You will lead software engineering teams responsible for building and operating high-volume, real-time flight status intelligence systems. The role involves setting technical strategy, driving the adoption of modern engineering practices, and mentoring engineering managers to foster a culture of excellence.
You will design and build the core platform architecture while setting technical direction for cross-team initiatives and AI-powered intelligence products. The role involves hands-on coding, mentoring senior engineers, and ensuring high standards for reliability, security, and scalability across the digital ecosystem.
You will join the Platform Engineering team to deploy and manage services across a multi-cloud environment using GitOps and Infrastructure as Code. The role involves maintaining high availability for production systems, implementing SRE practices, and collaborating with developers to optimize observability and security.
You will work within the Platform Engineering team to deploy and manage services across a multi-cloud environment using GitOps and Infrastructure as Code practices. The role involves maintaining system reliability, supporting production environments, and participating in on-call incident response.
You will build and maintain high-throughput, near real-time data ingestion pipelines using Azure Databricks and Delta Lake. Additionally, you will drive engineering standards, optimize platform performance, and integrate AI-assisted tools to support modern data products.
Own product features end to end, from shaping problems with Product and Design through implementation, testing, release, and ongoing improvement. Build and evolve customer-facing experiences and platform systems, including identity, billing, data, and AI-powered intelligence capabilities, while guiding technical decisions and mentoring engineers.
The Senior Client Solutions Engineer leads global developer relations and acts as the technical bridge for commercially significant accounts. Responsibilities include designing proof-of-concept workstreams, managing API integrations, and shaping the product roadmap through structured field feedback.
You will build and maintain reliable data pipelines, transformations, and data models using SQL within the Snowflake environment. Additionally, you will create automated data quality checks and collaborate with cross-functional teams to turn business rules into dependable data solutions.
