- Postes vacants:
- 1 poste ouvert
- Type d'emploi désiré :
- CDI, Temps plein
- Experience :
- 3 à 5 ans
- Niveau d'étude :
- Ingénieur
- Langue :
- Anglais
Description de l'emploi
You will be joining a fast-paced engineering team made up of people with significant experience working with terabytes of data. We believe that everybody has something to bring to the table, and therefore put collaborative effort and team-work above all else (and not just on the engineering side).
You will be able to work autonomously as an equally trusted member of the team, and participate in efforts such as:
- Addressing high availability problems: cross-region data replication, disaster recovery, etc.
- Addressing “big data” problems: 200+ millions of messages/day, 60B data points since 2010 (currently growing at a rate of 6B per month).
- Improving our development workflow, continuous integration, continuous delivery and in a broader sense our team practices
- Expanding our platform’s observability through monitoring, logging, alerting and tracing
Mission
- Design, develop and deploy scalable and observable backend microservices
- Reflect on our storage, querying and aggregation capabilities, as well as the technologies required to meet our objectives
- Work hand-in-hand with the business team on developing new features, addressing issues and extending the platform
Our stack
- Monitoring: VictoriaMetrics (+ vmalert and vmagent), Grafana
- Alerting: AlertManager, Sensu Go
- Logging: Vector
- Caching: Redis (phasing out in favor of FoundationDB)
- Secrets management and PKI: Vault
- Configuration management and provisioning: Terraform, Ansible
- Service discovery: Consul
- Messaging: Kafka
- Proxying: HAProxy
- Service deployment: Terraform, Nomad (plugged in Consul and Vault), Kubernetes (to a lesser extent, used for non production critical workloads)
- Database systems: ClickHouse (main datastore), FoundationDB (caching, deduplication)
- Protocols: gRPC, HTTP (phasing out in favor of gRPC), WebSocket (phasing out in favor of gRPC)
- Platforms (packaged in Docker containers): Golang, NodeJS (phasing out in favor of Golang), Ruby (phasing out in favor of Golang)
Exigences de l'emploi
Who we are looking for
- Significant experience as a Software/Data/DevOps Engineer
- Knowledgeable about data ingestion pipelines and massive data querying
- Worked with, in no particular order: microservices architecture, infrastructure as a code, self-managed services (eg. deploy and maintain our own databases), distributed services, server-side development, etc
The most important skills for us revolve around two things:
- What we like to call “core” knowledge: what’s a software process, how does it interact with a machine’s or the network’s resources, what kind of constraints can we expect for certain workloads, etc
- How fast you can adapt to a technology you didn’t know existed 10 minutes ago
Nice to have
- Experience with data scraping over HTTP, WebSocket, and/or FIX Protocol
- Experience developing financial product methodologies for indices, reference rates, and exchange rates
- Knowledgeable about the technicalities of financial market data, such as the difference between: calls, puts, straddles, different types of bonds, swaps, CFD, CDS, options, futures, etc
Personal Skills
- Honest, getting and giving feedback is very important to you
- Humble, making new errors is an essential part of your journey
- Empathetic, you feel a sense of responsibility for all the team’s endeavors and don’t pay attention to the individual level of involvement
- Committed, as an equally important member of the team, you want to make yourself heard while respecting everybody’s point of view
- Fluent in written and spoken English (we have 5 different nationalities in the team!)
- You have the utmost respect for legacy code and infrastructure, with some occasional and perfectly understandable respectful complaints
Date d'expiration
04/06/2021