software Development Engineer III

About the role

We are seeking a highly motivated Software Development Engineer III (SDE III) to design, develop, and scale enterprise-grade backend systems and AI-powered applications. The ideal candidate will possess strong software engineering fundamentals, hands-on experience with distributed systems, cloud-native architectures, and modern AI technologies, while contributing as a senior individual contributor within an agile engineering team.

This role requires deep technical expertise, strong problem-solving skills, and the ability to drive complex projects from design through production deployment.

You will be responsible for

• Design, develop, and maintain scalable and resilient backend services using Java and/or Python.
• Build cloud-native applications and microservices using Spring Boot and industry-standard design principles.
• Design and implement event-driven architectures using Kafka and asynchronous messaging patterns.
• Develop and integrate Agentic AI solutions, including AI agents, orchestration workflows, and LLM-powered applications.
• Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions.
• Design and optimize data models for both RDBMS and NoSQL databases.
• Build highly available and fault-tolerant distributed systems capable of handling large-scale workloads.
• Deploy and manage applications on Kubernetes and cloud platforms such as Azure, AWS, or GCP.
• Drive engineering excellence through code reviews, automated testing, observability, and operational best practices.
• Troubleshoot production issues and implement performance, reliability, and scalability improvements.
• Mentor junior engineers and contribute to technical design discussions and architecture reviews.

You will need

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of professional software development experience.
• Strong programming skills in Java and/or Python.
• Experience building applications using Spring Boot and microservices architecture.
• Solid understanding of Object-Oriented Design, Design Principles, and common Design Patterns.
• Strong analytical and problem-solving abilities.
• Hands-on experience with Kafka and event-driven systems.
• Experience designing and developing distributed applications and services.
• Strong knowledge of relational databases and NoSQL databases.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Experience deploying and operating applications on Kubernetes.
• Familiarity with Agile development methodologies and CI/CD practices.

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Preferred Qualifications

• Experience developing Agentic AI applications using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, MCP, or similar technologies.
• Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
• Knowledge of observability and monitoring tools such as New Relic, Prometheus, Grafana, or OpenTelemetry.
• Experience implementing Business Driven Development (BDD) practices.
• Exposure to platform engineering and cloud-native architectures.

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Technical Skills

Core Engineering

• Design Principles & Design Patterns
• Data Structures & Algorithms
• Problem Solving
• System Design

Development

• Java
• Python
• Spring Boot
• REST APIs
• Microservices

Architecture

• Distributed Systems
• Event-Driven Architecture
• Kafka
• Business Driven Development (BDD)

Data

• PostgreSQL, MySQL, Oracle
• MongoDB, Cassandra, DynamoDB
• Data Modeling & Query Optimization

Cloud & DevOps

• Azure (preferred), AWS, or GCP
• Kubernetes
• Docker
• CI/CD Pipelines

AI & Emerging Technologies

• Agentic AI
• LLM Integrations
• RAG Architectures
• AI Workflow Orchestration

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Success Profile

The successful SDE III candidate will demonstrate:

• Strong ownership and accountability.
• Ability to independently drive complex technical initiatives.
• Excellent problem-solving and debugging skills.
• Passion for building scalable, reliable, and maintainable systems.
• Curiosity and enthusiasm for applying AI technologies to solve business problems.
• Effective collaboration and m…