Cloud Engineer (DAT)

Securrency is a financial markets infrastructure technology company focused on enhancing capital formation and stimulating global liquidity. Securrency is driving change at the core of financial services via a patent-pending distributed identity and compliance framework and a state-of-the-art infrastructure designed to bridge legacy financial platforms to blockchain networks. One of the industry's most advanced regulatory technology providers, we have developed compliance tools that automate enforcement of the multi-jurisdictional regulatory policy. These tools provide transparency and consistency to strengthen investor confidence and provide regulators with increased oversight of the market activity. Securrency provides software-as-a-service (SaaS) and platform-as-a-service (PaaS) delivery models to offer blockchain-based financial services infrastructure to banks and other financial services providers.

Our proprietary, patent-pending Compliance Aware Token™ technology provides multi-jurisdictional compliance and unprecedented convenience to financial services providers and market participants to facilitate the issuance, trading, and servicing of digital securities and other digital assets. Securrency's technology is blockchain-agnostic, and its compliance and policy-enforcement tools support ledger-to-ledger transactions across multiple blockchains.

Job purpose:

Securrency is looking for someone with strong Google Cloud Platform and Terraform experience to deploy and monitor services, build software delivery pipelines, and manage and learn from incidents. The candidate should be skilled in Terraform and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions.

In the first three months, expect to:

• Learn about the organization's cloud-based data architecture and existing data pipelines
• Begin to understand the data needs of different teams and departments
• Begin to develop and implement new cloud-based data pipelines to improve data flow and accessibility

Within six months, expect to:

• Contribute to the organization's cloud-based data architecture and strategy
• Take ownership of cloud-based data pipeline development and maintenance
• Begin to work on more complex data projects, such as cloud-based data warehousing or real-time data processing

Within the first year, expect to:

• Have a deep understanding of the organization's Google Cloud Platform-based solutions and DevOps pipelines
• Support multiple teams in their Google Cloud Platform cloud DevOps needs
• Continuously improve cloud-based DevOps processes and support the organization's growth and data-driven decision-making

Responsibilities

• Expert knowledge of Terraform and Google Cloud Platform
• Ability to plan, configure, and deploy a cloud solution with Terraform
• Build and implement CI/CD pipelines for a service
• Configure access and security
• Optimize service performance
• Implement service monitoring strategies
• Implement Virtual Private Cloud (VPC) instances.
• Collaborate with data engineers, data scientists, and architects on several projects.
• Solve various complex problems.

Requirements 

• Previous experience as a cloud engineer or in a similar role
• 3 years of Google Cloud Platform experience is necessary.
• Hands-on experience with Terraform and Google Cloud Platform command line
• Technical expertise with CICD techniques and technologies
• Great cloud skills
• Degree in Computer Science, IT, or a similar field.
• Open-minded to new technologies, frameworks

Would be a plus:

• Basic understanding and interest in blockchain technologies.
• Experience with supporting automated testing in Google Cloud Platform