Talent Acquisition

About Us

We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.

What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.

Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.

About the Role

We are looking for a QA Engineer who specializes in testing agentic AI platforms. You will design and automate quality processes for systems that involve LLMs, autonomous agents, tool use and orchestration across Lumen and Agent Studio — ensuring that AI-driven workflows behave reliably, safely and predictably in production, not just in a demo.

What You’ll Do

• Design and build automated test suites and evaluation frameworks for agentic AI workflows, including multi-step and tool-calling behaviors.
• Use AI/LLM-based QA tools and evaluation frameworks to test model outputs, agent decisions and end-to-end task completion at scale.
• Define quality metrics and benchmarks for agent reliability, correctness, latency and safety, and track them over releases.
• Identify edge cases, failure modes and regressions specific to non-deterministic AI systems, and build automated checks to catch them early.
• Integrate automated agent/LLM testing into CI/CD pipelines to support fast, reliable iteration.
• Partner closely with AI/ML and backend engineers to reproduce issues, root-cause failures and validate fixes.
• Work with customers and customer-facing teams to understand real-world usage patterns and translate them into test scenarios.

What We’re Looking For

• 2–4 years of QA/test automation experience, including hands-on work testing agentic AI or LLM-based platforms.
• Practical experience using AI-focused QA/evaluation tools to test agent behavior, prompts and model outputs.
• Strong scripting/automation skills (Python preferred) to build and maintain test frameworks.
• Understanding of how LLM-based agents work — tool calling, orchestration, memory, reasoning chains — well enough to design meaningful test cases.
• Comfort working with non-deterministic systems and designing evaluation approaches beyond traditional pass/fail testing.
• Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.

Good to Have

• Experience testing voice AI or real-time conversational systems.
• Familiarity with CRM or enterprise SaaS platforms.
• Exposure to enterprise security or compliance testing for AI systems.

Job Summary

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities

1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.

2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.

3. Design and develop etl processes, data models, and data integration solutions.

4. Provide technical guidance and mentorship to the team members.

5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.

6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.

7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.

2. Strong experience with sql and oracle pl/sql for data querying and manipulation.

3. Advanced programming skills in python for scripting and data processing tasks.

4. Knowledge of data modeling, data warehousing concepts, and database design principles.

5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.

6. Strong analytical and problem-solving skills with attention to detail.

7. Experience in data visualization tools and techniques is a plus.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Skill (Primary)

Data Fabric-Azure-Azure Data Factory (ADF)

Solutions Architect - Data Engineering

Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.

If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.

You're not a sales lead. You're the transformation driver.

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.

Your Responsibilities

what you will wake up to solve.

You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

• Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.

Functional Skills:

• Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
• Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
• Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
• Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
• AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
• Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
• Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
• AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.

Don’t Just Send a Resume. Send a Statement.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

SDET-1 | Quality Engineering (AI-Native)

📍 Noida | 🕐 Full-Time | 🧭 Experience: 2+ Years

The Mission: Beyond "Automation"

At TestMu AI, we aren’t just fixing bugs; we are deprecating the old manual-heavy testing world. We are building Agentic Intelligence—end-to-end AI agents that autonomously plan, author, and self-heal tests.

As an SDET-1, you aren't a "script maintainer." You are an AI-first Quality Architect. You will be responsible for bridging the gap between legacy automation and the future of autonomous agentic workflows. If you want to move from "writing code that tests" to "building AI that tests," this is your seat.

The Pillars of Impact

🚀 1. Agentic Framework Engineering (50%)

• Architectural Excellence: Build and scale deep-level frameworks (Playwright, Selenium, Appium) designed specifically for AI-driven execution.
• AI Augmentation: Integrate LLMs and Agentic tools into the SDLC to automate test generation and reduce human intervention by >50%.
• Performance Coding: Leverage strong DSA foundations to write highly optimized, non-blocking test code that scales with our platform.

⚙️ 2. Autonomous CI/CD & Reliability (30%)

• Pipeline Orchestration: Design seamless "no-touch" integration into CI/CD (GitHub Actions / Jenkins) where tests trigger and analyze results autonomously.
• Root Cause Mastery: Use deep-dive debugging to eliminate flakiness, ensuring our AI agents operate in a stable environment.
• Full-Stack Ownership: Move beyond checklists; you own the E2E quality of your ticket/module from creation to deployed.

🧠 3. Tech Depth & Tooling (20%)

• Polyglot Mastery: Solve complex technical challenges across Java, Python, or TypeScript.
• Cloud Infrastructure: Validate data flows across AWS/GCP, Dockerized containers, and complex DB architectures.

The Interview Loop: Screening for the Top 1%

We look for problem solvers who thrive under pressure and think in systems, not just scripts.

• Technical Round I (SDET Leads): Focus on Core DSA, live coding, and the "why" behind your framework architecture decisions.
• Technical Round II (Hiring Manager): AI Hands-on Assessment—how you use agents today to eliminate toil and speed up your workflow.
• Technical Round III (VP Engineering): Solving for Scale. We’ll discuss debugging at scale and communicating technical risks to stakeholders.
• Final Round (CEO): Vision Alignment—readiness to lead the era of Agentic Intelligence.

Mandatory "Non-Negotiables"

• AI-Native Workflow: You don't just "know" AI; you use it daily (Copilots, Agents, LLM-wrappers) to be 2x more productive.
• Engineering Depth: You must be able to explain the design patterns behind your frameworks. Note: Candidates with only manual or basic "record-and-play" experience will not be shortlisted.
• Extreme Ownership: You take pride in shipping zero-defect features and don't wait for instructions to fix a broken pipeline.

Your Growth Trajectory

TestMu AI is a high-velocity environment where you will receive direct mentorship from Senior Leadership. Your path to Senior SDET or Quality Architect is performance-based, not tenure-based. We promote based on the complexity you can solve, not the years on your resume.

Perks of the Future

• Health & Wellness: Comprehensive insurance for you and your family.
• Fuel for Innovation: Daily catered gourmet meals at our Noida HQ.
• Seamless Transit: Safe, reliable cab facilities for eligible shifts.
• Pod Culture: Dedicated budgets for offsites, team building, and continuous learning.

We are seeking a highly skilled Senior WordPress / PHP Developer with 6–8 years of experience in creating scalable, secure, and high quality web applications. The candidate will be responsible for developing and maintaining PHP/Laravel applications, customizing WordPress plugins and themes, building -APIs and executing database migrations.

Required Skills:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Excellent written and verbal communication skills.
• 6–8 years of handson- experience in PHP and Laravel development
• Strong expertise in WordPress development, including custom themes, custom plugins, hooks, filters, shortcodes, and Gutenberg blocks
• Solid understanding of MVC architecture, middleware, queues, jobs, and events
• Experience in building and integrating RESTful APIs
• Strong knowledge of HTML5, CSS3, JavaScript, jQuery
• Experience with database systems: MySQL/MariaDB, SQL Server
• Skilled in writing optimized SQL queries, stored procedures, triggers, and performing database migrations
•  Experience with authentication methods like OAuth, JWT, and tokenbased- auth
•  Good understanding of application performance optimization, caching, and security practices
• Familiarity with version control systems (Git)
• Experience in integrating external systems (e.g., Miniorange, Salesforce)

Preferred Skills:

• Experience working with Salesforce, or any other comparable ticketing system
• Experience in insurance/consumer benefits/file processing (EDI).

Job Title Oracle EPM Functional Consultant

 Location Remote

Experience 7+ yrs

 Job Description  

Key Responsibilities

• Lead functional design and implementation of Oracle EPM Cloud solutions supporting Fleet Procurement and Fleet Accounting processes

• Configure and support FCCS and EPBCS to enable fleet financial consolidation, planning, forecasting, and management reporting.

• Partner with Fleet Accounting, Finance, and FP&A teams to define future-state planning and consolidation models aligned with Oracle Fusion Financials.

• Design and implement integration flows between Oracle Fusion ERP (GL, FAH, AP, AR) and Oracle EPM Cloud using standard adapters, data management, and integration tools.

• Define metadata structures including dimensions, hierarchies, account mappings, cost centers, intercompany, and fleet-specific reporting attribute

• Support design of fleet cost allocation models, capitalization tracking, depreciation analysis, and financial performance reporting in EPM.

• Lead data validation, reconciliation, and variance analysis between Oracle Fusion ERP and Oracle EPM Cloud.

• Collaborate with Data Migration and Technical teams to support initial loads, incremental data refreshes, and reconciliation processes.

• Support SIT, UAT, and parallel close activities to validate EPM outputs against ERP financial results.

• Develop and validate EPM reports, dashboards, Smart View templates, and management reporting artifacts.

• Support planning cycles including budget, forecast, and scenario modeling related to fleet procurement, utilization, and lifecycle costs.

• Provide functional guidance during cutover, deployment, and post-go-live hypercare for EPM components.

• Work closely with PMO, Solution Architects, and business stakeholders to ensure alignment between EPM design and overall program objectives.

Required Qualifications

• Bachelor’s degree in Finance, Accounting, Business, Information Systems, or related field.

• 15+ years of overall experience in financial systems with 7+ years of hands-on Oracle EPM Cloud experience.

• Strong functional expertise in FCCS and EPBCS, including consolidation, planning, forecasting, and financial reporting.

• Solid understanding of Oracle Fusion Financials including GL, FAH, AP, AR, and how ERP data feeds EPM.

Experience designing EPM solutions for large-scale ERP transformation programs with multi-region deployments.

• Strong knowledge of financial close, consolidation, intercompany eliminations, and management reporting.

• Experience integrating Oracle EPM Cloud with Oracle Fusion ERP using standard integration frameworks.

• Hands-on experience with Smart View, EPM reporting, and data reconciliation techniques.

• Strong analytical skills with ability to translate fleet-related financial data into actionable insights.

• Excellent communication, documentation, and stakeholder engagement skills.

• Preferred certifications:

Oracle Financial Consolidation and Close Cloud (FCCS) Implementation Certification, Oracle Enterprise Planning and Budgeting Cloud (EPBCS)

Implementation Certification, Oracle EPM Cloud Data Management Certification

About Company:

ZyBiSys is a leading IT services & cloud hosting company specialized in delivering innovative technology solutions to top FinTech customers across the globe. We leverage a comprehensive range of Public cloud platforms, including AWS, Azure, Google Cloud, and our proprietary private clouds powered by VMware and OpenStack. Our expertise in cloud computing, combined with our deep understanding of the FinTech sector, enables us to offer tailored solutions that drive efficiency, scalability, and security for our clients.

At ZyBiSys, we are committed to empowering businesses with cutting-edge technology and unparalleled service. Our team of skilled professionals is dedicated to helping clients navigate the complexities of the digital landscape, ensuring they achieve their strategic objectives and maintain a competitive edge. Join us and experience the future of Cloud Technology with ZyBiSys.

Job Description:

We are seeking a skilled and motivated Openstack Administrator to join our team. The ideal candidate should have a strong hands on experience in Openstack solution design, deployment, and administration. You will be responsible for implementing and optimizing Zybisys private cloud as per the business requirements across all our datacenters.

Technical Skills :

• Active OpenStack contributors to the open-source communities will be highly recommended.
• Proven experience in designing and implementing production-ready multi-region OpenStack cloud infrastructure, ensuring high availability, scalability, and reliability across multiple datacenters.
• Strong experience in Kubernetes base Openstack Deploy, Configure, and Management of OpenStack Keystone, Nova, Neutron, Cinder, Glance and other services.
• Hands-on experience in deploy production-ready CEPH storage clusters and provision for Block Storage, File Storage and Object Storage.
• Good working experience in Ansible, and Terraform tools to automate regular tasks and eliminate human dependency.
• Extensive experience in setting up and managing performance monitoring systems for OpenStack & CEPH environments using tools such as Nagios, Prometheus, Zabbix, and OpenTelemetry.
• Perform regular upgrades and patch management for OpenStack platform to ensure stability and reliability.
• Good understanding of implementing security measures and best practices to protect customer infrastructure and workloads.
• Hands-on experience in handling production troubleshooting, incident management and customer escalations.

Knowledge :

• Good knowledge in IPv4, IPv6, VLAN, VXLAN, Bridging, routing, IP Tables, DNS, DHCP.
• Good understanding of Openstack load balancer, OpenvSwitch, NFV, SDN, VPN, GRE and Edge networks.
• Understanding of DevOps practices and knowledge in using tools like Jenkins, Git, and Bitbucket for CI/CD deployment.
• Any of the programming skills such as Python, GO, Ruby, and RestAPI are added advantage for the role.

Interpersonal Skills :

• Excellent verbal and written communication skills for collaborating with cross-functional teams and documenting solutions.
• Strong analytical and problem-solving abilities to diagnose and troubleshoot issues effectively.
• Commitment to staying updated with the latest developments in relevant areas such as Openstack, Ceph and industry trends.

Education & Experience:

• Bachelors degree in Computer Science, or any other related field.

Key Responsibilities

• Design and implement scalable, maintainable, and efficient Python applications
• Lead technical projects from conception to deployment
• Collaborate with cross-functional teams to define and implement new features
• Write clean, testable code with appropriate documentation
• Conduct code reviews and provide constructive feedback to team members
• Mentor junior developers and contribute to their professional growth
• Participate in technical architecture discussions and decision-making
• Troubleshoot and debug complex software issues
• Contribute to continuous improvement of development practices and processes
• Design and implement AI/ML solutions using LLMs and related technologies
• Optimize and maintain AI model deployment pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5+ years of professional software development experience
• Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
• Experience with SQL and NoSQL databases
• Solid understanding of software design patterns and principles
• Experience with version control systems (Git)
• Strong knowledge of RESTful APIs and microservices architecture
• Proficiency in writing unit tests and understanding of TDD practices
• Experience with CI/CD pipelines and deployment automation
• Strong problem-solving and analytical skills

AI/ML Technical Skills

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of working with large language models (GPT, Claude, etc.)
• Understanding of prompt engineering and LLM fine-tuning concepts
• Experience with vector databases (Pinecone, Weaviate, or similar)
• Familiarity with AI model deployment and serving (BentoML, Ray Serve)
• Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
• Knowledge of AI/ML observability and monitoring tools
• Understanding of AI safety practices and responsible AI development
• Experience with embedding models and semantic search implementations
• Familiarity with AI application development patterns and best practices

We are seeking a highly skilled and experienced MERN (MongoDB, Express.js, React, Node.js) Stack Developer to join our dynamic development team. As a MERN Stack Developer, you will be responsible for designing, developing, and maintaining scalable web applications using the MERN stack framework.

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Expertise in backend programming with Node.js and MongoDB.
• Experience with React.js and redux.
• Material UI and 3rd party libraries.
• Experience with clean code writing practices like avoiding callback hell like promises, async.
• Thorough understanding of Node.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e.g., Immutable.js).
• Familiarity with RESTful APIs.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end builds pipelines and tools.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial).

Responsibilities:

• Build Node.js APIs using microservices.
• Rewriting backend code with microservices architecture & Unit tests.
• Developing new user-facing features using React.js.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• 
  

If you are a passionate MERN Stack Developer looking for an exciting opportunity to work on challenging projects and be part of a talented team, we would love to hear from you. Please submit your application, including your resume and portfolio, highlighting your relevant experience and projects.