
Manager, Engineering - Yinyin Liu
- Hyderabad, Telangana
- Permanent
- Full-time
- Opportunity to be a key technical leader in a rapidly growing company and drive innovation in the SaaS industry.
- Work with cutting-edge technologies and be at the forefront of AI advancements.
- Competitive compensation package, including salary, bonus, and equity options.
- A supportive, inclusive work culture.
- Professional development opportunities and career growth potential in a dynamic and collaborative environment.
- Experience: 7+ years of experience in software engineering with at least 2 years in a leadership or management role.
- AI Expertise: Proficiency in building and deploying Generative AI use cases. Experience with Generative AI applications.
- Technical Expertise: Experience with backend development using one or multiple languages, such as Python, C# and .NET, unit testing, object-oriented programming, and relational databases. Experience with Infrastructure as Code (Terraform, Pulumi, etc.), event-driven architectures with tools like Kafka, and feature management (Launch Darkly) is good to have. Front-end/full-stack experience is a plus.
- Cloud Expertise: Experience with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure. Knowledge of cloud-native services for AI/ML, data storage, and processing. Experience deploying containerized applications into Kubernetes.
- SaaS Knowledge: Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern distributed system and cloud operational infrastructure.
- Ecosystem Integration Experience: Familiarity with Microsoft 365 extensibility models, Microsoft Teams development, Salesforce integration, and AI orchestration environments (such as MCP or similar agent-based coordination layers)
- Product Development: Proven ability to translate product needs into scalable solutions. Experience working in SaaS environments and collaborating across functions.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Mindset: Proactive, hands-on, and delivery-focused, with a strong sense of accountability and attention to detail.
- Team Leadership and Management: Lead, mentor, and manage a team of engineers, fostering a culture of collaboration, innovation, and continuous learning. Provide performance feedback, career development, and technical guidance to team members.
- Technology and Architecture Development: Define and drive the AI and software technology and architectural directions, ensuring alignment with business goals and product roadmaps.
- AI Platform Integration: Oversee the engineering of integrations between Seismic’s AI services and external systems, including Microsoft Teams, M365 Copilot, Salesforce Agentforce, and related enterprise platforms.
- AI Ecosystem: Track and adopt evolving protocols, APIs, and standards in the AI ecosystem, ensuring that Seismic remains interoperable, extensible, and enterprise-ready.
- Technical Execution: Guide backend and integration architecture, ensuring the performance, reliability, and security of AI-driven services across multiple environments.
- Cross-functional Collaboration: Work closely with product managers, data scientists, engineers, and design teams to deliver features that balance performance, privacy, and usability.
- Project Delivery: Own delivery pipelines from planning through production, including code quality, deployment readiness, and observability of production systems.
- Metrics & Monitoring: Define and monitor KPIs for integration reliability, data flow, latency, and system interoperability.