Python Architect GCP
Listed on 2026-06-26
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Software Development
Python, Software Architect, Full Stack Developer, DevOps
Seeking an experienced Associate Principal with 12 to 15 years of expertise in Python development specializing in React, Python, and GCP technology stack to lead and architect scalable cloud native applications.
Job Description- Lead the design and development of scalable, secure, and high-performance applications using Python within a React, Python, and GCP technology cluster.
- Collaborate with cross‑functional teams to define technical architecture and ensure alignment with business goals.
- Drive innovation and best practices in cloud‑native application development on Google Cloud Platform.
- Mentor and guide senior and junior engineers, fostering technical excellence and continuous learning.
- Evaluate and adopt new technologies and tools to enhance development efficiency and application reliability.
- Oversee the full software development lifecycle, ensuring high‑quality deliverables and adherence to timelines.
- Engage in strategic planning and contribute to the technology roadmap development within the React, Python, and GCP domain.
- Ensure robust application security, scalability, and performance through design and code reviews.
- Facilitate effective communication between technical teams and stakeholders to achieve project objectives.
- Own end‑to‑end technical leadership for Python‑based application development, including requirement analysis, design, implementation, testing, deployment, and support.
- Architect and develop microservices and cloud‑native services leveraging Google Cloud Platform capabilities.
- Provide technical guidance and code review to ensure adherence to coding standards and best practices.
- Troubleshoot and resolve complex technical challenges in development and production environments.
- Collaborate with product owners, architects, and other stakeholders to translate business requirements into robust technical solutions.
- Lead and participate in architectural discussions, technology evaluations, and decision‑making processes.
- Drive continuous improvement initiatives to optimize application performance, reliability, and scalability.
- Foster a culture of ownership, accountability, and innovation within the development teams.
Variable Compensation:
This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.
- Comprehensive Medical Plan covering Medical, Dental, and Vision.
- Short‑Term and Long‑Term Disability Coverage.
- 401(k) Plan with Company match.
- Life Insurance.
- Paid Paternity and Maternity Leave.
- Vacation Time, Sick Leave, and Paid Holidays.
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job‑related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation, such as an annual performance‑based bonus, sales incentive pay, and other forms of bonus or variable compensation.
Disclaimer:
The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family‑care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
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