Job Description – Engineering Manager / Director<br /> Location: Bangalore Employment Type: Full-time Experience: 10–15+ years<br /> About Us<br /> Avo Automation is an industry-leading test automation platform dedicated to revolutionizing how businesses approach software quality.<br /> Emerging from stealth mode in late 2020, we have focused on transforming the way organizations think about software quality.<br /> Our AI-driven, no-code platform delivers continuous quality assurance across key business processes and supports over 200 technologies.<br /> With efficient test data management and machine learning capabilities, our platform enables teams to enhance quality, conduct efficient data validation, and reduce time to market.<br /> About the Role<br /> 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. You will guide teams to deliver high-quality, AI-enabled software at speed while fostering a culture of ownership, experimentation, and continuous improvement.<br /> Key Responsibilities<br /> Technical Leadership<br /> •<br /> Drive cloud-native SaaS architecture and distributed systems design.<br /> •<br /> Champion CI/CD pipelines for safe, automated, and rapid delivery.<br /> •<br /> Guide teams on AI/ML workflows: data pipelines → model training → deployment → monitoring.<br /> Agile & Lean Practices<br /> •<br /> Promote story slicing into small, testable increments to maximize flow.<br /> •<br /> Scale agile practices across teams while balancing autonomy and alignment.<br /> •<br /> Foster iterative delivery and tight feedback loops.<br /> People & Talent Management<br /> •<br /> Coach engineers to own delivery, experiment, and continuously improve.<br /> •<br /> Mentor technical leads in both software engineering and AI/ML best practices.<br /> •<br /> Build a culture of safe, frequent deployments and responsible AI adoption.<br /> Operational Excellence<br /> •<br /> Ensure release reliability through monitoring, observability, and automated rollback.<br /> •<br /> Embed MLOps and continuous retraining for AI-powered SaaS.<br /> •<br /> Define metrics for deployment frequency, lead time, change failure rate, and AI model performance.<br /> Strategic Thinking & Business Alignment<br /> •<br /> Align engineering throughput with product roadmaps and business outcomes.<br /> •<br /> Balance speed of delivery with long-term maintainability and compliance (esp. in AI systems).<br /> •<br /> Drive innovation while managing technical debt responsibly.<br /> Communication & Change Leadership<br /> •<br /> Translate complex engineering and AI concepts into business value for executives and customers.<br /> •<br /> Lead cultural change toward “always deployable” software and responsible AI integration.<br /> •<br /> Influence stakeholders with clarity on trade-offs (speed vs. reliability vs. cost).<br /> Qualifications<br /> •<br /> Bachelor’s/Master’s degree in Computer Science or related field.<br /> •<br /> 10–15+ years in software engineering, with 5+ years in leadership roles.<br /> •<br /> Proven track record of leading teams in SaaS, cloud-native, and AI/ML-powered products.<br /> •<br /> Strong knowledge of CI/CD, distributed systems, MLOps, and agile scaling.<br /> •<br /> Excellent people leadership, coaching, and communication skills.<br /> •<br /> Ability to align engineering strategy with business goals.