Senior Software Engineer - AI-First Development

• Software Development Design, develop, and maintain scalable, cloud-native applications and microservices.
• Develop enterprise applications using Java and Python.
• Build modern cloud-native solutions on Microsoft Azure.
• Design and implement secure RESTful APIs and distributed systems.
• Develop data-intensive applications leveraging Azure Databricks, Apache Spark, andDelta Lake.
• Deliver production-ready software following Agile and DevOps best practices.
• Take complete ownership of services throughout design, development, deployment, monitoring, and production support.

AI-First Engineering

• Leverage AI-powered development tools to improve software delivery speed, quality, and consistency.
• Build reusable AI workflows that automate repetitive engineering activities.
• Continuously identify opportunities to improve developer productivity using AI.
• Stay current with emerging AI technologies and integrate them into daily engineering practices.
• Promote responsible and effective AI adoption across the engineering team.

Developer Productivity & Automation Develop AI-driven solutions to automate:.

• Code generation
• Unit and integration testing
• Code reviews
• Documentation generation
• Debugging and root cause analysis
• Refactoring
• CI/CD pipeline creation
• Release automation
• Production support automation
• Developer onboarding
• Knowledge sharing
• Routine engineering and operational tasks

Collaboration

• Work closely with architects, product owners, QA, DevOps, and business stakeholders.
• Collaborate effectively with onsite and offshore engineering teams.
• Participate in architecture discussions, code reviews, sprint planning, and technical design sessions.
• Mentor junior and mid-level engineers while promoting engineering excellence and AI adoption., * Leverage AI to significantly improve engineering productivity and software quality.
• Continuously automate repetitive engineering tasks and workflows.
• Take full ownership of applications and services from design through production.
• Collaborate effectively across onsite and offshore teams.
• Mentor fellow engineers and promote engineering excellence.
• Continuously evaluate and adopt emerging AI technologies to improve software delivery.

• We are seeking a highly skilled Senior Software Engineer - AI-First Development who is

• passionate about building modern, scalable software while leveraging Artificial Intelligence to

• dramatically improve engineering productivity.

• This is a hands-on engineering role for someone who embraces AI-first software development,

• automates repetitive engineering tasks, and takes end-to-end ownership of the services they build.

• The ideal candidate is an expert in Java, Python, Azure, Azure Databricks, Microservices,

• and modern SDLC practices, with proven experience delivering cloud-native enterprise

• applications. Beyond technical expertise, we are looking for an engineer who actively uses AI to

• accelerate software delivery, improve code quality, automate engineering workflows, and

• increase developer productivity., Candidates must demonstrate strong hands-on experience in the following area: Core Programming

• Expert-level Java (7+ years)

• Strong Python development (4+ years)

• Object-Oriented Design (OOD) & Design Patterns

• Spring Boot

• RESTful API Development

• Data Structures & Algorithms

Cloud & Data Engineering

• Microsoft Azure
• Azure Databricks
• Apache Spark (PySpark / Spark SQL)
• Delta Lake
• Azure Data Factory (ADF)
• Azure Storage (ADLS Gen2 / Blob Storage)
• SQL and Data Modeling
• Databases
• Microsoft SQL Server
• Couchbase
• Azure Cosmos DB or MongoDB
• Architecture & Microservices
• Microservices Architecture
• Distributed Systems
• Event-Driven Architecture
• REST API Design
• Messaging (Kafka / Azure Event Hub / Azure Service Bus)
• Redis Caching

DevOps & Modern SDLC

• Git
• CI/CD Pipelines
• Azure DevOps and/or GitHub Actions
• Docker
• Kubernetes
• Automated Testing
• Secure SDLC
• Agile / Scrum

AI-First Software Development Candidates should demonstrate practical, day-to-day use of AI to improve software engineering productivity.

• GitHub Copilot
• Cursor
• Claude Code
• ChatGPT
• AI-Assisted Code Generation
• AI-Assisted Unit Test Generation
• AI-Assisted Debugging
• AI-Assisted Refactoring
• AI-Assisted Documentation
• Prompt Engineering
• AI Workflow Automation
• AI Agents for Software Engineering
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)

Ownership & Collaboration

• End-to-end ownership of services from design through production support
• Strong troubleshooting and production support experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Experience working effectively with onsite and offshore engineering teams
• Strong collaboration, mentoring, and code review experience
• Passion for continuous learning and AI adoption

Nice-to-Have Skills

• Microsoft Fabric
• Azure AI Foundry
• Azure OpenAI / OpenAI APIs
• Infrastructure as Code (IaC)
• LangChain or similar AI orchestration frameworks
• Vector databases
• Site Reliability Engineering (SRE)
• Platform Engineering
• Observability tools (Grafana, Prometheus, Azure Monitor, Application Insights)
• Power BI or Tableau, * Bachelor's degree in computer science, Engineering, or a related field, or equivalent
• practical experience.
• 7+ years of professional software development experience.
• Strong expertise in Java and Python.
• Hands-on experience with Microsoft Azure.
• Strong experience with Azure Databricks, Apache Spark, and Delta Lake.
• Proven experience designing and developing enterprise-grade microservices and REST APIs.
• Strong understanding of distributed systems and cloud-native architectures.
• Experience with Docker, Kubernetes, CI/CD, and DevOps practices.
• Experience with Git, automated testing frameworks, and Agile software development.
• Excellent analytical, debugging, and problem-solving skills.
• Strong verbal and written communication skills., * You are an engineer who thinks beyond writing code-you improve how software is built. You embrace ownership, enjoy solving complex technical challenges, and leverage AI as a force multiplier to deliver better software faster.
• You have a passion for continuous learning, thrive in collaborative environments, and are excited to help shape the future of AI-assisted software engineering while building scalable enterpriseapplications.