiations to maximize deal profitability. Leadership: Proven ability to lead and mentor cross-functional teams and individuals, exercising discretion and latitude in reaching critical goals. Logistics: Ability to travel will be required and varies based on client needs. Education: Degree or equivalent relevant experience required (e.g., military experience, volunteer roles, work experience, etc.). Advanced degree (Master's in related field or MBA), preferred. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision . click apply for full job details

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol "WTFC." Why join us? An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 12 years) and Employee Recommended award by the Globe & Mail (past 6 years) Competitive pay and discretionary or incentive bonus eligible Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few Promote from within culture Why join this team? This position has the opportunity to interface with and have a positive impact on multiple areas of Wintrust's business We hold ourselves accountable to high standards, share wins, operate ethically, and have fun The Senior Cloud Architect helps to develop, maintain and govern Cloud architecture and the technology portfolio roadmaps across multiple Cloud application portfolios. Work across all architectural disciplines, including business (processes/activities/functions/information), application, data, integration, infrastructure, security and technology, and creates and maintains related best practices, patterns and reference architectures. The Senior Cloud Architect facilitates the development, implementation and maintenance of standards, guidelines and statements of direction for company IT system architectures, establishing a framework that constrains the design of systems for the purpose of integration of Hybrid Cloud systems and accessibility of data supporting various interdependent business processes and functions. Works closely with applications system architects, data architects, network technologists, business analysts and other stakeholders to ensure consensus on direction, in line with global strategies for future integration. Focus is often on establishing and maintaining a reusable Cloud architectural blueprint to reduce business costs, improve time-to-market of products and services, improved product quality, and customer satisfaction. Design, architect and implement new Cloud capabilities that address any gaps and provide integrated end to end scalable, enterprise-class services. Has a proven capability to analyze existing products and infrastructure, understand how to leverage existing investments and introduce best of breed, emerging Cloud infrastructures: IaaS, PaaS and SaaS across Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP) or other major cloud computing services. What You'll Do Architectural Blueprinting: Lead the design of scalable, highly available, and fault-tolerant systems and ecosystems in AWS, Azure and GCP. Cloud Strategy: Develop and maintain the cloud roadmap, ensuring alignment with business goals and industry best practices (Well-Architected Framework) Governance & Compliance: Establish guardrails for resource provisioning to ensure security compliance (HIPAA, GDPR, SOC2, etc.) and operational consistency. Infrastructure as Code (IaC): Drive the transition towards a fully automated environment using tools (e.g. Terraform, Pulumi, or CloudFormation) to eliminate manual configuration drift. Migration Orchestration: Lead the strategy for migrating legacy workloads to the cloud (Re-Hosting, Re-Platforming, and Re-Architecting). CI\CD Integration: Partner with DevOps teams to integrate architectural patterns into automated deployment pipelines. Performance tuning: Identify bottlenecks in current architecture and implement caching, CDN, and load-balancing strategies to optimize latency. Technical leadership: Act as final escalation point for complex cloud technical hurdles. Stakeholder Communication: Translate complex architectural decisions into business terms for C-suite executives and non-technical stakeholders. Mentoring: Level up our Cloud Engineers through design reviews, pair programming and architectural workshops. Contribute to the definition of architectural cloud strategies and plans for enterprise's information technology. Conduct assessments, studies, and/or surveys to obtain data; analyzes data to advise and recommend cloud solutions. Participate in key planning sessions to advise and clarify capabilities, limitations, and trade-offs of established enterprise architectures and technology in general. Develop and maintain a strong understanding of enterprise's businesses. Understand current and future needs of the business and align cloud technology roadmap to deliver upon those needs. Identify, analyze, and communicate cloud architecture and integrations options and make recommendations to management. Analyze project requirements with development teams and influence the appropriate technical design at the project level maintaining consistency with architecture vision. Develop architectural diagrams that document project plans and production systems. Develop documentation on recommended cloud solutions that would include relevant research, cost analysis data, risk information, implementation strategies and industry positions. Conduct industry research and evaluations in order to develop cloud solutions to resolve business needs. Contribute to the Architecture Standards and Review Board (ASRB); ASRB capabilities, documentation and processes Responsible for third-party vendor relationships related to area of responsibility. Qualifications 10+ years of experience. 7+ years of experience in Software Engineering or System Administration, with at least 5+ years of Cloud Architecture experience. IT Cloud Architecture, Design, and Implementation utilizing Microsoft Azure, AWS, GCP. Cloud Proficiency: Expert-level mastery of AWS, Azure and or GCP. Deep knowledge of core services (Computing, Storage, Database, Networking, Cloud Governance). IaC Mastery: Proven experience managing production environments via IaC tools (e.g. Terraform, Ansible etc.) Containerization: Deep expertise in Kubernetes (EKS/AKS/GKE) and Docker orchestration. Networking: Strong understanding of VCPs, Subnets, Transit Gateways, DNS, and Hybrid-Cloud connectivity. Multi-Cloud Experience: Experience designing redundancy across two or more cloud providers. Serverless Architecture: Proven track record of deploying event-driven architecture using Lambda, Azure Functions, or Google Cloud Functions. Deep understanding of cloud computing technologies, applications, and trends. Strong cloud migration and cloud management skills with emphasis on cloud resource management and security. Must have excellent written and verbal communication skills, along with interpersonal, customer service skills and leadership skills. Strong knowledge of software development life cycle (SDLC), architecture frameworks, design patterns, and programming concepts. Experience in designing and implementing enterprise-scale cloud systems and applications. Experience in project management, including budget and time management. Ability to work effectively in a fast-paced, dynamic environment with changing priorities. Certifications or 10+ years of experience across a wide range of Information Technology disciplines. Must have at least one of the following Certifications: Professional level Cloud Certifications (e.g. AWS Certified Solutions Architect-Professional) Certifications in Architecture Frameworks (e.g TOGAF, Zachman) Benefits Medical Insurance • Dental • Vision • Life insurance • Accidental death and dismemberment • Short-term and long-term Disability Insurance • Parental Leave • Employee Assistance Program (EAP) • Traditional and Roth 401(k) with company match • Flexible Spending Account (FSA) • Employee Stock Purchase Plan at 5% discount • Critical Illness Insurance • Accident Insurance • Transportation and Commuting Benefits • Banking Benefits • Pet Insurance Compensation The estimated salary range for this role is $117,000.00 - $158,000.00, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate's qualifications, skills and experience. From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status . click apply for full job details

Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. ML Engineer is responsible for building and maintaining ML platform infrastructure that powers AI/ML applications across the organization. This role is suited for a hands-on engineer with practical experience in AWS, SageMaker, Kubernetes, GPU orchestration, Infrastructure as Code, and MLOps, with a passion for building scalable, secure, and reliable platforms. The position requires an experienced ML platform engineer who can design cloud and on-prem infrastructure, manage model deployment environments, modernize legacy ML pipelines, and enable Data Scientists and AI Engineers to move models from research to production. The team is tasked with building scalable ML infrastructure and platform tooling, and the successful candidate will contribute to architectural decisions, implementation standards, and best practices across the ML platform. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools, Microsoft Copilot, ChatGPT, GitHub Copilot, and other AI-enabled productivity platforms to support everyday work. Key Responsibilities: Lead and deliver specific platform engineering deliverables as a Sr. ML Engineer. Provide guidance to the engineering team on building scalable ML infrastructure, deployment patterns, and platform capabilities. Improve the productivity of Data Scientists and AI Engineers by developing tooling that simplifies model deployment and productionization. Act as a platform design authority and shape best practices and methodologies within the ML platform team. Design and build scalable ML pipelines, orchestration frameworks, and model serving infrastructure. Collaborate with Data Scientists, AI Engineers, infrastructure teams, and security partners to integrate AI/ML solutions into production systems. Build and operate secure cloud and on-prem infrastructure using AWS, Kubernetes, SageMaker, Terraform, and related platform technologies. Support GPU-enabled infrastructure and serving frameworks for AI/ML, GenAI, and LLM workloads. Modernize legacy ML pipelines and adopt emerging technologies to improve reliability, scalability, and operational efficiency. Communicate technical concepts, platform capabilities, and architectural decisions to technical and non-technical stakeholders. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: Specialist: 4 or more years of relevant work experience. Experience designing, building, and maintaining scalable ML platform infrastructure for AI/ML applications. Experience with AWS services such as EC2, S3, EKS, SageMaker, IAM, VPC, and CloudWatch. Experience managing Kubernetes clusters and containerized ML workloads using Docker. Experience with ML pipeline and orchestration tools such as Kubeflow, Airflow, MLflow, or similar platforms. Experience building infrastructure automation using Terraform, CloudFormation, or other Infrastructure as Code tools. Experience developing CI/CD pipelines for ML model deployment and infrastructure changes. Experience implementing secure cloud architectures using IAM roles, VPCs, least-privilege access, and secure networking patterns. Experience with Python and shell scripting for automation, tooling, and platform operations. Experience collaborating with Data Scientists, AI Engineers, and cross-functional teams to move models from research to production. Experience with generative AI, large language models, LLMOps, or GenAI infrastructure. Experience with GPU orchestration for ML training, inference, capacity management, and workload optimization. Experience with ML serving frameworks such as vLLM, TensorRT-LLM, KServe, Triton, or similar technologies. Experience building and operating hybrid cloud or on-prem/cloud ML infrastructure. Experience with distributed computing frameworks such as Spark or distributed ML workloads. Experience improving infrastructure productivity using AI-assisted tools such as GitHub Copilot, ChatGPT, or similar tools. Experience developing robust, secure, and scalable platforms in enterprise or regulated environments. Experience conducting research, experimentation, or proof-of-concept work with emerging AI/ML infrastructure technologies. Experience mentoring junior engineers and leading implementation of key platform modules. Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,400.00 to $ 191,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. Manager; Software Engineering leads a team responsible for reviewing business requirements and developing functional and technical design documentation. This role oversees the design and implementation of testing procedures for APIs, abstractions, and integration patterns to address distributed computing challenges, including end-to-end and integration testing. The Sr. Manager participates in design reviews, providing input on requirements, product designs, schedules, and potential issues, and works across the team to ensure productivity, predictability, and delivery of high-quality results. The position includes accountability for code review and the team's development and testing activities, as well as participation in proof of concepts and technical evaluations of new technologies. The Sr. Manager is expected to foster a collaborative environment, ensuring the team meets business needs and delivers robust solutions. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) and agentic development to support everyday work. Essential Functions: People Leadership: Direct, mentor, and build a high-performing team of 8+ software engineers. Drive career development, performance management, regular 1:1s, and goal setting. Team Execution & Delivery: Oversee end-to-end application development deliverables including unit design, coding, code reviews, testing, and release management. Resource & Capacity Planning: Manage team workload, sprint planning, hiring, onboarding, and resource allocation to meet project timelines and deliverables. Technical & Strategic Guidance: Collaborate with technical leads, architects, and product managers to define solution approaches, assess scope, and evaluate technical feasibility. Agile Leadership: Drive agile development workflows utilizing modern open-source, CI/CD, and DevOps tools to streamline continuous integration and delivery pipelines. Cross-Functional Collaboration: Partner closely with global cross-functional teams, including product management, QA, security, and operations, to resolve blockers and ensure aligned delivery. Compliance & Quality: Ensure development adheres to Visa Development Management Methodology, Technical Security Requirements, and Secure Software Development Lifecycle (SSDLC) protocols. Documentation & Process Improvement: Maintain clear software, operational, and architectural documentation while continually improving engineering practices and procedures. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience. Experience building and supporting large-scale, high-performance, mission-critical applications. Strong hands-on software engineering experience, including coding, code reviews, and technical design. Proven ability to lead technical initiatives and drive architecture decisions. Experience with cloud-native technologies, distributed systems, APIs, and microservices. Experience supporting Tier-0 or highly available production systems. Ability to mentor engineers and provide technical leadership across engineering teams. Strong understanding of software engineering best practices, including CI/CD, testing, observability, and operational excellence Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. 3+ years of direct people-management experience preferred; candidates who have led teams through technical influence, matrix leadership, or technical leadership without direct authority will also be considered Demonstrated experience leading software engineering teams, including delivery management, technical oversight, performance accountability, and talent development. Experience translating business and product requirements into scalable technical solutions, architecture decisions, delivery plans, and technical documentation. Proven ability to lead the design, development, testing, integration, deployment, and production support of complex, mission-critical applications. Strong experience overseeing API platforms, distributed systems, microservices, and enterprise integration patterns. Experience leading architecture and design reviews, evaluating technical tradeoffs, and ensuring solutions meet requirements for scalability, reliability, security, and performance. Experience establishing engineering standards and maintaining accountability for code quality, testing, secure development, release readiness, and production stability. Proven ability to manage delivery risks, dependencies, capacity, and priorities across multiple teams and cross-functional stakeholders. Experience evaluating emerging technologies, leading proofs of concept, and guiding their adoption based on business value, technical feasibility, risk, and operational readiness. Experience leading globally distributed engineering teams and collaborating across Product, Architecture, Security, SRE, Infrastructure, QA, and Operations. Strong understanding of distributed computing, cloud-native architecture, microservices, event-driven systems, and multi-region deployments. Experience building or operating large-scale, mission-critical systems on Google Cloud using technologies such as GKE, Cloud Run, Pub/Sub, Cloud Spanner, Cloud SQL, Bigtable, or Dataflow. Demonstrated success delivering secure, resilient, and high-quality solutions in a fast-paced environment with competing priorities and complex dependencies. Experience applying CI/CD, DevOps, infrastructure-as-code, observability, SRE, capacity planning, incident management, and disaster-recovery practices. Ability to communicate technical strategy, architecture decisions, delivery risks, and recommendations clearly to engineering teams, cross-functional partners, and senior leadership. Experience integrating emerging technologies, including AI-assisted engineering capabilities, into software development practices while maintaining appropriate security, quality, and governance controls. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.