Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/08/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Title: Public Cloud Security Architect Location: New York City, NY Type: Contract -Onsite Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills Minimum experience: 10 years System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/08/2026
Full time
Job Description Job Description Job Title: Public Cloud Security Architect Location: New York City, NY Type: Contract -Onsite Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills Minimum experience: 10 years System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Title: Cloud Security Architect Location: Princeton, NJ(Hybrid) Type: Contract Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks for cloud security Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills On-site work commitment System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/08/2026
Full time
Job Description Job Description Job Title: Cloud Security Architect Location: Princeton, NJ(Hybrid) Type: Contract Responsibilities: Lead architecture and implementation of Palo Alto Strata Cloud Manager (SCM) Design secure cloud network architectures across AWS/Azure/GCP Define standards, best practices, and security frameworks for cloud security Oversee integration of Palo Alto services into enterprise cloud environments Provide technical leadership and guidance to engineering teams Collaborate with stakeholders to align security architecture with business goals Requirements: Strong experience with Palo Alto Networks (SCM implementation required) Proven experience in cloud security architecture (AWS/Azure/GCP) Deep understanding of network security, firewalls, and cloud integrations Experience leading design and architecture decisions Excellent stakeholder communication and leadership skills On-site work commitment System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/08/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
11/08/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/08/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/08/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Title: Palo Alto Firewall Engineer Location: Springfield, VA Type: Contract To Hire Compensation: $80/hr. W2 Benefits available Conversion Salary: $150,000 annually plus benefits Work Model: Onsite Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph Responsibilities Lead the design, requirements analysis, testing, integration, and implementation of secure network architectures centered on the Palo Alto Networks ecosystem. Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto Networks Next-Generation Firewalls (NGFWs) across a hybrid enterprise environment. Engineer and implement solutions for customer Change Requests (CRQs); assess impacts on enterprise transport and security activities and provide technically sound recommendations. Serve as the technical representative for assigned projects and coordinate issues with the appropriate owners, organizations, contract leadership, and customer leadership. Manage the full lifecycle of Palo Alto hardware and software, including complex hardware refreshes, PAN-OS upgrades, legacy-platform sustainment, physical troubleshooting, and line-card replacements. Develop, oversee, and maintain configuration-management processes, network architecture diagrams, technical documentation, integration and test plans, and Standard Operating Procedures (SOPs) for Palo Alto security platforms. Use Panorama for centralized policy management, including templates, device groups, inheritance, and consistent configuration across a diverse fleet of physical and virtual firewalls. Configure and maintain advanced security capabilities and profiles, including App-ID, User-ID, Content-ID, SSL Decryption, WildFire, NAT, IPSec VPNs, and threat prevention. Oversee security-incident reporting, documentation, investigation, and corrective-action development. Act as a liaison to contract/customer management and the government Designated Approving Authority (DAA) regarding network-security status, policies, procedures, and risks. Evaluate and report on new and emerging network-security and communications technologies to improve network capacity, performance, reliability, standardization, and security. Provide mentorship and technical oversight to junior engineers and serve as an escalation point for complex troubleshooting. Follow all customer network-security processes and procedures, maintain compliance with Government and QA standards, and ensure service-performance indicators are met or exceeded. Requirements Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph. A minimum of 7+ years of hands-on experience administering, configuring, and troubleshooting Palo Alto Networks NGFWs in large-scale enterprise/global environments. Active Palo Alto Networks Certified Network Security Engineer (PCNSE) certification. DoD 8140.01 and DoD 8570.01-M IAT Level II compliance (for example, Security+ CE). Ability to obtain and maintain a CSSP Infrastructure Support certification within 120 days of the start date. Deep practical knowledge of legacy Gen 2/Gen 3 Palo Alto hardware, including PA-3000 and PA-5000 series platforms, legacy CLI, hardware troubleshooting, and line-card replacements. Experience deploying and managing modern PAN-OS architectures, including Prisma Access (SASE), Prisma SD-WAN, and VM-Series virtual firewalls in cloud environments such as AWS, Azure, GCP, or private-cloud. Proven expertise with Panorama for centralized policy management, template/device-group inheritance, and configuration deployment across a hybrid firewall fleet. Advanced understanding of BGP, OSPF, IPSec VPNs, NAT, TLS/SSL, mutual TLS (mTLS), HTTP, SAML, OAuth, OCSP revocation, DoD PKI, Kerberos, LDAP, and Active Directory. Experience with F5 technologies, including APM, AFM, and SSL Orchestrator (SSLO), and troubleshooting TLS/SSL handshake/connection issues. Strong network design, engineering, implementation, and troubleshooting skills, including ROM equipment lists and cost estimates. Knowledge of DISA and Intelligence Community security standards and requirements. Excellent interpersonal skills and technical judgment with the ability to work independently and support weekend/evening work if needed. Bachelor's degree in IT, Cybersecurity, Computer Science, or a related field, with additional relevant experience considered in lieu of a degree. Desired Qualifications Active Palo Alto Networks Certified Network Security Consultant (PCNSC) or Prisma Certified SASE Professional (PCSAE). F5 Networks Certified Technology Specialist (CTS). Cisco CCNP, CCVP, CCNA, CCDP, or equivalent. ITIL v3 Foundations and/or ISC2 CISSP Certification. Proficiency in Python and automation tools such as Ansible, Terraform, or Palo Alto XML/REST APIs. Hands-on experience with Cortex XDR or Cortex XSOAR. Experience with Palo Alto Networks Expedition for migration and rule consolidation. Knowledge of Zero Trust Network Access (ZTNA) architectures and additional security platforms (e.g., Juniper SRX, Cisco FTD/ASA). Master's degree in related fields is a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Baltimore
11/08/2026
Full time
Job Description Job Description Job Title: Palo Alto Firewall Engineer Location: Springfield, VA Type: Contract To Hire Compensation: $80/hr. W2 Benefits available Conversion Salary: $150,000 annually plus benefits Work Model: Onsite Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph Responsibilities Lead the design, requirements analysis, testing, integration, and implementation of secure network architectures centered on the Palo Alto Networks ecosystem. Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto Networks Next-Generation Firewalls (NGFWs) across a hybrid enterprise environment. Engineer and implement solutions for customer Change Requests (CRQs); assess impacts on enterprise transport and security activities and provide technically sound recommendations. Serve as the technical representative for assigned projects and coordinate issues with the appropriate owners, organizations, contract leadership, and customer leadership. Manage the full lifecycle of Palo Alto hardware and software, including complex hardware refreshes, PAN-OS upgrades, legacy-platform sustainment, physical troubleshooting, and line-card replacements. Develop, oversee, and maintain configuration-management processes, network architecture diagrams, technical documentation, integration and test plans, and Standard Operating Procedures (SOPs) for Palo Alto security platforms. Use Panorama for centralized policy management, including templates, device groups, inheritance, and consistent configuration across a diverse fleet of physical and virtual firewalls. Configure and maintain advanced security capabilities and profiles, including App-ID, User-ID, Content-ID, SSL Decryption, WildFire, NAT, IPSec VPNs, and threat prevention. Oversee security-incident reporting, documentation, investigation, and corrective-action development. Act as a liaison to contract/customer management and the government Designated Approving Authority (DAA) regarding network-security status, policies, procedures, and risks. Evaluate and report on new and emerging network-security and communications technologies to improve network capacity, performance, reliability, standardization, and security. Provide mentorship and technical oversight to junior engineers and serve as an escalation point for complex troubleshooting. Follow all customer network-security processes and procedures, maintain compliance with Government and QA standards, and ensure service-performance indicators are met or exceeded. Requirements Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph. A minimum of 7+ years of hands-on experience administering, configuring, and troubleshooting Palo Alto Networks NGFWs in large-scale enterprise/global environments. Active Palo Alto Networks Certified Network Security Engineer (PCNSE) certification. DoD 8140.01 and DoD 8570.01-M IAT Level II compliance (for example, Security+ CE). Ability to obtain and maintain a CSSP Infrastructure Support certification within 120 days of the start date. Deep practical knowledge of legacy Gen 2/Gen 3 Palo Alto hardware, including PA-3000 and PA-5000 series platforms, legacy CLI, hardware troubleshooting, and line-card replacements. Experience deploying and managing modern PAN-OS architectures, including Prisma Access (SASE), Prisma SD-WAN, and VM-Series virtual firewalls in cloud environments such as AWS, Azure, GCP, or private-cloud. Proven expertise with Panorama for centralized policy management, template/device-group inheritance, and configuration deployment across a hybrid firewall fleet. Advanced understanding of BGP, OSPF, IPSec VPNs, NAT, TLS/SSL, mutual TLS (mTLS), HTTP, SAML, OAuth, OCSP revocation, DoD PKI, Kerberos, LDAP, and Active Directory. Experience with F5 technologies, including APM, AFM, and SSL Orchestrator (SSLO), and troubleshooting TLS/SSL handshake/connection issues. Strong network design, engineering, implementation, and troubleshooting skills, including ROM equipment lists and cost estimates. Knowledge of DISA and Intelligence Community security standards and requirements. Excellent interpersonal skills and technical judgment with the ability to work independently and support weekend/evening work if needed. Bachelor's degree in IT, Cybersecurity, Computer Science, or a related field, with additional relevant experience considered in lieu of a degree. Desired Qualifications Active Palo Alto Networks Certified Network Security Consultant (PCNSC) or Prisma Certified SASE Professional (PCSAE). F5 Networks Certified Technology Specialist (CTS). Cisco CCNP, CCVP, CCNA, CCDP, or equivalent. ITIL v3 Foundations and/or ISC2 CISSP Certification. Proficiency in Python and automation tools such as Ansible, Terraform, or Palo Alto XML/REST APIs. Hands-on experience with Cortex XDR or Cortex XSOAR. Experience with Palo Alto Networks Expedition for migration and rule consolidation. Knowledge of Zero Trust Network Access (ZTNA) architectures and additional security platforms (e.g., Juniper SRX, Cisco FTD/ASA). Master's degree in related fields is a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Baltimore
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/08/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Provide a short description of the Position: The agency has a number of clinics, hospitals and outpatient facilities. The candidate will be responsible for managing projects related to updating and/or implementing new systems, software, and hardware. Provide a list of the day-to-day tasks to be performed by the Selected Candidate: Daily Tasks include but not limited to the following: Use project management tools, such as Microsoft Word, Excel, Project and Visio to allocate assignments, track project status and determine time estimates. Use project management methodology and documentation to manage the project. Plan and facilitiate all required project and technical meetings including demonstrations of application development progress. Provide regular status reports detailing project metrics, progress, and mitigation strategies underway to address concerns. Partner with Business Analyst to ensure the business requirements are elicited from Business owners and key stakeholders. Ensure requirements are communicated, documented, addressed and if approved, included in future project plans. Coordinate the development of test plans and testing with the Project Technical Lead. Act as facilitator and primary project manager for multiple projects related to the OMH Business efforts; including projects related to implementation of applications or infrastructure changes. Report status of current tasks and outstanding issues to supervisor. Adherre to all NYS Project Management directives and processes. Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
11/08/2026
Full time
Job Description Job Description Provide a short description of the Position: The agency has a number of clinics, hospitals and outpatient facilities. The candidate will be responsible for managing projects related to updating and/or implementing new systems, software, and hardware. Provide a list of the day-to-day tasks to be performed by the Selected Candidate: Daily Tasks include but not limited to the following: Use project management tools, such as Microsoft Word, Excel, Project and Visio to allocate assignments, track project status and determine time estimates. Use project management methodology and documentation to manage the project. Plan and facilitiate all required project and technical meetings including demonstrations of application development progress. Provide regular status reports detailing project metrics, progress, and mitigation strategies underway to address concerns. Partner with Business Analyst to ensure the business requirements are elicited from Business owners and key stakeholders. Ensure requirements are communicated, documented, addressed and if approved, included in future project plans. Coordinate the development of test plans and testing with the Project Technical Lead. Act as facilitator and primary project manager for multiple projects related to the OMH Business efforts; including projects related to implementation of applications or infrastructure changes. Report status of current tasks and outstanding issues to supervisor. Adherre to all NYS Project Management directives and processes. Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Job Description Generative AI Engineer TechTrend is looking for a hands-on AI Engineer to join our Rapid Innovation Team-a collaborative group focused on designing, prototyping, and delivering innovative AI solutions for enterprise and U.S. Government customers. This is an opportunity to work with emerging AI technologies and turn ideas into practical solutions. You'll collaborate with experienced cloud, software, and AI engineers to build Generative AI applications, intelligent automation, AI assistants, and machine learning solutions that address real-world customer challenges. The ideal candidate is a strong software engineer with practical experience building AI/ML or Generative AI solutions and a passion for learning new technologies. Important : U.S. citizenship is required due to federal customer requirements. This position is based in Reston, VA and follows a hybrid schedule with three days per week in the office. Candidates must be able to pass a background investigation and obtain/maintain any required government clearance or public trust, if applicable. RESPONSIBILITIES Design and develop AI and Generative AI solutions using Python and cloud-based AI services. Build prototypes and proof-of-concepts that demonstrate how emerging AI technologies can solve customer and business problems. Develop applications using LLMs, Retrieval-Augmented Generation (RAG), embeddings, vector databases, prompt engineering, and AI orchestration frameworks. Build AI-powered assistants, copilots, workflow automation, and decision-support applications. Develop APIs and integrate AI capabilities into existing enterprise applications and workflows. Work with Google Cloud Platform (GCP) and services such as Vertex AI, Gemini, BigQuery, and Document AI. Build and deploy AI applications using Docker and cloud-native technologies, with exposure to Kubernetes/GKE. Develop data pipelines and supporting services required to move AI solutions from prototype to production. Implement software engineering best practices including version control, automated testing, CI/CD, and infrastructure automation. Collaborate with software engineers, cloud architects, product owners, and business stakeholders to translate customer needs into practical AI solutions. Evaluate emerging AI technologies, frameworks, and models and recommend approaches that can improve customer solutions. Contribute to responsible, secure, and scalable AI solutions appropriate for mission-critical and government environments. Share knowledge and contribute to AI engineering standards and best practices across the team. TECHNOLOGIES YOU WILL WORK WITH Python Google Cloud Platform (GCP) Vertex AI and Gemini Generative AI and LLMs Retrieval-Augmented Generation (RAG) Embeddings and vector databases REST APIs Git and CI/CD Docker Additional Technologies Depending on the project, you may also work with: LangChain and/or LangGraph BigQuery and BigQuery ML Document AI Kubernetes/GKE TensorFlow, PyTorch, or scikit-learn Azure OpenAI and Azure AI Services Infrastructure as Code AI agents and conversational AI Emerging AI orchestration frameworks You do not need to be an expert in every technology listed above. We are looking for strong engineering fundamentals, practical AI experience, and the ability to learn and apply new technologies quickly. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field. 5+ years of professional software engineering or related technical experience. 2+ years of hands-on experience developing AI/ML or Generative AI solutions. Strong Python development skills. Experience building applications using LLMs, Generative AI, RAG, embeddings, or related AI technologies. Experience developing and integrating REST APIs or similar application interfaces. Experience deploying applications to a cloud environment, preferably GCP. Familiarity with software development practices including Git, testing, CI/CD, and containerization. Ability to work effectively with both technical and non-technical stakeholders. Strong problem-solving skills and the ability to learn new AI technologies quickly. Demonstrated ability to take an AI concept or prototype and contribute to turning it into a working application. Preferred Qualifications Experience with Google Cloud Vertex AI, Gemini, or other GCP AI services. Experience with LangChain, LangGraph, or similar AI orchestration frameworks. Experience with vector databases and RAG architectures. Experience with Docker and Kubernetes/GKE. Experience with Azure OpenAI or Azure AI Services. Experience developing AI agents, copilots, or conversational applications. Familiarity with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with BigQuery, Document AI, or cloud-based data pipelines. Experience supporting U.S. Government or federal customers. Existing security clearance or public trust. Google Cloud certification such as Professional Machine Learning Engineer or Professional Cloud Architect. Familiarity with AI governance, responsible AI, or AI security. Work Details Location: Hybrid (Reston, VA) Travel: Minimal (10% or less) Employment Type: Full-Time About TechTrend Founded in 2003, TechTrend is an award-winning technology consulting firm delivering cloud, AI, cybersecurity, digital transformation, and enterprise IT solutions to federal and commercial customers. We help organizations solve complex challenges by combining technical excellence with a culture of innovation, collaboration, and continuous learning.
11/08/2026
Full time
Job Description Generative AI Engineer TechTrend is looking for a hands-on AI Engineer to join our Rapid Innovation Team-a collaborative group focused on designing, prototyping, and delivering innovative AI solutions for enterprise and U.S. Government customers. This is an opportunity to work with emerging AI technologies and turn ideas into practical solutions. You'll collaborate with experienced cloud, software, and AI engineers to build Generative AI applications, intelligent automation, AI assistants, and machine learning solutions that address real-world customer challenges. The ideal candidate is a strong software engineer with practical experience building AI/ML or Generative AI solutions and a passion for learning new technologies. Important : U.S. citizenship is required due to federal customer requirements. This position is based in Reston, VA and follows a hybrid schedule with three days per week in the office. Candidates must be able to pass a background investigation and obtain/maintain any required government clearance or public trust, if applicable. RESPONSIBILITIES Design and develop AI and Generative AI solutions using Python and cloud-based AI services. Build prototypes and proof-of-concepts that demonstrate how emerging AI technologies can solve customer and business problems. Develop applications using LLMs, Retrieval-Augmented Generation (RAG), embeddings, vector databases, prompt engineering, and AI orchestration frameworks. Build AI-powered assistants, copilots, workflow automation, and decision-support applications. Develop APIs and integrate AI capabilities into existing enterprise applications and workflows. Work with Google Cloud Platform (GCP) and services such as Vertex AI, Gemini, BigQuery, and Document AI. Build and deploy AI applications using Docker and cloud-native technologies, with exposure to Kubernetes/GKE. Develop data pipelines and supporting services required to move AI solutions from prototype to production. Implement software engineering best practices including version control, automated testing, CI/CD, and infrastructure automation. Collaborate with software engineers, cloud architects, product owners, and business stakeholders to translate customer needs into practical AI solutions. Evaluate emerging AI technologies, frameworks, and models and recommend approaches that can improve customer solutions. Contribute to responsible, secure, and scalable AI solutions appropriate for mission-critical and government environments. Share knowledge and contribute to AI engineering standards and best practices across the team. TECHNOLOGIES YOU WILL WORK WITH Python Google Cloud Platform (GCP) Vertex AI and Gemini Generative AI and LLMs Retrieval-Augmented Generation (RAG) Embeddings and vector databases REST APIs Git and CI/CD Docker Additional Technologies Depending on the project, you may also work with: LangChain and/or LangGraph BigQuery and BigQuery ML Document AI Kubernetes/GKE TensorFlow, PyTorch, or scikit-learn Azure OpenAI and Azure AI Services Infrastructure as Code AI agents and conversational AI Emerging AI orchestration frameworks You do not need to be an expert in every technology listed above. We are looking for strong engineering fundamentals, practical AI experience, and the ability to learn and apply new technologies quickly. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field. 5+ years of professional software engineering or related technical experience. 2+ years of hands-on experience developing AI/ML or Generative AI solutions. Strong Python development skills. Experience building applications using LLMs, Generative AI, RAG, embeddings, or related AI technologies. Experience developing and integrating REST APIs or similar application interfaces. Experience deploying applications to a cloud environment, preferably GCP. Familiarity with software development practices including Git, testing, CI/CD, and containerization. Ability to work effectively with both technical and non-technical stakeholders. Strong problem-solving skills and the ability to learn new AI technologies quickly. Demonstrated ability to take an AI concept or prototype and contribute to turning it into a working application. Preferred Qualifications Experience with Google Cloud Vertex AI, Gemini, or other GCP AI services. Experience with LangChain, LangGraph, or similar AI orchestration frameworks. Experience with vector databases and RAG architectures. Experience with Docker and Kubernetes/GKE. Experience with Azure OpenAI or Azure AI Services. Experience developing AI agents, copilots, or conversational applications. Familiarity with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow. Experience with BigQuery, Document AI, or cloud-based data pipelines. Experience supporting U.S. Government or federal customers. Existing security clearance or public trust. Google Cloud certification such as Professional Machine Learning Engineer or Professional Cloud Architect. Familiarity with AI governance, responsible AI, or AI security. Work Details Location: Hybrid (Reston, VA) Travel: Minimal (10% or less) Employment Type: Full-Time About TechTrend Founded in 2003, TechTrend is an award-winning technology consulting firm delivering cloud, AI, cybersecurity, digital transformation, and enterprise IT solutions to federal and commercial customers. We help organizations solve complex challenges by combining technical excellence with a culture of innovation, collaboration, and continuous learning.
Job Description We're looking for a Senior Cloud Solutions Architect / Cloud Engineer with deep expertise in Oracle Cloud Infrastructure (OCI) to design and support secure, scalable, and reliable cloud and hybrid-cloud environments. The ideal candidate will have strong cloud architecture, infrastructure, networking, automation, and security experience, along with practical knowledge of AI technologies and enterprise database platforms. Key Responsibilities Design and implement secure, scalable OCI cloud architectures, standards, and governance models. Translate business and technical requirements into multi-cloud and hybrid-cloud solutions. Support cloud infrastructure configuration, patching, networking, backups, monitoring, and alerts. Design and support cloud networking, high availability, disaster recovery, and migration initiatives. Implement Infrastructure as Code and automation using Terraform, Ansible, and API/CLI tools. Apply Cloud DevOps, monitoring, observability, and Site Reliability Engineering (SRE) practices. Support cloud security, compliance, and cost optimization initiatives. Work with Oracle database technologies, including RAC, ASM, Data Guard, GoldenGate, RMAN, and related Oracle platforms. Evaluate and apply AI technologies available on cloud platforms and on-premises infrastructure. Contribute to architecture documentation, technical standards, and platform planning. Required Qualifications 6+ years of Oracle Cloud Infrastructure (OCI) experience. 4-6 years of hybrid infrastructure experience. 4-6 years of cloud networking experience. 4-6 years of Cloud DevOps and automation experience. 2-3 years of cloud security experience. 1-2 years of practical AI technology experience. Strong understanding of cloud architecture, governance, and enterprise infrastructure. Experience with Infrastructure as Code, particularly Terraform and Ansible. Knowledge of high availability, disaster recovery, cloud migration, monitoring, and observability. Ability to design secure multi-cloud and hybrid-cloud solutions. Strong troubleshooting, analytical, and technical communication skills. Preferred Qualifications Current OCI Architect Professional or Architect Associate certification . Experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience with Oracle RAC, ASM, Data Guard, GoldenGate, RMAN, Exadata, ExaCC, ExaDB-D, Exascale, DBaaS, or OEM. Knowledge of Cloud FinOps and cloud cost optimization. Experience with architecture documentation tools such as Visio or Abacus. Linux or network administration experience. Important: Deep OCI proficiency is mandatory. Candidates must also be available for the required hybrid schedule of 3 days onsite and 2 days remote.
11/08/2026
Full time
Job Description We're looking for a Senior Cloud Solutions Architect / Cloud Engineer with deep expertise in Oracle Cloud Infrastructure (OCI) to design and support secure, scalable, and reliable cloud and hybrid-cloud environments. The ideal candidate will have strong cloud architecture, infrastructure, networking, automation, and security experience, along with practical knowledge of AI technologies and enterprise database platforms. Key Responsibilities Design and implement secure, scalable OCI cloud architectures, standards, and governance models. Translate business and technical requirements into multi-cloud and hybrid-cloud solutions. Support cloud infrastructure configuration, patching, networking, backups, monitoring, and alerts. Design and support cloud networking, high availability, disaster recovery, and migration initiatives. Implement Infrastructure as Code and automation using Terraform, Ansible, and API/CLI tools. Apply Cloud DevOps, monitoring, observability, and Site Reliability Engineering (SRE) practices. Support cloud security, compliance, and cost optimization initiatives. Work with Oracle database technologies, including RAC, ASM, Data Guard, GoldenGate, RMAN, and related Oracle platforms. Evaluate and apply AI technologies available on cloud platforms and on-premises infrastructure. Contribute to architecture documentation, technical standards, and platform planning. Required Qualifications 6+ years of Oracle Cloud Infrastructure (OCI) experience. 4-6 years of hybrid infrastructure experience. 4-6 years of cloud networking experience. 4-6 years of Cloud DevOps and automation experience. 2-3 years of cloud security experience. 1-2 years of practical AI technology experience. Strong understanding of cloud architecture, governance, and enterprise infrastructure. Experience with Infrastructure as Code, particularly Terraform and Ansible. Knowledge of high availability, disaster recovery, cloud migration, monitoring, and observability. Ability to design secure multi-cloud and hybrid-cloud solutions. Strong troubleshooting, analytical, and technical communication skills. Preferred Qualifications Current OCI Architect Professional or Architect Associate certification . Experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience with Oracle RAC, ASM, Data Guard, GoldenGate, RMAN, Exadata, ExaCC, ExaDB-D, Exascale, DBaaS, or OEM. Knowledge of Cloud FinOps and cloud cost optimization. Experience with architecture documentation tools such as Visio or Abacus. Linux or network administration experience. Important: Deep OCI proficiency is mandatory. Candidates must also be available for the required hybrid schedule of 3 days onsite and 2 days remote.
Job Description Pay Comments: W2, Benefits and 401k matching Minimum Pay (per hour): 88.00/hr Maximum Pay (per hour): 93.00/hr Hours: Full-time Duration: 1 year assignment Note: This is a remote role but must work EST hours. The Personalization (PZN) team makes deciding what to play next easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. The SeshGen product area builds and runs the systems behind generative and interactive listening experiences, including AI DJ, AI Playlist and personalized sessions. SeshGen owns over 1,000 backend services, and many of them are stable and in maintenance mode. We are building a dedicated contractor team to own the operation and maintenance of these services, so our product squads can focus on new features. What You'll Do Be part of the SeshGen goalie rotation for maintenance-mode services: respond to and triage PagerDuty alerts, apply fixes (restarts, rollbacks, scaling) and escalate to the owning squad when needed Keep services up to date: dependency updates and security patches on a quarterly cycle, and infrastructure upgrades such as Kubernetes version bumps and GCP migrations Reduce alert noise: tune thresholds, fix auto-resolving alerts, set up alert grouping, and turn off alerts that are not actionable Identify unused services and decommission them safely using Backstage tooling Write and maintain runbooks and service documentation for every service in scope Keep the service catalog accurate: component ownership, reliability tiers and PagerDuty routing Work closely with SeshGen engineers and engineering managers through handovers, rotation chapter meetings and alert reviews Reduce tech debt and complexity if needed Who You Are You have experience operating distributed, high-volume backend services in production, and you know how to deploy them and keep them running You are comfortable triaging incidents on systems you did not build, using runbooks, dashboards and logs You have hands-on experience with Java backend services; experience with Kubernetes and cloud providers (such as GCP) is preferred You have experience with monitoring and alerting tools such as PagerDuty, Grafana and Prometheus/PromQL You write clear documentation and enjoy leaving systems better than you found them You are comfortable using AI coding tools to speed up maintenance and migration work You communicate clearly and work well asynchronously with distributed teams The target hiring compensation range for this role is $88/hr to $93/hr. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. About Skill: Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts. Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
11/08/2026
Full time
Job Description Pay Comments: W2, Benefits and 401k matching Minimum Pay (per hour): 88.00/hr Maximum Pay (per hour): 93.00/hr Hours: Full-time Duration: 1 year assignment Note: This is a remote role but must work EST hours. The Personalization (PZN) team makes deciding what to play next easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. The SeshGen product area builds and runs the systems behind generative and interactive listening experiences, including AI DJ, AI Playlist and personalized sessions. SeshGen owns over 1,000 backend services, and many of them are stable and in maintenance mode. We are building a dedicated contractor team to own the operation and maintenance of these services, so our product squads can focus on new features. What You'll Do Be part of the SeshGen goalie rotation for maintenance-mode services: respond to and triage PagerDuty alerts, apply fixes (restarts, rollbacks, scaling) and escalate to the owning squad when needed Keep services up to date: dependency updates and security patches on a quarterly cycle, and infrastructure upgrades such as Kubernetes version bumps and GCP migrations Reduce alert noise: tune thresholds, fix auto-resolving alerts, set up alert grouping, and turn off alerts that are not actionable Identify unused services and decommission them safely using Backstage tooling Write and maintain runbooks and service documentation for every service in scope Keep the service catalog accurate: component ownership, reliability tiers and PagerDuty routing Work closely with SeshGen engineers and engineering managers through handovers, rotation chapter meetings and alert reviews Reduce tech debt and complexity if needed Who You Are You have experience operating distributed, high-volume backend services in production, and you know how to deploy them and keep them running You are comfortable triaging incidents on systems you did not build, using runbooks, dashboards and logs You have hands-on experience with Java backend services; experience with Kubernetes and cloud providers (such as GCP) is preferred You have experience with monitoring and alerting tools such as PagerDuty, Grafana and Prometheus/PromQL You write clear documentation and enjoy leaving systems better than you found them You are comfortable using AI coding tools to speed up maintenance and migration work You communicate clearly and work well asynchronously with distributed teams The target hiring compensation range for this role is $88/hr to $93/hr. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. About Skill: Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts. Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
Job Description oXya is an independent provider of cloud and managed services, specializing in SAP technical services and cloud solutions. We support midsize and global enterprises in increasing the efficiency, stability, and flexibility of their mission-critical IT systems. Our dedicated teams of experts operate as an extension of our clients' IT organizations, delivering hands-on technical expertise and long-term partnership. As an independent advisor, we help clients select the most appropriate technical solutions for their business needs - and manage those solutions end-to-end. oXya runs SAP and related systems across a variety of environments, including private cloud, AWS, Microsoft Azure, and Google Cloud, ensuring secure, reliable, and high-performing operations. About the Role As part of our continued growth, we are expanding our capabilities in SAP data modernization and multi-cloud integration. We are looking for an SAP Data Integration Engineer to design, build, and support reliable data integration solutions between SAP systems and modern cloud data platforms. This role sits at the intersection of SAP technology, enterprise data engineering, and cloud architecture. The successful candidate will help clients unlock SAP data for analytics, BI, AI/ML, reporting, and operational use cases while ensuring secure, scalable, and well-governed data flows. KEY RESPONSIBILITIES SAP Data Integration Design, build, and operate data pipelines connecting SAP systems with cloud and enterprise data platforms. Work with SAP integration and replication technologies such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP BTP connectivity services, and related SAP data tools. Analyze SAP source systems, including ECC, S/4HANA, BW, ODP, CDS views, ABAP tables, and core business data structures. Implement secure connectivity patterns using tools and approaches such as SAP Cloud Connector, Private Link, VPN, and cloud-native networking. Monitor, troubleshoot, and optimize end-to-end data flows across SAP, cloud, and BI/analytics layers. Enterprise Data Engineering Design, develop, and optimize data models and pipelines on modern cloud data platforms such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent technologies. Use modern data engineering tools and frameworks such as dbt, Dataform, Airflow, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar platforms where appropriate. Apply best practices for performance, cost optimization, reliability, automation, and maintainability. Support CI/CD and version control practices for data pipelines and integration artifacts. PROJECT/CHANGE MANAGEMENT Architecture, Governance, and Documentation Contribute to integration architecture across SAP and non-SAP systems, including batch, CDC, streaming, API-based, and event-driven integration patterns. Define practical ingestion, transformation, and replication strategies aligned with client requirements and operational constraints. Document technical designs, data flows, lineage, operational procedures, and support handover materials. Promote sound data governance, data quality, security, and compliance practices when handling client data. Delivery Support planning, technical decision-making, risk identification, and delivery execution in project-based and managed services environments. Take ownership of technical topics from design through support, with attention to supportability and operational readiness. COMMUNICATION/PRESENCE Work closely with SAP Basis, functional teams, cloud architects, BI teams, security teams, project managers, and client stakeholders, including distributed teams. Operate effectively in client-facing environments, translating business requirements into practical technical solutions. Serve as a trusted technical advisor to clients, helping stakeholders understand SAP data structures, integration options, governance considerations, and modernization roadmaps. Actively contribute to pre-sales, solutioning, and client workshops by helping define integration architectures, estimate delivery effort, identify risks, and present technical recommendations to clients and prospects. Support workshops, solution reviews, technical handovers, and knowledge-sharing sessions. Mentor and guide team members on SAP data integration, cloud data engineering, and modern integration patterns, strengthening internal expertise and delivery consistency across projects. REQUIRED SKILLS AND TECHNICAL EXPERIENCE Hands-on experience with at least one SAP data integration or replication technology, such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP Data Intelligence, or equivalent SAP integration tooling. Strong understanding of SAP source systems and data structures, especially ECC and/or S/4HANA. Strong SQL skills and practical experience with at least one modern cloud data platform, such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent. Experience designing, building, supporting, or troubleshooting data pipelines in enterprise environments. Understanding of APIs, REST/SOAP services, event-based integration, message queues, or enterprise integration patterns. Understanding of governance, security, lineage, and compliance considerations for enterprise data. Ability to document technical solutions clearly and communicate effectively with both technical and business stakeholders. Strong analytical mindset, problem-solving skills, ownership, and ability to work across multiple clients and priorities. Curious, adaptable, and willing to learn across SAP, cloud, and data engineering technologies; structured and quality-focused, with strong attention to documentation. PREFERRED QUALIFICATIONS 2-3 years of hands-on experience with cloud data engineering or modern data platform delivery. Experience with orchestration, transformation, or ingestion tools such as Airflow, dbt, Dataform, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar technologies. Knowledge of Python for data transformation, automation, scripting, or pipeline support. Experience with SAP BTP, SAP Cloud Connector, hybrid connectivity, private networking, or cloud security patterns. Familiarity with ODP, CDS views, ABAP debugging, and SAP functional data areas such as FI/CO, MM, or SD. Experience in industries such as manufacturing, retail, financial services, or other SAP-intensive sectors. Awareness of emerging SAP data modernization solutions, including SAP Business Data Cloud, SAP Datasphere evolution, and the SAP-Databricks partnership, with an interest in helping clients leverage these technologies for advanced analytics and AI initiatives. SAP certification in SAP Datasphere, SAP Integration Suite, SAP BTP, or related SAP technology. Cloud or data platform certification in GCP (Professional Data Engineer), Microsoft Azure (Azure Data Engineer Associate), AWS, Snowflake, Databricks, or equivalent. EDUCATION/EXPERIENCE REQUIREMENTS Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field preferred. Equivalent professional experience in SAP, data integration, or cloud data engineering will also be considered. 7+ years of experience in SAP technical, SAP integration, data integration, or enterprise data roles. Proven experience delivering SAP-to-cloud or SAP-to-enterprise data integration solutions. Practical experience supporting production-grade data pipelines, including monitoring, troubleshooting, and performance optimization. Experience working in consulting, managed services, or complex multi-client enterprise environments is preferred. Why Join Us Work on Mission-Critical SAP Environments: Gain hands-on experience with complex enterprise systems that support global business operations. Bridge SAP and Modern Cloud Data Platforms: Help clients modernize how they access, move, govern, and use SAP data. Collaborate with Experienced Experts: Work alongside skilled SAP, cloud, data, and infrastructure professionals who value knowledge sharing and continuous improvement. Grow Your Career: Develop high-demand expertise across SAP integration, data engineering, cloud platforms, and enterprise architecture. Shape Next-Generation SAP Data Platforms: Work with emerging technologies such as SAP Business Data Cloud, SAP Datasphere, cloud-native analytics platforms, and AI-ready data architectures. All qualified applicants will receive consideration for employment without regard to race, color, religion, place of origin, ethnic origin, national origin, ancestry, age, sex, sexual orientation, gender identity, transgender status, genetic information, mental or physical disability, marital status, pregnancy, veteran status, or any other characteristic protected by applicable national, state, or local law.
11/08/2026
Full time
Job Description oXya is an independent provider of cloud and managed services, specializing in SAP technical services and cloud solutions. We support midsize and global enterprises in increasing the efficiency, stability, and flexibility of their mission-critical IT systems. Our dedicated teams of experts operate as an extension of our clients' IT organizations, delivering hands-on technical expertise and long-term partnership. As an independent advisor, we help clients select the most appropriate technical solutions for their business needs - and manage those solutions end-to-end. oXya runs SAP and related systems across a variety of environments, including private cloud, AWS, Microsoft Azure, and Google Cloud, ensuring secure, reliable, and high-performing operations. About the Role As part of our continued growth, we are expanding our capabilities in SAP data modernization and multi-cloud integration. We are looking for an SAP Data Integration Engineer to design, build, and support reliable data integration solutions between SAP systems and modern cloud data platforms. This role sits at the intersection of SAP technology, enterprise data engineering, and cloud architecture. The successful candidate will help clients unlock SAP data for analytics, BI, AI/ML, reporting, and operational use cases while ensuring secure, scalable, and well-governed data flows. KEY RESPONSIBILITIES SAP Data Integration Design, build, and operate data pipelines connecting SAP systems with cloud and enterprise data platforms. Work with SAP integration and replication technologies such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP BTP connectivity services, and related SAP data tools. Analyze SAP source systems, including ECC, S/4HANA, BW, ODP, CDS views, ABAP tables, and core business data structures. Implement secure connectivity patterns using tools and approaches such as SAP Cloud Connector, Private Link, VPN, and cloud-native networking. Monitor, troubleshoot, and optimize end-to-end data flows across SAP, cloud, and BI/analytics layers. Enterprise Data Engineering Design, develop, and optimize data models and pipelines on modern cloud data platforms such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent technologies. Use modern data engineering tools and frameworks such as dbt, Dataform, Airflow, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar platforms where appropriate. Apply best practices for performance, cost optimization, reliability, automation, and maintainability. Support CI/CD and version control practices for data pipelines and integration artifacts. PROJECT/CHANGE MANAGEMENT Architecture, Governance, and Documentation Contribute to integration architecture across SAP and non-SAP systems, including batch, CDC, streaming, API-based, and event-driven integration patterns. Define practical ingestion, transformation, and replication strategies aligned with client requirements and operational constraints. Document technical designs, data flows, lineage, operational procedures, and support handover materials. Promote sound data governance, data quality, security, and compliance practices when handling client data. Delivery Support planning, technical decision-making, risk identification, and delivery execution in project-based and managed services environments. Take ownership of technical topics from design through support, with attention to supportability and operational readiness. COMMUNICATION/PRESENCE Work closely with SAP Basis, functional teams, cloud architects, BI teams, security teams, project managers, and client stakeholders, including distributed teams. Operate effectively in client-facing environments, translating business requirements into practical technical solutions. Serve as a trusted technical advisor to clients, helping stakeholders understand SAP data structures, integration options, governance considerations, and modernization roadmaps. Actively contribute to pre-sales, solutioning, and client workshops by helping define integration architectures, estimate delivery effort, identify risks, and present technical recommendations to clients and prospects. Support workshops, solution reviews, technical handovers, and knowledge-sharing sessions. Mentor and guide team members on SAP data integration, cloud data engineering, and modern integration patterns, strengthening internal expertise and delivery consistency across projects. REQUIRED SKILLS AND TECHNICAL EXPERIENCE Hands-on experience with at least one SAP data integration or replication technology, such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP Data Intelligence, or equivalent SAP integration tooling. Strong understanding of SAP source systems and data structures, especially ECC and/or S/4HANA. Strong SQL skills and practical experience with at least one modern cloud data platform, such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent. Experience designing, building, supporting, or troubleshooting data pipelines in enterprise environments. Understanding of APIs, REST/SOAP services, event-based integration, message queues, or enterprise integration patterns. Understanding of governance, security, lineage, and compliance considerations for enterprise data. Ability to document technical solutions clearly and communicate effectively with both technical and business stakeholders. Strong analytical mindset, problem-solving skills, ownership, and ability to work across multiple clients and priorities. Curious, adaptable, and willing to learn across SAP, cloud, and data engineering technologies; structured and quality-focused, with strong attention to documentation. PREFERRED QUALIFICATIONS 2-3 years of hands-on experience with cloud data engineering or modern data platform delivery. Experience with orchestration, transformation, or ingestion tools such as Airflow, dbt, Dataform, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar technologies. Knowledge of Python for data transformation, automation, scripting, or pipeline support. Experience with SAP BTP, SAP Cloud Connector, hybrid connectivity, private networking, or cloud security patterns. Familiarity with ODP, CDS views, ABAP debugging, and SAP functional data areas such as FI/CO, MM, or SD. Experience in industries such as manufacturing, retail, financial services, or other SAP-intensive sectors. Awareness of emerging SAP data modernization solutions, including SAP Business Data Cloud, SAP Datasphere evolution, and the SAP-Databricks partnership, with an interest in helping clients leverage these technologies for advanced analytics and AI initiatives. SAP certification in SAP Datasphere, SAP Integration Suite, SAP BTP, or related SAP technology. Cloud or data platform certification in GCP (Professional Data Engineer), Microsoft Azure (Azure Data Engineer Associate), AWS, Snowflake, Databricks, or equivalent. EDUCATION/EXPERIENCE REQUIREMENTS Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field preferred. Equivalent professional experience in SAP, data integration, or cloud data engineering will also be considered. 7+ years of experience in SAP technical, SAP integration, data integration, or enterprise data roles. Proven experience delivering SAP-to-cloud or SAP-to-enterprise data integration solutions. Practical experience supporting production-grade data pipelines, including monitoring, troubleshooting, and performance optimization. Experience working in consulting, managed services, or complex multi-client enterprise environments is preferred. Why Join Us Work on Mission-Critical SAP Environments: Gain hands-on experience with complex enterprise systems that support global business operations. Bridge SAP and Modern Cloud Data Platforms: Help clients modernize how they access, move, govern, and use SAP data. Collaborate with Experienced Experts: Work alongside skilled SAP, cloud, data, and infrastructure professionals who value knowledge sharing and continuous improvement. Grow Your Career: Develop high-demand expertise across SAP integration, data engineering, cloud platforms, and enterprise architecture. Shape Next-Generation SAP Data Platforms: Work with emerging technologies such as SAP Business Data Cloud, SAP Datasphere, cloud-native analytics platforms, and AI-ready data architectures. All qualified applicants will receive consideration for employment without regard to race, color, religion, place of origin, ethnic origin, national origin, ancestry, age, sex, sexual orientation, gender identity, transgender status, genetic information, mental or physical disability, marital status, pregnancy, veteran status, or any other characteristic protected by applicable national, state, or local law.
ConsultNet Technology Services and Solutions
Rockville, Maryland
Job Description Title: Principal IT Infrastructure Engineer Location: Rockville, MD (hybrid preferred, open to remote for exceptional candidates) Target Start Date: ASAP Type: Direct-hire Salary / Pay Rate: DOE Why Work Here This is an established life sciences technology company that is actively investing in the modernization of its core infrastructure. You would serve as the senior technical authority for compute and identity, setting architectural direction and leading a major hypervisor migration from strategy through execution. The work spans virtualization, containers, identity, and hybrid cloud, so there is plenty of room to shape the platform and keep growing your skills. You would also mentor other infrastructure engineers and partner directly with IT leadership on strategy. It is a stable, regulated environment that values well designed, well documented systems. About the Role The Principal IT Infrastructure Engineer is the senior technical authority for the organization's core compute and identity infrastructure, covering virtualization, containerization, identity and access management, directory services, and cloud productivity platforms. This role sets architectural direction, resolves the most complex escalations, and makes sure infrastructure is designed, deployed, and maintained in a controlled, auditable way that aligns with GxP and 21 CFR Part 11 expectations. A major focus is leading the technical strategy and execution of a VMware to Nutanix migration. The position mentors other infrastructure engineers and reports to the Director of IT. Occasional off-hours or on-call support may be needed for planned maintenance, migrations, or incident response. Responsibilities Own the architecture, design, and hands-on engineering of the enterprise virtualization platform, including compute, storage, and networking, across VMware vSphere/ESXi and Nutanix AOS/AHV (Prism Central/Prism Element). Lead the technical strategy and execution of the VMware to Nutanix migration, covering workload assessment, dependency mapping, target architecture, migration planning, VM conversion, and post-migration validation. Design, build, and support enterprise containerization and orchestration platforms (such as Docker, Kubernetes, and AWS ECS), including cluster architecture, image and registry standards, and integration with the underlying virtualization and cloud infrastructure. Work with storage teams to design, implement, and maintain storage integration for virtualized and containerized workloads (such as Pure Storage or comparable SAN/NAS platforms). Deploy, configure, and support Windows and Linux server operating systems across virtualized, containerized, and physical infrastructure. Design and support the identity and access services behind the platform, including Active Directory, ADFS, and IDAM/SSO integrations for infrastructure and applications. Create and maintain architecture documentation, SOPs, capacity plans, and runbooks for the virtualization and containerization environments. Build automation and infrastructure as code (such as PowerCLI, Python, Ansible, and Terraform) to streamline provisioning, configuration, and operational tasks across virtual and containerized environments. Collaborate with network, security, storage, and application teams to design resilient, secure solutions, including backup, disaster recovery, and certificate/PKI management for applications. Lead technology evaluations, proofs of concept, and vendor discussions around virtualization, containerization, HCI, and cloud platforms, and make recommendations to IT leadership. Act as the senior escalation point for complex, multi-layered issues spanning hypervisor, container, storage, network, and guest OS. Mentor and provide technical leadership to other systems and infrastructure engineers, raising the team's virtualization and containerization expertise. Work with IT leadership and other departments on infrastructure strategy and projects, along with other duties as assigned. Required Skills Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent work experience. 8+ years of hands-on experience engineering and administering enterprise virtualization and/or containerization platforms, with proven experience at a senior or principal technical level. Expert-level production experience with VMware vSphere/ESXi/vCenter. Hands-on production experience with containerization and orchestration platforms (such as Docker, Kubernetes, and AWS ECS). Experience architecting and supporting hybrid on-premises and cloud infrastructure (AWS, Azure, or GCP). Expert-level knowledge of VMware virtualization technologies (vSphere, ESXi, vCenter, vSAN) and the compute, storage, and networking concepts behind them. Expert-level or strong working knowledge of Nutanix (AOS, AHV, Prism), including cluster administration, storage (AHV/ADSF), and migration tooling, or comparable HCI experience with a proven ability to build deep Nutanix expertise. Good working understanding of containerization and orchestration technologies such as Docker, Kubernetes, and AWS ECS, and how they interact with a virtualization platform. Experience designing and supporting hybrid infrastructure across on-premises data centers and AWS. Experience with enterprise storage platforms and general SAN/NAS familiarity. Solid knowledge of Windows and Linux server operating systems, including deploying, configuring, and supporting them on virtualized and physical platforms. Working knowledge of identity and directory services, including Active Directory, ADFS, IDAM/SSO, DNS, and DHCP. Knowledge of certificate-based authentication and encryption, including issuing, deploying, and managing PKI/TLS certificates for applications and infrastructure. Knowledge of backup technologies and procedures, including backup and recovery design, testing, and retention for virtualized and containerized workloads. Working knowledge of networking fundamentals (VLANs, routing, load balancing, firewalls) as they apply to virtualized and hybrid environments. Scripting and automation experience (such as PowerCLI, Python, Bash, Ansible, and Terraform) to support provisioning and operational efficiency. Understanding of backup, disaster recovery, and business continuity practices for virtualized environments. Strong troubleshooting and problem-solving skills across compute, storage, network, and hypervisor layers. Able to occasionally lift and move equipment up to 25 pounds in a data center environment. Bonus / Soft Skills Experience with Nutanix (AOS/AHV/Prism) or comparable HCI platforms, or direct experience leading a VMware to Nutanix (or similar hyperconverged) migration, strongly preferred. VMware NSX experience. Hands-on Pure Storage experience. Relevant certifications such as VCP/VCAP, Nutanix NCP/NCA, CKA, or AWS/Azure/GCP certifications (a plus, not required). Works well independently and collaboratively, mentors other engineers, and explains technical concepts clearly to technical and non-technical stakeholders. Strong verbal and written communication, including documenting architecture and procedures. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
11/08/2026
Full time
Job Description Title: Principal IT Infrastructure Engineer Location: Rockville, MD (hybrid preferred, open to remote for exceptional candidates) Target Start Date: ASAP Type: Direct-hire Salary / Pay Rate: DOE Why Work Here This is an established life sciences technology company that is actively investing in the modernization of its core infrastructure. You would serve as the senior technical authority for compute and identity, setting architectural direction and leading a major hypervisor migration from strategy through execution. The work spans virtualization, containers, identity, and hybrid cloud, so there is plenty of room to shape the platform and keep growing your skills. You would also mentor other infrastructure engineers and partner directly with IT leadership on strategy. It is a stable, regulated environment that values well designed, well documented systems. About the Role The Principal IT Infrastructure Engineer is the senior technical authority for the organization's core compute and identity infrastructure, covering virtualization, containerization, identity and access management, directory services, and cloud productivity platforms. This role sets architectural direction, resolves the most complex escalations, and makes sure infrastructure is designed, deployed, and maintained in a controlled, auditable way that aligns with GxP and 21 CFR Part 11 expectations. A major focus is leading the technical strategy and execution of a VMware to Nutanix migration. The position mentors other infrastructure engineers and reports to the Director of IT. Occasional off-hours or on-call support may be needed for planned maintenance, migrations, or incident response. Responsibilities Own the architecture, design, and hands-on engineering of the enterprise virtualization platform, including compute, storage, and networking, across VMware vSphere/ESXi and Nutanix AOS/AHV (Prism Central/Prism Element). Lead the technical strategy and execution of the VMware to Nutanix migration, covering workload assessment, dependency mapping, target architecture, migration planning, VM conversion, and post-migration validation. Design, build, and support enterprise containerization and orchestration platforms (such as Docker, Kubernetes, and AWS ECS), including cluster architecture, image and registry standards, and integration with the underlying virtualization and cloud infrastructure. Work with storage teams to design, implement, and maintain storage integration for virtualized and containerized workloads (such as Pure Storage or comparable SAN/NAS platforms). Deploy, configure, and support Windows and Linux server operating systems across virtualized, containerized, and physical infrastructure. Design and support the identity and access services behind the platform, including Active Directory, ADFS, and IDAM/SSO integrations for infrastructure and applications. Create and maintain architecture documentation, SOPs, capacity plans, and runbooks for the virtualization and containerization environments. Build automation and infrastructure as code (such as PowerCLI, Python, Ansible, and Terraform) to streamline provisioning, configuration, and operational tasks across virtual and containerized environments. Collaborate with network, security, storage, and application teams to design resilient, secure solutions, including backup, disaster recovery, and certificate/PKI management for applications. Lead technology evaluations, proofs of concept, and vendor discussions around virtualization, containerization, HCI, and cloud platforms, and make recommendations to IT leadership. Act as the senior escalation point for complex, multi-layered issues spanning hypervisor, container, storage, network, and guest OS. Mentor and provide technical leadership to other systems and infrastructure engineers, raising the team's virtualization and containerization expertise. Work with IT leadership and other departments on infrastructure strategy and projects, along with other duties as assigned. Required Skills Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent work experience. 8+ years of hands-on experience engineering and administering enterprise virtualization and/or containerization platforms, with proven experience at a senior or principal technical level. Expert-level production experience with VMware vSphere/ESXi/vCenter. Hands-on production experience with containerization and orchestration platforms (such as Docker, Kubernetes, and AWS ECS). Experience architecting and supporting hybrid on-premises and cloud infrastructure (AWS, Azure, or GCP). Expert-level knowledge of VMware virtualization technologies (vSphere, ESXi, vCenter, vSAN) and the compute, storage, and networking concepts behind them. Expert-level or strong working knowledge of Nutanix (AOS, AHV, Prism), including cluster administration, storage (AHV/ADSF), and migration tooling, or comparable HCI experience with a proven ability to build deep Nutanix expertise. Good working understanding of containerization and orchestration technologies such as Docker, Kubernetes, and AWS ECS, and how they interact with a virtualization platform. Experience designing and supporting hybrid infrastructure across on-premises data centers and AWS. Experience with enterprise storage platforms and general SAN/NAS familiarity. Solid knowledge of Windows and Linux server operating systems, including deploying, configuring, and supporting them on virtualized and physical platforms. Working knowledge of identity and directory services, including Active Directory, ADFS, IDAM/SSO, DNS, and DHCP. Knowledge of certificate-based authentication and encryption, including issuing, deploying, and managing PKI/TLS certificates for applications and infrastructure. Knowledge of backup technologies and procedures, including backup and recovery design, testing, and retention for virtualized and containerized workloads. Working knowledge of networking fundamentals (VLANs, routing, load balancing, firewalls) as they apply to virtualized and hybrid environments. Scripting and automation experience (such as PowerCLI, Python, Bash, Ansible, and Terraform) to support provisioning and operational efficiency. Understanding of backup, disaster recovery, and business continuity practices for virtualized environments. Strong troubleshooting and problem-solving skills across compute, storage, network, and hypervisor layers. Able to occasionally lift and move equipment up to 25 pounds in a data center environment. Bonus / Soft Skills Experience with Nutanix (AOS/AHV/Prism) or comparable HCI platforms, or direct experience leading a VMware to Nutanix (or similar hyperconverged) migration, strongly preferred. VMware NSX experience. Hands-on Pure Storage experience. Relevant certifications such as VCP/VCAP, Nutanix NCP/NCA, CKA, or AWS/Azure/GCP certifications (a plus, not required). Works well independently and collaboratively, mentors other engineers, and explains technical concepts clearly to technical and non-technical stakeholders. Strong verbal and written communication, including documenting architecture and procedures. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
Job Description Title: Senior Data Engineer Location: Tampa, FL 33624 or Remote Employment Type: W2 Contract to Hire, 3+ Months Work Authorization: U.S. Citizen or Permanent Resident Sponsorship: Not available. No C2C arrangements. Job Description Talent Groups is seeking a Senior Data Engineer for a fully remote contract opportunity with a strong possibility of extension and potential conversion to full time employment. This role is ideal for a hands on engineer who can quickly take ownership of production data pipelines and deliver results with minimal oversight. The Senior Data Engineer will design, build, and optimize data infrastructure supporting marketing performance, revenue reporting, and business intelligence. The ideal candidate brings strong expertise in Python, SQL, dbt, BigQuery, and Google Cloud Platform (GCP), along with experience integrating third party data sources and maintaining business critical production systems. Key Responsibilities Design, develop, and optimize ETL and ELT pipelines that integrate revenue, advertising costs, and website activity into BigQuery. Build Python based data ingestion services using Cloud Run, Cloud Functions, and other GCP services. Develop and maintain dbt models supporting revenue reporting, lead tracking, marketing analytics, and business intelligence. Integrate third party data through REST APIs, SFTP, webhooks, and scheduled file feeds. Maintain marketing data integrations with Google Ads, Meta, Microsoft Ads, Funnel.io, and Google Search Console. Partner with Finance, Marketing, Analytics, and business stakeholders to support revenue reconciliation, executive reporting, and Looker dashboards. Monitor production pipelines, troubleshoot failures, resolve data discrepancies, and improve data quality. Implement secure data handling practices, including protection of personally identifiable information, credential management, and access controls. Improve infrastructure through automation, service consolidation, version control, and continuous integration and deployment enhancements. Maintain technical documentation and collaborate through JIRA and established development workflows. Required Qualifications Strong hands on Python development experience building data pipelines, ingestion services, and automation tools. Advanced SQL skills, including complex queries, data transformations, and performance optimization. Experience with BigQuery or comparable cloud data warehouse platforms. Hands on experience with dbt models, testing, documentation, and data transformations. Practical GCP experience with services such as Cloud Run, Cloud Functions, Cloud Scheduler, Pub/Sub, Secret Manager, and IAM. Proven experience building, maintaining, and troubleshooting production ETL and ELT pipelines. Experience integrating REST APIs, SFTP, webhooks, and third party data sources. Familiarity with Looker, Git, continuous integration and deployment tools, and JIRA. Strong understanding of data validation, deduplication, reconciliation, attribution, and production data reliability. Ability to work independently, troubleshoot complex issues, and deliver results with minimal supervision. Preferred Qualifications Experience with Google Ads APIs, Meta Conversions API, Microsoft Ads, or offline conversion tracking. Knowledge of performance marketing, lead generation, affiliate marketing, and conversion attribution. Experience with LookML, Funnel.io, or Google Search Console. Understanding of personally identifiable information protection, CCPA, GDPR, and privacy related data handling. Experience modernizing legacy data infrastructure and improving cloud deployment processes. Equal Opportunity Statement Talent Groups appreciates your interest in this opportunity. Only candidates selected for interviews will be contacted. Talent Groups is committed to equal opportunity employment.
11/08/2026
Full time
Job Description Title: Senior Data Engineer Location: Tampa, FL 33624 or Remote Employment Type: W2 Contract to Hire, 3+ Months Work Authorization: U.S. Citizen or Permanent Resident Sponsorship: Not available. No C2C arrangements. Job Description Talent Groups is seeking a Senior Data Engineer for a fully remote contract opportunity with a strong possibility of extension and potential conversion to full time employment. This role is ideal for a hands on engineer who can quickly take ownership of production data pipelines and deliver results with minimal oversight. The Senior Data Engineer will design, build, and optimize data infrastructure supporting marketing performance, revenue reporting, and business intelligence. The ideal candidate brings strong expertise in Python, SQL, dbt, BigQuery, and Google Cloud Platform (GCP), along with experience integrating third party data sources and maintaining business critical production systems. Key Responsibilities Design, develop, and optimize ETL and ELT pipelines that integrate revenue, advertising costs, and website activity into BigQuery. Build Python based data ingestion services using Cloud Run, Cloud Functions, and other GCP services. Develop and maintain dbt models supporting revenue reporting, lead tracking, marketing analytics, and business intelligence. Integrate third party data through REST APIs, SFTP, webhooks, and scheduled file feeds. Maintain marketing data integrations with Google Ads, Meta, Microsoft Ads, Funnel.io, and Google Search Console. Partner with Finance, Marketing, Analytics, and business stakeholders to support revenue reconciliation, executive reporting, and Looker dashboards. Monitor production pipelines, troubleshoot failures, resolve data discrepancies, and improve data quality. Implement secure data handling practices, including protection of personally identifiable information, credential management, and access controls. Improve infrastructure through automation, service consolidation, version control, and continuous integration and deployment enhancements. Maintain technical documentation and collaborate through JIRA and established development workflows. Required Qualifications Strong hands on Python development experience building data pipelines, ingestion services, and automation tools. Advanced SQL skills, including complex queries, data transformations, and performance optimization. Experience with BigQuery or comparable cloud data warehouse platforms. Hands on experience with dbt models, testing, documentation, and data transformations. Practical GCP experience with services such as Cloud Run, Cloud Functions, Cloud Scheduler, Pub/Sub, Secret Manager, and IAM. Proven experience building, maintaining, and troubleshooting production ETL and ELT pipelines. Experience integrating REST APIs, SFTP, webhooks, and third party data sources. Familiarity with Looker, Git, continuous integration and deployment tools, and JIRA. Strong understanding of data validation, deduplication, reconciliation, attribution, and production data reliability. Ability to work independently, troubleshoot complex issues, and deliver results with minimal supervision. Preferred Qualifications Experience with Google Ads APIs, Meta Conversions API, Microsoft Ads, or offline conversion tracking. Knowledge of performance marketing, lead generation, affiliate marketing, and conversion attribution. Experience with LookML, Funnel.io, or Google Search Console. Understanding of personally identifiable information protection, CCPA, GDPR, and privacy related data handling. Experience modernizing legacy data infrastructure and improving cloud deployment processes. Equal Opportunity Statement Talent Groups appreciates your interest in this opportunity. Only candidates selected for interviews will be contacted. Talent Groups is committed to equal opportunity employment.
Job Description Please contact Renu Goel local to NJ Inperson interview Top 5 must haves: Senior Level openshift must Python Airflow/DBT Communication, both written & Verbal Kubernetes the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. Given these requirements, we are looking for someone with deeper, practical experience in DBT and Airflow within Kubernetes-based, on-prem environments. If background is predominantly on GCP, and while this is valuable, we are currently more conservative with cloud-native platforms. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Contract Senior Data Engineer - Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ Hybrid: 3 days a week - MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. Job Summary: We are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments. Estimated Min Rate : $56.00 Estimated Max Rate : $80.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/08/2026
Full time
Job Description Please contact Renu Goel local to NJ Inperson interview Top 5 must haves: Senior Level openshift must Python Airflow/DBT Communication, both written & Verbal Kubernetes the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. Given these requirements, we are looking for someone with deeper, practical experience in DBT and Airflow within Kubernetes-based, on-prem environments. If background is predominantly on GCP, and while this is valuable, we are currently more conservative with cloud-native platforms. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Contract Senior Data Engineer - Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ Hybrid: 3 days a week - MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. Job Summary: We are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments. Estimated Min Rate : $56.00 Estimated Max Rate : $80.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
Job Description Job Description At VIDA, we're passionate about driving positive change in lung and respiratory care through thoughtful, innovative technology. We're committed to reshaping the way organizations and physicians approach pulmonary medicine with powerful artificial intelligence and image analysis. Our talented team works hard every day to design cutting-edge solutions that truly improve patients' lives around the world. We're a small, fast-growing company with big benefits and the kind of culture that makes you smile. All we're missing is YOU! If you're looking to make a difference and channel your expertise into meaningful work that's changing the world for the better, we want to hear from you. Role Overview VIDA is seeking a technical, systems-oriented Release Manager to lead and continuously improve how software changes move safely and efficiently from development into production across VIDA's cloud-based products and services. This role goes beyond scheduling releases or manually coordinating deployments. You own and improve the release operating model-the processes, automation, controls, telemetry, and cross-functional practices that enable engineering teams to release independently while protecting product quality, customer data, production reliability, security, and VIDA's regulatory and compliance obligations. Operating within a healthcare and life-sciences SaaS environment, this role partners closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Quality, Security, and Compliance to establish a modern, risk-based software delivery model. You will also be VIDA's voice on AI-enabled software delivery process, making sure the added velocity from AI-assisted engineering is supported by effective testing, review, traceability, security controls, observability, and production safeguards. Key Responsibilities Release Strategy and Delivery Governance Define and continuously improve VIDA's software release strategy, standards, governance model, and success measures. Evolve VIDA toward a continuous, automated, and risk-based delivery model that minimizes unnecessary manual coordination and approvals. Establish release classifications based on clinical and customer impact, data sensitivity, reversibility, and blast radius. Define proportionate controls for each level of release risk, including when changes can proceed automatically and when additional testing, review, progressive delivery, or approval is required. Establish practical emergency-change and exception processes that preserve accountability and traceability without slowing critical remediation. Use production incidents, near misses, audit findings, and delivery friction to drive continuous improvement. CI/CD, Progressive Delivery, and Production Safety Partner with Engineering, Architecture, and Cloud Operations on paved-road CI/CD - trunk-based development, small batch sizes, reusable workflows, and standard deployment patterns. Agile processes that infuse automated quality, security, compliance, and operational checks into the software delivery lifecycle. Ensure release evidence-including source traceability, peer review, testing, security validation, deployment history, approvals, and post-release results-is reliable, searchable, and audit-ready. Align the release model to support decoupling of deployment from release using feature flags, canary and staged rollouts, and blue/green deployments, so teams ship continuously while customer exposure stays under separate control. Establish measurable release-health criteria and effective pause, rollback, forward-fix, and feature-disablement practices. Work with engineering teams to ensure critical services have clear operational ownership, observability, rollback strategies, and incident-response paths. Strengthen software supply-chain controls - dependency and secrets management, artifact integrity, SBOMs, and infrastructure-as-code validation. AI-Assisted Software Engineering Help define and operationalize VIDA's standards and guardrails for responsible AI-assisted software development. Ensure AI-assisted and AI-generated code remains subject to appropriate human ownership, peer review, testing, security validation, architecture standards, traceability, and production-readiness requirements through established processes. Partner with Security, Privacy, Quality, and Compliance to establish processes that protect source code, credentials, PHI, PII, customer information, and other sensitive data when AI development tools are used. Measure the impact of AI-assisted engineering on development velocity, quality, security findings, change failure rates, rollback frequency, and production incidents. Help VIDA increase engineering productivity through AI without weakening quality, security, regulatory compliance, or accountability. Delivery Performance and Continuous Improvement Establish a balanced software-delivery scorecard covering velocity, quality, reliability, security, compliance, and customer impact. Track and improve the four DORA metrics - deployment frequency, lead time, change failure rate, and recovery time - alongside rollback rate, escaped defects, and pipeline reliability. Use delivery data to identify systemic constraints including unreliable tests, slow environments, excessive manual steps, ineffective approvals, and recurring sources of production failures. Provide engineering and executive leadership with clear visibility into software delivery health, release risk, AI-development adoption, and improvement opportunities. Lead improvement initiatives that reduce release friction while increasing engineering autonomy and production reliability. Cross-Functional Leadership Partner with Engineering leaders and technical leads to establish clear service ownership and accountability for production changes. Work with Product Management on feature rollout, customer communication, staged availability, and release readiness. Collaborate with Quality Engineering to strengthen automated testing, risk-based validation, and quality signals. Ensure software-delivery practices meet VIDA policies, customer obligations, and applicable regulatory requirements. Support customer assessments and audits by maintaining defensible release and change-management evidence. Run the release capability as a platform product - treat engineering teams as your customers, measure adoption, and never become a centralized release bottleneck. Required Qualifications 5+ years of experience in software engineering, DevOps, release engineering, SRE, platform engineering, quality engineering, or a related technical delivery discipline. 2+ years leading or materially improving release management, CI/CD, DevOps, or production-readiness practices in a SaaS or cloud environment. Strong understanding of processes behind CI/CD, Test Driven Development, and infrastructure as code. Experience with progressive delivery approaches including feature flags, staged rollouts, canary or blue/green deployment, health-based promotion, and rollback. Strong understanding of software delivery metrics, observability, incident response, and operational reliability. Demonstrated ability to design risk-based processes that improve engineering velocity while maintaining production safety. Strong systems thinking and organizational-change experience leveraging Agile delivery methodologies such as ScrumBan, Kanban, SAFe, etc. Ability to engage credibly with engineers on technical details that impact process, releases, and messaging to internal/external stakeholders. Preferred Qualifications Experience in healthcare, life sciences, medical software, clinical trials, or another regulated SaaS environment. Familiarity with frameworks or requirements such as SOC 2, ISO 27001, HIPAA, GDPR, FDA 21 CFR Part 11, GxP/GCP, NIST, or OWASP. Experience with AWS, containerized or serverless systems, infrastructure as code, and modern DevOps tooling. Experience building reusable CI/CD workflows, internal developer platforms, policy-as-code controls, or developer self-service capabilities. Familiarity with software supply-chain security, vulnerability management, SBOMs, artifact integrity, and secrets management. Experience using or governing AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Cursor, or similar technologies. Experience supporting enterprise customer security assessments, compliance reviews, or external audits. Reporting Relationship This role reports to the VP of Engineering and works closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Software Quality, Security, Privacy, Compliance, Customer Success, and Technical Support. Engineering teams and service owners retain accountability for the quality and operation of their services. The Release Manager provides the strategy, processes, standards, visibility, and oversight that enable those teams to deliver software safely and efficiently. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex . click apply for full job details
11/08/2026
Full time
Job Description Job Description At VIDA, we're passionate about driving positive change in lung and respiratory care through thoughtful, innovative technology. We're committed to reshaping the way organizations and physicians approach pulmonary medicine with powerful artificial intelligence and image analysis. Our talented team works hard every day to design cutting-edge solutions that truly improve patients' lives around the world. We're a small, fast-growing company with big benefits and the kind of culture that makes you smile. All we're missing is YOU! If you're looking to make a difference and channel your expertise into meaningful work that's changing the world for the better, we want to hear from you. Role Overview VIDA is seeking a technical, systems-oriented Release Manager to lead and continuously improve how software changes move safely and efficiently from development into production across VIDA's cloud-based products and services. This role goes beyond scheduling releases or manually coordinating deployments. You own and improve the release operating model-the processes, automation, controls, telemetry, and cross-functional practices that enable engineering teams to release independently while protecting product quality, customer data, production reliability, security, and VIDA's regulatory and compliance obligations. Operating within a healthcare and life-sciences SaaS environment, this role partners closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Quality, Security, and Compliance to establish a modern, risk-based software delivery model. You will also be VIDA's voice on AI-enabled software delivery process, making sure the added velocity from AI-assisted engineering is supported by effective testing, review, traceability, security controls, observability, and production safeguards. Key Responsibilities Release Strategy and Delivery Governance Define and continuously improve VIDA's software release strategy, standards, governance model, and success measures. Evolve VIDA toward a continuous, automated, and risk-based delivery model that minimizes unnecessary manual coordination and approvals. Establish release classifications based on clinical and customer impact, data sensitivity, reversibility, and blast radius. Define proportionate controls for each level of release risk, including when changes can proceed automatically and when additional testing, review, progressive delivery, or approval is required. Establish practical emergency-change and exception processes that preserve accountability and traceability without slowing critical remediation. Use production incidents, near misses, audit findings, and delivery friction to drive continuous improvement. CI/CD, Progressive Delivery, and Production Safety Partner with Engineering, Architecture, and Cloud Operations on paved-road CI/CD - trunk-based development, small batch sizes, reusable workflows, and standard deployment patterns. Agile processes that infuse automated quality, security, compliance, and operational checks into the software delivery lifecycle. Ensure release evidence-including source traceability, peer review, testing, security validation, deployment history, approvals, and post-release results-is reliable, searchable, and audit-ready. Align the release model to support decoupling of deployment from release using feature flags, canary and staged rollouts, and blue/green deployments, so teams ship continuously while customer exposure stays under separate control. Establish measurable release-health criteria and effective pause, rollback, forward-fix, and feature-disablement practices. Work with engineering teams to ensure critical services have clear operational ownership, observability, rollback strategies, and incident-response paths. Strengthen software supply-chain controls - dependency and secrets management, artifact integrity, SBOMs, and infrastructure-as-code validation. AI-Assisted Software Engineering Help define and operationalize VIDA's standards and guardrails for responsible AI-assisted software development. Ensure AI-assisted and AI-generated code remains subject to appropriate human ownership, peer review, testing, security validation, architecture standards, traceability, and production-readiness requirements through established processes. Partner with Security, Privacy, Quality, and Compliance to establish processes that protect source code, credentials, PHI, PII, customer information, and other sensitive data when AI development tools are used. Measure the impact of AI-assisted engineering on development velocity, quality, security findings, change failure rates, rollback frequency, and production incidents. Help VIDA increase engineering productivity through AI without weakening quality, security, regulatory compliance, or accountability. Delivery Performance and Continuous Improvement Establish a balanced software-delivery scorecard covering velocity, quality, reliability, security, compliance, and customer impact. Track and improve the four DORA metrics - deployment frequency, lead time, change failure rate, and recovery time - alongside rollback rate, escaped defects, and pipeline reliability. Use delivery data to identify systemic constraints including unreliable tests, slow environments, excessive manual steps, ineffective approvals, and recurring sources of production failures. Provide engineering and executive leadership with clear visibility into software delivery health, release risk, AI-development adoption, and improvement opportunities. Lead improvement initiatives that reduce release friction while increasing engineering autonomy and production reliability. Cross-Functional Leadership Partner with Engineering leaders and technical leads to establish clear service ownership and accountability for production changes. Work with Product Management on feature rollout, customer communication, staged availability, and release readiness. Collaborate with Quality Engineering to strengthen automated testing, risk-based validation, and quality signals. Ensure software-delivery practices meet VIDA policies, customer obligations, and applicable regulatory requirements. Support customer assessments and audits by maintaining defensible release and change-management evidence. Run the release capability as a platform product - treat engineering teams as your customers, measure adoption, and never become a centralized release bottleneck. Required Qualifications 5+ years of experience in software engineering, DevOps, release engineering, SRE, platform engineering, quality engineering, or a related technical delivery discipline. 2+ years leading or materially improving release management, CI/CD, DevOps, or production-readiness practices in a SaaS or cloud environment. Strong understanding of processes behind CI/CD, Test Driven Development, and infrastructure as code. Experience with progressive delivery approaches including feature flags, staged rollouts, canary or blue/green deployment, health-based promotion, and rollback. Strong understanding of software delivery metrics, observability, incident response, and operational reliability. Demonstrated ability to design risk-based processes that improve engineering velocity while maintaining production safety. Strong systems thinking and organizational-change experience leveraging Agile delivery methodologies such as ScrumBan, Kanban, SAFe, etc. Ability to engage credibly with engineers on technical details that impact process, releases, and messaging to internal/external stakeholders. Preferred Qualifications Experience in healthcare, life sciences, medical software, clinical trials, or another regulated SaaS environment. Familiarity with frameworks or requirements such as SOC 2, ISO 27001, HIPAA, GDPR, FDA 21 CFR Part 11, GxP/GCP, NIST, or OWASP. Experience with AWS, containerized or serverless systems, infrastructure as code, and modern DevOps tooling. Experience building reusable CI/CD workflows, internal developer platforms, policy-as-code controls, or developer self-service capabilities. Familiarity with software supply-chain security, vulnerability management, SBOMs, artifact integrity, and secrets management. Experience using or governing AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Cursor, or similar technologies. Experience supporting enterprise customer security assessments, compliance reviews, or external audits. Reporting Relationship This role reports to the VP of Engineering and works closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Software Quality, Security, Privacy, Compliance, Customer Success, and Technical Support. Engineering teams and service owners retain accountability for the quality and operation of their services. The Release Manager provides the strategy, processes, standards, visibility, and oversight that enable those teams to deliver software safely and efficiently. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex . click apply for full job details
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/08/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
11/08/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
