• Own cloud networking across the engineering organization. • Architect, build, and operate the network foundation that our platform and product teams depend on. • Set the technical direction for cloud networking as we scale. • Design and deploy IPv6-native VPC architecture. • Define the long-term strategy for network connectivity across cloud providers. • Establish standards for cloud networking decisions and raise the networking competency of engineers around you. • Take over the existing network and design its successor — a deliberate, modern architecture.

Role Description We’re looking for an SRE who is equally comfortable on the robotics side—compute on the vehicle, topside operator machines, field deployments—and the cloud side: data ingestion, processing pipelines, and our customer-facing platform. You’ll build the automation, observability, and operational guardrails that let a small team run continuous AUV operations without continuous heroics, turning manual recovery steps into self-healing systems and shrinking the set of failures that only one person knows how to fix. This is a hands-on senior infrastructure role with a strong automation mandate and a shared on-call rotation. You’ll set reliability direction across vehicle-side and cloud-side systems, raise the operational bar for the team, and mentor others toward it. You’ll be a force multiplier for reliability across the company, not a ticket queue. Reports to: Head of Software. East Coast location is required to support coverage across both European operations and the East Coast during 12-hour on-call shifts. Travel to field deployments and Richmond HQ is expected (approximately 5–15%). What You’ll Do - Own reliability across the full path from vehicle to customer: AUV onboard compute (Jetson-class modules, ROS 2), topside/operator systems, cloud data pipelines, and the platform that delivers data products. - Build and extend infrastructure automation—provisioning, configuration management, deployment, and self-recovery—so that routine field operations and pipeline runs require minimal manual intervention. - Design and improve observability: metrics, logging, tracing, and alerting that give both robotics and data teams early, actionable signal across vehicle fleets and cloud services. - Drive down on-call burden by identifying and eliminating single points of failure, writing runbooks, and automating the manual steps that currently require tribal knowledge. - Participate in a shared on-call rotation covering both robotics-side and cloud-side incidents in 12-hour shifts spanning European and East Coast business hours; lead and contribute to blameless post-incident reviews. - Define and track reliability targets, availability, data yield, recovery time, tied to continuous-operations goals, and partner with robotics and data teams to meet them. - Manage cloud infrastructure on AWS (compute, storage, networking, IaC, cost, and security posture) for data processing and platform workloads. - Improve fleet- and vehicle-level configuration management, deployment safety, and rollback so changes reach the field reliably and predictably. Qualifications - 5+ years in an SRE, DevOps, or infrastructure engineering role running production systems with real uptime and on-call responsibilities, including senior-level ownership of reliability outcomes. - Experience implementing a scalable incident management and operational excellence mechanism that treats operators as customers, building processes and tooling that serve the people running operations day to day, not just the engineering team. - Strong automation instincts: comfortable scripting and building tooling in Python and/or Go and Bash, and using infrastructure-as-code (Terraform or equivalent). - Hands-on AWS experience across compute, storage, networking, and IAM, plus containerization and orchestration (Docker, Kubernetes or similar). - Working knowledge of Linux internals, networking, and observability tooling (Prometheus/Grafana or equivalents). - Comfort operating across environments that aren’t just cloud: embedded or edge compute, intermittent connectivity, and physical systems that fail in messy ways. - A reliability mindset: you instrument before you guess, you automate the second time you do something manually, and you write things down so the next person or the system can handle it without you. - Strong ownership and communication in a small, fast-moving team. Nice to Have - Experience with robotics or embedded systems: ROS / ROS 2, Jetson or similar edge compute, sensor integration. - Background supporting field operations, autonomous systems, or hardware-in-the-loop environments. - Familiarity with data pipelines and geospatial or large-binary data formats. - Experience standing up on-call practices and incident response from an early stage. - Some connection to the ocean: professional, academic, or personal. You’re excited to be around people who dive, sail, build, and explore offshore. - Active U.S. Secret security clearance or above. Compensation $164,000–$220,000 base salary annually, depending on location. The upper end of the range reflects compensation in the New York, NY metro. In addition, we offer comprehensive employee benefits and equity. Work Authorization Candidates must have legal authorization to work in the United States without visa sponsorship. Bedrock does not sponsor employment visas. Due to the nature of our government and defense work, candidates must be eligible to obtain a U.S. Secret security clearance if requested. An active Secret or higher clearance is not required to apply, but candidates who hold one are strongly preferred. Not a Fit If… - You prefer environments where cloud and hardware never mix. - You’d rather build tickets than eliminate them. - You’re not comfortable with on-call ownership on a small team. - You want to optimize existing systems, not build the reliability practice alongside the product. Company Description Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time. Keeping vehicles in the water and data flowing reliably is a core engineering problem and this role owns the reliability of the systems on both ends of that pipeline. Headquartered in Richmond, California, Bedrock Ocean Exploration is building autonomous ocean intelligence that will enable the ocean economy to solve the world’s most pressing challenges in maritime security, infrastructure, energy, and climate.

Role Description Wepoint est à la recherche d’un profil sénior pour rejoindre son équipe spécialisée en développement sur mesure. Nous cherchons une personne curieuse, passionnée, débrouillarde, capable de s’adapter rapidement à des environnements variés, et qui possède une solide expertise en backend .NET, en infrastructure cloud (Azure), et en pratiques DevOps modernes. Vous interviendrez sur des projets d’envergure, dans des contextes techniques exigeants, où votre capacité à proposer des solutions robustes et évolutives sera mise à contribution. Afin de développer et maintenir des solutions performantes et sécurisées, vous serez amené à collaborer avec des équipes techniques (architectes, développeurs, devops, analystes qualités) et des équipes solutions (Product Owners, Designers) ainsi que des clients. Responsibilities - Participer à toutes les phases des projets : analyse, conception, développement, tests, déploiement, maintenance. - Proposer des architectures techniques modernes (n-tiers, microservices, serverless) adaptées aux besoins des clients. - Travailler en étroite collaboration avec les équipes DevOps pour automatiser les environnements de développement et de production (Azure DevOps). - Auditer des solutions existantes et formuler des recommandations d’amélioration. - Encadrer techniquement les membres de l’équipe, partager les bonnes pratiques et contribuer à l’évolution de la pratique. - Rédiger et maintenir la documentation technique. - Participer à l’évaluation de solutions et à la présentation auprès des clients. Qualifications - Minimum 8 ans d’expérience en développement .NET. - Forte capacité d’analyse et de résolution de problèmes complexes. - Curieux.euse de nature, toujours à l’affut des nouvelles technologies. - Leadership technique, autonomie, et excellentes aptitudes relationnelles. - Excellente communication en français et en anglais. - Participation dans les communautés technologiques est un plus. - Expertise approfondie en développement .NET (C#, .NET). - Maîtrise de Microsoft Azure (App Services, Functions, PaaS). - Expérience avec Azure DevOps (CI/CD, gestion de code source, pipelines). - Solide maîtrise de Entity Framework pour l’accès aux données. - Bonne connaissance des bases de données relationnelles (SQL Server). - Connaissance des principes SOLID, DDD, et des modèles de conception. - Expérience avec les architectures modernes : microservices, serverless, multi-tenant, Entra-ID, Auth0. - Capacité à travailler avec des systèmes legacy dans une optique de modernisation. - Connaissance des frameworks front-end (React, Angular, VueJS) est un atout. - Atout : expérience dans l’intégration de solutions d’intelligence artificielle via Azure (Cognitive Services, Azure AI Foundry, etc.) pour répondre à des besoins clients spécifiques. - Atout : utilisation d’outils d’assistance au développement par l’IA (ex. GitHub Copilot et Claude Code). Benefits - Minimum of 3 weeks of vacation starting from the first year; - Comprehensive group insurance with a generous employer contribution; - Employer contribution to a group RRSP; - Full remote work flexibility: Hybrid, Remote, or On-site; - A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.; - Annual IT equipment budget; - A balanced work environment with flexible working hours; - Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.; - An international community of experts ready to share their knowledge; - A company culture focused on individuals’ needs and their belonging to a strong community.

• Participate in the migration of processes and analytical solutions from SAS to Databricks. • Develop and maintain data pipelines (ETL/ELT) using Python, PySpark and Databricks. • Analyze existing SAS code and processes, proposing alternatives and improvements for the new platform. • Automate data ingestion, transformation, and delivery processes. • Support the development of solution designs and data architecture. • Collaborate with business stakeholders to understand requirements and validate results. • Prepare and maintain technical and functional documentation for migrated solutions. • Ensure data quality, performance, and reliability during and after the migration process.