Engineering Manager - PxE Platforms

About the role

The successful candidate will lead engineering teams to deliver solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. They will serve as the technical advocate for products and engineering teams, promoting and supporting evolutionary releases, and ensuring proper planning, code integrity, quality, alignment with customer goals, architecture designs, and NFRs.

Responsibilities

• Embrace and drive a culture of accountability for customer and business outcomes.
• Lead engineering teams to deliver solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for products and engineering teams, promoting and supporting evolutionary releases (e.g., alpha, beta, MVP).
• Ensure proper planning, code integrity, quality, alignment with customer goals, architecture designs, and NFRs.
• Possess passion and experience as an individual contributor, responsible for fostering a culture of engineering excellence within the team, being hands-on with design, configuration and/or code part of the time, contributing to team velocity.
• Work daily with the engineering teams to resolve any issues, blockers, or impediments, perform code reviews and optimizations, maintain coding standards compliance, and ensure that technical debt is addressed continuously within sprints to achieve comprehensive quality.
• Be self-driven to learn new technologies, experiment with engineers, and inspire the teams to learn and drive application of those new technologies.
• Mentor and coach product engineering team to cultivate and nurture strong masters of crafts with passion towards product outcomes.
• Lead engineering teams to develop lean solutions through rapid, inexpensive experimentation to solve customer needs.
• Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
• Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
• Possess deep expertise in modern software engineering practices and principles, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste.
• Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning.
• Quickly acquire domain-specific knowledge relevant to the business or product. Translate business and user needs into engineering plans (e.g., sprint plans, enables, tasks, priorities). Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals.
• Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives.
• Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

Requirements

• A bachelor's degree in computer science, software engineering, or a related discipline.
• An advanced degree (e.g., MS) is preferred but not required.
• Experience is the most relevant factor. 10+ years proven experience with programming languages like Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing frameworks with 5 years' experience in managing engineering teams in product engineering organizations from inception to delivery.
• 5+ years of hands-on experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.
• 3+ years of experience with AI/ML and GenAI is preferred.
• 2+ years experience managing cross-functional teams of software and AI/ML engineers, with experience of moving AI prototypes into robust, high-availability production environments.
• Deep understanding of entire application lifecycle, including LLM orchestration(e.g., RAG, LangChain), vector database management and the integration of model APIs into modern microservices.
• 2+ years experience implementing automated CI/CD pipelines specifically for AI including architectural observability, performance monitoring, and cost-optimization for model inference.
• Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc.
• Deep understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.

Qualifications

• Preferred: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.