The Database Administrator will manage existing relational databases and lead the migration of Oracle database structures to Azure SQL Managed Instance. Responsibilities include schema mapping, performance tuning, data validation, and ensuring operational stability across development and production environments.
The Java Tech Lead will oversee the design, development, and maintenance of enterprise Java applications while providing technical leadership to the engineering team. This role involves collaborating with cross-functional teams to ensure high-quality software delivery, performance optimization, and effective mentoring of developers.
The Delivery Manager will oversee end-to-end SAP project lifecycles, including S/4HANA migrations, while managing cross-functional teams and contractual SLAs. They are also responsible for financial P&L oversight, client stakeholder management, and supporting pre-sales activities to drive account growth.
Develop and maintain scalable Java-based applications using Spring Boot and RESTful APIs. Collaborate with cross-functional teams to design, test, and deploy high-quality software solutions.
Develop and maintain responsive, high-performance web applications using React.js while building reusable components. Collaborate with cross-functional teams to integrate APIs, troubleshoot issues, and ensure optimal application performance.
Design, develop, and support custom SAP S/4HANA solutions using ABAP on HANA to optimize supply chain and manufacturing processes. Collaborate with cross-functional teams to ensure all technical solutions comply with GxP regulations and FDA standards within the Life Sciences industry.
The role involves leading the development, maintenance, and enhancement of the DMC application while providing technical guidance to the team. Responsibilities include designing backend business logic, managing SQL database operations, and coordinating with cross-functional teams to resolve production issues.
Develop, optimize, and troubleshoot complex data pipelines using Python and Databricks. Manage data integration and transformation processes within an AWS cloud environment.
Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-native data solutions using Python, PySpark, and Snowflake. Collaborate with cross-functional teams to optimize data performance, ensure data quality, and implement robust data governance practices.
The role involves designing, provisioning, and maintaining scalable cloud infrastructure on OCI while automating CI/CD pipelines and deployment processes. You will also implement DevSecOps practices, manage containerized applications, and lead incident response and observability efforts.
Monitor network, cloud, and security environments using SIEM tools to identify and triage operational or security incidents. Manage incident documentation through ITSM tools and escalate critical events to L2 teams while ensuring adherence to SLAs.
The Senior Network Engineer will design, deploy, and manage Zscaler ZIA and ZPA environments while ensuring secure Zero Trust network access. They will also serve as an L2/L3 escalation point for complex network incidents and perform root cause analysis for global enterprise infrastructure.
The AI CoE Lead will drive the architecture and deployment of AI-native solutions while leading a team of Forward Deployed Engineers to embed within client workflows. They will partner with sales and technical leadership to deliver high-stakes enterprise pitches and standardize MLOps infrastructure.
Partner with engineering teams to conduct security design reviews and threat modeling to identify and mitigate risks early in the SDLC. Develop tooling, documentation, and automation to scale security reviews and provide expert guidance on secure implementation patterns.
Triage and prioritize security vulnerabilities from various sources while partnering with engineering teams to drive remediation. Develop security tooling and automation to improve vulnerability detection and reduce manual review efforts.
The role focuses on enhancing the security posture of multi-cloud environments through monitoring, alert triage, and incident response. It also involves securing AI/ML workloads and developing security automation using Python and Terraform.
