DevOps – Big Data & Analytics Fintech

Job title:

DevOps – Big Data & Analytics Fintech

Company:

Opensee

Job description

About Opensee
Opensee is the leading platform for financial institutions that combines data management at scale with real-time analytics. Designed by capital markets experts, Opensee addresses risk, finance, and trade analytics use cases. By integrating high-performance computing and AI, Opensee enables banks, asset managers, and hedge funds to manage large-scale data with fast aggregations, calculations, and simulations. With offices in London, Paris, New York, and Singapore, Opensee serves banks, asset managers, and hedge funds worldwide through a platform delivered on client environments or turnkey solutions delivered in SaaS. Learn more at opensee.io.About us

• A culture of collaboration and accessibility: At Opensee, you’ll work in an open and supportive team.
• Team spirit and innovation: Work in a dynamic environment where innovation and creativity are highly valued.
• A growth-oriented environment: Benefit from a wealth of development opportunities as we constantly seek new talents to join us, and support our growth. Develop expertise in one of the most advanced solutions for risk aggregations.

About the role
Our long-standing clients have traditionally used our products on-premises, but we are now transitioning to a fully cloud-based offering. To support this evolution, our DevOps team seeks reinforcement from an experienced engineer with a background in managing cloud-based SaaS environments. In this role, you will develop and maintain the infrastructure that supports our cloud-based services and internal requirements, with a key focus on platform security. You will collaborate with a skilled DevOps team that has built CI/CD pipelines and deployed solutions across bare-metal and Kubernetes environments. Your expertise will help us establish a production-ready environment that meets customer expectations, enhancing security processes, disaster recovery, monitoring, alerting, and more. As part of the team, you will also be responsible for supporting the infrastructure for both internal and client use cases. Your role is to support the team by applying your technical expertise and fostering open communication and knowledge sharing. You’ll have the opportunity to apply your technical expertise and collaborative spirit.Our Technical stack:

• DevOps: GitLab, GitLab CI/CD, Docker, Kubernetes, Helm, Terraform, Grafana, OpenTelemetry
• Cloud: AWS, Azure, GCP
• DevSecOps: HashiCorp Boundary, Vault, Keycloak, AWS WAF&Shield, Azure WAF, Cloud Armor, Cert-Manager
• Coding & Scripts: Go, Python, Bash, Rust

About you
Qualifications we value:

• At least one programming or scripting language, preferably Go.

• Kubernetes in production: you know Kubernetes API in and out.
• Terraform and automation technologies and either Ansible, Puppet, or Chef.
• DevOps / DevSecOps experience, and are comfortable with at least one cloud provider, preferably AWS.
• The operations of a SaaS for a commercial software company with a leading role and a good understanding of the work responsibilities and processes.
• DevOps, feeding the team with your 5 years or more of experience.
• Linguistic skills: Good in English both written and verbal, French is a plus.

If you are enthusiastic about shaping the future of cloud-based solutions and possess a solid combination of technical proficiency, we’d love to hear from youPosition details

• Position type: Full-time position
• Start date: As soon as possible (flexible)
• Location: Paris 17 with hybrid remote 2 days per week.
• Remuneration: competitive, experience-based

Recruitment process

• Pré-call HR: 30’
• Technical interview: 1 hour
• CTO interview: 1 hour
• COO interview: 30’
• RRH interview: 30’

A reference check and a meeting of the team members could be organised.How to apply
Send us your resume and a brief description of why you are interested in joining us, and we will come back to you shortly!

Expected salary

Location

Paris

Job date

Sat, 09 Nov 2024 02:44:20 GMT

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