Staff Software Engineer
Hexa · 🌍 Paris
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Hexa
This employer posted directly and does not match a government sponsor register.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Hexa →
About the role
About Pelagon Pelagon is a European defence technology company building Autonomous Maritime Interdiction systems. We bring together sensing, AI, software and maritime engineering to help protect critical infrastructure and maritime environments. The role We are looking for a very senior, hands-on software engineer to own the software running in Pelagon’s operations centre: our data infrastructure, processing services, internal tools and customer-facing applications. You will architect the overall platform and build it with the team, from data ingestion and storage to machine-learning workloads, operational applications and deployment. You will be the technical interface between our embedded systems and AI teams, bringing their work together into a coherent, reliable system. This role requires depth across software development, data engineering and DevOps. Our software must run on infrastructure operated by Pelagon or our customers, including self-hosted and on-premises environments. Robustness, operability and cybersecurity must be designed into the system from the outset. What you will own • Software architecture and delivery. Define the architecture of our core services, APIs, internal tools and customer-facing applications. Make and document technical decisions, write production code and take responsibility for the system from design through operation. • Data infrastructure at scale. Build reliable ingestion, storage and retrieval for large volumes of sensor and operational data. Choose and operate databases and storage systems, design data models, and manage data quality, migrations, retention and performance. • Processing and machine-learning workflows. Build the infrastructure to schedule, execute and monitor data-processing and ML jobs. Handle dependencies, resource allocation, retries, reproducibility and failure recovery, working closely with the AI team to bring its workloads into production. • Deployment on infrastructure we control. Make the platform reproducibly deployable on Pelagon and customer infrastructure. Own infrastructure automation, software packaging, configuration, release pipelines, upgrades and rollback without depending on managed cloud services. • Reliability and operations. Establish observability, performance testing, capacity planning, backup and recovery. Diagnose production issues and build systems that recover predictably from interrupted connectivity, partial failures and faulty inputs. • Cybersecurity throughout the lifecycle. Build security into architecture, implementation, deployment and maintenance. Apply threat modelling, least-privilege access, authentication and authorisation, network isolation, secrets management, encryption and audit logging. Establish secure development practices, dependency and vulnerability management, patching and incident readiness. • Integration across teams. Define clear interfaces and data contracts with the embedded systems and AI teams. Own integration and end-to-end testing so devices, data pipelines, algorithms and applications operate as one system. • Engineering effectiveness. Set a high standard for code, testing, documentation and technical judgement. Mentor engineers and use AI-assisted development tools effectively to accelerate implementation, testing and investigation, while retaining rigorous review, security checks and control over sensitive code and data. What you bring • Extensive experience building and operating robust, data-intensive production software, with architectural ownership across multiple components and teams. • Strong hands-on software development skills, with the ability to move from system design to implementation and difficult production debugging. • Deep experience with data ingestion, databases, storage systems a