The Senior Backend Engineer team (Data Team) builds the systems that discover, understand, and govern customer data at petabyte scale. We turn raw enterprise data into the security signal the rest of the platform builds on, working on problems like distributed systems running inside customer clouds, analytics over large data lakes, and detection logic that has to be both precise and fast. Youll work end-to-end and ship features that every Sentra customer uses.
Responsibilities
Designing and implementing core components within the classification and policy stack, including microservices, ETLs, and shared libraries
Owning features end-to-end: design, implementation, rollout, testing, monitoring, and production operation
Conducting design and code reviews with the team and across R&D
Driving scale, performance, and cost optimizations against multi-tenant data-lake workloads
Partnering with AI/ML, Research, Product, and Frontend to ship cross-functional initiatives
Requirements:
Requirements
4+ years of experience in software development with Python; TypeScript or JavaScript a plus
In-depth understanding of modern SaaS application architecture and best practices
Strong experience with relational databases (PostgreSQL) and at least one NoSQL store (MongoDB preferred)
Comfortable writing and optimizing analytical SQL over large datasets (Athena, BigQuery, Snowflake, or equivalent)
Demonstrated experience building and operating microservices in a cloud-native environment, preferably AWS
Experience with asynchronous, message-driven systems (Kafka, SQS, or similar)
Hands-on experience using AI development tools (Claude, Cursor, Copilot) in day-to-day engineering
Strong organizational skills with the ability to prioritize effectively
A Bachelors degree in Computer Science, Engineering, or equivalent experience
Self-motivated with a passionate approach to work
Familiarity with frameworks such as FastAPI and NestJS – an advantage
Experience with workflow orchestration (Dagster, Airflow, Prefect, or similar) – an advantage
Background in the Cyber Security or Data Security domain (DSPM, DLP, DDR, or data governance) – an advantage
ML pipeline or NLP exposure – an advantage
Requirements
4+ years of experience in software development with Python; TypeScript or JavaScript a plus
In-depth understanding of modern SaaS application architecture and best practices
Strong experience with relational databases (PostgreSQL) and at least one NoSQL store (MongoDB preferred)
Comfortable writing and optimizing analytical SQL over large datasets (Athena, BigQuery, Snowflake, or equivalent)
Demonstrated experience building and operating microservices in a cloud-native environment, preferably AWS
Experience with asynchronous, message-driven systems (Kafka, SQS, or similar)
Hands-on experience using AI development tools (Claude, Cursor, Copilot) in day-to-day engineering
Strong organizational skills with the ability to prioritize effectively
A Bachelors degree in Computer Science, Engineering, or equivalent experience
Self-motivated with a passionate approach to work
Familiarity with frameworks such as FastAPI and NestJS – an advantage
Experience with workflow orchestration (Dagster, Airflow, Prefect, or similar) – an advantage
Background in the Cyber Security or Data Security domain (DSPM, DLP, DDR, or data governance) – an advantage
ML pipeline or NLP exposure – an advantage
This position is open to all candidates.
