Principal Software Engineer

We are seeking a highly experienced Principal Backend Engineer with strong hands-on expertise in Java and Python to design, build, and scale enterprise-grade talent management platforms. In this role, you will act as a technical leader—owning backend architecture, driving engineering excellence, and collaborating closely with product, data, and platform teams to deliver reliable, scalable, and high-performance systems. In this role you will… Design, develop, and optimize high-performance backend services using Java and Python Lead the design and implementation of microservices-based architectures Build and maintain RESTful APIs, data pipelines, and event-driven systems Ensure system scalability, reliability, security, and performance Collaborate with product, frontend, data, and platform teams to translate business needs into technical solutions Drive backend best practices around code quality, testing, observability, and security Mentor and review code for senior and mid-level engineers Participate in architectural reviews and influence long-term platform strategy Support production systems through monitoring, troubleshooting, and performance tuning You have what it takes if you have… Python Stack (Must Have) Python 3.11+ – async/await, type hints, dataclasses FastAPI Pydantic – API development, request/response validation, OpenAPI specifications SQLAlchemy – ORM usage, async queries, Alembic migrations Async Programming – asyncio, async DB access, non-blocking I/O Testing – pytest, async testing patterns, mocks, fixtures Java Stack (Must Have) Java 17 / 21 – modern Java features, records, pattern matching, virtual threads Spring Boot 3.x – REST APIs, validation, Actuator, configuration management Spring Data JPA – repositories, custom queries, entity relationships Spring Security – JWT, OAuth2, authentication and authorization Testing – JUnit 5, Mockito, integration testing, Testcontainers Backend Architecture REST APIs – API-first design, OpenAPI/Swagger documentation Microservices – service decomposition, inter-service communication Data Pipelines Events – asynchronous processing, messaging patterns Database Design – relational databases, schema design, performance tuning DevOps Cloud Docker – containerization, multi-stage builds Build Tools Maven (Java) Pants / pip / poetry (Python ecosystem) AWS – EKS, ECR, RDS Cloud-Native Patterns – scalable deployments, resilience, fault tolerance CI/CD, Monitoring Collaboration CI/CD – GitHub Actions, automated testing and deployments Monitoring Observability – logging, metrics, tracing, error tracking Version Control – Git, pull requests, code reviews Collaboration – working effectively in cross-functional agile teams Extra dose of awesome if you have… Experience with event-driven systems (Kafka, SNS/SQS, etc.) Exposure to GraphQL or gRPC Experience building SaaS platforms with multi-tenant architectures Knowledge of security best practices and compliance requirements Familiarity with AI/ML data pipelines or analytics platforms #LI-Onsite