Engineering Manager/Director

19 hours ago


Bengaluru India SLK Full time

Job Description Job Description : Engineering Manager / Director Location : Bangalore Employment Type : Full-time Experience : 1015+ the Role : We are seeking an experienced Engineering Manager/Director to lead and scale our engineering organization. This role requires deep expertise in SaaS architectures, AI/ML integration, and agile practices, along with strong people leadership and business alignment skills. Technical Leadership You will guide teams to deliver high-quality, AI-enabled software at speed while fostering a culture of ownership, experimentation, and continuous Responsibilities : - Drive cloud-native SaaS architecture and distributed systems design. - Champion CI/CD pipelines for safe, automated, and rapid delivery. - Guide teams on AI/ML workflows : data pipelines model training deployment & Lean Practices : - Promote story slicing into small, testable increments to maximize flow. - Scale agile practices across teams while balancing autonomy and alignment. - Foster iterative delivery and tight feedback & Talent Management : - Coach engineers to own delivery, experiment, and continuously improve. - Mentor technical leads in both software engineering and AI/ML best practices. - Build a culture of safe, frequent deployments and responsible AI Excellence : - Ensure release reliability through monitoring, observability, and automated rollback. - Embed MLOps and continuous retraining for AI-powered SaaS. - Define metrics for deployment frequency, lead time, change failure rate, and AI model Thinking & Business Alignment : - Align engineering throughput with product roadmaps and business outcomes. - Balance speed of delivery with long-term maintainability and compliance (esp.in AI systems). - Drive innovation while managing technical debt & Change Leadership : - Translate complex engineering and AI concepts into business value for executives and customers. - Lead cultural change toward always deployable software and responsible AI integration. - Influence stakeholders with clarity on trade-offs (speed vs. reliability vs. : - Bachelors/Masters degree in Computer Science or related field. - 10 to 15+ years in software engineering, with 5+ years in leadership roles. - Proven track record of leading teams in SaaS, cloud-native, and AI/ML-powered products. - Strong knowledge of CI/CD, distributed systems, MLOps, and agile scaling. - Excellent people leadership, coaching, and communication skills. - Ability to align engineering strategy with business goals. (ref:hirist.tech)



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