Posted today · be early

Engineering Manager

Mihup.ai

Bengaluru, Karnataka, IndiaPosted 1 day ago

Skill Required

FulltimeEngineering ManagerSystem DesignMachine LearningGenerative AIMicroservicesObservabilityGCPKubernetesPythonGolangDockerC++AzureCI/CDAgileJavaNLPAWS

Key highlights

10-14 years of software engineering experience with at least 3 years in engineering leadership

Role overview

Responsibilities

Lead and mentor a team of software engineers, fostering a culture of ownership, collaboration, and continuous learning.
Drive end-to-end product development, from architecture and design to deployment and maintenance.
Collaborate with product managers and AI teams to translate business requirements into scalable technical solutions.
Define engineering roadmaps, delivery milestones, and execution strategies.
Ensure timely delivery while maintaining high standards for quality, security, scalability, and performance.
Conduct architecture reviews, code reviews, and technical design discussions.
Build and improve engineering processes, including Agile execution, CI/CD, testing, and release management.
Manage technical risks, dependencies, and resource planning across multiple projects.
Recruit, coach, and retain top engineering talent.
Work closely with customers and stakeholders to understand product requirements and translate feedback into product improvements.
Champion engineering best practices, automation, observability, and operational excellence.

Requirements

Bachelor's or master's degree in computer science, electronics, or a related engineering discipline.
10-14 years of software engineering experience with at least 3 years in engineering leadership.
Proven experience building and shipping B2B or enterprise software products.
Strong expertise in system design, distributed systems, cloud-native architectures, and microservices.
Hands-on experience with Python, Go (Golang), Java, or C++.
Experience with AWS, Azure, or Google Cloud Platform.
Strong understanding of DevOps, CI/CD pipelines, Docker, Kubernetes, and containerized deployments.
Experience leading Agile engineering teams.
Excellent stakeholder management and communication skills.

Nice to have

Experience building AI, machine learning, LLM, speech AI, NLP, or generative AI products.
Experience with Conversational AI, Voice Assistants, or Speech Technologies (ASR/TTS).
Exposure to MLOps and AI product deployment.
Experience working in high-growth startups or product companies.
Knowledge of automotive software, embedded systems, or Software-Defined Vehicles (SDV) is a plus.