34 jobs found

Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.

Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.

Job Description Job Description Apply now: Operations Engineer, location is Chicago, IL. The start date is July 27 for this contract position. Job Title: Operations EngineerLocation-Type: Onsite (Chicago, ILType: Part Time (3 days a week: Mon, Tues, Thurs)Start Date Is: July 27Duration: 1 Month Contract (Potential Extension)Compensation Range: $27/hr - $30/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship . Job Description:Our client is seeking an Operations Engineer to provide onsite desktop and hardware support for a professional services environment. This individual will support end users by troubleshooting hardware issues, configuring new equipment, resolving workstation problems, and delivering exceptional customer service. The ideal candidate has experience supporting executives and professional services users, is highly reliable, and enjoys providing hands-on technical support in an onsite environment. Day-to-Day Responsibilities: Provide Tier 1 and Tier 2 desktop support for end users in the Chicago office. Troubleshoot and resolve hardware issues involving laptops, desktops, monitors, docking stations, keyboards, mice, and related peripherals. Configure and deploy Windows 11 laptops and desktop workstations. Support Office 365 applications and basic end-user software issues. Diagnose and resolve connectivity issues involving docking stations, monitors, Wi-Fi, and workstation peripherals. Replace and install hardware as part of ongoing laptop and monitor refresh initiatives. Receive, prioritize, and complete assigned ServiceNow tickets. Escalate issues appropriately while collaborating with other desktop support administrators. Work directly with the IT Operations Manager to prioritize daily support activities. Deliver exceptional customer service while supporting attorneys, executives, and professional staff. Document work performed and update ServiceNow tickets with accurate resolution details. Maintain a professional, responsive, and customer-focused approach during all user interactions. Minimum Requirements: 3 years of desktop support or IT support experience. Experience supporting users in a professional services environment (law firm, consulting, financial services, accounting, etc.). Strong hands-on hardware support experience with laptops, desktops, monitors, keyboards, mice, docking stations, and peripherals. Experience supporting Windows 11 environments. Experience supporting Microsoft Office 365. Experience working with ServiceNow or a similar ticketing system. Strong troubleshooting skills related to desktop hardware and connectivity issues. Excellent customer service and communication skills. Comfortable supporting attorneys, executives, and other senior-level professionals. Reliable, responsive, and able to work independently. Strong attention to detail and follow-through. Preferred Qualifications: Experience supporting law firms or legal environments. Experience with laptop refresh or hardware deployment projects. Basic networking and Wi-Fi troubleshooting experience. Bachelor's degree. Experience supporting executive leadership. Experience with asset management and hardware inventory.

Job Description Job Description: Technical Lead, Automation & AI Enablement Role Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics. When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance option TireHub funded Health Savings Account Additional benefit options including TireHub paid short/long term disability and life insurance benefits Paid vacation and holidays Parental leave programs Build your financial future with 401k including TireHub match Access to tire discounts, perks, and so much more! Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special The individual must exhibit the following core attributes of the TireHub commitment: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Team Leadership & People Development Directly manage, mentor, and develop a team of engineers, fostering a high-performance culture aligned with TireHub's values. Set clear goals, provide regular feedback, and support the professional growth and career development of direct reports. Establishes team standards for solution design, documentation, testing, and deployment practices across the automation and AI program. Acts as a force multiplier: translate business priorities into clear technical direction, unblock team members, and ensure consistent delivery velocity. Coordinates effectively across onshore and offshore team members, adapting communication and workflows to support a distributed team model. AI & Automation Architecture Designs and own the enterprise architecture for TireHub's automation and AI enablement programs, spanning Power Platform, Copilot Studio, and Microsoft Foundry. Establishes architecture patterns that connect AI agents, automated workflows, and enterprise systems - including Microsoft Fabric, Dataverse, Azure services, ERP system, and third-party APIs. Defines technical standards, governance frameworks, and best practices for solution design, security, and lifecycle management across the automation and AI stack. Leads evaluation of new Microsoft AI and automation capabilities, running rapid proof-of-concepts and pilots to assess business value and implementation feasibility. Partners with IT security to ensure automation and AI solutions adhere to data privacy, access control, and compliance requirements. Collaborates with business stakeholders to build deep understanding of core business processes and translate that context into scalable, AI-powered automation solutions. Provides technical leadership across complex, cross-functional initiatives - guiding design decisions, reviewing solution architecture, and ensuring delivery quality. AI Enablement & Automation Engineering Leads the design, development, and deployment of AI agents and copilots using Microsoft Copilot Studio, including conversational agents, task automation bots, and orchestrated multi-agent solutions. Architects and implements AI solutions on Microsoft Foundry, including model selection and grounding, prompt engineering, RAG (retrieval-augmented generation) patterns, and responsible AI guardrails. Builds and modernize end-to-end automation workflows using Microsoft Power Automate, Power Apps, Logic Apps, and Azure integration services - connecting automated processes with AI capabilities where they add business value. Designs robust integration layers using REST APIs, Dataverse, Service Bus, and Azure services to connect automation and AI solutions across TireHub's enterprise systems. Ensures reliability, observability, and security of deployed solutions through comprehensive error handling, logging, alerting, and monitoring frameworks. Partners with business units to analyze processes end-to-end, identify AI and automation opportunities, and translate functional requirements into technical specifications and user stories. Delivers technical demonstrations and enablement sessions to stakeholders to drive adoption and ensure the full value of AI and automation investments is realized. Maintains comprehensive technical documentation and establish knowledge standards across the team. Delivery & Operations Operates within an Agile/Sprint environment; lead sprint planning and delivery cadence for the automation and AI team. Balances direct technical contribution with oversight responsibilities, contributing to solution design, code review, and architecture decisions. Demonstrates a commitment to continuous learning by researching, recommending, and applying emerging automation and AI techniques to advance TireHub's capabilities. Ensures individual and team adherence to TireHub policies, procedures, and guidelines. Complete other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: People Leadership: Establishes clear expectations, provides ongoing coaching and feedback, and develops the technical and professional capabilities of direct reports. Builds a team culture grounded in accountability, collaboration, and continuous improvement. Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches - particularly at the intersection of AI and automation - that enhance performance and drive organizational success. Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for AI-powered automation with a business-focused mindset (e.g., cost savings, efficiency gains, competitive advantage) and takes decisive action to execute. Organizational Awareness: Uses knowledge of systems, processes, and culture inside TireHub to identify high-value automation and AI opportunities and understand the cross-functional impact of proposed solutions. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT, and vendor partners to design and deliver automation and AI solutions that meet real business needs. Agility and Adaptability: Thrives in a fast-moving AI landscape; actively monitors and experiments with emerging Microsoft AI and automation capabilities to keep TireHub's program at the leading edge. Problem-Solving: Advanced critical thinking skills to diagnose and resolve complex technical issues across automation workflows, AI agent behavior, integration failures, and system performance. Communication: Excellent communication skills to interact with team members, stakeholders, and external partners. Excels at translating AI and automation concepts into clear business value for non-technical audiences. Education/Experience: Bachelor's degree in Computer Science, Information Systems, or related field is preferred. Master's degree is a plus. 7+ years of experience in automation engineering, solution architecture, or a related technical role. 5+ years of hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). 2+ years of experience designing and deploying AI-powered solutions, including conversational AI, AI agents, or LLM-based applications. Demonstrated experience with Microsoft Copilot Studio, including agent design, topic authoring, channel deployment, and integration with enterprise data sources. Experience with Microsoft Foundry (Azure AI Foundry) including model deployment, prompt engineering, RAG pipelines, and responsible AI practices. 2+ years of direct people management or technical lead experience, including managing onshore and/or offshore team members. Experience with Azure integration services including Logic Apps, Service Bus, Azure Functions, and Application Insights. Proficiency in API integration patterns (REST, GraphQL, OAuth/token-based authentication). Proficiency in SQL and at least one programming language (Python, C#, Scala). Demonstrated project management skills and ability to lead cross-functional initiatives in an Agile environment. Required Knowledge, Skills . click apply for full job details

Job Description Job Description Job Title: Network Security Engineer Department: Information Technology Location: Rochester, NY Classification: Exempt Reports To: Director of Information Technology Please note: Candidates must be authorized to work in the United States and able to work onsite in the Rochester, NY office. Sponsorship is not available for this position. Company Overview: Woods Oviatt Gilman, LLP is a leading and reputable full-service law firm dedicated to providing exceptional legal services to our clients. With a team of highly skilled and experienced attorneys, we strive to deliver comprehensive and effective solutions to meet the diverse needs of our clients. Our headquarters is in Rochester, NY with additional offices in Albany and Buffalo, NY. We foster a collaborative and inclusive work environment where every team member is valued and respected. We encourage open communication, teamwork, and professional growth. Our firm promotes a healthy work-life balance and supports the well-being of our employees. Position Summary: The Network Security Engineer is a hands-on technical role responsible for implementing, configuring, and maintaining the firm's security controls across a hybrid environment, including FortiGate firewalls, endpoint protection, cloud email and Microsoft 365, Intune-managed devices, and a co-managed monitoring and detection service. The Engineer works under the direction of the Director of Information Technology, who sets security policy and priorities for the department, and provides the technical assessment, recommendations, and documentation that support those decisions. Because the firm safeguards confidential and privileged client information, this position calls for strong technical skill, sound judgment, discretion, and clear communication with both the IT team and firm personnel. Duties and Responsibilities: Network and Perimeter Security Administer, tune, and monitor FortiGate firewalls, including security policies, VPN configuration, intrusion prevention, web and content filtering, and logging Implement and maintain network segmentation, secure remote access, and wireless security across firm locations, in line with the department's standards Maintain secure connectivity for remote and hybrid users, including VPN and conditional access Conduct scheduled reviews of firewall rules and network configurations, recommend changes to the Director of Information Technology, and maintain accurate network security documentation Endpoint, Identity, and Email Security Administer the firm's endpoint protection platforms, including CrowdStrike and Microsoft endpoint protection, covering policy configuration, detection review, containment actions, and agent coverage Configure and maintain device compliance, configuration, and application deployment through Microsoft Intune in a hybrid environment, including full-disk encryption and recovery key handling Configure and maintain identity and access controls across Microsoft Entra ID and on-premises Active Directory, including multifactor authentication, conditional access, and privileged account settings, and perform periodic access reviews Configure and maintain security settings for cloud email and collaboration, including mail flow and filtering rules, phishing and malware defenses, email authentication records, and Microsoft 365 security configuration Perform vulnerability and patch management across servers, endpoints, and network devices, including scanning, prioritizing findings, tracking remediation, and reporting status to the Director of Information Technology Monitoring, Detection, and Incident Response Serve as the day-to-day technical contact for the firm's managed monitoring service, triaging alerts, validating findings, and carrying issues through to resolution Investigate security events and perform containment, eradication, and recovery steps in accordance with the firm's incident response procedures, escalating promptly to the Director of Information Technology Contribute to the development, maintenance, and testing of the firm's incident response plan, including participation in tabletop exercises Verify that backup, recovery, and business continuity controls are functioning and tested, and support the department's disaster recovery planning Security Program Support, Privacy, and Compliance Provide technical evaluation and recommendations to support the department's selection and adoption of a recognized security framework such as the NIST Cybersecurity Framework, CIS Controls, or ISO 27001 Implement and maintain the technical controls that support the framework, and assist in assessing and reporting the firm's posture against it Assist the Director of Information Technology in drafting and maintaining information security policies, standards, and procedures, and implement the technical measures that carry them out Maintain security documentation, control evidence, and a working risk log, and recommend remediation priorities to the Director of Information Technology Support compliance with applicable privacy and data protection obligations, including the New York SHIELD Act and other state privacy requirements, and requirements applicable to regulated client data such as protected health information Prepare technical responses and supporting documentation for client security requirements, including outside counsel guidelines, security questionnaires, and client and third-party audits, and complete remediation items assigned by the Director of Information Technology Support obligations arising from clients in regulated industries, including financial services requirements such as NYDFS Part 500 as applied to the firm through client agreements Perform technical security reviews of vendors, applications, and services under consideration, and provide findings and recommendations to the Director of Information Technology Assist with independent assessments, including penetration testing and external audits, and complete assigned remediation work Awareness and Collaboration Administer the firm's security awareness program, including training delivery, phishing simulations, and user communication developed with the Director of Information Technology Partner with the IT team on secure configuration, change management, and project work, and provide technical guidance to service desk staff on security escalations Report on control status, vulnerabilities, incidents, and open remediation items to the Director of Information Technology Maintain current knowledge of emerging threats, vulnerabilities, and security technologies relevant to the legal industry, and share findings with the department Technical Skills: Required Hands-on administration of FortiGate firewalls, including policy management, VPN, intrusion prevention, and content filtering Endpoint detection and response administration, ideally CrowdStrike Falcon, and familiarity with Microsoft endpoint protection Microsoft 365 security administration, including cloud email protection, mail flow and filtering, phishing defense, and email authentication using SPF, DKIM, and DMARC Identity and access administration across Microsoft Entra ID and on-premises Active Directory in a hybrid configuration, including multifactor authentication and conditional access Microsoft Intune administration, including device compliance and configuration, application deployment, and device encryption in a hybrid environment Solid networking fundamentals, including TCP/IP, routing and switching, VLANs, DNS, DHCP, segmentation, and wireless security Vulnerability management and patch management practice, including scanning, prioritization, and remediation tracking Security monitoring and log analysis, and experience working with a managed detection and response or co-managed SOC provider Working familiarity with a recognized security framework such as the NIST Cybersecurity Framework, CIS Controls, or ISO 27001, and experience implementing controls in support of one Familiarity with privacy and data protection requirements, including state breach notification obligations and handling of regulated data Ability to produce clear technical documentation, control evidence, risk write-ups, and status reporting for both technical and non-technical readers Preferred Prior experience in a law firm or other professional services environment, including familiarity with outside counsel guidelines and client security audits Experience preparing responses to client security questionnaires and third-party risk assessments Azure or other cloud security administration PowerShell or comparable scripting for automation and reporting Experience with data loss prevention, email encryption, or information rights management Experience with security awareness platforms and phishing simulation tools Familiarity with SD-WAN, zero trust, or secure access service edge architectures Relevant certifications such as Fortinet NSE, CompTIA Security+, GIAC credentials, Microsoft SC-200 or SC-300, CISSP, or CISM Qualifications and Competencies: Strong analytical and problem-solving skills, with sound technical judgment in assessing and prioritizing risk . click apply for full job details

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description We are building a team that develops AI agents to solve hard security problems and you will be tackling the hardest ones. This is a hands-on, senior IC role. You will architect, build, and ship agentic AI systems that operate autonomously within security environments, while also driving the technical direction and standards for how these systems are built, tested, and secured. This is not a management role and not a pure research role. You will write code, ship systems, and get your hands dirty but you will be working on problems where there is no playbook yet. You will define the approach, build the proof of concept, harden it for production, and write the technical guidance others follow. Responsibilities: Architect and build AI agent systems for security operations autonomous detection, investigation, response, threat hunting, vulnerability analysis, and risk assessment Tackle the novel, high-complexity problems: adversarial robustness of agent systems, secure agent-to-agent communication, guardrails for autonomous decision-making in high-stakes security contexts Develop frameworks, tooling, and patterns for building secure and reliable agentic AI systems then use them yourself Conduct original research and experimentation on agentic AI applied to offensive and defensive security, translating findings into working code Build proof-of-concept exploits and adversarial tests against agentic AI systems to identify failure modes and inform defensive design Develop and publish technical guidance and policy for agentic AI security grounded in systems you have built and broken Independently author security position papers on emerging technologies strategic, high-level documents that frame organizational thinking on new threat domains and drive downstream policy and technical guidance Serve as a subject matter expert and key driver of the AI Cybersecurity Maturity program, spanning application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development Integrate LLMs, custom models, and security tooling (SIEM, EDR, SOAR, cloud platforms, vulnerability scanners) into agent architectures Evaluate and adopt emerging AI capabilities (new models, frameworks, techniques) and determine their applicability to security problems Set technical direction for agent development practices, including evaluation frameworks, testing methodologies, and deployment patterns Mentor and elevate other engineers on the team through code review, design guidance, and technical leadership Qualifications Required: Bachelor's Degree with 9 years' experience; Master's Degree with 8 years' experience; PhD with 4 years' experience. Respective years of experience in cybersecurity, security engineering, or security research with substantial hands-on technical depth Strong software engineering skills you ship production systems, not just prototypes. Python required; additional languages a plus Deep expertise in at least two of: security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security Demonstrated experience building AI agents and AI/ML-powered security tools or automation that operated at scale Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow you build with agents, not just build agents Track record of original technical work published research, open-source tooling, conference presentations, or equivalent evidence of independent technical contribution Ability to work at the intersection of security and AI: you understand both the security implications of AI systems and how to apply AI to security problems Experience developing technical standards, frameworks, or guidance that others adopted Strong written and verbal communication you can explain complex technical concepts to both engineers and senior leadership, and you can write strategically about emerging technology risks at a level that shapes organizational direction Preferred: Experience with agent orchestration and autonomous systems (custom frameworks, LangChain, AutoGen, MCP, or similar) Background in adversarial ML, AI red teaming, or AI safety Familiarity with security compliance frameworks (NIST, ISO 27001, SOX) and how they apply to AI systems Published work (Black Hat, DEF CON, OWASP, academic journals, or equivalent venues) Experience in regulated industries (financial services, healthcare, critical infrastructure, government/defense) Contributions to open-source security projects OWASP, MITRE ATT&CK, or similar framework expertise applied in production environments Security clearance eligibility (not required) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Job Description Job Description Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. What you will do: Lead the DSP software and firmware architecture for the 5G NR modem physical layer (PHY) for satellite non-terrestrial networks (NTN), define subsystem boundaries and interfaces, and guide hardware/software partitioning with ASIC and system architects while remaining hands-on in critical implementation work. Set the PHY/link-level modeling and performance-validation approach across subsystems. Establish representative NTN scenarios, performance and power budgets, and acceptance criteria, and resolve architecture tradeoffs using simulation and implementation evidence. Guide the firmware architecture for real-time processing, memory, data movement, and accelerator control. Co-design low-power operation with ASIC architects, including hardware/software partitioning and power-state coordination; implement or optimize critical functions and resolve performance, power, or integration issues spanning multiple subsystems. Establish consistent reference-model, fixed-point, and test-vector practices across the modem PHY, enabling ASIC design and verification teams to trace requirements to expected behavior and reproduce discrepancies. Contribute to SystemC transaction-level modeling (TLM) and high-level synthesis (HLS) development, including synthesizable implementations, with guidance from engineers experienced in these flows. Lead DSP software and model contributions to pre-silicon verification and first-silicon bring-up across subsystems. Identify integration risks, agree validation priorities with design and verification leads, and drive resolution of issues spanning algorithms, firmware, and hardware. Lead cross-team technical decisions and architecture reviews, mentor engineers across seniority levels, and guide implementation sequencing and dependency resolution through prototype, tapeout, and silicon validation. What you bring to this role: Demonstrated depth in communication DSP and modem architecture, with a record of resolving difficult performance and implementation tradeoffs across interacting PHY subsystems. Ability to implement and debug numerical algorithms in C/C++, and to use Python or MATLAB for simulation, analysis, and test automation. Deep practical knowledge of 5G NR PHY implementation and relevant 3GPP specifications, with the ability to assess NTN requirements and translate them into coherent architecture, interfaces, and validation criteria. Demonstrated experience converting floating-point algorithms to fixed-point implementations, selecting numerical precision, and validating performance against a reference model. Demonstrated ability to architect and deliver embedded modem software across programmable processors and hardware accelerators, supported by hands-on implementation, optimization, and integration work. Experience guiding low-power ASIC/firmware co-design, allocating power budgets, and evaluating architecture tradeoffs against power estimates and hardware measurements. Ability to build reproducible tests, use version control, document technical assumptions and results, and explain discrepancies during code and design reviews. Evidence of technical leadership across multiple PHY subsystems, including hardware/software architecture decisions and delivery through pre-silicon validation and silicon bring-up; ability to resolve cross-team technical disagreements using clear analysis and test evidence. Typical background: BS with 10+ years, MS with 7+ years, or PhD with 5+ years of relevant experience in DSP, wireless communications, or embedded modem development, with a degree in Electrical Engineering, Computer Engineering, or a related field; equivalent demonstrated expertise is also welcome. These are guidelines, not mandatory minimums. Relevant doctoral research may count toward experience; demonstrated implementation, delivery, and technical leadership capability remains essential. Bonus points for the following: Experience establishing SystemC TLM or synthesizable HLS flows across teams, including model fidelity, hardware/software partitioning, implementation tradeoffs, and correlation with RTL or silicon results. Experience leading 5G NR NTN modem development or resolving satellite-specific acquisition, synchronization, Doppler, and timing challenges through simulation and hardware validation. Experience taking modem functions through pre-silicon verification and silicon bring-up, including correlation of simulation results with hardware measurements. Experience with 5G NR MAC, PHY/MAC interfaces, scheduling interactions, or HARQ procedures. Experience implementing and optimizing algorithms on vector DSPs, including SIMD intrinsics, vectorization, and efficient memory access. Experience validating ASIC power-management features through firmware, including clock or power gating, retention, and sleep/wake transitions under real-time constraints. Additional Requirements This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected. This is a full time, exempt position, based out of our Santa Clara office. The target base pay for this position is $140,000 - $200,000 annually. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used-so we're looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that's your experience - then we'll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: • An opportunity to really make a difference • Sustainability at our core • Fair and honest workplace • Innovative thinking is encouraged • Competitive salaries • Continuous learning and development • Health and wellness care options • Financial solutions for the future • Optional legal services (US only) • Paid holidays • Paid time off We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Requisition ID: 7081 Job Title: Global SAP Development Lead Job Country: United States (US) Here at Avanos Medical, we passionately believe in three things: Making a difference in our products, services and offers, never ceasing to fight for groundbreaking solutions in everything we do; Making a difference in how we work and collaborate, constantly nurturing our nimble culture of innovation; Having an impact on the healthcare challenges we all face, and the lives of people and communities around the world. At Avanos you will find an environment that strives to be independent and different, one that supports and inspires you to excel and to help change what medical devices can deliver, now and in the future. Avanos is a medical device company focused on delivering clinically superior breakthrough solutions that will help patients get back to the things that matter. We are committed to creating the next generation of innovative healthcare solutions which will address our most important healthcare needs, such as reducing the use of opioids while helping patients move from surgery to recovery. Headquartered in Alpharetta, Georgia, we develop, manufacture and market recognized brands in more than 90 countries. For more information, visit . Essential Duties and Responsibilities: The Global SAP Development Lead is responsible for driving both strategic and tactical initiatives related to SAP applications and integrations. This includes defining development standards, collaborating with functional and business teams to design solutions that maximize SAP's capabilities, and directing a team of developers across platforms such as BTP, ABAP, Web Dynpro and Fiori. The role also provides technical leadership for application integrations resulting from M&A, ensuring consistent design and execution across the SAP landscape. Key Responsibilities Ownership of all S4 HANA solution technical development including performance of quality checks, code reviews, and enforcing industry standard development practices Continual evaluation of SAP technology and industry trends to determine their potential impact on Avanos' ERP strategy Recommend modern technologies as appropriate to drive application and business performance. Provide leadership and work direction for a team of developers and integration specialists. Perform code reviews, quality checks, and enforce industry-standard development practices for all ERP applications, data, and integrations. Maintain complete project and solution development documentation. Utilize an extensive IT Development knowledge reservoir at the domain level to support change management and business adoption of technologies. Develop a deep understanding of all Avanos IT platforms and applications and their relationship to SAP S4. Perform analysis of cross-functional and complex business requirements Continually analyze the ERP environment to identify critical issues / opportunities and recommend solutions for improvement. Collaborate with M&A project teams across the organization to develop recommendations for integrating acquired applications. Collaborate extensively with Avanos IT application functional leads in developing and optimizing the ERP solution and its associated integrations to other systems. Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, or a related field; MBA is preferred. 15+ years of SAP development experience across multiple platforms (BTP, ABAP, Web Dynpro, Fiori, etc.) including hands on experience implementing User Exits, ABAP Enhancements, Reports and transaction objects, Scripts, BAPIs, Web Services, IDocs, BTEs, BRF+, and multiple internal / external integration technologies. Project and program management experience with implementations of diverse sizes across SAP and its modules Ability to understand, document, and translate business needs into solution requirements. Strong problem-solving abilities and experience in SAP implementations and solution optimization. Ability to estimate the financial impact of solution architecture options and alternatives. Ability to identify and analyze multiple solution options across a broad range of business problems. Ability to collaborate with and engage a variety of stakeholders appropriately. Experience working in a global organization across the full range of SDLC business processes: requirements, design, development, testing and deployment. Excellent verbal and written communication skills with the ability to communicate to all levels of a global organization. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Avanos Medical is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law. IMPORTANT: If you are a current employee of Avanos or a current Avanos Contractor, please apply here . Join us at Avanos Join us and you can make a difference in our products, solutions and our culture. Most of all, you can make a difference in the lives, people, and communities around the world. Make your career count Our commitment to improving the health and wellbeing of others begins with our employees - through a comprehensive and competitive range of benefits. We provide more than just a salary - our Total Rewards package encompasses everything you receive as an employee; your pay, health care benefits, retirement plans and work/life benefits. Avanos offers a generous 401(k) employer match of 100% of each pretax dollar you contribute on the first 4% and 50% of the next 2% of pay contributed with immediate vesting. Avanos also offers the following: benefits on day 1 free onsite gym onsite cafeteria HQ region voted 'best place to live' by USA Today uncapped sales commissions

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data centers have multiple components such as generators, uninterruptible power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. Key job responsibilities • Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. • Provide technical assistance and support to operations during life cycle of the data center. • Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. • Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. • Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. • Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. • Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. • Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholder's management. • Support Controls projects related commissioning activities in the data centers. • Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. • Develop and modify controls logic programming and graphical user interfaces. • Manage multiple stakeholder deliverables, requirements and navigate challenging situations. • Financially manage BMS and EPMS service contracts. • Frequently visit (locally) assigned in-operation data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of industrial controls and automation experience - 4+ years of general contractor and vendor management work (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution experience - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or an equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree. PREFERRED QUALIFICATIONS - Master's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, or MS degree - Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks. - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. - Experience designing data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 111 100.00 USD annually

Job Description Pay Range : $96,000 - $120,000 depending on relevant experience and qualifications MITER Brands is a residential window and door manufacturer that provides a leading portfolio of window and door brands for the new construction and replacement segments. MITER Brands, also known as Milgard, MI Windows & Doors and PGTI is one of the nation's largest suppliers of vinyl windows and patio doors, with plants across the country. The Systems Engineer is responsible for effective provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure. This individual participates in technical research and development to enable continuing innovation within the infrastructure. This individual ensures that system hardware, operating systems, software systems, and related infrastructure are continually up and running, and that system-wide backups and monitoring are accurate and complete. This position can be based in Tacoma, WA or North Venice, FL - Please note that there is a travel requirement listed below under Qualifications Why work at MITER Brands? Responsibilities Life cycle maintenance of systems Perform data backups and disaster recovery operations Provide restores from backups when requested Proactively check backup health and completeness Proactively monitor and respond to system wide health Analyze system logs and identify potential issues with computer systems Recommend changes to improve systems and network configurations and determine hardware or software requirements related to such changes Respond to system outages Install and configure new hardware and software Responsibility for documenting the configuration of the system Troubleshoot problems, both hardware and software, with systems Apply operating system updates, patches, and configuration changes Perform routine audits of systems and software Responsibilities sometimes require working evenings and weekends, sometimes with little advance notice Qualifications High School Diploma or GED required; Bachelor's degree in Computer/IT related field is desired 7+ years' experience as a Server System Administrator in Windows, Unix, and/or Linux 5+ years' networking experience, including firewalls, switches, and routers Experience in a role supporting multiple locations is desired Experience with DNS, DHCP, Active Directory Experience managing MS Internet Information Server (IIS) Experience with MS SQL, Oracle or MySQL is desired Experience with NetApp Storage is preferred Experience with VMware and Nutanix virtualization platforms, including deployment, administration, and optimization of enterprise infrastructure preferred Strong knowledge and understanding of business needs, with the ability to establish and maintain a high level of customer trust and confidence Excellent problem-solving skills Excellent verbal and written communication skills, including documentation Strong interpersonal skills Willing to travel 10% - 25% Physical requirements Prolonged standing and periodically lifting, stretching and twisting Prolonged sitting and terminal use May be required to lift up to 50 lbs. periodically Hand dexterity and strength Work outside normal hours may be required, including some weekends as needed to support the needs of the business Work environment Work performed primarily indoors and in production type facility What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan options Prescription drug coverage Dental insurance Vision insurance Teladoc virtual healthcare services Employee Assistance Program (EAP) Annual Wellness Clinic Financial Protection Company-paid Life Insurance Voluntary Life Insurance Company-paid Short-Term Disability Company-paid Long-Term Disability Supplemental Hospital Indemnity Insurance Critical Illness Insurance Accident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays 401(k) retirement plan with company match Tuition Reimbursement Program Legal Insurance Identity Theft Protection Pet Insurance Team Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the U.S. and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. Key job responsibilities As a Data Center Controls Engineer you will: • Troubleshoot and perform Root Cause Analysis or Corrective Action for BMS and EPMS related issues in AWS data centers. • Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. • Provide technical assistance and support to operations during life cycle of the data center. • Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. • Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. • Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. • Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. • Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. • Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholders management. • Support Controls projects related commissioning activities in the data centers. • Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. • Develop and modify controls logic programming and graphical user interfaces. • Manage multiple stakeholder deliverables, requirements and navigate challenging situations. • Financially manage BMS and EPMS service contracts. • Frequently visit (locally) assigned in-operation data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems PREFERRED QUALIFICATIONS - 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure - Experience reading and interpreting construction specifications and drawings for all domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Manassas - 111 100.00 USD annually

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 Sr. Product Manager, Visa Accept SDK, is responsible for defining and executing the technical product strategy for Visa's merchant acceptance SDKs, APIs, and developer platforms. This role drives the end-to-end product lifecycle, from technical requirements definition and solution architecture through implementation, commercialization, and global deployment. The position requires deep collaboration with Engineering, Architecture, Security, Solutioning, Developer Experience, and Regional Product teams to deliver scalable, secure, and developer-friendly acceptance capabilities. The ideal candidate combines strong product management expertise with a solid understanding of payment technology, APIs, SDK development, mobile and web integration patterns, tokenization, authentication, merchant onboarding, and transaction processing. This individual will identify new product opportunities, define platform capabilities, establish technical roadmaps, and ensure solutions meet the needs of developers, partners, fintech's, merchants, acquirers, and wallet providers. All roles require digital fluency, including the ability to leverage emerging technologies such as Generative AI tools (e.g., Microsoft Copilot, ChatGPT) to accelerate product development, technical documentation, developer enablement, and operational efficiency. Key Responsibilities: Define and execute the technical product strategy and roadmap for Visa Accept SDKs, APIs, and developer platform services. Own the end-to-end product lifecycle, including requirements gathering, technical design reviews, development prioritization, testing, launch readiness, and post-launch optimization. Partner closely with Engineering and Architecture teams to design scalable, secure, and resilient SDK frameworks supporting merchant acceptance use cases across multiple channels and markets. Translate business, technical, and regulatory requirements into detailed product specifications, API requirements, SDK capabilities, and developer experience enhancements. Drive platform capabilities supporting merchant onboarding, credential management, tokenization, authentication, risk controls, settlement, reporting, and transaction processing. Establish and maintain SDK architecture standards, versioning strategies, backward compatibility requirements, and release management processes. Collaborate with solution architects, implementation teams, and external partners to support integrations with acquirers, payment facilitators, processors, ISVs, fintech's, wallets, and merchant platforms. Define API contracts, developer workflows, reference architectures, and integration patterns to simplify implementation and accelerate adoption. Use data, telemetry, developer feedback, and operational metrics to prioritize enhancements and improve SDK performance, reliability, and adoption. Partner with Security, Compliance, and Risk teams to ensure platform adherence to Visa, regulatory, privacy, and industry standards. Develop technical business cases and investment proposals for new platform capabilities, balancing customer needs, engineering complexity, and commercial objectives. Create and maintain developer-facing assets including technical documentation, implementation guides, sample applications, SDK release notes, and developer enablement materials. Monitor emerging technologies, payment industry trends, AI-driven development practices, and competitor platforms to identify opportunities for innovation and platform differentiation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor 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 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 Experience in roles such as product manager, product owner, business process analyst, or sales operations. Experience in applying Agile principles across design, development, testing, and product management. Experience in developing software capabilities to support sales, service, or customer relationship management functions. Experience in multi-tasking, organizing, managing, and implementing complex projects directly or through supervision. Experience in cross-functional collaboration with systems, partner product, and engineering teams. Experience managing API, SDK, platform, or developer-focused products Strong understanding of payment processing, merchant acquiring, card-not-present and card-present transaction flows. Knowledge of REST APIs, mobile SDKs (iOS/Android), web SDKs, authentication protocols, tokenization, and cloud-native architectures. Familiarity with payment ecosystems including merchants, acquirers, processors, payment facilitators, gateways, wallets, and fintech platforms. Ability to work effectively with engineering teams and communicate complex technical concepts to both technical and non-technical stakeholders. Experience defining developer experience (DX) strategies and driving adoption of technical platforms at scale. Knowledge of software development methodologies, CI/CD practices, observability, API lifecycle management, and platform governance. Agile certifications such as CSM and CSPO, or their equivalent. Experience in identifying, assessing, and managing tradeoffs in product development. Experience in identifying points of failure and formulating error-handling approaches for product resiliency. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 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, including the requirements of Article 49 of the San Francisco Police Code.

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.

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 Visa's Cyber Product Development team is looking for a DevSecOps focused Software engineer with a passion for GenAI/Agentic development,Open source & Automation solutioning,and desire to apply development skills to solve problems via and integrated approach. You will be responsible for working with stakeholders to collect detailed requirements and develop solutions through coding to further Cyber Security initiatives. In this position, you are a passionate and talented engineer/developer who will independently drive deliverablesand utilize complex problem-solving abilities and coding/testing/debugging skillswithin a team environment. You must be dedicated to working with stakeholders, adhering to timelines & delivering production-ready code in short timeframes and willing to go beyond the routine. Essential Functions: Use modern GenAI coding tools and agentic development patterns to rapidly design, build, test, and deliver cybersecurity automation solutions. AgenticDesign Patterns & Methods creating and using agents, sub agents, agent swarms, memory, context and prompt refinement. Develop with Python to create agents and sub-agents for alert triage, evidence collection, enrichment, investigation summarization, remediation recommendations, and analyst workflow automation. Delivery production ready code using cutting edge development tools and harnesses (Codex, Claude Code, CLINE etc) focusing on developing with supervisor-agent workflows that coordinate planning, coding, validation. Comfortable &highlyproficient with Codex, Claude Code or CLINE. Develop and release cybersecurity investigation agents with safe tool use, clear execution boundaries, and auditability across existing large tool bases. Create GenAI-enabled MCP, A2A, & Tool based REST APIs integrations. Work in both relational (SQL), non-relational databases (Elastic) & Cloudbased data storage systems. Build production-ready Python, Django, Linux web-stack, and containerized applications for secure internal tools, APIs, dashboards, and cybersecurity automation services. Apply SQL, Elastic Stack, Lucene-based search, and large-scale data analysis to correlate security signals and support cybersecurity investigations. Design, containerize, deploy, and operationalize solutions using CI/CD, automated testing, validation, monitoring, and quality assurance practices. Validate agentic systems through unit testing, integration testing, regression testing, security testing, tool-call review, generated-code review, and agent behavior evaluation. Troubleshoot and optimize Python applications, Linux environments, containers, APIs, web services, and cybersecurity automation workflows. Work with stakeholders to clarify requirements, iterate on designs, deliver working solutions, document outcomes, and support production deployments. Communicate clearly and collaborate effectively across cybersecurity, engineering, operations, and product teams in a fast-moving delivery environment. 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 Product Development Experience Agent Development experience Strong understanding of Cybersecurity Incident Response concepts Agentic Design Patterns & Methods - using Generative AI models via function calling, specialized prompting. Comfortable with concepts of Langchain/smith, Crew ai/Camel ai and other GenAI agent & tool based solutions. 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) Masters graduates must have 2+ years of relevant work experience to qualify. Minimum Bachelor's degree required from an accredited institution. Hands on experience in developing & coding GenAI Agentic solutions using GenAI design patterns and concepts using Python across a large code base. Experience standard software development practices, usage of source control, CI/CD pipelines & strong coding background. Strong understanding of Cybersecurity Incident Response concepts Agentic Design Patterns & Methods - using Generative AI models via function calling, specialized prompting. Comfortable with concepts of Langchain/smith, Crew ai/Camel ai and other GenAI agent & tool based solutions. Linux - Strong Linux and systems engineering knowledge. Python - Expert level experience with Python, Python web frameworks, Web Front End - Django/Angular/React and/or Java Script experience. Independent - no micromanaging here, but you must be able to communicate via continuous documentation, JIRA Ticketing updates Experience in Project life cycle activities on development and maintenance projects. Including CI/CD and tools development. 4+ years in Python or other similar development technology. Strong customer centric mindset. Proactive sense of urgency and 'can do' attitude Strategic thinker who can balance big picture strategy with detailed, flawless execution Financial services and card payments experience is a plus Excellent communication skills Excellent team player Anthropic Claude, OpenAI Codex, OSCP (Offensive Security Certified Professional), or similar AI engineering and cybersecurity certifications are a plus. Desired Skills: Python development experience for cybersecurity automation, investigation workflows, API integrations, and production support. Cybersecurity incident response experience, including alert triage, evidence collection, enrichment, containment, remediation tracking, and analyst workflow improvement. AI development design-pattern experience, including agentic workflows, tool-calling, supervisor agents, sub-agents, planning agents, validation agents, and context management. SOAR and security platform experience, SIEM tools, WAF, firewall, endpoint, cloud security, or threat-intelligence platforms. Information for US Applicants For roles located in the US, the estimated salary range for this position is $116,800.00 to $ 180,600.00 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.