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Engineering Manager, (Remote, Guadalajara)

Remote: 
Full Remote
Contract: 
Salary: 
72 - 96K yearly
Experience: 
Expert & Leadership (>10 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Computer Science or Engineering, 15+ years of software engineering experience, Expertise in cloud solutions and AI technologies, Strong experience with React and Python-based development, Proficient in Agile methodologies and CI/CD tools.

Key responsabilities:

  • Lead and mentor a team of engineers
  • Define technical standards and best practices
  • Collaborate to translate business requirements into technical solutions
  • Oversee design and development of scalable systems
  • Stay current with industry trends and promote a learning culture
Invitro Capital logo
Invitro Capital Private Equity & Venture Capital Scaleup https://invitrocapital.com/
11 - 50 Employees
See more Invitro Capital offers

Job description

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Your missions

Job Overview:

Invitro Capital is seeking a highly skilled and strategic Engineering Manager with expertise in Cloud Solutions, AI, Python, and Backend Solution Design to lead our engineering team. You will play a pivotal part in developing cutting-edge software solutions, leveraging cloud technologies, and implementing AI best practices. You will guide your team of engineers, ensuring the successful delivery of complex projects while shaping the technical direction of our innovative ventures. This is an exceptional opportunity to make a significant impact and contribute to the growth of our diverse portfolio.

Working Hours: Monday to Friday, Pacific Time Zone.

Engineering Manager, Responsibilities:

  • Lead, mentor, and manage a team of software engineers, fostering a collaborative and innovative environment.
  • Define and enforce technical standards, best practices, and processes, particularly focusing on cloud solutions, AI, microservices, backend, and frontend development.
  • Collaborate with product managers, designers, and stakeholders to translate complex business requirements into robust technical solutions.
  • Oversee the design and development of scalable backend systems, microservices, and frontend applications, ensuring high performance, security, and reliability.
  • Drive the implementation of AI models, data engineering solutions, and cloud-based architectures to optimize business processes.
  • Conduct regular performance reviews, providing feedback and identifying opportunities for team development and growth.
  • Promote a culture of continuous learning, encouraging the adoption of new technologies and methodologies.
  • Stay current with industry trends, emerging technologies, and best practices in cloud solutions, microservices, AI, software engineering, and frontend technologies like React.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 15+ years of experience in software engineering, with a strong track record of leading and managing engineering teams.
  • Proven expertise in cloud solutions (AWS, Azure, Google Cloud), AI technologies, microservices architecture, and Python-based backend development (Django, Flask, FastAPI).
  • Strong experience with frontend technologies, particularly React and its ecosystem (e.g., Redux, React Router).
  • Strong technical background in solution design, software architecture, and developing scalable, high-traffic applications.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Hands-on experience with agile development methodologies and project management frameworks.
  • Familiarity with CI/CD pipelines and tools like Jenkins, Git, GitHub Actions, and Terraform for infrastructure management.
  • Excellent communication and leadership skills, with the ability to motivate and inspire a team of engineers.
  • Exceptional problem-solving and analytical abilities, with a focus on delivering innovative technical solutions.
  • Proficient organizational and time management skills, capable of managing multiple projects and priorities effectively.

Preferred Qualifications:

  • Master’s degree or higher in Computer Science, Engineering, or a related field.
  • Experience leading engineering teams in the tech startup or venture capital industry.
  • Deep knowledge of cloud platforms (AWS, Azure, Google Cloud) and infrastructure management.
  • Familiarity with machine learning frameworks, data engineering pipelines, and AI-driven product development.
  • Proven experience in solution architecture and backend design, particularly in Python-based environments.
  • Previous entrepreneurial experience or background in product development.

Benefits

Why Join Invitro Capital?

  • Work on cutting-edge AI and B2B technologies: We are at the forefront of AI and B2B innovation. Our employees have the opportunity to work on the latest and greatest technologies, and to make a real impact on the SME market.
  • Help build and grow successful startups: We are committed to helping our portfolio companies succeed. Our employees play a vital role in building and growing these companies. This is not a 9 to 5 job. This is a startup environment with a give-it-all mentality.
  • Work with some of the best minds in the industry: You will be part of a team of seasoned entrepreneurs and product leaders who are on a mission to make a difference in the SME space. You will have the chance to work with some of the best minds in the industry.
  • Supportive and collaborative work environment: We believe in creating a supportive and collaborative work environment where our employees can thrive.
  • Competitive compensation: We offer a competitive compensation package, with salaries ranging from [$6,000.00 to $8,000.00 monthly], payable in USD.

Required profile

Experience

Level of experience: Expert & Leadership (>10 years)
Industry :
Private Equity & Venture Capital
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Problem Solving
  • Organizational Skills
  • Team Leadership
  • Entrepreneurship
  • Time Management
  • Verbal Communication Skills
  • Analytical Thinking

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