The role is within a team which is responsible for classification abilities in Sentra. We use a combination of ML abilities, including NER and LLMs, along with great engineering and analytics to deliver findings on millions of files and tables a day.
Were composed of talented Software Engineers, Data Engineers, Data Scientists and Data Analysts. You will be leading the development of product features as well as enhancement of ML and Big Data abilities by working closely with other teams, product managers, and other data functions within the team.
Responsibilities
Designing and building real time services
Planning and implementing the rollout, testing and monitoring of features deployed to production end to end
Conducting design and code reviews with the other team members
Enabling Data Analysts and Data Scientists by giving them the best tools they need to make Sentra amazing
Monitoring performance and prioritizing work by making data-driven decisions
Drive and passion for pushing cross R&D-product workflows and initiatives
5+ years of experience in building backend software using a high-level language such as Python, Go, Javascript, etc.
5+ years of experience with building data intensive applications/services
Experience in architecting and developing cloud large-scale distributed systems
Experience building services with one of the large cloud providers (AWS, Azure, GCP)
Solid understanding of software design principles, concurrency, synchronization, memory management, data structures, algorithms, etc.
A Customer oriented mindset
Bachelor's degree in Computer Science, Engineering, or Mathematics
Self-motivated and passionate attitude
Experience working with Big Data tools like Snowflake/BigQuery/Athena, and common frameworks such as Spark/Pandas – an advantage
Experience with ETL software such as Airflow/Dagster/AWS Glue – an advantage
Knowledge in the Cyber Security / Data Security domain – an advantage
Experience with AWS – an advantage
Experience building modern SaaS applications in terms of architecture and best practices – an advantage
