Job Description
Cloud Engineer (Java+Python+AI+Cloud)
Principal Software Engineer is a senior technical leader responsible for defining architecture, system design, and engineering direction across complex enterprise systems. This role drives cross-team technical decisions, platform standardization, and end-to-end software lifecycle ownership, ensuring scalable, secure, and reliable solutions. The role requires strong understanding of AI/ML concepts and their application in real-world systems, alongside deep expertise in software engineering fundamentals and distributed system design. Primary Responsibilities: Architecture & Design Lead design of distributed, scalable systems and microservices architectures Define service boundaries, APIs, and integration patterns (event-driven, async) Technical Leadership Act as technical authority for architecture and complex problem-solving Influence engineering decisions across teams without formal authority Engineering Standards & Platforms Establish reusable patterns, standards, and shared components Drive adoption of modern engineering practices and automation-first mindset Cloud & Distributed Systems Drive cloud-native solutions across AWS / Azure / GCP Lead microservices, containerisation (Docker, Kubernetes), and platform engineering DevOps & Delivery Excellence Lead CI/CD pipelines, release automation, and deployment reliability Improve engineering productivity through standardised tooling and automation Reliability & Observability Ensure production readiness via monitoring, logging, tracing, alerting Drive diagnostics and operational excellence practices Decision-Making & Problem Solving Make high-impact technical decisions under ambiguity Balance scalability, reliability, security, and delivery trade-offs Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Qualifications - External Required Qualifications: Experience with: Cloud platforms (AWS / Azure / GCP) Containers & Kubernetes (preferred) CI/CD and DevOps tooling Solid understanding of: Scalability, performance, and reliability Observability and production troubleshooting Secure software engineering practices Experience with AI/ML or Conversational systems Exposure to contact centre platforms or enterprise integrations Solid expertise in: System design & distributed systems Microservices and event-driven architectures API design and integration patterns Proficiency in one or more languages (e.g., Java, Python, Go) Leadership Competencies: Influences technical direction across teams Strong problem-solving in ambiguous environments Effective stakeholder communication (technical & business) Mentors engineers and drives engineering excellence
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