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We are looking for a Senior Full Stack Developer to design, develop, and maintain scalable, secure, and high-performance web applications. The ideal candidate will have strong expertise in Python backend development, modern frontend frameworks, database design, API development, and cloud technologies, along with a solid understanding of Data Structures and Algorithms (DSA), multithreading, multiprocessing, asynchronous programming, and system architecture.
The candidate should have hands-on experience building production-grade applications, optimizing performance, developing reliable integrations, and deploying applications using modern development practices.

Key Responsibilities:

• Design, develop, test, and maintain scalable full-stack applications using Python and modern frontend frameworks.
• Build secure, reusable, and high-performance backend services using Django, Django REST Framework (DRF), FastAPI, or Flask.
• Develop responsive and maintainable frontend applications using React.js or Angular, JavaScript/TypeScript, HTML5, and CSS3.
• Design, implement, document, and integrate RESTful APIs and third-party services.
• Apply advanced Python concepts, including OOP, decorators, generators, iterators, context managers, exception handling, and memory management.
• Implement multithreading, multiprocessing, and asynchronous programming using asyncio to improve application performance and concurrency.
• Apply appropriate Data Structures and Algorithms (DSA), analyze time and space complexity, and develop efficient solutions to complex technical problems.
• Design and optimize database schemas, SQL queries, indexes, transactions, and relationships for relational and NoSQL databases.
• Implement authentication, authorization, role-based access control (RBAC), and secure API access.
• Develop and maintain API documentation using Swagger UI and OpenAPI specifications.
• Containerize applications using Docker and Docker Compose, and support application deployment through CI/CD pipelines.
• Apply software design patterns, SOLID principles, and system design best practices to build maintainable and scalable solutions.
• Write unit tests and integration tests, conduct code reviews, and troubleshoot complex development and production issues.
• Identify performance bottlenecks and optimize application response times, memory usage, database operations, and resource utilization.
• Participate in technical discussions, sprint planning, effort estimation, architecture decisions, and mentoring junior developers.
• AWS: Good to have knowledge of cloud services such as EC2, S3, Lambda, RDS, DynamoDB, IAM, CloudWatch, and API Gateway.
• Microsoft Azure: Good to have knowledge of cloud services such as Azure App Service, Azure Functions, Blob Storage, Azure SQL Database, Azure Monitor, and Microsoft Entra ID.

Qualifications:

• Bachelor’s or master’s degree in computer science, Information Technology, or a related discipline—or equivalent practical experience.
• 5–6 years of professional experience in full-stack software development.
• Strong proficiency in Python programming and backend frameworks such as Django, Django REST Framework, Fast API, or Flask.
• In-depth understanding of Python fundamentals, OOP principles, decorators, generators, iterators, memory management, and exception handling.
• Strong knowledge of multithreading, multiprocessing, asynchronous programming, the Global Interpreter Lock (GIL), thread safety, race conditions, and synchronization mechanisms.
• Good understanding of Data Structures and Algorithms, including arrays, linked lists, stacks, queues, hash tables, trees, graphs, searching, sorting, recursion, and Big O notation.
• Hands-on experience developing RESTful APIs, middleware, request validation, error handling, authentication, and authorization.
• Strong frontend development skills using React.js or Angular, JavaScript/TypeScript, HTML5, and CSS3.
• Experience with relational databases such as PostgreSQL or MySQL, including schema design, joins, indexing, transactions, and query optimization.
• Familiarity with NoSQL databases such as MongoDB or DynamoDB.
• Experience with Git-based version control, debugging, unit testing, integration testing, and code reviews.
• Understanding of software architecture, design patterns, SOLID principles, and scalable application development.
• Ability to analyze technical requirements, solve complex problems, and independently deliver development tasks.
• Strong analytical, communication, collaboration, and technical documentation skills.

Preferred Skills:

• Hands-on experience with Docker, Dockerfiles, Docker Compose, container networking, volumes, image optimization, and containerized application deployment.
• Experience with Swagger UI, OpenAPI specifications, API schema definitions, request/response documentation, and API contract management.
• Knowledge of AWS or Microsoft Azure, cloud services, environment configuration, secrets management, and production deployments.
• Familiarity with CI/CD pipelines, automated testing, application monitoring, and deployment automation.
• Knowledge of microservices architecture, asynchronous task processing, event-driven systems, and message queues.
• Familiarity with Redis, Celery, RabbitMQ, or similar technologies for caching and background job processing.
• Knowledge of application security, API rate limiting, performance profiling, and production troubleshooting.
• Familiarity with AI/LLM API integrations and AI-powered application development is an added advantage.

Perks

• Flexible Timings
• 5 Days Working
• Healthy Environment
• Celebration
• Learn and Grow
• Build the Community
• Medical Insurance Benefit

Own and drive the BDE/Inside Sales function to consistently generate qualified MQLs and contribute to pipeline growth, while taking full ownership of day-to-day team management and execution.

Key Responsibilities

• Lead, manage and coach the BDE team; own individual and team performance.
• Set and drive targets for MQLs, outreach, meetings and conversion.
• Own outbound demand generation through cold calling, email, LinkedIn and other prospecting channels.
• Develop and optimize outreach strategies, messaging, campaigns and prospecting processes.
• Ensure MQL quality and effective handoff to Sales.
• Monitor performance, identify gaps and drive continuous improvement.
• Maintain CRM discipline, reporting and data quality.
• Partner with Sales and Marketing to improve lead quality, conversion and pipeline contribution.
• Drive new ideas, experiments and initiatives to scale demand generation.

Executive Reporting

• Provide a weekly executive-level report covering MQLs vs. target, pipeline/meetings, conversion, channel performance, key issues, actions and next-week priorities.
• Act as the single point of accountability for BDE performance and provide insights and outcomes to leadership.

Success Metrics

• MQL volume and quality
• MQL-to-meeting/opportunity conversion
• Pipeline contribution
• BDE productivity and target achievement
• Continuous improvement in outbound efficiency

Ideal Candidate

• 10+ years in B2B Business Development/Inside Sales, with experience managing SDR/BDE/BDR teams.
• Strong outbound prospecting, coaching, analytics and performance-management skills.
• Highly target-driven, proactive and comfortable owning business outcomes.

Perks

• Flexible Timings
• 5 Days Working
• Healthy Environment
• Celebration
• Learn and Grow
• Build the Community
• Medical Insurance Benefit

We are looking for a Marketing Lead to own demand generation, AI search visibility, and the content engine that feeds both. The ideal candidate will own: account-based marketing and marketing analytics.

Key Responsibilities

• Run personalized ABM campaigns and own MQLs.
• Set up conversion tracking, attribution and funnel reporting.
• Own AI-search visibility for priority keywords across LLMs.
• Run the content engine for social media and website.
• Plan and run paid ad campaigns and track performance.

Qualifications

• Bachelor’s or Master’s degree; MBA in Marketing preferred.
• 7+ years in B2B marketing.
• Hands-on ABM or target-account campaign experience
• Hands-on LinkedIn Ads experience with budget accountability.
• Strong business writing and editing in English.

Preferred Skills

• Marketing experience in healthcare, or data and AI solutions.
• Exposure to Generative AI tools in a marketing workflow.
• Practical GA4 and Google Search Console skill.
• Ability to plan and execute webinar and events.
• Working knowledge of AEO/GEO.

Perks

• Flexible Timings
• 5 Days Working
• Healthy Environment
• Celebration
• Learn and Grow
• Build the Community
• Medical Insurance Benefit

We are looking for a highly skilled Senior Data Engineer with strong experience in modern data engineering and cloud data platforms. The ideal candidate will have hands-on experience with Snowflake or Databricks, along with a strong understanding of data engineering, ETL/ELT processes, data modelling, data warehousing, and cloud platforms.
Hands-on experience with at least one of Snowflake or Databricks is mandatory, while working knowledge of the other platform is good to have. The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and data solutions.
The role will involve working closely with data engineers, data scientists, analysts, and business teams to deliver reliable and high-quality data solutions.

Key Responsibilities:

Data Architecture & Development: Design, develop, and optimize scalable, secure, and high-performance data solutions using Snowflake and/or Databricks.
ETL/ELT Pipeline Engineering: Build and maintain robust data pipelines with appropriate orchestration, monitoring, retries, logging, and error handling.
Data Modelling & Transformation: Develop scalable data models and transformations following data warehousing and lakehouse best practices.
Snowflake / Databricks Development: Develop and maintain data solutions using Snowflake or Databricks and optimize data processing and query performance.
Advanced Data Engineering & Optimization: Develop and optimize complex SQL and PySpark transformations for large-scale batch and incremental processing. Implement CDC, merge/upsert patterns, partitioning, and schema evolution while performing hands-on tuning of Snowflake queries, Spark jobs, and Delta Lake workloads. Build pipeline observability through execution logging, source-to-target reconciliation, data completeness checks, error diagnostics, and automated failure handling.
Data Quality: Implement data validation, automated testing, monitoring, and quality frameworks to ensure data integrity and reliability.
Performance Optimization: Monitor pipeline and job performance, troubleshoot issues, and optimize queries and data processing workloads.
Cloud Data Engineering: Develop and manage data pipelines and solutions on AWS, Azure, or GCP.
Collaboration: Work with data analysts, data scientists, and business stakeholders to translate requirements into technical specifications and deliverables.
Technical Contribution: Participate in code reviews, technical discussions, design reviews, and establish data engineering best practices.
Innovation & Research: Stay updated on advancements in Snowflake, Databricks, cloud data platforms, AI/ML, and modern data engineering practices.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 5+ years of experience in data engineering, with hands-on experience in at least one of Snowflake or Databricks.
• Strong understanding of:
  • Data modelling
  • Data warehousing
  • ETL/ELT processes
  • Data Lake / Lakehouse architectures
  • Data quality and validation
• Snowflake: Hands-on experience with data modelling, query/performance optimization, access control, streams, tasks, external tables, or equivalent capabilities.
• Databricks: Hands-on experience with data engineering, Spark, Delta Lake/Lakehouse concepts, and data pipeline development.
• Snowflake or Databricks – one must be hands-on; knowledge of the other is good to have.
  Proficiency in SQL and Python. Spark experience is expected for candidates with Databricks exposure.
• Experience building data pipelines on cloud platforms such as AWS, Azure, or GCP.
• Experience with orchestration tools such as Apache Airflow, Azure Data Factory, AWS Glue, or equivalent.
• Familiarity with dbt and modern ELT practices is good to have.
  Familiarity with Git and CI/CD practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently as well as collaboratively in a team environment.

Preferred Skills:

• Hands-on experience with both Snowflake and Databricks.
• Experience with Apache Airflow and dbt.
• Experience with streaming data pipelines such as Kafka, Kinesis, or Pub/Sub.
• Exposure to Generative AI, ML, or advanced analytics solutions.
• Familiarity with BI/analytics tools such as Power BI, Tableau, or Looker.
• Knowledge of data governance, security, and compliance best practices.
• Familiarity with Terraform or other infrastructure-as-code tools.
• Exposure to multiple cloud platforms such as AWS, Azure, or GCP.

Perks

• Flexible Timings
• 5 Days Working
• Healthy Environment
• Celebration
• Learn and Grow
• Build the Community
• Medical Insurance Benefit

We are seeking an accomplished Lead Data Engineer with strong expertise in modern cloud data platforms, with hands-on experience in Snowflake or Databricks. The ideal candidate will be responsible for designing, developing, and optimizing scalable data solutions, building robust data pipelines, and ensuring data quality, reliability, and performance.
The candidate should have strong experience in data engineering, data modelling, ETL/ELT processes, and cloud data platforms, with the ability to work across Snowflake and Databricks. Hands-on experience with at least one of these platforms is mandatory, while working knowledge of the other is good to have.
This role also involves providing technical leadership, mentoring engineers, collaborating with cross-functional teams, and translating business requirements into scalable technical solutions.

Key Responsibilities:

Data Architecture & Development: Lead the design, development, and optimization of scalable, secure, and high-performance data solutions using Snowflake and/or Databricks.
ETL/ELT Pipeline Engineering: Design, build, and maintain robust data pipelines using appropriate orchestration and data engineering frameworks, ensuring reliability, scalability, monitoring, retries, and error handling.
Data Modelling & Transformation: Develop scalable data models and transformations following best practices for data warehousing and modern lakehouse architectures.
Snowflake / Databricks Development: Develop and optimize data solutions on Snowflake or Databricks, including performance tuning, data processing, storage optimization, and workload management.
Data Quality & Governance: Implement data validation, automated testing, monitoring, governance, and security practices to ensure data integrity, reliability, and compliance.
Performance Optimization: Identify and resolve performance bottlenecks across data pipelines, queries, jobs, and data processing workloads.
Cloud Data Engineering: Build and manage data solutions on cloud platforms such as AWS, Azure, or GCP.
Collaboration: Partner with data analysts, data scientists, architects, and business stakeholders to translate requirements into scalable technical solutions.
Technical Leadership: Provide technical guidance and mentorship to data engineers, conduct code/design reviews, and establish engineering best practices.
Innovation & Research: Stay current with advancements in cloud data platforms, data engineering, analytics, and AI/ML technologies and recommend relevant improvements.
Infrastructure & CI/CD: Work with version control, CI/CD, and infrastructure-as-code practices for reliable deployment and management of data platforms.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 7–10 years of experience in data engineering, with strong hands-on experience in at least one of Snowflake or Databricks.
• Demonstrated experience in leading and mentoring data engineering teams.
• Strong working knowledge of modern data engineering concepts, including:
  • Data modelling and data warehousing
  • ETL/ELT processes
  • Data Lake / Lakehouse architectures
  • Batch and incremental data processing
  • Data quality and validation
• Snowflake: Strong hands-on experience in data modelling, performance tuning, access control, and features such as streams, tasks, external tables, or equivalent capabilities.
• Databricks: Strong hands-on experience with data engineering, Spark-based processing, Delta Lake/Lakehouse concepts, and pipeline development.
• Snowflake or Databricks – one must be hands-on; knowledge of the other is good to have.
• Proficiency in SQL and Python.
• Spark experience is expected for candidates with Databricks exposure.
• Experience building and managing data pipelines on AWS, Azure, or GCP.
• Experience with data orchestration tools such as Apache Airflow, Azure Data Factory, AWS Glue, or equivalent.
• Familiarity with transformation frameworks such as dbt is good to have.
• Familiarity with version control systems such as Git and CI/CD practices.
• Exposure to infrastructure-as-code tools such as Terraform is good to have.
• Strong analytical, problem-solving, collaboration, and communication skills.
• Demonstrated ability to lead technical projects and mentor junior/mid-level engineers.

Preferred Skills:

• Hands-on experience with both Snowflake and Databricks.
• Experience with dbt and Apache Airflow.
• Experience with streaming technologies such as Kafka, Kinesis, or Pub/Sub.
• Experience with Generative AI, ML, or advanced analytics applications.
• Familiarity with BI/analytics tools such as Power BI, Tableau, Looker, or similar.
• Knowledge of data governance, security, and compliance frameworks.
• Experience with multiple cloud platforms such as AWS, Azure, or GCP.

Perks

• Flexible Timings
• 5 Days Working
• Healthy Environment
• Celebration
• Learn and Grow
• Build the Community
• Medical Insurance Benefit

We are looking for a Digital Marketing Intern to support our SEO, and social media work.

Key Responsibilities

• Track daily site health and search performance, and flag issues.
• Publish and optimize website and blog content.
• Run keyword and prompt research and turn it into briefs for the content team.
• Maintain directory and profile listings, and compile backlink data.

Qualifications

• Bachelor’s degree; MBA in Marketing preferred. Fresh graduates are encouraged to apply.
• Strong written English and careful attention to detail.
• Comfortable in spreadsheets .
• Exposure to AI tools for research and content workflows.

Preferred Skills

• Basic understanding of digital marketing.
• Familiarity with any CMS, GSC, GA4 (Good to have)
• Interest in B2B, data and AI, or healthcare technology.

Perks

• Flexible Timings
• 5 Days Working
• Healthy Environment
• Celebration
• Learn and Grow
• Build the Community
• Medical Insurance Benefit

We are looking for a creative and execution-focused Motion Graphic Designer to lead our brand’s visual storytelling across digital channels. The ideal candidate is a hybrid creator: someone who can produce high-fidelity motion graphics for product walkthroughs , while also rapidly churning out high-quality social media collateral. You should be an "AI-first" designer, leveraging modern tools to maximize speed and creativity.

What You’ll Do

• Motion & Video: Produce and edit high-impact SaaS product walkthroughs, explainer videos, and short-form motion content.
• Social Media Collateral: Rapidly design engaging LinkedIn carousels, static posts, and digital ad sets
• Corporate & Sales Design: Create professional, visually compelling business decks and sales collateral
• AI Integration: Actively use AI tools (Midjourney, Adobe Firefly, Runway, etc.) to accelerate design workflows
• Brand Ownership: Maintain a consistent and polished visual identity across all online and offline platforms

Required Skills

• Strong experience in graphic design and visual communication
• Strong command over PowerPoint / presentation design(s)
• Primary experience in creating engaging and viral posts for LinkedIn, Instagram and Youtube
• Proficiency in image and video editing tools such as Canva, Adobe Creative Suite, Filmora, or equivalent
• Familiarity with AI tools for design, content, and presentations
• Exposed to AI-assisted creative workflows (Midjourney, Adobe Firefly, Runway, Sora, or similar)
• Basic motion graphics or animation capability
• Good sense of typography, layout, color balance, and storytelling
• 3+ years of relevant experience in marketing design/creative design
• Experience in B2B, IT services, technology, or corporate environments preferred

What We’re Looking For

• Strong design taste with attention to detail
• Fast execution and ownership mindset
• Someone who thinks in stories first, pixels second
• Comfort operating without a creative director with self-directed taste and judgment
• Ability to understand briefs quickly
• Professional communication and collaboration skills
• Willingness to learn and adapt to new tools and trends

Perks

• Flexible Timings
• 5 Days Working
• Healthy Environment
• Celebration
• Learn and Grow
• Build the Community
• Medical Insurance Benefit