AI/ML Engineer

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).    

Software Engineer II to join Planview’s Keyedin team.

Planview is an enterprise software company focused on portfolio and work management, helping organizations plan, prioritize, and deliver work across strategy, teams, and technology. Its product portfolio spans project and portfolio management (PPM), enterprise agile planning, product portfolio management, and work management tools — including offerings like AdaptiveWork, Planview PPM Pro, ProjectPlace, Planview Viz, and Deliver (One2Team), plus its ProjectAdvantage (formerly Sciforma) product for project and resource management. The company serves a wide range of industries, from financial services to technology to government, helping large organizations connect strategy to execution and manage complex portfolios of projects, products, and resources.

About the Role:

You’ll work on a product that combines legacy and modern technologies, contributing across the full stack while helping shape future platform integrations, connectors, and AI-powered capabilities. You’ll also work directly on customer-facing tickets and real-world product challenges, gaining hands-on exposure to the application and its technology stack from day one.

What You’ll Work On

• Customer-facing development and product enhancements
• Platform integrations and connector development
• Cloud technologies and AI-enabled capabilities
• Maintenance and modernization of existing product functionality
• Collaboration on new technologies as the platform evolves

Must-Have Skills

• C#/.NET, MVC, VB.NET, Web API, and Dapper
• Angular, HTML, CSS, and JavaScript/TypeScript
• Unit testing using NUnit, Jasmine, and Karma
• IIS
• SQL Server, including functions, stored procedures, and scheduled jobs
• Experience with AI coding tools such as Claude, GitHub Copilot, or similar

Nice-to-Have Skills

• Integration testing
• Azure DevOps
• Power BI
• Cloud platforms such as Azure or AWS

Growth Opportunity

Over the next 1–2 years, you’ll have the opportunity to progress from handling customer-facing issues to owning complex technical problems and key product areas. You’ll build expertise across legacy and modern technologies, integrations, cloud, and AI, with a path toward leading technical initiatives, contributing to architectural and product decisions, mentoring engineers, and progressing toward a senior or technical leadership role.

Team Culture and Work Style

The Keyedin team is learning-focused, collaborative, and customer-focused. This role follows a hybrid work model with two days per week in the office and no shift work.

If this opportunity aligns with your experience and career goals, please share your updated resume and let me know a convenient time to connect.

Job Details:

• Role: Principal Engineer, Java Angular
• Experience: 11-13 Years
• Employment Type: Full-time
• Work Mode: Remote

Job Description

REQUIREMENTS:

• Total experience: 11+ years.

• Strong hands-on experience in Java and Spring Boot for backend application development.

• Must-have expertise in Angular for building modern, scalable web applications.

• Strong experience in designing and developing RESTful APIs and service-based architectures.

• Hands-on experience with PostgreSQL and relational database design.

• Experience working with API Management/Integration platforms such as Apigee, Kong, or MuleSoft.

• Strong understanding of Object-Oriented Programming (OOP), software design patterns, clean architecture, and separation of concerns.

• Hands-on experience with CI/CD pipelines, containerized development, and cloud-native deployment environments.

• Strong experience implementing automated testing across unit, integration, and end-to-end testing.

• Experience applying secure coding practices, including authentication, authorization, input validation, data protection, and OWASP principles.

• Familiarity with AI-assisted development tools for code generation, refactoring, documentation, and engineering productivity.

• Strong experience working in Agile (Scrum/Kanban) product development environments.

• Experience participating in code reviews, technical design discussions, and architecture reviews.

• Strong debugging, problem-solving, communication, and stakeholder collaboration skills.

• Ability to write clean, maintainable, scalable, and production-quality code following engineering best practices.

RESPONSIBILITIES:

• Design, develop, and maintain scalable backend services using Java Spring Boot.

• Design, develop, and maintain modern frontend applications using Angular.

• Build, enhance, and maintain RESTful APIs, integrations, and business services.

• Develop scalable, secure, and high-performance full-stack applications following clean architecture principles.

• Apply software design patterns, object-oriented principles, and clean coding practices throughout the development lifecycle.

• Contribute to system architecture, technical design, solution decomposition, and implementation decisions.

• Review and improve application architecture, code quality, maintainability, and overall engineering standards.

• Implement secure coding practices, ensuring application security, data protection, and compliance with OWASP guidelines.

• Develop and execute automated tests across unit, integration, and end-to-end testing levels.

• Build and manage CI/CD pipelines while supporting containerized and cloud-native deployments.

• Leverage AI development tools responsibly to accelerate coding, testing, refactoring, documentation, and engineering productivity.

• Perform code reviews, root cause analysis, debugging, and performance optimization to improve system reliability and scalability.

• Collaborate closely with Product Managers, Architects, QA, Platform teams, and other stakeholders in Agile environments.

• Identify technical risks early and recommend effective solutions to ensure high-quality software delivery.

• Drive continuous improvement in engineering practices, development processes, and product quality.

Qualifications

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

Responsibilities

• Understand the business requirements and technical constraints and architect/design/develop.
• Participate in the complete development life cycle.
• Lead and Review the architecture/design/code of self and others.
• Develop enterprise application features/services using Azure cloud services, C# .NET Core, ReactJS etc, implementing AI-DevSecOps principles.
• Act as a hands-on technical leader of a scrum team.
• Own and be accountable for the Quality, Performance, Security and Sustenance of the respective product deliverables.
• Strive for self-excellence along with enabling success of the team/stakeholders.
• Appraise the performance of self, peers and team members.

Requirements:

• 6 to 10 years of experience in developing enterprise software products, with cloud native stack
• Strong knowledge of C# / .NET Core
• Working knowledge of the JS frameworks – React
• Good experience in automating development using combination of AI tools - Claude + CoPilot + MCP
• Strong experience in Micro-Services and/or Micro-Frontend architecture
• Strong experience in container-based development, AKS, Service Fabric etc
• Strong experience in messaging queue systems like RabbitMQ, Kafka
• Experience in Azure Services like Azure Logic Apps, Azure Functions
• Experience in Relational and No-SQL databases like MS SQL Server, PostgreSQL, MongoDB
• Preferable experience in integrating LLMs, vector databases, RAG into production apps.
• Experience in coaching/guiding/leading a scrum team of junior, senior full stack engineers
• Experience in owning/driving end to end development of multiple functional modules/areas (incl testing, performance testing, deployment)
• Experience in cross-functional collaboration with product owners, senior management etc.
• Strong knowledge of Code Quality, Code Monitoring, Performance Engineering, Test Automation Tools
• Knowledge of reporting solutions like PowerBI, Apache SuperSet etc

Role: Fullstack .NET Engineer

Experience: 10-18 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

About the Role 

We are looking for an experienced Fullstack .NET Engineer to join our Pune engineering team. You will design, build, and maintain scalable, cloud-based applications end to end — from robust .NET Core APIs and services to responsive Angular front-ends deployed on AWS. Beyond hands-on delivery, you will help champion the responsible adoption of AI-assisted engineering practices across teams, raising the bar on productivity, quality, testing, documentation, onboarding, and delivery efficiency. 

This role suits a senior engineer who combines deep technical craftsmanship with strong communication and a collaborative mindset, and who is eager to shape how modern, AI-augmented software is built at scale. 

Key Responsibilities 

Design, develop, test, and maintain end-to-end features across the stack using .NET, .NET Core, and modern front-end technologies. 

Build and integrate secure, high-performance RESTful APIs and microservices. 

Develop responsive, maintainable user interfaces using Angular and modern JavaScript/TypeScript. 

Build, Deploy, and operate applications on AWS, leveraging core cloud services for compute, storage, messaging, and observability. 

Adoption of AI-assisted engineering practices across teams to improve productivity, code quality, testing, documentation, onboarding, and overall delivery efficiency. 

Write clean, well-tested, and well-documented code; contribute to automated testing and CI/CD pipelines. 

Collaborate closely with product managers, designers, and fellow engineers to translate requirements into reliable software. 

Participate in code reviews, technical design discussions, and continuous improvement of engineering standards. 

Mentor peers and help onboard new team members, sharing best practices and knowledge. 

Required Skills & Experience 

~10 years of professional software engineering experience in Fullstack development. 

Strong hands-on expertise in .NET and .NET Core with understanding of design patterns 

Proven experience in API development (RESTful services, microservices, integrations). 

Strong experience in Docker and Containerization  

Experience working with code quality tools (Ex.- SonarQube, Veracode),familiarity with secure code writing best practices 

Strong analytical and troubleshooting skills using tools like CloudWatch, Datadog. 

Solid front-end development skills with Angular and JavaScript/TypeScript. 

Practical experience building and deploying applications using AWS services. 

Strong understanding of software design principles, data structures, and testing practices. 

Hands-on experience with AI coding assistants and applying them within team workflows. 

Excellent communication skills — able to collaborate effectively and articulate technical concepts clearly. 

Experience working in Agile/Scrum delivery environments. 

Interest in and openness to adopting AI-assisted engineering tools and practices responsibly. 

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.

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

• 6+ years of experience in software development with strong expertise in Java (8+), JavaScript, HTML, CSS, PL/SQL.
• Hands-on expertise in frameworks and tools: Spring Boot, ReactJS, NodeJS, REST, SOAP.
• Version Control: Proficient in Git.
• Backend & Databases: Experience with Oracle and Postgres DB (Shining Stars).
• CI/CD Tools: Skilled in Jenkins, GitHub, TDD/BDD.
• Testing Tools: Practical experience with ReadyAPI, Postman, Jest, JUnit.
• Cloud Technologies: Exposure to OCI, Azure, AWS.
• AI Tools: Familiar with GitHub Copilot.
• Containerization & Architecture: Proficient in Docker, Kubernetes (K8s), Microservices, Microfrontend.
• Nice to Have: Test automation experience with Selenium, Java Cucumber, and Kafka

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency 1): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging.

9

Mandatory (AI Fluency 2): Must be able to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

10

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

11

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

12

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

13

Preferred (Backend): Hands-on Python experience is a plus.

14

Preferred (Database): Hands-on database / JDBC integration experience in a production environment.

Key Responsibilities

·      Develop and maintain application features using .NET Framework and Angular or assigned tech stack.

·      Write clean, efficient, and well-structured code following engineering best practices.

·      Debug, test, and fix defects with attention to quality and performance.

·      Participate in requirement discussions, sprint ceremonies, and Agile workflows.

·      Collaborate with peers, leads, QA, and cross-functional teams effectively.

·      Document code, APIs, and module-level design details.

·      Use AI-assisted tools (e.g., GitHub Copilot, ChatGPT) responsibly to improve productivity.

·      Continuously learn and apply new technologies, frameworks, and standards.

Required Skills

·      Strong fundamentals in OOP, data structures, algorithms, logical reasoning, and problem solving.

·      Good knowledge of C#/.NET Framework, or another modern backend framework.

·      Basic understanding of relational databases, REST APIs, and version control (Git).

·      Understand database concepts and able to write sql queries with joins

·      Familiarity with Agile concepts (user stories, backlog, sprints).

·      Good communication and team collaboration skills.

·      Quick learner with a growth mindset.

·      Awareness of AI tools and how they support coding, testing, and documentation.

Preferred Skills

·      Knowledge of unit testing (xUnit, JUnit, NUnit).

·      Exposure to CI/CD pipelines and DevOps basics.

·      Basic understanding of cloud platforms (Azure/Cloudflare) is a plus.