Top Tech Jobs & Startup Jobs in Lyon

Operate and scale high-throughput MariaDB/MySQL clusters supporting globally distributed financial services. Responsibilities include database tuning, replication, high availability, disaster recovery, backups, automation, observability, security, containerized deployments, infrastructure-as-code, and partnership with engineering teams. The role also participates in on-call rotations and improves operational reliability through SRE practices, documentation, measurable KPIs, and preventative engineering.

Drives complex engineering initiatives from conception through deployment, managing schedules, risks, scalability, and cross-functional execution. Performs FTA, FMEA, HAZOP, probabilistic risk assessments, Monte Carlo simulations, and reliability analyses. Ensures compliance with safety standards and governance policies, recommends mitigation strategies, validates risk controls, authors technical reports, advises engineering and manufacturing teams, and mentors staff on risk analysis practices.

Lead an engineering team building software that connects and orchestrates EVs, chargers, solar systems, and batteries. Own technical vision and roadmap, partner with product and the CTO, shape engineering strategy, drive AI adoption, hire and coach engineers, establish high standards, delegate effectively, and collaborate across the organization. The role supports a remote distributed team and may be hands-on or fully management-focused.

Own and scale Nango’s cloud platform, including compute, networking, data infrastructure, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, productize provisioning and upgrades, establish SLOs and incident processes, operate PostgreSQL, Redis, Elasticsearch, and ClickHouse, and oversee infrastructure security and compliance. Help shape product strategy while supporting a remote-first, autonomous engineering team.

Own the platform architecture and Neo4j strategy for GraphAware Hume, optimizing Cypher queries, graph models, and scalable access patterns. Lead cross-team technical direction, mentor engineers, build secure APIs, and orchestrate graph analytics workflows. Partner with product managers on technical roadmaps, evaluate Neo4j ecosystem updates, and support migrations. The role also involves backend development in Java and Spring, CI/CD, Docker, security, cloud-native practices, and potentially GraphRAG, Kafka, and distributed systems.

Leads SAP S/4HANA ePPDS and Production Planning implementations, including fit-to-template workshops, requirements analysis, configuration, solution demonstrations, testing, data migration, cutover, defect resolution, hypercare, documentation, training, and post-go-live support. The consultant integrates manufacturing planning solutions with other SAP modules and collaborates with stakeholders, technical teams, project managers, and business users to deliver transformation projects.

Owns the technical delivery of customer SaaS implementations from requirements discovery and solution design through planning, coordination, and launch. Partners with customers, Customer Success, Product, Engineering, and QA to translate business needs into technical specifications, implementation plans, project tickets, timelines, and milestones. Manages dependencies, risks, scope changes, stakeholder communication, and customer technical guidance throughout implementation.

Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.

Own the editorial calendar and produce long-form and social content across blogs, LinkedIn, email, sales collateral, websites, and press releases. Translate technical input from internal experts into credible, engaging narratives, manage social execution, adapt video content, coordinate PR distribution, and analyze performance to improve content strategy. The role requires independent execution in a remote, fast-moving B2B technology environment serving a global esports betting audience.

Owns and manages the infrastructure powering secure AI agent deployments. Responsibilities include Kubernetes and Azure environments, Terraform-based infrastructure, MCP servers, access controls, enterprise integrations, GPU provisioning, compute scaling, model training efficiency, cost control, and governed connections to sensitive business systems. The role partners with infrastructure, security, compliance, technical, and business teams to deliver scalable and reliable AI platforms.