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Senior Data infrastructure Engineer

About the Team

Data is a team sport. We are professionals and team players with a massive impact on the company's data-driven culture so as we release tools, we also coach users and developers to adhere to best practices and unfold their potential. Is essential for us to support each other inside the team and be aware of each other's needs for knowledge to promote a learning culture through cooperation and incremental development. Everyone here must come with some experience, knowledge and good spirit to learn and support the team in its effort to evolve Data projects.

About the Role

Realtime data is gaining importance in Wildlife Studios, and the Data Platform team is taking a leading role in projects that involves it. The new data infrastructure engineer will play a central role in developing data applications, enhancing standards and helping the company to keep at the edge of Data computing in terms of latency, consistency and easiness to use and operate over the realtime stack from the day one at the team.

More about you

• Enjoy working with complex business logic and deal with large scale to build low latency systems;
• Smart and creative, both, you have the ability and persistence to solve problems, big and small. Curious by nature, you're constantly looking for ways to improve upon things;
• Demonstrate critical thinking and problem-solving capabilities both independently and collaboratively;
• You're flexible, fearless, and excited to help build something;
• You're hands-on, in the right ways; willing and able to do what's needed, no matter the task.

What you'll do

• Working proactively and closely with other data platform engineers to developing and defining the architecture of our cloud-based data infrastructure, creating SLOs, improving monitoring and deployment process to serve our most data-intensive services;
• Work proactively with other cloud infrastructure teams to improve cloud practices and propose new solutions to enhance the quality of our batch and real-time data infrastructure;
• Contribute to design, coding, testing and debugging steps of the development cycle of Data tools and services to ensure low operational footprint, reliability, availability, and reproducibility of our cloud infrastructure.
• Build APIs, IaC and automation to control data-centred stateful infrastructure hosted on Kubernetes clusters as all final releases of our Data Infrastructure Services are backed on Kubernetes (100%).

What you'll need

• Experience as a Data, Software or Infrastructure engineer (data related) on realtime or event-driven applications.
• BS in Computer Science, Engineer (Software or others), Statistics, Physics or a related field;
• Experience with Python, Scala, Java, Shell or Go (at least two) for automation and system operations;
• Experience with at least one Realtime infrastructure (among Flink, Kafka, AWS Kinesis, Storm, Spark) or stateful event-driven services on Kubernetes (like Machine Learning APIs, Spark streaming, AKKA, Kafka Connect, Kafka stream);
• Developer experience using Docker and Kubernetes;
• Experience creating CI/CD processes;
• Experience using Terraform for IaC;
• Experience with cloud solutions and best practices on AWS (tagging, IAM for example);
• Practical knowledge on Network specification and operation, especially on AWS;
• Proven experience applying SRE practices (especially observability and automation).

Plus

• Experience with orchestration frameworks like Apache Airflow;
• Developer Experience with Apache Beam, Kafka Connect, Kafka stream, Flink;
• Kubernetes Administration Certification (CKA);
• Experience developing or managing open-source NoSQL Databases (Cassandra, MongoDB, Redis, etc).

We welcome people from all backgrounds who seek the opportunity to help build the best gaming company, where everyone thrives.