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Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsofts mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

The TI Engineering team is focused on building cutting edge solutions, countering adversary-based threats to Microsoft and its customers through dissemination of threat intelligence, proactive hunting, incident response, and the development of new solutions and methods to detect adversary activity, investigate and respond to the attacks.

Our mission is to monitor, disrupt, and shield against cyber threats by the most sophisticated actors.

We use state of the art cloud technologies, big data solutions, AI at hyper scale and modern UX platforms to deliver the highest value for our customers.

Are you passionate about building next-gen security services?

Are you excited about Security and Cloud technologies?

Are you looking for a live, fast-paced environment, where you can make an impact and grow?
Responsibilities
Continuous Integration and Continuous Deployment: Integrate CI/CD pipelines into the software delivery process. Automate testing, deployment, and rollback procedures to ensure smooth and reliable software releases, Implementing CI/CD best practices, facilitate rapid iteration cycles, improve deployment reliability, and reduce the risk of introducing regressions or failures into production environments.

Service Reliability: Ensuring the reliability and availability of software services by implementing robust monitoring, alerting, and incident response systems. Focus on minimizing downtime and service disruptions to meet reliability targets.

Automation and Tooling: Develop and maintain automation tools and infrastructure to streamline repetitive tasks, improve efficiency, and reduce human error. Leverage tools for deployment, configuration management, and scaling to support the reliability and scalability of services.

Performance Optimization: Analyze system performance metrics and conduct capacity planning to ensure services can handle current and future traffic demands effectively. Identify performance bottlenecks, optimize resource utilization, and implement improvements to enhance service performance.

Unity is hiring a Staff Data Infrastructure Engineer to join the Team at SuperSonic Studios. We are looking for talented, curious, hands-on, business-oriented, and highly motivated candidate to enhance and support our extensive code infrastructure and our great data engineers, BI and Science teams. You will work with different stakeholders, BI, R&D, Growth, product team & Data science. Reporting to the Director of Data Infrastructure and co-working with the Data Infrastructure Manager. You must have a good understanding of the business and internal customers needs in order to provide them with the most useful and clear infrastructure. Also, we welcome you to put your ideas on the table and take initiatives during the project life cycles.

What you'll be doing

A Staff Data Infrastructure Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. Working closely with data scientists, software engineers, and other stakeholders to ensure the availability, usability, and integrity of data. Managing the cost reduction of the data team over the data infrastructure
Handling the POCs and new projects, supporting all the data engineering team members, providing technical guidance and assistance.
In charge of the machine-learning data stuck for offline and online.
Overseeing Data Architecture and Management, Managing the cost reduction of the data team.
Work with top notch data tools and environments at high data scale and super significant to the business. PB data scale.
Working on a large scale of Data, creating data lake infrastructure based on docker/Airflow combined with lots of AWS services & creating MASS ETL tools.
In addition, creating the data lake of the division, along with Presto over EMR.
In charge of 1B events per day, including log-servers written in Go-lang.
Working with Upsolver over AWS kinesis streams.