Design, build, and deploy scalable backend services and data pipelines using Python and Java on Google Cloud Platform. Integrate AI/LLM capabilities into applications while maintaining high security and code quality standards.
Nexaminds
18 Remote Job Openings at Nexaminds
You will play a key role in designing, developing, and maintaining robust backend systems that power the company's AI-driven applications. You will collaborate with the engineering team to ensure high-quality code and scalable architecture.
Sr Software Engineer (Next.js ,React.js , Java, Node js)
Nexaminds
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Full Time
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11 days ago
Nexaminds
Design and develop scalable, high-performance full-stack applications using React.js, Next.js, and Java Spring Boot. Lead the team in building maintainable software and translating business requirements into technical solutions for millions of users.
Drive new business generation within enterprise-level retail and logistics companies. Build and manage a high-value sales pipeline through strategic prospecting and executive networking to meet senior-level quotas.
Design and deploy scalable APIs and production-ready agentic solutions using Go. Collaborate with stakeholders and cross-functional teams to translate business needs into technical requirements and high-quality API integrations.
Lead the validation and quality strategy for AI-powered systems, including LLMs, RAG applications, and agent-based workflows. Build automated evaluation pipelines and implement AI guardrails to ensure production-ready, safe, and accurate AI solutions.
Design and maintain scalable backend services using Node.js and event-driven architectures. Integrate cutting-edge AI capabilities, including LLMs and RAG, into modern cloud applications.
Deliver engaging ServiceNow training sessions and workshops for end users, administrators, and stakeholders. Develop and maintain comprehensive training materials, user guides, and knowledge base articles to drive platform adoption.
Lead the design and development of reusable, config-driven data ingestion engines and transformation pipelines using Python and Azure Databricks. Implement metadata-driven validation layers and optimize Spark jobs to scale data solutions across various healthcare data domains.
Lead and develop a team of principal-level engineers while managing delivery visibility and dependencies for a large-scale modernization program. Act as a coordination layer between engineering teams and senior leadership to ensure alignment with program standards and remove organizational friction.
Lead a high-impact team focused on internal developer platforms and productivity while contributing hands-on to architecture and coding. Manage the technical roadmap, mentor engineers, and drive the adoption of AI-assisted development tools across the organization.
Lead the modernization of a monolithic enterprise platform by designing distributed data models and migration strategies from SQL Server to Azure Cosmos DB. Define event schema standards and data ownership models to enable a seamless transition to a cloud-native microservices architecture.
Design and implement scalable Azure Cosmos DB solutions, focusing on data modeling, performance optimization, and cost management. Lead the migration of relational databases from SQL Server to Cosmos DB and support event-driven architectures.
Design and implement scalable APIs and production-ready agentic solutions using Go. Collaborate with stakeholders and cross-functional teams to translate business needs into technical requirements and high-quality backend architectures.
Design, develop, and deploy scalable backend services and microservices using Java, Python, and GCP. Build reliable data pipelines and support the integration of Large Language Models and AI-powered services.
Lead the development, optimization, and scaling of data solutions by building reusable ingestion engines and transformation components. Implement metadata-driven validation layers and maintain production-ready onboarding templates for various data domains.
Lead the design and development of scalable cloud-native backend solutions and secure microservices using Java, Python, and GCP. Provide technical leadership by mentoring engineers, conducting design reviews, and managing the application security posture.
Design and deploy scalable backend services, APIs, and data pipelines using Java, Python, and GCP. Support the integration of Large Language Models and AI-powered services while maintaining high code quality and security.
