A Software Engineer at Securin plays a critical role in building and scaling the next generation of cybersecurity and vulnerability management platforms. At its core, Securin helps organizations secure their digital attack surface, which requires handling massive feeds of security data, vulnerability databases, and complex threat intelligence. As an engineer here, you will not just write code; you will design high-performance systems capable of parsing, storing, and serving complex data structures in real time.

The impact of this role is directly reflected in the speed and accuracy with which Securin's products identify risks for global enterprises. You will work on backend systems that ingest nested JSON data feeds, map complex relational databases, and expose highly optimized REST APIs. This requires a deep understanding of application architecture, API development, and data optimization.

Working at Securin means joining a highly technical, security-focused environment. Whether you are developing in Java Spring Boot or Python, your contributions will directly power tools that safeguard digital infrastructure. It is a challenging but highly rewarding space where clean code and efficient database design are paramount.

The questions you will encounter during the Securin hiring process are highly practical and reflective of real-world development challenges. Rather than focusing solely on abstract puzzle-solving, the interviewers aim to evaluate your ability to design, implement, and optimize working software.

The following categories represent the common patterns observed in Securin's technical evaluations.

REST API Development & JSON Parsing

These questions evaluate your ability to ingest raw data, parse it, and expose it securely and efficiently through API endpoints.

• How do you parse a complex, nested JSON file and map its fields to a relational database using JPA?

Preparing for an interview at Securin requires a shift in focus from standard algorithmic drill sites to practical, full-stack or backend application development. You must be ready to demonstrate that you can build functional, clean, and optimized applications from scratch.

To succeed, you should frame your preparation around the core criteria that Securin's engineering team values most:

Practical Application Delivery – You must be able to write working code that compiles, runs, and integrates with a database. Your success will depend on your ability to deliver a functional API or application within a set timeframe.

Database & Schema Design – Designing clean relational schemas is critical. You need to show that you understand how to structure tables, handle nested data, and write efficient queries to retrieve that data.

Problem-Solving & Resourcefulness – Securin allows candidates to use search engines during their assessments. They are testing how effectively you can search for solutions, read documentation, and implement concepts you might not have mastered beforehand.

Technical Communication – You will be asked to walk through and defend your code. You must be able to explain your design choices, framework configurations, and optimization strategies clearly to a technical panel.

The interview process at Securin is highly technical, hands-on, and designed to simulate the actual day-to-day work of a software engineer. Rather than relying on standard multiple-choice questions or abstract data structure puzzles, the company heavily favors long-form development assessments and live code evaluations.

The typical recruitment pipeline consists of the following phases:

• Initial Screening / Telephonic HR: A brief introductory call focusing on your background, technical interests, communication skills, and alignment with company policies (such as relocation to Chennai and service agreements).
• The Practical Development Assessment (The Hackathon): This is the core of the Securin evaluation. You will be given a development task—typically building a REST API or a complete backend application from a provided JSON dataset—with a generous time limit ranging from 3 to 6 hours.
• Technical Evaluation & Code Review: A deep-dive session where you present your completed application to a panel of engineers. You will be questioned on your architectural choices, database schemas, and code optimization.
• Final HR & Leadership Round: A discussion focusing on cultural fit, long-term career goals, and compensation details.

The timeline shown above represents the typical progression for both campus and off-campus candidates. The most critical phase is the transition from Stage 2 to Stage 3, where your practical code submission is immediately put under technical scrutiny. Depending on the role and team, some candidates may undergo an additional offline hackathon phase at the Chennai office to verify their coding proficiency in a supervised environment.

To excel in the Securin technical evaluations, you must understand the specific technical areas where candidates are most heavily tested.

REST API Development & JSON Parsing

At the heart of Securin's engineering challenges is the ability to ingest raw data and expose it cleanly. You will be given a complex JSON file containing nested objects and expected to parse it, store it in a database, and build functional API endpoints around it.

Be ready to go over:

• JSON File Deserialization – Reading local or remote JSON files and parsing them into domain models.
• Spring Boot / Flask Web Layer – Setting up controllers, defining request mappings, and handling HTTP status codes correctly.
• API Filtering & Pagination – Implementing backend-level sorting, limit/offset pagination, and dynamic query filtering (e.g., min/max ranges).
• Advanced concepts – Handling nested objects within JSON data by utilizing JPA annotations like @Embedded and @Embeddable to represent complex value types without creating unnecessary table joins.

Example scenarios:

• "Given a 10MB JSON file containing security vulnerability data, parse the file on application startup, store the records in an H2 database, and expose a GET endpoint to retrieve them with pagination."
• "Create a POST endpoint that accepts a nested JSON payload representing a system asset and its associated vulnerabilities, saving both entities while maintaining their foreign key relationships."

Database Integration & JPA Mappings

Creating a functional API is meaningless without a solid data persistence layer. You must show a strong grasp of relational database design, object-relational mapping (ORM), and query performance.

Be ready to go over:

• Entity Relationships – Configuring @OneToOne, @OneToMany, and @ManyToOne associations.
• Database Integration – Connecting your application to a relational database (such as PostgreSQL, MySQL, or H2) and verifying schema generation.
• Query Optimization – Writing repository methods that execute clean, index-friendly SQL queries.
• Advanced concepts – Using transaction management (@Transactional) to ensure data consistency during bulk file parsing and database insertion.

Example scenarios:

• "Demonstrate how to map a parent-child relationship where a single host machine can have multiple open ports, ensuring that deleting the host machine cascades the deletion to the ports."
• "Write a JPA query that retrieves only the top K records from a table based on a specific severity score, ensuring the database performs the sorting rather than sorting the collection in application memory."

Language Proficiency & Clean Code

Whether your primary stack is Java or Python, the interviewers will evaluate the quality of your code. They look for clean architecture, proper separation of concerns, and idiomatic language usage.

Be ready to go over:

• Separation of Concerns – Organizing your code cleanly into Controller, Service, Repository, and Model layers.
• Error Handling – Implementing global exception handlers to return clean, standardized error responses to API clients.
• Language Idioms – Utilizing modern language features (such as Java Streams or Python list comprehensions) to write readable, maintainable code.

Example scenarios:

• "Refactor a monolithic controller method into a clean, service-oriented structure where business logic is strictly separated from the HTTP transport layer."
• "Implement a custom exception handler that catches database constraint violations and returns a friendly JSON error message with a 400 Bad Request status code."