CA Locals Only - Engineering Manager

[Veena US Staffing]

Job title: Engineering Manager

Location: Only local candidates, Santa Clara, Onsite Day one

Rate: $65 on C2C

Client: Tech M / AMAT

Engineering Manager with Software development + Hands on experience

 

Key Responsibilities:

Lead and mentor a team of Python developers and software engineers, ensuring high-quality deliverables

Drive architecture, design, and development of complex Python-based applications and platforms

Manage end-to-end software development lifecycle including requirements, coding, testing, and deployment

Collaborate with cross-functional teams such as product, hardware, QA, and DevOps to define and deliver solutions

Ensure adherence to coding standards, best practices, and software quality processes

Oversee project planning, resource allocation, timelines, and risk management

Conduct code reviews and improve application performance, scalability, and reliability

Drive innovation, adopt new technologies, and contribute to product roadmap and technical strategy

Manage hiring, performance evaluations, and career development of team members

 

Required Skills & Qualifications:

Bachelor’s/master’s degree in computer science, Engineering, or related field

8–12+ years of experience in software development with strong expertise in Python

2–5+ years of experience leading engineering teams

Proficiency with Gen AI / code generation tools like Claude code etc.

Strong knowledge of Python frameworks and package management

Experience with SDLC, Agile methodologies, and DevOps practices (CI/CD, Jenkins, Docker)

Expertise in system design, microservices, and scalable architecture

Proficiency in tools such as Git, Jira, Confluence, and build tools like Gradle

Strong problem-solving, leadership, and communication skills

 

Preferred Qualifications:

Experience in semiconductor, manufacturing, or high-tech industries

Exposure to AI/ML, data processing, or algorithm development

Experience with cloud platforms (AWS/Azure/GCP)

Knowledge of performance optimization and distributed systems