Senior Software Architect - AI, Python, AWS

Senior Software Architect - AI, Python, AWS Salary: 45k/55k AED p/month tax free Location: Dubai Media City Benefits: Medical insurance, flight allowance, discretionary bonus, birthday gift after one year Discover the opportunity We are seeking a Senior Software Architect to join a unique tech venture. The company focuses on cutting edge applications centered around security and data privacy. This role offers exceptional long term stability alongside the fast paced innovation of an agile startup environment. You will work alongside a lean tech team, reporting directly to the Tech Product Manager while taking ownership of core software architecture and hands on development. Discover the role As a Senior Software Architect, you will balance technical strategy with active development in a roughly equal split. You will take end to end architectural ownership of user centric applications and cloud infrastructure supporting a modular platform. You will lead the integration of machine learning models into reliable, scalable production systems while ensuring cloud native services remain secure, compliant, and observable. This is an individual contributor position designed for a skilled builder who thrives in a fast moving environment. Discover the responsibilities • Take complete ownership of software and platform architecture from initial design through production deployment • Spend half your time writing hands on code, specifically integrating machine learning models and working with Python • Design, deploy, and manage multi tenant microservices infrastructure across AWS cloud environments and Kubernetes clusters • Embed zero trust networking, privacy by design, and strict security controls across platforms Build and optimize continuous deployment pipelines, automated testing, and full stack observability layers • Work on production grade software products built directly for external commercial users • Identify and resolve system performance bottlenecks, technical debt, and scalability limitations Discover the requirements • Minimum 5 to 7 years of relevant experience in software architecture and hands on engineering Strong hands on development skills in Python • Proven experience building commercial SaaS products sold directly to customers • Deep technical knowledge of cloud infrastructure on AWS and container orchestration via Kubernetes Solid grasp of DevOps and MLOps practices, infrastructure as code, and continuous integration tools • Strong understanding of zero trust security, data encryption, and data residency standards Experience in fast paced startup or scaleup environments is strongly preferred • Familiarity with large language models or agentic setups is a distinct advantage Show more Show less

Minimum 5 to 7 years of relevant experience in software architecture and hands on engineering. Strong hands on development skills in Python. Proven experience building commercial SaaS products sold directly to customers. Deep technical knowledge of cloud infrastructure on AWS and container orchestration via Kubernetes. Solid grasp of DevOps and MLOps practices, infrastructure as code, and continuous integration tools. Strong understanding of zero trust security, data encryption, and data residency standards. Experience in fast paced startup or scaleup environments is strongly preferred. Familiarity with large language models or agentic setups is a distinct advantage.

Take complete ownership of software and platform architecture from initial design through production deployment. Spend time writing hands on code, specifically integrating machine learning models and working with Python. Design, deploy, and manage multi tenant microservices infrastructure across AWS cloud environments and Kubernetes clusters. Embed zero trust networking, privacy by design, and strict security controls across platforms. Build and optimize continuous deployment pipelines, automated testing, and full stack observability layers. Work on production grade software products built directly for external commercial users. Identify and resolve system performance bottlenecks, technical debt, and scalability limitations.