Job description

Software Engineers with 8+ years of experience and a passion for building scalable, cloud-native software solutions. In this role, you will own, design, develop, and enhance cutting-edge applications in the observability domain, leveraging modern technologies, automation frameworks, and cloud-native platforms. You will collaborate closely with cross-functional teams to deliver innovative, reliable, and high-performance solutions while driving engineering excellence in a dynamic and agile environment.

As a Senior Software Engineer in MantaRay NM you will:

Own the end-to-end design, development, delivery, and lifecycle management of cloud-native applications, ensuring scalability, resilience, and operational excellence.
Lead the architecture and implementation of distributed systems components, microservices, and platform components, driving technical decisions and engineering best practices across the team.
Champion a quality-first engineering culture by driving test automation, continuous testing, code quality, reliability engineering, and DevSecOps practices throughout the software lifecycle.
Design, implement, and optimize CI/CD pipelines, deployment automation, observability, and Kubernetes-based cloud-native platforms to improve delivery velocity and system reliability.
Leverage AI-powered development tools, agentic automation frameworks, and engineering productivity solutions to accelerate software delivery, improve quality, and enhance operational efficiency.
Provide technical leadership, mentor engineers, and collaborate with cross-functional teams to successfully deliver high-quality software solutions aligned with product and business objective.

You have:

A Graduate/master's degree in engineering or equivalent with 8+ years of experience in designing, developing, and delivering cloud-native, distributed software systems using Java (Spring Boot)/ Python.
Hands-on experience with Linux, Git, Docker, and Kubernetes/OpenShift.
Experience building and integrating REST APIs and microservices.
Experience with CI/CD pipelines (GitLab CI and/or Jenkins)
Exposure to Agentic AI/AI-assisted development tools (Cursor, Claude, or equivalent).

Nice to have:

Experience with SOAP APIs, Oracle/PostgreSQL, or other relational databases.
Proficiency in Linux shell scripting, automation, and strong development experience in Java and Python.
Understanding of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).

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