169 jobs found

Job Description Company: ConnectDotsSolution LLC Client: NC Department of Health and Human Services (NC DHHS) Official Classification: Cloud Engineer - Mid Level Location: Raleigh, NC 27607 Work Arrangement: Hybrid Employment Type: Full-Time Contract (W-2) Pay Range: $70-$85 per hour Contract End Date: October 4, 2027 Position Overview ConnectDotsSolution LLC is seeking an experienced Senior Cloud Application Developer to support NC DHHS in developing robust, scalable cloud applications and serverless systems across Amazon Web Services (AWS) and Microsoft Azure. The ideal candidate will bring strong backend development expertise, hands-on experience with AWS serverless technologies, and the ability to integrate generative AI and machine learning services into secure, cloud-native applications. This position supports cloud architecture, AI/ML integration, database development, intelligent customer communications, content delivery, and cloud security. Key Responsibilities Design, develop, and deploy scalable serverless applications using AWS Lambda. Design hybrid cloud architectures integrating AWS and Microsoft Azure services. Integrate generative AI foundation models using Amazon Bedrock or Amazon SageMaker. Develop and maintain backend services and cloud-native application components. Configure and manage Amazon RDS and DynamoDB databases. Implement intelligent customer communication workflows using Amazon Connect. Configure Amazon S3 storage and optimize content delivery using Amazon CloudFront. Manage AWS IAM roles, access permissions, API gateways, keys, secrets, and cloud security controls. Collaborate with technical teams to design secure, reliable, and scalable cloud solutions. Required Technical Qualifications Hands-on experience developing cloud-native applications and backend services. Strong experience with AWS Lambda and serverless application development. Experience designing solutions across AWS and Azure environments. Experience integrating AI/ML or generative AI services, preferably Amazon Bedrock or SageMaker. Experience working with Amazon RDS and DynamoDB. Knowledge of Amazon S3, CloudFront, API Gateway, and IAM. Understanding of cloud security, authentication, access management, and secrets management. Strong problem-solving, troubleshooting, and technical communication skills. Preferred Qualifications Experience developing applications for government, healthcare, or regulated environments. Experience implementing Amazon Connect customer communication workflows. Experience designing production-ready generative AI applications. Familiarity with cloud automation, CI/CD pipelines, and infrastructure as code. AWS or Azure professional certifications. How to Apply Apply through LinkedIn with an updated resume highlighting hands-on experience with AWS Lambda, Azure, Amazon Bedrock/SageMaker, RDS, DynamoDB, Amazon Connect, S3, CloudFront, and cloud security. Candidates should indicate their availability to work under the required hybrid arrangement in Raleigh, NC. About ConnectDotsSolution LLC ConnectDotsSolution LLC is a HUBZone-certified small business providing IT supplemental staffing, cloud technology, digital modernization, data analytics, and program support services to government and commercial clients. ConnectDotsSolution LLC is an Equal Opportunity Employer.

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Platforms Team serves as the experts on data ingestion, data flow and retrieval for CoreWeave. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data platform infrastructure. We are seeking a Staff engineer with specialization in data platforms and stream processing who can help us fulfill the goal of our multi-regional datastore strategy and establish communication models for our data flow. This individual will work with a team of 6-8 mixed skill engineers and have the opportunity to work on a full range of rewarding challenges that come with building in a communicative, supportive, and high-performing environment. As a member of the Data Platforms Team you will have the opportunity to: Drive technical decision-making to accelerate delivery, mentor engineers, and grow team capability. Champion event-driven architecture adoption and build consensus across the organization. Identify and develop applications for the organization's data. This involves understanding business needs and creating solutions that leverage data effectively. Design and implement the platform to deliver data to teams with a focus on providing managed solutions. Develop a stream processing architecture and solve for scalability and reliability. Improve the performance, security, reliability, and scalability of our data platforms, and related services and participate in the teams on-call rotation. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. You have 15+ years of experience in a software or infrastructure engineering industry. You understand data consistency and concurrency models, can clearly define data models and establish guidelines around data management. You're familiar with distributed NewSQL datastores such as CockroachDB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka. You have experience with designing and operating these systems at scale. You're familiar with Kubernetes and have interest or experience with using it for event-driven and/or stateful orchestration. You're excited to have the opportunity to contribute to a Kubernetes operator in order to manage data systems. You know your way around a Linux distro, shell scripting, and the Linux storage and networking stacks. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You have production level proficiency in Go or Python and you're interested in contributing to open source. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Platforms Team serves as the experts on data ingestion, data flow and retrieval for CoreWeave. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data platform infrastructure. We are seeking a Staff engineer with specialization in data platforms and stream processing who can help us fulfill the goal of our multi-regional datastore strategy and establish communication models for our data flow. This individual will work with a team of 6-8 mixed skill engineers and have the opportunity to work on a full range of rewarding challenges that come with building in a communicative, supportive, and high-performing environment. As a member of the Data Platforms Team you will have the opportunity to: Drive technical decision-making to accelerate delivery, mentor engineers, and grow team capability. Champion event-driven architecture adoption and build consensus across the organization. Identify and develop applications for the organization's data. This involves understanding business needs and creating solutions that leverage data effectively. Design and implement the platform to deliver data to teams with a focus on providing managed solutions. Develop a stream processing architecture and solve for scalability and reliability. Improve the performance, security, reliability, and scalability of our data platforms, and related services and participate in the teams on-call rotation. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. You have 15+ years of experience in a software or infrastructure engineering industry. You understand data consistency and concurrency models, can clearly define data models and establish guidelines around data management. You're familiar with distributed NewSQL datastores such as CockroachDB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka. You have experience with designing and operating these systems at scale. You're familiar with Kubernetes and have interest or experience with using it for event-driven and/or stateful orchestration. You're excited to have the opportunity to contribute to a Kubernetes operator in order to manage data systems. You know your way around a Linux distro, shell scripting, and the Linux storage and networking stacks. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You have production level proficiency in Go or Python and you're interested in contributing to open source. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more. Must Have Skills: SharePoint Online Development Build, customize, and manage SharePoint Online sites and solutions Configure site architecture, navigation, permissions, and content management Develop custom components and integrations using SPFx and Microsoft 365 technologies Single Page Application (SPA) Development Develop and maintain applications using React, Angular, or Vue Create reusable components and scalable front-end architectures Implement state management, routing, and authentication Advanced Front-End Development Expert-level JavaScript, TypeScript, HTML5, and CSS3 Translate UI/UX prototypes into pixel-perfect, responsive interfaces Optimize accessibility, performance, and cross-browser compatibility API & Data Integration Consume and integrate REST APIs, Microsoft Graph, and web services Work with JSON, asynchronous programming, and complex data models Build secure, data-driven user experiences AI Agent Development Design and develop AI-powered agents with Copilot an/or Microsoft Foundry Implement RAG, prompt engineering, and enterprise AI solutions Integrate AI agents with Microsoft 365 and business systems SharePoint AI Solutions Develop AI agents that leverage SharePoint content and knowledge bases Build solutions that provide intelligent search, summarization, and knowledge retrieval Supporting Technologies TypeScript Copilot or Microsoft Foundry SPFx (SharePoint Framework) Responsive Design Accessibility (WCAG) Agile/Scrum Methodologies Education: Bachelor's degree or equivalent work experience. Work location: Pittsburgh, PA / Strongsville, OH V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.

Job Description DataStaff, Inc. is currently seeking a Cloud Engineer for a long-term contract opportunity with one of our direct clients in Raleigh, NC. This position is hybrid Job Description The Cloud Engineer will build robust, scalable cloud applications and serverless systems across AWS and Azure. This role focuses on backend development, AI/ML integration, and deploying cloud-native components, including Lambda functions, cloud databases, smart communication workflows, and content delivery systems. The role will also support hybrid cloud architectures, generative AI foundation models, and cloud security configurations. Responsibilities Build and deploy serverless applications using AWS Lambda. Design hybrid cloud architectures integrating AWS and Azure services. Integrate generative AI foundation models using Amazon Bedrock or SageMaker. Manage cloud databases such as Amazon RDS and DynamoDB. Implement smart customer communication workflows via Amazon Connect. Configure Amazon S3 buckets and optimize global content delivery using CloudFront. Manage cloud security IAM roles, keys, secrets, and API gateways. Required Skills 4 Years - Hands-on cloud development experience (AWS preferred; Azure beneficial). 4 Years - Proven track record/experience with AWS Lambda, RDS, S3, DynamoDB, and infrastructure-as-code patterns. 4 Years - Experience implementing generative AI models via Bedrock or SageMaker. 3 Years - Experience using Amazon Connect and CloudFront configurations. 3 Years - Strong understanding of cloud identity management (IAM, Azure AD/Entra ID). 6 Years - Proficiency in Python, Node.js, SQL, or scalable backend languages. 7 Years - Ability to organize, prioritize, and follow complex and/or detailed technical procedures. 3 Years - Experience with Agile (Scrum, Kanban, or Safe) development. This opportunity is available on a corp-to-corp basis or as a W2 position with a competitive benefits package. DataStaff, Inc. offers medical, dental and vision coverage options as well as paid vacation, sick and holiday leave. As many of our opportunities are long-term, we also have a 401K program available for employees after 6 months.

Job Description Staff Site Reliability Engineer Salary Range: $157k to $192k Position Overview We are seeking an experienced Principal Site Reliability Engineer (SRE) to provide technical leadership across highly available, large-scale production environments. This role combines software engineering, systems engineering, cloud infrastructure, automation, DevOps, and production reliability to improve the resilience, scalability, performance, observability, and operational health of critical services. The Principal SRE will partner closely with Software Engineering, Platform Engineering, Cloud Infrastructure, DevOps, and other technology teams to ensure reliability and operational readiness are incorporated throughout the software development lifecycle. This is a senior individual contributor position with enterprise-level influence. The successful candidate will identify systemic reliability risks, establish technical direction, influence architecture and engineering practices, and help improve reliability capabilities across multiple engineering teams. Key Responsibilities Apply Site Reliability Engineering (SRE), software engineering, automation, and DevOps principles to improve how production services are built, tested, deployed, monitored, operated, and recovered. Establish and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), error budgets, availability metrics, and service-health measurements. Design and enhance observability capabilities using metrics, logging, distributed tracing, monitoring, alerting, dashboards, and service-health instrumentation. Drive continuous improvement across CI/CD pipelines, Infrastructure as Code (IaC), cloud infrastructure, deployment practices, automation, testing, incident management, capacity planning, resilience, disaster recovery, and operational readiness. Analyze production environments to identify systemic reliability risks, performance bottlenecks, recurring incidents, and opportunities for automation. Translate production and operational experience into improvements in application code, architecture, infrastructure, tooling, automation, and engineering standards. Partner with Software Engineering teams to incorporate reliability, resiliency, scalability, performance, observability, recoverability, and operational readiness throughout the development lifecycle. Lead or participate in production incident response, troubleshooting, root cause analysis, service restoration, and blameless post-incident reviews. Provide technical leadership during critical production incidents and help improve incident response, escalation procedures, service restoration, and sustainable on-call practices. Reduce operational toil and manual intervention through software development, scripting, automation, reusable tooling, platforms, and engineering patterns. Apply data-driven analysis, experimentation, and engineering principles to validate assumptions and guide technical decisions. Establish and influence enterprise-level SRE, DevOps, cloud, reliability, and operational engineering standards and best practices. Mentor engineers and technical leaders while promoting knowledge sharing and sustainable engineering capabilities across the organization. Operate independently across complex, business-critical reliability and infrastructure challenges. Required Qualifications 15+ years of relevant professional experience in one or more of the following areas: Site Reliability Engineering (SRE) Software Engineering Systems Engineering Cloud Engineering Platform Engineering DevOps Engineering Infrastructure Engineering Systems Architecture Strong experience with software development and/or scripting using one or more modern programming languages. Advanced understanding of software engineering principles, distributed systems, production environments, troubleshooting, automation, and observability. Experience designing, supporting, or improving highly available, scalable production systems and distributed applications. Experience with public cloud platforms and cloud-native architectures, preferably AWS. Strong knowledge of Linux/Unix systems, networking, infrastructure, application architecture, and production operations. Demonstrated experience diagnosing complex production issues and implementing sustainable technical solutions. Strong analytical, troubleshooting, problem-solving, communication, and cross-functional collaboration skills. Ability to provide technical direction and influence engineering practices across multiple teams and organizational boundaries. Preferred Qualifications Extensive hands-on experience with Amazon Web Services (AWS) or another major cloud platform, including Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI). Experience with CI/CD pipelines and software delivery automation. Experience with Infrastructure as Code (IaC) technologies and practices. Experience with containers and container orchestration technologies. Strong experience with monitoring, logging, distributed tracing, dashboards, alerting, and observability platforms. Experience defining and managing SLIs, SLOs, error budgets, availability targets, and reliability metrics. Experience with incident management, root cause analysis, performance engineering, capacity planning, resilience testing, disaster recovery, and operational readiness. Experience creating reusable automation, tooling, platforms, frameworks, engineering patterns, or standards that improve engineering productivity and system reliability. Experience influencing architecture and technical strategy for large-scale or business-critical production systems. Demonstrated ability to mentor senior engineers and improve technical capabilities across engineering organizations. Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical discipline, or equivalent practical experience. Key Technical Skills / ATS Keywords Site Reliability Engineering (SRE), AWS, Cloud Computing, DevOps, Software Engineering, Systems Engineering, Platform Engineering, Distributed Systems, Production Reliability, High Availability, Scalability, Resilience, Observability, Infrastructure as Code (IaC), CI/CD, Automation, Linux, Unix, Networking, Containers, Container Orchestration, Monitoring, Logging, Distributed Tracing, Alerting, SLIs, SLOs, Error Budgets, Incident Management, Root Cause Analysis, Production Support, Performance Engineering, Capacity Planning, Disaster Recovery, Resilience Testing, Operational Readiness, Cloud Architecture, Production Operations, Software Development, Scripting, Troubleshooting, Technical Leadership.

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn't always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done-while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team's unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company's success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package: • 100% paid employee premium for healthcare, vision and dental plans. • 10% 401k benefit. • Generous PTO + 10 paid holidays. • Education/training allowances. Anticipated Salary Range: $124,303.00 - $190,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process. Job Description Enlighten is looking for an experienced Product Owner to directly support operations and assist in growth strategy with special emphasis on U.S. Air Force Cyber Command (AFCYBER) at JBSA, TX. Will help provide some project management and DevSecOps support from which organic growth is desired. Will assist in data acquisition, data validation and training efforts developed for cyber operations on the government owned Big Data Platform (BDP)/JCRS-D. Will need to be on-site to work with the customer 2-3 days/week in Columbia, MD. Travel may be required up to 25% of the time. Level Essential Job Responsibilities Establish, foster and strengthen relationships between company and targeted government customers. Function as the lead for data acquisition development and data strategy in support of operations and work to validate data related production capabilities directly into the customers daily operations. Function as the SME for Air Force operational BDP capabilities and work to operationalize capabilities into the customer's daily operations. Provide excellent technical support to 16th AF users of the BDP regarding their data needs and requirements. Answer user questions and troubleshoot issues related to data ingest on the platform. Responsible for understanding all Tiers of the Air Force Network (AFNET) to support implementing new data pipeline solutions from the Air Force Base (AFB) level to the enterprise. Serve as the lead for gathering data requirements from AF customer leads and convey them to developers by establishing and maintaining an Air Force data strategy. Responsible for understanding our technology / capabilities and championing accordingly. Provide company leadership updates on the project status, key customer engagements and overall assessment of the government's direction and adoption of capabilities. Function as the SME for the 16th AF customer landscape. Establish relationships with influential leads with the Chain of Command and help influence government decision making with regards to data. Work with the Enlighten's Customer Experience Group (CEG) to develop and implement development plans, operational roadmaps, and action plans for identified communities of interest. Expand future opportunities by working with existing customers. Assist our Air Force program to identify new market opportunities and target markets. Document and maintain opportunities in the company's CEG pipeline tools. Develop customer relationships and maintain updated knowledge of customer plans, programs, and general market intelligence. Develop an external network of solution partners and providers. Collaborate with internal marketing and engineering departments. Own the customer experience success from start to finish. Work closely with company development and engineer teams to ensure DevSecOps pipeline delivery dates track with customer targets and timelines. Act as the focal point to pushing data capabilities out to the customer. Ensure the customer is fully aware of relevant DevSecOps pipeline touchpoints to ensure acceptance of new updates, features or capabilities. Additional duties as assigned. Minimum Qualifications Security Clearance: Must currently have and maintain an active TS/SCI U.S. Government Security Clearance; U.S. Citizenship required. 9+ years in DoD cyber, agile development, and/or big data with a B.A. in Business, a technical field, or related; 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience. Must have prior government or military experience with any of the following organizations: MARFORCYBER, DCSA, DISA, Army Cyber, U.S. Cyber Command, U.S. Air Force (AFCYBER), or 10TH Fleet / Navy Cyber. Experience directly managing complex technical projects and or programs. Understands budget practices and acquisitions shop with the organizations or has relationships with people who do. Strong computer skills including MS Word, MS Excel, and MS PowerPoint. Strong interpersonal skills and the ability to interact effectively with others. Ability to speak in a public forum. Excellent interviewing skills including active listening and empathy. Will participate in the full lifecycle of Business Development, including proposal support, staffing, opportunity identification, bid / no-bid analysis, RFI / Market Responses, etc. Excellent organizational and attention to detail skills. Must be able to obtain Security+ certification within 60 days of hire. Ability and willingness to travel up to 25%, sometimes on short notice CONUS. OCONUS travel as necessary. Ability to work on customer site 2-3 days a week in Columbia, MD. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Experience with Software Engineering, Cloud Technologies, Data Engineering and Cyber Security. Technical background strong enough to determine system requirements and work closely with engineering and management to ensure accurate design and estimating would be an asset, but not required. Experience with moving data at scale, especially using Amazon S3. Prior experience or familiarity with Big Data Platforms or Data Lake architectures. We have many more additional great benefits/perks that you can find on our website at .

Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: As a Senior Engineer (Typically equivalent to Staff or Sr Staff titles in other companies) in our Reliability team, you'll work directly within CrowdStrike product groups alongside product engineers and their leadership. You'll partner with engineering leaders to shape reliability roadmaps while doing hands-on work solving complex distributed systems problems at scale. This is hands-on systems engineering work focused on writing code, building foundational infrastructure, and solving complex problems rather than day-to-day operations or ticket management. While we embrace the SRE moniker, you'll find that it means something much more service-oriented at Crowdstrike, and affords you no shortage of Golang development initiatives, as well as the freedom to move up/down and laterally across the stack as & when needed. It is far and away our most self-driven & autonomous backend development role. CrowdStrike Falcon processes trillions of events per day. You'll work on the critical production systems that power this platform by improving, rearchitecting, and scaling them to meet growing demands. You'll write production code, debug complex distributed systems issues, and tackle problems spanning scale and resiliency, performance engineering, foundational observability and instrumentation, cost optimization, and failure modeling. Product engineers and engineering leaders will come to you for guidance on architectural decisions because you've earned credibility through hands-on work and delivering results. You'll ensure follow through on incident retrospectives with concrete improvements that eliminate entire classes of failures. You'll identify opportunities to extract common patterns into shared libraries or tools, or partner with platform teams on improvements that benefit multiple product groups. Recent examples from the team include resolving critical issues in leader election libraries and building infrastructure-as-code tools that eliminate manual deployment processes. Why This Role Matters: CrowdStrike Falcon is the industry standard in cloud-native cybersecurity and threat hunting. Our customers depend on us to protect their businesses from sophisticated threats, and reliability isn't optional - it's fundamental to our mission. As an Embedded SRE, your work directly impacts whether organizations around the world can defend themselves against cyberattacks. You'll be working on problems that matter, at a scale that few companies can match, with the autonomy to make real architectural decisions. This position requires candidates to work 2 to 3 days per week in one of our offices in Midtown Manhattan, NY; Redmond, WA; Sunnyvale, CA; or Austin, TX. It's a hybrid role, with employees typically working 2 to 3 days per week in the office, on average. What You'll Do: Partner with engineering leadership across multiple product groups to define and drive multi year reliability roadmaps. Design and implement architectural improvements to services, libraries, and platforms that impact teams across all of CrowdStrike. Develop and maintain services that meet aggressive reliability and scalability demands. Extend and build new libraries for cross cutting concerns spanning CrowdStrike's cloud platform, which comprises hundreds of libraries and services. Lead initiatives around reliability, scalability, performance, and cost efficiency in large scale distributed systems. Establish foundational observability practices: ensure teams instrument services properly, react to signals effectively, and leverage observability to drive automation such as continuous delivery. Define and implement service level objectives and error budgets that drive real decision making and prioritization. Lead performance and cost optimization efforts: profiling, bottleneck analysis, capacity planning, and cloud efficiency improvements. Conduct resilience engineering: chaos experiments, failure injection, failure modeling, and designing for graceful degradation. Design and implement automation and infrastructure as code to improve infrastructure reliability and eliminate manual toil. Provide technical leadership during complex incidents and ensure follow through on retrospectives with concrete improvements that eliminate entire classes of failures. Identify opportunities to extract common patterns into shared libraries and tools, or partner with platform teams on improvements benefiting multiple product groups. Continuously re evaluate our products to improve architecture, knowledge models, developer and user experience, performance, and stability. Drive strategic technical decisions and influence infrastructure and operational improvements across the organization. Mentor and coach engineers, raising the technical IQ of the team and driving architectural standards across the org. Use and give back to the open source community; evangelize software engineering best practices, especially as they pertain to Go. Brainstorm, define, and build collaboratively with members across multiple teams as an energetic self starter who owns and is accountable for deliverables. What You'll Need: 10+ years of experience building and operating distributed systems and service oriented backends at scale. 5+ years developing microservices for a SaaS product in a modern backend language (Go, Java, Scala, Kotlin, Python, Node.js). Expert level proficiency in at least one programming language, with expert level Go or demonstrated ability and willingness to reach expert level in Go. Deep understanding of distributed systems: consensus algorithms, replication, consistency models, failure modes, and scalability patterns. Proven experience scaling backend systems - sharding, partitioning, horizontal scaling, capacity planning, and performance optimization are second nature. Deep understanding of multi threading, concurrency, and parallel processing. Track record of making impactful architectural decisions at organizational scope and seeing them through to production. Strong systems thinking and the ability to influence without direct authority across organizational boundaries. Thorough command of engineering best practices: appropriate testing paradigms, effective peer code review, and resilient architecture. Ability to thrive in a fast paced, test driven, collaborative, and iterative environment; strong team player orientation. A desire to ship code and a love of seeing your bits run in production. Degree in Computer Science, or commensurate experience in data structures, algorithms, and distributed systems. Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Experience driving reliability improvements in organizations with hundreds or thousands of microservices. Deep knowledge of Kubernetes or other large scale orchestration systems. Hands on experience with AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, or similar large scale distributed technologies. Experience with Google Cloud Platform (GCP). Experience with Oracle Cloud Infrastructure (OCI). Experience delivering or operating services across multiple cloud providers, including multi cloud abstraction layers, portability, and cloud agnostic tooling. Track record of building internal platforms, developer platforms, or tools that other engineers depend on. Experience with infrastructure cost optimization at scale. Background in performance engineering: profiling, optimization, and identifying system bottlenecks. Experience with chaos engineering or resilience testing practices. History of establishing SLO/SLI frameworks and error budgets in production environments. Contributions to the open source community (GitHub, Stack Overflow, technical blogging). Prior experience in the cybersecurity or intelligence fields. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs . click apply for full job details

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details

This job is with Colt Technology Services, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Summary Job title : Senior AI Engineer Reports to : VP of AI Technology and Architecture Job location : Must have ability to be onsite in Boulder, CO office for 2-3 days a week About Colt and the AI Practice Colt Technology Services is a global digital infrastructure company, operating one of the world's largest fiber networks across Europe and Asia. We are building a Boulder-based AI team as the engineering center of our AI Practice. The team is responsible for how AI is adopted, governed, and scaled across Colt. The AI Practice operates across several parallel workstreams, including use case delivery, AI WAN, and private AI. The Boulder team is where we build, test, and validate before we scale. Why we need this role This is a build role. You will take AI use cases from a business problem to something running in production and being used every day: retrieval and search over Colt's own data, agents that carry out multi-step work, and AI built into the systems Colt's teams already rely on. We are looking for a strong software engineer first. If you have spent eight to ten years building and running production systems and even if you have not yet shipped an LLM-based product, we want to hear from. The platform, the tooling, and the model access are already in place, and a staff-level AI engineer on the team will pair with you directly on the AI side of the work. The AI-specific skills you can bring to the table is a plus but is also learnable. The engineering experience and judgement that comes from having owned real systems in production is not, and that is the part we are hiring for. What we do expect is that you have already got hands on with AI, whether at work or as a side project for yourself. You will be working directly with the Colt teams taking requirements from them. The team is small by design, the problems are real, and what you build in your first year sets the pattern for how Colt builds AI. What you will do Build AI Use Cases Design and build AI applications end to end: data access, retrieval, model calls, orchestration, and the interfaces people use Work with large language models through APIs and self-hosted inference, covering prompting, tool use, retrieval, and multi-step agent workflows Build evaluation harnesses that show whether a use case is good enough to ship, and keep owning them after it ships Integrate AI into Colt's existing systems and data, within the constraints of a live enterprise environment Work Directly With the Business Work with the Colt teams, who will be your customers, and who will use what you build, across network operations, service delivery, finance, and others Turn a loosely described business problem into a scoped, buildable design Show working software early and often, and change direction when the first answer turns out to be wrong Be straight with stakeholders about what AI is not the right tool for Take It to Production and Keep It There Move your own work from prototype to production-grade: tested, instrumented, documented, and supportable Monitor accuracy, latency, and cost in production, and act when they drift Work with platform engineers on deployment, and hand over cleanly to production operations Contribute reusable patterns, components, and internal libraries so the next use case is faster than the last What we're looking for Engineering Experience: 8-10+ years building production software. You have owned systems end to end: designed them, shipped them, operated them, and been on the hook when they broke. Languages: Strong in Python, or strong in another language such as Java, Go, C#, or TypeScript and ready to work primarily in Python. Production Systems: APIs and service integration, working with real data at scale, testing, CI/CD, and debugging things that are already live in front of users. Cloud: Comfortable in any major cloud. We build primarily on Google Cloud; equivalent AWS or Azure experience is ok to start. Working Style: Comfortable with ambiguity and with direct contact with non-technical stakeholders. You ask what the problem is before deciding what to build. Hands-On with AI: You have already built something with it under your own steam. A side project, a prototype at work, an internal tool, a serious evaluation you ran, or agentic coding tools you use daily and have opinions about. It does not need to have shipped, been finished, or worked. We want to hear what you tried, what broke, and what you concluded. Helpful, Not Required: Any of this at enterprise scale: production RAG over messy real-world data, agent frameworks, evaluation tooling, Vertex AI, Kubernetes, Terraform. Useful if you have it, and teachable if you do not. HOW YOU WILL RAMP You pair with a staff-level AI engineer from your first week, on a live use case rather than a training exercise The AI platform is already running: model gateway, evaluation tooling, deployment pipelines, and sandbox, development, and production environments We expect you to put something small into real use inside your first 90 days, and to lead a use case end to end within six months WHEN WE TALK Come ready to walk us through something you have built with AI, however small or unfinished. We would rather see a rough prototype you can explain in depth than a polished project you cannot. Expect us to ask where it fell short, what you would do differently, and how you decided whether it was any good. How you evaluated it matters more to us than what you shipped. If you have not used AI tools in your own engineering work, this will be a difficult conversation. That is the one gap we are not set up to close for you. What we offer you: Looking to make a mark? At Colt, you'll make a difference. Because around here, we empower people. We don't tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you'll be encouraged to be yourself because we believe that's what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most recently we have: Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages . Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring - take a look at 'Our People' site including our Empowered Women in Tech.

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze . click apply for full job details

Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development

Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do Description of the Team The Business Systems team at CoreWeave partners across Infrastructure, Data Center Operations, Supply Chain, and Finance to build and scale the systems that power our global data center footprint. We own the architecture, integrations, and data models that enable accurate tracking and lifecycle management of infrastructure assets across high-growth, high-volume environments. We build our platforms rather than just configure them, giving the company a live, trustworthy model of every data center asset, from the power chain to the rack. About the role We are seeking a Staff Business Systems Engineer to design, build, and own the platforms that model and track our Data Center infrastructure. In this role, you will build the software, data models, and integrations that connect physical infrastructure (power, cooling, and compute) to the business systems that plan, deploy, and track it. The scope spans asset capacity planning, inbound hardware visibility, receiving, deployment readiness, and lifecycle tracking. You will design and maintain integrations between upstream Supply Chain systems and downstream Data Center platforms, ensuring an accurate, real-time representation of infrastructure assets. As our roadmap expands into data center topology and graph capabilities, this role bridges IT and OT environments, turning raw operational data into reliable, production-grade platforms. This is a hands-on engineering role: you will write code, design databases and data models, and own projects end to end while working cross-functionally to deliver scalable, reliable solutions that support rapid infrastructure growth. Build and own the platforms and solution architecture supporting the Data Center asset lifecycle across DCIM, CMDB, EAM, and related infrastructure and OT platforms Define and evolve asset lifecycle, ensuring accurate representation of infrastructure assets from planned capacity through deployment and retirement Design and manage data models and databases to ensure accurate asset identity, hierarchy, power-chain relationships, and system-of-record alignment across platforms Contribute to the data center topology and graph model, representing how power, cooling, network, and compute assets relate to one another, including failure domains Collaborate with engineering, Supply Chain, and Data Center teams to build and maintain APIs and integrations, enabling automation that reduces manual reconciliation and improves asset data integrity, real-time visibility, and tracking of inventory, WIP (work-in-progress), and deployed assets Build data ingest pipelines that collect, normalize, and persist operational and telemetry data from power, cooling, and compute systems, handling protocol translation and data model mapping between IT and OT systems Partner with cross-functional stakeholders (Infrastructure, DC Ops, and Supply Chain) to translate business requirements into scalable system designs Drive system standardization and consolidation to support high-volume assembly and deployment operations Define and manage the Data Center Systems roadmap, prioritizing scalability, reliability, clarity and consistency of asset data Ensure systems support auditability and compliance for traceability and access control, partnering with Security and Compliance teams Act as the technical owner for cross-system issues impacting asset data integrity and lifecycle flow Who You Are Direct, hands-on experience working in Data Center environments (hyperscaler, cloud, or large-scale colocation), with a track record of building systems for them. Hyperscaler experience is a strong plus 8 to 12+ years of experience in Data Center Systems Engineering, Platform or Software Engineering Proven experience building software platforms and services, including writing production code in a modern programming language (e.g., Python or Go), designing databases and data models, and building APIs. Not control systems and PLC programming Strong experience with operational platforms such as DCIM (e.g., Sunbird), CMDB (e.g., ServiceNow), or similar custom built systems, and with the OT data that feeds them Experience designing and implementing systems that support the full asset lifecycle management in complex, high-scale Data Center environments Experience building data ingest pipelines or integrations that move operational data between IT and OT systems (e.g., DCIM, BMS/EPMS, SCADA, monitoring platforms) Strong understanding of asset hierarchy modeling and infrastructure topology mapping, including power chain, single-line (one-line) diagrams, and failure domains Comfortable operating across ambiguous system problems, defining scalable architecture solutions, and possessing strong collaboration skills across DC operations, Supply Chain, and engineering teams Experience building and maintaining integrations between inventory, logistics, and Data Center platforms (DCIM, CMDB, etc.) Enable capabilities for asset capacity planning, inbound visibility, receiving readiness, deployment readiness, and lifecycle tracking Experience supporting global or multi-site data center environments Preferred Experience working in high-growth or rapidly scaling infrastructure environments Familiarity with industrial and data center protocols such as Modbus, MQTT, SNMP, Redfish, or BACnet Experience with Kubernetes, containerized deployments, or infrastructure-as-code (e.g., Terraform) Experience with graph data models, digital-twin representations, or time-series databases Familiarity with asset capacity planning, WIP tracking, and inventory lifecycle systems Experience driving system consolidation and standardization across multiple platforms Exposure to financial systems or accounting workflows related to asset tracking Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love building systems that bring clarity and structure to complex operational environments You're curious about how infrastructure scales and how systems can enable that growth You're an expert in designing integrations and data models that ensure accuracy and reliability across platforms Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO . click apply for full job details

Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development

Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development

Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development