Location: Permanent WFH/Remote

Type : Fulltime

Responsibilities:

• Perform Drupal development tasks including custom module development using the Drupal API system and hooks from major Drupal core systems
• Understand the client's business requirement and develop a scalable software solution.
• Attend client calls, provide demonstrations to the client.
• Maintain appropriate documentation with the code, following the best practices..
• Undertake quality assurance and testing for functionalities developed.
• Should be familiar with Drupal coding standards and best practices.
• Should have good hands-on experience with HTML/CSS/JavaScript.
• Should have a fair understanding of building Drupal themes and working with templates.
• Should be well-versed with GIT processes 

Requirements, Skills, Qualifications

• 6+ years developing Drupal applications. Drupal 7/8/9 experience required.
• 5+ year of Experience in building applications in Drupal8.
• 2+ years industry experience in software development and/or DevOps projects. 
• Must have strong analytical and technical skills using PHP.
• Expertise in JavaScript and mainstream JavaScript libraries such as JQuery and working knowledge of Ajax.
• Good understanding of web technologies, debugging and protocols.
• Contribution to the open-source community
• Must have PHP, JavaScript, AJAX, HTML and CSS experience
• Should be able to code as per Drupal coding standards  and best practices.
• Should be well versed with implementation and configuration of most commonly used modules
• Respond positively to opportunities to be involved in brainstorming and iterative work. Handle times of change in a way that drives innovation and iteration.
• Experience on Drupal 9 (Good to have)

SEND US YOUR RESUME

Location: Permanent WFH/Remote

Type : Fulltime

About the Role:

We are looking for a Data Engineer who is passionate about building robust data pipelines and architectures that transform raw data into actionable insights. In this role, you'll design, build, and maintain the infrastructure necessary to support data analytics and machine learning efforts. If you enjoy working with large datasets, optimizing ETL processes, and ensuring data quality, you'll fit right in.

What You’ll Be Doing:

Designing and Building Data Pipelines

• Architect and implement data pipelines that efficiently process large volumes of data.
• Develop and maintain ETL processes to transform raw data into structured, meaningful information.
• Collaborate with engineers, analysts, and business stakeholders to understand data requirements and ensure reliable data flows.

Managing Data Infrastructure

• Work with various data storage solutions such as data lakes, data warehouses, and relational databases.
• Ensure data systems are scalable, reliable, and optimized for performance.
• Implement data governance practices to maintain data integrity and security.

Optimizing and Automating Workflows

• Monitor data pipelines to identify and resolve performance issues.
• Automate repetitive tasks and streamline data processing workflows.
• Continuously document and improve data processes to ensure transparency and efficiency.

Collaborating and Innovating

• Partner with cross-functional teams to understand business needs and deliver effective data solutions.
• Stay updated on industry trends and emerging technologies in data engineering.
• Contribute ideas to improve data quality, efficiency, and overall infrastructure.

What We’re Looking For:

Technical Expertise

• Proficiency in programming languages such as Python, Java, or Scala.
• Strong command of SQL and experience with relational databases.
• Experience with big data technologies like Hadoop, Spark, or Kafka is a plus.
• Familiarity with cloud platforms (AWS, GCP, Azure) and their data services.

Problem-Solving and Analytical Skills

• Ability to design efficient data architectures and solve complex data challenges.
• A strong focus on data quality and performance optimization.
• Experience in developing robust, scalable data pipelines.

Communication and Collaboration

• Strong verbal and written communication skills.
• Ability to translate complex technical concepts into clear terms for non-technical stakeholders.
• Experience working in collaborative, cross-functional teams.

Learning Mindset

• A drive to continuously learn and adapt in a fast-paced environment.
• Curiosity about emerging data technologies and best practices.
• Willingness to share knowledge and help the team grow.

Experience Needed:

• 5+ years of experience in data engineering, or a related field.
• Proven track record of building and managing data pipelines and infrastructure.
• Experience working in environments that handle large-scale data processing.

SEND US YOUR RESUME

Location: Permanent WFH/Remote

Type : Fulltime

About the Role:

We are looking for a Platform Engineer who thrives on designing, deploying, and managing complex solutions across multiple cloud platforms. This role is perfect for someone who can navigate AWS, Azure, GCP, or other cloud environments with ease and has a knack for making systems understandable and explainable to both technical and non-technical audiences. If you enjoy solving complex problems, building robust infrastructures, and continuously improving platform performance, you’ll fit right in.

What You’ll Be Doing:

Designing and Deploying Cloud Solutions

• Architect and implement cloud-based platforms and solutions that meet business requirements.
• Work across multiple cloud environments to deploy scalable and secure systems.
• Develop and maintain infrastructure as code using tools such as Terraform, CloudFormation, or similar.
• Ensure that complex systems are built with transparency and are explainable to all stakeholders.

Optimizing Platform Performance

• Monitor and analyze system performance, troubleshooting issues as they arise.
• Implement automation and CI/CD pipelines to streamline deployment and operations.
• Work closely with engineering teams to integrate systems and optimize workflows.

Ensuring Explainability and Transparency

• Develop documentation and visualizations that clearly articulate the architecture and functionality of deployed systems.
• Collaborate with cross-functional teams to demystify technical details for business and technical audiences alike.
• Maintain a focus on making systems auditable and compliant with relevant standards.

Collaborating and Innovating

• Act as a bridge between technical teams and business stakeholders, ensuring clear communication of platform capabilities and limitations.
• Stay current with the latest cloud technologies, best practices, and industry trends.
• Propose and implement improvements to existing systems based on feedback and performance data.

What We’re Looking For:

Cloud and Infrastructure Expertise

• Proven experience navigating and deploying solutions across multiple cloud platforms (AWS, Azure, GCP, etc.).
• Strong knowledge of infrastructure as code, containerization, and orchestration tools.
• Familiarity with CI/CD practices and automation tools is essential.

Technical Problem-Solving Skills

• Ability to diagnose and resolve complex issues in distributed systems.
• A knack for simplifying technical concepts, making them understandable for diverse audiences.
• Experience with monitoring tools and performance optimization strategies.

Communication and Documentation Skills

• Excellent written and verbal communication skills.
• Ability to create clear, comprehensive documentation and visual representations of system architecture.
• Comfortable explaining technical details in layman’s terms.

Learning Mindset and Collaborative Spirit

• Curiosity and a drive to stay updated with emerging cloud technologies and best practices.
• Willingness to learn and adapt in a fast-paced environment.
• Team-oriented with a proactive approach to solving challenges.

Experience Needed:

• 5+ years of experience in platform engineering, cloud infrastructure, or a related field.
• Demonstrated experience in deploying and managing solutions on multiple cloud platforms.
• A solid track record of working in collaborative, cross-functional teams to deliver complex projects.

SEND US YOUR RESUME

Location: Permanent WFH/Remote

Type : Fulltime

About the Role:

We are looking for a Senior Machine Learning Engineer who can take complex machine learning models and make them work in real-world production environments. This role is ideal for someone who not only has deep expertise in machine learning but also understands the challenges of deployment, scalability, and performance optimization across different platforms.

Beyond technical skills, we need someone who can lead a team of MLEs, design end-to-end ML solutions, and effectively communicate technical concepts to both engineers and business stakeholders. If you enjoy solving hard problems, working with cutting-edge ML technologies, and taking ownership of projects from idea to deployment, this role is for you.

What You’ll Be Doing:

Building and Deploying ML Models

• Design, build, optimize, deploy and monitor machine learning models for production use cases.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design data pipelines that feed into ML models.
• Optimize model performance, ensuring low latency and high accuracy.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical mentorship and guidance.
• Architect ML solutions that integrate seamlessly with business applications.
• Ensure models are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, CI/CD, and model monitoring.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements and define ML-driven solutions.
• Collaborate with software engineers, data engineers, platform engineers and product managers to integrate ML models into production systems.
• Present technical concepts to non-technical stakeholders in an easy-to-understand manner.

What We’re Looking For:

Machine Learning Expertise

• Deep understanding of supervised and unsupervised learning, deep learning, and NLP techniques, and large language models (LLMs).
• Experience in training, fine-tuning, and deploying ML and LLM models at scale.
• Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn etc.

Production and Cloud Deployment 

• Hands-on experience deploying models to AWS, GCP, or Azure.
• Understanding of MLOps, including CI/CD for ML models, model monitoring, and retraining pipelines.
• Experience working with Docker, Kubernetes, or serverless architectures is a plus.

Data Handling 

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor a team of ML Engineers and collaborate effectively across functions.
• Strong communication skills to explain technical concepts to business teams.
• Passion for staying updated with the latest advancements in ML and AI.

Experience Needed:

• 6+ years of experience in machine learning engineering or related roles.
• Experience in deploying and managing ML and LLM models in production.
• Proven track record of working in cross-functional teams and leading ML projects.

SEND US YOUR RESUME