• Build and own ML data pipelines: Design, implement, and maintain Python pipelines that ingest, transform, and deliver datasets for model training and inference — covering use cases like [fraud detection / credit scoring / accounting automation — confirm with HM]. • Own the feature store: Design storage and access patterns for large-scale feature datasets, balancing latency and cost so ML Engineers can retrieve features reliably at both training and serving time. • Drive model serving infrastructure: Implement and maintain the infrastructure that deploys trained models into production, including versioning, scaling, and rollback. • Build data quality and drift detection systems: Work with ML Engineers to catch data issues before they degrade model performance in production — making reliability a shared standard, not an afterthought. • Set the data engineering standard: Establish reusable Python and pipeline patterns the team builds on — creating foundations, not one-off solutions.

• Design, build, and maintain scalable and secure cloud-native data platforms and data pipelines. • Lead the architecture, optimization, and operational management of the Snowflake data warehouse platform. • Develop robust ELT/ETL pipelines to ingest, transform, and deliver high-quality data from multiple internal and external sources. • Build reusable and maintainable data frameworks, transformation models, and orchestration workflows. • Develop and maintain infrastructure-as-code and automation for data platform provisioning and management where appropriate. • Optimize performance, scalability, and cost efficiency across data storage, transformation, and query workloads. • Support near real-time and batch-based data processing requirements. • Own and continuously improve Snowflake architecture, performance tuning, security, governance, and operational best practices. • Design and optimize Snowflake schemas, warehouses, clustering strategies, and data sharing capabilities. • Implement scalable data modelling approaches including dimensional modelling and data vault methodologies where appropriate. • Manage Snowflake access controls, roles, permissions, and secure data sharing practices. • Monitor Snowflake usage, query performance, and cost consumption to drive optimization initiatives. • Support data lifecycle management, retention, and governance policies within Snowflake. • Design and maintain curated, trusted, and scalable data models to support analytics, reporting, and operational use cases. • Partner with analysts, business stakeholders, and engineering teams to translate business requirements into scalable data solutions. • Enable self-service analytics capabilities through well-structured semantic layers and governed datasets. • Support and optimize BI and reporting platforms such as Looker, Power BI, or equivalent tools. • Ensure data structures and models support both operational reporting and strategic analytics requirements. • Implement data quality controls, validation frameworks, reconciliation processes, and monitoring capabilities. • Proactively identify and resolve data integrity, consistency, and performance issues. • Establish observability and operational monitoring for data pipelines and platform reliability. • Contribute to data governance, lineage, cataloguing, and metadata management practices. • Ensure data platforms and engineering processes comply with security, privacy, and regulatory requirements. • Collaborate closely with Product, Engineering, Operations, Finance, and Business stakeholders to deliver impactful data solutions. • Mentor and support junior engineers and analysts within the broader data function. • Contribute to data engineering standards, best practices, and platform strategy. • Drive continuous improvement initiatives across data architecture, tooling, and delivery practices. • Work cross-functionally to improve organizational data literacy and data maturity.

Lead customer engagements, provide training on product usage, act as the primary liaison between customers and internal teams, and gather customer feedback to influence product development and enhance user experience.

Title: Platform Engineer - Orchestration Location: Noida, Uttar Pradesh, Paris, France Type: Full-Time Workplace: hybrid Category: Platform Job Description: At Brevo, we’re not just building a CRM. With our technology, we’re helping millions of organizations build lasting relationships with their customers. From emails and SMS to WhatsApp, Chat, and Marketing Automation, our tools are intuitive, powerful, and built to scale with every ambition. We give businesses a clear view of the customer journey, so they can focus on what matters: connection. As a certified B Corp, we’re proud to grow with purpose, committed to high standards of social and environmental impact, not just performance. Today, more than 500,000 businesses across 180 countries—from NGOs like Amnesty International to global brands like Carrefour, eBay, Louis Vuitton, and Michelin—trust Brevo to engage their audiences, cut through complexity, and deliver results. Our reliable technology and 75+ integrations help them create unparalleled customer experiences, without the usual tech headaches. In 2024, we reached €179M ARR with nearly 1,000 team members worldwide. And we’re just getting started! We seek an experienced Orchestration Platform Engineer to join our dynamic team. The ideal candidate will have strong expertise in designing, developing, and maintaining infrastructure with a focus on Containers, Virtual machines and CI/CD. You will be crucial in managing our Platform products with a reliable, secure and cost-effective approach to host our orchestration components used by all workloads at Brevo, running on OVH hosting provider. You will contribute to both running and improving our legacy infrastructure running on top of baremetal servers and building the next Platform generation with state-of-the-art technologies on network, hypervisors and orchestration layers Your Impact at Brevo: - Architect, build and maintain scalable and efficient container platforms using RKE2, orchestration tooling to automate CI/CD, deployment and remediation using Terraform, Ansible, Packer, Github CI, Jenkins, Vault and Digger. - Monitor and optimise the performance to ensure high availability and reliability using Alloy, Fluentd, Grafana and Datadog. - Contribute to the internal product roadmap definition, the backlog refinement, the architecture and the implementation review inside the Orchestration team. - Manage and maintain capacity planning for the production-grade orchestration chain - Work as a cornerstone between other Platform teams and other divisions to understand hosting requirements and deliver solutions that meet business needs. - Implement automation for deployment pipelines to improve efficiency and reduce manual intervention. - Diagnose and resolve orchestration and system issues, ensuring minimal disruption to services. - Maintain comprehensive documentation of architecture, processes, and procedures Who you are: - You have 4-8 Years of experience with Installation, setup & configuration of high availability, secure, and resilient hosting facilities in production environments 24/7. - Installation, setup & configuration of high availability, secure, and resilient hosting facilities in production environments 24/7. - Excellent problem-solving, analytical, communication and organisational skills. - Very strong experience in building CI/CD stack and pipelines for both Platform and Developer use cases - Proficient in bare-metal infrastructure management (network backbone, Unix administration, Ansible, Netbox…) - Proficient with Kubernetes administration with self-hosted clusters using technologies such as RKE2, Cilium, Envoy, Longhorn, Rancher, Keda and Kyverno - Proficient with VM administration on top of open-sourced hypervisors like Harvester, OpenStack, and/or Fleet - Proficient in deployment templating with Helm, Kustomize and Jinja - Proficient in Orchestration products, including installation, configuration, performance tuning, and monitoring on technologies like ArgoCD, Jenkins, Harbour, Vault, self-hosted Github runners and Argo Workflow - Proficient in using generative AI to build and run Platform products (agent and skills usage for opening a PR from a specification prompt, bridging MCP servers to troubleshooting production issues) - Experience in scripting languages such as Python, Bash, or similar for automation tasks. - Experience in building a Platform as an internal Product. If you don’t meet all the requirements below but believe this opportunity aligns with your experience and expectations, we still encourage you to apply! Why people love working at Brevo: - A place to grow, together: Join a diverse, international team across our Paris and Noida offices — buzzing with energy, ideas, and people who genuinely care about the work they do. - Practical perks for everyday balance: Daily meal vouchers, transport support, an employee-friendly salary structure, and a high-value referral program — because the little things add up. - Learning, every step of the way: Facilitator-led sessions, expert workshops, language learning support, and personalised training programs tailored to your growth — not just your role. - Flexible for life: A hybrid work setup, a budget for your home workspace, and a generous leave policy — including wedding, paternity, and bereavement leave — so life and work can actually coexist. - Wellbeing that works: Comprehensive health insurance, enhanced parental leave, childcare support, and wellness initiatives to keep you and your family covered — wherever you're based. - A culture that cares: Annual company off-sites, inter-office trips to connect with global teammates, team outings, and active Social, Green, and LGBTQIA+ communities — making Brevo a vibrant and inclusive place to belong. Our candidate journey: - Round 1 - A call with the Talent Acquisition team - Round 2 - An interview with the Platform Orchestration Manager - 1h - Round 3 - An interview with the Platform Deputy - 45 mins - Round 4 - An interview with one of the Global Platform team members - 1h - Round 5 - Last interview with the VP of Platform - 45 mins Please note: Face2Face Interviews will be aligned whenever required Whoever you are, wherever you’re from, if this role speaks to you, we’d love to hear from you. At Brevo, we’re proud to be an AI-first company. Still, every application is carefully reviewed by a member of our team.