Hiring.Camp

Cloud Engineer - GCP/AWS

Factset

·

Yesterday

Location
São Paulo, BRA, Brazil
Type
Full-time
Department
Engineering
Seniority
Mid
Experience
3+ years
Source
Workday

Description

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.  

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.  

Fluency in English (written and spoken) is a definitive must to apply.

*Resume must be submitted in ENGLISH.


  • Job Location: São Paulo City - Pinheiros (3 days/week at office)
  • Working hours: Brazil business hours + on-call to be discussed
  • Employment condition: Brazil full-time CLT with FactSet competitive benefits global package applied to Brazil (FactSet total rewards).

Cloud has and remains a core enabler for several of our enterprise strategies: rounding the corner on Digital Transformation, executing on M&A, driving Investment Programs, and enabling GenAI. The Platform Infrastructure Engineering Team at FactSet is looking for an additional member for the Cloud Architecture team. The team is comprised of Cloud Architects and Engineers, focusing on overall Cloud Architecture strategy & execution, and enablement of the organization to create and run optimized Cloud Native solutions on GCP and AWS. The Cloud Engineer will help maximize the benefit FactSet receives from its usage of public cloud.  The architect will directly contribute to the growth of the business by partnering with Strategic Business Units and Engineering teams to promote modernization, leveling up Cloud knowledge, increasing collaboration across the organization and helping to realize FactSet’s Cloud Architecture strategy.


Responsibilities:

  • Supports the planning and implementation of enterprise Cloud Programs
  • Make meaningful contributions to FactSets cloud platform and capabilities.
  • Fosters a culture of innovation and encourages colleagues to think differently in finding solutions.
  • Focuses on providing efficient business value; ensuring programs are delivered as efficiently as possible.
  • Work with other Platform Infrastructure Engineering teams to help drive adoption of cloud services.
  • Ensures core FactSet Infrastructure services are available in the cloud and easily consumable by FactSet engineering teams.
  • Increase velocity of cloud migration and digital transformation by helping engineering teams adopt DevOps, Infrastructure as Code, and automated release processes.
  • Work with FactSet security organization to ensure a strong security posture of services and data in the cloud.
  • Provide input and assistance on high availability (HA) and disaster recovery (DR) of services running in the cloud. Develop processes and tooling to help engineering teams implement these HA & DR strategies for critical services deployed in the cloud.
  • Identify and implement cost optimization strategies for cloud services.
  • Periodic On Call and occasional weekend work
  • Fluency in English, both written and verbal

Minimum Requirements:

  • 3 -6 years of hands-on public cloud experience successfully making architecture contributions in a fast-paced, high growth business with demonstrable experience leading cross-functional technology teams, planning, capital expense budgeting, and process improvement.

Critical Skills:

  • 3 - 6 years GCP / AWS experience working in a highly distributed fast paced environment.
  • Proven track record of being an innovative and pragmatic technology expert.
  • Understanding of Cloud Computing technologies.
  • Strong Working knowledge of one or more of the following: Python, GoLang, Terraform, or Ansible
  • Experience with Docker, GKE, Serverless (Cloud Run / Lambda)
  • Strong foundational knowledge on GCP and AWS Networking services: VPC, NCC, Cloud Interconnect, TGW, Direct Connect, ILB/ALB/NLB, PrivateLink
  • Knowledge of Generative AI and AI/ML tools & techniques
  • Strong desire for learning new tech and solving challenging engineering problems
  • Fluency in English, both written and verbal

Additional Skills:

  • Excellent communication skills, with the ability to lead business and technology discussions at all levels.
  • Ability to review initiatives, understand detailed business processes and technology, and make timely decisive decisions.
  • Track record of being a change agent, one who can drive new and commercial thinking across the organization and the behaviors supporting such, while engaging in a collaborative, inclusive style
  • Strategic, analytical, and creative thinking style with a realistic, pragmatic approach

Education:

  • Bachelor’s degree in information/computer science, engineering, or related discipline with IT focus required.

Company Overview: 

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. 

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. 

Skills

PythonAWSGCPDockerTerraformAnsibleDevOps

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