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. Show more Show less

What We’re Looking For: Strong expertise in Drupal 9/10, including architecture, module development, and theming Proven experience leading Drupal projects from planning to deployment Solid understanding of API integration, custom modules, and performance optimization Ability to work independently and remotely with cross-functional teams Show more Show less

Buil 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.

Position: Front End Lead Experience Level: 6+Years Location: Permanent WFH/Remote Job Description : We are looking for a front-end Lead to help bring our industry-leading designs to life. As a web frontend Lead software engineer, you will be responsible for : Responsibilities · Lead the frontend effort for a project adhering to the best practices and latest trends. · Build and ship features with an understanding of Javascript, CSS, and HTML best practices. · Coordinate with back-end engineers to provide a cohesive experience. · Should work closely with the TA. · Interview candidates for Frontend roles · Lead POC projects tagged under Frontend · Able to work both independently and in a team environment. Must have · 8+ years of extensive exposure in developing web applications using the latest front-end technologies · Must know about Twig and twig filters · Good with site building · Working experience in Custom base/sub-theme building, theme overriding, Theme preprocess Expertise in the following areas: · HTML5, CSS3, JavaScript, and JS frameworks. · Responsive & Adaptive web design · CSS frameworks like SASS/LESS · Should have React JS Experience. · Adequate knowledge of Version Control Systems like Git Good To Have · Acquia certified · Good understanding of Node, NPM, etc · At least one project with Decoupled/Progressive Decoupled Drupal