51 jobs found

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

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 We are seeking a highly experienced Lead Software Engineer to join Visa's Shared Services and Cloud Product Development organization. This role is ideal for a senior technologist who thrives as a lead generalist, operating across infrastructure, security, scalability, and platform engineering, while building foundational services that enable Visa's global product ecosystem. In this role, you will design and deliver Java/J2EE-based shared services that power multiple Visa products and platforms, influencing internal engineering standards for scalability, security, reliability, and reusability. You will collaborate across Product, Engineering, Security, SRE, and Architecture teams to build resilient, cloud-native systems that support Visa's mission at global scale. The Work Itself Design, build, and evolve core shared services that support Visa's product development ecosystem and reach approximately 40% of the world's population. Lead the development of scalable, secure, and reusable Java/J2EE-based services that serve as foundational platforms for multiple product teams. Act as a lead generalist, contributing across application architecture, infrastructure, security, and scalability to ensure shared services are enterprise-grade and future-ready. Collaborate cross-functionally to create architecture and design artifacts and deliver best-in-class software solutions used across Visa's technical offerings. Drive continuous improvements in product quality, platform reliability, and operational excellence across shared services. Develop robust, highly available systems serving diverse use cases, including consumer-facing products, B2B platforms, and business-to-government solutions. Leverage modern technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later capabilities. Contribute to team and organizational growth through mentorship, technical leadership, and continuous learning initiatives. Essential Functions Provide deep technical leadership within Shared Services Product Development, with a strong understanding of how shared platforms enable downstream product innovation. Lead discovery and design sessions with product partners to translate business requirements into scalable, secure shared-service architectures. Define and formalize best practices and standards for Java/J2EE development, API design, security, and service scalability. Lead planning, piloting, and integration of new platform capabilities, including infrastructure enhancements, security controls, and AI-enabled tooling. Design and implement cloud-native, containerized services using Docker and Kubernetes, ensuring high availability, fault tolerance, and elastic scalability. Partner closely with Security teams to implement secure API gateways, authentication and authorization mechanisms, and compliance-driven architectures. Analyze systemic patterns across defects, incidents, and performance metrics, driving long-term platform improvements. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Preferred Qualifications • 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD • 13+ years of relevant work experience in lieu of a degree. • 8-10 years of experience with an Advanced Degree, or 6+ years of work experience with a PhD. • Proven ability to define technical needs, develop execution plans, coordinate resources, and deliver results across multiple initiatives. • Demonstrated success leading multiple projects simultaneously and resolving priority or scheduling conflicts. • Strong understanding of container-based cloud architectures, including Kubernetes and Docker. • Experience with cloud migration and multi-cloud strategies. • Experience designing elastic, scalable architectural patterns for high-traffic web applications. • Solid understanding of Service and IT Operations Management and DevOps operating models, including deployment and capacity planning. • Strong experience with enterprise integration, including RESTful web services and API-first architectures. • Deep understanding of security requirements, industry standards, and modern security threats and mitigation strategies. • Experience designing and implementing secure API gateway solutions with dynamic security standards. • Experience with CI/CD-driven architectures and automation-first development practices. • Experience developing commercial software on Unix/Linux platforms. • Proven track record in a technical leadership role, including ownership of system design and delivery. • Experience with consumer-facing application development at scale. • Strong verbal, written, and interpersonal communication skills with both technical and non-technical stakeholders. • Excellent collaboration skills and the ability to influence cross-functional teams without direct authority. • Demonstrated passion for mentoring, team building, and continuous improvement. The Skills You Bring • Technical Leadership: Proven experience leading complex software initiatives across distributed systems and shared service platforms. • Primary Language Expertise: Strong expertise in Java (Core Java, J2EE, RESTful services). • Architecture & Scalability: Experience designing highly available, scalable, and secure distributed systems. • Cloud & Infrastructure: Hands-on experience with container-based architectures using Docker and Kubernetes, and cloud platforms (AWS, Azure, or GCP). • Security: Strong understanding of secure API design, authentication/authorization, secure gateway patterns, and enterprise security standards. • DevOps & Operations: Experience with CI/CD, deployment automation, observability, capacity planning, and production operations. • AI Enablement: Familiarity with integrating AI tools and services to improve platform intelligence and developer productivity. • Collaboration: Strong partnership skills working with Product, QA, DevOps, SRE, and Agile/Scrum teams. • Mentorship: Experience coaching engineers on technical excellence and career development. U.S. Applicants Only The estimated salary range for this position is $192,300.00 to $ 307,600.00 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.

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 We are seeking a highly motivated Hadoop Engineer with strong development skills and hands-on experience in Big Data platforms. The ideal candidate will be responsible for supporting, maintaining, automating, and enhancing large-scale Hadoop and cloud-based ecosystems and contributing to software development initiatives. This Sr Software Engineer role is for an individual with excellent software engineering with hands-on development experience and a strong foundation in computer science, full-stack development and AI/ML technologies. This role involves software initiatives, leveraging modern programming languages, cloud platforms, APIs and Generative AI to deliver scalable, high-quality business solutions. Perform engineering and administration duties for Big Data platforms built on open-source technologies such as Hadoop, Spark, and HBase Design, develop, and implement automation solutions, tools and products to improve operational efficiency, platform reliability, and system scalability. Write clean, efficient, and maintainable code based on business and technical requirements, and support the testing, deployment, and validation of software solutions. Build and enhance front end applications using HTML, CSS, JavaScript, and SQL, applying strong UI/UX principles. Develop and maintain back end services using Python, Java, and related technologies, including API design and integration. Leverage Generative AI (GenAI) to drive innovative solutions, improve productivity, testing, and automation. Collaborate with cross functional teams to translate business requirements into efficient technical solutions and tools. Excellent interpersonal, verbal, and written communication skills. This is a hybrid position. Expectations of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: 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) Bachelor's degree, 3+ years of relevant work experience 2+ year of experience with Big Data technologies (Hadoop, Spark) is required. Expertise in one or more programming languages Python or Java required. Hands-on experience in software engineering with strong coding skills Solid foundation in computer science fundamentals and data structures Proficiency in programming languages such as Python or JAVA and relevant AI libraries such as TensorFlow, PyTorch, etc. Strong experience developing front-end (HTML, CSS, JavaScript) and back-end services Demonstrated use of Generative AI in development and testing workflows Experience with LLMs and frameworks such as LangChain or LangGraph Working knowledge of Linux fundamentals and system concepts (CPU, memory, storage, networking) Experience with cloud platforms (AWS/GCP) is a plus U.S. Applicants Only The estimated salary range for this position is $110,700.00 to $ 171,800.00 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.

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 Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience 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 • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives 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 • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. U.S. Applicants Only 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.

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

Job Title: Senior Voice/Telecom Network Engineer Location: Charlotte, NC / Richmond, VA Duration: Contract - 10 months Pay Range: $70.23/hr (W2) Job ID: 407206 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a RTC Voice Access and Security Services Engineer to join our dynamic team. The ideal candidate will have strong experience in carrier/transport, SIP access, and session border controller technologies and a proven ability to deliver engineering documentation, program schedules, and executive-ready communications while driving telephony platform upgrades. Responsibilities: Provide program guidance and develop program timelines in partnership with the program management office. Develop ROM/SOW estimates for equipment placement and licensing. Create project documentation including BOMs, cost estimates, and equipment placement requests. Directly support business-initiated projects and provide status updates to leadership. Deliver engineering documentation and communication materials for senior leadership and C-level stakeholders. Provide local software and hardware support for SBC, security services, E911, SIP and session management, LAN/WAN, VoIP, and toll-free engineering with integrations to Avaya, Cisco, and Genesys. Complete SIT testing, document results, and develop scripts, MOPs, and low-level designs for implementation and configuration. Required Skills & Qualifications: 10+ years of telecommunications experience, including carrier-level SIP trunking and session border controllers. Proficiency with SIP, RTP/RTCP, ISDN, H.323, H.248, MGCP, and codecs. Experience with QoS configurations, jitter analysis, tuning, and bandwidth analysis. Knowledge of LAN/WAN communications, switches, and routers; 3-5 years in LAN/WAN networking. Extensive understanding of call flows, system architecture, design principles, and implementation methods. Strong troubleshooting and analytical skills with ability to learn and document new technologies and procedures. Experience in complex multi-layered network environments and cross-functional, geographically dispersed teams. Demonstrated communication skills, including PowerPoint, Visio, structured updates, and executive presentations. Preferred Skills: Hands-on experience with Ribbon 7k Session Border Controllers and SIP/TDM trunking. Experience supporting integrations with Avaya, Cisco, and Genesys in enterprise environments. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects Additional Details AUGUST start. Onsite required. Project: Telephony Platform Upgrade - Consumer. Locations: Charlotte NC1-025-05-23 or Richmond VA2-125-08-03. Hours per day: 8. Labor type: Technical. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Genesis10 is currently seeking a Junior Level: AI Agentic Senior Technical Engineer for a hybrid 9-12 month contract opportunity with a Regional Financial Institution located in Columbus, OH. This role will work on a hybrid schedule, 4 days per week on site. Candidates can work in multiple locations: Columbus, OH; Dallas, TX; Minneapolis, MN or Charlotte, NC. Compensation: $58.00 - $68.00 per hour, W2, depending on skill and experience level Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience developing AI-powered applications. Initially, the role focuses on building AI solutions for the Commercial Services Loan Operations team, with the expectation that these capabilities will eventually scale across the enterprise. This is a hands-on software development role that involves collaborating with other engineering teams. Unlike the senior role, this position does not include stakeholder management or technical leadership responsibilities. The selected candidate will assume ownership of the current project during the handoff phase and continue development efforts. Primary Requirements: 2+ years of software development experience 1-2 years of API development experience 1-2 years of Java development experience GCP and/or Google Cloud certification Professional software development experience required (recent graduates without industry experience will not be considered) AI development experience is a plus but not required Desired Skills: Azure experience AWS experience Experience with Pub/Sub and event-driven architectures Strong communication and collaboration skills Banking or financial services experience (preferred, but not required) Leadership experience in this domain is a plus, but not required Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website . Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Title: Senior Specialist AI & Data Solutions Location: 50% onsite at Lawrence Township, NJ Duration: Temp - 12 months Pay Range: $38-48/hr (W2) Work Schedule: Mon-Fri, 8am-5pm About TSR TSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivery highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond. In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions. This partnership expands TSR's ability to deliver broader capabilities, global delivery resources, and enhanced opportunities for both clients and consultants. Job Description We are seeking a Senior Specialist AI & Data Solutions to join our Global Digital Engagement Platforms team as the Web Delivery Lead. The ideal candidate will have strong experience in delivery leadership for Adobe Experience Manager (AEM), Python-based automation, AI/ML model integration, and prompt engineering and a proven ability to launch enterprise websites on time and within scope while embedding AI-powered capabilities across the web delivery lifecycle. Responsibilities: Lead end-to-end delivery of AEM-based websites across global markets, managing timelines, risks, and stakeholder expectations. Define and enforce delivery standards including intake workflows, QA processes, and go-live readiness criteria. Manage and mentor a distributed team of developers, content authors, and QA specialists. Ensure compliance with regulatory, accessibility (WCAG/EAA), cookie consent, and governance requirements. Maintain hands-on expertise across AEM Sites, Assets, and Cloud Service, guiding component development, template design, content fragment modeling, and multi-site management. Support adoption of headless CMS capabilities, GraphQL APIs, and omnichannel content delivery. Develop and maintain Python automation for site setup, content migration, metadata enrichment, QA validation, and reporting. Design, train, and fine-tune AI/ML models for automated tagging, content generation and summarization, predictive analytics, and image optimization. Lead prompt engineering initiatives for LLM-driven web copy, meta descriptions, SEO content, MLR package preparation, chatbots, and compliance pre-screening. Build and operationalize AI-powered workflows within AEM using APIs from OpenAI, Azure AI, AWS Bedrock, or similar platforms. Evaluate emerging AI tools and frameworks, prototype solutions, and present business cases for adoption with clear governance and benchmarks. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 2-3+ years in web delivery or digital platforms. AEM expertise: Sites, Cloud Service, Java, OSGi, JCR, JavaScript, Content Fragments, and multi-site management. Python 3.x proficiency for automation scripting, API integrations, and ML model development using TensorFlow, PyTorch, or Hugging Face. AI/ML and prompt engineering experience with LLMs (e.g., GPT, Claude, LLaMA), prompt optimization, model fine-tuning, RAG patterns, and vector databases. Proven ability to lead globally distributed, cross-functional teams in agile environments with clear stakeholder communication. Working knowledge of Adobe Experience Cloud, cloud platforms (AWS, Azure, GCP), and DevOps tooling (CI/CD, Docker, Kubernetes). Familiarity with CDN, DNS, WAF, cookie consent, web accessibility (WCAG/EAA), and pharma or life sciences compliance requirements. Experience with NLP, personalization algorithms, semantic search, and evaluation of emerging AI technologies. Preferred Skills: Experience with headless CMS patterns in AEM and GraphQL APIs for omnichannel delivery. Background in building AI-enabled content operations and governance, including prompt libraries and model evaluation benchmarks. Why TSR? At TSR, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment TSR is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume

Job Title Senior Java Full Stack Software Engineer (Java, Angular, GCP) Overview We are seeking an experienced Software Engineer to design, develop, test, and maintain enterprise web applications. The ideal candidate will have strong expertise in Java Full Stack development, Angular, Google Cloud Platform (GCP), REST APIs, microservices, and SQL databases. This role involves collaborating with cross-functional teams to build scalable, high-quality software solutions while following modern software engineering best practices. Key Responsibilities Collaborate with stakeholders to understand business requirements and deliver user-focused software solutions. Design, develop, and maintain scalable web applications using Java Full Stack technologies. Analyze software requirements and determine appropriate technology solutions. Design high-level software architecture and application components. Develop and maintain front-end applications using Angular. Build and maintain back-end services, APIs, and microservices. Collaborate with cross-functional teams including product owners, architects, and designers. Perform debugging, troubleshooting, testing, and performance optimization. Define and implement software testing strategies and quality practices. Follow modern development methodologies including Agile, Test-Driven Development (TDD), Continuous Integration (CI), and Continuous Delivery (CD). Support application security practices to protect user data. Evaluate and implement emerging technologies to improve development efficiency. Maintain source code using GitHub or equivalent version control systems. Required Qualifications Bachelor's degree. 5+ years of experience developing scalable web applications using Java Full Stack technologies. 5+ years of experience with SQL databases, including Oracle or PostgreSQL. 3+ years of experience developing front-end applications using Angular. Experience developing RESTful APIs and microservices. Experience with Spring Boot. Experience with Google Cloud Platform (Cloud Run, Pub/Sub, and Cloud Storage). Experience with MySQL, Oracle, or PostgreSQL. Strong understanding of object-oriented programming (OOP). Experience writing complex SQL queries for data retrieval and analysis. Experience with functional, integration, and regression testing (manual and automated). Experience using GitHub or equivalent source control tools. Experience troubleshooting application and performance issues. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to manage multiple priorities and work independently. Preferred Qualifications Experience with Kafka. Experience working in Agile development environments. Experience using Jira. Knowledge of TDD/BDD development practices. Experience with static and dynamic code quality analysis. Experience with Artificial Intelligence development. Familiarity with testing methodologies. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Genesis10 is currently seeking a Senior Network Engineer for a contract position with a Technology Company located in Burlington, MA. This is a 3-4 month contract opportunity. Pay $75.00 - $85.00ph W2 DOE This is an immediate, short-term engagement to support several critical network initiatives. The ideal candidate will be a senior-level engineer with deep hands-on expertise in large-scale enterprise networking, including Cisco, Juniper, and Palo Alto platforms, as well as hybrid cloud environments spanning AWS, Azure, and GCP. Responsibilities: Lead, maintain and support hybrid cloud networking strategies leveraging AWS Direct Connect, Azure ExpressRoute, and multi-region connectivity Architect and lead implementation of scalable, resilient, and secure network solutions across global data centers, cloud environments, and corporate sites Design next-generation data center fabrics using EVPN/VXLAN, BGP, and spine-leaf topologies Develop hybrid cloud networking strategies leveraging AWS, GCP, and Azure Oversee lifecycle management of core network infrastructure, including Cisco Nexus, Juniper QFX, and Palo Alto firewalls Define standards for wireless architecture, including predictive site surveys, RF planning, and performance optimization Drive automation and orchestration initiatives to streamline network operations Lead global network operations workflows, ensuring high availability and performance Establish proactive monitoring, alerting, and incident response protocols for critical infrastructure Maintain comprehensive network documentation, including diagrams, topologies, and CMDB entries Collaborate with Security and Compliance teams to implement segmentation and threat detection strategies Develop and maintain disaster recovery and business continuity plans for network infrastructure Partner with engineers for remote data center operations, including cabling and hardware deployment Engage with Engineering, Cloud, and IT teams to support product launches and infrastructure scaling Requirements: Experience in enterprise network engineering within a lead or principal role Expert-level knowledge of Cisco Nexus 9K/7K, Juniper QFX, and Palo Alto NGFW platforms Proven experience designing and deploying EVPN/VXLAN fabrics and BGP-based architectures Strong understanding of cloud networking and direct interconnects across AWS, Azure, and GCP Experience managing global network environments across multiple regions and time zones Strong experience with network troubleshooting, optimization, and operational support Excellent communication, documentation, and technical leadership skills Desired skills: Certifications such as CCIE, JNCIE, or equivalent expert-level credentials Experience with network automation tools and languages, including Python, Ansible, and Terraform Familiarity with VPN technologies and Zero Trust architectures Knowledge of network observability tools such as NetBox, Grafana, and SolarWinds Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Title Senior Cloud Platform Engineer (Kubernetes, AWS/GCP, Terraform) Overview We are seeking a Senior Cloud Platform Engineer to design, develop, and maintain cloud platform infrastructure and automation solutions. This role focuses on building scalable, resilient, cloud-native platforms while improving infrastructure automation, deployment reliability, and operational excellence across multi-cloud environments. This is a hybrid position requiring four days per week in the office. Key Responsibilities Design and build cloud-native platform solutions and automation tooling. Develop automated infrastructure provisioning workflows. Build and maintain Infrastructure as Code using Terraform. Manage GitOps-driven infrastructure deployment workflows. Provision, manage, and automate Kubernetes clusters. Create and maintain Helm charts for Kubernetes deployments. Configure and manage service mesh technologies, including traffic management and security. Build and operate cloud platform services across AWS and GCP environments. Configure and maintain API gateway and ingress infrastructure. Develop and maintain CI/CD pipelines. Automate deployment validation, rollback, and migration processes. Implement cloud security best practices, including IAM and workload identity. Build monitoring, alerting, and observability solutions. Develop automation tools and scripts using Python, Go, Bash, or Node.js. Participate in on-call support and incident response. Troubleshoot production infrastructure issues and drive long-term reliability improvements. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Cloud Infrastructure, Platform Engineering, DevOps, or Site Reliability Engineering. Experience provisioning and managing production Kubernetes clusters (EKS or GKE). 3+ years of experience managing cloud infrastructure on AWS and/or GCP. Strong experience developing Infrastructure as Code using Terraform. Experience with GitOps workflows. Experience creating and maintaining Helm charts. Strong troubleshooting and problem-solving skills in cloud infrastructure and distributed systems. Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or similar. Experience developing CI/CD pipelines. Strong infrastructure automation and scripting skills. Preferred Qualifications Experience with GKE, Pub/Sub, Cloud Storage, Workload Identity, VPC-SC, and Cloud Operations. Experience with API gateway technologies such as Tyk, Apigee, or NGINX. Experience with Istio service mesh. Experience with ArgoCD, Tekton, Concourse, or similar GitOps platforms. Programming experience with Python, Go, Java (Spring Boot), or Node.js. Experience with Atlantis, Terragrunt, or similar Terraform collaboration tools. Experience implementing cloud security best practices, including IAM, mTLS, OAuth2/OIDC, and multi-cloud security. Experience with gRPC services and Protocol Buffers. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Job Description: Location: This is a hybrid position that requires the candidate to work on-site in Renton, WA, on Tuesday, Wednesday, and Thursday, and to work remotely on Mondays and Fridays. Sr. Google Platform Engineer: The cloud platform underpins how services are built, deployed, and operated across the organization. As the platform expands, integrating Google Cloud Platform (GCP) and Google Workspaces into a cohesive, governed, and automated ecosystem is critical to enabling secure collaboration, scalable infrastructure, and consistent developer experiences. As a Senior Google Platform Engineer, you will design and implement the platform capabilities that unify identity, collaboration, and cloud infrastructure across GCP and Workspace technologies, like Analytics, Firebase, Maps, and Play. You will ensure these services are not managed as isolated tools, but as integrated components of a standardized, self-service platform. This role operates at the platform architecture and implementation layer, translating identity, access, collaboration, and infrastructure requirements into automated, scalable, and secure platform patterns. Success in this role means teams can provision, collaborate, and operate across Google services using consistent, automated workflows, without manual setup or fragmented configurations. What You'll Do Design GCP Platform Foundations Architect and implement GCP project, folder, and organization structures aligned with platform standards Implement Google managed accounts for GCP project, folder, and organization structures aligned with platform standards Define and enforce identity and access patterns using IAM, service accounts, and federation Build automated workflows for project provisioning, lifecycle management, and decommissioning Ensure GCP environments are created through standardized, auditable, and repeatable processes Integrate Google Workspace into the Platform Design and automate Google Workspace identity, group, and access models Integrate Workspace with cloud identity systems (e.g., Azure AD / Entra ID, SSO, federation) Standardize provisioning and lifecycle of: Users and groups Shared drives and collaboration resources Access controls aligned to platform guardrails Ensure Workspace usage aligns with security, compliance, and governance standards Enable Identity-Centric Platform Architecture Build and enforce identity-first platform patterns across GCP, Workspace, and other cloud systems Automate role-based access, group management, and policy enforcement Ensure consistent identity propagation across: Infrastructure CI/CD systems Observability platforms Reduce reliance on manual access management and exception handling Automate Platform Workflows & Guardrails Implement Infrastructure-as-Code (IaC) and automation for GCP and Workspace integrations Encode platform guardrails using policy frameworks and automation tools Ensure provisioning, access, and configuration changes occur through approved, observable workflows Reduce manual intervention by expanding automation coverage Integrate Cross-Platform Capabilities Ensure GCP and Workspace integrate seamlessly with: CI/CD platforms (e.g., GitLab) Infrastructure tools (e.g., Terraform Cloud) Observability platforms (e.g., Datadog) Enable consistent patterns across multi-cloud and multi-tool environments Drive Platform Adoption & Consistency Partner with engineering teams to identify friction in platform usage Improve usability through standard patterns, templates, and documentation Ensure platform capabilities are easier to adopt than custom solutions Guide teams toward platform-first usage models What You'll Bring Experience & Expertise 5-8+ years of experience in cloud, platform, or infrastructure engineering Hands-on experience with Google Cloud Platform (GCP) architecture and services Experience with Google Workspace administration and integration Strong understanding of: Identity and access management (IAM, SSO, federation) Cloud organization and resource hierarchy design Network and security fundamentals Platform & Automation Experience building automated, reusable platform capabilities Proficiency with Infrastructure-as-Code (Terraform, etc.) Strong scripting and automation skills Experience integrating identity and access controls into automated workflows Cross-Platform Integration Experience integrating GCP with: Enterprise identity providers (e.g., Azure AD / Entra ID) CI/CD and developer tooling ecosystems Understanding of multi-cloud and hybrid platform architectures Ability to lead technical design and influence platform standards Experience mentoring engineers and reviewing platform designs Strong communication skills across engineering, security, and leadership teams Pay Range: $80.00 - $90.00 per hour, depending upon experience. Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.

Full Stack Developer React + FastAPI 10+ Years Experience 10+ years of full stack engineering experience across frontend and backend systems Expert-level proficiency in React and Next.js - SSR, SSG, and App Router Hands-on with TanStack libraries (Query, Router, Table, Form) and deep knowledge of State Management solutions (Redux Toolkit, Zustand) Proficient in Node.js for building APIs, services, and BFF patterns Strong proficiency in FastAPI - async REST APIs, dependency injection, Pydantic models, middleware, and OpenAPI docs Strong experience with Authentication - OAuth2, JWT, API keys, SSO, MFA, and role-based access control across full stack Solid understanding of relational databases (PostgreSQL, MySQL) - schema design, indexing, and query optimization Experience designing scalable microservices and RESTful API architecture Familiar with message queues and async processing - Kafka Proven ability to optimize application performance across Core Web Vitals and API response strategies (rate limiting, pagination, caching) Experience architecting scalable, high-traffic front-end systems and micro-frontend patterns Strong knowledge of containerization - Docker, Docker Compose, Kubernetes, and cloud platforms (AWS / GCP / Azure) Familiarity with monorepo tooling (Turborepo, Nx) and CI/CD pipelines Proficient in writing unit and integration tests - Pytest, Jest, Playwright with strong CI/CD integration

Job Title Senior Software Engineer - Java Spring Boot & Google Cloud (GCP) Overview We are seeking an experienced Senior Software Engineer to design, develop, test, and maintain scalable software applications throughout the software development lifecycle. This role involves building high-quality backend services, collaborating with cross-functional teams, and delivering secure, reliable, and maintainable software solutions. This is a hybrid position requiring 4 days per week onsite. Key Responsibilities Design, develop, test, and maintain software applications throughout the software development lifecycle. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Design software architecture, determine appropriate technology stacks, and define deployment strategies. Develop backend applications, APIs, and microservices using Java and Spring Boot. Create high-level software architecture and application designs. Collaborate with product owners, architects, designers, and cross-functional teams. Define and implement software testing strategies and best practices. Apply Test Driven Development (TDD), Continuous Integration (CI), and Continuous Delivery (CD) practices. Improve application performance and optimize development efficiency. Support software security through secure coding practices, encryption, and data protection. Develop user-friendly and interactive software interfaces where applicable. Evaluate and adopt emerging technologies to improve engineering capabilities. Apply AI-assisted and agentic AI tools to accelerate code generation, improve code reviews, automate development workflows, and support spec-driven development. Identify opportunities to improve engineering productivity through responsible AI adoption. Ensure AI-assisted code is secure, reliable, maintainable, and aligned with engineering standards. Required Qualifications Bachelor's Degree. 10+ years of IT experience. 8+ years of software development experience. Strong backend development experience using Java and Spring Boot. Experience with Google Cloud Platform (GCP), including services such as Cloud Functions, Pub/Sub, and PostgreSQL. Experience with Test Driven Development (TDD). Practical experience in two programming languages or advanced expertise in one programming language. Proven experience using AI-assisted and agentic AI software engineering practices. Familiarity with spec-driven development. Strong understanding of secure coding, software design, and engineering best practices. Ability to evaluate AI-generated code for correctness, security, and maintainability. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Position Title: Staff Data Scientist Description: Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI

Job Title Platform Engineering Engineer Overview We are seeking a Platform Engineering Engineer to develop and maintain reusable software components that support engineering teams and improve developer productivity. This role focuses on designing, implementing, integrating, and maintaining platform infrastructure and software solutions that enable scalable, secure, and automated application development. Key Responsibilities Design platform infrastructure and tools in collaboration with enterprise architects and software engineering teams. Implement and manage infrastructure supporting platform tools, including upgrades, security patches, and performance improvements. Evaluate cloud platforms, containerization technologies, and infrastructure configurations to create reusable solutions for application teams. Develop and maintain Infrastructure as Code (IaC) and utilize CI/CD processes to automate infrastructure provisioning, configuration, and management. Implement monitoring, performance optimization, and scalability best practices using QoS and SLA metrics. Incorporate security, identity management, access control, encryption, logging, backup, and disaster recovery into platform infrastructure. Integrate enterprise-managed software configurations into deployment pipelines to ensure adherence to approved security, networking, monitoring, and performance standards. Gather feedback from developers and service providers to continuously improve the platform. Required Qualifications Bachelor's degree. 6+ years of IT experience. 4+ years of software development experience. Practical experience in two programming languages or advanced proficiency in one programming language. Experience with PostgreSQL. Experience with cloud infrastructure. Experience using Jenkins. Experience with Java. Preferred Qualifications Experience with Google Cloud Platform (GCP). Experience with GCP Cloud Run. Experience with BigQuery. Experience with Python. Experience with GCP services including BigQuery, Cloud Run, IAM, Dataflow, Pub/Sub, and Cloud Build. Ability to work onsite four days per week. HTC internal submittal checklist for Ford Motor Company: RTR is mandatory. The last four digits of the candidate's social security number are required; month and day of birth (mm/dd) are required. Create a social security number to be used for B2B submittals by using the following format. Note: Create this number only once; use this ss number for all submittals for this candidate moving forward. Please use the format of 5MMDDDATE to submit your bid. The 5 will be the generic number always submitted when a candidate does not have an SSN. MM = 2 Digit month of birth date DD = 2 Digit day of birth date Date = the month and day the candidate is submitted to the order Example 5 01 = Month of January 01 = January 1st - bid submitted April 7 Please ensure the candidate summary doesn't exceed 1500 characters including the space. If the candidate has previous Ford experience, ask who their Ford Manager or Supervisor was. In the "Summary" part of their resume, state: "Ford Motor Company experience; reported to _" Resume Formatting: Do NOT mention "HTC" in the resume's header/footer/title. In the header, underneath the candidate's name and title, put work preference. For example, "Local Candidate", "Non-local, willing to relocate", or "100% Remote". Ensure there are valid explanations for any gaps in employment, even as small as a month, e.g., "Seeking Employment", "Attending College", etc. Refer to the sample resume attached for any doubts. If Hacker Rank information is required for the submittal, the candidate's picture must be at the very top of the resume (above their name/title). Full Hacker Rank results must be attached below the resume. See attached sample resume. VMS Fee: When calculating gross profit (GP), include a discount rebate fee of 2.25%. LinkedIn: LI link in the candidate's profile is mandatory for each submission. (attached DRF, Ford Sample resume for more details) Verified, accepting resumes