We are seeking a Senior Site Reliability Engineer to join our dynamic team and play a pivotal role in ensuring the reliability, availability, and performance of our mission-critical systems. In this role, you will lead efforts to design and implement robust infrastructure, automate operations, and proactively address performance and scalability challenges. Our project is driven by a commitment to delivering top-tier digital experiences to our customers, and as a Senior SRE, you will be at the forefront of ensuring our services are highly available, resilient, and able to scale with our growing demands. Join us in shaping the future of our technology landscape and be part of a team that values innovation, collaboration, and continuous improvement.

• At least Bachelor degree (IT field of study)
• 5 year(s) of experience in DataOps Engineering or DBA
• English – good written and verbal as we work with international teams on daily basis
• Mandatory technologies: Mongo DB and SQL (Relation) DB
• Proven track record of success in at least some of the following areas:
• Python and experience with data extraction, data cleansing and data wrangling;
• SQL and experience with relational databases;
• Codification of business rules (analytics) in one of the programming languages listed above;
• Data modeling, data mapping, data governance and the processes and technologies commonly used in this space;
• Data integration tools (e.g. Talend, SnapLogic, Informatica) and data warehousing / data lake tools;
• API based data acquisition and management

Optional

• Previous experience working in an Operations/SRE team
• Knowledge or Experience with Azure DevOps
• Security : Encryption; Network security; Network topology
• Experience with monitoring solutions via DataDog

• Maintain data within a warehouse environment supporting delivery of quality data outputs.
• Administer, Configure, Patch, Upgrade,etc - Relational SQL, distributed SQL and NoSQL databases including, but not limited to, MSSQL, PostgreSQL, MySQL, MemSQL, CrateDB, MongoDB, Cassandra, Neo4j, AllegroGraph, ArangoDB, Cosmos, etc.;
• Maintain a platform performing regular tasks such as user management and audit, resource utilization, alerts monitoring.
• Modify existing ETL processes in order to achieve automation where possible and to accommodate changes in the data structure.
• Have a good understanding of data platform best practices to achieve economies of scale, cost reduction and efficiencies.
• Excellent knowledge to manage Database performance tuning, backup and recovery methods.
• Migration of databases from legacy systems to cloud data platforms.