Software Architect (Remote)- 2119
Chennai, India
CES
CES delivers high-quality solutions tailor-made to client-specific needs by bringing the best of consulting, operations, and technology expertise.Ideal Candidate:
Bachelor's degree in software engineering, computer science or related discipline
1+ years experience in Generative AI engineering (e.g. prompt engineering)
3+ years experience in MLOps environment
5+ years experience as an application Architect with a hands-on experience designed and implementing cloud based solutions
5+ years experience in project management (e.g. Jira, Git/GitHub)
5+ years experience with the technical skills of:
Proficiency in application architecture patterns, API design, and event-driven systems.
Strong knowledge of cloud platforms (AWS, Azure, GCP).
Data Modeling (e.g., UML), Data Management (e.g. SQL Server, NoSQL)
Expertise in relevant programming languages (e.g. Java, Python, JavaScript, etc.).
Responsibilities
Machine Learning and Generative AI: Proven hands-on experience in generative AI in areas such as prompt engineering. Experience in designing, building and maintaining a MLOps environment.
Architectural Design: Develop and communicate the overall application architecture in a distributed cloud environment, including patterns, best practices, and guidelines.
Data Modeling: experience in data modeling for applications leveraging advanced analytic query generation typically found in descriptive queries.
Solution Development: Lead the design and implementation of distribute cloud (e.g. microservices-based) applications, considering scalability, security, and performance.
Technology Evaluation: Stay abreast of industry trends and evaluate emerging technologies, frameworks, and tools relevant to microservices.
Collaboration: Work closely with cross-functional teams, including developers, product managers, and DevOps engineers.
Governance and Standards: Establish and enforce architectural governance, ensuring adherence to standards and best practices.
Performance Optimization: Identify bottlenecks, optimize services, and enhance system performance.
Security and Compliance: Ensure microservices solutions meet security and compliance requirements.
Mentorship: Providing guidance and mentorship to junior architects and developers.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure Computer Science Consulting Data management DevOps Engineering FinTech GCP Generative AI Git GitHub Java JavaScript Jira Machine Learning Microservices MLOps NoSQL Prompt engineering Python Security SQL
Perks/benefits: Career development
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