Staff Software Engineer - AI at Egnyte · Remote only · 8 - 25 years · ₹10L - ₹70L / yr · Profitable · Remote only · Posted 30 Sep 2026

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

About Egnyte
About
Egnyte provides secure Enterprise File Sharing and Content Governance built from the Cloud down. Access, Share and Control 100% of your data from anywhere using any smartphone, tablet or computer.
Egnyte store billion of files and petabytes of data and we are looking for help to take the platform used by millions of users to the next level of scale. Autonomy and ownership is integral to our culture and engineers own one or more services end to end.
We’re looking for Engineers and they should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.
Connect with the team
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We are looking for a Senior Software Engineer who will be driving architectural direction, multi-team initiatives, and the development of highly scalable distributed systems. You will partner with Product, Architecture, DevOps and cross-functional engineering teams to deliver impactful technology solutions across a complex digital ecosystem. You will independently define and deliver large-scale, multi-phase projects, mentor engineers, and shape technical strategy. The role also includes leveraging LLMs and GenAI-driven tools to enhance engineering productivity, reduce cycle time, and build the next generation of internal developer experience tools.
Technical Leadership • Drive technical strategy and architecture for complex distributed systems and core platform components. • Own end-to-end delivery of high-impact, multi-team engineering initiatives. • Translate ambiguous business requirements into clear, pragmatic technical solutions. Public • Define technical roadmaps, sequence projects into phases, and ensure timely execution across teams.
Software Engineering & System Design • Architect, develop, and optimize microservices using Java, Spring Boot, Spring Cloud. • Design scalable, resilient, secure cloud-native applications using Azure/AWS. • Lead system design reviews, architecture discussions, and technical deep dives. • Solve complex cross-system issues through deep debugging, performance tuning, and root cause analysis. • Build frameworks and shared libraries to accelerate development across squads.
AI & Engineering Productivity • Champion adoption of AI-assisted development practices and LLM/GenAI tools across engineering teams to enhance workflows, improve cycle time, and automate routine tasks. • Define clear guidelines, training, and standards for effective and secure use of AI tools, including prompt engineering, code generation, and review expectations. •
Integrate AI-driven capabilities such as code generation, unit test creation, log analysis, documentation summarization, and code review assistance into the development workflow. • Establish and enforce engineering best practices for AI-generated code, including human-in-the-loop reviews, coding standards, test automation, secure coding, and design-first development. • Measure and optimize engineering productivity using AI-related metrics (cycle time, PR throughput, AI-code adoption, defect escape rate, developer satisfaction) and continuously identify opportunities to reduce bottlenecks with AI.
Collaboration & Cross-Functional Impact • Work closely with Product Owners, Architects, QE, DevOps, and peer engineering teams.
• Communicate technical trade-offs, risks, and decisions clearly to non-technical stakeholders. • Coordinate across teams to resolve dependencies and align on architectural standards.
• Influence technical direction beyond your immediate team. Team Leadership & Mentoring
• Mentor engineers across multiple teams, guiding them in design, coding, debugging, and best practices.
• Participate actively in hiring and talent development.
• Raise the engineering bar through code reviews, design critiques, and technical leadership.
• Help define and uphold engineering best practices, coding standards, and architectural principles. Ownership & Operational Excellence
• Take full ownership of systems from development to deployment, monitoring, and maintenance.
• Ensure engineering deliverables meet performance, reliability, and security criteria.
• Proactively identify areas for improvement and propose scalable, maintainable solutions.
• Lead incident response, post-mortems, and continuous improvement initiatives.
Main Skills
Experience applying LLMs/GenAI to improve engineering productivity and developer workflows.
• Prompt engineering experience and familiarity with integrating models into applications.
• Experience with Domain-Driven Design, event-driven systems, CQRS, or enterprise integration patterns.
• Familiarity with Linux systems and container-based deployment architectures.
• Experience with application servers such as Tomcat.
• Contributions to internal platforms or open-source projects.
• Strong leadership qualities with the ability to influence without authority.
• High levels of self-motivation, ownership, and drive.
• Critical thinking abilities and a strong problem-solving mindset.
• Excellent team collaboration skills and a positive, proactive attitude.
Deep expertise in Java, J2EE, Spring, Spring Boot, Spring Cloud, and building microservices-based architectures.
Hands-on experience with Docker, Kubernetes / OpenShift, and CI/CD pipelines.
• Strong knowledge of working with databases: Oracle, MySQL, MongoDB, Cassandra, etc.
• Experience designing and scaling systems on Azure, AWS, or Google Cloud.
• Excellent problem-solving skills, debugging capabilities, and system-level thinking.
Skill: Java Architect
Location: Pune Baner Office
Note: Client F2F is mandate
Budget:33 LPA
Experience: 10+ Years
Mandate Skills- Cloud+ Java Architect
Who are we looking for?
We are looking for a Technical Architect, having strong software design and development experience of 9+ years on Core Java, Spring Boot, REST API, AWS & Microservices.
Technical Skills:
Proficient in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Hibernate, Ajax, REST API, Microservices etc.
Working knowledge of JVM internals
Working knowledge in Mongo DB
Working knowledge of any database (MySQL or HSQLDB)
Working knowledge of No-SQL database (Mongo or Dynamo DB)
Working experience with messaging (JMS/RabbitMQ)
R & D on new advanced cloud-based technologies in a test-driven agile development.
Experience in designing and architecting systems with high scalability and performance requirements
Ability to design infrastructure for performance evaluation and reporting of cloud-based services, namely AWS
In depth knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc.
Certification on AWS architecture desirable
Roles and Responsibilities:
Participate and contribute in platform requirements/story development.
Contribute to the solutioning, design and design alternatives to the requirements/stories and also participate in design reviews.
Involve in Platform Sprint activities.
Development of assigned stories in appropriate languages defined for each module.
Participate in peer code reviews
Develop use cases and do unit test cases and execute them part of continuous integration pipeline.
Understand stack deployment and resolve issues with components in stacks across the ecommerce platform.
Process Skills:
Agile – Scrum and Test-Driven Development
Qualification:
Bachelor of Engineering (Computer background preferred)
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.
7+ years in software programming experience with the following
AIDLC - Experience building Agentic AI agents and be part of POD that uses AI agents for software development lifecycle.
UI - ANGULAR or REACT worked on any version >2013, JavaScript, HTML, CSS
API and Backend - Java/J2EE, Spring (Core/Boot/Batch), Rest API, Microservices, UI Widgets, NextJS, Test Automation
- SQL and GraphQ Engineer L
- Analytical and debugging capabilities using Splunk Queries, Azure KQL, Grafana, Dynatrace
Knowledge and hands-on experience with:
- Cloud: Azure, OpenShift, AKS
- DevOps: GitHub, GitHub Actions, Artifactory, Docker
Database - mySQL
Agile/Scrum experience
Prior experience in Healthcare industry Utilization management/prior auth or Care management / Optum Clinical Manager experience preferred.
AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes but is not limited to:
Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
Continuous Learning: Stay current with evolving AI capabilities and features and apply them to improve delivery quality and velocity.
Job Title: Tech Architect - Java Spring Boot
Company Name: Chella Software Private Limited
Company Website
Company details
THE PARTNER OF CHOICE FOR FINANCIAL MARKETS
Our deep domain experience, ultra-high-performance software solutions, and on-time project delivery make us the preferred partner for the financial markets.
Over the last two decades, Chella Software has built deep domain experience in the financial markets and a capability for developing ultra-high-performance software that can handle very high volumes of data with the lowest levels of latency.
We are now preferred partners for a host of Central Banks, Stock Exchanges, Clearing Corporations, Brokerages, and Institutional Investors across 12 countries.
We are a global provider of fintech solutions for central banks, exchanges, central counter parties, and financial market intermediaries. We meet the software needs of customers in India, the Middle East, Africa, Singapore, and the USA.
Central Banks:
- Our portfolio of solutions for central banks includes:
- Chella Switch, a national payment and settlement system designed for central banks in frontier markets, and
- Chella Horizen, a robust, reliable and full coverage investment management and accounting platform for reserve management.
Exchanges and CCPs:
We are at the forefront of providing customized solutions for exchanges, CCPs, depositories, and other financial market infrastructure. Our high-speed, low-latency, high-volume, massively scalable systems are spread across the core areas of trading, surveillance, risk management, clearing, settlement, and compliance.
Our teams have deep expertise in:
- Developing and implementing bespoke solutions on a build-operate-maintain model.
- Re-architecting and re-engineering core applications to address performance and scalability challenges.
- Migrating legacy systems to the latest technologies without disrupting operations.
- Defining and building digital experiences and journeys that facilitatethe addition of new investors to the market.
Brokerages:
Our solutions for brokerages include:
- Chella Trader, a multi-asset, multi-exchange, multi-currency, omni-channel order management system, and
- Chella Clearvision is a modular broker back office that helps scale a broker’s business with incremental investments.
Institutional Investors:
We meet the investment management needs of institutional investors through Chella IMS, a full coverage post-trade investment management and IFRS-compliant accounting platform for pension funds, insurance firms, and family offices.
Location: Madurai - Tamil Nadu
Mode of Working: Work Form Office (Interview shall be face to face at Madurai)
Days of Working: 5 Days a week
Responsibilities
Job Description:
- Tech Architect with expertise in Java Spring Boot to design and implement robust, scalable, and high-performance backend systems. As a Tech Architect, you will be responsible for shaping the technical direction of complex software projects and providing architectural guidance to engineering teams.
- This role requires deep technical knowledge, leadership skills, and the ability to collaborate with various stakeholders to ensure the successful delivery of solutions that meet business and technical requirements. Experience in the Fintech domain is an added advantage.
Key Responsibilities:
- Architectural Design & Strategy:
- Lead the architectural design and implementation of scalable, maintainable, and secure backend systems using Java, Spring Boot, and microservices architecture.
- Define best practices for code quality, testing, security, and deployment processes. Drive the adoption of modern development methodologies (Agile, DevOps) and frameworks.
- Technical Leadership:
- Provide mentorship and technical guidance to developers and engineers on coding standards, design patterns, and technologies.
- Ensure the architecture is aligned with business goals and technical constraints. Conduct code reviews and enforce best practices to maintain high-quality standards.
- Collaboration:
- Work closely with Product Managers, Business Analysts, and other stakeholders to gather requirements and translate them into technical solutions.
- Collaborate with cross-functional teams to define system requirements, integrate with third-party services, and ensure the overall system design is cohesive.
- Problem Solving:
- Analyze and resolve complex technical challenges, such as performance bottlenecks, scalability issues, and system integrations.
- Evaluate and implement new technologies, tools, and frameworks to continually improve the development process.
- Documentation & Reporting:
- Document architectural designs, technical specifications, and implementation guides.
- Provide regular updates on project progress, risks, and technical challenges to senior leadership.
- Continuous Improvement:
- Stay up to date with emerging technologies, industry trends, and best practices.
- Recommend improvements to system architecture, processes, and technologies to enhance the software development lifecycle.
Interview process: Virtual and Face-to-Face
Skills:
Experience: 9-12 Years
Location: Madurai
Job Type: Full-time
Education: B.E(Any stream)/ B.Tech / M.E / M.Tech. or similar
Skills: Java, Spring Boot, and microservices architecture.
Why Join Us?
- Opportunity to work on cutting-edge solutions for capital markets.
- This is a global role and, hence, will provide opportunities to work with organizations across the globe.
- Learn from experienced professionals and grow into a solution architect, product manager or sales role.
- Opportunity for rapid personal and professional growth.
ATGS official Email
anita at atgs.co.in

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).
Read This Before Anything Else
We have 6 developers who can ship. What we don't have is someone who turns that into a real engineering function: real architecture, real leverage, real AI-driven advantage. If that gap sounds like an opportunity rather than a headache, you're in the right place. If it sounds like a lot of undefined work with no playbook handed to you, this one probably isn't for you. That's completely okay. There are plenty of great roles that fit differently.
About CraftMyPlate
CraftMyPlate is Hyderabad's go-to platform for food experiences for micro-events: house parties, birthdays, office celebrations, festive gatherings, and more. We're building the operating system for how India discovers, customises, and orders food for smaller events. We're backed by established founders and investors, and we're funded and growing fast. The next phase of that growth runs through engineering.
Where We Stand
Some numbers, because they matter more than adjectives. Order volume has grown 50x in two years, and we're compounding at roughly 3x year over year, without giving up equity to fund it. That means the business runs on its own economics. The growth is real demand, not runway bought with dilution, and every efficient architectural decision this role makes directly protects that.
Most people size up an opportunity by asking what's going to change in ten years. The more useful question, and the one this company is built around, is what won't change. People will keep gathering. They'll keep celebrating, hosting, and marking festivals, in 10 years and in 20. That permanence is the bet. You're not building infrastructure for a trend cycle. You're building for a category that outlasts the current AI wave, the next funding round, and probably us too.
The Technical Reality
Here's an honest read of the engineering problem, not a sanitized version of it.
Event-driven commerce doesn't scale like typical e-commerce. Demand isn't smooth, it's spiky: weekends, festival calendars, and event dates create real load concentration, and each order is tied to a hard deadline that can't slip the way a shipped package can. That has direct architectural consequences: systems need to handle bursty, unpredictable traffic without paying for idle capacity the rest of the time, which is exactly why we're serverless-first on AWS rather than running a fixed fleet sized for peak.
Underneath that, every order touches multiple systems that have to stay consistent: kitchen and vendor fulfillment status, inventory across partners, payment gateway settlement, and refunds, often in real time and often across more than one vendor for a single event. Getting that consistency right across SQL and NoSQL stores, without it becoming a source of support tickets and manual reconciliation, is a real architecture problem, not a CRUD problem.
The AI-agent layer is the next lever, and it's a business lever as much as a technical one. Every workflow we can hand to a well-orchestrated agent instead of a new hire is a workflow that scales without adding headcount, which is exactly how a company grows 3x a year without diluting equity to fund the team behind it. That's why agent orchestration across multiple LLMs, using LangGraph, sits in the "go deep" tier of this role rather than being a nice-to-have.
You'll likely find some of this framing right and some of it worth challenging once you're actually in the codebase. That's expected, and honestly preferred over someone who just nods along.
Why This Role Exists
You'll be the most senior technical person in the company, reporting directly to the founder. Not a manager brought in to run standups. An owner. You set the architecture, you write code yourself, and you make the team materially better. You also own where AI and automation take this company next, starting with our first in-house AI agent product (details shared in the interview), and expanding from there into how the company runs, department by department: HR, finance, marketing, design, development, all sitting on an engineering layer that you design.
If you've outgrown a role where you plan but don't build, or where good ideas die in a committee, this is built to be the opposite of that.
What You'll Own
- Architecture, end to end. Scalable, cost-efficient systems from day one, not "fix it later" engineering. You own the decisions and their long-term consequences.
- Hands-on building. You are still writing code and shipping. This isn't a seat where you review other people's work all day. You lead by building.
- The engineering team. Directly manage, mentor, and level up our 6 developers. Build the technical bar, the review culture, and the calibration that lets the team ship independently.
- The AI-agent roadmap. Own the architecture behind our first AI agent product, then the broader strategy for AI agents and automation across every function in the company, with engineering as the layer underneath all of it.
- Team scaling. Build the next layer of leads under you so execution quality scales without you being the bottleneck.
- Technical accountability. When something breaks, you fix it. You don't escalate and wait.
Our Stack, and the Depth We Expect
Not everything on this list needs the same level of mastery. Some of it you need to own at an architectural level. The rest you need to be strong enough to build yourself, direct the team on, or delegate to AI agents with confidence.
Go deep here. This is where the real architecture decisions live, and where the business impact is highest:
- AWS, serverless first. You should be genuinely well versed in AWS application development, not just "have used AWS." You should be able to design and guide serverless architecture (Lambda, API Gateway, DynamoDB, Step Functions, and similar) as our default way of building, because our demand curve is spiky by nature and fixed infrastructure is money left on the table.
- TypeScript, our primary language across backend and frontend.
- Agent orchestration across multiple LLMs, using LangGraph. This is core to our AI roadmap and our path to scaling operations without scaling headcount. You own how it's architected, not just how it's used.
Working proficiency. Build it yourself, direct the team, or hand it to an AI agent and know if the output is right.
This Is You If
- You've built and shipped real production systems yourself, not just reviewed other people's architecture from a distance.
- You go deep wherever the problem is, and you're comfortable owning the exact stack described above, not just "full-stack" in the abstract.
- You've made engineers around you measurably better, whether or not you've held the title for it yet.
- You're already using AI coding tools and agents seriously, like Claude, Cursor, or similar tools, as part of how you build, not as something you tried once. We'll likely explore this together in the interview.
- You have a bias toward leverage over hours. You'd rather automate or systematize a problem than grind through it. But when something's live and needs to be done right, you see it through completely, with no half-finished work.
- You want to build something for years, not land somewhere comfortable. We'll know the difference from how you talk about your last three years.
This Might Not Be the Right Fit If
- You'd prefer a stable, well-defined role with clear boundaries and someone else making the calls. That's a fair thing to want, just not what this is.
- You'd rather receive direction than bring us architecture and AI strategy yourself.
- You haven't yet gotten hands-on with AI coding tools in your daily work.
- You're drawn more to the title than the work behind it.
If none of that sounds like you, we'd love to hear from you.
Requirements
- 5 to 7 years of experience in software engineering, with real ownership of architecture-level decisions, not just feature delivery.
- Prior experience leading or mentoring engineers, formally or informally.
- Tier-1 or Tier-1+ engineering college strongly preferred (IIT, BITS, top NIT tier, or equivalent). We'll consider other institutions only with clearly commendable, verifiable work: real systems you can walk us through in depth, strong open-source contributions, or a track record that speaks for itself. Pedigree is a proxy for speed, not a checkbox. We test for the underlying ability regardless.
- Comfortable in an early-stage environment: undefined problems, few processes, and the expectation that you help define both.
Compensation
Competitive, with equity. We're formalizing a structured ESOP program alongside this hire. Specific numbers are discussed directly in later interview rounds.
If reading this got you a little excited about what you'd build here, we'd genuinely love to talk. If it didn't quite land, no hard feelings. We just want the right fit for both sides.
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:
- 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.
- 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.
- Your resume.
Position Title : Software Engineer
Position Type: Full-Time
Department: Research & Development
Reports To: First Level Manager,
Company Background:
Affiliated with US Group companies, CGLIA Solutions LLP is an innovative Software Product Development organization developing highly available, highly secure, cloud-based enterprise software products catering to the needs of leading Research Facilities, University Medical Centers, Hospitals, and Pharmaceutical companies across the globe, ultimately contributing to the development of life-saving medications.
CGLIA is committed to helping software professionals unleash their creativity, build world-class enterprise applications, and accelerate their careers in a collaborative and innovation-driven environment.
Job Summary :
As a Software Engineer (Java), you will be responsible for designing, developing, and maintaining scalable, secure, and high-performance cloud-based enterprise applications. You will work closely with Product Management, Business Analysts, QA, DevOps, and cross-functional engineering teams to deliver innovative software solutions that exceed customer expectations.
The ideal candidate should be a self-starter with excellent analytical and problem-solving skills, strong expertise in Java backend technologies, and a passion for developing high-quality software. This role also provides an opportunity to mentor junior engineers, participate in technical discussions, and contribute to architectural decisions.
Key Responsibilities
- Participate in requirement analysis and collaborate with Product Management to understand functional and non-functional requirements.
- Contribute to technical design discussions and prepare technical design documentation.
- Design, develop, test, and maintain scalable backend applications using Java and Spring Boot.
- Develop and maintain RESTful APIs and Microservices.
- Write clean, reusable, maintainable, and well-documented code following industry best practices.
- Optimize application performance, scalability, reliability, and security.
- Perform unit testing, code reviews, debugging, and production issue resolution.
- Collaborate with QA, DevOps, UI, and Product teams throughout the software development lifecycle.
- Mentor junior engineers and actively contribute to knowledge sharing within the team.
- Stay updated with emerging technologies, frameworks, and software development best practices.
- Participate in technical interviews and hiring activities to support organizational growth.
- Undertake additional responsibilities as required to achieve project and organizational objectives.
Qualifications (Education, Experience, Skills & Knowledge)
- Bachelor's degree in Computer Science, Information Technology, or an equivalent discipline.
- 5+ years of hands-on experience in Java application development.
- Strong expertise in Core Java (Java 8/11/17) and Object-Oriented Programming concepts.
- Extensive experience with Spring Boot, Spring MVC, Spring Data JPA, Spring Security, and Hibernate.
- Strong experience designing and developing RESTful APIs and Microservices.
- Experience working with relational databases such as MySQL, PostgreSQL, Oracle, or MS SQL Server.
- Good understanding of Data Structures, Algorithms, Design Patterns, and Multithreading.
- Angular, Bootstrap, Material Design, HTML5, CSS, JavaScript
- Hands-on experience with Git, Maven/Gradle, and Agile/Scrum development methodologies.
- Experience with code quality tools such as SonarQube and static code analysis.
- Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP) is preferred.
- Knowledge of messaging systems such as Kafka or RabbitMQ is an added advantage.
- Strong analytical, troubleshooting, and debugging skills.
- Excellent written, verbal, and interpersonal communication skills.
- Ability to work independently and collaboratively in a fast-paced product development environment.
- Eagerness to learn and adopt new technologies.
🚨 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.





