Google Cloud Vertex AI Engineer_Application Support
Lecan Solutions · Pune · hybrid · Posted today
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About this role
Hiring: Google Cloud Vertex AI Engineer Application Support
Location: PAN INDIA
Experience: 6+ Years
Relevant Experience: Minimum 5 Years in Google Cloud Vertex AI Model Development
Education: 15 Years of Full-Time Education
Employment Type: Full-Time
Must-Have Skill: Google Cloud Vertex AI Model Development
Job Summary
We are looking for an experienced Application Support Engineer with strong expertise in Google Cloud Vertex AI Model Development.
The candidate will be responsible for identifying and resolving technical issues, supporting critical business applications, monitoring system performance, and ensuring smooth application operations.
The candidate should also have a good understanding of Generative AI, Agentic AI, Prompt Engineering, and AI Evaluation Frameworks. They should be able to use AI capabilities to meet business requirements while ensuring scalability, responsible usage, and business value.
Roles & Responsibilities
- Act as a Subject Matter Expert (SME) for Google Cloud Vertex AI Model Development.
- Work with and guide the team to achieve project goals.
- Take responsibility for technical and team-related decisions.
- Collaborate with multiple teams and contribute to important technical decisions.
- Identify and resolve technical issues across applications and systems.
- Provide solutions to problems within the team and across multiple teams.
- Conduct knowledge-sharing sessions to improve team capabilities.
- Monitor system performance and proactively resolve potential issues.
- Support continuous improvement of applications and processes.
Required Skills & Qualifications
- Strong hands-on experience in Google Cloud Vertex AI Model Development.
- Good understanding of cloud computing concepts and architecture.
- Experience in machine learning model deployment and management.
- Knowledge of data processing and analysis tools.
- Ability to troubleshoot and resolve technical issues.
- Strong understanding of Generative AI and Agentic AI.
- Knowledge of Prompt Engineering and AI Evaluation Frameworks.
- Ability to align AI solutions with business requirements.
- Understanding of scalability and responsible AI usage.
Eligibility Criteria
- Minimum 5 years of experience in Google Cloud Vertex AI Model Development.
- 15 years of full-time education is mandatory.
- Work location: Bengaluru.
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About Lecan Solutions

Lecan Solutions
Recruitment
51-200
employees
2004
22 years old
Naraina
IN
₹2.7L PA avg
Avg at Lecan Solutions
About
Job Description Python Spark Developer
Position
Python Spark Developer
Experience
3 to 7 Years
Work Location
- Chennai – Sholinganallur SEZ
- Bangalore – RMZ Ecoworld, Bellandur
Job Summary
We are seeking a highly skilled Python Spark Developer with strong expertise in big data technologies and distributed data processing. The ideal candidate should have hands-on experience in Python, Apache Spark, SQL, Unix Shell Scripting, and Airflow, along with a solid understanding of the Hadoop ecosystem.
The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data processing applications while collaborating with cross-functional teams and mentoring junior developers.
Key Responsibilities
- Develop and maintain scalable applications using Python and Apache Spark.
- Design and implement data processing pipelines using:
- Spark Core
- Spark SQL
- Spark Streaming
- Work extensively with the Hadoop Ecosystem for distributed data processing.
- Perform data manipulation, transformation, and analysis using Pandas.
- Develop and manage workflows using Apache Airflow.
- Write efficient and optimized SQL queries and Unix Shell scripts.
- Design low-latency, high-availability, and high-performance applications.
- Perform coding, testing, debugging, troubleshooting, and deployment activities.
- Monitor and optimize application performance, scalability, and usability.
- Implement automation and performance tuning solutions.
- Lead and mentor junior Python developers and provide technical guidance.
- Collaborate with stakeholders, architects, analysts, and development teams to deliver quality solutions.
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