Cloud Infrastructure Engineer

Future builds digital personal training experiences that connect people with expert coaches through a seamless app. Since 2017, the company has grown from an idea in a San Francisco café to the largest provider of personal training sessions in the US. In January 2025, Future merged with Autograph, founded by Tom Brady, and is expanding its reach through new partnerships and AI-driven coaching tools. Future continues to invest in technology, grow its coaching roster, and form partnerships with leading athletes. The team is focused on shaping the future of fitness by making expert coaching accessible to more people. Role overview This remote Cloud Infrastructure Engineer position centers on designing, building, and maintaining the cloud platform that underpins Future’s products. The role is hands-on and impacts daily operations for engineering teams, focusing on reliability, security, and efficiency. What you will do Develop and maintain infrastructure-as-code best practices using AWS CDK, keeping cloud resources version-controlled, repeatable, and peer-reviewed. Design and manage AWS infrastructure components, such as ECS, RDS Aurora, API Gateway, S3, and networking, with attention to reliability, performance, and cost efficiency. Build and support an observability stack, including structured logging, distributed tracing, and monitoring, to provide insights into system performance. Requirements Strong experience with AWS and a focus on building resilient, automated systems. Commitment to operational excellence, security, and cost efficiency. Emphasis on enabling engineering teams to deliver work quickly and confidently.

About the Role mercor is hiring a Cloud Infrastructure Security Engineer in San Francisco or New York City. This role focuses on protecting cloud-based systems and data across the company. The engineer will design, implement, and monitor security controls to defend cloud infrastructure against threats. What You Will Do Develop and maintain security measures for cloud environments Monitor cloud infrastructure for vulnerabilities and incidents Respond to security threats and support incident investigations Work to ensure compliance with industry security standards Contribute expertise to strengthen overall security posture Location This position is based in San Francisco or New York City.

Join Our Innovative TeamThe Applied Engineering team at OpenAI is dedicated to bridging the gap between research, engineering, product, and design, delivering cutting-edge AI technology to consumers and businesses alike.As a pivotal member of our team, you will manage the core infrastructure that underpins products such as ChatGPT and our API. This includes overseeing our Kubernetes clusters, infrastructure deployment, networking stack, cloud abstractions, and more.Our mission is to learn from our deployments and ensure the responsible and safe use of AI technology. We place a higher priority on safety than on unchecked growth.About Your RoleAs a vital contributor to the cloud infrastructure team, you'll be responsible for constructing and maintaining infrastructure abstractions that facilitate swift and scalable product delivery.This position is based in our San Francisco, CA office.Your Responsibilities:Architect and develop robust development and production platforms that ensure reliability and security at scale.Optimize our infrastructure for scalability to meet future demands.Foster a diverse, equitable, and inclusive work culture that encourages open communication and challenges conventional thinking.Participate in an on-call rotation to maintain the reliability of the systems we build and respond to critical incidents as necessary.You Will Excel in This Position If You:Possess over 5 years of experience in building core infrastructure.Have extensive experience with orchestration systems such as Kubernetes at scale.Are skilled in creating abstractions over cloud platforms.Take pride in developing and managing scalable, reliable, and secure systems.Thrive in environments characterized by ambiguity and rapid change.This role is exclusively located at our San Francisco headquarters. We offer relocation assistance to qualified candidates.

Role Overview mercor is hiring a Cloud Infrastructure Security Engineer in San Francisco. This role focuses on protecting cloud systems, maintaining data integrity, and applying security protocols to guard against new threats. Collaboration with cross-functional teams is central to designing and maintaining secure cloud environments.

Join Our Mission at WatershedWatershed is a pioneering enterprise sustainability platform, trusted by industry leaders such as Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens. Our platform empowers organizations to manage climate and ESG data effectively, generate audit-ready metrics for voluntary and regulatory compliance including CSRD, and actively pursue significant decarbonization efforts. We are seeking passionate team members who are eager to contribute to product development in a mission-driven startup environment, and who are excited to help shape a thriving team culture.With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a robust remote workforce across the US and Europe, we aim to create a dynamic and inclusive workplace that welcomes your participation!Your RoleAre you passionate about developing both cutting-edge technology and high-performing teams? Watershed is scaling its world-class engineering team, and we’re looking for an Engineering Manager to lead our Cloud Infrastructure team. This team plays a critical role in enabling our growth by managing the foundational infrastructure that supports Watershed’s multi-region deployments on GCP.We seek a leader who will articulate an inspiring vision for the team, tackle a diverse array of complex challenges, and empower each engineer to achieve their best work. As one of the initial managers in a rapidly growing organization, you will not only influence engineering culture but also the broader culture at Watershed. Together with our leadership and HR teams, you will help foster a diverse, inclusive, and dedicated workforce.Key ResponsibilitiesLead the Cloud Infrastructure team as the primary manager, balancing people management, technical leadership, and product strategy.Inspire and guide the team through significant growth phases ($100M+), including recruiting new talent and adapting the team's vision and objectives as business needs evolve.Collaborate closely with engineering peers and cross-functional partners, including Security and Finance, to align direction, set priorities, and ensure seamless collaboration.

Role overview Crusoe Energy Systems, Inc. seeks a Staff Cloud Infrastructure Engineer to shape and support its cloud infrastructure, with a primary focus on VMware environments. This position is located in San Francisco, CA. What you will do Design, implement, and maintain scalable cloud infrastructure using VMware technologies. Work closely with team members to support cloud operations for Crusoe's energy solutions. Apply technical expertise to improve reliability and efficiency throughout cloud systems. The team Join a group of engineers committed to building and maintaining cloud platforms that support innovative energy projects.

About Crusoe Energy Systems Crusoe Energy Systems manages every layer of AI infrastructure, from energy generation to advanced computational resources. The team focuses on making AI infrastructure more efficient and environmentally conscious, addressing the growing global demand for computing power. Based in San Francisco, Crusoe brings together experts in energy, manufacturing, data center construction, and cloud services. Role Overview: Senior Software Engineer - Cloud Infrastructure This Senior Software Engineer position centers on designing and building cloud infrastructure management systems for Crusoe Cloud, a vertically integrated, AI-focused platform. The engineer will help deliver complete solutions that support the company’s business goals, including system planning, monitoring, deployment, and operations. The role involves hands-on work developing platforms, tools, and frameworks that emphasize reliability, scalability, operational efficiency, and ease of use. As Crusoe Cloud grows, this engineer will play a key part in streamlining infrastructure planning and management processes. What You Will Do Work closely with cross-functional teams to design and implement infrastructure management software and availability platforms for customers using Crusoe’s AI infrastructure. Help improve the reliability, scalability, and security of systems and platforms. Develop workflows that support business objectives and performance targets. Build and maintain high-performing, highly available cloud solutions to meet expanding infrastructure needs. Who Thrives Here Engineers who enjoy solving complex problems, move quickly, and want to work alongside a diverse, supportive team will find this role rewarding. Crusoe values collaboration and a shared drive to advance AI infrastructure. Location San Francisco, CA - US

About Us:At novita-ai, we are a rapidly growing global provider of AI cloud infrastructure, leading the charge in the artificial intelligence revolution. Our innovative platform equips developers and enterprises with powerful, scalable, and user-friendly solutions such as Model APIs, GPU Instances, and Serverless Computing. As organizations around the globe strive to integrate AI into their offerings, we serve as the essential engine that fuels their innovative efforts.Join our world-class team and contribute to our expanding customer base. This unique opportunity allows you to be part of a dynamic company in a hyper-growth market, where your technical skills will directly impact customer success and drive our business forward.The Role:As a Solutions Engineer, you will act as the primary technical leader and trusted advisor for our clients throughout their journey. You will collaborate closely with the sales team to bridge the gap between complex customer challenges and our sophisticated technical solutions. Your mission is to build technical credibility, demonstrate the capabilities of our platform, and design tailored solutions that empower our clients to achieve their AI-related business objectives.What You'll Do:Technical Discovery & Solution Design: Collaborate with Account Executives to gain a deep understanding of customer needs, technical requirements, and business goals. Develop elegant and effective solutions utilizing our AI infrastructure stack (Model APIs, GPU Instances, Serverless).Product Demonstration & Proof of Concept (POC): Conduct engaging, customized product demonstrations and interactive workshops. Plan, manage, and execute successful POCs, showcasing the value and performance of our platform within the client’s environment.Technical Evangelism & Trusted Advisory: Communicate the value proposition of our platform to diverse audiences, including both technical and non-technical stakeholders, from engineers to C-level executives. Establish yourself as the go-to expert for customers on best practices in AI infrastructure.Sales Enablement & Market Feedback Loop: Create and maintain technical sales materials, including whitepapers, best practice guides, and demo scripts. Serve as the voice of the customer, relaying valuable feedback from the field to our Product and Engineering teams to influence our product roadmap.Onboarding & Implementation Guidance: Facilitate a seamless post-sales transition by providing initial onboarding support and architectural guidance, setting customers up for sustained success.

At Judgment Labs, we are pioneering the way that Agent Behavior Monitoring (ABM) is approached. Unlike conventional observability methods that primarily focus on logging exceptions and latency, our innovative ABM technology identifies behavioral anomalies such as instruction drifts and context retrieval losses in large-scale production environments.Our platform is trusted by numerous teams developing autonomous agents, enabling them to gain insights into system behavior post-deployment. By moving beyond reactive incident management, our users can analyze patterns across conversations and workflows, correlate regressions to specific interaction types, and accurately identify where reliability issues arise within their operational context.Recent funding success: We have successfully raised over $30M across two funding rounds within the last five months, attracting notable investors such as Lightspeed, SV Angel, Valor Equity Partners, and more.

About ValonValon is pioneering the AI-native operating system tailored for regulated finance, starting with mortgage servicing. We are a Series C company, supported by a16z, revolutionizing industries that have long been deemed too complex for innovation. Instead of layering solutions on antiquated systems, we created and operate a mortgage servicing business managing over $110 billion in loans, giving us an intimate understanding of the intricacies necessary to develop effective software for regulated sectors.Our achievements are impressive; we have transformed mortgage servicing from a business with 0% margins to one that boasts margins exceeding 60%, all while significantly enhancing customer experiences. Major enterprise contracts are now being deployed across the industry.ValonOS, our unified platform, standardizes and automates every process, making it ideally suited for the AI era. With rich data flowing through a single system, AI agents not only automate tasks but also continually enhance overall operations. Mortgage servicing is just the starting point of our vision to revolutionize regulated industries and beyond.Engineering at ValonOur engineering team drives a modern software ecosystem aimed at disrupting one of the most outdated and heavily regulated sectors in finance: mortgage servicing. We have laid the groundwork for a scalable platform capable of managing billions in assets with precision and reliability. Our current focus is on scaling infrastructure, improving developer experiences, and building high-leverage systems that facilitate rapid product iterations and long-term growth. We are a close-knit, high-agency group of engineers from companies like Stripe, Jane Street, Meta, and Google, all striving to accomplish the best work of our careers—together.While our headquarters are located in New York City, we are also opening a new office in San Francisco this year and fully support remote work.About the RoleWe are seeking an Engineering Manager to spearhead our Cloud Infrastructure initiatives within the Platform team. In this role, you will lead and expand a high-impact team responsible for the foundational infrastructure that powers all of Valon’s products. You will oversee our production systems (compute, databases, storage, and networking) to ensure our platform remains scalable, secure, and reliable. We currently manage over 100 million background jobs daily and anticipate scaling by over 10x within the next two years. Upcoming projects include:Implementing new data stores to support our growth: Vitess, Clickhouse, Redis.Enhancing our batch processing control capabilities.

About UsBraintrust is at the forefront of AI observability, seamlessly integrating evaluations and observability into a single workflow. Our platform empowers innovators by providing them with the critical insights needed to understand AI performance in production environments and the tools required to enhance it.Recognized by leading companies such as Notion, Stripe, Zapier, Vercel, and Ramp, Braintrust enables teams to compare AI models, test prompts, and detect regressions, transforming production data into superior AI with each iteration.Role OverviewWe are seeking a talented Cloud Infrastructure Engineer to join our team and contribute to the development of a robust and scalable infrastructure. You will provide developers with a premium platform to deploy code efficiently and confidently. Your role will involve leading initiatives across Terraform, Kubernetes, CI/CD, observability, and support, significantly impacting Braintrust's internal operations and the self-hosted experiences of our customers.This position is pivotal as you will manage our AWS environment while assisting customers in deploying our infrastructure on AWS, Azure, and GCP.Your ResponsibilitiesDevelop and maintain Terraform modules for both internal infrastructure and customer deployments.Engage directly with customers via Slack to assist with self-hosting and troubleshoot infrastructure challenges, creating tools to simplify their support process.Take ownership of our CI/CD pipeline, aiming to reduce build times, enhance failure visibility, and facilitate safer, quicker releases.Centralize and scale observability through logs, metrics, dashboards, and alerts.Collaborate with engineering teams to create and enhance a secure, developer-friendly infrastructure platform.Support multi-cloud deployment strategies, primarily in AWS, while also extending support for Azure and GCP for our enterprise clientele.Implement tools and automation to bolster deployment, rollback, and infrastructure reliability.Ideal Candidate ProfileA minimum of 5 years of experience in DevOps, SRE, or Infrastructure Engineering roles.In-depth knowledge of Terraform and experience with at least one major cloud provider, preferably AWS.Proficient in Kubernetes, with capabilities in deploying, debugging, and scaling real workloads.Strong programming skills in scripting languages like Python, Typescript, or Go.Experience in supporting production systems and managing incidents effectively.Comfortable working closely with customers in a support or deployment capacity.Bonus: Familiarity with monitoring and logging tools, as well as knowledge of security best practices.

About UsAt Sierra, we are revolutionizing the way businesses engage with their customers by building a cutting-edge platform that harnesses the power of AI. Our headquarters is located in the vibrant city of San Francisco, with additional offices expanding in Atlanta, New York, London, France, Singapore, and Japan.Our company culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and foster an environment where innovation thrives.Sierra was co-founded by visionary leaders Bret Taylor, who currently serves as the Board Chair of OpenAI and has a rich history with Salesforce and Facebook, and Clay Bavor, who previously led Google Labs and spearheaded initiatives like Google Lens and Project Starline.Your RoleAs a Software Engineer focusing on Infrastructure at Sierra, you will play a pivotal role in designing, constructing, and maintaining the foundational systems that empower our AI platform. Your expertise will ensure that our infrastructure is not only secure and reliable but also scalable, allowing product teams to execute their work with agility and confidence.Guarantee the reliability, scalability, and performance of our platform and LLM inference serving in response to increasing traffic demands.Develop and oversee cloud infrastructure using Terraform to create secure, scalable, and reproducible environments.Establish and manage a self-service infrastructure platform to empower engineering teams in deploying and operating services independently.Take ownership of and improve CI/CD pipelines and release management processes, facilitating rapid and reliable deployments across Sierra’s platform.Design and manage distributed systems utilizing distributed databases, retrieval systems, and machine learning models.Develop and sustain core data serving abstractions along with essential authentication and security features (SSO, RBAC, authentication controls).Effectively navigate and integrate our technology stack with enterprise customer environments in a scalable and maintainable manner.

About MercorMercor operates at the cutting edge of labor markets and artificial intelligence research. Collaborating with top AI laboratories and corporations, we supply the essential human intelligence that drives AI advancement.Our extensive talent network educates state-of-the-art AI models much like teachers impart knowledge to students: by sharing insights, experiences, and contextual understanding that cannot be encoded. Currently, over 30,000 experts in our network generate more than $2 million daily.At Mercor, we are pioneering a new realm of work where expertise fuels AI progress. Achieving this ambitious vision demands a dynamic, fast-paced, and deeply dedicated team. Here, you will collaborate with researchers, operators, and AI firms at the forefront of transforming societal systems.As a profitable Series C company with a valuation of $10 billion, Mercor operates five days a week from our new headquarters in San Francisco.About the RoleIn your role as an Infrastructure Engineer at Mercor, you will be instrumental in constructing and scaling the systems that support our rapid expansion. You will ensure that our infrastructure is highly reliable, cost-efficient, and capable of accommodating surges in traffic and computational demands. Your collaboration with product, research, and operations engineers will be vital in designing scalable architectures, optimizing deployments, and enhancing observability.We are broadening our search across Infrastructure roles, including Developer Productivity Engineer, Database Engineer, and Platform Engineer. Candidates will be matched to teams after the initial screening, so we encourage applications even if your expertise is predominantly in one area.What You'll Work OnDesigning and maintaining core infrastructure across cloud environments.Creating Infrastructure-as-Code workflows to automate deployments and scaling.Enhancing monitoring, logging, and alerting systems to ensure reliability.Managing CI/CD pipelines (Github, Spacelift) for seamless deployments.Assisting in disaster recovery planning and ensuring system availability.Collaborating with product and research teams to design architectures that meet workload demands.Identifying and resolving performance bottlenecks in compute, storage, and networking.

About UsAt Lavendo, we are at the forefront of AI cloud infrastructure, rapidly expanding with a significant global presence that includes R&D centers in North America, Europe, and Israel. Our exceptional team of engineers and AI researchers is dedicated to creating innovative solutions that provide the essential infrastructure for the next wave of AI-driven enterprises.We empower organizations, from Fortune 500 companies to pioneering AI startups and research institutions, allowing them to address complex AI challenges without incurring heavy infrastructure costs or the need to develop extensive in-house AI/ML teams.Our MissionWe aim to democratize access to top-tier AI infrastructure, enabling organizations of all sizes to transform ambitious AI goals into tangible outcomes. Our culture fosters creativity, embraces challenges, and thrives on teamwork.Your RoleAs a Cloud Solutions Architect (Pre-Sales), you will serve as a vital technical partner to some of the most forward-thinking AI teams globally. You will engage directly with cutting-edge GPU infrastructure, including the latest NVIDIA technology, to assist clients in designing, deploying, and optimizing AI workloads at scale. This high-profile position lies at the intersection of deep technical expertise and strategic customer interaction, significantly shaping customer experiences and platform adoption.Key ResponsibilitiesAct as a trusted technical advisor to customers throughout the entire pre-sales and onboarding process.Lead proof-of-concept initiatives, architectural workshops, presentations, and training on GPU cloud technologies and industry best practices.Work closely with customers to understand their business needs and translate them into scalable solution architectures.Develop and document Infrastructure as Code solutions, reference architectures, and technical guides in collaboration with support engineers and technical writers.Assist clients in optimizing machine learning pipeline performance and resource efficiency.Serve as a cross-functional technical expert, connecting product, technical support, and marketing teams with customer requirements.Represent Lavendo at external events, including hackathons, conferences, and industry showcases.

About the Role Hex Technologies is seeking a skilled Cloud Security Engineer to enhance our security team. In this pivotal role, you will be responsible for safeguarding our cloud infrastructure and ensuring its resilience. You will lead cloud security initiatives and work closely with infrastructure and engineering teams to protect our cloud-native applications. Key Responsibilities: Design, implement, and oversee security solutions and controls for AWS environments and Kubernetes clusters, ensuring effective isolation and sandboxing for Hex’s RCE-as-a-Service platform. Develop, deploy, and maintain infrastructure-as-code utilizing Terraform, while upholding stringent security standards. Perform comprehensive security assessments, threat modeling, and audits on AWS cloud infrastructure and Kubernetes deployments. Collaborate with development and operations teams to integrate security best practices into CI/CD pipelines. Monitor and respond to cloud security incidents, identify root causes, and propose remediation measures. Provide in-depth expertise on compliance requirements related to cloud security, including SOC 2, ISO 27001, GDPR, HIPAA, and PCI DSS. Mentor fellow engineers and advocate for cloud security initiatives throughout the organization. Qualifications: 5+ years of experience in cloud security engineering, particularly with AWS. Proven expertise in Kubernetes security, including cluster hardening, role-based access control (RBAC), network policies, and container vulnerability management. Expertise in Terraform with hands-on experience. Familiarity with AWS security services such as IAM, GuardDuty, Security Hub, CloudTrail, and WAF. Knowledge of CNAPP solutions like Wiz and SIEM solutions such as Panther. Strong understanding of secure software development lifecycle practices, CI/CD security, and DevSecOps methodologies. Relevant certifications such as AWS Certified Security – Specialty, Certified Kubernetes Security Specialist (CKS), and Terraform Associate certification are highly desirable. Additional security certifications from SANS or OffSec are a plus. Exceptional problem-solving, communication, and leadership skills.

About UsAt Imprint, we are revolutionizing the world of co-branded credit cards and innovative financial solutions, focusing on smarter, more rewarding, and brand-first experiences. We collaborate with renowned brands such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to establish modern credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our robust platform integrates advanced payment technologies, intelligent underwriting, and a seamless user experience, enabling brands to offer impactful financial products without the complexities of becoming a bank.Co-branded credit cards represent over $300 billion in U.S. annual spending, yet many are still managed by outdated banking systems. Imprint stands as the modern alternative—flexible, technology-driven, and tailored for today’s consumers. Supported by notable investors like Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team dedicated to reshaping payment methods and driving brand growth. If you thrive in fast-paced environments, enjoy tackling complex challenges, and aspire to make a significant impact, we would be delighted to meet you.Discover more about us on Imprint's Technology Blog.The TeamThe Tech Platform Engineering Team at Imprint is pioneering the democratization of access to advanced technologies, empowering teams across our organization to innovate and excel. Our commitment to redefining the Fintech landscape drives us to build secure, highly available infrastructures while equipping our engineers with comprehensive development tools, allowing them to rapidly create world-class products.Your RoleDesign, build, and manage cloud and web infrastructure with a strong emphasis on security, reliability, and scalability.Implement and maintain infrastructure components across computing, networking, and data platforms.Adhere to security best practices in cloud infrastructure, ensuring proper access control, network isolation, and secure communication between services.Monitor system health and engage in incident response, root cause analysis, and reliability enhancements.Collaborate with platform, security, and product engineers to deliver safe and efficient infrastructure solutions.

Join Fieldguide as a Senior Infrastructure Engineer and be at the forefront of our innovative infrastructure solutions. In this role, you will lead the design, implementation, and maintenance of our infrastructure systems while ensuring optimal performance, security, and scalability. Your expertise will help shape our technology strategy and drive impactful projects.

At Sift, we are revolutionizing the way cutting-edge machines are constructed, tested, and managed. Our innovative platform provides engineers with real-time visibility into high-frequency telemetry, effectively removing bottlenecks and facilitating quicker, more dependable development.Sift originated from our experience at SpaceX, contributing to projects like Dragon, Falcon, Starlink, and Starship, where the demands of scaling telemetry, debugging flight systems, and ensuring mission reliability necessitated a new kind of infrastructure. Founded by a talented team from SpaceX, Google, and Palantir, Sift is tailored for mission-critical systems where precision and scalability are imperative.As one of the pioneering engineers at Sift, your role will extend beyond just coding—you will play a crucial part in defining the architecture, shaping the product, and influencing the culture of a company dedicated to addressing real engineering challenges. If you're eager to take on intricate technical obstacles and build foundational systems that support complex machines from the ground up, we would love to connect with you.

Be part of our mission to redefine AI by shaping the narrative surrounding document understanding.Role OverviewAt LlamaIndex, our Infrastructure team lays the groundwork for our product and provides essential tools that facilitate the development, deployment, and monitoring of our code. We are tasked with designing, constructing, and scaling the core infrastructure that drives a high-capacity data platform for AI applications. We seek individuals who are passionate about creating supportive systems that enhance our engineering capabilities and contribute to our rapidly expanding product suite.Ideal candidates will have a strong background in cloud infrastructure management, navigating various scalability challenges, and enhancing the productivity of the broader Engineering team. Key traits we value in our culture include a customer-centric mindset, collaboration, diligence, and optimism. We are looking for proactive team players who are eager to help us evolve our culture as we grow.Key ResponsibilitiesCollaborate with engineering teams to develop and maintain foundational systems that empower developers and support our rapid growth.Design and execute scalable infrastructure solutions suitable for various deployment models, including SaaS, single-tenant, and private environments.Oversee and optimize cloud resources and Kubernetes clusters to ensure cost-effectiveness and high performance.Facilitate successful external customer deployments by establishing clear infrastructure guidelines and principles.Enhance the release and deployment processes to improve efficiency and reliability.Ensure compliance with applicable regulations and implement comprehensive security measures across all deployment environments.QualificationsMinimum of 5 years of engineering experience.Experience working on Platform or Infrastructure teams on substantial projects involving infrastructure components like Terraform/CDKTF, Kubernetes, Helm, testing infrastructure, release management, and observability.Proficient in optimizing cloud resource utilization.Skilled in tuning Kubernetes clusters and cloud resources for optimal performance and cost efficiency.Dedicated to cultivating LlamaIndex’s engineering culture as we expand.Ability to balance speed and pragmatism in delivering solutions.