Senior Cloud Engineer

The RoleBrookhaven National Laboratory is seeking a senior information technology cloud engineer with strong experience in Microsoft Azure-based infrastructures to join our Information Technology Division (ITD).Organizational OverviewBrookhaven Lab's Information Technology Division's (ITD) mission is to deliver safe, efficient operations that ensure the delivery of the Lab's research mission by:Developing and deploying state-of-the-art information and computing systems in support of scientific research and business operationsProviding a reliable and secure, high-speed network infrastructure for scientific and business computingDeveloping a scientific computing infrastructure that can support the computing needs that are common among the scientific departmentsProviding support to scientific and administrative programs to help them address their unique computing problemsProviding a cost-effective, highly reliable, secure, and standardized computing infrastructurePromoting best practices in the areas of platform support, application development, and customer serviceProviding cost-effective information services to the Brookhaven Lab community including Research Library, publications, records management, and technical editing services, in support of the research mission and in compliance with contractual requirementsITD includes experts in information technology (IT) infrastructure and operations, cyber security, business systems, data information, and information services, including records management and the Research Library. The ideal candidate is an excellent communicator who is resourceful and innovative, and who understands that collaboration with stakeholders from across the Laboratory is critical to ensure the right expertise and technology are in place to advance our mission of bringing science solutions to the world.The Role in DetailAs a senior cloud engineer, you will help lead the design, development, implementation, and automation of cloud infrastructure services and solutions, primarily in the Microsoft Azure environment. This is a senior individual contributor role focused on establishing and maturing infrastructure engineering, automation, and platform development. You will focus on modernizing and improving our cloud toolset, processes, and practices while improving platform reliability and scalability. As a member of a small group of senior engineers, you will be expected to significantly contribute to the maturity of our IT infrastructure cloud engineering department.Your experience in partnering with developers, infrastructure teams, and stakeholders to align infrastructure with business and research needs will be crucial to your success. As a mixed on-premise and cloud-based IT organization, your ability to build and influence the direction of strategic IT roadmaps is critical. Additionally, fostering an infrastructure-as-code mindset while lifting the team's overall maturity and growth will be important to long-term success in the role.This role also supports and enables the Lab's evolving AI initiatives by providing secure, scalable infrastructure for AI-enabled applications. You will partner with our application, data, and AI teams to deliver reusable platform capabilities that support both traditional and AI-driven workloads.Professional AttributesHands-on builder with a strong engineering mindsetFocused on automation, reliability, and continuous improvementComfortable working across teams (applications, engineering, security, operations)Curious and adaptable, with interest in emerging technologies including AIStrong sense of ownership, accountability, and business acumenEssential Duties and ResponsibilitiesCloud services lifecycle managementDesign, deploy, manage, and support Azure SaaS, PaaS, and IaaS services throughout their full lifecycleEnsure solutions are secure, scalable, resilient, and aligned with Laboratory standards and best practicesAutomation & Infrastructure-as-Code (IaC)Automate provisioning and operational workflows using common scripting and configuration toolsIntegrate infrastructure into CI/CD pipelinesContinuously automate and eliminate manual processesReliability, Security & OperationsImplement monitoring, logging, and alertingTroubleshoot infrastructure and application issuesParticipate in incident response and continuous improvement effortsEnsure infrastructure meets security, compliance, and governance standardsSupport cost optimization and performance tuningAI Platform IntegrationSupport infrastructure for AI-enabled applications (e.g., API-based model access, inference endpoints)Establish scalable and secure patterns for integrating AI services into cloud environmentsPartner with engineering teams to enable safe and efficient use of AI capabilities within platform guardrailsMentorship and team developmentMentor junior staff and colleaguesPromote knowledge sharingContribute to a collaborative, high-performing team cultureRequired Knowledge, Skills, and AbilitiesBA/BS degree, preferably in Information Technology or a related discipline, or equivalent certifications or experience10+ years in cloud engineering, DevOps, and/or infrastructure roles demonstrating progressive growth in scope, responsibility, and complexityStrong expertise with Microsoft Azure services, including infrastructure, networking, computing, storage, security, identity, etc.Strong platform orchestration tool experience across Linux and Windows devicesExperience utilizing CI/CD tools and platformsStrong communication and documentation skillsPreferred Knowledge and SkillsExperience with common security/compliance frameworks (ISO, SOC 2, NIST)Experience in research and/or academic IT environmentsExperience with FinOps tools for usage and billing simplificationExperience with ownership and implementation platforms with a product-centric view, implementing lifecycle management and continuous improvementA strong understanding of core technologies used by partner organizations, including application deployment tools, database platforms, networking, cyber security, and monitoringAn interest or experience with common AI/LLM platforms, including potential integration with other applicationsCapable of moving productions from ideation to delivery and operation, through deep technical experience and strong business acumen and understandingStrong communication and presentation skills with the ability to influence organizational prioritiesOther InformationThis is a fully remote position with on-site presence available at Brookhaven National Laboratory in Upton, NYVisa Sponsorship is not available for this positionBrookhaven Laboratory is committed to providing fair, equitable, and competitive compensation. The full salary range for this position is $126,000 - $210,050 per year. Salary offers will be commensurate with the final candidate's qualifications, education, and experience and will be considered with the internal peer group.BenefitsBrookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive.Equal Opportunity/Affirmative Action EmployerGuided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer — Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. *VEVRAA Federal ContractorAdditional InformationBrookhaven Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory. This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act. Those not in possession of a REAL ID-compliant document will not be permitted to access the site, which includes access to the Laboratory for interviews.J-18808-Ljbffr