Description About the Role At NinjaOne we are passionate about building unified IT solutions that simplify the way IT organizations work. We are currently looking for a Senior Site Reliability Engineer to join our SRE team in the Platform Engineering organization and help us scale our products to millions of end-users. We are looking for individuals with a passion for automation and observability, ensuring the quality and availability of our services. We are looking for candidates located in Pacific time zone at this time. Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option. We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is builton Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS. Knowing large-scale datastore bottlenecks, asynchronous application design and client-server architecture will help you. What You'll be Doing - Diagnose and resolve complex application and infrastructure issues - Participate in our 24x7 on-call rotation, SCRUM, and deployment planning - Perform Root Cause Analysis (RCA) and provide recommendations for application teams - Improve availability and reduce customer impact using Industry best observability tools - Ensure best-practice and security-minded architecture by influencing design decisions - Create and maintain technical documentation and SOP's - Develop software, scripts, or tooling to improve efficiency and reduce delivery time of applications and infrastructure. - Other duties as needed About You - 10+ years' experience in DevOps and/or Site Reliability Engineering roles - 3+ years' experience with an object-oriented language (preferably Java, .NET or C++) - Intermediate+ level Linux administration, scripting, and troubleshooting - Demonstrable knowledge of Observability tools (New Relic, Splunk, DataDog) - Comprehensive experience with AWS (Amazon Web Services) and its core capabilities(VPC, EC2, ECS, Route53, Fargate, ALB/NLB distributions, etc) - Experience with cloud automation and infrastructure-as-code (IaC) toolsets, primarily CloudFormation but also including Terraform, Helm and Ansible. CDK a plus. - Good understanding of containers, Fargate, Kubernetes, and overall distributed microservice architectures - Passionate about automation, security, and self-service environments/portals - Hands-on experience with CI/CD and SDLC (Software Development Life Cycle) processes - Effective communication skills, both verbal and written. About Us NinjaOne automates the hardest parts of IT to deliver visibility, security, and control over all endpoints for more than 30,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support. NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management, and mobile device management. What You'll Love We are a collaborative, kind, and curious community. We honor your flexibility needs with full-time work that is hybrid remote. We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance. We help you prepare for your financial future with our 401(k) plan. We prioritize your work-life balance with our unlimited PTO. We reward your work with opportunity for growth and advancement. Additional Information This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents. *Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $130,000 - $180,000 per year. For roles based in New York, the base salary hiring range for this position is $130,000 - $180,000 per year. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment. #LI-KS2 #LI-Remote #LI-Hybrid #BI-Remote #BI-Hybrid

• Own the reliability and availability of corporate IAM systems end-to-end, including on-call rotation, incident response, root cause analysis, and blameless retrospectives to ensure 24x7 uptime for critical identity services. • Build and maintain CI/CD pipelines and automation tooling to streamline identity platform deployments, eliminate manual operational tasks, and progressively test changes before production rollout. • Partner with IT, Security, and Engineering teams as a subject matter expert on corporate IAM and DevOps tooling, advising on identity lifecycle, provisioning, SSO, MFA, and access control architecture. • Drive observability and disaster recovery maturity across IAM systems by defining metrics, implementing monitoring solutions, and designing recovery strategies that meet strict SLA requirements. • Strengthen documentation standards by creating and maintaining comprehensive runbooks, system configuration guides, and troubleshooting procedures across the identity platform lifecycle.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead AI/DevOps Engineer Job Description: Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview: The LLM as a Service team is looking for a Lead AI/DevOps Engineer to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. The Role: • Lead DevOps initiatives in on-prem environments.• Design, deploy, and manage scalable AI infrastructure using Kubernetes for reliable orchestration of large language models and related services.• Develop proof-of-concept solutions for advanced AI use cases, including model context protocols (MCPs), LLMs, retrieval-augmented generation (RAG), and agentic workflows.• Partner with security and governance teams to ensure AI solutions comply with enterprise policies, regulatory standards, and privacy best practices.• Collaborate with infrastructure and platform teams to optimize cloud resources for scalable, efficient, and cost-effective AI workloads.• Work directly with customer teams to gather requirements, deliver innovative solutions, and provide ongoing technical support throughout the AI product lifecycle. All About You: • Proficient in DevOps tools such as Splunk, Dynatrace, Grafana, Prometheus, OpenShift Kubernetes, Docker, and Helm.• Strong hands-on experience with Python; GoLang is a plus.• Customer-focused mindset with a commitment to delivering simple, valuable solutions.• Driven by a clear mission to prioritize customer needs.• Continuously monitor market trends and competitors to inform strategy.• Proactively engage with customers to understand their challenges and identify impactful solutions.• Seek complementary products or services to enhance customer outcomes.• Identify resource gaps and propose sustainable, team-benefiting solutions.• Communicate technical concepts clearly and concisely.• Confident and precise communicator, capable of articulating vision and strategy to diverse stakeholders.• Solution-oriented approach to problem-solving. #AI1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: - Abide by Mastercard's security policies and practices; - Ensure the confidentiality and integrity of the information being accessed; - Report any suspected information security violation or breach, and - Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges New York City, New York: $168,000 - $277,000 USD Arlington, Virginia: $161,000 - $266,000 USD O'Fallon, Missouri: $140,000 - $231,000 USD Remote - California: $140,000 - $231,000 USD Remote - New York: $140,000 - $231,000 USD San Francisco, California: $168,000 - $277,000 USD Job Posting Window Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead AI/DevOps Engineer Job Description: Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview: The LLM as a Service team is looking for a Lead AI/DevOps Engineer to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. The Role: • Lead DevOps initiatives in on-prem environments.• Design, deploy, and manage scalable AI infrastructure using Kubernetes for reliable orchestration of large language models and related services.• Develop proof-of-concept solutions for advanced AI use cases, including model context protocols (MCPs), LLMs, retrieval-augmented generation (RAG), and agentic workflows.• Partner with security and governance teams to ensure AI solutions comply with enterprise policies, regulatory standards, and privacy best practices.• Collaborate with infrastructure and platform teams to optimize cloud resources for scalable, efficient, and cost-effective AI workloads.• Work directly with customer teams to gather requirements, deliver innovative solutions, and provide ongoing technical support throughout the AI product lifecycle. All About You: • Proficient in DevOps tools such as Splunk, Dynatrace, Grafana, Prometheus, OpenShift Kubernetes, Docker, and Helm.• Strong hands-on experience with Python; GoLang is a plus.• Customer-focused mindset with a commitment to delivering simple, valuable solutions.• Driven by a clear mission to prioritize customer needs.• Continuously monitor market trends and competitors to inform strategy.• Proactively engage with customers to understand their challenges and identify impactful solutions.• Seek complementary products or services to enhance customer outcomes.• Identify resource gaps and propose sustainable, team-benefiting solutions.• Communicate technical concepts clearly and concisely.• Confident and precise communicator, capable of articulating vision and strategy to diverse stakeholders.• Solution-oriented approach to problem-solving. #AI1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: - Abide by Mastercard's security policies and practices; - Ensure the confidentiality and integrity of the information being accessed; - Report any suspected information security violation or breach, and - Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges New York City, New York: $168,000 - $277,000 USD Arlington, Virginia: $161,000 - $266,000 USD O'Fallon, Missouri: $140,000 - $231,000 USD Remote - California: $140,000 - $231,000 USD Remote - New York: $140,000 - $231,000 USD San Francisco, California: $168,000 - $277,000 USD Job Posting Window Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.