Role Description We are looking for a Senior DevOps / Infrastructure Engineer to join our existing DevOps team. This is a senior IC role with a broad technical scope: - Own complex initiatives end-to-end. - Drive collaboration across engineering and science teams. - Set a high bar for how we build and operate infrastructure. - Support R&D teams by running and evolving the compute clusters that power bioinformatics pipelines, ML training, and other HPC workloads. Highly autonomous: able to operate with minimal guidance, prioritize work independently, and take full ownership of infrastructure decisions and outcomes. Qualifications - 10+ years of infrastructure and DevOps engineering experience, with a proven track record in senior or lead IC roles. - Ability to take end-to-end ownership of complex, multi-team initiatives and drive them from design through to production. - Hands-on experience running HPC or research compute clusters: bare-metal provisioning, Slurm (or equivalent), GPU infrastructure, and shared storage (NFS, Lustre, or similar). - Comfortable operating in environments with a mix of cloud, VPS, and bare-metal systems, including legacy or non-standard setups. - Experience supporting scientific or R&D teams with mixed workloads: long-running CPU batch jobs, GPU training jobs, and interactive compute. - Deep, hands-on AWS expertise: EKS/Kubernetes, IAM, VPC networking, S3, RDS, and cost management. - Solid Terraform skills and a principled approach to infrastructure-as-code. - Strong Linux fundamentals and experience managing multi-node environments at scale. - Experience owning and improving production observability systems (Prometheus/Grafana, OpenTelemetry, ELK, or similar). - Strong security fundamentals: threat modeling, least-privilege access design, vulnerability management, and compliance frameworks. - Experience owning incident management end-to-end, including process design and continuous improvement. - Excellent communication skills; able to work directly with researchers and scientists as well as with engineering and leadership. - Fluent English. Requirements - Background in biotech, bioinformatics, or scientific computing environments (Nice-to-Have). - SOC 2 Type II audit experience (Nice-to-Have). - Monorepo tooling and developer platform engineering (Nice-to-Have). Key Responsibilities - Own our cloud infrastructure across AWS and third-party hosting and compute providers; ensure it is reliable, scalable, and cost-efficient. - Own and operate bare-metal compute clusters: node provisioning, configuration management, networking, secure access, and ongoing reliability. - Build and maintain configuration management using Ansible (or similar), ensuring reproducible and scalable server provisioning. - Set up and maintain Slurm for job scheduling across CPU and GPU node pools; ensure researchers can submit, monitor, and manage jobs without DevOps involvement. - Design and manage cluster networking: management and storage networks, inter-node communication, DNS, and secure perimeter access, including bastion/jump host setup. - Deep hands-on experience managing Linux-based infrastructure, including networking, firewalls, VPNs, and performance tuning in distributed environments. - Own disaster recovery and business continuity: define RTO/RPO targets, maintain runbooks, and run regular tests. - Manage and optimize infrastructure spend through capacity planning, right-sizing, and intelligent use of reserved and spot capacity. - Manage Kubernetes clusters, networking, and workload scheduling across cloud and on-premise environments. - Enable infrastructure-as-code practices in Terraform; drive consistency, modularity, and auditability across the codebase. - Evolve our observability platform: improve coverage, reduce alert noise, and ensure engineering teams have the visibility they need to detect and resolve issues quickly. - Own security posture across the platform: IAM policies, secrets management, network segmentation, vulnerability management, and SOC 2 compliance. - Lead incident management: on-call processes, escalation policies, runbooks, and blameless post-mortems. - Drive CI/CD improvements and developer workflow initiatives that meaningfully increase engineering throughput. - Evolve internal tooling and CLI infrastructure that engineering teams depend on daily. Values & Working Style - Ownership mindset — you take responsibility from A to Z. - Comfortable navigating ambiguity in a fast-moving startup environment. - Clear communicator who can collaborate across technical and non-technical teams. - Pragmatic problem solver focused on impact. Why This Role Matters Now As we scale our AI platform and expand into new initiatives, engineering velocity and platform reliability directly impact research outcomes and product milestones. This role plays a key part in strengthening our technical foundation during the growth phase.

Role Description As a Senior Site Reliability Engineer, you will be responsible for designing, implementing, and operating scalable, reliable, and secure infrastructure to support large-scale AI and HPC workloads. You will play a key role in building and maintaining CI/CD pipelines, Kubernetes-based environments, and observability systems that ensure high availability and performance across globally distributed platforms. Working closely with engineering, product, and operations teams, you will drive automation, enforce SRE best practices, and contribute to a resilient and efficient infrastructure ecosystem that supports mission-critical applications. Your Key Responsibilities - CI/CD & Automation: Design, build, and maintain robust CI/CD pipelines using tools such as GitLab CI, Azure DevOps, and/or Jenkins to enable rapid and secure software delivery. - Kubernetes Operations: Operate, manage, and optimize Kubernetes clusters, ensuring scalability, performance, and resilience. - Infrastructure as Code: Develop and maintain infrastructure using Terraform, Helm, Ansible, or similar tools to automate provisioning and configuration. - Observability & Monitoring: Implement and manage monitoring solutions using Prometheus, VictoriaMetrics, Grafana, and ELK/EFK to ensure system health and performance. - Incident Management: Lead root cause analysis (RCA), post-mortems, and continuous improvement initiatives to enhance system reliability. - Reliability Engineering: Define and implement SRE best practices, including SLAs, SLOs, and error budgets. - Logging & Alerting: Build and maintain logging, alerting, and tracing systems for proactive issue detection and rapid troubleshooting. - Security & Compliance: Enforce security best practices and compliance standards across CI/CD pipelines and runtime environments; support audit readiness. - Collaboration: Work cross-functionally with engineering, product, and infrastructure teams to align platform capabilities with business needs. - Mentorship: Provide guidance and mentorship to junior engineers and contribute to knowledge sharing across teams. - On-call Support: Participate in on-call rotations to support critical platform services. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. - 5+ years of experience in DevOps, Site Reliability Engineering, or platform engineering roles in production environments. - Proven experience managing Kubernetes clusters (e.g., GKE, EKS, AKS, or self-managed). - Hands-on experience with CI/CD tools and automation frameworks. - Strong experience with infrastructure-as-code tools such as Terraform, Helm, or Ansible. - Proficiency in container technologies (Docker, containerd) and orchestration with Kubernetes. - Strong scripting/programming skills (e.g., Python, Bash, Go). - Experience with observability and monitoring stacks (Prometheus, Grafana, ELK/EFK). - Solid understanding of Linux systems, networking concepts, and cloud-native security best practices. Preferred Skills/Qualifications - Experience supporting AI/ML or HPC workloads in production environments. - Knowledge of GPU resource management, workload schedulers, and performance tuning. - Familiarity with distributed systems and large-scale infrastructure environments. - Experience with incident management frameworks and reliability engineering practices. - Strong collaboration and communication skills across cross-functional teams. Compensation The U.S. base salary range for this full-time role is $109,600 to $164,400, with bonus, and benefits on top. Salary ranges are set according to the role, level, and location. The range listed represents the minimum and maximum target salary for new hires across all U.S. locations. Actual pay within this range will depend on factors such as work location, job-related skills, experience, and relevant education or training. Benefits - With a diverse team of 1,100+ employees from 68 nationalities, we foster an inclusive, innovative, and collaborative environment. - We foster a culture grounded in trust, accountability, and high performance. - Our values include: - Grit – overcoming challenges with resilience and determination. - Passion – striving for excellence in everything we do. - Impact – driving meaningful change and progress. - Our team members thrive in an environment where each contribution matters, and together, we achieve extraordinary results.

• Consultative Ownership: Work with autonomy to own problems and deliver solutions, acting as a bridge between development and operations. • Observability Architecture: Design and implement robust monitoring solutions using the LGTM stack to ensure system health and performance. • Reliability Strategy: Advise clients on defining meaningful SLOs/SLIs and managing error budgets to balance innovation with stability. • AI Assistance: Drive use of AI Agents or AI tools for intelligent automation and improving operational efficiency. • Incident Leadership: Lead post-incident reviews (Blameless Post-Mortems) to identify systemic improvements and reduce future toil. • Mentorship: Coach less experienced engineers within Fabric and our client teams on SRE principles and modern infrastructure patterns. • Advising our clients on the right technical decisions and advocating for the right practices to use. • Being an ambassador for Fabric, promoting our values and the practices we use to make sure we build the software right. • Participate in interviewing and recruitment based on business needs. • Thought Leadership: Contribute to the SRE community through blog posts, meetups, or internal knowledge sharing. • Operational Support & Availability: Rotational Support Coverage: Participate in a sustainable team rotation to provide extended service coverage (including weekends) for business-critical systems. • Incident Response: Act as a primary responder for high-priority (P1/P2) incidents during your rostered shift, focusing on rapid restoration and clear stakeholder communication.

Role Description We are looking to bring on a hands-on Cloud DB Platform Automation Engineer (CWR) to support our Database Platforms team at BCG. The preferred location is India, with willingness to work during UK business hours. This role is focused on Terraform-based automation and standardization of database platform offerings across AWS, Azure, and GCP, with emphasis on: - Self-service (Terraform Cloud, GitHub Actions) - Consistency - Reducing manual effort We are specifically looking for someone who is: - Strong in Terraform (module development, not just usage) - Comfortable with CI/CD and automation workflows - Able to work independently and deliver from defined requirements - Easy to collaborate with and provides clear status updates Company Description Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in: - Technology consulting - Software engineering - AI - Digital products and platforms - Data - Cloud - Intelligent automation - Agile transformation - Industry digitization In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.