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IT Project Manager
ServiceNow Workstream 2 Delivery

We are seeking an experienced IT Project Manager to lead the delivery of our ServiceNow Workstream 2 project. The successful candidate will be responsible for managing the project's scope, stakeholders, and implementation across multiple teams.

We are seeking an experienced IT Project Manager to lead the delivery of our ServiceNow Workstream 2 project. The successful candidate will be responsible for managing the project's scope, stakeholders, and implementation across multiple teams.

Key Responsibilities:

- Collaborate with business stakeholders from order management and network engineering to gather requirements, manage scope, and set expectations.
- Work closely with the architecture team (DG and system integrator ) to ensure proper design creation, while following technical details managed by the architecture team.
- Organize implementation in agile sprints with the SI development team, including backlog creation, prioritization, and capacity planning.
- Coordinate with the end-to-end testing/ QA team for implementation approval.
- Report project progress to the DG program/business unit management.

We are seeking a talented and highly motivated DevOps Team Lead to join our dynamic team. In this role, you will play a pivotal part in developing the software that powers our advanced embedded systems, bringing complex algorithms to life and enabling groundbreaking applications across various industries.
Responsibilities:
Lead and mentor a growing team of highly skilled DevOps engineers.
Design, build, and maintain automated pipelines for CI and CD with focus on embedded systems software.
Collaborate with cross-functional teams, including software engineers, hardware engineers, and QA, to understand project requirements and ensure smooth integration of DevOps practices into the development lifecycle.
Troubleshoot issues in development and production environments, ensuring rapid resolution and minimizing downtime.

We are looking for a Senior DevOps Engineer to join our fast growing company and in a breakthrough stage where we build our dream team with the most passionate and professional people in the industry.
Our team thinks differently and quickly, delivering high quality and unique code while using the latest technologies and frameworks. All of that without forgetting to enjoy the ride!

What Youll Be Doing:
Work in the Devops mindset by identifying bottlenecks and implementing build/automation tools to increase reliability and speed.
Run the production environment by monitoring availability using the latest observability technologies.
Enabling the devops culture in our R&D by encouraging self-service and building tools to support our velocity.
Owning the deployment lifecycle from architecture to implementation across multiple regions and environments.

We are seeking an adept Senior Data Engineer with a passion for tackling complex challenges across a diverse range of technologies.
Your role will involve a deep commitment to software design, code quality, and performance optimization.
As part of our Engineering team, your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.
You will play a pivotal role in developing pipelines to efficiently extract, transform, and load massive volumes of data.
Your expertise will contribute to the creation of a scalable, high-performance data lake that serves as a foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable designs.
Responsibilities:
Be a significant part of the development of data pipelines to efficiently extract, transform, and load vast volumes of data.
Architect and build a scalable, high-performance data lake that supports various services within the platform.
Translate intricate requirements into meticulous design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement data-warehousing and data-modeling techniques.
Apply your expertise in Core Linux, SQL, and scripting languages to create robust solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong data engineering practices.
Utilize your experience with streaming frameworks, such as Kafka, to handle real-time data processing.
Employ your familiarity with industry-standard visualization and analytics tools, like Tableau and R, to provide insightful data representations.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks.
Solve complex problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.