Top Front-End Developer Jobs in Hartford, CT

The Solutions Architect will engage with sales, product management, and solutions teams to provide technical expertise, develop client-specific proposals, and demonstrate Lifebit's platform capabilities. Responsibilities include technical customer support in bioinformatics/cloud infrastructure, solution lifecycle management, and capturing project insights for knowledge sharing.

The Data Solution Architect will lead Salesforce Data Cloud projects, collaborating with clients to define requirements, creating solutions, and managing project documentation. The role includes developing Proofs of Concept (POCs), design sessions, and delivering high-quality enterprise solutions in alignment with client objectives. Responsibilities also involve multiple client management and maintaining best practice methodologies.

The Senior Software Engineer will manage the full development lifecycle of mobile applications using React Native and web clients in React, as well as Python APIs. Responsibilities include collaborating with cross-functional teams, enhancing user experience, improving processes, and participating in design discussions and code reviews.

As a Product Engineering Lead at Crescendo Health, you'll take ownership of product areas and codebase, focusing on both frontend and backend engineering. You'll lead technical decisions, improve patient outcomes, and contribute to team culture and processes in a remote setting.

As a Senior Java Software Engineer, you will design and develop high-performance microservices and event-driven architectures, mentor junior engineers, and own the full software development life cycle. You will collaborate across teams, implement scalable solutions, and drive improvements in a cloud-native environment.

The Solution Architect Leader at TTEC Digital will lead a team of solution architects, managing client engagements while designing innovative solutions focused on cloud technologies and customer experiences. Responsibilities include team leadership, strategic partner engagement, solution development, and thought leadership to ensure alignment with business goals.

As a Senior AI/ML Engineer, you will design, train, and deploy machine learning models, collaborate with cross-functional teams, and maintain machine learning pipelines. You will utilize tools such as PyTorch, Kubernetes, and Apache Spark, and will need a strong understanding of various machine learning subfields with a focus on NLP, CV, and Time Series.