Engineering Manager

Job Title : Tech Lead - MERN Stack

Experience : 5+ Years

Location : Mohali

Job Summary :

We are seeking a dynamic Tech Lead - Full Stack (MERN) to spearhead our web development team. The ideal candidate will lead the design, development, and delivery of robust web applications while mentoring team members and ensuring adherence to industry best practices. This is a hands-on role requiring exceptional leadership, technical expertise, and a commitment to driving excellence.

Key Responsibilities :

• Oversee project execution, ensuring adherence to scope, budget, and timelines.
• Make critical technical and product decisions while collaborating with Product Managers and clients.
• Lead and mentor the development team in coding best practices and modern web technologies.
• Design and develop scalable web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Coordinate cross-functional teams to define project requirements and goals.
• Analyze resource needs, assess project feasibility, and create detailed project plans.
• Represent the team in planning meetings and provide technical guidance to stakeholders.
• Stay updated on industry trends, challenges, and new technologies to enhance team performance.
• Participate in hiring and onboarding new team members.

Required Skills and Qualifications :

• Bachelor’s degree in Computer Science or a related field.
• Proven experience as a Full Stack Developer with expertise in the MERN stack.
• Previous experience in a leadership or technical lead role.
• Strong understanding of the software development lifecycle (SDLC) and Agile methodologies.
• Excellent problem-solving, communication, and interpersonal skills.
• Team handling experience is essential.
• Ability to balance hands-on coding with leadership responsibilities.

Why Join Us?

• Be part of a forward-thinking and collaborative team.
• Work on exciting and innovative projects with the latest technologies.
• Contribute to shaping the technical vision of the company.

Tech Support Engineer

Job Description

Technical Support Engineer plays a crucial role in ensuring the smooth operation of technical systems, providing expert-level support to customers, and contributing to the improvement of products and services through technical expertise and leadership.

To meet the qualifications specified:

1. Educational Background: A degree in a relevant field, such as Computer Science, Information Technology, or a related discipline, is a requirement.

2. Experience: While not explicitly mandatory, experience in fields like Computer Science or IT is considered advantageous. It may provide a practical understanding of the domain that can be beneficial in this role. 3. Personal Traits: Being a natural helper and enjoying assisting people with their computer issues are essential qualities. Additionally, the ability to simplify and effectively communicate technical details to individuals with varying levels of technical knowledge is a significant advantage.

If you possess the educational qualification, experience, and the mentioned traits, it's likely you fit the criteria for this role. Demonstrating your passion for helping people with technical issues and your ability to communicate complex information in an understandable manner during the application.

Roles and Responsibilities

Technical Expertise:

Provide advanced technical support to customers and internal teams. Troubleshoot complex technical issues related to software, hardware, or network systems. Perform root cause analysis for recurring issues and implement permanent resolutions. Collaborate with development teams to escalate and resolve product issues. Maintain up-to-date knowledge of new technologies and industry trends.

Customer Support:

Act as a point of escalation for critical customer issues. Communicate effectively with customers to understand their technical concerns. Manage and prioritize support tickets and customer inquiries. Ensure timely resolution of customer issues according to service level agreements (SLAs). Provide training and guidance to junior support engineers.

Documentation and Reporting:

Document troubleshooting steps and solutions for knowledge base articles. Create and maintain technical documentation, including FAQs and user guides. Generate regular reports on support activities, issue trends, and resolution metrics.

Quality Assurance:

Conduct quality assurance testing for new software releases or patches. Validate bug fixes and ensure they meet customer requirements. Perform regression testing to identify potential issues before deployment.

Communication Skills:

Communicate technical information effectively to both technical and non-technical audiences. Provide regular updates to customers and stakeholders on issue status and resolution. Participate in customer-facing meetings and conference calls as a technical expert. Troubleshooting and Problem-Solving:

Utilize diagnostic tools and resources to analyze technical issues. Develop creative solutions to complex technical problems. Implement temporary workarounds and permanent fixes as necessary.

Compliance and Security:

Ensure compliance with data protection regulations and security best practices. Follow established protocols for handling sensitive customer information.

Required Skill Set:

MS Office, Windows Troubleshooting, ITIL, Basic Networking, Understanding on EDR, DLP Tools, Firewalls, VMware/ Citrix workspace Client setup troubleshooting, Active Directory, Basic Concepts of O365 Exchange admin, Microsoft MDM & Intune, Firewall’s, DLP, EDR, Proxy concepts, Fundamental understanding of ITSM, ITIL, or CMDB.  

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

·      Design, develop, and deploy machine learning models for real-world business problems

·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

·      Implement and manage MLOps pipelines for scalable and reproducible workflows

·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

·      Optimize model performance and ensure production stability

·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

·      4+ years of experience in Data Science / Machine Learning

·      Strong programming skills in Python

·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

·      Solid understanding of MLOps practices and tools

·      Experience with MLflow or similar model lifecycle tools 

·      Practical experience in Generative AI (GenAI), including working with LLMs

·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

·      Strong understanding of data structures, algorithms, and statistics

·      Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

·      Exposure to Docker, Kubernetes, and CI/CD pipelines

·      Knowledge of data engineering workflows 

The tech stack looks like the below (expect this to change as we scale):

1. Typescript for APIs (REST and GraphQL)
2. Kafka, Spark, and data warehouses for ML pipelines (spark on python/scala)
3. Solidity + hardhat for smart contracts (in the future, rust, go and move)
4. AWS & Terraform
5. Full nodes

You can expect to do some or all of the following:

1. Read through protocols’ whitepapers and smart contracts to derive metrics and analyze risks
2. Architect the backend for APIs, async jobs, and blockchain integration
3. Build clean, concise APIs for customer integration, along with the documentation
4. Setup, run and maintain full and archive nodes across different chains
5. Integrate with multiple partners like exchanges and custody providers
6. Fool-proof security across the stack - encryption, hashing, privacy, VPC, etc.
7. Infrastructure as code - build terraform scripts and ensure easy replication of the infra across different regions
8. Research the top DeFi protocols to uncover better insights for our customers and evaluate their risk profiles, security, and historical returns
9. Manage production deployments, logging, and monitoring

We expect you to be fairly comfortable with working with both web3 and web2 stacks. We do not expect that you have web3 experience on day 1, but you should be willing to wear multiple hats, learn things quickly and move fast.

1. Generalist, a solid engineer who can learn things on your own and have an eye for clean, tested, and well-documented code
2. We don’t look at the number of years of work experience as a criterion, but rather see what you have done in your life so far (side projects, open-source contributions, blogs, etc.). We don’t care about degrees, the institutions you went to, or the companies you worked for before. We are open to talking as long as you have good judgment, great clarity, align with our values and have a strong track record of thoughtful work
3. Understand the fundamentals of building and integrating APIs and secure systems. Bonus if you know a bit about blockchains and protocols
4. You can be strong on the backend, front-end, or can dabble everywhere. We want you to play to your strengths and will provide enough opportunities to learn and do things outside of your comfort zone

Pay and benefits We offer a solid, competitive package (including early-stage equity) that is location agnostic. We give you the flexibility to choose the split between cash and equity.

• Perform analysis, design and implementation of assigned projects using sound engineering principles and adhering to business standards, practices, processes, and product / program requirements
• Engage with global teams to effectively translate customer requirements to software requirements and identify potential solutions that are optimized to operate with in constraints of the product
• Troubleshoot variety of complex software problems
• Provide timely status updates and proactive communications on issues to the stakeholders.
• Able to interface with internal and external stake holders regarding software issues.
• Contribute as part of teams put together to meet overall organization initiatives/objectives
• Have the ability and willingness to acquire in-depth understanding of domain and existing products (beyond software) and apply that knowledge to develop new products and to deliver enhancements/ fixes for customer requirements.

• Bachelor of Engineering degree in Computer Science/Information Science/Electronics/Electrical/Instrumentation with appropriate experience in required skills
• C#, WinForms/Wpf
• Source control tools such as ClearCase, Git
• Methodical problem-solving skills and troubleshooting skills
• Good to Have:
• REST/SOAP, Web services, ClickOnce,
• Developing custom controls,
• Image rendering
• hands-on experience using various data structures and multi-threaded programming

About Graphene  

Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best  

Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are developing an AI plaform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.  

Graphene was founded by Corporate leaders from Microsoft and P&G, and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.  

Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.  

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.   

Job title: - Data Analyst 

Job Description  

Data Analyst responsible for storage, data enrichment, data transformation, data gathering based on data requests, testing and maintaining data pipelines. 

Responsibilities and Duties  

• Managing end to end data pipeline from data source to visualization layer 
• Ensure data integrity; Ability to pre-empt data errors 
• Organized managing and storage of data 
• Provide quality assurance of data, working with quality assurance analysts if necessary. 
• Commissioning and decommissioning of data sets. 

• Processing confidential data and information according to guidelines. 
• Helping develop reports and analysis. 
• Troubleshooting the reporting database environment and reports. 
• Managing and designing the reporting environment, including data sources, security, and metadata. 
• Supporting the data warehouse in identifying and revising reporting requirements. 

• Supporting initiatives for data integrity and normalization. 
• Evaluating changes and updates to source production systems. 
• Training end-users on new reports and dashboards. 
• Initiate data gathering based on data requirements 
• Analyse the raw data to check if the requirement is satisfied 

Qualifications and Skills   

• Technologies required: Python, SQL/ No-SQL database(CosmosDB)     
• Experience required 2 – 5 Years. Experience in Data Analysis using Python 

•  Understanding of software development life cycle   

• Plan, coordinate, develop, test and support data pipelines, document, support for reporting dashboards (PowerBI) 
• Automation steps needed to transform and enrich data.   
• Communicate issues, risks, and concerns proactively to management. Document the process thoroughly to allow peers to assist with support as needed.   
• Excellent verbal and written communication skills