Software Architect I

Leverage expertise in a technology area (e. g. Big Data Cluster) and responsible for Architecture for small to mid size projects.

Outcomes:

1. Design and develop the framework; be the technical owner for a project in one technology area
2. Guide and review technical delivery by internal teams
3. Resolve design issues and deliver/own design for a complex module for projects of the following nature: architecture enhancements small sized development and maintenance projects
4. Review design and code ensuring adoption of industry best practices

Measures of Outcomes:

1. Number of reusable components / processes developed
2. Number of times components / processes reused
3. Delivery efficiency (Adherence to UST defined principles)
4. Contribution to technology capability development (e. g. Training Webinars Blogs)
5. Customer feedback on overall technical quality (zero technology related escalations)
6. Number of white papers/document assets contributed to
7. Relevant technology certifications
8. Business Development number of proposals contributed to as applicable)
9. Feedback from Project Team/Program Management on project support

Outputs Expected:

Solution Definition & Design:

1. Define Architecture for small/mid-sized type of projects
2. Design the technical framework and implement the same
3. Identify and conduct design of complex sub-components /module in collaboration with project team
   architects and client SME
4. Present the detailed design documents to relevant stakeholders and seek feedback
5. Undertake project specific Proof of Concepts activities to validate technical feasibility with guidance from the Application Architect
6. Implement best optimized solution and resolve performance issues
7. Support the team in the design of functional modules and review deliverables
8. Conduct code reviews

Requirement gathering and Analysis:

1. Understand the functional and non-functional requirements
2. Collect non-functional requirements (such as response time
   throughput numbers
   user load
   etc. ) through discussions with SMEs and business users
3. Identify technical aspects as part of story definition
   especially at an architecture / component level

Project Management Support:

1. Share technical inputs from Agile/project planning perspective with SCRUM Master / Project Manager
2. Help SCRUM Masters / Project Managers to understand the technical risks and come-up with mitigation strategies
3. Help developers overcome technical challenges

Technology Consulting:

1. Analysis of technology landscape
   process and tools based on project objectives

Business and Technical Research:

1. Understand application architecture and its criticality to: analyze and assess tools (internal/external) on specific parameters
2. Understand application architecture and its criticality to: Support Architect/Sr. Architect in drafting recommendations based on findings contained within Proof of Concept
3. Understand application architecture and its criticality to: analyze and identify new developments in existing technologies (e. g. methodologies
   frameworks
   accelerators
   etc. )
4. Understand application architecture and its criticality to: document the new developments (e. g. report
   white paper
   national/ international publications) to build team capabilities.

Project Estimation:

1. Provide support for project estimations for business proposals and support sprint level / component level estimates
2. Articulate estimation methodology and module level estimations for more standard projects with focus on effort estimation alone

Proposal Development:

1. Contribute to proposal development of small to medium size projects from technology/architecture perspective

Knowledge Management & Capability Development:

1. Conduct technical trainings and webinars to impart knowledge to relevant application development/ project teams
2. Create collaterals (e. g. case study
   business value documents
   summary
   etc. )
3. Post in blogs / interviews to share expertise
4. Gain industry standard certifications on technology and architecture consulting
5. Contribute to knowledge repository and tools
6. Creating reference architecture model
   reusable design patterns and mining reusable components from the project
7. Partner with UST Gamma to create curriculum
   assessments; etc. ; conduct training
8. Create KT Packages for new team members

Testing Support:

1. Suggest unit test automation strategies using appropriate frameworks

Process Improvements / Delivery Excellence:

1. Identify avenues to improve project delivery parameters (e. g. productivity
   efficiency
   process
   security
   etc. ) by leveraging tools
   automation
   etc.
2. Understand various technical tools used in the project (third party as well as home-grown) to improve efficiency
   productivity

Audit:

1. Conduct cross project technical audits and reviews
   across multiple accounts
   as required to check adherence to architecture
   design and coding best practices

Skill Examples:

1. Use domain/ industry knowledge to understand business requirements. Create POC to meet business requirements under guidance
2. Use technology knowledge to analyse technology based on clients specific requirement analyse and understand existing implementations. Work on simple technology implementations (POC) under guidance guide the developers and enable them in the implementation of design into working software in the technology
3. Use knowledge of Architecture Concepts and Principles to provide inputs to the practitioner towards building component solutions and deploy the solution as per the architecture under guidance
4. Use knowledge of Design Patterns Tools and Principles to create low level design under guidance from the Architect for the given business requirements Review low level design created by team for maintainability (error handling ing etc. ) of design define technical checklists for design and coding
5. Use knowledge of Software Development Process Tools & Techniques/Scrum tools to increase productivity and develop efficient code. Constantly check for reusability of codes design and develop complex assets and provide technical consultancy related to these areas
6. Use knowledge of Project Management Tools and Techniques to provide inputs in project management activities (e. g. reporting reviewing documents audit compliance reports providing status). Raise concerns within own area of work in a timely manner and implement the same under guidance
7. Use Project Governance Framework to facilitate communication with the right stakeholders and Project Metrics to help them understand their relevance in project; and to share inputs on project metrics with the relevant stakeholders for own area of work
8. Use Estimation and Resource Planning knowledge to help estimate and plan resources for specific modules / small projects with detailed requirements in place
9. Use Knowledge Management Tools & Techniques to participate in the knowledge management process (such as Project specific KT). Consume and contribute to the knowledge management repository
10. Use knowledge of Technical Standards Documentation & Templates to understand and interpret the documents provided
11. Use Requirement Gathering and Analysis knowledge to analyse requirements (functional/ non -functional) and functionality raise clarifications/ambiguities create requirement documents (such as traceability matrix bridge documents etc. ) under supervision. Provide inputs/ create estimates and solutions (based on the size of the project) create design documents identify impacted areas based on the change requests understand the data and model the requirements based on requirements
12. Use Solution Structuring knowledge to understand the proposed solution. Provide inputs to create draft proposals/ RFP (including effort estimation scheduling resource loading etc. )

Knowledge Examples:

• Domain/ Industry Knowledge: Basic knowledge of standard business processes within the relevant industry vertical and customer business domain
  1. Technology Knowledge: Working knowledge of sub-portion in a technology area related to own area of work (e. g. Java/JEE 5+ Microsoft technologies or Mainframe/legacy); sub-set of frameworks (Struts JSF Hibernate Spring) etc. sufficient enough to implement end-to-end application related to own area of work; low level details such as data structures algorithms within one technology stack; configuration parameters for successful deployment within one technology stack
  2. Architecture Concepts and Principles: Basic knowledge of standard architectural principles models patterns (e. g. SOA N-Tier EDA etc. ) and perspective (e. g. TOGAF Zachman etc) integration architecture including input and output components existing integration methodologies and topologies source and external system non functional requirements data architecture deployment architecture and architecture governance
  3. Design Patterns Tools and Principles: Working knowledge of design patterns principles patterns and tools
  4. Software Development Process Tools & Techniques: Specialized knowledge of SDLC process (Agile and Traditional) SDLC methodology programming principles best practices (refactoring code code package etc. )
  5. Project Management Tools and Techniques: Basic knowledge of: project management process (such as project scoping requirements management change management risk management quality assurance disaster management etc. ) tools (MS Excel MPP Client specific time sheets capacity planning tools etc. )
  6. Project Management: Basic understanding of project governance structure awareness of basic project metrics like effort and defect quality metrics
  7. Estimation and Resource Planning: Working knowledge of estimation and resource planning techniques (e. g. TCP estimation model) UST specific estimation templates
  8. Knowledge Management Tools & Techniques
  9. Basic knowledge of industry knowledge management tools (such as portals wiki) UST and customer knowledge management tools techniques (such as workshops classroom training self-study application walkthrough and reverse KT)
  10. Technical Standards Documentation & Templates: Basic knowledge of various document templates and standards (such as business blueprint design documents and test specifications)
  11. Requirement Gathering and Analysis: Demonstrates working knowledge of requirements gathering for ( non functional) requirements analysis for functional and non functional requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard) techniques (business analysis process mapping etc. ) and requirements management tools (e. g. MS Excel)
  
  

  We are looking for an experienced Solution Architect to lead the design, development, and implementation of scalable, robust, and high-performing software solutions. The ideal candidate will have hands-on expertise across a wide range of technologies, including front-end, back-end, databases, big data, and cloud solutions. They will be responsible for defining the technical architecture, ensuring alignment with business goals, and mentoring development teams to deliver high-quality solutions. Key Responsibilities: 1. Solution Architecture and Design: Define and document end-to-end architecture for enterprise-level systems. Design scalable, secure, and high-performing solutions using Angular, Node. js, Java, Python, and React Native. Ensure seamless integration between front-end, back-end, and database systems, including SQL, MongoDB, Oracle, Elastic DB, and Redis. 2. Cloud and Big Data Solutions: Architect and implement cloud-based solutions using AWS Glue, AWS EMR, AWS Lambda, and AWS Elasticsearch. Leverage Spark and big data technologies for real-time data processing and analytics. 3. Technical Leadership: Provide technical direction to development teams, ensuring adherence to best practices and coding standards. Lead proof-of-concept (POC) efforts to evaluate new technologies and approaches. Collaborate with DevOps teams to optimize CI/CD pipelines. 4. Database Management: Design and optimize database schemas for relational (SQL, Oracle) and NoSQL (MongoDB, Redis) systems. Implement indexing, caching, and query optimization strategies. 5. Cross-Functional Collaboration: Work closely with stakeholders, including product managers and business teams, to gather requirements and translate them into technical solutions. Collaborate with QA teams to define testing strategies and ensure quality deliverables. 6. Performance Optimization and Security: Conduct performance tuning for applications, databases, and cloud services. Implement security best practices, including data encryption, authentication, and secure API design. 7. Documentation and Mentorship: Create detailed technical documentation, including architectural diagrams, workflows, and user guides. Mentor junior developers and engineers, fostering a culture of continuous learning. Key Skills and Competencies: Technical Skills: Front-End: Angular, React Native. Back-End: Node. js, Java, Python. Databases: SQL, Oracle, MongoDB, Elastic DB, Redis. Big Data and Cloud: Spark, AWS Glue, AWS EMR, AWS Elasticsearch, AWS Lambda. DevOps Tools: CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Integration: RESTful APIs, WebSocket, and GraphQL. Soft Skills: Strong problem-solving and decision-making abilities. Excellent communication and collaboration skills. Ability to lead cross-functional teams and drive consensus.