Job Description Experience with responsive web design, turning requirements into great user experiences. Should be able to demonstrate and articulate the design with the business team. Experience building UI architecture from scratch Work with UI developers and business team to design and develop reusable UI framework components. Experience with React tools including React.js, Webpack, Redux, and React tool kit. Senior-level proficiency in HTML, CSS and SASS, HTML-5, Bootstrap Strong knowledge of HTML/JAVASCRIPT/CSS. Leverage design tools such as Figma or Adobe (XD, Photoshop, Illustrator) to create and iterate on visual design elements.
Job Description 0 to 1 years of professional experience in Android development. Strong portfolio of published Android apps. Strong proficiency in Kotlin and Java. Experience with Android SDK and Android Studio. Experience with Android design principles, patterns, and best practices. Experience with RESTful APIs and integrating third-party APIs, libraries, and services. Knowledge of memory management, performance optimization techniques. Knowledge of publishing apps on Google Play Store with submission guidelines. Strong problem solving, critical thinking, debugging, and testing skills.
Job Description 3+ years of experience in Salesforce custom applications development Hands-on experience with APEX classes, Lightning components, Visualforce, Rest APIs, Triggers, Batch Apex, and Scheduler Proficient in Platform Events, Flow, Visualforce Pages, Connect Apps, and APIs Experience with Salesforce integrations Knowledge of Agile methodologies Strong problem solving and collaboration skills required. Salesforce certifications (Salesforce Developer, Salesforce Platform App Builder) are preferred.
We are looking for an experienced AWS Developer responsible for making our app more scalable and reliable. We are currently running our services on EC2 machines using Auto Scaling Groups, and are looking to containerize our application and migrate it to EKS Currently, our monitoring is not working well, so you are going to be responsible for setting up a monitoring stack. Those metrics are also going to be used for service capacity planning. Our deployment model needs an update. It is currently not possible to do automatic rollbacks, and every time a new version is deployed to our production servers, we experience some short downtime. The current CI/CD pipeline is also not reliable, and we are looking to migrate to the AWS CI/CD stack. Responsibilities Understand the current application infrastructure and suggest changes to it. Define and document best practices and strategies regarding application deployment and infrastructure maintenance. Migrate our infrastructure with zero downtime to a highly available, scalable one. Set up a monitoring stack. Define service capacity planning strategies. Implement the application’s CI/CD pipeline using the AWS CI/CD stack. Write infrastructure as code using CloudFormation or similar. AWS CDK (NodeJS/Typescript) AWS ECS/ ECR AWS RDS AWS CloudFront AWS API Gateway AWS Lambda (Node.js) AWS S3 AWS EventBridge Skills Experience with the core AWS services, plus the specifics mentioned in this job description. Good background in Linux/Unix administration. Experience with Docker and Kubernetes. Proficiency in at least one language from our stack: Strong notions of security best practices (e.g. using IAM Roles, KMS, etc.). Experience with monitoring solutions such as CloudWatch, Prometheus, and the ELK stack. Previous exposure to large-scale systems design. Ability to troubleshoot distributed systems. Knowledge of writing infrastructure as code (IaC) using CloudFormation or Terraform. Experience with building or maintaining cloud-native applications. Past experience with the serverless approaches using AWS Lambda is a plus. For example, the Serverless Application Model (AWS SAM).
Job Description 1 year of experience developing and training machine learning models using structured and unstructured data. Experience with LLMs, transformers, and generative AI (e.g., GPT, Claude, etc.). Knowledge of AI/LLM stacks such as LangChain, LangGraph, and vector databases. Exposure to conversational interfaces, AI copilots, and agent-based automation. Experience with deploying models in production environments (e.g., MLflow). Strong programming skills in Python (with libraries TensorFlow, PyTorch, scikit-learn, NumPy, etc.). Solid understanding of machine learning fundamentals, deep learning architectures, natural language processing, and computer vision. Knowledge of data processing frameworks (e.g., Pandas, Spark) and databases (SQL, NoSQL).
Job Description 1 year of demonstrated experience in Prompt Engineering. Proven experience working with LLM’s (e.g., GPT, Claude, Gemini etc.) Experience designing, optimizing, and scaling prompts frameworks. Experience with prompt chaining, tool calling, RAG and fine-tuning. Understanding of NLP, tokenization, embeddings, and zero/few-shot prompting. Background in UX writing to maximize model performance and user experience. Knowledge of multi-cloud, hybrid cloud environments Strong analytical and critical thinking skills Proficiency in Python and working with ML toolkits and APIs
Job Description 1 year of experience developing and training machine learning models using structured and unstructured data. Experience with LLMs, transformers, and generative AI (e.g., GPT, Claude, etc.). Knowledge of AI/LLM stacks such as LangChain, LangGraph, and vector databases. Exposure to conversational interfaces, AI copilots, and agent-based automation. Experience with deploying models in production environments (e.g., MLflow). Strong programming skills in Python (with libraries TensorFlow, PyTorch, scikit-learn, NumPy, etc.). Solid understanding of machine learning fundamentals, deep learning architectures, natural language processing, and computer vision. Knowledge of data processing frameworks (e.g., Pandas, Spark) and databases (SQL, NoSQL).