You will play a key role in driving the design of the modern, Python-based integration architecture and leading the migration strategy for clients on the legacy Java/Groovy/Oracle stack. This means shaping technical patterns, managing risk across both platforms, and ensuring continuity as clients move to the new estate.We’re building for scale. Much of what we design and implement today will be the technology
and infrastructure that serves thousands of clients and petabyte-level volumes of data.
As part of AI, Data & Analytics, you will work in close proximity to teams shapingInvestCloud’s broader data, analytics and AI capabilities, with the opportunity to influence
integration patterns that directly enable those outcomes.
The core stack we use and are building is:
• AWS as our cloud provider
• Oracle as our legacy data warehouse
• Snowflake as our next-gen data warehouse
• Mage AI for data ingestion and processing
• Terraform for building infrastructure
• Python as our primary development language
• Java/Groovy within the legacy platform
Key Responsibilities
• Work as part of the team to build reliable and scalable pipelines and platform capabilities, as well as monitor and support the capabilities we offer
• Construct complex architectures tying multiple services, SaaS tooling and third-party data together, leveraging a strong understanding of a cloud-based stack
• Drive the migration of clients from the legacy Java/Groovy/Oracle stack to the up-to-date
platform, defining patterns, managing risk and ensuring continuity
• Contribute to the technical strategy of the team, and its execution through prioritization and delivery management
• Set high standards across documentation, testing, resiliency, monitoring, and codequality. Enforce these standards by holding your team accountable
• Drive towards efficiency, lower our cloud spend, tackle our tech debt and look for ways to simplify code, infrastructure and data models across the platform
• Write well-rounded, reusabl