Principal Enterprise Software Engineer

2 weeks ago

haryana, India DeepRunner AI Full time

Role Overview We are seeking an exceptional Principal Enterprise Software Engineer to serve as a technical leader and architectural authority for our engineering organization. In this role, you will be responsible for designing and implementing distributed, multi-tenant systems that operate at scale while maintaining the highest standards of reliability, security, and performance. As a Principal Engineer, you will be the driving force behind our architectural decisions, establishing and evangelizing best practices across the organization. You will work on our most complex technical challenges, designing systems that abstract away infrastructure complexity while delivering cloud-agnostic solutions that can seamlessly operate across any deployment environment. Your deep expertise in distributed systems will be crucial in solving problems related to data consistency, system resilience, and performance optimization at scale. You will collaborate closely with engineering teams to ensure our platforms embody principles of modularity and isolation, enabling rapid development while maintaining system integrity. This role requires both hands-on technical excellence and the ability to influence and mentor engineers across the organization, setting the technical vision for how we build enterprise-grade software systems. Qualifications Required: 10+ years of hands-on experience designing and building distributed, multi-tenant, large-scale business applications in production environments Expert-level knowledge of database technologies (both SQL and NoSQL), including deep understanding of query optimization, indexing strategies, sharding, and replication patterns Extensive experience with ORM frameworks and their appropriate use cases, including performance implications and anti-patterns Proven expertise in message broker architectures (Kafka, RabbitMQ, SQS, etc.) and event-driven systems design Deep understanding of API design principles, including RESTful services, GraphQL, gRPC, and the implementation of idempotent operations Mastery of distributed systems concepts including eventual consistency, CAP theorem, consensus algorithms, and conflict resolution strategies Demonstrated experience building resilient systems with circuit breakers, retry mechanisms, graceful degradation, and chaos engineering practices Strong background in security best practices including authentication/authorization patterns, data encryption, secret management, and zero-trust architectures Proven track record of performance optimization at scale, including profiling, load testing, and systematic bottleneck elimination Experience designing cloud-agnostic architectures with successful deployments across multiple cloud providers (AWS, GCP, Azure) and on-premises environments Excellence in creating modular, loosely-coupled systems with clear service boundaries and well-defined interfaces Preferred: Active contributions to open-source projects, particularly in areas related to distributed systems, databases, or cloud infrastructure Experience with container orchestration platforms (Kubernetes, Docker Swarm) and infrastructure as code Experience with polyglot architectures and multiple programming paradigms Track record of successfully migrating legacy monolithic applications to modern distributed architectures Experience with observability platforms and distributed tracing systems

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