Role Description We’re looking for a Datacenter Deployment Engineer. This role will be responsible for the execution of physical deployments, engaged in the design and layout of large scale GPU infrastructure projects. Responsibilities include: - Layout of IT equipment inside the datacenters - Taking BOMs and ensuring all hardware fits into available space, applying best practice to ensure day two maintainability. - Ensuring Datacenter environment maximums are adhered to: - Power - Cooling - Weight limits - Reviewing BOMs for interoperability - Ensuring optics/AOC/DAC are fit for purpose - Ensuring BOMs meet customer specifications - Ensuring BOMs meet Nscale project requirements - Structured cable designs - Defining and ensuring deployment standards - Cable pathing, length estimation and ordering - Working with Engineering teams for ensuring consistent deployments - Configure firewalls/routers for initial use - Work on initial switch base configurations - Onsite subject matter expert during deployments Qualifications - 5+ years of professional experience deploying, fixing and integrating IT infrastructure in data centre environments - Experience owning rack layouts or equipment placement within live or new-build data centres - Proven ability to review Bills of Materials (BOMs) and ensure hardware fits within space, power, cooling, and weight constraints while maintaining day-two operability - An understanding of data centre environmental limits, including power density, cooling capacity, and structural loading - Some experience validating hardware interoperability, including optics, AOC/DAC selection, and compatibility with switching platforms - Ability to ensure deployments meet customer specifications and internal project requirements - Practical experience designing, reviewing, and deploying structured cabling, including cable pathing, length estimation, and ordering - Strong ownership of deployment standards, ensuring consistent, repeatable installations across sites - Experience working closely with engineering and operations teams to deliver aligned, high-quality deployments - Hands-on experience with initial network device configuration, including firewalls, routers, and base switch configurations - Comfortable acting as the on-site subject matter expert during data centre deployments, troubleshooting issues in real time - Strong attention to detail, documentation, and operational discipline Requirements - Experience deploying GPU, HPC, or high-density compute environments - Familiarity with AI-focused or high-performance data centre architectures Benefits - Collaborative, supportive, and innovative environment - Highly competitive package (base + equity) with reviews every 12 months - Dynamic progression plan tailored to your ambitions - Human-First Flexibility with a remote-first team Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.

Role Description We are looking for highly motivated Software Engineering Interns who are passionate about Open Source, Go programming, and Cloud Native technologies. This internship is designed as a pathway to a full-time engineering role for candidates who demonstrate strong technical ability, ownership, and the mindset to thrive in a fast-moving environment. You will have the opportunity to work on production-grade infrastructure and contribute to technologies used by enterprises worldwide. Depending on your skills and interests, you may work on CNCF ecosystem projects such as Prometheus, CloudNativePG (CNPG), Kubernetes, and others, while collaborating with experienced engineers and interacting directly with customers. What you will do - Build and contribute to cloud native software using Go. - Work on real-world engineering challenges across Prometheus, Kubernetes, CloudNativePG (Postgres Operator), and the CNCF ecosystem. - Contribute to open source projects and upstream communities where applicable. - Debug, troubleshoot, and improve distributed systems. - Collaborate with customers to understand problems and deliver practical solutions. - Take end-to-end ownership of assigned tasks, from design to implementation and documentation. - Continuously learn and adapt to new technologies and engineering practices. Qualifications - Strong interest in Open Source software and Cloud Native technologies. - Good programming skills in Go (or a willingness to become highly proficient in Go). - Solid understanding of computer science fundamentals, Linux, networking, and distributed systems concepts. - Self-disciplined, proactive, and capable of taking ownership without constant supervision. - Strong problem-solving and debugging skills. - Excellent written and verbal communication skills. - Empathy and professionalism when working with customers and teammates. - Curiosity, initiative, and a strong desire to learn by building. Requirements - Previous contributions to Open Source projects (GitHub profile, pull requests, issues, or maintainership). - Active participation in CNCF or other open source communities. - Experience with Kubernetes, Prometheus, CloudNativePG, or related cloud native technologies. - Personal projects demonstrating systems programming, distributed systems, or infrastructure engineering. - Participation in programs such as GSoC, LFX Mentorship, or similar initiatives. Internship to Full-Time This internship is intended to identify future full-time engineers. High-performing interns will be offered the opportunity to join the team as full-time Software Engineers based on their performance, ownership, technical skills, and cultural fit. Selection Philosophy We value demonstrated ability over credentials. A strong GitHub profile, meaningful open source contributions, technical depth, ownership, and the ability to communicate effectively will stand out far more than a resume alone.

Role Description We are looking for a talented, full stack senior level engineer to help build scalable software solutions in an agile environment. The ideal candidate will have experience building APIs that interface with modern frontend technologies. Additionally, this candidate will be familiar with building and supporting applications responsible for batch processing of large and complex data. - Design and develop service based architectures and distributed systems. - Work hands-on with .NET Core/.NET Framework, React/Angular, SQL, AWS, and modern JavaScript frameworks. - Apply Domain-Driven Design (DDD) principles. - Champion AI driven SDLC process where Claude is used extensively to automate design, development, testing and CI/CD. - Drive technical redirection projects, specifically high-volume Angular-to-React conversions. - Establish and maintain rigorous coding standards and best practices across the team. Qualifications - 5+ years of professional software development experience. - Extensive experience with .NET Core / .NET Framework and SQL Server. - Experience with modern JavaScript frameworks such as React and Angular. - Strong proficiency with AWS/Azure services or other cloud-based architectures. - Strong proficiency with Claude Code. - Experience with DevOps CI/CD pipelines and Jira. - Proficiency in Domain-Driven Design (DDD) and ability to architect and implement its principles. - Hands-on experience designing and building service-based architectures and complex integration with external applications/APIs. - Experience with batch processing and automated jobs. - Domain knowledge around Orthodontics Insurance is a plus. - Familiarity with event-driven architectures. Requirements - .NET Core (3+ Yrs) - ReactJs (2+ Yrs) - AWS/Azure Cloud (3+ Yrs) - Claude AI (6 months) - Orthodontics/Insurance Domain (2 Years) - Work Timing: 2 PM to 11:30 PM IST (Afternoon Shift) - Notice Period: Prefer candidates currently serving notice or immediate joiners who can join on or before 30th Jun'26. - Communication: Excellent communication (Experience in Working in product companies preferred) - Visa Status: Must hold an H1B or another onsite visa, have an expired visa, or be an Onsite Returned resource from the USA or UK. Benefits - Remote-first work culture - Global client exposure - Challenging projects in Claude AI, Data & Cloud - Flexible work environment - Continuous learning and career growth - Competitive compensation and recognition programs - Collaborative, innovation-driven team culture

• Train and fine-tune generative models (text2image, image2image, video2image, IP-adapters) • Work with image classifiers, rankers, and image/video captioning models • Track cutting-edge CV research and open-source developments • Build and own the iterative model improvement process • Optimize inference performance: diffusion optimization, quantization • Optionally: train multimodal AI companions that combine CV and NLP