Job
Description
As a Senior Software Engineer in the Autonomous Cloud Platform team, your primary role will be to lead the development of an AI-powered Autonomous Cloud Portal. You will be responsible for managing multiple engineering teams, driving the full software development life cycle (SDLC), and ensuring timely, secure, and scalable delivery of product features. Your strong leadership skills, architectural understanding, and hands-on experience in cloud-native systems, AI/ML integration, and DevOps practices will be crucial for this role. **Key Responsibilities:** - Build, lead, and mentor cross-functional teams including backend, frontend, AI/ML, QA, and DevOps. - Create an engineering culture focused on innovation, ownership, quality, and continuous improvement. - Facilitate hiring, training, and performance management across engineering roles. - Define and execute the engineering roadmap aligned with business goals and product strategy. - Ensure best practices in architecture, security, scalability, testing, and CI/CD. - Review technical designs and code to ensure high standards and feasibility of AI-driven features. - Collaborate with Product Management, Solution Architects, and Cloud Architects to deliver seamless features. - Ensure coordination between teams for planning, sprints, releases, and documentation. - Own stakeholder communication related to technical deliverables and team velocity. - Establish Agile practices, sprint reviews, and retrospectives to drive project accountability. - Implement engineering KPIs, QA standards, and incident handling processes. - Ensure compliance with security and regulatory requirements in cloud environments. **Qualifications:** - Education: Bachelors or Masters degree in Computer Science, Engineering, or related field. - Experience: 10+ years of engineering experience, with 3+ years in leadership roles. - Technical Expertise: Strong background in Python, FastAPI/Django, DevOps pipelines. - Architecture Oversight: Familiarity with system design, microservices, AI integration, and distributed systems. - Leadership: Proven ability to build, scale, and manage high-performing engineering teams. **Nice to Have:** - Experience building AI/ML-enabled enterprise platforms. - Familiarity with cloud platforms (AWS/Azure/GCP). - Knowledge of compliance standards (ISO, NIST, SOC2). - Familiarity with observability platforms (Grafana, Prometheus, ELK). If you join us, you will have the opportunity to lead a next-gen AI cloud automation platform from the ground up. You will be able to build and scale engineering teams working on cutting-edge cloud and AI technologies, driving impact across architecture, product delivery, and AI integration. As a Senior Software Engineer in the Autonomous Cloud Platform team, your primary role will be to lead the development of an AI-powered Autonomous Cloud Portal. You will be responsible for managing multiple engineering teams, driving the full software development life cycle (SDLC), and ensuring timely, secure, and scalable delivery of product features. Your strong leadership skills, architectural understanding, and hands-on experience in cloud-native systems, AI/ML integration, and DevOps practices will be crucial for this role. **Key Responsibilities:** - Build, lead, and mentor cross-functional teams including backend, frontend, AI/ML, QA, and DevOps. - Create an engineering culture focused on innovation, ownership, quality, and continuous improvement. - Facilitate hiring, training, and performance management across engineering roles. - Define and execute the engineering roadmap aligned with business goals and product strategy. - Ensure best practices in architecture, security, scalability, testing, and CI/CD. - Review technical designs and code to ensure high standards and feasibility of AI-driven features. - Collaborate with Product Management, Solution Architects, and Cloud Architects to deliver seamless features. - Ensure coordination between teams for planning, sprints, releases, and documentation. - Own stakeholder communication related to technical deliverables and team velocity. - Establish Agile practices, sprint reviews, and retrospectives to drive project accountability. - Implement engineering KPIs, QA standards, and incident handling processes. - Ensure compliance with security and regulatory requirements in cloud environments. **Qualifications:** - Education: Bachelors or Masters degree in Computer Science, Engineering, or related field. - Experience: 10+ years of engineering experience, with 3+ years in leadership roles. - Technical Expertise: Strong background in Python, FastAPI/Django, DevOps pipelines. - Architecture Oversight: Familiarity with system design, microservices, AI integration, and distributed systems. - Leadership: Proven ability to build, scale, and manage high-performing engineering teams. **Nice to Have:** - Experience building AI/ML-enabled enterprise platforms. - Familiarity with cloud platforms (AWS/Azure/
