Technical Director – Data Science (Discovery)
Computer Games
United States, San Francisco - California
Published 22 hours ago
Salary: Disclosed upon interview
- Global Companies
- Data Science & Data Engineering
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Staff / Senior DevOps Engineer, Data & AI Infrastructure Engineering
Full time - Senior Engineer
Fintech
Singapore, All Areas
Published 3 weeks ago
Salary: Disclosed upon interview
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Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global financial technology company is building a unified payments and financial platform for businesses worldwide. The company powers over 200,000 businesses with fully integrated solutions for accounts, payments, spend management, treasury, and embedded finance. With a presence in 26 offices globally and a valuation of US$8 billion, the company is at the forefront of creating the next generation of global financial infrastructure, backed by top investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital.
About the Role
The Data + AI Infrastructure team provides tools and platforms for data engineering and analytics teams. As a Staff/Senior DevOps Engineer, you will design, develop, and maintain scalable cloud infrastructure while enhancing self-service capabilities for engineering teams. This role supports global operations and requires collaboration across multiple countries.
Responsibilities
- Lead the design and implementation of the DevOps strategy across global teams
- Develop, maintain, and optimize cloud infrastructure for performance, scalability, and security
- Build and improve observability and detection systems to increase reliability while maintaining agility
- Establish consensus on DevOps tools and best practices across geographies and feature teams
- Support Staff-level projects with complex system design, and solve advanced coding and infrastructure problems
- Mentor and guide engineers, promoting best practices and operational standards
Qualifications
- Staff level: 8–10+ years of relevant DevOps experience
- Senior level: 5–6+ years of relevant DevOps experience
- Demonstrated expertise in Kubernetes, Terraform, and GitOps
- Experience with data streaming platforms (Kafka, Flink, Spark) preferred
- Familiarity with AI-related technologies such as vLLM, liteLLM, Langfuse is a plus
- Hands-on experience with at least one programming language (Python, Golang, Java preferred)
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field
- Strong problem-solving, collaboration, and communication skills
- Ability to operate at both strategic and tactical levels to deliver results
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.
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