Technical Architect

Hitachi

Job Title: Senior Solutions Architect

Designation: Senior Researcher / Chief Researcher

Duties and Responsibilities

1. Research and Develop Innovative Use Cases, Solutions and Architectural Blueprints in support of Hitachi's cross-industry business needs like Energy, Industry, Mobility, Smart Life, and Information Technology.

2. Design, Implement and Demonstrate proof-of-Concept and working proto-types for Hitachi and its clients.

3. Provide R&D support to Hitachi business units and group companies to productize research prototypes.

4. Explore emerging tools, techniques, and technologies, and work with academia for cutting-edge solutions.

5. Collaborate with cross-functional teams and eco-system partners for mutual business benefit.

6. Generate eminence via patents, publications, thought leadership, invited speakerships and conspicuous presence in forums of repute.

7. Add value to self through continuous learning and knowledge acquisition.

8. Give back learnings to colleagues and communities.

9. Mentor colleagues for growth and success.

Mandatory Requirements

1. Academic Qualification: Bachelor's degree with STEM background (e.g., Science, Technology, Engineering and Management).

2. Solution Architecture: Deep Experience in Design and Development of Enterprise-class information technology systems (e.g., Design Thinking, Use Case Development, Model Driven Development, Agile Methodology, end-to-end System Design and Decomposition).

3. Probabilistic Systems: Clear concept of systems that embed Machine Learning and Artificial Intelligence.

4. Technology Hands-on: Proven track record in at least one of following 3 technology groups

a. Front-end, client-end experience: User Interface Development (JavaScript, AJAX, Angular, React, D3); Human Computer Interface design

b. Server-side Engineering: Object-Oriented Programming, Micro-Services, Springboot, REST APIs, Design Patterns, Data Access Frameworks, proficiency in Java/ C++/Python

c. Data Engineering and Persistence (in any one of the below areas): Design and Development of Relational Databases; Big Data Systems (e.g., Data Lakes, Hadoop, Hive); In-Memory systems (SAP-HANA); Graph databases (e.g., Neo4J, Casandra); Data Ingestion and ETL

5. Cloud: Experience in design and deployment of IT solutions on Cloud (e.g., Dockerization, Containerization)

6. Communication: Ability to articulate key messages concisely and precisely

7. Collaboration: Excellent interpersonal and teaming skills

Additional Preference

1. Advanced Qualification: PhD in any Quantitative Discipline

Eminence: Patents, publications, thought leadership, invited speakership and conspicuous presence in refereed platforms or forums of repute.

Experience :15+years

Budget : 60 -70 Lacs(Depending upon Experience)

Location: Bangalore

What you need to have:

Responsibilities

• Design and implement features spanning across systems in a manner that satisfies requirements of performance, scale, security and robustness
• Contribute to improvement of technology and execution processes in the company
• Collaborate in setting technology standards with technology leaders across the company
• Serve as a knowledge center on current and emerging technologies, and help train others when required
• Foster a strong technical culture by mentoring other engineers
• Keep up to date with the latest technologies, evaluate new tools

Relevant Experience and Qualifications 

• Demonstrated expertise in system-level design of large scale distributed systems on the Java stack, and experience with web services and service oriented architectures
• Solid experience with Spring (Core/Boot/Security/MVC/Data)
• Have 8 - 12  years of professional experience in software development.
• Extensive experience with modern open source systems including relational / non relational data stores and bigdata processing
• Experience with AWS stack, at least the common datastores and services 
• Experience with containerization technologies and concepts including Docker
• Basic knowledge about security concepts and secure coding
• Excellent analytical, conceptual and communication skills in spoken and written English.
• Experience leading projects developed across continents.

Great to have Experience and Qualifications 

• Knowledge of machine learning concepts, and some hands-on experience implementing machine learnt models
• Experience with infrastructure design for cloud based apps, especially AWS.
• Past experience with information and data security standards (PCI-DSS, ISO27000) very nice to have.

 

What you need to have:

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