Top Tech Jobs & Startup Jobs

Design, develop, and deploy AI and Generative AI solutions for industrial automation on Azure. Build RAG systems, vector retrieval, ML models, containerized deployments (AKS, Functions), and MLOps pipelines while collaborating with cross-functional teams to integrate and monitor AI-driven applications.

Design, develop, and maintain cloud-native fullstack applications using AWS serverless technologies and IaC (CDK). Build backend services, REST APIs, and frontend integrations, ensure security (OAuth), CI/CD deployment, troubleshooting, performance optimization, and collaborate with cross-functional teams throughout the SDLC.

Build and maintain full-stack data-driven applications: develop React/Next.js frontends, Node.js/TypeScript backends for ETL and ML workflows, design secure REST APIs, implement CI/CD, ensure cloud security and compliance on AWS, and collaborate in Agile teams.

Build and maintain Kubernetes-based platforms, GitOps-driven CI/CD with ArgoCD, and Infrastructure as Code with Terraform. Implement observability (Prometheus, Grafana, OpenTelemetry, ELK), automate provisioning and deployments, standardize security and operational best practices, and enable engineering teams to improve reliability, scalability, and platform resilience. Occasional travel may be required.

Develop and maintain backend services and integrations for enterprise-scale applications. Implement REST APIs and event-driven solutions using Kafka, optimize database components with SQL/PLSQL, and support SCP Cluster development. Troubleshoot issues, collaborate with cross-functional teams, and contribute to application modernization and system integration efforts while ensuring code quality and performance.

Lead design and delivery of enterprise-grade Java/Angular applications, mentor teams, implement microservices and Kafka-based integrations, modernize legacy systems, ensure code quality, troubleshoot production issues, and participate in Agile delivery.

Develop and maintain enterprise full-stack applications using Java and Angular. Build RESTful APIs and event-driven solutions with Kafka, optimize PostgreSQL databases, contribute to CI/CD, collaborate in agile teams, write well-tested code, participate in reviews, and support performance, scalability, and engineering best practices.

Drive DevOps enablement and automation for AWS-based enterprise applications: build CI/CD pipelines, develop IaC modules, implement GitOps, container orchestration, monitoring, and security best practices while collaborating with dev and ops teams to optimize cloud environments and platform capabilities.

The Cloud Engineer will develop Python-based backend services, design AWS infrastructure, and enable AI integration, focusing on security and scalability.

Lead design and delivery of secure, scalable AI-enabled solutions on AWS. Translate business needs into architecture, user stories, and roadmaps; guide and mentor engineers; implement integrations, GenAI/LLM patterns, and cloud-native backends; ensure security, observability, and operational reliability; run technical reviews, workshops, and troubleshooting; support client-facing discussions and delivery.