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Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry. We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today's digital era. Leveraging the latest advancements in technology—including Generative AI—we are committed to driving innovation and transforming how enterprise organizations operate. As part of our continued growth, we are expanding our AI and Software Engineering team in Hyderabad, India, and looking for an Engineering Manager to help scale our AI-driven applications and integrations. As an Engineering Manager – AI and Software Engineering, you will lead and manage a team of engineers focused on delivering scalable and intelligent AI capabilities across the Seismic platform and external integrations. Your team will be responsible for engineering solutions that interconnect Seismic’s core AI capabilities with the broader enterprise ecosystem—including Microsoft Teams, M365 Copilot, Salesforce Agentforce, and evolving frameworks such as MCP (Model Context Protocol). This role is ideal for a hands-on technical manager who is excited about building infrastructure and services that interoperate across complex ecosystems while enabling consistent, secure, and intelligent user experiences
Job Responsibility:
Lead, mentor, and manage a team of engineers, fostering a culture of collaboration, innovation, and continuous learning
Define and drive the AI and software technology and architectural directions
Oversee the engineering of integrations between Seismic’s AI services and external systems
Track and adopt evolving protocols, APIs, and standards in the AI ecosystem
Guide backend and integration architecture, ensuring the performance, reliability, and security of AI-driven services
Work closely with product managers, data scientists, engineers, and design teams
Own delivery pipelines from planning through production
Define and monitor KPIs for integration reliability, data flow, latency, and system interoperability
Requirements:
7+ years of experience in software engineering with at least 2 years in a leadership or management role
Proficiency in building and deploying Generative AI use cases
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
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
Extensive experience in SaaS application development and cloud technologies
Familiarity with Microsoft 365 extensibility models, Microsoft Teams development, Salesforce integration, and AI orchestration environments
Proven ability to translate product needs into scalable solutions
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Proactive, hands-on, and delivery-focused, with a strong sense of accountability and attention to detail
Nice to have:
Front-end/full-stack experience is a plus
What we offer:
Competitive compensation package, including salary, bonus, and equity options
A supportive, inclusive work culture
Professional development opportunities and career growth potential