Total 3 java developer job vacancies in pune

Principal Software Engineer, Pune

We are looking for a Principal Software Engineer who defines and drives the technical strategy for large‑scale, distributed, and cloud‑native systems. This role operates at a company and platform level, designing foundational architectures, enforcing engineering standards, and leading complex technical transformations that impact multiple teams and products.

You will act as a technical authority and architect, balancing short‑term delivery needs with long‑term scalability, reliability, security, and cost efficiency. This role requires deep hands‑on expertise in Java, Python, SQL, distributed systems, cloud platforms, and modern DevSecOps practices, along with the ability to guide teams in AI‑driven development and generative tooling adoption.

Responsibilities

• Define and evolve the technical strategy for large‑scale, distributed, and high‑availability systems
• Design foundational platforms, frameworks, and shared services that impact multiple teams
• Lead architectural transformations for legacy systems and large‑scale applications
• Drive system‑wide decisions with a strong focus on scalability, performance, resilience, security, and maintainability
• Translate ambiguous business requirements into robust, future‑proof technical architectures
  
  Platform Governance & Engineering Standards
•  Develop and enforce governance policies for APIs, security, cloud infrastructure, and system integrations
• Define company‑wide best practices for engineering quality, reliability, observability, and efficiency
• Establish architectural guardrails to ensure consistent design and implementation across teams
• Drive adoption of security, compliance, and infrastructure automation best practices
  
  Cloud, DevSecOps & Cost Optimization
•  Establish strategies for cost‑efficient cloud resource utilization, scaling, and performance optimization
• Architect standardized CI/CD frameworks used across multiple teams
• Define DevSecOps guardrails ensuring secure, compliant, and consistent delivery pipelines at scale
• Champion Infrastructure‑as‑Code, automation, and operational excellence
  Data, Streaming & Distributed Systems
•  Provide technical leadership in large‑scale data processing, streaming architectures, and messaging systems
• Design and evolve systems using Kafka, queues, async processing, and event‑driven patterns
• Guide teams on concurrency, fault tolerance, back‑pressure handling, and system resilience
  
  AI & Engineering Innovation
•  Guide teams in AI‑driven development practices, including the responsible use of Generative AI tooling
• Evaluate AI and GenAI technologies for quality, scalability, security, and real business value
• Design and integrate AI/ML capabilities into systems from a platform and application engineering perspective
• Champion innovations that improve developer productivity, automation, and engineering efficiency
  Technical Leadership & Collaboration
•  Act as a technical mentor and design authority for senior and mid‑level engineers
• Engage in deep technical problem‑solving, influencing system‑wide technical decisions
• Collaborate closely with Product, Security, Operations, and Platform teams
• Lead by example through hands‑on design reviews, architectural guidance, and complex issue resolution
  
  Required Technical Skills: Core Engineering 
•  Java (Spring Boot, REST, Microservices, JVM internals)
• Python (core Python, scripting, automation, data processing)
• SQL (advanced querying, schema design, performance tuning)
• Strong knowledge of Data Structures, Algorithms, and System Design
• Scripting languages (Shell, Bash, or similar)
  
  Systems & Platforms
• Distributed systems, concurrency, fault tolerance, scalability patterns
• Cloud platforms (Azure / AWS / GCP) and cloud‑native architectures
• Containers and orchestration (Docker, Kubernetes)
• CI/CD, DevSecOps, Infrastructure‑as‑Code
• Messaging and streaming systems (Kafka, event‑driven architectures)
  
  AI / Data (Working Knowledge)
• Experience integrating AI/ML or GenAI APIs into production systems
• Understanding of data pipelines, model deployment, and operational AI concerns
• Ability to assess where AI adds value versus unnecessary complexity

We’re looking for an AI Lead Developer with deep expertise in Generative AI and Agentic AI systems, combined with strong architectural leadership and client engagement capabilities.

This is a high-visibility role where you’ll architect scalable GenAI platforms, lead engineering teams, manage enterprise AI engagements, and build production-grade intelligent systems powered by LLMs, RAG architectures, ReAct agents, and advanced AI workflows.

What You’ll Do

• Architect and lead development of enterprise-grade Generative AI solutions using LLMs and advanced prompting strategies.

• Design and implement Agentic AI workflows, including ReAct (Reasoning + Acting) agents and multi-agent orchestration systems using frameworks such as LangGraph and LangChain.

• Build scalable Retrieval-Augmented Generation (RAG) architectures with context engineering, evaluation pipelines, and guardrails.

• Develop and optimize advanced prompting techniques (few-shot, zero-shot, chain-of-thought, self-reflection, structured prompting, tool-augmented prompting).

• Implement structured interaction frameworks using Model Context Protocol (MCP) or similar standards.

• Develop asynchronous, distributed AI applications optimized for performance and horizontal scale.

• Design modular AI systems using microservices architecture and API-first design principles.

• Implement AI monitoring, observability, and evaluation frameworks using tools such as Langfuse (for tracing, performance monitoring, hallucination tracking, and cost analysis).

• Work closely with DevOps teams to productionize AI solutions using Docker, containerization best practices, CI/CD pipelines, and cloud-native deployment models.

• Lead client and vendor engagements as the AI technical authority — driving architecture decisions and AI solution roadmaps.

• Mentor and manage AI/ML engineering teams, setting technical standards and architectural best practices.

• Deploy and manage AI systems in Azure cloud environments (preferred).

• Develop backend AI services, APIs, and data pipelines using Python and SQL.

• Drive responsible AI practices, governance frameworks, and model lifecycle management.

About the Role:

As an Engineer, you’ll work with a team of exceptional technologists who thrive on learning, experimentation, and transforming cutting‑edge ideas into real‑world solutions.

We are seeking a skilled Full‑Stack Engineer with strong experience in Angular on the frontend and Java-based backend development. The ideal candidate will design, develop, and maintain scalable web applications, collaborating closely with product, UX, and DevOps teams. Our team is co-located and has adopted SAFE Agile, with central technology hubs in Pune, Chennai, Chicago.

 Key Responsibilities

• Design and develop responsive UI using Angular, TypeScript, HTML, and CSS
• Build and maintain RESTful APIs using Java, Spring Boot
• Develop robust, clean, secured, quality and scalable code
• Integrate frontend with backend services and APIs
• Ensure performance, security, and quality through testing and code reviews
• Troubleshoot and resolve production issues.