McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Role McKesson is seeking a Senior Information Security Analyst to strengthen our cloud security posture and reduce enterprise cyber risk. You will lead the triage, prioritization, remediation, and validation of cloud security findings identified through Wiz. In this role, you will partner with application, cloud platform, engineering, and infrastructure teams to resolve Critical and High-risk vulnerabilities, establish ownership for unknown cloud assets, and manage security exceptions. You will translate technical findings into clear remediation plans, operational metrics, and leadership reporting. This position is ideal for a cybersecurity professional experienced in cloud vulnerability management, exposure management, risk-based prioritization, and cross-functional remediation. The underlying P4 career-model description calls for advanced cybersecurity expertise, cross-functional collaboration, remediation leadership, technical documentation, and influence across enterprise security activities. What You'll Do Monitor and manage vulnerabilities, misconfigurations, attack paths, and other cloud security findings identified through Wiz. Triage and prioritize findings using severity, exploitability, exposure, business impact, asset criticality, and enterprise remediation standards. Drive remediation of Critical, High-risk, and overdue findings by establishing action plans with application, platform, engineering, and infrastructure owners. Investigate cloud assets without identified ownership, including virtual machines, containers, workloads, and serverless resources, and coordinate handoff to accountable teams. Review suppression, exemption, dismissal, and risk-acceptance requests; validate supporting evidence and maintain audit-ready disposition records. Validate vulnerability closure, facilitate root-cause investigations, identify recurring issues, and recommend strategic risk-reduction initiatives. Improve remediation workflows, ownership assignment, governance, reporting, and automation, including integrations involving Wiz, ServiceNow, Rapid7, and Panorama. Report on Mean Time to Remediate, Critical and High findings, overdue vulnerabilities, exception volumes, unknown assets, remediation trends, and risk-reduction outcomes. Basic Requirements 7+ years of progressive experience in cybersecurity engineering, cloud security, vulnerability management, exposure management, infrastructure security, or a closely related field. Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related discipline, or an equivalent combination of education and relevant experience. Demonstrated experience triaging, prioritizing, and driving remediation of cloud vulnerabilities or security findings. Hands-on experience using Wiz or a comparable cloud security, CNAPP, CSPM, or vulnerability-management platform. Experience applying risk-based prioritization using technical severity, exploitability, exposure, asset context, and business risk. Experience partnering with cloud, application, engineering, or infrastructure teams to coordinate security remediation within GCP, AWS, or Azure cloud architectures. Experience evaluating security findings in the context of cloud architecture, including vulnerability exceptions, risk acceptances, suppressions, and other dispositions, within GCP, AWS, or Azure. Experience developing security metrics, remediation reporting, and written documentation for technical and leadership audiences. Preferred Skills/Experience Experience with Wiz Vulnerability Management, Wiz Security Graph, cloud exposure analysis, or attack-path investigation. Familiarity with ServiceNow, Rapid7, or integrations supporting vulnerability tracking and remediation workflows. Knowledge of cloud workloads, virtual machines, containers, serverless technologies, and cloud asset inventories. Experience automating reporting, remediation tracking, asset ownership assignment, or security workflow processes. Understanding of vulnerability-management governance, remediation service-level expectations, exception management, and audit documentation. Experience facilitating remediation reviews, resolving ownership gaps, and escalating overdue security findings. Ability to translate technical risk into concise, actionable communication for engineering teams and leadership. Relevant certifications such as CISSP, CCSP, Security+, AWS Certified Security, Azure Security Engineer, or comparable credentials. Travel, Work Environment and Physical Requirements Work arrangement and in-office expectations will be based on the position's approved location and team requirements. Travel requirements, if any, will be specified in the final posting. Work primarily involves using standard computer and collaboration technology. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
11/09/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Role McKesson is seeking a Senior Information Security Analyst to strengthen our cloud security posture and reduce enterprise cyber risk. You will lead the triage, prioritization, remediation, and validation of cloud security findings identified through Wiz. In this role, you will partner with application, cloud platform, engineering, and infrastructure teams to resolve Critical and High-risk vulnerabilities, establish ownership for unknown cloud assets, and manage security exceptions. You will translate technical findings into clear remediation plans, operational metrics, and leadership reporting. This position is ideal for a cybersecurity professional experienced in cloud vulnerability management, exposure management, risk-based prioritization, and cross-functional remediation. The underlying P4 career-model description calls for advanced cybersecurity expertise, cross-functional collaboration, remediation leadership, technical documentation, and influence across enterprise security activities. What You'll Do Monitor and manage vulnerabilities, misconfigurations, attack paths, and other cloud security findings identified through Wiz. Triage and prioritize findings using severity, exploitability, exposure, business impact, asset criticality, and enterprise remediation standards. Drive remediation of Critical, High-risk, and overdue findings by establishing action plans with application, platform, engineering, and infrastructure owners. Investigate cloud assets without identified ownership, including virtual machines, containers, workloads, and serverless resources, and coordinate handoff to accountable teams. Review suppression, exemption, dismissal, and risk-acceptance requests; validate supporting evidence and maintain audit-ready disposition records. Validate vulnerability closure, facilitate root-cause investigations, identify recurring issues, and recommend strategic risk-reduction initiatives. Improve remediation workflows, ownership assignment, governance, reporting, and automation, including integrations involving Wiz, ServiceNow, Rapid7, and Panorama. Report on Mean Time to Remediate, Critical and High findings, overdue vulnerabilities, exception volumes, unknown assets, remediation trends, and risk-reduction outcomes. Basic Requirements 7+ years of progressive experience in cybersecurity engineering, cloud security, vulnerability management, exposure management, infrastructure security, or a closely related field. Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related discipline, or an equivalent combination of education and relevant experience. Demonstrated experience triaging, prioritizing, and driving remediation of cloud vulnerabilities or security findings. Hands-on experience using Wiz or a comparable cloud security, CNAPP, CSPM, or vulnerability-management platform. Experience applying risk-based prioritization using technical severity, exploitability, exposure, asset context, and business risk. Experience partnering with cloud, application, engineering, or infrastructure teams to coordinate security remediation within GCP, AWS, or Azure cloud architectures. Experience evaluating security findings in the context of cloud architecture, including vulnerability exceptions, risk acceptances, suppressions, and other dispositions, within GCP, AWS, or Azure. Experience developing security metrics, remediation reporting, and written documentation for technical and leadership audiences. Preferred Skills/Experience Experience with Wiz Vulnerability Management, Wiz Security Graph, cloud exposure analysis, or attack-path investigation. Familiarity with ServiceNow, Rapid7, or integrations supporting vulnerability tracking and remediation workflows. Knowledge of cloud workloads, virtual machines, containers, serverless technologies, and cloud asset inventories. Experience automating reporting, remediation tracking, asset ownership assignment, or security workflow processes. Understanding of vulnerability-management governance, remediation service-level expectations, exception management, and audit documentation. Experience facilitating remediation reviews, resolving ownership gaps, and escalating overdue security findings. Ability to translate technical risk into concise, actionable communication for engineering teams and leadership. Relevant certifications such as CISSP, CCSP, Security+, AWS Certified Security, Azure Security Engineer, or comparable credentials. Travel, Work Environment and Physical Requirements Work arrangement and in-office expectations will be based on the position's approved location and team requirements. Travel requirements, if any, will be specified in the final posting. Work primarily involves using standard computer and collaboration technology. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The McKesson Pentest Team is seeking a Penetration Testing Engineer to help support and scale McKesson's Continuous Adversarial Testing (CART) program and strengthen the security posture of our enterprise application ecosystem. This role provides technical support for offensive security programs, focusing on AI-enabled security testing, web application penetration testing, cloud security assessments, vulnerability validation, and adversarial testing across large-scale application portfolios. The individual in this role will partner with a pentest lead, engineering, product, cloud, and security teams to identify complex attack paths, validate threats, and drive remediation efforts that reduce business risk. The position will play a key role in executing autonomous security testing capabilities, integrating CART outputs into security operations, and advancing McKesson's offensive security assessments. This role will also help shape the future direction of AI-assisted security testing, automation, and modern offensive security methodologies across the enterprise. This is a hands-on technical role for someone who can support the development of a new security program while also performing advanced technical testing, validating AI-generated findings, solving operational challenges, and supporting the long-term direction of McKesson's offensive security capabilities. What You'll Do Work closely with a Lead Pentest Engineer to Implement McKesson's Continuous Adversarial Testing program across large application portfolios. Support and help shape the first iteration of the CART operating model. Execute and refine repeatable onboarding processes covering application context, test accounts, authentication, authorization roles, test data, rate limits, WAF coordination, exclusions, maintenance windows, and emergency stop procedures. Perform human-in-the-loop reviewing, reproducing, validating, prioritizing, and communicating findings generated by autonomous testing platforms. Support the execution of continuous AI assisted penetration tests across high-priority enterprise web applications, including application onboarding, test orchestration, execution oversight, findings validation, and remediation coordination. Implement integrations between CART platforms and vulnerability management, engineering, reporting, and remediation workflows. Conduct AI-enabled web application, API, and cloud security assessments across enterprise environments. Perform penetration testing, adversarial assessments, and vulnerability validation activities against internally developed and third-party applications. Evaluate emerging autonomous security testing capabilities and recommend changes to CART strategy, tooling, and service delivery. Contribute to program documentation including; playbooks, runbooks, technical standards, training materials. Leverage automation and AI-assisted security tooling to scale testing coverage and improve assessment efficiency. Identify and validate complex attack paths involving authentication weaknesses, authorization flaws, business logic vulnerabilities, and multi-stage exploitation scenarios. Evaluate REST APIs, GraphQL APIs, cloud-native architectures, and modern authentication technologies. Partner with engineering teams to explain findings, prioritize remediation efforts, and validate fixes through retesting. Develop and maintain testing methodologies, automation workflows, and security assessment procedures. Contribute to incident investigations, threat modeling activities, and continuous security improvement initiatives. Basic Requirements 4+ years of cybersecurity, application security, penetration testing, offensive security, or related experience. Bachelor's degree or equivalent combination of education and experience. Experience performing web application and API penetration testing. Experience validating security vulnerabilities, assessing exploitability, and distinguishing actionable findings from false positives. Experience assessing enterprise applications utilizing REST APIs, GraphQL APIs, authentication systems, and cloud-native technologies. Working knowledge of AWS, Azure, or Google Cloud Platform (GCP) security concepts. Experience documenting technical findings and communicating remediation guidance to engineering teams. Hands-on experience with Burp Suite Professional, Nuclei, Nmap, Metasploit, Postman, and Kali Linux tools. Preferred Skills/Experience Experience leveraging AI-assisted security tools and security automation platforms. Experience implementing, operating, or scaling continuous security testing, attack simulation, breach and attack simulation, or automated offensive security capabilities. Experience evaluating, validating, and triaging findings from automated or AI-assisted security testing platforms. Experience assessing AI-enabled applications, agent-based systems, LLM integrations, or AI security risks. Familiarity with DevSecOps, CI/CD security controls, and secure software development practices. Knowledge of OWASP Top 10, API Security Top 10, threat modeling, and secure design principles. Experience conducting red team, adversarial simulation, or attack path validation exercises. Knowledge of cloud security architecture and containerized environments. Experience performing cloud security assessments in AWS, Azure, and GCP environments. Experience creating custom security testing scripts and automation workflows. Experience developing proof-of-concept exploits and adversary emulation scenarios. Familiarity with security control validation and compliance frameworks. Experience mentoring engineers and contributing to security program maturity. Experience supporting regulated industries such as healthcare, finance, or other highly regulated environments. Relevant certifications such as OSCP, OSWE, OSWA, OSAI, HTB CWES, HTB CWEE, OSEP, GPEN, GWAPT or equivalent. Travel / Work Environment / Physical Requirements Limited travel may be required based on business needs. Hyrbid, two days a week in the office. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,900 - $173,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
11/09/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The McKesson Pentest Team is seeking a Penetration Testing Engineer to help support and scale McKesson's Continuous Adversarial Testing (CART) program and strengthen the security posture of our enterprise application ecosystem. This role provides technical support for offensive security programs, focusing on AI-enabled security testing, web application penetration testing, cloud security assessments, vulnerability validation, and adversarial testing across large-scale application portfolios. The individual in this role will partner with a pentest lead, engineering, product, cloud, and security teams to identify complex attack paths, validate threats, and drive remediation efforts that reduce business risk. The position will play a key role in executing autonomous security testing capabilities, integrating CART outputs into security operations, and advancing McKesson's offensive security assessments. This role will also help shape the future direction of AI-assisted security testing, automation, and modern offensive security methodologies across the enterprise. This is a hands-on technical role for someone who can support the development of a new security program while also performing advanced technical testing, validating AI-generated findings, solving operational challenges, and supporting the long-term direction of McKesson's offensive security capabilities. What You'll Do Work closely with a Lead Pentest Engineer to Implement McKesson's Continuous Adversarial Testing program across large application portfolios. Support and help shape the first iteration of the CART operating model. Execute and refine repeatable onboarding processes covering application context, test accounts, authentication, authorization roles, test data, rate limits, WAF coordination, exclusions, maintenance windows, and emergency stop procedures. Perform human-in-the-loop reviewing, reproducing, validating, prioritizing, and communicating findings generated by autonomous testing platforms. Support the execution of continuous AI assisted penetration tests across high-priority enterprise web applications, including application onboarding, test orchestration, execution oversight, findings validation, and remediation coordination. Implement integrations between CART platforms and vulnerability management, engineering, reporting, and remediation workflows. Conduct AI-enabled web application, API, and cloud security assessments across enterprise environments. Perform penetration testing, adversarial assessments, and vulnerability validation activities against internally developed and third-party applications. Evaluate emerging autonomous security testing capabilities and recommend changes to CART strategy, tooling, and service delivery. Contribute to program documentation including; playbooks, runbooks, technical standards, training materials. Leverage automation and AI-assisted security tooling to scale testing coverage and improve assessment efficiency. Identify and validate complex attack paths involving authentication weaknesses, authorization flaws, business logic vulnerabilities, and multi-stage exploitation scenarios. Evaluate REST APIs, GraphQL APIs, cloud-native architectures, and modern authentication technologies. Partner with engineering teams to explain findings, prioritize remediation efforts, and validate fixes through retesting. Develop and maintain testing methodologies, automation workflows, and security assessment procedures. Contribute to incident investigations, threat modeling activities, and continuous security improvement initiatives. Basic Requirements 4+ years of cybersecurity, application security, penetration testing, offensive security, or related experience. Bachelor's degree or equivalent combination of education and experience. Experience performing web application and API penetration testing. Experience validating security vulnerabilities, assessing exploitability, and distinguishing actionable findings from false positives. Experience assessing enterprise applications utilizing REST APIs, GraphQL APIs, authentication systems, and cloud-native technologies. Working knowledge of AWS, Azure, or Google Cloud Platform (GCP) security concepts. Experience documenting technical findings and communicating remediation guidance to engineering teams. Hands-on experience with Burp Suite Professional, Nuclei, Nmap, Metasploit, Postman, and Kali Linux tools. Preferred Skills/Experience Experience leveraging AI-assisted security tools and security automation platforms. Experience implementing, operating, or scaling continuous security testing, attack simulation, breach and attack simulation, or automated offensive security capabilities. Experience evaluating, validating, and triaging findings from automated or AI-assisted security testing platforms. Experience assessing AI-enabled applications, agent-based systems, LLM integrations, or AI security risks. Familiarity with DevSecOps, CI/CD security controls, and secure software development practices. Knowledge of OWASP Top 10, API Security Top 10, threat modeling, and secure design principles. Experience conducting red team, adversarial simulation, or attack path validation exercises. Knowledge of cloud security architecture and containerized environments. Experience performing cloud security assessments in AWS, Azure, and GCP environments. Experience creating custom security testing scripts and automation workflows. Experience developing proof-of-concept exploits and adversary emulation scenarios. Familiarity with security control validation and compliance frameworks. Experience mentoring engineers and contributing to security program maturity. Experience supporting regulated industries such as healthcare, finance, or other highly regulated environments. Relevant certifications such as OSCP, OSWE, OSWA, OSAI, HTB CWES, HTB CWEE, OSEP, GPEN, GWAPT or equivalent. Travel / Work Environment / Physical Requirements Limited travel may be required based on business needs. Hyrbid, two days a week in the office. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,900 - $173,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Job Description Job Description Global Software Firm seeks a Sr Network Security Engineer. We're looking for an engineer with strong Palo Alto, F5, and WAF experience. Experience in threat hunting and pen testing would be a plus. This is a permanent direct hire opportunity. Hybrid schedule with potential for fully remote if the hired candidate doesn't live within a reasonable commute of the data center. Compensation is competitive including: base, bonus, equity, 401k, unlimited pto, tuition reimbursement and much more! Role: The Network Security Engineer will help identify, research and evaluate security solutions and emerging technologies that align with the company's strategic direction. This person should have a strong knowledge of security, including HTTP compliance, application level security, and end-point protections. The engineer will be tasked with deploying new security technologies as well as maintaining current security infrastructure. A strong troubleshooting background is needed, as well as knowledge in APIs. Candidates should also have a strong ability to interface with other parts of the business and be able to coordinate work with multiple teams. Skills: Network routing and switching Firewall concepts and functions WAF and IPS F5: ASM, DNS, APM, AFM. Knowledge of iRules. Proxy and user access VPN access, both site-to-site and end user. GSLB, and server load balancing TLS knowledge and experience Knowledge of HTTP protocol Tier 3 operational support Preferred Experience: Routing: BGP, OSPF and EIGRP Firewall: ASA, PaloAlto and Juniper SRX Router and Switch: Cisco CCNP level knowledge Experience in reverse proxy solutions (Kemp/NGINX/HA Proxy) Experience in user proxy technologies Experience with Cloud Based DDoS and WAF solutions. Experience with NAC implementations (ClearPass, ISE) Familiarity with REST APIs and automation Anticipated base salary in the 150-180k range, + bonus
11/09/2026
Full time
Job Description Job Description Global Software Firm seeks a Sr Network Security Engineer. We're looking for an engineer with strong Palo Alto, F5, and WAF experience. Experience in threat hunting and pen testing would be a plus. This is a permanent direct hire opportunity. Hybrid schedule with potential for fully remote if the hired candidate doesn't live within a reasonable commute of the data center. Compensation is competitive including: base, bonus, equity, 401k, unlimited pto, tuition reimbursement and much more! Role: The Network Security Engineer will help identify, research and evaluate security solutions and emerging technologies that align with the company's strategic direction. This person should have a strong knowledge of security, including HTTP compliance, application level security, and end-point protections. The engineer will be tasked with deploying new security technologies as well as maintaining current security infrastructure. A strong troubleshooting background is needed, as well as knowledge in APIs. Candidates should also have a strong ability to interface with other parts of the business and be able to coordinate work with multiple teams. Skills: Network routing and switching Firewall concepts and functions WAF and IPS F5: ASM, DNS, APM, AFM. Knowledge of iRules. Proxy and user access VPN access, both site-to-site and end user. GSLB, and server load balancing TLS knowledge and experience Knowledge of HTTP protocol Tier 3 operational support Preferred Experience: Routing: BGP, OSPF and EIGRP Firewall: ASA, PaloAlto and Juniper SRX Router and Switch: Cisco CCNP level knowledge Experience in reverse proxy solutions (Kemp/NGINX/HA Proxy) Experience in user proxy technologies Experience with Cloud Based DDoS and WAF solutions. Experience with NAC implementations (ClearPass, ISE) Familiarity with REST APIs and automation Anticipated base salary in the 150-180k range, + bonus
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
11/09/2026
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 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 Applied AI 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 Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems 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 AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - 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 production LLM 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 - and the AI systems built on it - 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 and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. 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). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. 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. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with 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. 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 Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. 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 $200,000-$350,000 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. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
11/09/2026
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 Applied AI 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 Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems 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 AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - 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 production LLM 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 - and the AI systems built on it - 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 and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. 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). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. 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. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with 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. 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 Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. 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 $200,000-$350,000 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. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
Job Description Responsibilities/Job Description The REMOTE - Senior SAM Specialist leads SAM projects, develops tool strategies, mentors team members, aligns with SAM technologies, manages records, tracks software assets, oversees asset lifecycles, provides licensing expertise, tracks compliance, supports stakeholders, fosters continuous improvement, and encourages training to maximize IT asset efficiency. Responsibilities Assist in leading engagements and projects related to maturing, enhancing, auditing, and modifying the SAM program while pursuing avenues of automation and process efficiencies, and document the outcomes. Assist in the develop and execute enterprise tool strategy, manage the SAM tool lifecycle, and communicate its value across the enterprise. Efficiently develop mature processes and procedures to automate the collection, storage, and reporting of key software data, including SOPs and WIs. Prioritize and align with SAM-relevant data source technologies, APIs, and discovery sources owned by other IT teams to ensure trustworthy data, improved discovery, and enhanced insights. Manage the maintenance of records and databases containing information regarding software assets, licenses, warranties, services, and lease agreements to ensure proper documentation, compliance, and inventory. Track and report software assets, analyze large amounts of data and trends, and create dashboards with KPIs to provide best practices, compliance information, and financial insights for cost optimization. Oversee the entire lifecycle of software assets, including maintaining up-to-date records, validating discovery data accuracy, and addressing discrepancies. Provide licensing expertise, design license metrics, and administer the SAM tool while maintaining data sources. Track compliance issues, implement remediation plans, prepare for software audits, and generate reports on compliance and software usage. Lead the support of key stakeholders, including application leadership, security, engineering, enterprise architecture, vendor management, finance, general end users, contracting, and other key stakeholders, aligning to SAM processes, standards, and capabilities. Enable a feedback loop for continuous improvement and innovation. Focus on continuous improvement by staying updated with industry trends and best practices, and encouraging innovation and efficiency. Encourage ongoing training and development to keep skills and knowledge current, and explore opportunities for maximizing or exploiting unused or partially used IT assets to improve efficiency. Required Qualifications Bachelor of Science or equivalent work/education experience with focus on Information Technology/Systems related technical field 5+ years of experience in IT Asset Management (ITAM) with expertise in Software Asset Management (SAM) including: 4+ years of SAM roles that contained participation in a SAM tool implementation, planning new levels of maturity of a SAM program, and 3+ years of software data analysis. 1+ years of experience training internal/external stakeholders and partners on ITAM process and skills. Demonstrated ability to deliver complex projects. Excellent written and verbal communication skills. Experience creating presentations. Experience presenting to large audiences and all levels of the organization. Excellent analytical skills. Excellent reporting skills with multiple of the following areas demonstrating evidence of showing the value through performance metrics, financials, capacity, smart goals, and efficiencies/automation. Demonstrated ability to build collaborative relationships with all levels of the organization, including strong collaboration, facilitation, negotiation, and problem-solving skills. Demonstrated ability to facilitate problem-solving among groups with varying needs and priorities; effectively drive without direct authority. Demonstrated ability to independently multi-task and prioritize work. Demonstrated ability to complete multiple daily objectives effectively and efficiently Demonstrated ability to explain technical concepts in non-technical language. Demonstrated experience in training and developing team members and stakeholders on ITAM processes and skills. Preferred Qualifications B.S./B.A. in Computer Science or related field. 5+ years of experience in Software Asset Management (SAM). 2+ years of experience training internal/external stakeholders and partners on SAM process and skills. Experience in SAM technology and writing SAM standards and process. Client and stakeholder relationship management experience and the ability to proactively manage expectations. Experience with administration, maintenance, compliance, and management of SAM (SAM Pro) in ServiceNow. Experience with Finance, Vendor Management, and Software Contracts. Experience within the Healthcare Industry. Experience in a large, complex organization. IAITAM Certification(s) ServiceNow Certification(s) Qualifications $89,980.80- $127,025.60 Annual
11/09/2026
Full time
Job Description Responsibilities/Job Description The REMOTE - Senior SAM Specialist leads SAM projects, develops tool strategies, mentors team members, aligns with SAM technologies, manages records, tracks software assets, oversees asset lifecycles, provides licensing expertise, tracks compliance, supports stakeholders, fosters continuous improvement, and encourages training to maximize IT asset efficiency. Responsibilities Assist in leading engagements and projects related to maturing, enhancing, auditing, and modifying the SAM program while pursuing avenues of automation and process efficiencies, and document the outcomes. Assist in the develop and execute enterprise tool strategy, manage the SAM tool lifecycle, and communicate its value across the enterprise. Efficiently develop mature processes and procedures to automate the collection, storage, and reporting of key software data, including SOPs and WIs. Prioritize and align with SAM-relevant data source technologies, APIs, and discovery sources owned by other IT teams to ensure trustworthy data, improved discovery, and enhanced insights. Manage the maintenance of records and databases containing information regarding software assets, licenses, warranties, services, and lease agreements to ensure proper documentation, compliance, and inventory. Track and report software assets, analyze large amounts of data and trends, and create dashboards with KPIs to provide best practices, compliance information, and financial insights for cost optimization. Oversee the entire lifecycle of software assets, including maintaining up-to-date records, validating discovery data accuracy, and addressing discrepancies. Provide licensing expertise, design license metrics, and administer the SAM tool while maintaining data sources. Track compliance issues, implement remediation plans, prepare for software audits, and generate reports on compliance and software usage. Lead the support of key stakeholders, including application leadership, security, engineering, enterprise architecture, vendor management, finance, general end users, contracting, and other key stakeholders, aligning to SAM processes, standards, and capabilities. Enable a feedback loop for continuous improvement and innovation. Focus on continuous improvement by staying updated with industry trends and best practices, and encouraging innovation and efficiency. Encourage ongoing training and development to keep skills and knowledge current, and explore opportunities for maximizing or exploiting unused or partially used IT assets to improve efficiency. Required Qualifications Bachelor of Science or equivalent work/education experience with focus on Information Technology/Systems related technical field 5+ years of experience in IT Asset Management (ITAM) with expertise in Software Asset Management (SAM) including: 4+ years of SAM roles that contained participation in a SAM tool implementation, planning new levels of maturity of a SAM program, and 3+ years of software data analysis. 1+ years of experience training internal/external stakeholders and partners on ITAM process and skills. Demonstrated ability to deliver complex projects. Excellent written and verbal communication skills. Experience creating presentations. Experience presenting to large audiences and all levels of the organization. Excellent analytical skills. Excellent reporting skills with multiple of the following areas demonstrating evidence of showing the value through performance metrics, financials, capacity, smart goals, and efficiencies/automation. Demonstrated ability to build collaborative relationships with all levels of the organization, including strong collaboration, facilitation, negotiation, and problem-solving skills. Demonstrated ability to facilitate problem-solving among groups with varying needs and priorities; effectively drive without direct authority. Demonstrated ability to independently multi-task and prioritize work. Demonstrated ability to complete multiple daily objectives effectively and efficiently Demonstrated ability to explain technical concepts in non-technical language. Demonstrated experience in training and developing team members and stakeholders on ITAM processes and skills. Preferred Qualifications B.S./B.A. in Computer Science or related field. 5+ years of experience in Software Asset Management (SAM). 2+ years of experience training internal/external stakeholders and partners on SAM process and skills. Experience in SAM technology and writing SAM standards and process. Client and stakeholder relationship management experience and the ability to proactively manage expectations. Experience with administration, maintenance, compliance, and management of SAM (SAM Pro) in ServiceNow. Experience with Finance, Vendor Management, and Software Contracts. Experience within the Healthcare Industry. Experience in a large, complex organization. IAITAM Certification(s) ServiceNow Certification(s) Qualifications $89,980.80- $127,025.60 Annual
Job Description Job Description Position Description: As a MES Implementation Engineer, you will be responsible for supporting transformation initiatives for industrial clients by aligning shop floor operations, business requirements, and digital enablement solutions.Gather and document business and functional requirements for manufacturing process transformation initiativesCo-define and document use cases for work order execution, electronic batch records, genealogy and traceability, and non-conformance management in collaboration with the customer during structured requirements and blueprinting workshopsSupport shop floor digitization and operational excellence programs across production, quality, maintenance, and inventory processesCollaborate with technical teams on system configuration and integration with enterprise resource planning, automation, and data platform environmentsParticipate in testing, deployment, hypercare, training, user adoption and auditing activities across project delivery phasesA successful candidate would possess the ability to:Guide customer's senior leaders to optimal solutionsWork independently and collaborate as part of a team?Demonstrate effective written and verbal communication skillsApply meticulous attention to detail and quality of work productBuild and sustain professional relationshipsLead projects or workstreamsManage and prioritize multiple tasks in a fast-paced and dynamic environmentExude a strong interpersonal skills and professional demeanorMeet deadlinesTranslate customer business goals and operational requirements into system design and configuration decisions. Recognize and manage customer adoption resistance, monitor engagement, and escalate risks to project leadership. Engage confidently in technical conversations with customer IT and engineering teams, and to research and escalate unknowns transparently rather than speculateThe team:Our team helps clients transform their value chains into competitive advantages. We drive efficiency, improve flexibility, and increase responsiveness through proactive insights and decision-making. We advise, implement, and operate transformational solutions that bring world-class supply network and operational capabilities to our clients. We provide operational know-how, digital technologies, advanced analytics, and industry-specific hybrid solutions to deliver unprecedented client value. Additionally, we improve operations, product, and material flow across the breadth of the value chain and create greater supply network synergy and value.You will work closely with operations leaders, plant managers, and IT teams to design and implement solutions that enhance production efficiency, quality, visibility, and traceability across the manufacturing value chain.Qualifications Required:Bachelor's degree in Engineering, Operations, Supply Chain, Manufacturing, or Business3+ years of experience in manufacturing operations, process improvement, or consultingExperience working with at least one MES or MOM software platform in a delivery, configuration, or support capacity.Experience with end-to-end manufacturing processes, including production, quality, maintenance, and inventoryExperience working in plant environments supporting discrete manufacturing or process manufacturing operationsExperience translating manufacturing requirements into business and functional requirementsExperience identifying operational inefficiencies and implementing technology-based solutions to streamline workflows Experience delivering solutions in a customer-facing professional services or implementation context.Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred:Customer facing consulting experience Training experience is preferred: Experience designing or delivering end-user training in a manufacturing or industrial environment.Experience supporting Industry 4.0, Internet of Things, or smart factory initiativesExperience using Microsoft Project, Jira, or Agile project management tools Experience with SQL script writing- Experience with SQL database setup, maintenance, and maintenance plans $90,000.00 - $115,000.00 Annually
11/09/2026
Full time
Job Description Job Description Position Description: As a MES Implementation Engineer, you will be responsible for supporting transformation initiatives for industrial clients by aligning shop floor operations, business requirements, and digital enablement solutions.Gather and document business and functional requirements for manufacturing process transformation initiativesCo-define and document use cases for work order execution, electronic batch records, genealogy and traceability, and non-conformance management in collaboration with the customer during structured requirements and blueprinting workshopsSupport shop floor digitization and operational excellence programs across production, quality, maintenance, and inventory processesCollaborate with technical teams on system configuration and integration with enterprise resource planning, automation, and data platform environmentsParticipate in testing, deployment, hypercare, training, user adoption and auditing activities across project delivery phasesA successful candidate would possess the ability to:Guide customer's senior leaders to optimal solutionsWork independently and collaborate as part of a team?Demonstrate effective written and verbal communication skillsApply meticulous attention to detail and quality of work productBuild and sustain professional relationshipsLead projects or workstreamsManage and prioritize multiple tasks in a fast-paced and dynamic environmentExude a strong interpersonal skills and professional demeanorMeet deadlinesTranslate customer business goals and operational requirements into system design and configuration decisions. Recognize and manage customer adoption resistance, monitor engagement, and escalate risks to project leadership. Engage confidently in technical conversations with customer IT and engineering teams, and to research and escalate unknowns transparently rather than speculateThe team:Our team helps clients transform their value chains into competitive advantages. We drive efficiency, improve flexibility, and increase responsiveness through proactive insights and decision-making. We advise, implement, and operate transformational solutions that bring world-class supply network and operational capabilities to our clients. We provide operational know-how, digital technologies, advanced analytics, and industry-specific hybrid solutions to deliver unprecedented client value. Additionally, we improve operations, product, and material flow across the breadth of the value chain and create greater supply network synergy and value.You will work closely with operations leaders, plant managers, and IT teams to design and implement solutions that enhance production efficiency, quality, visibility, and traceability across the manufacturing value chain.Qualifications Required:Bachelor's degree in Engineering, Operations, Supply Chain, Manufacturing, or Business3+ years of experience in manufacturing operations, process improvement, or consultingExperience working with at least one MES or MOM software platform in a delivery, configuration, or support capacity.Experience with end-to-end manufacturing processes, including production, quality, maintenance, and inventoryExperience working in plant environments supporting discrete manufacturing or process manufacturing operationsExperience translating manufacturing requirements into business and functional requirementsExperience identifying operational inefficiencies and implementing technology-based solutions to streamline workflows Experience delivering solutions in a customer-facing professional services or implementation context.Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred:Customer facing consulting experience Training experience is preferred: Experience designing or delivering end-user training in a manufacturing or industrial environment.Experience supporting Industry 4.0, Internet of Things, or smart factory initiativesExperience using Microsoft Project, Jira, or Agile project management tools Experience with SQL script writing- Experience with SQL database setup, maintenance, and maintenance plans $90,000.00 - $115,000.00 Annually
Job Description Job Description Manufacturing Innovation Advanced Technology Engineer Georgetown, Kentucky On-Site Contract Opportunity $50-$55 per Hour Position Highlights Full-time hours On-site position in Georgetown, KY Long-term contract opportunity PTO Paid holidays Competitive pay and benefits Benefits begin Day 1 Position Summary We are seeking a highly skilled Manufacturing Innovation Advanced Technology Engineer to support the development and deployment of advanced AI and computer vision technologies within high-volume manufacturing environments. This role will focus on developing production-grade machine learning models for industrial vision inspection systems, accelerating model training, optimizing AI solutions for edge hardware, and integrating vision systems with manufacturing equipment and industrial networks. Reporting to the Manufacturing Innovation Manager, this position will support the Production Engineering Division and SOAR Group's efforts to improve manufacturing competitiveness through innovative technology solutions. The ideal candidate will have strong experience in industrial machine vision, edge AI, machine learning, and manufacturing technology, along with the ability to take projects from concept through production launch. Key Responsibilities Model Development & Training Design and implement computer vision models for defect detection, segmentation, and classification Accelerate training cycles using synthetic data, active learning, and domain randomization to address rare defects and specification variance Develop and deploy production-grade machine learning models for industrial vision inspection systems across manufacturing lines Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time Manage the full model lifecycle, including data collection, labeling, validation, rollout, monitoring, and retraining Production Deployment Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools Implement version control, rollback strategies, and observability for latency, model drift, and false-positive/false-negative metrics Deliver containerized software optimized for production and edge environments Edge Optimization Optimize inference for edge and embedded hardware, including NVIDIA Jetson and Intel accelerators Ensure AI solutions meet strict real-time latency requirements for moving-line inspection Ensure consistent system performance under varying lighting, optics, and surface conditions Utilize technologies such as ONNX Runtime and TensorRT to optimize models for embedded hardware Integration with Manufacturing Systems Integrate vision systems with PLCs, encoders, triggers, and industrial networks Utilize industrial communication protocols including OPC-UA, MQTT, and REST Align technology deployments with Toyota's ICS+, GALC, and TVIP architecture standards for plant-level connectivity and reliability Collaborate with automation, IT, engineering, and manufacturing teams to ensure robust integration of AI solutions Data Strategy & Quality Control Lead data collection campaigns and manage annotation workflows Establish quality gates for model validation and production readiness Monitor inspection accuracy and balance false-positive rates against flow-out risk Implement drift detection and audit false-out risks Perform root cause analysis for inspection failures and develop corrective actions Reliability & Sustainment Ensure uptime and availability targets are met through proactive monitoring and system maintenance Support calibration and measurement system analysis (MSA) Establish and maintain backup and restore processes Monitor production performance and continuously improve system reliability Manufacturing Innovation & Project Management Develop new technologies focused on Production Engineering and manufacturing competitiveness Lead projects from concept through launch for the first introduction of new technologies into manufacturing Create project schedules, establish punch lists, and manage established due dates and milestones Develop detailed scopes of work and manage vendors and contractors Provide regular project status updates to leadership and stakeholders Research innovative technology solutions and conduct trials in manufacturing environments Develop business case justifications and recommendations for technology purchases when trials demonstrate successful results Collaborate with internal and external teams across Toyota, including North American Manufacturing Centers (NAMCs), Toyota Motor Corp. (TMC), Toyota Technical Center (TTC), Production Engineering support shops, IT/One Tech teams, automation teams, and Plano divisions Support the successful integration of robust AI solutions into high-volume manufacturing environments Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology, or a related field 5+ years of experience in industrial machine vision and edge AI deployment Proficiency in Python and C++ Strong knowledge of machine learning frameworks such as PyTorch and TensorFlow Hands-on experience with Docker and Kubernetes Experience with ONNX Runtime, TensorRT, and optimization for embedded hardware Experience integrating vision systems with PLCs and industrial communication protocols such as OPC-UA and MQTT Experience managing the complete machine learning model lifecycle, including data collection, labeling, validation, deployment, monitoring, and retraining Experience with object detection, classification, and segmentation Familiarity with mainstream object detection and semantic/instance segmentation models Experience with industrial cameras, lighting, optics, and trigger-based image capture Understanding of inspection accuracy and the balance between false positives and flow-out risk Experience with project management, including developing scopes of work, creating schedules, managing vendors/contractors, and providing project status updates Ability to travel to North American Manufacturing Centers (NAMCs), including Canada and Mexico, as well as Toyota Motor Corp. (TMC) in Japan This is an exciting opportunity to help introduce emerging AI and computer vision technologies into manufacturing and directly contribute to improving manufacturing competitiveness. Equal Employment Opportunity Commission (EEOC) Statement Reliance One, Inc. is an Equal Opportunity Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any kind, without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local laws.
11/09/2026
Full time
Job Description Job Description Manufacturing Innovation Advanced Technology Engineer Georgetown, Kentucky On-Site Contract Opportunity $50-$55 per Hour Position Highlights Full-time hours On-site position in Georgetown, KY Long-term contract opportunity PTO Paid holidays Competitive pay and benefits Benefits begin Day 1 Position Summary We are seeking a highly skilled Manufacturing Innovation Advanced Technology Engineer to support the development and deployment of advanced AI and computer vision technologies within high-volume manufacturing environments. This role will focus on developing production-grade machine learning models for industrial vision inspection systems, accelerating model training, optimizing AI solutions for edge hardware, and integrating vision systems with manufacturing equipment and industrial networks. Reporting to the Manufacturing Innovation Manager, this position will support the Production Engineering Division and SOAR Group's efforts to improve manufacturing competitiveness through innovative technology solutions. The ideal candidate will have strong experience in industrial machine vision, edge AI, machine learning, and manufacturing technology, along with the ability to take projects from concept through production launch. Key Responsibilities Model Development & Training Design and implement computer vision models for defect detection, segmentation, and classification Accelerate training cycles using synthetic data, active learning, and domain randomization to address rare defects and specification variance Develop and deploy production-grade machine learning models for industrial vision inspection systems across manufacturing lines Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time Manage the full model lifecycle, including data collection, labeling, validation, rollout, monitoring, and retraining Production Deployment Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools Implement version control, rollback strategies, and observability for latency, model drift, and false-positive/false-negative metrics Deliver containerized software optimized for production and edge environments Edge Optimization Optimize inference for edge and embedded hardware, including NVIDIA Jetson and Intel accelerators Ensure AI solutions meet strict real-time latency requirements for moving-line inspection Ensure consistent system performance under varying lighting, optics, and surface conditions Utilize technologies such as ONNX Runtime and TensorRT to optimize models for embedded hardware Integration with Manufacturing Systems Integrate vision systems with PLCs, encoders, triggers, and industrial networks Utilize industrial communication protocols including OPC-UA, MQTT, and REST Align technology deployments with Toyota's ICS+, GALC, and TVIP architecture standards for plant-level connectivity and reliability Collaborate with automation, IT, engineering, and manufacturing teams to ensure robust integration of AI solutions Data Strategy & Quality Control Lead data collection campaigns and manage annotation workflows Establish quality gates for model validation and production readiness Monitor inspection accuracy and balance false-positive rates against flow-out risk Implement drift detection and audit false-out risks Perform root cause analysis for inspection failures and develop corrective actions Reliability & Sustainment Ensure uptime and availability targets are met through proactive monitoring and system maintenance Support calibration and measurement system analysis (MSA) Establish and maintain backup and restore processes Monitor production performance and continuously improve system reliability Manufacturing Innovation & Project Management Develop new technologies focused on Production Engineering and manufacturing competitiveness Lead projects from concept through launch for the first introduction of new technologies into manufacturing Create project schedules, establish punch lists, and manage established due dates and milestones Develop detailed scopes of work and manage vendors and contractors Provide regular project status updates to leadership and stakeholders Research innovative technology solutions and conduct trials in manufacturing environments Develop business case justifications and recommendations for technology purchases when trials demonstrate successful results Collaborate with internal and external teams across Toyota, including North American Manufacturing Centers (NAMCs), Toyota Motor Corp. (TMC), Toyota Technical Center (TTC), Production Engineering support shops, IT/One Tech teams, automation teams, and Plano divisions Support the successful integration of robust AI solutions into high-volume manufacturing environments Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology, or a related field 5+ years of experience in industrial machine vision and edge AI deployment Proficiency in Python and C++ Strong knowledge of machine learning frameworks such as PyTorch and TensorFlow Hands-on experience with Docker and Kubernetes Experience with ONNX Runtime, TensorRT, and optimization for embedded hardware Experience integrating vision systems with PLCs and industrial communication protocols such as OPC-UA and MQTT Experience managing the complete machine learning model lifecycle, including data collection, labeling, validation, deployment, monitoring, and retraining Experience with object detection, classification, and segmentation Familiarity with mainstream object detection and semantic/instance segmentation models Experience with industrial cameras, lighting, optics, and trigger-based image capture Understanding of inspection accuracy and the balance between false positives and flow-out risk Experience with project management, including developing scopes of work, creating schedules, managing vendors/contractors, and providing project status updates Ability to travel to North American Manufacturing Centers (NAMCs), including Canada and Mexico, as well as Toyota Motor Corp. (TMC) in Japan This is an exciting opportunity to help introduce emerging AI and computer vision technologies into manufacturing and directly contribute to improving manufacturing competitiveness. Equal Employment Opportunity Commission (EEOC) Statement Reliance One, Inc. is an Equal Opportunity Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any kind, without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local laws.
Job Description Job Description We're looking for hardware engineers with hands-on experience in chip design workflows-ideally those who have contributed to real-world tapeouts at companies like Apple, NVIDIA, Etched, or leading EDA vendors such as Synopsys or Cadence. Candidates with exposure to AI-for-chip-design initiatives or a strong understanding of modern ML workflows will stand out. Responsibilities Drive direction and technical leadership across our multi-agent platform and domain-specific hardware knowledge base. Bring a deep understanding of chip design workflows and help shape product roadmap with real-world context. Integrate seamlessly into customer pipelines across RTL, PD, and architectural stages. Track evolving trends in both semiconductor design and AI-assisted design automation. Create internal benchmarks and datasets to rigorously evaluate system performance across RTL, PD, and architectural use cases. Qualifications Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a related discipline (interns may be considered for their flair). Hands-on experience in a semiconductor or EDA environment (e.g., NVIDIA, AMD, Intel, Synopsys, Cadence), 1+ years of full-time experience required, 3+ years preferred. Proficiency in scripting (Python, Bash) and experience with automation or tooling for design verification or integration. SPECIALTY: DI (Design Integration, RTL, Architecture) Proven track record of developing architectures and RTL for hardware blocks or IP. Experience with SystemVerilog, Verilog & SoC design methodologies. SPECIALTY: PD (Physical Design) Part of leading edge tapeouts (7nm or smaller). Worked on at least one of synthesis, floor planning, place-and-route, physical verification, and timing. Familiar with one of Genus, Innovus, Tempus, Mentor Calibre, Synopsys IC Compiler, or other relevant EDA CAD tool (and associated TCL). Preferred Experience Experience on AI-for-chip-design initiatives (e.g., at Synopsys, NVIDIA, GoogleDeepMind). Understanding of DFT, power optimization techniques, or low-power design flows. Experience on an IP development team, developing PCIe, PHY, LPDOR, MemoryControllers, NoC, CPU subsystems, or similar.
11/09/2026
Full time
Job Description Job Description We're looking for hardware engineers with hands-on experience in chip design workflows-ideally those who have contributed to real-world tapeouts at companies like Apple, NVIDIA, Etched, or leading EDA vendors such as Synopsys or Cadence. Candidates with exposure to AI-for-chip-design initiatives or a strong understanding of modern ML workflows will stand out. Responsibilities Drive direction and technical leadership across our multi-agent platform and domain-specific hardware knowledge base. Bring a deep understanding of chip design workflows and help shape product roadmap with real-world context. Integrate seamlessly into customer pipelines across RTL, PD, and architectural stages. Track evolving trends in both semiconductor design and AI-assisted design automation. Create internal benchmarks and datasets to rigorously evaluate system performance across RTL, PD, and architectural use cases. Qualifications Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a related discipline (interns may be considered for their flair). Hands-on experience in a semiconductor or EDA environment (e.g., NVIDIA, AMD, Intel, Synopsys, Cadence), 1+ years of full-time experience required, 3+ years preferred. Proficiency in scripting (Python, Bash) and experience with automation or tooling for design verification or integration. SPECIALTY: DI (Design Integration, RTL, Architecture) Proven track record of developing architectures and RTL for hardware blocks or IP. Experience with SystemVerilog, Verilog & SoC design methodologies. SPECIALTY: PD (Physical Design) Part of leading edge tapeouts (7nm or smaller). Worked on at least one of synthesis, floor planning, place-and-route, physical verification, and timing. Familiar with one of Genus, Innovus, Tempus, Mentor Calibre, Synopsys IC Compiler, or other relevant EDA CAD tool (and associated TCL). Preferred Experience Experience on AI-for-chip-design initiatives (e.g., at Synopsys, NVIDIA, GoogleDeepMind). Understanding of DFT, power optimization techniques, or low-power design flows. Experience on an IP development team, developing PCIe, PHY, LPDOR, MemoryControllers, NoC, CPU subsystems, or similar.
Job Description Job Description We are seeking an experienced Head of Hardware to lead our hardware engineering efforts at an innovative AI startup revolutionizing chip design through machine learning. This pivotal leadership role is ideal for a seasoned professional with a passion for driving complex hardware projects, mentoring teams, and shaping the future of AI-driven chip design in a fast-paced, cutting-edge environment. Key Responsibilities Lead Hardware Engineering Strategy: Oversee all hardware engineering efforts, setting the vision and strategy for RTL development and chip design, while serving as the primary technical authority for ML engineers learning hardware design. Establish Validation Frameworks: Develop and implement evaluations, benchmarks, and measurement frameworks to validate ML-generated hardware designs for accuracy, performance, and scalability. Collaborate with ML Team: Partner closely with the ML team to translate hardware requirements and industry best practices into actionable guidance, ensuring ML models align with chip design goals. Mentor and Build Teams: Guide and mentor founding hardware engineers, fostering a culture of excellence and establishing robust hardware design methodologies and processes. Drive Client Engagement: Lead client interactions to understand their chip design requirements, translating them into actionable technical specifications for the engineering team. Spearhead Design Transition: Oversee the transition from tool development to production-ready chip design as the company scales, ensuring high-quality deliverables and operational efficiency. Day-to-Day Example Your week might involve reviewing ML-generated RTL code and providing strategic feedback to the ML team to enhance model performance. You'll lead client discussions to align on chip design requirements, ensuring project goals meet customer needs. Additionally, you'll mentor junior hardware engineers, sharing expertise on best practices and guiding their professional growth. For instance, last month, our team improved our ML model's ability to generate complex digital blocks, and you would have driven the evaluation methodology, provided technical validation, and aligned the team's efforts with company objectives. This role thrives in a dynamic, innovative environment at the forefront of AI and hardware integration. Qualifications Experience: 5+ years in hardware design and verification, with a proven track record of leading RTL development teams and delivering successful tapeouts. Technical Expertise: Deep expertise in RTL design (Verilog/SystemVerilog), synthesis, and verification methodologies (UVM preferred), with a strong understanding of chip design lifecycle. Leadership: Demonstrated ability to lead complex chip design projects, manage cross-functional teams, and drive technical strategy in a fast-paced environment. AI Startup Fit: Comfortable thriving in a dynamic AI startup, with the ability to adapt to evolving priorities, tight timelines, and innovative challenges. Bonus Skills: Experience with machine learning concepts and their application to hardware design. Strong Python programming skills for scripting, automation, and tool development. Communication: Exceptional leadership and communication skills to align cross-functional teams, engage with clients, and mentor engineers. Preferred Qualifications Familiarity with AI hardware architectures (e.g., TPUs, GPUs) and their design/verification challenges. Expertise with EDA tools (e.g., Synopsys, Cadence) and formal verification techniques. Experience collaborating with ML teams or working with MLOps practices for model validation.
11/09/2026
Full time
Job Description Job Description We are seeking an experienced Head of Hardware to lead our hardware engineering efforts at an innovative AI startup revolutionizing chip design through machine learning. This pivotal leadership role is ideal for a seasoned professional with a passion for driving complex hardware projects, mentoring teams, and shaping the future of AI-driven chip design in a fast-paced, cutting-edge environment. Key Responsibilities Lead Hardware Engineering Strategy: Oversee all hardware engineering efforts, setting the vision and strategy for RTL development and chip design, while serving as the primary technical authority for ML engineers learning hardware design. Establish Validation Frameworks: Develop and implement evaluations, benchmarks, and measurement frameworks to validate ML-generated hardware designs for accuracy, performance, and scalability. Collaborate with ML Team: Partner closely with the ML team to translate hardware requirements and industry best practices into actionable guidance, ensuring ML models align with chip design goals. Mentor and Build Teams: Guide and mentor founding hardware engineers, fostering a culture of excellence and establishing robust hardware design methodologies and processes. Drive Client Engagement: Lead client interactions to understand their chip design requirements, translating them into actionable technical specifications for the engineering team. Spearhead Design Transition: Oversee the transition from tool development to production-ready chip design as the company scales, ensuring high-quality deliverables and operational efficiency. Day-to-Day Example Your week might involve reviewing ML-generated RTL code and providing strategic feedback to the ML team to enhance model performance. You'll lead client discussions to align on chip design requirements, ensuring project goals meet customer needs. Additionally, you'll mentor junior hardware engineers, sharing expertise on best practices and guiding their professional growth. For instance, last month, our team improved our ML model's ability to generate complex digital blocks, and you would have driven the evaluation methodology, provided technical validation, and aligned the team's efforts with company objectives. This role thrives in a dynamic, innovative environment at the forefront of AI and hardware integration. Qualifications Experience: 5+ years in hardware design and verification, with a proven track record of leading RTL development teams and delivering successful tapeouts. Technical Expertise: Deep expertise in RTL design (Verilog/SystemVerilog), synthesis, and verification methodologies (UVM preferred), with a strong understanding of chip design lifecycle. Leadership: Demonstrated ability to lead complex chip design projects, manage cross-functional teams, and drive technical strategy in a fast-paced environment. AI Startup Fit: Comfortable thriving in a dynamic AI startup, with the ability to adapt to evolving priorities, tight timelines, and innovative challenges. Bonus Skills: Experience with machine learning concepts and their application to hardware design. Strong Python programming skills for scripting, automation, and tool development. Communication: Exceptional leadership and communication skills to align cross-functional teams, engage with clients, and mentor engineers. Preferred Qualifications Familiarity with AI hardware architectures (e.g., TPUs, GPUs) and their design/verification challenges. Expertise with EDA tools (e.g., Synopsys, Cadence) and formal verification techniques. Experience collaborating with ML teams or working with MLOps practices for model validation.
Job Description Job Description We are seeking a highly skilled and experienced Application Security Engineer to join our Application Security team to take charge and advance our application security initiatives, while ensuring the security and integrity of our applications. You will drive security best practices, identify vulnerabilities, and implement solutions to protect our systems and data from evolving threats. This role will require collaboration with development teams, security architects, leadership, and other stakeholders to integrate security best practices into all stages of the software development lifecycle. The Opportunity Your key responsibilities will consist of the following to ensure applications are resilient against emerging threats, reducing potential financial and reputational damage from security incidents. Embed security best practices into the software development lifecycle (SDLC). Conduct in-depth security assessments, including vulnerability scanning, and code reviews. Leverage automated tools and manual testing techniques to identify, risk assess and prioritize and propose mitigation strategies for identified threats and application-level vulnerabilities (e.g., OWASP Top 10, etc.) ensuring our applications meet security standards and reducing exposure to data breaches. Collaborate with security architects to design secure application architectures that align with industry best practices. Ensure secure coding practices are followed, and security controls are incorporated into software designs. Conduct detailed threat modeling to identify attack vectors and potential weaknesses. Collaborate with our SDLC Council to develop and maintain secure coding standards, empowering developers to integrate security into the development process. Partner with DevOps teams to implement security within CI/CD (continuous integration & delivery) pipelines for automated and seamless deployment of secure code. Develop, configure, and maintain tools for static and dynamic application security testing (SAST/DAST). Evaluate third-party software and APIs for security compliance Assist in incident response activities related to application security breaches, providing rapid identification and mitigation guidance. Ensure compliance with security regulations, frameworks, and industry standards such as OWASP. Leverage reporting tools to demonstrate the overall risk through metrics (KPIs, KRIs, OKRs) of vulnerabilities and code defects of cyber assets for various team leaders and executive leadership for risk prioritization and enablement of risk-based decision-making. Stay up to date with the latest security threats, vulnerabilities, and industry trends to inform and improve security strategies. Strong problem-solving abilities and analytical thinking. Educate developers and stakeholders on secure coding practices. Excellent communication skills to explain security issues to both technical and non-technical stakeholders. A team player with the ability to work in a collaborative, fast-paced environment. The Minimum Qualifications : Bachelor's or master's degree in computer science, Information Security, or a related field. 8+ years of experience in application security, penetration testing, or secure software development. The Ideal Qualifications: Relevant security certifications such as CEH, OSCP, CISSP, or GWAPT from an industry recognized certifier (e.g., SANS/GIAC, CompTIA, ISACA, ISC2, etc.) Strong knowledge of secure software development methodologies, including threat modeling, code reviews, and static/dynamic analysis. Strong knowledge of application security vulnerabilities and best practices (e.g., OWASP Top 10, etc.) Experience in integrating security into DevOps (DevSecOps) and CI/CD environments. Strong technical knowledge of web application security, cloud security (AWS, Azure, GCP), mobile security, infrastructure as code (IaC), containerized environments (Docker, Kubernetes), and API security. Hands-on experience with security tools such as SAST, DAST, SCA, IAST, and fuzzing tools. Deep understanding of common vulnerabilities (e.g., OWASP Top 10) and their mitigations. Advance understanding and experience with writing source code in at least one programming language (e.g., JavaScript, Java, C/C++/C#, Python, etc.) and familiarity with software security frameworks (e.g., Maven, Node, Gradle, etc.). Experience with identifying security vulnerabilities/defects in dockers, containers, and Kubernetes. Experience with cloud deployment and automation tools (Terraform, GitHub Actions, Jenkins, AWS Cloud Formation Templates, Secrets Managers). Knowledge of encryption, authentication, and access control. Knowledge of compliance and regulatory frameworks (SOC 2, etc.). Education: Bachelor's or master's degree in computer science
11/09/2026
Full time
Job Description Job Description We are seeking a highly skilled and experienced Application Security Engineer to join our Application Security team to take charge and advance our application security initiatives, while ensuring the security and integrity of our applications. You will drive security best practices, identify vulnerabilities, and implement solutions to protect our systems and data from evolving threats. This role will require collaboration with development teams, security architects, leadership, and other stakeholders to integrate security best practices into all stages of the software development lifecycle. The Opportunity Your key responsibilities will consist of the following to ensure applications are resilient against emerging threats, reducing potential financial and reputational damage from security incidents. Embed security best practices into the software development lifecycle (SDLC). Conduct in-depth security assessments, including vulnerability scanning, and code reviews. Leverage automated tools and manual testing techniques to identify, risk assess and prioritize and propose mitigation strategies for identified threats and application-level vulnerabilities (e.g., OWASP Top 10, etc.) ensuring our applications meet security standards and reducing exposure to data breaches. Collaborate with security architects to design secure application architectures that align with industry best practices. Ensure secure coding practices are followed, and security controls are incorporated into software designs. Conduct detailed threat modeling to identify attack vectors and potential weaknesses. Collaborate with our SDLC Council to develop and maintain secure coding standards, empowering developers to integrate security into the development process. Partner with DevOps teams to implement security within CI/CD (continuous integration & delivery) pipelines for automated and seamless deployment of secure code. Develop, configure, and maintain tools for static and dynamic application security testing (SAST/DAST). Evaluate third-party software and APIs for security compliance Assist in incident response activities related to application security breaches, providing rapid identification and mitigation guidance. Ensure compliance with security regulations, frameworks, and industry standards such as OWASP. Leverage reporting tools to demonstrate the overall risk through metrics (KPIs, KRIs, OKRs) of vulnerabilities and code defects of cyber assets for various team leaders and executive leadership for risk prioritization and enablement of risk-based decision-making. Stay up to date with the latest security threats, vulnerabilities, and industry trends to inform and improve security strategies. Strong problem-solving abilities and analytical thinking. Educate developers and stakeholders on secure coding practices. Excellent communication skills to explain security issues to both technical and non-technical stakeholders. A team player with the ability to work in a collaborative, fast-paced environment. The Minimum Qualifications : Bachelor's or master's degree in computer science, Information Security, or a related field. 8+ years of experience in application security, penetration testing, or secure software development. The Ideal Qualifications: Relevant security certifications such as CEH, OSCP, CISSP, or GWAPT from an industry recognized certifier (e.g., SANS/GIAC, CompTIA, ISACA, ISC2, etc.) Strong knowledge of secure software development methodologies, including threat modeling, code reviews, and static/dynamic analysis. Strong knowledge of application security vulnerabilities and best practices (e.g., OWASP Top 10, etc.) Experience in integrating security into DevOps (DevSecOps) and CI/CD environments. Strong technical knowledge of web application security, cloud security (AWS, Azure, GCP), mobile security, infrastructure as code (IaC), containerized environments (Docker, Kubernetes), and API security. Hands-on experience with security tools such as SAST, DAST, SCA, IAST, and fuzzing tools. Deep understanding of common vulnerabilities (e.g., OWASP Top 10) and their mitigations. Advance understanding and experience with writing source code in at least one programming language (e.g., JavaScript, Java, C/C++/C#, Python, etc.) and familiarity with software security frameworks (e.g., Maven, Node, Gradle, etc.). Experience with identifying security vulnerabilities/defects in dockers, containers, and Kubernetes. Experience with cloud deployment and automation tools (Terraform, GitHub Actions, Jenkins, AWS Cloud Formation Templates, Secrets Managers). Knowledge of encryption, authentication, and access control. Knowledge of compliance and regulatory frameworks (SOC 2, etc.). Education: Bachelor's or master's degree in computer science
Job Description Job Description Job Summary: 1. Build and ship AI agents and automation harnesses as a core deliverable - not a side experiment - using tool use/function calling, multi-turn context management, and agentic design patterns (MCP, LangChain-style frameworks) 2. Use Claude, Cursor, and Codex as your primary development environment daily - build with AI, not around it, across every layer you touch 3. Evaluate and correct non-deterministic model output as a first-class engineering discipline - know what the AI wrote, where you overrode or discarded it, and what would have shipped broken if trusted blindly 4. Take a problem from rough idea to deployed, working software with minimal handoffs - writing code, shaping UX, and wiring data pipelines yourself, accelerated by AI tooling throughout 5. Design agent skills and internal AI-assisted workflows that other engineers on the team rely on and build from 6. Move across frontend, backend, data engineering, and infra within the same sprint, using AI tools to compress the time each layer normally takes 7. Design and maintain data pipelines and analytical surfaces on Databricks and AWS that non-engineers can actually use 8. Work directly with product managers and stakeholders - push back on scope, propose better (often AI-driven) solutions, and make pragmatic trade-offs without waiting to be told 9. Own architectural decisions for your product area, including when an agent/LLM-based approach is the right call versus deterministic code 10. Leave the codebase simpler than you found it - know when to abstract, inline, or simplify rather than add 11. Deploy, debug, and operate confidently in AWS without breaking production 12. Deliver outcomes that would take a conventional team 5-10x longer - the agentic/AI-native workflow itself is the reason for that multiplier, not just raw coding speed Required Skills: - AI Tooling: Claude, Cursor, Codex; LLM APIs (Anthropic, OpenAI); prompting, tool use, agent patterns, MCP - Frontend: React, TypeScript - Backend: Python or Node.js, REST/GraphQL APIs, event-driven service design - Data Engineering Databricks: (PySpark, Delta Lake, notebooks, workflows) - Cloud/Infra: AWS (S3, Lambda, Glue, Redshift), Infrastructure-as-Code (plus) - BI/Visualization: Streamlit, Tableau, Evidence (nice to have)
11/09/2026
Full time
Job Description Job Description Job Summary: 1. Build and ship AI agents and automation harnesses as a core deliverable - not a side experiment - using tool use/function calling, multi-turn context management, and agentic design patterns (MCP, LangChain-style frameworks) 2. Use Claude, Cursor, and Codex as your primary development environment daily - build with AI, not around it, across every layer you touch 3. Evaluate and correct non-deterministic model output as a first-class engineering discipline - know what the AI wrote, where you overrode or discarded it, and what would have shipped broken if trusted blindly 4. Take a problem from rough idea to deployed, working software with minimal handoffs - writing code, shaping UX, and wiring data pipelines yourself, accelerated by AI tooling throughout 5. Design agent skills and internal AI-assisted workflows that other engineers on the team rely on and build from 6. Move across frontend, backend, data engineering, and infra within the same sprint, using AI tools to compress the time each layer normally takes 7. Design and maintain data pipelines and analytical surfaces on Databricks and AWS that non-engineers can actually use 8. Work directly with product managers and stakeholders - push back on scope, propose better (often AI-driven) solutions, and make pragmatic trade-offs without waiting to be told 9. Own architectural decisions for your product area, including when an agent/LLM-based approach is the right call versus deterministic code 10. Leave the codebase simpler than you found it - know when to abstract, inline, or simplify rather than add 11. Deploy, debug, and operate confidently in AWS without breaking production 12. Deliver outcomes that would take a conventional team 5-10x longer - the agentic/AI-native workflow itself is the reason for that multiplier, not just raw coding speed Required Skills: - AI Tooling: Claude, Cursor, Codex; LLM APIs (Anthropic, OpenAI); prompting, tool use, agent patterns, MCP - Frontend: React, TypeScript - Backend: Python or Node.js, REST/GraphQL APIs, event-driven service design - Data Engineering Databricks: (PySpark, Delta Lake, notebooks, workflows) - Cloud/Infra: AWS (S3, Lambda, Glue, Redshift), Infrastructure-as-Code (plus) - BI/Visualization: Streamlit, Tableau, Evidence (nice to have)
Job Description Job Description Duties: We are seeking an experienced Application Security Engineer to join our Software Security team and take charge of ensuring the security and integrity of our software applications. The ideal candidate will have advanced knowledge of secure software development, extensive experience with identifying vulnerabilities, and the ability to implement robust security solutions. This role will require collaboration with development teams, security architects, and other stakeholders to integrate security best practices into all stages of the software development lifecycle. The Impact Your key responsibilities will consist of the following to ensure applications are resilient against emerging threats, reducing potential financial and reputational damage from security incidents. Conduct in-depth security assessments, including vulnerability scanning, and code reviews. Leverage automated tools and manual testing techniques to identify, risk assess and prioritize and propose mitigation strategies for identified threats and application-level vulnerabilities (e.g., OWASP Top 10, etc.) ensuring our applications meet security standards and reducing exposure to data breaches. Collaborate with security architects to design secure application architectures that align with industry best practices. Ensure secure coding practices are followed, and security controls are incorporated into software designs. Conduct detailed threat modeling to identify attack vectors and potential weaknesses. Collaborate with our SDLC Council to develop and maintain secure coding standards, empowering developers to integrate security into the development process. Partner with DevOps teams to implement security within CI/CD (continuous integration & delivery) pipelines for automated and seamless deployment of secure code. Assist in incident response activities related to application security breaches, providing rapid identification and mitigation guidance. Ensure compliance with security regulations, frameworks, and industry standards such as OWASP. Leverage reporting tools to demonstrate the overall risk through metrics (KPIs, KRIs, OKRs) of vulnerabilities and code defects to cyber assets for various team leaders and executive leadership for risk prioritization and enablement of risk-based decision-making. Stay up to date with the latest security threats, vulnerabilities, and industry trends to inform and improve security strategies. Strong problem-solving abilities and analytical thinking. Excellent communication skills to explain security issues to both technical and non-technical stakeholders. A team player with the ability to work in a collaborative, fast-paced environment. The Minimum Qualifications Bachelor's or master's degree in computer science, Information Security, or a related field. Minimum of 5+ years of experience in application security, penetration testing, or secure software development. The Ideal Qualifications Relevant security certifications such as CEH, OSCP, or GWAPT) from an industry recognized certifier (e.g., SANS/GIAC, CompTIA, ISACA, ISC2, etc.) Strong knowledge of secure software development methodologies, including threat modeling, code reviews, and static/dynamic analysis. Experience in integrating security into DevOps (DevSecOps) and CI/CD environments. Strong technical knowledge of web application security, cloud security (AWS, Azure, GCP), mobile security, infrastructure as code (IaC), container security, and API security. Familiarity with SAST, DAST, and IAST tools. Deep understanding of common vulnerabilities (e.g., OWASP Top 10) and their mitigations. Advanced understanding and experience with writing source code (e.g., JavaScript, Java, C/C++/C#, Python, etc.) and familiarity with software security frameworks (e.g., Maven, Node, Gradle, etc.). Experience with identifying security vulnerabilities/defects in dockers, containers, and Kubernetes. Experience with cloud deployment and automation tools (Terraform, GitHub Actions, Jenkins, AWS Cloud Formation Templates, Secrets Managers). Knowledge of compliance and regulatory frameworks (SOC 2, etc.). Education: Bachelor's or master's degree in computer science. Skills and Experience: Required Skills: MITIGATION CLOUD SECURITY METRICS SCANNING GCP Additional Skills: SOC INFORMATION SECURITY API DYNAMIC ANALYSIS C JAVA MAVEN AMAZON WEB SERVICES PROBLEM-SOLVING GITHUB DEPLOYMENT REPORTING TOOLS INCIDENT RESPONSE C/C++ CONTINUOUS INTEGRATION/DELIVERY TERRAFORM CODING DEV OPS EXCELLENT COMMUNICATION SKILLS JAVASCRIPT SOFTWARE SECURITY COMPTIA PYTHON STRUCTURED SOFTWARE GIAC SDLC JENKINS CODING STANDARDS TEAM PLAYER GRADLE KUBERNETES
11/09/2026
Full time
Job Description Job Description Duties: We are seeking an experienced Application Security Engineer to join our Software Security team and take charge of ensuring the security and integrity of our software applications. The ideal candidate will have advanced knowledge of secure software development, extensive experience with identifying vulnerabilities, and the ability to implement robust security solutions. This role will require collaboration with development teams, security architects, and other stakeholders to integrate security best practices into all stages of the software development lifecycle. The Impact Your key responsibilities will consist of the following to ensure applications are resilient against emerging threats, reducing potential financial and reputational damage from security incidents. Conduct in-depth security assessments, including vulnerability scanning, and code reviews. Leverage automated tools and manual testing techniques to identify, risk assess and prioritize and propose mitigation strategies for identified threats and application-level vulnerabilities (e.g., OWASP Top 10, etc.) ensuring our applications meet security standards and reducing exposure to data breaches. Collaborate with security architects to design secure application architectures that align with industry best practices. Ensure secure coding practices are followed, and security controls are incorporated into software designs. Conduct detailed threat modeling to identify attack vectors and potential weaknesses. Collaborate with our SDLC Council to develop and maintain secure coding standards, empowering developers to integrate security into the development process. Partner with DevOps teams to implement security within CI/CD (continuous integration & delivery) pipelines for automated and seamless deployment of secure code. Assist in incident response activities related to application security breaches, providing rapid identification and mitigation guidance. Ensure compliance with security regulations, frameworks, and industry standards such as OWASP. Leverage reporting tools to demonstrate the overall risk through metrics (KPIs, KRIs, OKRs) of vulnerabilities and code defects to cyber assets for various team leaders and executive leadership for risk prioritization and enablement of risk-based decision-making. Stay up to date with the latest security threats, vulnerabilities, and industry trends to inform and improve security strategies. Strong problem-solving abilities and analytical thinking. Excellent communication skills to explain security issues to both technical and non-technical stakeholders. A team player with the ability to work in a collaborative, fast-paced environment. The Minimum Qualifications Bachelor's or master's degree in computer science, Information Security, or a related field. Minimum of 5+ years of experience in application security, penetration testing, or secure software development. The Ideal Qualifications Relevant security certifications such as CEH, OSCP, or GWAPT) from an industry recognized certifier (e.g., SANS/GIAC, CompTIA, ISACA, ISC2, etc.) Strong knowledge of secure software development methodologies, including threat modeling, code reviews, and static/dynamic analysis. Experience in integrating security into DevOps (DevSecOps) and CI/CD environments. Strong technical knowledge of web application security, cloud security (AWS, Azure, GCP), mobile security, infrastructure as code (IaC), container security, and API security. Familiarity with SAST, DAST, and IAST tools. Deep understanding of common vulnerabilities (e.g., OWASP Top 10) and their mitigations. Advanced understanding and experience with writing source code (e.g., JavaScript, Java, C/C++/C#, Python, etc.) and familiarity with software security frameworks (e.g., Maven, Node, Gradle, etc.). Experience with identifying security vulnerabilities/defects in dockers, containers, and Kubernetes. Experience with cloud deployment and automation tools (Terraform, GitHub Actions, Jenkins, AWS Cloud Formation Templates, Secrets Managers). Knowledge of compliance and regulatory frameworks (SOC 2, etc.). Education: Bachelor's or master's degree in computer science. Skills and Experience: Required Skills: MITIGATION CLOUD SECURITY METRICS SCANNING GCP Additional Skills: SOC INFORMATION SECURITY API DYNAMIC ANALYSIS C JAVA MAVEN AMAZON WEB SERVICES PROBLEM-SOLVING GITHUB DEPLOYMENT REPORTING TOOLS INCIDENT RESPONSE C/C++ CONTINUOUS INTEGRATION/DELIVERY TERRAFORM CODING DEV OPS EXCELLENT COMMUNICATION SKILLS JAVASCRIPT SOFTWARE SECURITY COMPTIA PYTHON STRUCTURED SOFTWARE GIAC SDLC JENKINS CODING STANDARDS TEAM PLAYER GRADLE KUBERNETES
Job Description Job Description SRE Automation Analyst - (w/ active Secret) Location: Norfolk, VA Clearance: Secret Type: Full-time, Onsite Salary Range: $87,000 - $112,000 JOB DESCRIPTION Critical Solutions is seeking a SRE Automation Analyst to support our federal customer. The Site Reliability Engineering (SRE) Automation Analyst identifies, designs, implements, and supports automation solutions that improve operational efficiency, data quality, and service delivery across enterprise environments. The role partners with technical teams and business stakeholders to analyze manual or repetitive processes, define automation opportunities, document requirements, develop and test workflows, and measure realized benefits. The analyst will use scripting, workflow/RPA platforms, APIs, configuration-management and CI/CD tools, and approved AI/large language model (LLM) capabilities while ensuring solutions meet cybersecurity, compliance, and operational requirements PRIMARY ROLES AND RESPONSIBILITIES: Analyze business and technical processes to identify automation opportunities, document current-state and future-state workflows, and prioritize candidates based on value, feasibility, risk, and repeatability. Gather and translate stakeholder requirements into automation use cases, functional requirements, acceptance criteria, process maps, and implementation plans. Design, develop, test, deploy, and maintain automation using PowerShell, Python, Microsoft Power Automate, UiPath, REST APIs, or comparable workflow/orchestration technologies. Integrate automation with enterprise systems, data sources, ticketing platforms, cloud services, and APIs using secure authentication, structured data formats, reusable components, and appropriate exception handling. Support configuration-management and CI/CD practices using tools such as Ansible, Jenkins, Bitbucket, Git, or comparable platforms for version control, automated testing, deployment, and change traceability. Leverage approved AI and LLM capabilities for automation use cases such as classification, summarization, information extraction, workflow assistance, and decision support with appropriate human review and security controls. Monitor automation performance, failures, utilization, and realized benefits; troubleshoot defects; perform root-cause analysis; and implement improvements that increase reliability, efficiency, and adoption. Develop metrics and dashboards; maintain technical documentation, SOPs, solution diagrams, test evidence, runbooks, and automation inventories; and coordinate with cybersecurity, infrastructure, application, data, and operations teams throughout the solution lifecycle. BASIC QUALIFICATIONS: Must be a U.S. citizen and possess an active DoD Secret Security Clearance or higher. Must possess an IAT Level II-compliant certification (for example, CompTIA Security+ CE or an equivalent certification accepted for the position/contract). Bachelor's degree in Information Technology, Computer Science, Information Systems, Engineering, Data/Business Analytics, or a related discipline, or equivalent relevant professional experience in lei Experience in automation, process improvement, systems analysis, scripting, application support, IT operations, data analysis, or a related technical role. Working knowledge of PowerShell and/or Python and workflow automation concepts, including the ability to read, modify, test, and troubleshoot scripts or automated workflows; familiarity with Microsoft Power Automate, UiPath, or a comparable platform is beneficial. Experience gathering requirements, analyzing manual processes, documenting business rules and automation opportunities, defining acceptance criteria, and communicating solutions to technical and non-technical stakeholders. Working knowledge of systems integration and software delivery concepts, including REST APIs, JSON, authentication methods, Git-based source control such as Bitbucket, and basic CI/CD practices. Strong analytical, troubleshooting, documentation, and problem-solving skills with the ability to manage multiple priorities in a mission-critical environment. Working familiarity with AI and large language model concepts and the responsible use of AI-enabled tools in technical or business workflows, including prompt design, output validation, and human review. CERTIFICATION REQUIREMENT: Must possess an active IAT Level II-compliant certification (for example, CompTIA Security+ CE or an equivalent certification accepted for the position/contract). PREFERRED QUALIFICATIONS: Business intelligence or analytics background, including experience developing dashboards, operational metrics, or reports using Power BI and/or Splunk. Microsoft Azure Administrator Associate (AZ-104) certification and practical experience with Azure services, identity, monitoring, automation, or hybrid cloud environments. Experience with enterprise automation or robotic process automation (RPA) platforms such as Microsoft Power Automate, UiPath, Automation Anywhere, or ServiceNow Flow Designer/Automation Engine. Hands-on experience with configuration-management, orchestration, CI/CD, and collaboration tools such as Ansible, Jenkins, Bitbucket, Git, Azure DevOps, or comparable platforms. Experience designing reusable automation components, API-driven integrations, scheduled or event-driven workflows, logging, alerting, exception handling, and automated recovery processes. Experience leveraging enterprise-approved AI/LLM services and models such as Microsoft Copilot, Azure OpenAI/GPT models, OpenAI GPT models, Anthropic Claude, or Google Gemini for automation, information extraction, summarization, classification, or workflow assistance. Experience integrating AI into automated workflows using APIs, prompt templates, structured outputs, retrieval/grounding techniques, and human-in-the-loop review; familiarity with responsible-AI practices, data handling, access control, privacy, and model-output validation. Familiarity with Security Technical Implementation Guides (STIGs), the Risk Management Framework (RMF), vulnerability management, cybersecurity controls, and applicable compliance frameworks in DoD or regulated environments. Experience working in classified or unclassified DoD/government environments and supporting solutions subject to formal change, configuration, release, and audit requirements. Experience with SQL, data transformation, ETL/ELT concepts, Agile/DevOps delivery practices, and/or relevant automation, cloud, analytics, or platform certifications such as Microsoft Power Platform, UiPath, Azure, or Splunk. LOCATION: On-site 100%. Norfolk, VA ADDITIONAL INFORMATION: CLEARANCE REQUIREMENT: Must possess an active DoD Secret Clearance . In addition, selected candidate must undergo background investigation (BI) and finger printing by the federal agency and successfully pass the preceding to qualify for the position. US CITIZENSHIP IS REQUIRED. CRITICAL SOLUTIONS PAY AND BENEFITS: Salary range $87,00 - $112,000. The salary range for this position represent the typical salary range for this job level and this does not guarantee a specific salary. Compensation is based upon multiple factors such as responsibilities of the job, education, experience, knowledge, skills, certifications, and other requirements. BENEFIT SNAPSHOT: 100% premium coverage for Medical, Dental, Vision, and Life Insurance, Supplemental Insurance, 401K matching, Flexible Time Off (PTO/Holidays), Higher Education/Training Reimbursement, and more. Job Posted by ApplicantPro
11/09/2026
Full time
Job Description Job Description SRE Automation Analyst - (w/ active Secret) Location: Norfolk, VA Clearance: Secret Type: Full-time, Onsite Salary Range: $87,000 - $112,000 JOB DESCRIPTION Critical Solutions is seeking a SRE Automation Analyst to support our federal customer. The Site Reliability Engineering (SRE) Automation Analyst identifies, designs, implements, and supports automation solutions that improve operational efficiency, data quality, and service delivery across enterprise environments. The role partners with technical teams and business stakeholders to analyze manual or repetitive processes, define automation opportunities, document requirements, develop and test workflows, and measure realized benefits. The analyst will use scripting, workflow/RPA platforms, APIs, configuration-management and CI/CD tools, and approved AI/large language model (LLM) capabilities while ensuring solutions meet cybersecurity, compliance, and operational requirements PRIMARY ROLES AND RESPONSIBILITIES: Analyze business and technical processes to identify automation opportunities, document current-state and future-state workflows, and prioritize candidates based on value, feasibility, risk, and repeatability. Gather and translate stakeholder requirements into automation use cases, functional requirements, acceptance criteria, process maps, and implementation plans. Design, develop, test, deploy, and maintain automation using PowerShell, Python, Microsoft Power Automate, UiPath, REST APIs, or comparable workflow/orchestration technologies. Integrate automation with enterprise systems, data sources, ticketing platforms, cloud services, and APIs using secure authentication, structured data formats, reusable components, and appropriate exception handling. Support configuration-management and CI/CD practices using tools such as Ansible, Jenkins, Bitbucket, Git, or comparable platforms for version control, automated testing, deployment, and change traceability. Leverage approved AI and LLM capabilities for automation use cases such as classification, summarization, information extraction, workflow assistance, and decision support with appropriate human review and security controls. Monitor automation performance, failures, utilization, and realized benefits; troubleshoot defects; perform root-cause analysis; and implement improvements that increase reliability, efficiency, and adoption. Develop metrics and dashboards; maintain technical documentation, SOPs, solution diagrams, test evidence, runbooks, and automation inventories; and coordinate with cybersecurity, infrastructure, application, data, and operations teams throughout the solution lifecycle. BASIC QUALIFICATIONS: Must be a U.S. citizen and possess an active DoD Secret Security Clearance or higher. Must possess an IAT Level II-compliant certification (for example, CompTIA Security+ CE or an equivalent certification accepted for the position/contract). Bachelor's degree in Information Technology, Computer Science, Information Systems, Engineering, Data/Business Analytics, or a related discipline, or equivalent relevant professional experience in lei Experience in automation, process improvement, systems analysis, scripting, application support, IT operations, data analysis, or a related technical role. Working knowledge of PowerShell and/or Python and workflow automation concepts, including the ability to read, modify, test, and troubleshoot scripts or automated workflows; familiarity with Microsoft Power Automate, UiPath, or a comparable platform is beneficial. Experience gathering requirements, analyzing manual processes, documenting business rules and automation opportunities, defining acceptance criteria, and communicating solutions to technical and non-technical stakeholders. Working knowledge of systems integration and software delivery concepts, including REST APIs, JSON, authentication methods, Git-based source control such as Bitbucket, and basic CI/CD practices. Strong analytical, troubleshooting, documentation, and problem-solving skills with the ability to manage multiple priorities in a mission-critical environment. Working familiarity with AI and large language model concepts and the responsible use of AI-enabled tools in technical or business workflows, including prompt design, output validation, and human review. CERTIFICATION REQUIREMENT: Must possess an active IAT Level II-compliant certification (for example, CompTIA Security+ CE or an equivalent certification accepted for the position/contract). PREFERRED QUALIFICATIONS: Business intelligence or analytics background, including experience developing dashboards, operational metrics, or reports using Power BI and/or Splunk. Microsoft Azure Administrator Associate (AZ-104) certification and practical experience with Azure services, identity, monitoring, automation, or hybrid cloud environments. Experience with enterprise automation or robotic process automation (RPA) platforms such as Microsoft Power Automate, UiPath, Automation Anywhere, or ServiceNow Flow Designer/Automation Engine. Hands-on experience with configuration-management, orchestration, CI/CD, and collaboration tools such as Ansible, Jenkins, Bitbucket, Git, Azure DevOps, or comparable platforms. Experience designing reusable automation components, API-driven integrations, scheduled or event-driven workflows, logging, alerting, exception handling, and automated recovery processes. Experience leveraging enterprise-approved AI/LLM services and models such as Microsoft Copilot, Azure OpenAI/GPT models, OpenAI GPT models, Anthropic Claude, or Google Gemini for automation, information extraction, summarization, classification, or workflow assistance. Experience integrating AI into automated workflows using APIs, prompt templates, structured outputs, retrieval/grounding techniques, and human-in-the-loop review; familiarity with responsible-AI practices, data handling, access control, privacy, and model-output validation. Familiarity with Security Technical Implementation Guides (STIGs), the Risk Management Framework (RMF), vulnerability management, cybersecurity controls, and applicable compliance frameworks in DoD or regulated environments. Experience working in classified or unclassified DoD/government environments and supporting solutions subject to formal change, configuration, release, and audit requirements. Experience with SQL, data transformation, ETL/ELT concepts, Agile/DevOps delivery practices, and/or relevant automation, cloud, analytics, or platform certifications such as Microsoft Power Platform, UiPath, Azure, or Splunk. LOCATION: On-site 100%. Norfolk, VA ADDITIONAL INFORMATION: CLEARANCE REQUIREMENT: Must possess an active DoD Secret Clearance . In addition, selected candidate must undergo background investigation (BI) and finger printing by the federal agency and successfully pass the preceding to qualify for the position. US CITIZENSHIP IS REQUIRED. CRITICAL SOLUTIONS PAY AND BENEFITS: Salary range $87,00 - $112,000. The salary range for this position represent the typical salary range for this job level and this does not guarantee a specific salary. Compensation is based upon multiple factors such as responsibilities of the job, education, experience, knowledge, skills, certifications, and other requirements. BENEFIT SNAPSHOT: 100% premium coverage for Medical, Dental, Vision, and Life Insurance, Supplemental Insurance, 401K matching, Flexible Time Off (PTO/Holidays), Higher Education/Training Reimbursement, and more. Job Posted by ApplicantPro
Job Description Job Description Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Skills Automation Playwright Java Automation Testing Playwright Java API Testing CI/CD Agile Test Framework Development Responsibilities Design, develop, and maintain scalable automation frameworks using Playwright with Java . Create, execute, and maintain automated test scripts for functional, regression, integration, and end-to-end testing of web applications. Collaborate with developers, product owners, business analysts, and QA teams to understand requirements and define comprehensive test strategies. Develop reusable automation components and utilities to improve testing efficiency and coverage. Integrate automated test suites into CI/CD pipelines and ensure seamless automated execution. Perform API testing and validation using industry-standard tools and frameworks. Review application requirements and technical specifications to identify test scenarios and automation opportunities. Analyze test results, identify defects, and work closely with development teams to drive issue resolution. Conduct code reviews and enforce automation best practices, coding standards, and quality processes. Monitor automation execution, generate test reports, and provide regular status updates to stakeholders. Mentor junior automation engineers and contribute to continuous improvement initiatives. Stay current with emerging automation technologies, testing trends, and industry best practices. Qualifications We Seek In You Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Strong hands-on experience in Java programming . Extensive experience in test automation using Playwright with Java . Experience in designing and developing automation frameworks from scratch. Strong understanding of software testing methodologies, test lifecycle, and quality assurance principles. Experience with API testing tools such as Postman, REST Assured, or similar. Familiarity with CI/CD tools such as Jenkins, Azure DevOps, GitHub Actions, or GitLab CI. Strong knowledge of version control systems such as Git. Experience working in Agile/Scrum environments. Excellent analytical, debugging, and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with cross-functional teams and stakeholders. Preferred Qualifications Experience with cloud-based testing platforms and modern DevOps practices. Hands-on experience with performance testing and test reporting tools. Knowledge of containerization technologies such as Docker and Kubernetes. Experience integrating automation suites with test management and defect tracking tools such as Jira and Confluence. ISTQB or other relevant testing certifications are a plus. Prior experience leading automation initiatives or mentoring QA teams. Exposure to AI-assisted testing tools and modern quality engineering practices. Ideal Candidate Profile The ideal candidate will have strong expertise in Playwright Automation with Java , proven experience building robust automation frameworks, excellent problem-solving abilities, and the capability to drive quality engineering practices across the software development lifecycle. Ampcus 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, age, protected veterans or individuals with disabilities.
11/09/2026
Full time
Job Description Job Description Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Skills Automation Playwright Java Automation Testing Playwright Java API Testing CI/CD Agile Test Framework Development Responsibilities Design, develop, and maintain scalable automation frameworks using Playwright with Java . Create, execute, and maintain automated test scripts for functional, regression, integration, and end-to-end testing of web applications. Collaborate with developers, product owners, business analysts, and QA teams to understand requirements and define comprehensive test strategies. Develop reusable automation components and utilities to improve testing efficiency and coverage. Integrate automated test suites into CI/CD pipelines and ensure seamless automated execution. Perform API testing and validation using industry-standard tools and frameworks. Review application requirements and technical specifications to identify test scenarios and automation opportunities. Analyze test results, identify defects, and work closely with development teams to drive issue resolution. Conduct code reviews and enforce automation best practices, coding standards, and quality processes. Monitor automation execution, generate test reports, and provide regular status updates to stakeholders. Mentor junior automation engineers and contribute to continuous improvement initiatives. Stay current with emerging automation technologies, testing trends, and industry best practices. Qualifications We Seek In You Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Strong hands-on experience in Java programming . Extensive experience in test automation using Playwright with Java . Experience in designing and developing automation frameworks from scratch. Strong understanding of software testing methodologies, test lifecycle, and quality assurance principles. Experience with API testing tools such as Postman, REST Assured, or similar. Familiarity with CI/CD tools such as Jenkins, Azure DevOps, GitHub Actions, or GitLab CI. Strong knowledge of version control systems such as Git. Experience working in Agile/Scrum environments. Excellent analytical, debugging, and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with cross-functional teams and stakeholders. Preferred Qualifications Experience with cloud-based testing platforms and modern DevOps practices. Hands-on experience with performance testing and test reporting tools. Knowledge of containerization technologies such as Docker and Kubernetes. Experience integrating automation suites with test management and defect tracking tools such as Jira and Confluence. ISTQB or other relevant testing certifications are a plus. Prior experience leading automation initiatives or mentoring QA teams. Exposure to AI-assisted testing tools and modern quality engineering practices. Ideal Candidate Profile The ideal candidate will have strong expertise in Playwright Automation with Java , proven experience building robust automation frameworks, excellent problem-solving abilities, and the capability to drive quality engineering practices across the software development lifecycle. Ampcus 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, age, protected veterans or individuals with disabilities.
Overview INFORMATION TECHNOLOGY: GreenState's Information Technology department adheres to the corporate values and acts as a business partner who understands the needs of the business, enables business units to meet strategic objectives through technology, and provides employees and members with quality technology platforms that are always available, always relevant, and always scalable. As a Manager Systems Administration you will be directly responsible for providing hands on leadership of Green State's Business Systems Administrators within the IT Engineering organization. This exciting team is responsible for supplying operational excellence as it relates to the oversight of our member facing and internal applications. This includes supporting strong execution through the different phases of the Software Development Lifecycle and collaboration with our business partners. In this role, you will enhance solutions architecture and oversee Agile development practices for our administration scrum teams to drive organizational and operational changes. GREENSTATE CULTURE: At GreenState, our purpose is to create lasting value for our members, our communities, and one another. We empower our teams to create opportunities that strengthen financial well-being, transform lives, and enhance the vitality of the communities we serve. We know our success-now and in the future-is deeply rooted in fostering an engaging, diverse, and inclusive workplace where everyone knows they matter, their work makes an impact, and their everyday commitment to living our values is what brings our mission to life. Salary range for this position is $137,492.42 - $160,744.48 with a progressive benefit package. Responsibilities Performs essential duties and responsibilities in the following areas which may include but are not limited to those listed and are subject to change. Adheres to the Credit Union's core values and Service Standards in conducting GreenState's mission and vision. Demonstrates a positive member service (internal and external) focus at all times. Demonstrates teamwork in all interactions with coworkers and in the completion of all duties and responsibilities. Ensures confidentiality of member information. Supports a diverse and inclusive work environment. Responsible for leading the end-to-end delivery and maintenance, installation, and configurations of Green State's applications/s Collaborates with stakeholders and end-users to understand and interpret business needs. Manages the entire application lifecycle, from technical requirements through deployment, ensuring efficient and reliable operations Effectively manages and delivers work requests and projects within the committed budget, schedule and with high quality Supports a collaborative environment while putting the right urgency on issues as it relates to vendor supplied set ups Maintains commitments to enhancing end user experiences and optimizing efficiency through the use of automation Identifies technical obstacles or deficiencies early and work closely with the team to find creative solutions Collaborates and shares knowledge to create effective and innovative solutions to problems. Create a culture that lends itself to technology advancement while balancing security and safeguarding information Identifies emerging technologies and trends that could drive more effective solutions and future proof applications Consistently assess and refines development processes and methods to improve team performance, efficiency and product quality Ensure Agile standard processes are followed and continuously improved Ensure technology solutions align with architectural and evolving security standards and application changes are led smoothly, adhering to standard processes and ensuring minimal disruption to business operations Manages the consolidation of alerting, monitoring, maintenance, and support processes to scale and enforce consistency across teams Supports the team in allocating resources effectivity and efficiently in order to support GreenState's strategic plan Maintains a highly motivated, well-trained staff, maintaining effective employee relations and coaching. Qualifications Bachelor's degree in STEM or MBA required. Master's degree in Computer Engineering/Computer Science preferred. Agile Certifications (PO, SM, CAP, or other) Preferred Minimum of 6 years of experience leading engineering teams that develop or administer user interface software. Six Sigma/PMP Preferred Demonstrated experience recuring and managing technical teams, including performance management. Proven experience leading and developing IT teams, with a strong focus on leadership, mentorship, and team development Leadership experience managing multiple cross-functional teams or projects and influencing senior-level management and key collaborators. Advanced technical and business knowledge in software development life cycle, quality assurance, project management, and other related fields/processes Well-versed in Agile development and requirements management processes Proficiency in a wide variety of servers and applications with the ability to rapidly adapt to emerging technologies. Includes both on-prem and cloud private/public cloud hosted applications. Demonstrated ability to take ownership of work, work autonomously with minimal oversight, and be proactive with communications and task prioritization. Ability to manage through ambiguity, build alignment, and create buy-in with cross-functional teams. Passionate about engineering best practices and leading by example Must be legally authorized to work in the United States for any employer without sponsorship PI2473bb819e92-9094
11/09/2026
Full time
Overview INFORMATION TECHNOLOGY: GreenState's Information Technology department adheres to the corporate values and acts as a business partner who understands the needs of the business, enables business units to meet strategic objectives through technology, and provides employees and members with quality technology platforms that are always available, always relevant, and always scalable. As a Manager Systems Administration you will be directly responsible for providing hands on leadership of Green State's Business Systems Administrators within the IT Engineering organization. This exciting team is responsible for supplying operational excellence as it relates to the oversight of our member facing and internal applications. This includes supporting strong execution through the different phases of the Software Development Lifecycle and collaboration with our business partners. In this role, you will enhance solutions architecture and oversee Agile development practices for our administration scrum teams to drive organizational and operational changes. GREENSTATE CULTURE: At GreenState, our purpose is to create lasting value for our members, our communities, and one another. We empower our teams to create opportunities that strengthen financial well-being, transform lives, and enhance the vitality of the communities we serve. We know our success-now and in the future-is deeply rooted in fostering an engaging, diverse, and inclusive workplace where everyone knows they matter, their work makes an impact, and their everyday commitment to living our values is what brings our mission to life. Salary range for this position is $137,492.42 - $160,744.48 with a progressive benefit package. Responsibilities Performs essential duties and responsibilities in the following areas which may include but are not limited to those listed and are subject to change. Adheres to the Credit Union's core values and Service Standards in conducting GreenState's mission and vision. Demonstrates a positive member service (internal and external) focus at all times. Demonstrates teamwork in all interactions with coworkers and in the completion of all duties and responsibilities. Ensures confidentiality of member information. Supports a diverse and inclusive work environment. Responsible for leading the end-to-end delivery and maintenance, installation, and configurations of Green State's applications/s Collaborates with stakeholders and end-users to understand and interpret business needs. Manages the entire application lifecycle, from technical requirements through deployment, ensuring efficient and reliable operations Effectively manages and delivers work requests and projects within the committed budget, schedule and with high quality Supports a collaborative environment while putting the right urgency on issues as it relates to vendor supplied set ups Maintains commitments to enhancing end user experiences and optimizing efficiency through the use of automation Identifies technical obstacles or deficiencies early and work closely with the team to find creative solutions Collaborates and shares knowledge to create effective and innovative solutions to problems. Create a culture that lends itself to technology advancement while balancing security and safeguarding information Identifies emerging technologies and trends that could drive more effective solutions and future proof applications Consistently assess and refines development processes and methods to improve team performance, efficiency and product quality Ensure Agile standard processes are followed and continuously improved Ensure technology solutions align with architectural and evolving security standards and application changes are led smoothly, adhering to standard processes and ensuring minimal disruption to business operations Manages the consolidation of alerting, monitoring, maintenance, and support processes to scale and enforce consistency across teams Supports the team in allocating resources effectivity and efficiently in order to support GreenState's strategic plan Maintains a highly motivated, well-trained staff, maintaining effective employee relations and coaching. Qualifications Bachelor's degree in STEM or MBA required. Master's degree in Computer Engineering/Computer Science preferred. Agile Certifications (PO, SM, CAP, or other) Preferred Minimum of 6 years of experience leading engineering teams that develop or administer user interface software. Six Sigma/PMP Preferred Demonstrated experience recuring and managing technical teams, including performance management. Proven experience leading and developing IT teams, with a strong focus on leadership, mentorship, and team development Leadership experience managing multiple cross-functional teams or projects and influencing senior-level management and key collaborators. Advanced technical and business knowledge in software development life cycle, quality assurance, project management, and other related fields/processes Well-versed in Agile development and requirements management processes Proficiency in a wide variety of servers and applications with the ability to rapidly adapt to emerging technologies. Includes both on-prem and cloud private/public cloud hosted applications. Demonstrated ability to take ownership of work, work autonomously with minimal oversight, and be proactive with communications and task prioritization. Ability to manage through ambiguity, build alignment, and create buy-in with cross-functional teams. Passionate about engineering best practices and leading by example Must be legally authorized to work in the United States for any employer without sponsorship PI2473bb819e92-9094
Job Description Job Description We are looking for a Technical Support Team Lead to join our Technical Support Team in Atlanta. This team is responsible for providing support and service to our clients merchants, as well as being an internal technical focal point. You will be responsible for the day-to-day management of our Application Support Engineers, ensuring that production issues are resolved quickly and professionally. Responsibilities Manage the application support engineers, providing line management, mentoring and engagement. Establish work procedures and policies according to department standards. Set, monitor, and manage team targets to ensure KPI and SLA achievement. Ensure ticket queues are managed effectively across Zendesk and JIRA. Raise support-related concerns, issues, and improvement feedback to management. Promote self-service plans to reduce inbound ticket volume. Provide technical support to customers and serve as an escalation point both internally and externally. Handle any escalations that require immediate attention from management. Work collaboratively and cross-functionally with other departments. Present team performance reports and conduct team member performance evaluations. Maximize productivity and ensure the team is highly motivated. Requirement: 3+ years of experience in an Application Support Lead/Managerial role. Experience in people management and technical direction. Demonstrable experience of leading a successful team with the ability to motivate and deliver results on a consistent basis. Experience in providing services to agreed SLA's/OLA's. Experience in Problem and Incident Management according to ITIL standards. Ability to work in a fast-paced environment. Experience with managing root cause analysis and incident reports. Excellent interpersonal and communication skills. Experience working in customer service environments, with a strong understanding of customer support standards and service-oriented communication. Prior development experience or previous experience in an eCommerce environment is a strong advantage. Experience as an Application Support Engineer supporting, maintaining, and enhancing enterprise applications. Proven ability to troubleshoot, analyze, and resolve issues in C#/.NET Framework applications, utilizing code analysis, debugging techniques, and AI-assisted development tools such as Cursor. Troubleshoot applications using their Application Programming Interfaces (APIs) Hands-on experience with scripting and automation using PowerShell, Python, and JavaScript.
11/09/2026
Full time
Job Description Job Description We are looking for a Technical Support Team Lead to join our Technical Support Team in Atlanta. This team is responsible for providing support and service to our clients merchants, as well as being an internal technical focal point. You will be responsible for the day-to-day management of our Application Support Engineers, ensuring that production issues are resolved quickly and professionally. Responsibilities Manage the application support engineers, providing line management, mentoring and engagement. Establish work procedures and policies according to department standards. Set, monitor, and manage team targets to ensure KPI and SLA achievement. Ensure ticket queues are managed effectively across Zendesk and JIRA. Raise support-related concerns, issues, and improvement feedback to management. Promote self-service plans to reduce inbound ticket volume. Provide technical support to customers and serve as an escalation point both internally and externally. Handle any escalations that require immediate attention from management. Work collaboratively and cross-functionally with other departments. Present team performance reports and conduct team member performance evaluations. Maximize productivity and ensure the team is highly motivated. Requirement: 3+ years of experience in an Application Support Lead/Managerial role. Experience in people management and technical direction. Demonstrable experience of leading a successful team with the ability to motivate and deliver results on a consistent basis. Experience in providing services to agreed SLA's/OLA's. Experience in Problem and Incident Management according to ITIL standards. Ability to work in a fast-paced environment. Experience with managing root cause analysis and incident reports. Excellent interpersonal and communication skills. Experience working in customer service environments, with a strong understanding of customer support standards and service-oriented communication. Prior development experience or previous experience in an eCommerce environment is a strong advantage. Experience as an Application Support Engineer supporting, maintaining, and enhancing enterprise applications. Proven ability to troubleshoot, analyze, and resolve issues in C#/.NET Framework applications, utilizing code analysis, debugging techniques, and AI-assisted development tools such as Cursor. Troubleshoot applications using their Application Programming Interfaces (APIs) Hands-on experience with scripting and automation using PowerShell, Python, and JavaScript.
Description: Base Hourly Range : $60,000-$80,000 Reports to: Engineering Mgr or CAD Administrator Annual Bonus : No Direct Reports : None Remote: No Status : Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: I ntegrity P ride A ccountability C ustomer Service T eamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Provide support to the engineer design teams through design and drawing creation for components, assemblies, project documentation, and the Pacteon quality system. Provide direction and guidance to Shop, Assembly, and Electrical personnel as required Owner of all tasks associated with machine manual generation Deepen the understanding of products, customers, goals, organization, and business strategies, evaluating systems and processes, and identifying improvement needs. Develop and implement processes that improve engineering and manufacturing production and deliver quality outputs. Meet Schneider's quality standards while maintaining working knowledge of relevant technologies and best practices. KEY RESPONSIBILITIES Equipment Design Assist Mechanical design teams through the design and drafting of machine components using established design standards, design blocks and project requirements. Assist Controls design teams through the design and drafting of electrical drawings, blocks, updating red marks, UL checks, and other project requirements. Complete machine documentation (machine manual, installation guides, and as requested by Design Team. Contribute, as a member of a team of design professionals, to achieve project, department, and company goals. Work on multiple, simultaneous projects within multiple design teams. Communication Communicate in a manner that assures clarity and understanding with both internal and external customers. Collaborates with controls engineers to gather screenshots needed to complete manuals Attend department and process driven meetings as requested. Recommend improvements in the company's offerings and work procedures utilizing the Action Request and EAR process. Travel required may include field support for customers to ensure satisfactory operation of machines, vendor support, training and/or trade show support. Approximately 5-10%. Must maintain valid enhanced driver's license and/or passport for travel. Build professional skill through continued training, education, and networking events. Perform other related duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: o AS in Mechanical Technology or equivalent. Experience: o 2+ years of experience in a design-build manufacturing environment as an engineer with management responsibilities. o Project management experience preferred. Skills: o Advanced training/education in engineering, leadership and project management preferred. o Microsoft technology and relevant design and life cycle management software. o Proven ability to work in a cross functional team environment. o Highly effective time management, personal organization, and communication skills. o Demonstrates strong attention to detail while multi-tasking to achieve quality, timely completions of tasks. o A "Results Oriented" attitude coupled with a strong sense of accountability. Employment Conditions: o Valid driver's license and acceptable motor vehicle record. PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Compensation details: 0 Yearly Salary PI9060da2f5-
11/09/2026
Full time
Description: Base Hourly Range : $60,000-$80,000 Reports to: Engineering Mgr or CAD Administrator Annual Bonus : No Direct Reports : None Remote: No Status : Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: I ntegrity P ride A ccountability C ustomer Service T eamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Provide support to the engineer design teams through design and drawing creation for components, assemblies, project documentation, and the Pacteon quality system. Provide direction and guidance to Shop, Assembly, and Electrical personnel as required Owner of all tasks associated with machine manual generation Deepen the understanding of products, customers, goals, organization, and business strategies, evaluating systems and processes, and identifying improvement needs. Develop and implement processes that improve engineering and manufacturing production and deliver quality outputs. Meet Schneider's quality standards while maintaining working knowledge of relevant technologies and best practices. KEY RESPONSIBILITIES Equipment Design Assist Mechanical design teams through the design and drafting of machine components using established design standards, design blocks and project requirements. Assist Controls design teams through the design and drafting of electrical drawings, blocks, updating red marks, UL checks, and other project requirements. Complete machine documentation (machine manual, installation guides, and as requested by Design Team. Contribute, as a member of a team of design professionals, to achieve project, department, and company goals. Work on multiple, simultaneous projects within multiple design teams. Communication Communicate in a manner that assures clarity and understanding with both internal and external customers. Collaborates with controls engineers to gather screenshots needed to complete manuals Attend department and process driven meetings as requested. Recommend improvements in the company's offerings and work procedures utilizing the Action Request and EAR process. Travel required may include field support for customers to ensure satisfactory operation of machines, vendor support, training and/or trade show support. Approximately 5-10%. Must maintain valid enhanced driver's license and/or passport for travel. Build professional skill through continued training, education, and networking events. Perform other related duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: o AS in Mechanical Technology or equivalent. Experience: o 2+ years of experience in a design-build manufacturing environment as an engineer with management responsibilities. o Project management experience preferred. Skills: o Advanced training/education in engineering, leadership and project management preferred. o Microsoft technology and relevant design and life cycle management software. o Proven ability to work in a cross functional team environment. o Highly effective time management, personal organization, and communication skills. o Demonstrates strong attention to detail while multi-tasking to achieve quality, timely completions of tasks. o A "Results Oriented" attitude coupled with a strong sense of accountability. Employment Conditions: o Valid driver's license and acceptable motor vehicle record. PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Compensation details: 0 Yearly Salary PI9060da2f5-
You're already the person your team turns to when the toughest issues land. Now it's time to lead the desk, develop the team, and help fix what keeps breaking. Weidenhammer is looking for an IT Operations Technical Lead to lead our Cloud & Infrastructure Service Desk while staying hands-on as the senior escalation point across Microsoft 365, Azure, Entra ID, Windows Server, virtualization, networking, backup and disaster recovery, and security. You'll coach and develop service desk analysts and engineers, lead the response when major incidents occur, and drive problem management to eliminate recurring issues at the root. Just as importantly, you'll help shape how we use smarter monitoring, automation, and AI-assisted tools to continually improve the way we deliver managed services to our clients. Have ideas for making operations better? Good. We want them. This is an opportunity to do more than resolve the next ticket. You'll have the ability to improve processes, strengthen the team, and help build a more proactive and efficient service environment. Why Weidenhammer? For nearly 50 years, Weidenhammer has helped middle-market organizations modernize technology, strengthen cybersecurity, and put data and AI to work. We're a senior-led, outcome-driven Microsoft partner with 100+ professionals delivering managed services, cloud, and hosting solutions from our data center footprint in Collegeville, PA, backed by a disaster recovery site in Chandler, AZ. Our technical leads get real responsibility, broad technology exposure, and the opportunity to make an impact. We believe in solving problems the right way, investing in better tools and automation, and creating an environment where people learn from one another and grow. Some of our best professionals started on the service desk and continued building their careers from there. We also offer a competitive benefits package that includes medical, dental, and vision insurance, a 401(k), paid time off, paid parental leave, training and development opportunities, paid volunteer time, wellness programs, and hybrid flexibility. Ready to stop just solving the toughest problems and start leading the way forward? The IT Operations Technical Manager leads the Cloud and Infrastructure Service Desk and serves as the senior hands-on technical escalation point for the operations team supporting Weidenhammer clients. The role combines advanced troubleshooting, technical mentoring, platform administration, documentation, and service improvement across client infrastructure, cloud, identity, endpoint, network, backup, monitoring, and security technologies. Working closely with the Cloud and Infrastructure team, the Manager may be assigned to do complete any of the following: support, mentor, and manage service desk team members, diagnose complex problems, coordinate technical responses during high-impact incidents, validate changes, strengthen monitoring and automation, and ensure new solutions are secure, supportable, and well documented before they enter ongoing support. Essential Functions Manage the Cloud and Infrastructure Service Desk and serve as the senior technical escalation resource for complex incidents and service requests across Microsoft 365, Azure, Windows Server, virtualization, networking, identity, endpoint management, backup, recovery, monitoring, and security operations. Lead structured troubleshooting and root-cause analysis, using logs, telemetry, configuration data, monitoring platforms, and vendor resources to isolate issues and restore service. Provide hands-on technical guidance and coaching to Service Desk Analysts, System Administrators, and Engineers; review troubleshooting approaches, recommend next steps, and strengthen team capability. Coordinate the technical response during major incidents, including triage, workstream assignment, vendor escalation, recovery validation, technical updates, and post-incident corrective actions. Administer, configure, and improve the platforms used to monitor, manage, secure, document, and support client environments within approved access and change-control practices. Develop and maintain technical standards, configuration baselines, build documentation, runbooks, knowledge articles, diagrams, and escalation procedures, along with accurate configuration, asset, licensing, and subscription records in approved service-management and documentation platforms. Review monitoring coverage, alert quality, thresholds, and response procedures to reduce noise and improve early detection of client-impacting conditions. Lead problem management for recurring or high-impact issues, analyzing incident trends, alert patterns, capacity concerns, and platform health data, and implement durable corrective actions (standardized configurations, automation, tool consolidation, documentation, or architectural recommendations) prioritized by risk and client impact. Perform and validate complex changes, maintenance activities, upgrades, migrations, and remediation work, including risk assessment, testing, communication, and rollback planning. Partner with security teams to operationalize identity protection, endpoint security, patching, vulnerability remediation, privileged-access controls, backup and recovery, certificate and lifecycle management, logging, incident response, and evidence requirements across managed environments. Use scripting, workflow automation, APIs, and AI-assisted tools to improve troubleshooting, reporting, configuration consistency, documentation, and repetitive operational work, with appropriate review and governance. Participate in solution reviews and project handoffs and provide technical oversight for transitioning new and changed services into support, identifying supportability concerns, technical debt, and security risks, and validating documentation, monitoring, access, security controls, backup, support ownership, and operational readiness before acceptance. Explain technical conditions, business impact, risks, and recommend next steps in clear language to clients and internal stakeholders, and coordinate with technology vendors and partners, carriers, and third-party support organizations to resolve product defects, service issues, licensing concerns, and complex escalations. Maintain deep working knowledge of the managed-services technology portfolio and pursue role-aligned learning and certifications that support client and service needs. Contribute technical input to client onboarding, assessments, service reviews, proposals, and scope validation when operational expertise is required. Assist with after-hours maintenance and participate in the technical escalation rotation for critical client issues as required. Promote disciplined use of incident, request, problem, change, configuration, knowledge, and continual-improvement practices across the team. Competencies Practical knowledge of IT service management, including incident, major incident, problem, change, request, configuration, knowledge, and continual-improvement practices and the technical evidence required to support them. Advanced hands-on troubleshooting experience across Microsoft 365, Azure, Windows Server, Active Directory and Entra ID, virtualization, networking, endpoint management, backup and recovery, monitoring, and security technologies, including diagnosing complex, multi-layer issues using logs, packet and performance data, telemetry, and configuration analysis. Experience administering remote monitoring and management, IT service-management, documentation, endpoint, identity, backup, security, and observability platforms in an MSP or multi-client environment. Working knowledge of PowerShell or comparable scripting, workflow automation, APIs, and AI-assisted technical tools, with appropriate testing, security, and human review. Strong understanding of identity, least privilege, endpoint protection, vulnerability remediation, logging, backup, recovery, network security, and secure configuration principles. Ability to translate technical findings into clear business impact, risk, recovery options, and recommendations for clients and leadership. Demonstrated judgment during major incidents, production changes, competing priorities, and high-pressure client escalations. Strong technical writing skills, including runbooks, diagrams, build standards, knowledge articles, and post-incident documentation. Ability to lead, mentor, and develop technical professionals, coordinate work across teams, and raise technical quality. Highly organized, self-directed, and accountable, with disciplined change control, validation, and follow-through. Project awareness sufficient to manage technical dependencies, risks, testing, cutover activities, operational acceptance, and stakeholder communication. What Success Looks Like Team members have clear expectations, regular coaching, development plans, and appropriate coverage, and receive practical technical guidance that improves first-contact resolution, escalation quality, and confidence handling increasingly complex work. Recurring issues, manual effort, and avoidable client disruption are measurably reduced through problem management, root-cause analysis, permanent corrective actions, technical standards, automation, and knowledge reuse. Client environments have current monitoring, meaningful alerts, accurate documentation and runbooks, supportable configurations, and clearly defined escalation paths that are consistently followed. . click apply for full job details
11/09/2026
Full time
You're already the person your team turns to when the toughest issues land. Now it's time to lead the desk, develop the team, and help fix what keeps breaking. Weidenhammer is looking for an IT Operations Technical Lead to lead our Cloud & Infrastructure Service Desk while staying hands-on as the senior escalation point across Microsoft 365, Azure, Entra ID, Windows Server, virtualization, networking, backup and disaster recovery, and security. You'll coach and develop service desk analysts and engineers, lead the response when major incidents occur, and drive problem management to eliminate recurring issues at the root. Just as importantly, you'll help shape how we use smarter monitoring, automation, and AI-assisted tools to continually improve the way we deliver managed services to our clients. Have ideas for making operations better? Good. We want them. This is an opportunity to do more than resolve the next ticket. You'll have the ability to improve processes, strengthen the team, and help build a more proactive and efficient service environment. Why Weidenhammer? For nearly 50 years, Weidenhammer has helped middle-market organizations modernize technology, strengthen cybersecurity, and put data and AI to work. We're a senior-led, outcome-driven Microsoft partner with 100+ professionals delivering managed services, cloud, and hosting solutions from our data center footprint in Collegeville, PA, backed by a disaster recovery site in Chandler, AZ. Our technical leads get real responsibility, broad technology exposure, and the opportunity to make an impact. We believe in solving problems the right way, investing in better tools and automation, and creating an environment where people learn from one another and grow. Some of our best professionals started on the service desk and continued building their careers from there. We also offer a competitive benefits package that includes medical, dental, and vision insurance, a 401(k), paid time off, paid parental leave, training and development opportunities, paid volunteer time, wellness programs, and hybrid flexibility. Ready to stop just solving the toughest problems and start leading the way forward? The IT Operations Technical Manager leads the Cloud and Infrastructure Service Desk and serves as the senior hands-on technical escalation point for the operations team supporting Weidenhammer clients. The role combines advanced troubleshooting, technical mentoring, platform administration, documentation, and service improvement across client infrastructure, cloud, identity, endpoint, network, backup, monitoring, and security technologies. Working closely with the Cloud and Infrastructure team, the Manager may be assigned to do complete any of the following: support, mentor, and manage service desk team members, diagnose complex problems, coordinate technical responses during high-impact incidents, validate changes, strengthen monitoring and automation, and ensure new solutions are secure, supportable, and well documented before they enter ongoing support. Essential Functions Manage the Cloud and Infrastructure Service Desk and serve as the senior technical escalation resource for complex incidents and service requests across Microsoft 365, Azure, Windows Server, virtualization, networking, identity, endpoint management, backup, recovery, monitoring, and security operations. Lead structured troubleshooting and root-cause analysis, using logs, telemetry, configuration data, monitoring platforms, and vendor resources to isolate issues and restore service. Provide hands-on technical guidance and coaching to Service Desk Analysts, System Administrators, and Engineers; review troubleshooting approaches, recommend next steps, and strengthen team capability. Coordinate the technical response during major incidents, including triage, workstream assignment, vendor escalation, recovery validation, technical updates, and post-incident corrective actions. Administer, configure, and improve the platforms used to monitor, manage, secure, document, and support client environments within approved access and change-control practices. Develop and maintain technical standards, configuration baselines, build documentation, runbooks, knowledge articles, diagrams, and escalation procedures, along with accurate configuration, asset, licensing, and subscription records in approved service-management and documentation platforms. Review monitoring coverage, alert quality, thresholds, and response procedures to reduce noise and improve early detection of client-impacting conditions. Lead problem management for recurring or high-impact issues, analyzing incident trends, alert patterns, capacity concerns, and platform health data, and implement durable corrective actions (standardized configurations, automation, tool consolidation, documentation, or architectural recommendations) prioritized by risk and client impact. Perform and validate complex changes, maintenance activities, upgrades, migrations, and remediation work, including risk assessment, testing, communication, and rollback planning. Partner with security teams to operationalize identity protection, endpoint security, patching, vulnerability remediation, privileged-access controls, backup and recovery, certificate and lifecycle management, logging, incident response, and evidence requirements across managed environments. Use scripting, workflow automation, APIs, and AI-assisted tools to improve troubleshooting, reporting, configuration consistency, documentation, and repetitive operational work, with appropriate review and governance. Participate in solution reviews and project handoffs and provide technical oversight for transitioning new and changed services into support, identifying supportability concerns, technical debt, and security risks, and validating documentation, monitoring, access, security controls, backup, support ownership, and operational readiness before acceptance. Explain technical conditions, business impact, risks, and recommend next steps in clear language to clients and internal stakeholders, and coordinate with technology vendors and partners, carriers, and third-party support organizations to resolve product defects, service issues, licensing concerns, and complex escalations. Maintain deep working knowledge of the managed-services technology portfolio and pursue role-aligned learning and certifications that support client and service needs. Contribute technical input to client onboarding, assessments, service reviews, proposals, and scope validation when operational expertise is required. Assist with after-hours maintenance and participate in the technical escalation rotation for critical client issues as required. Promote disciplined use of incident, request, problem, change, configuration, knowledge, and continual-improvement practices across the team. Competencies Practical knowledge of IT service management, including incident, major incident, problem, change, request, configuration, knowledge, and continual-improvement practices and the technical evidence required to support them. Advanced hands-on troubleshooting experience across Microsoft 365, Azure, Windows Server, Active Directory and Entra ID, virtualization, networking, endpoint management, backup and recovery, monitoring, and security technologies, including diagnosing complex, multi-layer issues using logs, packet and performance data, telemetry, and configuration analysis. Experience administering remote monitoring and management, IT service-management, documentation, endpoint, identity, backup, security, and observability platforms in an MSP or multi-client environment. Working knowledge of PowerShell or comparable scripting, workflow automation, APIs, and AI-assisted technical tools, with appropriate testing, security, and human review. Strong understanding of identity, least privilege, endpoint protection, vulnerability remediation, logging, backup, recovery, network security, and secure configuration principles. Ability to translate technical findings into clear business impact, risk, recovery options, and recommendations for clients and leadership. Demonstrated judgment during major incidents, production changes, competing priorities, and high-pressure client escalations. Strong technical writing skills, including runbooks, diagrams, build standards, knowledge articles, and post-incident documentation. Ability to lead, mentor, and develop technical professionals, coordinate work across teams, and raise technical quality. Highly organized, self-directed, and accountable, with disciplined change control, validation, and follow-through. Project awareness sufficient to manage technical dependencies, risks, testing, cutover activities, operational acceptance, and stakeholder communication. What Success Looks Like Team members have clear expectations, regular coaching, development plans, and appropriate coverage, and receive practical technical guidance that improves first-contact resolution, escalation quality, and confidence handling increasingly complex work. Recurring issues, manual effort, and avoidable client disruption are measurably reduced through problem management, root-cause analysis, permanent corrective actions, technical standards, automation, and knowledge reuse. Client environments have current monitoring, meaningful alerts, accurate documentation and runbooks, supportable configurations, and clearly defined escalation paths that are consistently followed. . click apply for full job details