Job
Description
As a Engineering Manager, you will lead a high-impact engineering team in developing and scaling Rakuten SixthSense’s Data Observability platform. This role requires a strong technical background working high-scale systems and full-stack cloud engineering, DevOps. Key Responsibilities Lead and mentor a team of 5-8 engineers, driving innovation in . Define and execute the technical vision for full-stack observability, ensuring high availability and performance. Architect and implement scalable solutions for real-time monitoring, data quality, and operational efficiency. Champion DevOps best practices, including CI/CD pipelines, automation, logging, and Kubernetes-based deployments. Ensure compliance with data governance standards, security, and scalability in hybrid cloud environments (AWS, GCP, Azure). Oversee end-to-end product lifecycle, from concept to deployment, ensuring seamless integration with enterprise systems. Collaborate with product, operations, and business stakeholders, aligning engineering efforts with strategic objectives. Drive Agile execution, ensuring rapid iterations, high-quality deliverables, and continuous improvement. What You Bring 8-12 years of software development experience, with 4+ years in technical leadership roles. Expertise in Java, Spring, Hibernate, and microservices architecture. Experience with any cloud platforms (AWS, GCP, Azure) and hybrid cloud strategies. Proficiency in containerization, Kubernetes, CI/CD pipelines, and infrastructure as code. Full-stack experience in building RESTful APIs, real-time monitoring, and automation frameworks. Proven track record of leading large-scale projects and handling post-production challenges. Hands-on DevOps mindset, ensuring automation, quality, and reliability in data observability platforms. Experience using Observability Platforms. Excellent problem-solving, debugging, and system architecture skills. Nice to Have Previous experience in AIOps, or real-time analytics platforms. Exposure to AI-driven automation and anomaly detection in data engineering.
