Manager, Cloud Software Engineering

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Cloud Software Engineering in the United States. This is a high-impact leadership role focused on shaping and scaling AI platform and cloud engineering capabilities across global teams. You will guide a distributed group of engineers responsible for building secure, scalable, and automated infrastructure powering next-generation AI/ML systems. The role blends technical leadership, people management, and delivery ownership across CI/CD, DevOps, and cloud-native platforms. You will collaborate closely with architecture and AI/ML leaders to define engineering standards and long-term platform strategy. This environment is fast-paced, innovation-driven, and centered on continuous improvement and operational excellence. Success in this role directly influences the reliability, performance, and evolution of enterprise-grade AI services used at scale.
• Accountabilities: Lead and mentor a distributed cloud and AI platform engineering team, fostering strong execution, collaboration, and continuous growth Own sprint planning, delivery cadence, reporting, and execution quality across multiple technical workstreams Drive architecture discussions, enforce engineering standards, and ensure high-quality code and system design practices Collaborate with senior technical leaders to define the roadmap for AI platform infrastructure and DevOps evolution Manage cross-team dependencies, remove delivery blockers, and ensure smooth execution across global (US–India) teams Oversee CI/CD pipelines, automation frameworks, and cloud infrastructure reliability for AI/ML systems Contribute to hiring, team development, and retention strategies to build a high-performing engineering organization Requirements: 10+ years of software engineering experience with at least 4+ years in engineering management roles Proven experience building and scaling enterprise-grade cloud or AI/ML platforms in SaaS environments Strong hands-on knowledge of cloud infrastructure and distributed systems, particularly on Amazon Web Services Experience working with containerization and orchestration tools such as Kubernetes and infrastructure-as-code tools like Terraform Exposure to AI/ML platform technologies including LLM deployment, embeddings, RAG, and agentic workflows Familiarity with platforms such as OpenAI and AWS AI services including SageMaker and Bedrock Strong leadership, communication, and stakeholder management skills across distributed global teams Ability to balance technical depth with strategic execution and team leadership Benefits: Competitive annual compensation aligned with experience and location (estimated range: $125,000 – $162,000) Remote-friendly work structure with distributed global collaboration Opportunity to lead cutting-edge AI platform engineering initiatives at scale Comprehensive health, dental, and vision insurance options Career growth in a fast-evolving AI and cloud-native technology environment Inclusive, collaborative culture focused on innovation and continuous learning Opportunity to influence architecture and engineering practices across global teams
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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