Java Lead Developer

Job Title: Java Lead Developer – Cucumber & AI

Experience: 12-15 Years

Required Skills: Java, Cucumber, AI

Job Description:

We are looking for a Java Lead Developer with strong experience in Java development, Cucumber-based testing, and at least 1 year of experience in AI. The candidate should have good technical and leadership skills, with the ability to guide the development team and ensure quality delivery.

Key Responsibilities:

Lead Java development activities and guide the team in designing and developing applications. Work with Cucumber for automated testing and BDD-based test scenarios. Contribute to AI-related development and implementation. Collaborate with QA and other teams to ensure application quality, performance, and timely delivery.

Mandatory Skills: Java, Cucumber, AI experience of at least 1 year.

Experience: 6+ years in Java development, with relevant Cucumber experience and 1 year of AI experience.

Staff Engineer - AI:

Location : India, Remote

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

• Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
• Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
• Effectively communicate complex design and architecture details
• Understand company and industry-wide trends to help develop new technologies
• Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
• Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

• BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
• 8-15 years of professional experience in engineering with a history of technical innovation
• Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

• The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
• Demonstrated success in designing and developing large-scale, complex systems
• Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

Role:  Senior Software Developer – SDE3

Experience: 8-12 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

Job Description

We are seeking a highly skilled Senior Full-Stack Developer to design, develop, and deliver scalable, high-quality digital solutions. The ideal candidate combines deep expertise in modern microservices architecture, cloud platforms, and end-to-end feature delivery, with proficiency in agentic software development and a strong focus on engineering excellence, collaboration, and continuous innovation.

Responsibilities:

• Design and develop scalable, resilient applications using microservices architecture.

• Build end-to-end full-stack features, covering UI (React, TypeScript, Redux) and backend services.

• Develop Java (17+) / Spring Boot (3.x) microservices using Domain-Driven Design (DDD) and OpenAPI 3.x specifications.

• Implement event-driven architectures using Kafka, including topic design, consumer groups, and reliable message processing.

• Design optimized database schemas, write advanced SQL queries, and manage migrations using Liquibase within CI/CD pipelines.

• Lead low-level design (LLD) and define REST API and event contracts aligned with enterprise architecture standards.

• Conduct code reviews, enforce coding standards, and ensure high quality using SonarQube gates.

• Ensure high test coverage (>90%) using JUnit, Mockito, Testcontainers, Cucumber, Jest, and React Testing Library.

• Collaborate within Agile teams, mentor developers, and drive timely delivery of high-quality solutions.

• Leverage AWS, Docker, Kubernetes, CI/CD pipelines to improve productivity and system performance.

• Leverage AI-driven software engineering practices, including LLM-powered development tools, agentic AI workflows, code generation, automated testing, and AI-assisted debugging, to improve developer productivity, software quality, and delivery efficiency.

Required Qualification:

• Bachelor’s or Master’s degree in computer science, Information Technology, or a related field.

• Minimum 8 years of professional experience, including at least 5 years in full-stack development.

• Hands-on experience with microservices-based architecture and distributed systems.

• Strong understanding of functional programming, design patterns, and software architecture principles.

• Experience working in cloud environments (preferably AWS).

• Proficiency with CI/CD pipelines, Docker, and Kubernetes.

• Strong analytical thinking and problem-solving capabilities.

Must-Have Skills

• Strong proficiency in React.js, including Hooks, TypeScript, and state management using Redux Toolkit or React Query, along with testing frameworks such as Jest and React Testing Library.

• Extensive experience with Java 17+, Spring Boot 3.x, and the Spring ecosystem (Spring Cloud, Spring Security with OAuth 2.0), along with JPA/Hibernate.

• Hands-on experience with Apache Kafka, including topic design and managing consumer groups for event-driven architectures.

• Solid expertise in PostgreSQL, including schema design, performance tuning, indexing strategies, and database migration management using Liquibase.

• Proficiency in AI-assisted and agentic software development practices, with hands-on experience using AI coding assistants, autonomous development agents, and AI-enabled testing and code quality tools.

Good-to-Have Skills

• Experience with Redis, GraphQL, and AWS cloud services.

• Familiarity with AI-assisted development tools such as GitHub Copilot.

• Exposure to monitoring and observability tools like Kibana/ELK stack, Grafana, Glowroot, or Datadog.

• Experience working with modern development environments and IDEs (e.g., Kiro IDE).    

Role: Developer – Java GenAI

Location: Hyderabad / Bangalore

Work Mode: Hybrid

Experience: Relevant experience in Java, GenAI and Microservices

Notice Period: Immediate to 15th October Joiners

Key Skills: Java, Spring Boot, Microservices, Kafka, LLM, RAG, Vector Databases, LangChain/LangGraph, Spring AI, PL/SQL, GCP/AWS, JMS, DevOps, CI/CD, JUnit, Mockito, Oracle/RDBMS, Redis/NoSQL.

Good to Have: Azure, Docker, Kubernetes/PaaS, Python, GitHub Copilot.

Strong understanding of Agile/Scrum with excellent communication, teamwork, organization and problem-solving skills.

Key Responsibilities:

Team Leadership and Management:

• Lead, mentor, and manage a team of backend developers, fostering a culture of collaboration, innovation, and technical excellence.
• Promote a shared vision for the team, ensuring alignment with business goals and organizational objectives.
• Conduct performance reviews, provide constructive feedback, and create opportunities for team members’ professional growth.
• Drive cross-functional collaboration between development teams, designers, and product managers to deliver seamless and high-quality software.

Technical Strategy and Execution:

• Define and drive architectural decisions for both backend and frontend systems,ensuring scalability, reliability, and performance.
• Advocate and implement best practices in software development, including coding standards, test-driven development (TDD), and peer code reviews.
• Encourage the adoption of Large Language Models (LLMs) and AI-driven tools to optimize development and testing workflows.
• Provide technical direction on backend development using modern frameworks and languages, as well as frontend development using React, Angular, or Svelte.

Process and Quality Management:

• Ensure robust integration between backend APIs and frontend systems for seamless user experiences.
• Establish and enforce coding, testing, and deployment standards for both backend and frontend teams.
• Implement and optimize automated testing frameworks for backend and UI layers to ensure comprehensive coverage.
• Monitor system performance and application stability, proactively identifying and mitigating risks.
• Establish CI/CD pipelines and DevOps best practices for efficient and reliable delivery cycles.

Stakeholder Collaboration:

• Act as a bridge between engineering teams, business stakeholders, and leadership, ensuring effective communication and alignment.
• Translate complex business requirements into actionable technical solutions and guide teams through their implementation.
• Provide regular updates on progress, challenges, and innovations to stakeholders.

Innovation and Exploration:

• Stay updated on advancements in Large Language Models (LLMs) and integrate them into development and quality assurance workflows where applicable.
• Encourage the exploration of cutting-edge technologies, tools, and frameworks for both backend and frontend development.
• Champion the use of AI and machine learning tools for performance optimization, automated testing, and enhanced developer productivity.

Skills & Qualifications:

Must-Have Skills:

• Proven experience as an Engineering Manager or similar leadership role.
• Strong technical background in backend technologies (e.g., Java, Spring Framework).
• Deep understanding of RESTful API design, microservices architecture.
• Hands-on experience with containerization and orchestration tools like Docker.
• Solid knowledge of Agile methodologies, TDD, and CI/CD pipelines.
• Excellent leadership, communication, and problem-solving skills.
• Expertise in integrating Large Language Models (LLMs) and AI-powered tools into development workflows.

Nice-to-Have Skills:

• Experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of automated testing frameworks for both backend (e.g., JUnit, Postman) and frontend (e.g., Playwright).
• Understanding of DevOps practices and infrastructure-as-code tools like Terraform.
• Exposure to AI/ML frameworks and libraries for enhancing application features and team efficiency.

Join our product development team at Planview as a Senior Software Engineer I and become a pivotal force on the Viz Core Team. This role offers the unique opportunity to shape and lead the development of data-processing pipelines and APIs that are at the heart of our software solutions. These solutions are designed to streamline and enhance the efficiency of software delivery, resonating deeply with software engineers who strive to build better and faster.

At Planview Viz, which is powered by the innovative “Flow Framework,” you will tackle complex data challenges and develop scalable solutions within an AWS cloud environment. Your efforts will be crucial in revolutionizing how businesses harness and interpret vast amounts of workflow data, transforming it into actionable insights that propel organizational efficiency and effectiveness.

Responsibilities (What you'll do)

• Create and refine powerful data-processing architectures that integrate seamlessly with a diverse array of external tools, enhancing the way software is delivered across industries.
• Drive operational excellence by critically analyzing problems, defining requirements, and devising robust solutions that push the boundaries of technology.
• Lead and inspire a team of talented engineers, promoting a culture of ownership, meticulous attention to quality, and proactive problem-solving.
• Stay at the cutting edge of technology by updating and expanding your team’s knowledge of cloud architectures, data processing, and advanced analytics, ensuring that you and your team remain leaders in technological innovation.
• Make a direct impact on the efficiency and effectiveness of software delivery worldwide through innovation and leadership.

Qualifications (What you'll bring)

Who We’re Looking For

The ideal candidate is a seasoned professional in cloud software development with a strong foundation in data processing and scalable software systems. You thrive in collaborative environments and are passionate about advancing cloud technology and data architecture to new heights. You are a leader who enjoys mentoring, guiding, and inspiring others.

Preferred Qualifications

Skills, Knowledge, and Expertise

• A degree in Computer Science, Engineering, or a related field.
• 6+ years of experience with a modern programming language, with a focus on back-end systems and cloud-based technologies.
• Strong capability in architecting and designing robust, scalable software systems.
• Proficiency in AWS or another popular cloud platform.

Additional Qualifications

• Experience with big-data technologies such as Spark and Apache Kafka.
• Experience with Java (version 17), Scala, or other JVM programming languages.
• Experience with tools such as Amazon Redshift and MongoDB.
• Experience with continuous integration and continuous deployment tools such as GitHub, Jenkins, Travis CI, or similar platforms.
• Proficiency in test-driven development.
• Experience with containers and orchestration tools such as Kubernetes.
• Experience working on remote or distributed teams and projects.

🚨 Job Opening – Java Developer

Job Title: Java Developer

Openings: 3

Experience: 5+ Years

Location: Hyderabad

Notice Period: Immediate to 15 Days

Mandatory Skills

Java 8+

Spring Boot

Microservices

Any BPM Tool with Java experience

Key Skills / Requirements

Strong hands-on experience in Java 8 and above

Strong experience in Spring Boot and Microservices

Experience with any BPM (Business Process Management) tool along with Java

Strong knowledge of CI/CD pipelines and deployment processes

Exposure to AI tools

Good understanding of application development and deployment practices

Roles & Responsibilities

Design, develop, and maintain applications using Java, Spring Boot, and Microservices.

Work with BPM tools to develop and implement business process solutions.

Develop scalable and maintainable Java-based applications.

Participate in CI/CD pipeline development and deployment activities.

Troubleshoot and resolve application issues.

Collaborate with development, QA, and DevOps teams.

Explore and utilize AI tools to improve development productivity.

Job Description: Senior Java/Python Developer (AI & GenAI Specialist)

Location

Position Summary

We are seeking an experienced Senior Java/Python Developer with strong expertise in enterprise application development and extensive hands-on experience in Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLMs), and AI-powered application development. The ideal candidate will lead the design, development, and deployment of scalable, intelligent solutions that integrate modern AI technologies with enterprise-grade Java and Python ecosystems.

This role requires a combination of strong software engineering skills, AI innovation capabilities, and architectural leadership.

Key Responsibilities

• Application Development

• Design, develop, and maintain scalable enterprise applications using Java and Python.

• Develop RESTful APIs, microservices, and event-driven architectures.

• Build high-performance backend systems using Spring Boot, FastAPI, Flask, or Django.

• Ensure code quality through unit testing, integration testing, and code reviews.

AI & Generative AI Development

• Design and implement AI-powered solutions leveraging Large Language Models (LLMs).

• Develop intelligent applications using OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and similar platforms.

• Build Retrieval Augmented Generation (RAG) architectures for enterprise knowledge systems.

• Implement AI agents, copilots, chatbots, virtual assistants, and workflow automation solutions.

• Engineer prompts and build prompt orchestration frameworks.

• Develop multi-agent AI systems and autonomous AI workflows.

Required Technical Skills

Core Programming

• Expert-level proficiency in:

o Java (Java 11/17/21)

o Python 3.x

• Strong understanding of OOP, design patterns, and software engineering principles.

Java Technologies

• Spring Boot

• Spring Cloud

• Hibernate/JPA

• Microservices Architecture

• Kafka/RabbitMQ

• REST API Development

Python Technologies

• FastAPI

• Flask

• Django

• Pandas

• NumPy

• Async Programming

Generative AI & LLMs

• OpenAI APIs

• Azure OpenAI

• LangChain

• LangGraph

• LlamaIndex

• Semantic Kernel

• Hugging Face

• Prompt Engineering

• RAG Frameworks

• AI Agent Frameworks

• Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus, FAISS)

Preferred Qualifications

• Experience developing enterprise AI copilots and intelligent assistants.

• Experience implementing AI solutions using Microsoft Copilot Studio, Azure AI Services, or similar platforms.

• Knowledge of AI governance, responsible AI, security, and compliance frameworks.

• Experience in travel, finance, telecom, retail, or large enterprise environments.

• Exposure to graph databases and knowledge graphs.

• Understanding of multimodal AI (text, image, audio, video).

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related discipline.

• Generative AI certifications preferred.

Key Competencies

• Solution Architecture

• AI Innovation & Thought Leadership

• Problem Solving

• Stakeholder Management

• Technical Mentoring

• Agile Development

• Analytical Thinking

• Communication & Presentation Skills

Success Metrics

• Delivery of scalable AI-enabled enterprise solutions.

• Reduction in operational effort through AI automation.

• Successful deployment of GenAI applications into production.

• Application performance, reliability, and security.

• Adoption of AI best practices across development teams.

Skills

·      Proven experience as a Technology Lead or Senior Developer with strong hands-on expertise in Java Spring Boot, Tomcat, MySQL, RESTful and SOAP APIs, ORM frameworks, Redis, JavaScript, and AngularJS/ReactJS.

·      Solid understanding of application architecture, security principles, design patterns, and industry best practices.

·      Demonstrated capability to lead and mentor development teams through the design, development, testing, and deployment of web applications using Java Spring Boot and related technologies.

·      Excellent problem-solving and analytical skills, with a strong ability to troubleshoot, diagnose, and resolve technical issues to ensure application stability and performance.

Responsibilities

·      Design and implement high-level and low-level architectures for complex software systems.

·      Collaborate closely with cross-functional teams and Business Analysts to understand business needs and translate them into effective technical solutions.

·      Enforce software development best practices, including code reviews, performance optimizations, and quality assurance standards.

·      Lead and manage a team of developers, providing technical guidance and ensuring timely delivery of high-quality solutions.

Senior Full Stack Engineer (4 to 8 years)

About RunLoyal

RunLoyal is a fast-growing vertical SaaS and payments company headquartered in Atlanta, GA, building the operating system for the pet care industry — boarding, daycare, grooming, training, and dog parks. Our platform runs the daily operations of hundreds of real businesses, and our 2026 focus is scaling the product engine behind an expanding enterprise segment.

We're hiring a Senior Full Stack Engineer to lead our most strategic builds.

The Role

This is not a sprint-pool position. You'll operate the way forward-deployed engineers do — dropped into a problem space and trusted to drive it from ambiguity to shipped. You'll be handed a strategic initiative (a new AI product build, a greenfield module, a flagship platform project), gather context directly from stakeholders and customers, set the technical direction, structure the work, and deliver with teammates — leading from the front.

You'll report to the Head of Engineering and work embedded with the Head of Product on new initiatives, in an independent lane with direct access to leadership. We operate AI-native: our newest product surfaces are being designed and built with agentic AI workflows at the core, and you'll help define how AI-native engineering works here — not just follow a playbook.

Honest framing: we're a fast-moving, founder-driven team in transition toward modern SaaS delivery practice. You'll have real autonomy and real accountability in equal measure. If you need a fully paved road, this isn't your role. If you've shipped meaningful things through ambiguity before — and enjoyed it — read on.

What You'll Own

1. Strategic build projects — end-to-end

Own flagship initiatives from first principles to production: architecture, delivery plan, execution with teammates, release, and post-release iteration. You're accountable for the outcome, not just the code — which means demoing early, cutting scope intelligently, and shipping working software on a rhythm.

2. Technical leadership from the front

Set the technical direction on your projects and bring teammates along through visible working practice — pairing, reviewing, and raising the bar rather than issuing instructions. Mentor by doing. Contribute to system design and architecture decisions across the platform, and push our engineering practices forward.

3. AI-augmented delivery — our default operating mode

Independently architect and deliver full projects using AI-augmented workflows: agentic coding (Claude Code or equivalent), spec-driven development, AI-led test generation, and structured context management. This is how the role works day-to-day, not an accelerator bolted on. You'll co-author our internal AI engineering playbooks and raise the bar for how the whole team builds.

4. Core engineering

Design and ship scalable Spring Boot microservices, RESTful APIs, and responsive frontends in Angular or React. Write efficient SQL, optimize JVM performance, own production issues on your surfaces end-to-end, and leave the codebase better documented than you found it.

Leadership & Agency — what we'll evaluate hardest

• You lead from the front. You've set direction on projects and carried teammates with you — through working code and clear communication, not title or authority
• High agency. You identify what's blocking the outcome and remove it yourself — whether it's code, process, or a conversation someone needs to have
• Strong stakeholder muscle. You communicate clearly upward and outward — written updates, proactive demos, and comfort presenting to leadership and customers directly
• Async-native. You work effectively across time zones with documentation and over-communication as defaults, not afterthoughts
• Calm ownership under ambiguity. Handed a loosely defined problem, you structure it, sequence it, and start shipping

What You Bring

Must have

• Significant professional software development experience with real ownership scar tissue — you've led projects, not just tickets. We care about evidence, not years
• Strong hands-on Java and Spring Boot; solid microservices architecture and REST API design
• Frontend experience with Angular or React
• Experience with relational databases (MySQL/PostgreSQL) and SQL optimization; JVM fundamentals and backend performance
• AI-native engineering (hard requirement). You already deliver work through AI-augmented workflows — agentic coding tools, prompt/context engineering, AI-driven testing — and can demonstrate the most complex thing you've shipped this way
• Product-company experience: you've built for end users with daily stakes, and you think in outcomes
• Strong debugging, analytical, and problem-solving skills; unit testing and code coverage discipline
• Bachelor's degree in Computer Science or equivalent practical experience

Nice to have

• Forward-deployed, consulting, or founding-engineer experience — dropped into a customer or problem space and shipped
• AWS (EC2, ECS), Docker, CI/CD pipelines, Redis or similar caching
• SaaS or multi-tenant systems; Golang exposure
• DevOps and security best practices awareness

What You'll Gain

• Ownership of flagship builds on a live, growing SaaS platform — your projects, your outcomes, visible to the whole company
• Direct working partnership with the Head of Product and Head of Engineering
• A defining role in how AI-native engineering is practiced at a product company that takes it seriously
• Fast growth in a high-velocity startup with a clear product vision

How to Apply

Send the following — applications without all three will not be reviewed:

1. Your project story. One page or less: a project you led end-to-end through significant ambiguity — what you shipped, how you led the team, and what measurably changed. Specifics over adjectives.
2. Your AI workflow. A short description of how AI is embedded in your actual engineering workflow today — tools, techniques, and the most complex thing you've shipped with it.
3. Your resume.