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Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.   The Application Infrastructure team enables iOS, Android, Backend, and Web engineers to reliably and quickly deliver new features to members. We own and operate critical shared infrastructure, including Kubernetes and Kafka, and build the tooling and guardrails that allow teams across WHOOP to ship safely at high velocity.   As a Senior Platform Engineer on the AppInfra team, you will play a key role in driving large-scale architecture projects, collaborating with cross-functional teams to design and implement infrastructure that is highly scalable, resilient, and secure. You will build systems that help increase the safety of deployments to Kubernetes while also increasing the velocity of releasing new features. You will be responsible for ensuring optimal performance and stability for the entire software delivery pipeline. You will help set the direction of the AppInfra team to impact engineers across all WHOOP technology stacks.   RESPONSIBILITIES - Design, develop, and operate WHOOP’s Kubernetes clusters running on AWS infrastructure - Drive architectural decisions to improve scalability, resiliency, performance, and security across the build and deployment platform - Build systems and tooling that increase deployment safety and accelerate release velocity to Kubernetes - Advance CI/CD capabilities to support frequent, reliable production deployments - Lead developer productivity improvements through tooling, automation, and platform integrations - Partner with application, security, and data teams to embed secure-by-default infrastructure practices - Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability - Mentor and provide technical leadership to engineers on the Application Infrastructure team - Help define and execute the long-term roadmap for infrastructure and Kubernetes management at WHOOP QUALIFICATIONS: - 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles - Deep understanding of Kubernetes architecture and core components - Strong knowledge of container networking concepts, including overlay networking, service meshes, and network policies - Experience with multi-cluster Kubernetes environments and inter-cluster communication patterns - Hands-on experience operating cloud infrastructure, preferably in AWS (e.g., IAM, VPC, EC2, S3, RDS, CloudTrail, Organizations) - Hands-on experience with Infrastructure as Code tools (e.g. Terraform) - Experience developing backend or infrastructure-adjacent services using Java, C#, or Python - Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements - Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact BONUS QUALIFICATIONS: - Experience operating Kafka or other large-scale distributed systems - Experience with Kubernetes security best practices, including RBAC, secrets management, and pod security standards - Exposure to service reliability practices such as SLOs, SLIs, and error budgets - Prior experience supporting compliance or security-focused infrastructure initiatives ABOUT YOU: - You bring a security-first mindset to everything you build and operate - You enjoy working on infrastructure that enables hundreds of engineers to move faster - You’re comfortable operating in complex, high-scale production environments - You enjoy teaching, mentoring, and raising the technical bar for those around you - You’re curious, adaptable, and excited to learn across a wide range of systems and technologies Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Customer experience Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community. The role We are looking for an experienced Partner Solutions Architect with a proven track record of enabling both value-added resellers (VARs) and technology partners. You will help partners build differentiated offerings on Nebius, enable Channel joint value propositions and take those solutions to market. You will own the technical partner relationship, connecting partner sales, presales, product and engineering teams with their counterparts at Nebius. Combining cloud architecture expertise with commercial judgment, you will help partners win customers and grow adoption through repeatable solutions and effective enablement. You’re welcome to work from our office in Amsterdam or remotely from any EU country . Your responsibilities: Develop joint value propositions that combine Nebius with partner products or services, defining target customers, priority use cases, technical differentiation and business outcomes. Work with Channel and Nebius sales and marketing teams on joint go-to-market plans, account opportunities, co-selling activities, solution messaging and customer presentations. Lead joint customer discovery and solution discussions. Agree proof-of-concept success criteria and coordinate partner and Nebius specialists through technical validation and deployment planning. Enable VAR partners to qualify opportunities, position Nebius, design customer solutions and package their implementation or managed services around our platform. Help technology partners, including software vendors and data or AI platforms, define joint solutions, integration priorities and validation plans with their product and engineering teams. Build lasting relationships with partner engineering teams. Translate requirements and customer feedback into actionable plans, coordinate experts and influence product priorities. Track partner readiness, joint solution adoption and contributions to pipeline and customer wins. Use these results to improve enablement and scale successful partner activities. What you bring 5+ years in solutions architecture, technical presales or partner technical roles, with substantial experience supporting Channel and Technology partnerships. Demonstrated success enabling both VARs and technology partners, including examples of partners independently positioning solutions, pursuing opportunities or delivering joint offerings. Experience building joint value propositions and taking partner solutions to market, with evidence of customer wins, adoption growth or commercial impact. A track record of building partner enablement programs and adapting content for sales, presales and engineering audiences. Strong cloud architecture fundamentals across compute, storage, networking and security, with the ability to explain trade-offs and connect technical decisions to customer needs. Experience earning trust with partner engineering and product teams, working effectively with internal engineers and coordinating delivery across organizations without direct authority. Clear communication with engineers and business leaders, sound commercial judgment and an understanding of how resellers and technology partners make money. A relevant degree or equivalent professional experience, plus curiosity about AI infrastructure and the ability to learn new platforms quickly. Added bonuses The following experience would be valuable but is not required for the role: Hands-on Kubernetes and container platform experience, including deployment automation with tools such as Terraform. Experience with GPU-based workloads, HPC or distributed AI/ML workloads, including training, fine-tuning, inference or MLOps. Practical integration development using APIs, Python or infrastructure as code, or experience building reference implementations and technical demonstrations. Familiarity with AI software ecosystems or partner solutions built around major cloud and data platforms. I-PL1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Cloud Network and Infrastructure Engineer is responsible for designing, implementing, securing, and optimizing the Bank's hybrid infrastructure across Amazon Web Services (AWS) and on-premises environments. The role ensures the availability, reliability, performance, scalability, and security of enterprise infrastructure while supporting business-critical systems, cloud adoption, disaster recovery, and operational excellence. This role is ideal for someone who has strong expertise in cloud infrastructure, enterprise networking, systems administration, and infrastructure security, with the ability to manage hybrid environments in a fast-paced financial services organization. What You Will Do Design, deploy, administer, and support AWS cloud infrastructure, including compute, networking, storage, identity, monitoring, backup, and security services. Manage on-premises infrastructure, including Windows and Linux servers, virtualization platforms, storage, firewalls, switches, wireless infrastructure, and data center environments. Configure and maintain secure hybrid connectivity between AWS and on-premises environments using VPN, Direct Connect, routing, DNS, load balancing, and network segmentation. Monitor infrastructure performance, availability, capacity, and security using appropriate monitoring and alerting tools. Support business-critical applications through proactive incident management, troubleshooting, and root cause analysis. Implement and maintain infrastructure security controls, including IAM, access management, patch management, vulnerability remediation, encryption, logging, and firewall administration. Develop and maintain backup, disaster recovery, high availability, and business continuity solutions. Automate infrastructure provisioning and operational tasks using scripting and Infrastructure-as-Code (IaC) tools. Maintain infrastructure documentation, architecture diagrams, asset inventories, configuration baselines, and operational procedures. Participate in change management, incident management, problem management, audit activities, and compliance remediation. Optimize infrastructure and cloud costs through resource utilization reviews and capacity planning. Collaborate with Security, Applications, Database, Service Desk, and Business teams to deliver reliable infrastructure services. Requirements What You Bring Educational Qualification Bachelor's degree or Higher National Diploma in Computer Science, Information Technology, Engineering, or a related discipline. Professional Certifications AWS Certified Solutions Architect (Associate or Professional). AWS Certified SysOps Administrator. CCNA or CCNP. CompTIA Network+ or Security+. Microsoft Certified (Azure Administrator), VMware, Linux, or equivalent certifications. ITIL Foundation certification is an added advantage. Experience Minimum of 3–5 years of experience in Cloud, Network, Systems, or Infrastructure Engineering roles. Hands-on experience managing AWS cloud infrastructure and enterprise on-premises environments. Experience supporting hybrid cloud infrastructure within financial services, fintech, banking, or other regulated industries is an added advantage. Professional Competencies Strong knowledge of AWS services, including EC2, VPC, IAM, S3, RDS, CloudWatch, CloudTrail, Route 53, ELB, Auto Scaling, AWS Backup, and Systems Manager. Strong networking knowledge covering TCP/IP, routing, switching, VLANs, VPNs, DNS, DHCP, NAT, firewalls, wireless networks, and network security. Experience administering Windows Server, Linux, Active Directory, virtualization platforms, storage, backup, and patch management. Knowledge of infrastructure automation using PowerShell, Bash, Python, Terraform, CloudFormation, or similar tools. Strong understanding of infrastructure security, access controls, vulnerability remediation, hardening, encryption, logging, and compliance. Experience with infrastructure monitoring, capacity planning, incident response, performance tuning, and root cause analysis. Excellent analytical, troubleshooting, communication, and stakeholder management skills. Strong ownership mindset with attention to detail and the ability to work effectively under pressure. Ability to collaborate across Infrastructure, Security, Applications, Audit, and Business teams while driving continuous improvement. This Role Is Ideal For You If: You enjoy designing, managing, and optimizing cloud and hybrid infrastructure. You are passionate about cloud technologies, networking, and infrastructure security. You enjoy troubleshooting complex technical issues and improving system reliability. You thrive in highly available, mission-critical environments. You enjoy automating infrastructure and improving operational efficiency. You work well across cross-functional teams and can effectively manage multiple priorities. You May Not Enjoy This Role If: You prefer purely application development over infrastructure and platform engineering. You are uncomfortable responding to production incidents or participating in on-call support. You dislike troubleshooting complex infrastructure and networking issues. You are not interested in security, compliance, or operational governance. You prefer highly repetitive work with limited opportunities for continuous improvement. Benefits What's In It For You Opportunity to build and manage enterprise-grade cloud and hybrid infrastructure in a leading fintech organization. Hands-on experience with modern AWS technologies, automation tools, and enterprise networking solutions. Exposure to large-scale infrastructure modernization and cloud transformation initiatives. Opportunity to collaborate with Security, Product, Engineering, and Operations teams on business-critical platforms. Continuous learning, professional certifications, and career development opportunities. Competitive compensation and the opportunity to solve complex, real-world technology challenges.

Location: Bangalore Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced Senior Cloud Infrastructure Engineer with 5+ years of experience to help build, scale, and optimize the infrastructure and developer platforms that power our engineering teams. In this role, you’ll take ownership of critical cloud infrastructure, CI/CD pipelines, and developer tooling, ensuring our engineers can build, test, and deploy software efficiently, securely, and reliably. As a senior member of a rapidly evolving team, you’ll play a key role in driving technical decisions, establishing infrastructure best practices, and improving the overall developer experience. You’ll work closely with engineering teams to identify bottlenecks, automate processes, and build scalable solutions that support Cyberhaven's continued growth. WHAT YOU'LL DO - Own and improve CI/CD pipelines using GitHub Actions, ArgoCD, and Terraform to enable reliable, automated, and efficient software delivery. - Design, build, and scale cloud infrastructure on Google Cloud Platform (GCP), leveraging Kubernetes (GKE), Terraform, and managed cloud services. - Drive improvements in developer productivity by identifying and eliminating bottlenecks across build, test, deployment, and release processes. - Improve infrastructure reliability, scalability, security, and performance through automation, monitoring, and proactive optimization. - Take ownership of infrastructure challenges, troubleshoot complex production and development environment issues, and implement long-term solutions. - Establish and promote infrastructure-as-code, GitOps, and cloud-native engineering best practices. - Partner closely with software engineers to understand developer pain points and deliver scalable self-service infrastructure and tooling. - Define and track key metrics around deployment efficiency, build times, infrastructure reliability, and developer experience. - Contribute to technical architecture discussions, mentor engineers, and help establish engineering standards and documentation. WHO YOU ARE - 5+ years of hands-on experience in Cloud Infrastructure, Platform Engineering, DevOps, Site Reliability Engineering (SRE), or Developer Experience. - Strong experience designing, deploying, and managing production-grade infrastructure on GCP (preferred) or another major cloud platform. - Deep hands-on expertise with Kubernetes (GKE), Terraform, and containerized environments. - Proven experience building and maintaining CI/CD pipelines using GitHub Actions, ArgoCD, or similar technologies. - Strong understanding of Infrastructure as Code (IaC), GitOps, cloud-native architecture, and deployment automation. - Experience improving developer workflows, reducing deployment friction, and optimizing build and release processes. - Strong troubleshooting and debugging skills across cloud infrastructure, Kubernetes clusters, and CI/CD systems. - Proficiency in scripting or programming languages such as Python, Go, or Bash to develop automation and internal tooling. - Experience with monitoring, observability, cloud security, and infrastructure performance optimization. - A strong sense of ownership, with the ability to independently drive infrastructure initiatives from design through implementation. - A collaborative, proactive engineer who enjoys solving complex infrastructure challenges and enabling other engineering teams to move faster. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Shanghai, China We are seeking a highly skilled and motivated Cloud Infrastructure and Security Engineer to implement, operate and manage scalable, secure and resilient public cloud infrastructure. The ideal candidate will have experience with public cloud platforms (preferably Tencent Cloud), understanding of cloud-native security service and practice, and a passion for building infrastructure as code. Responsibilities: Manage daily operations of enterprise cloud platforms (Tencent Cloud) including resource provisioning, deployment, monitoring and incident resolution to ensure the stability of business systems; Deploy cloud-native infrastructure components, e.g. VPCs, subnets, routing, computing, storage and load balancing services Build and manage containerized environments e.g. Tencent TKE Enforce security best practices across public cloud environments including network segmentation, encryption, IAM and etc. Maintain access control policies under Tencent CAM and Group Account Management Ensure compliance with MLPS v2.0 Required Qualifications: Bachelor’s degree in Computer Science, Engineering or related field (or equivalent experience) 2+ years of experience in cloud infrastructure and/or security engineering roles Strong knowledge of Tencent Cloud platform and services Hands-on experience with VPC design, Network Protection, IAM Familiar with CI/CD pipelines and containers Knowledge of scripting languages, e.g. Python, Bash or PowerShell Desired Qualifications: Cloud certifications (Tencent Cloud Certificate, AWS Certificate) Experience with MLPS v2.0 Knowledge of Terraform or similar Infrastructure as a Code tools Employment Type: employment contract with FESCO Adecco, a professional personnel company in China

Задачи: — Проектировать, развертывать и управлять инфраструктурой AWS от сетей до мультиаккаунтной архитектуры и платформ EKS. — Автоматизировать развертывание и обновления с помощью Infrastructure-as-Code (Terraform/OpenTofu) и GitOps. — Сотрудничать с продуктовыми и функциональными командами для создания возможностей самообслуживания и поддержания автономии разработчиков. — Обеспечивать надежность, безопасность и экономичность платформы, включая соответствие требованиям FedRAMP и FIPS. — Разрабатывать новые архитектурные возможности для поддержки масштабируемости, устойчивости и AI-нагрузок. — Участвовать в общем дежурстве для поддержания стабильности платформы. Требования: — Опыт работы не менее 5 лет в роли Platform, DevOps, Software или Site Reliability Engineer. — Глубокие практические знания AWS сервисов: VPC, CloudFront, API Gateway, EKS. — Владение Kubernetes и Infrastructure as Code (Terraform или OpenTofu) с подходом GitOps. — Высшее образование в области компьютерных наук, инженерии или эквивалентный опыт. — Готовность проживать или переехать в Мадрид, Испания. — Свободное владение английским языком. Плюсом будет: — Опыт работы в средах с требованиями соответствия (FedRAMP или FIPS). — Опыт создания внутренних платформ для разработчиков (IDP) с современными инструментами. — Опыт работы с архитектурами на основе ячеек или мульти-региональными архитектурами в масштабе. Условия: — Постоянный контракт с конкурентной оплатой и ежегодным бонусом за результаты. — Гибридный формат работы с офисом в центре Мадрида рядом со стадионом Бернабеу. — Частная медицинская страховка (Sanitas) и полностью оплачиваемые суточные ваучеры на питание. — Неограниченный оплачиваемый отпуск плюс 23 стандартных праздничных дня и 3 дня волонтерства. — Гибкий график, компенсация абонемента в спортзал, а также компенсация расходов на уход за детьми и транспорт. — Возмещение до 50% стоимости курсов английского и испанского языков.

Location: Singapore; Australia Workplace: Remote We are committed to providing our customers with reliable and secure services so we are building out our newly formed Site Reliability Engineering team. As one of the first joiners to our Reliability Engineering Team at ClickHouse, you will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure that runs ClickHouse databases. You will collaborate with different teams like Control Plane, Dataplane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our ClickHouse services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, serverless ClickHouse Cloud. What will you do? - Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse. - Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud. - Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents. - Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers. - Continuously improve the reliability and performance of our ClickHouse services. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities. - Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime. About you: - Bachelor’s or Master’s degree in Computer Science or a related field. - At least 8 years of experience in Site Reliability Engineering or a related field. - Previous experience using ClickHouse in production.  - Hands on experience with Go and/or Python.  - Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus. - Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm. - Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability, and data governance. - You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability. - Excellent communication and interpersonal skills. Note: We can only hire for candidates with a valid work authorization status in the UK, Netherlands, Sweden, Germany, France, Spain, Italy, Portugal, Poland or Czech Republic at this time.  #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Summary: Lead the Switchboard team, which owns the Tenant management product for Dedicated environments. This team is diverse in skills (Frontend, Backend and Reliability engineers) and owns the product end to end. The product enables self-service and workflow automations for customers and internal operators of our large scale Dedicated tenant fleet. Key Responsibilities: Lead the fullstack Switchboard team responsible for GitLab Dedicated’s customer-facing control panel, and set clear direction for how the team delivers and evolves that product. There is a strong coordination with the assigned Product Manager. Hire and develop a high-performing team  where team members can thrive and produce results with quality and speed. Partner with Technical Team Leads to provide direction and act as final decision-maker and unblocker of the team to move forward fast. Partner closely with Product and Design on the customer-facing control panel, including wireframes and UI direction for external users. Own planning with the Product Manager, including priorities, dependencies, and the quarterly delivery epic. Ensure fast, high quality and  cross-functional execution across frontend, backend, UX, product, and technical writing. Drive improvements in quality, security, and performance. Support the team’s mission of enabling GitLab Dedicated customers to manage their tenant environments while reducing manual operations on the large scale Dedicated fleet. Take part in on-call or operational support where your team’s ownership model requires it. We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams. What you'll bring: Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience with fleet management products, including Terraform, Kubernetes, AWS and automated provisioning at scale (20+ clusters) Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Barcelona, Spain; Madrid, Spain About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area. Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers. What You’ll Do Lead a strong engineering team You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM. You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed. Build strong product You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and execution The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. You will: Own planning and operational execution across multiple engineering workstreams. Create visibility into priorities, dependencies, timelines, and resource allocation. Help the team turn broad technical direction into an executable roadmap. Identify and remove blockers before they significantly impact delivery. Balance new development, customer commitments, operational work, and technical debt. Define meaningful engineering metrics and use them to identify opportunities for improvement. Keep stakeholders informed about progress, risks, and trade-offs. Plan release and update cycles of the product. Maintain the product, be responsible for defects triaging and mitigation. Stay close to technology This is strictly not a purely people-management role. Technical background and experience is a must. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms. Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively. What We’re Looking For We are looking for someone with: Significant software engineering experience before or alongside engineering management. Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems. Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms. Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices. Experience managing technical debt alongside product and business priorities. Ability to understand complex technical discussions without needing to personally own every implementation decision. Strong stakeholder management and cross-functional communication skills. Experience hiring, coaching, and developing engineers. A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. What Makes Someone Successful in This Role You are comfortable joining a team where engineers may understand individual systems more deeply than you do. Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general. Most importantly, you combine technical credibility with strong people and execution leadership. Nice to Have Experience with some of the following would be particularly relevant: Golang or Rust; understanding of WASM platform. Basic understanding of formal grammar, AST, compiler frontends. Observability and operational tooling. Open-source development. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure. Multi-repository development environments. Developer-facing APIs, SDKs, libraries, or integrations. (REQ ID: 2582)

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $314,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   We are seeking passionate and skilled software engineers to join our new team in NYC. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.   What You Will Do   Depending on your skills and field of expertise, you will be involved in key components of our technology, including:   Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. - Ensure high performance and reliability across our distributed systems. - Contribute to systems powering inference, billing, AI tooling, observability, and developer experience. System Architecture - Design and implement efficient, secure and scalable architectures that support our fast-growing products. - Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. Code Quality - Write clean, maintainable and well-documented code. - Participate in code reviews and contribute to technical standards and best practices. Cross-functional Collaboration - Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users. - Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience. Problem-Solving & Innovation - Tackle complex engineering challenges, from distributed systems to AI product integration. - Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.   What We're Looking For   • Degree in Computer Science, Software Engineering, or equivalent practical experience. • Proficiency in Python or another backend language (Golang, Kotlin, C#). Engineers are assessed in their preferred language during a live coding session. • Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures. • Strong problem-solving abilities and attention to detail. • Ownership mindset capable of shipping end-to-end features with minimal oversight. • Excellent communication skills and collaborative attitude. • Team-oriented, low-ego mindset and curiosity for learning.   Now, it would be ideal if you had experience with: • Full-stack exposure • Working closely with an API & developer ecosystem • Deploying software to a diverse set of environments (cloud, on-premises, etc.) • Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...) • AI/ML engineering • Observability and monitoring tools (Prometheus, Grafana, Datadog…). • UX and product-centric mindset.   Hiring Process   • Introduction call - 30 min • Live-coding interview - 45 min • System Design interview - 45 min • Hiring Manager interview - 30 min • Deep Dive Interview (only for leads & staff engineers) - 60 min • Culture-fit discussion - 30 min • Reference checks   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA About the role The Infrastructure Engineering organization comprises three sub-teams: Core Infrastructure (which manages the infrastructure systems that power Chime, including AWS, Networking, Kubernetes, Terraform, and Observability), Infra Platform , and Data Infra (which provides infrastructure support for the Data Engineering organization). This role is on the Core Infrastructure team , where we manage the Infrastructure components that power Chime and make sure our members are able to use Chime products reliably. This includes our Cloud operations, Observability layer and Compute layer. In this role, you can expect to Automate everything, including scaling, monitoring, and operations. Build tools to enable self-service both within the team and across all of Chime engineering. Tooling is written in Ruby on Rails and Go Lang. Design, build, and support Chime's cloud infrastructure using automation and infrastructure-as-code. Adapt new technologies to make Chime run as efficiently and reliably as possible. Partner with product development engineers to build services according to modern design patterns; for example, the 12 Factor App methodology. Develop strong relationships with engineers, managers, and other colleagues based on trust, empathy, and technical expertise. Be a constant advocate and adopter of AI tools and evangelize agentic AI workflows in a way that is safe and reliable. To thrive in this role, you have More than 2 years of cloud and Infrastructure experience Strong development experience in Ruby on Rails and Go Lang. Previous professional experience in a DevOps/SRE/ProdEng role supporting customer-facing web services. Previous success in enabling effective partnerships and strong communication with other engineers and teams. Experience managing Kubernetes clusters cloud hosted or self hosted. Experience building and managing highly-available public cloud infrastructure and services, with an emphasis on stability, scalability, and security. Experience using configuration management and infrastructure-as-code tools, including maintaining Terraform modules. Experience supporting relational or no-SQL databases, message buses, caching services, and other common service components. Familiarity with common monitoring, logging, and observability platforms. A positive attitude, a collaborative mindset, and a focus on the customer. Experience with some of this tech - AWS services, Kubernetes, ArgoCD, Datadog, Terraform #LI-WW1 #LI-Remote Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $133,000 — $184,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We are seeking our second IT Engineer to join our growing team in San Francisco. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team. This role can be worked out of SF or NYC.   WHAT YOU'LL DO Infrastructure & Automation - Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth - Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools - Implement monitoring and documentation practices that enable operational excellence Client Platform Engineering - Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however. - Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems - Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale - Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing Security & Identity Management - Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege - Identify and implement security enhancements across our SaaS stack - Partner with our Security team to drive improvement of our enterprise security posture SaaS Administration - Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management - Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface - Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work - Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product. Core IT Operations - Provide support to employees globally across hardware, software, networking, and IT tools - Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one   WHAT YOU'LL BRING - 5+ years of experience in IT engineering and systems administration - Deep proficiency with Okta and Okta Workflows - Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation - Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems - Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations - Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase - Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster - Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT - Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs - Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products - Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)   - Annual salary range: $150,000-$170,00 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking a founding Team Lead of our Applied AI Engineering Deployment team in Korea. The Applied AI Engineering Deployment team is focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. This is a player-coach role with roughly 70% hands-on technical work, and 30% people leadership. Applied AI Engineers, Deployment at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, Deployment responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.   What you will do   - You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. - You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - You’ll be the people lead for the Applied AI Engineering Deployment Team in South Korea. You will mentor and grow your direct reports, and help shape the Applied AI Engineering practice in Korea, and APAC.   About you   - You are fluent in English and Korean - You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field - You have 8+ years of experience in engineering, with a strong DevOps or Site Reliability Engineering background - You have experience leading, mentoring, or managing engineers. Formal direct reports or informal technical leadership both count - You are comfortable being a founding lead in a new location: ambiguity, setting norms, and working across time zones - You're experienced with deploying and managing AI-based products in production environments - You are fluent in Python - You have experience with containerization technologies such as Docker and Kubernetes - You have experience with CI/CD pipelines and automated deployment tools - You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure - You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible - You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences   Ideally you have   - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager - Familiarity with AI frameworks such as PyTorch or TensorFlow - Contributions to open-source projects, particularly in the space of DevOps or AI     WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Platform team, you will shape the reliability, scalability, and performance of our platform and customer-facing applications. You’ll work closely with software engineers and research teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads. - Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters. - Operate systems and troubleshoot issues in production, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis. - Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform. - Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments. - Build a cloud-agnostic platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Work with the security team to ensure infrastructure adheres to best practices and compliance requirements. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Amsterdam; Munich; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB   Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!   Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.   WHAT YOU WILL DO   • You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. • You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.   ABOUT YOU   • You are fluent in English • You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field • You have 2+ years of experience in a DevOps or Site Reliability Engineering role • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible • You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences IDEALLY YOU HAVE: • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager • Familiarity with AI frameworks such as PyTorch or TensorFlow • Contributions to open-source projects, particularly in the space of DevOps or AI     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Larnaca, Cyprus This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). This project focuses on enabling enterprise grade AI and GenAI capabilities across banking systems by implementing robust MLOps practices and cloud native infrastructure. The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way. Design and maintain CI/CD and MLOps pipelines for AI/ML solutions. Deploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps. Automate infrastructure using Terraform, Bicep, or ARM templates. Implement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation. Set up monitoring, logging, alerting, and operational support for AI services and model endpoints. Support model versioning, release management, rollback, and production governance. Work closely with data scientists, AI engineers, cloud architects, security, and banking IT teams. Ensure solutions meet banking standards for security, auditability, resilience, and compliance. 7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience. Strong experience with Azure DevOps, CI/CD pipelines, Git, YAML, and release management. Experience with Azure Machine Learning and/or MLOps platforms. Practical knowledge of Azure OpenAI, GenAI applications, or AI service deployment. Experience with Docker, Kubernetes, and AKS. Experience with Infrastructure as Code: Terraform, Bicep, or ARM. Good understanding of monitoring tools such as Azure Monitor, Application Insights, Log Analytics, Grafana. Scripting skills in PowerShell, Python, or Bash. Experience working in regulated enterprise environments, preferably banking, fintech, or insurance. Experience with RAG pipelines, prompt orchestration, MLflow, or Prompt Flow. Knowledge of Microsoft data platforms: Databricks, Synapse, Data Factory, Microsoft Fabric, Purview. Understanding of AI governance, model risk, data privacy, and audit requirements. Experience with Microsoft security tools such as Defender for Cloud or Sentinel.