Key Responsibilities

• Architect & Scale Systems: Lead the design, development, and optimization of fault-tolerant, high-performance backend services and asynchronous APIs using Python (FastAPI) or Java (Vert.x, Quarkus), ensuring they handle large-scale traffic with minimal latency.

• Full Product Lifecycle Ownership: Oversee features from ideation and prototyping to testing, deployment, and continuous improvement—working closely with product managers, designers, and DevOps engineers.

• Event-Driven Systems: Build and maintain asynchronous, real-time pipelines (e.g., pub/sub, message queues) to support fast data ingestion, processing, and third-party integrations.

• Performance & Reliability: Define and enforce best practices for monitoring, observability, and automated testing. Implement caching, backpressure, rate-limiting, and connection pooling strategies to achieve 99.9%+ uptime.

• Service Monitoring: Design and manage end-to-end observability stacks leveraging Prometheus (metrics) and Grafana (dashboards/alerting).

• AI & RAG Solutions: Architect Retrieval-Augmented Generation pipelines and AI-driven agents by integrating vector databases, LLM APIs (e.g., OpenAI), and custom prompt orchestration frameworks.

• Leadership & Mentorship: Guide mid-level engineers through code reviews, pair programming, and technical discussions, while promoting high engineering standards and cross-team collaboration.

Required Qualifications

• 5+ years of professional software engineering experience, with a strong track record of shipping and maintaining production-grade distributed systems.

• Advanced expertise in Python (FastAPI) or Java (Vert.x, Quarkus), with deep knowledge of async programming, concurrency models, profiling, and performance tuning.

• Frontend Development Experience: Solid experience with React.js and Next.js for building and maintaining modern web applications

• Proven ability to design and implement REST, GraphQL, or gRPC APIs that handle high traffic loads, with working knowledge of HTTP/2, WebSockets, and low-latency protocols.

• Strong cloud background: AWS, GCP, or Azure, containerization with Docker, orchestration via Kubernetes/Helm, and IaC tools like Terraform or CloudFormation.

• Solid understanding of data storage: relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB), including schema design for scalability.

• Hands-on experience with asynchronous ecosystems, including message brokers (Kafka, RabbitMQ, AWS SQS), task queues (Celery, AWS Lambda) or Java equivalents, and stream-processing frameworks.

Preferred Qualifications

• Practical experience with RAG pipelines, vector search technologies (e.g., Pinecone, Weaviate), and building autonomous AI agents using LangChain or similar.

• Exposure to embedding-based retrieval, prompt engineering, and orchestration of multi-LLM workflows.

• Familiarity with observability (OpenTelemetry, Prometheus, Grafana) and security best practices (OAuth2, JWT, encryption standards).

• Strong leadership and communication skills with the ability to influence architecture, mentor peers, and collaborate effectively in cross-functional teams.