Engineering Lead - Ahmedabad

Responsibilities

• Schedule & publish content on Instagram, LinkedIn, Facebook, etc.
• Write engaging captions and hashtags
• Engage with the community (comments, DMs)
• Track post performance and report weekly
• Stay on top of trends and competitor activity
• Help in basic Design posts using Canva when needed.

Requirements

• Pursuing/recent degree in Marketing, Media, or related field
• Basic digital marketing knowledge
• Comfortable with Canva
• Active on social media platforms
• Strong written communication
• Bonus: video editing (CapCut) or scheduling tools

What You'll Gain

• Real portfolio work
• Mentorship & certificate
• Potential full-time offer

Job Title: Senior Data Analyst

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Department: MDO

Reporting To: COO

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

mprovement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

● Vlook

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

What You’ll Do:

We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.

Responsibilities:

● Deploy, manage, and monitor infrastructure on Google Cloud Platform (GCP)

● Build CI/CD pipelines using Jenkins and integrate them with Git workflows

● Design and manage Kubernetes clusters and helm-based deployments

● Manage infrastructure as code using Terraform

● Set up logging, monitoring, and alerting (Stackdriver, Prometheus, Grafana)

● Ensure security best practices across cloud resources, networks, and secrets

● Automate repetitive operations and improve system reliability

● Collaborate with developers to troubleshoot and resolve issues in staging/production environments

What We’re Looking For:

Required Skills:

● 1–3 years of hands-on experience in a DevOps or SRE role

● Strong knowledge of GCP services (IAM, GKE, Cloud Run, VPC, Cloud Build, etc.)

● Proficiency in Kubernetes (deployment, scaling, troubleshooting)

● Experience with Terraform for infrastructure provisioning

● CI/CD pipeline setup using Jenkins, GitHub Actions, or similar tools

● Understanding of DevSecOps principles and cloud security practices

● Good command over Linux, shell scripting, and basic networking concepts

Nice to have:

● Experience with Docker, Helm, ArgoCD

● Exposure to other cloud platforms (AWS, Azure)

● Familiarity with incident response and disaster recovery planning

● Knowledge of logging and monitoring tools like ELK, Prometheus, Grafana

Job Description: Dot Net Application Developer

Responsibilities:

• Develop and maintain robust web applications using Microsoft C# (C sharp) and MVC framework.
• Implement object-oriented programming concepts and create DLL libraries.
• Write optimized SQL queries, views, and stored procedures.
• Utilize jQuery, JavaScript, and Ajax for front-end development.
• Collaborate with cross-functional teams for requirements gathering and issue tracking using Azure DevOps and ServiceNow.
• Stay updated with industry trends and technologies.
• Work on Microsoft WinForms/Desktop and web applications.

Qualifications:

• 3-5 years of experience as a Dot Net Application Developer.
• Strong coding proficiency in Microsoft C# and MVC.
• Expertise in jQuery, JavaScript, and Ajax.
• Solid understanding of SQL queries and database management.
• Familiarity with Azure DevOps and ServiceNow.
• Knowledge of Microsoft .NET Core is a plus.
• Understanding of engineering applications like AutoCAD, MicroStation, Revit, and S3D is advantageous.
• Excellent problem-solving and communication skills.
• Immediate joiners preferred.

Location: Mumbai, India (Onsite at Vikhroli)

Salary: 14-15 LPA

To apply, email your resume and work samples to [email protected] Only shortlisted candidates will be contacted.

Note: Immediate joiners are preferred.

Yearly salary range: ₹4L - ₹8L + Bonus

All employees will receive a proportional yearly profit share based on their salary. In total, 10% of WhyDonate’s profits will be paid out to employees.

Job Description

We are looking for a full-time remote Back-end JavaScript Developer with 3+ years of experience.

You will be working on new features and maintenance of the WhyDonate platform. Code quality and scalability are a must. Besides writing new code, you will be fixing bugs and monitoring any new errors that come in. You will be working in a fully remote team of 10+ people.

WhyDonate is a product-based company that has been live since 2013. WhyDonate is a fundraising platform that helps charities and individuals to collect donations online. 

Hiring Process

1. Introduction interview
2. Technical interview
3. Test assessment

Must-haves

• 4+ years of Software development experience
• 3+ years of experience with JavaScript/TypeScript
• Experience with REST API's
• Good English language and communication skills

Nice to have

• Experience with back-end development (Node.js)
• Experience with DevOps and Cloud Hosting (Cloudflare, CI/CD)
• Experience with mobile development (React-Native)
• Worked on multiple publicly released web applications
• Knowledge of Elasticsearch
• Knowledge of Redis
• Knowledge of JavaScript testing frameworks

Responsibilities

• Feature development
• Monitoring and fixing bugs
• Uptime, performance and security
• Architecture
• Code quality

Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience

About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.

The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles

Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT,  RoBERTa, XLNet 
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus


Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus

Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.

• Overall Experience: 4-5 years.
• Relevant Experience: 2-3 years.
• Must have knowledge of web technologies: HTML5 CSS, JavaScript, React Native.
• Strong JavaScript fundamentals and ES6 knowledge, React Native / NodeJS, MVC, Design Patterns, REST APIs, Swagger, and AWSFamiliarity with state/data management libraries (Redux).
• Minimum 2 years relevant and real-time experience in React Native.
• Familiarity with code versioning tools such as Git, BitBucket Technology agnostic and confidence to switch technology stacks as per requirement.
• Understanding of programming in general, code optimization, and best practices for software development.
• Understanding of Continuous Integration, and deployment.
• Knowledge of general mobile landscape, architectures, trends, and emerging technologies.
• Experience in automated testing suites, like Jest/ Mocha/ Express, is a plus.
• Experience with Agile Development methodology.
• Familiar with App distribution Process for both iOS and Android.
• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Role 2-3 years of experience required.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Proficient in rendering components with Native APIs.
• Proficient in TypeScript, JavaScript, modern JavaScript, HTML.
• Proficient in one or more libraries (e. g. Redux, React Router, etc) for state managing and routing in addition to React.
• Proficient in using Git as a control system.