KubeCraftJobs

DevOps & Cloud Job Board

Java Fullstack Developer (W2 Contract)

Jobs via Dice

Mountain View, CA

Hybrid
Mid Level
Contract
Posted January 13, 2026

Tech Stack

java ruby rails spring spring-boot kafka kubernetes github junit amazon-web-services heroku splunk wavefront mysql postgresql redis datadog grafana appcast

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Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ARV-Infotech, is seeking the following. Apply via Dice today! **Full stack Java Developer** **Location: Mountain View, CA (3 Days onsite in a week/Hybrid)** **Long Term** Responsibilities: Min 10+ years or IT Experiance 50% Frontend -50% Backend Developer 70-85% hands-on software development across all SDLC phases. Conduct design and code reviews; create technical documentation. Contribute to our DevOps model. Develop AI-first and generative AI-first product experiences. Estimate and sequence development activities. Analyze inputs to create software and services. Identify technical dependencies. Collaborate with engineers and architects. Qualifications: Software development experience in large-scale SaaS systems. Experience with unit/integration/functional/e2e test automation. Advanced experience with Java, Ruby on Rails, Spring Boot, Kafka, Kubernetes, GitHub, JUnit 4/5. Experience with Agile development methodologies (Scrum). Hands-on experience with AWS and/or Heroku. Experience with large-scale, distributed systems. Strong communication skills. Experience with debugging and monitoring tools (Splunk, Wavefront). "Get Stuff Done" attitude. Experience with the entire SDLC and CI/CD. Experience with Ruby on Rails and Heroku is an advantage. Knowledge of Applied AI Data & Messaging Strong database experience (MySQL, PostgreSQL) with replication and partitioning. Messaging/event streaming platform Kafka. Caching and performance tuning using Redis. Monitoring, Logging, and Observability Hands-on experience with Wavefront, Splunk, Datadog, and Grafana. Designing and managing observability dashboards. Implementing log aggregation and alerting strategies.