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Tech Lead (Reactjs)
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Indore CITP, Pune – Baner, Pune – Viman Nagar, Chennai, Remote

Briefcase

Digital Transformation

Monitor

12+ years

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Role:

Tech Lead (Reactjs)

Location:

Indore CITP, Pune – Baner, Pune – Viman Nagar, Chennai, Remote

Experience:

12+ years

Key Skills:

JavaScript & TypeScript, Redux, React

What will your role look like

We are looking for a Technical Lead with subject matter expertise in Frontend Technologies (React.js).

Gather and refine specifications and requirements based on technical needs and contribute to documentation of the same in Stories.

Develop and implement highly responsive UI components using React concepts and front-end architecture to support user interface requirements.

Demonstrate strong knowledge of TypeScript, Flow or PropTypes, and modern authorization mechanisms such as JSON Web Token (JWT).

Ensure proper unit testing using utilities like Enzyme and frameworks such as Jest and React Testing Library.

Ensure proper integration testing using frameworks like Karma.

Provide support for business simulation, user acceptance testing, and other relevant activities.

Perform standard documentation as per the Story requirements.

Exhibit a consultative approach with strong team management, stakeholder management, and client communication skills.


Why you will love this role

Competitive compensation and an open workspace with smart, pragmatic team members.

Continuous opportunities for professional and personal growth.

A strong learning culture that encourages teamwork, collaboration, and diversity.

A workplace that values excellence, compassion, openness, and ownership.


We would like you to bring along

Hands-on knowledge of Agile and SAFe Methodologies.

A passion to stay plugged into emerging technologies and industry trends, and the ability to apply them effectively in projects and operations.


Good-to-have skills

Experience working on performance optimization and scalable front-end architectures.

Exposure to cloud-based environments or CI/CD pipelines for front-end applications.

Familiarity with backend integration and RESTful APIs.

Associate People
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Indore CITP

Briefcase

Organizational Functions

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3+ years

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Role:

Associate People

Location:

Indore CITP

Experience:

3+ years

Key Skills:

Human Resource Development, Human resources operations, HR Operations, Microsoft Excel/Spreadsheets

What will your role look like
Handle attendance management and ensure accurate tracking of team member hours.
Manage and maintain HR operations databases and employee records.
Resolve tickets and address queries raised by team members effectively.
Ensure adherence to statutory compliances such as PF, ESIC, Gratuity, and Bonus.
Organize and manage team member documents, ensuring confidentiality and compliance.

Why you will love this role
Opportunity to contribute to efficient HR operations in a collaborative environment.
Exposure to diverse HR functions and data-driven decision-making.
Be part of a supportive culture that values precision, ownership, and continuous improvement.

We would like you to bring along
3 to 4 years of experience in HR operations or a related field.
Excellent communication skills, both written and verbal.
Advanced proficiency in Excel with the ability to analyze data and generate reports.

Good-to-have skills
Knowledge of Power BI or similar data visualization tools.
Strong attention to detail and comfort working with large datasets.
Proactive, self-motivated approach with the ability to work well in a team setting.
Soultion Architect- Fullstack
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Indore CITP, Pune – Baner, Pune – Viman Nagar, Chennai, Remote

Briefcase

Digital Transformation

Monitor

14+ years

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Role:

Soultion Architect- Fullstack

Location:

Indore CITP, Pune – Baner, Pune – Viman Nagar, Chennai, Remote

Experience:

14+ years

Key Skills:

cloud, AWS, Angular/React, Angular, Solution Architecture & Technical Design, Back End : Java, Python, Node.JS, Spring Boot, Kafka, Zookeeper, CI/CD – Docker

What will your role look like
As a Solution Architect, you will play a strategic role in defining the technology vision, designing scalable architectures, and ensuring consistency across enterprise-grade applications. You’ll lead end-to-end solution design using Java (Spring Boot) and Node.js, guide frontend integrations with React or Angular, and enable cloud-agnostic deployments across AWS, Azure, and GCP.
Your role will also involve leveraging AI-assisted development tools and low-code/no-code platforms to improve productivity and accelerate delivery.

Why you will love this role
You’ll work on cutting-edge, cloud-native architectures and next-gen technologies.
Opportunity to drive AI-assisted engineering practices across development teams.
Collaborate closely with cross-functional teams to deliver scalable, resilient, and future-ready systems.
Be part of a forward-thinking organization that encourages innovation, automation, and continuous learning.

We would like you to bring along
14+ years of experience in designing and delivering scalable enterprise applications.
Strong hands-on expertise in Java (Spring Boot) and Node.js (Express/NestJS).
Architectural understanding of Angular or React for frontend integration.
Proven experience in microservices, event-driven architecture, and cloud-native design.
Solid knowledge of AWS (Lambda, ECS/EKS, S3, RDS, IAM, etc.) with working-level exposure to Azure or GCP.
Familiarity with DevOps practices — CI/CD, Docker, and Kubernetes.
Experience with workflow automation using n8n, Camunda, or similar tools.
Practical experience using AI-assisted development tools (e.g., GitHub Copilot, AWS CodeWhisperer).
Proficiency in PostgreSQL and Oracle databases with a focus on performance and data integrity.
Ability to define and enforce architecture principles, design patterns, and governance frameworks.

Good-to-have skills
Exposure to AI/ML pipelines, forecasting, or predictive systems using AWS SageMaker, Forecast, or Comprehend.
Knowledge of low-code/no-code platforms like Appsmith or Mendix.
Experience in the utility or energy domain.
Understanding of enterprise security, observability, and governance frameworks.
Familiarity with Domain-Driven Design (DDD), 12-Factor App principles, and API-first architecture.
MLOps Engineer
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Remote, Indore CITP, Pune – Baner, Pune – Viman Nagar

Briefcase

Digital Transformation

Monitor

3+ years

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Role:

MLOps Engineer

Location:

Remote, Indore CITP, Pune – Baner, Pune – Viman Nagar

Experience:

3+ years

Key Skills:

Orchestration tool: Kubernetes, Terraform (IaC), Devops, Azure ML, SQL (basic), TensorFlow, GitHub/Jenkins, MLflow, Langsmith, MLOps/LLMOps, Weights & Biases, AWS Sagemaker, Languages: Python, PyTorch

What will your role look like
As an MLOps Engineer, you will play a key role in deploying, monitoring, and maintaining machine learning models in production environments. You’ll be responsible for designing scalable ML pipelines, optimizing performance, and ensuring model reproducibility using modern MLOps tools and frameworks.
You will also drive DevOps-related activities—deploying product updates, identifying production issues, implementing integrations, and managing CI/CD pipelines. Working closely with developers, data scientists, and IT teams, you’ll ensure smooth code releases, reliable infrastructure, and top-tier system performance.

Why you will love this role
You’ll work at the intersection of Machine Learning and DevOps, bridging model development with real-world deployment.
You’ll be part of a customer-focused team that values innovation, automation, and reliability.
You’ll get to experiment with cutting-edge tools like Kubeflow, Airflow, MLflow, TensorFlow Serving, and Prometheus.
You’ll directly contribute to improving customer experience by ensuring high-performance and resilient systems.
You’ll collaborate with passionate engineers and data scientists who love solving complex problems and building scalable solutions.

We would like you to bring along
Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience of 3–5 years in MLOps, DevOps, or software development (with focus on automation and scalability).
Strong understanding of containerization (Docker, Kubernetes)
Experience with CI/CD tools – Jenkins, GitLab CI, Ansible, Chef, Puppet, Terraform
Expertise in cloud platforms – AWS, Azure, or GCP
Familiarity with ML pipeline tools – Kubeflow, Airflow, MLflow, Feast
Knowledge of monitoring and logging tools – Prometheus, Grafana, ELK Stack
Proficiency in scripting languages – Python, Bash, or Ruby
Excellent problem-solving and analytical thinking
Strong collaboration and communication abilities
Ability to manage multiple projects and priorities effectively
Detail-oriented with a proactive approach to automation and reliability
Design and deploy scalable ML pipelines using Kubeflow and Airflow.
Implement DevOps practices to streamline the software development lifecycle.
Deploy and monitor ML models using TensorFlow Serving, Prometheus, and Grafana.
Integrate and manage model versioning and experiment tracking with MLflow.
Collaborate with data scientists to optimize feature engineering workflows (Feast).
Develop and maintain reliable CI/CD pipelines for code and model deployment.
Implement infrastructure monitoring, logging, and backup solutions.
Perform root cause analysis and troubleshooting for production issues.
Ensure security, scalability, and performance of deployed systems.
Stay updated on emerging MLOps and DevOps tools and trends.

Good-to-have skills
Experience with experiment tracking tools (Weights & Biases, MLflow)
Exposure to Infrastructure as Code (IaC) tools like AWS CloudFormation or Ansible
Understanding of blue-green and canary deployments
Familiarity with Agile and DevOps methodologies
Working knowledge of Node.js or JavaScript for automation or backend integrations
Passion for building reliable, scalable, and efficient systems
Python Automation Engineer
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Remote

Briefcase

Digital Transformation

Monitor

5+ years

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Role:

Python Automation Engineer

Location:

Remote

Experience:

5+ years

Key Skills:

Core Python, Storage, Automation, Storage (SAN/NAS)

What will your role look like
Design, implement, and maintain end-to-end automated tests (functional, upgrade, HA, negative, longevity) using Python and Pytest.
Develop modular, reusable, and resilient test automation code to ensure system stability.
Create verification plans, test strategies, and triage playbooks; identify coverage gaps and improve automation reliability.
Automate testing across multiple storage platforms — Object Storage, NAS, SAN, and File Systems.
Test and debug REST APIs, backend services, and cloud workflows integrated with CI/CD pipelines (Jenkins).
Analyze system logs, perform failure injection testing, and collaborate with development teams to drive defect resolution.

Why you will love this role
You’ll work at the intersection of automation and large-scale storage technology, solving complex infrastructure challenges.
Opportunity to design frameworks that directly improve product reliability and deployment efficiency.
Collaborate with top-tier engineers in an innovation-driven, agile environment.
Freedom to experiment with automation design patterns and scalability solutions.

We would like you to bring along
Strong hands-on experience in Python automation with deep understanding of algorithms, data structures, and OS fundamentals (Linux/Windows).
Expertise in Pytest, Jenkins CI, and Git-based workflows (fixtures, parametrization, parallelization).
Proven experience in testing distributed systems or storage/networking platforms (e.g., iSCSI/NVMe-TCP, NFS/SMB, S3).
Solid understanding of REST APIs and backend validation.
Excellent debugging and triage skills across product, environment, and automation layers.

Good-to-have skills
Exposure to cloud platforms (AWS, Azure, or GCP).
Experience with containerized environments (Docker/Kubernetes).
Knowledge of performance or scalability testing tools.
Familiarity with infrastructure-as-code and DevOps pipelines.
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