Kochi
1 day ago
Lead I - Software Engineering

Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes:

     Interpret the application/feature/component design to develop the same in accordance with specifications.      Code debug test document and communicate product/component/feature development stages.      Validate results with user representatives; integrates and commissions the overall solution      Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions      Optimises efficiency cost and quality.      Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures of Outcomes:

     Adherence to engineering process and standards (coding standards)      Adherence to project schedule / timelines      Number of technical issues uncovered during the execution of the project      Number of defects in the code      Number of defects post delivery      Number of non compliance issues On time completion of mandatory compliance trainings

Outputs Expected:

Code:

Code as per design Follow coding standards
templates and checklists Review code – for team and peers


Documentation:

Create/review templates
checklists
guidelines
standards for design/process/development Create/review deliverable documents. Design documentation
r and requirements
test cases/results


Configure:

Define and govern configuration management plan Ensure compliance from the team


Test:

Review and create unit test cases
scenarios and execution Review test plan created by testing team Provide clarifications to the testing team


Domain relevance:

Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications


Manage Project:

Manage delivery of modules and/or manage user stories


Manage Defects:

Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality


Estimate:

Create and provide input for effort estimation for projects


Manage knowledge:

Consume and contribute to project related documents
share point
libraries and client universities Review the reusable documents created by the team


Release:

Execute and monitor release process


Design:

Contribute to creation of design (HLD
LLD
SAD)/architecture for Applications/Features/Business Components/Data Models


Interface with Customer:

Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos


Manage Team:

Set FAST goals and provide feedback Understand aspirations of team members and provide guidance
opportunities
etc Ensure team is engaged in project


Certifications:

Take relevant domain/technology certification

Skill Examples:

     Explain and communicate the design / development to the customer      Perform and evaluate test results against product specifications      Break down complex problems into logical components      Develop user interfaces business software components      Use data models      Estimate time and effort required for developing / debugging features / components      Perform and evaluate test in the customer or target environment      Make quick decisions on technical/project related challenges      Manage a Team mentor and handle people related issues in team   Maintain high motivation levels and positive dynamics in the team.   Interface with other teams designers and other parallel practices   Set goals for self and team. Provide feedback to team members   Create and articulate impactful technical presentations   Follow high level of business etiquette in emails and other business communication   Drive conference calls with customers addressing customer questions    Proactively ask for and offer help   Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.   Build confidence with customers by meeting the deliverables on time with quality.   Estimate time and effort resources required for developing / debugging features / components   Make on appropriate utilization of Software / Hardware’s.   Strong analytical and problem-solving abilities

Knowledge Examples:

     Appropriate software programs / modules      Functional and technical designing      Programming languages – proficient in multiple skill clusters      DBMS      Operating Systems and software platforms      Software Development Life Cycle      Agile – Scrum or Kanban Methods      Integrated development environment (IDE)      Rapid application development (RAD)   Modelling technology and languages   Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved

Additional Comments:

UST is looking for Coveo Search Engineer with below requirements, The Search Engineer will be responsible for designing, implementing, and optimizing search capabilities using Coveo and other AI-powered search tools. This role will drive search strategy, ensuring an intuitive and efficient search experience across various platforms. The engineer will collaborate with stakeholders, developers, and UX teams to refine search relevance, enhance user engagement, and explore innovative search solutions, including AI-driven recommendations. Additionally, the role involves analyzing search data, implementing SEO best practices, and recommending emerging technologies to improve knowledge discovery and accessibility. Essential Functions and Responsibilities Search Strategy & Optimization (50%) • Drive search strategy and provide strategic direction to enhance search capabilities and user experience. • Optimize Coveo search performance to align with application needs, ensuring high relevancy and efficiency. • Work closely with stakeholders to improve search taxonomies, tagging, and recommendations across content types, including expert profiles, documents, and multimedia. • Assist product owners and UX designers in crafting effective search interfaces for an enhanced user experience. • Partner with development teams in implementing new search features, facets, and personalization within Coveo. • Evaluate and recommend new alternative search tools based on AI to enhance search capabilities. • Stay updated with Coveo AI and machine learning capabilities to drive search innovation. Search Analytics (10%) • Generate and present reports for executive leadership that analyze search trends, patterns, and performance metrics. • Utilize Coveo Analytics and other web analytics tools to monitor and optimize search results. • Recommend improvements based on user behavior insights, search logs, and content performance data. • Track and report on search KPIs such as click-through rates, zero-result searches, and query refinements. Search Operations (40%) • Work with engineers to identify and implement improvements in search functionalities. • Conduct regular site audits and indexing reviews to ensure optimal visibility and performance. • Support content teams with Coveo-specific SEO best practices, including metadata structuring, keyword optimization, and content tagging. • Assist in new product launches, site re-designs, and CMS rollouts to ensure seamless search integration. • Implement and refine search ranking algorithms, tuning relevance models, and applying AI-driven recommendations. • Stay informed on Coveo updates, industry trends, and emerging search technologies, sharing knowledge with the team. Qualifications & Skills: • 5+ years of experience working with Coveo search technology or similar search platforms. • Experience with Azure AI Search or similar cloud-based search solutions is a plus, particularly in leveraging AI-driven search enhancements and integrating with enterprise applications. • Strong understanding of search ranking models, query pipelines, and indexing strategies. • Experience with Coveo Machine Learning (CML) models, relevance tuning, and query pipelines. • Proficiency in SEO principles, metadata structuring, and content optimization. • Familiarity with web analytics tools such as Google Analytics, Coveo Analytics, or similar. • Experience working with APIs, RESTful services, and front-end integrations. • Excellent written and verbal communication skills.

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