You will provide hands-on support for Apache Airflow configuration, DAG development, and troubleshooting while advising customer teams on best practices. Additionally, you will collaborate with internal stakeholders to deliver technical guidance and ensure successful platform adoption and production onboarding.
You will maintain high-volume ingestion pipelines and develop tools and frameworks for the data platform. Additionally, you will support data scientists with production workloads and contribute to ML-platform and streaming initiatives.
You will design and implement automations for recurring incidents and operational processes while transforming manual tasks into scalable workflows. Additionally, you will collaborate with cross-functional teams to develop Infrastructure-as-Code solutions and enhance service reliability through improved monitoring and observability.
The Senior Delivery Manager will lead project teams and maintain long-term client partnerships while ensuring projects are delivered on time, within budget, and to high quality standards. They will adapt between Agile and Waterfall methodologies to manage project scope, risks, and communication across diverse, multi-vendor environments.
You will design and implement scalable data platform architectures while managing cloud infrastructure using Infrastructure as Code. Additionally, you will lead migration efforts and collaborate with cross-functional teams to ensure platform reliability, security, and performance.
You will design and implement manual test strategies while coordinating QA activities across development teams to ensure efficient product delivery. Additionally, you will define quality metrics, perform root cause analysis, and integrate AI-powered tools to optimize testing processes.
The role involves reviewing and optimizing SQL Server database designs and operational practices for a business-critical ERP system. Additionally, the architect will assess the feasibility of migrating to PostgreSQL and implement robust database observability and monitoring.
Lead the technical direction and development of an AI-native underwriting platform, focusing on scaling the product from MVP to production-grade. Design core backend services using Python and implement AI-assisted software development workflows to improve engineering velocity.
Build and support tools, processes, and infrastructure to enable faster software delivery and scaling. Ensure the availability, reliability, and scalability of application infrastructure while managing CI/CD pipelines and monitoring metrics.
You will be responsible for designing, developing, and maintaining automated test frameworks for web and backend applications. Additionally, you will collaborate with development teams to integrate tests into CI/CD pipelines and ensure high software quality.
