You will build end-to-end prototypes from scratch using AI-assisted vibe coding and modern full-stack technologies. The role involves designing application structures, developing core components, and iterating rapidly based on customer feedback.
You will lead complex, security-sensitive migration workstreams by defining program structures, managing dependencies, and driving technical decisions across cross-functional teams. You are responsible for maintaining integrated roadmaps, ensuring operational readiness, and providing transparent, fact-based reporting to senior stakeholders.
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 build, maintain, and support secure, automated, and scalable Google Cloud environments for clients within the Managed Service Provider practice. Responsibilities include implementing Infrastructure as Code, managing CI/CD pipelines, and ensuring platform observability and health.
You will design, develop, and maintain backend Java applications while integrating modern AI capabilities and agent-based workflows. You will also collaborate with software engineers and AI specialists to deliver scalable, production-ready solutions using clean, maintainable code.
You will lead AI adoption and enablement programs for client engineering teams by running workshops and implementing AI-augmented workflows. Additionally, you will contribute to the Center of Excellence for Engineering Productivity by developing standards and best practices for AI integration.
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 own and operate data and feature pipelines for machine learning systems while ensuring reliable data ingestion and processing. Additionally, you will support data scientists and analysts by troubleshooting issues and maintaining platform stability.
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 develop tools to standardize and automate data platform operations while building internal CLI tools and data product templates. Additionally, you will implement Agentic AI workflows, maintain Apache Airflow platforms, and contribute to infrastructure-as-code and GitOps initiatives.
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.
You will design and implement scalable, high-performance reporting solutions and data modeling strategies for large-scale analytical workloads. Additionally, you will provide architectural guidance, mentor engineering team members, and drive best practices in data quality and performance optimization.
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.
Configure and maintain Azure platform services and REST API integrations to support modern integration solutions. Implement monitoring, logging, and automation scripts while creating operational documentation aligned with ITIL practices.
Design and develop executive-level Power BI dashboards to translate complex marketing datasets into actionable strategic insights. Collaborate with senior leadership to gather requirements and optimize data models for scalability and performance.
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.
Build and optimize data pipelines using Python, Databricks, and PySpark for batch and real-time processing. Collaborate with stakeholders to deliver end-to-end data products and maintain the analytical database ecosystem.
Define and manage the product vision, roadmap, and priorities for a modern ERP system in the logistics sector. Collaborate with stakeholders and technical teams to translate business needs into requirements and ensure the delivery of business value.
You will be responsible for developing and maintaining Magento 2 storefronts and integrating them with external platforms using REST APIs and GraphQL. Additionally, you will manage CI/CD pipelines and ensure platform stability, performance, and security across various environments.
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.
