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• The role will be part time (15-20 hours per week) with scheduled weekend availability.
• LINC Fellows will be “actively engaged” when a unit (subject) is assigned. A unit will range from 7 to 14 weeks at a time.
• LINC Fellows are required to provide 2-3 hrs each afternoon (between noon to 5pm) every day when they are supporting students.
• Candidate will have flexibility to work from location of his/her convenience.

• Interacting with high-quality global university faculty
• Working with a diverse range of international students
• Developing deeper subject understanding
• Gaining richer academic exposure
• Improving interpersonal and cross-cultural skills

• PG/Doctoral degree with distinction or first-class from a top university in India
• 5-10 years of corporate experience and/or teaching experience in the fields like Marketing, Finance, Operations, Organization/HR, Data Analytics, Project Management, Strategy and Ethics at a leading university or college (note: at least 1 year formal teaching experience at a university of college is a MUST).
• Empathetic, ambitious, warm and outgoing personality willing to work closely with people from diverse culture
• Proficient in English language
• Must possess a working laptop and have access to high-speed (>2 MBPS) stable internet connection
• Ability to quickly learn and use technology platforms for interacting with student including host university’s Learning Management System and LINC's technology platform (training on these platforms will be provided)

Strong Behavioral Research / Behavioral Insights / Consumer Behavior Research Profiles

Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior

Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research

Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements

Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation

Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology

Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness

Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams

Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role

Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)

Candidates from institutes with strong behavioral research exposure are preferred

Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms

Mandatory (Note):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights

Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Experience: 8-15 Years

Qualification: BE / B. Tech 

Location: Pune, Remote

Technical Know -How: React.js/ReactJs, Java Spring Boot, Spring Framework, Java Spring developers, Rest API, Microservices, front end and Back-end technologies etc.

Key Responsibilities

• Work with team of Java & Springboot Developers in the design, development, and maintenance of applications.
• Work with business stakeholders and technical teams to gather and analyze requirements for Java & Springboot applications.
• Lead a team of developers in building scalable, secure, and high-performance applications using React and Spring Boot.
• Drive end-to-end ownership of application development including requirement analysis, design, coding, testing, and deployment.
• Collaborate with product owners, architects, and cross-functional teams to define and deliver high-quality solutions.
• Ensure adherence to coding standards, best practices, and agile development methodologies.
• Mentor and guide team members, conduct code reviews, and encourage technical excellence.
• Oversee application performance tuning, debugging, and troubleshooting in production and non-production environments.
• Participate in architectural discussions and contribute to technology roadmaps.

Required Skills & Experience

• Bachelor’s degree in computer science, computer engineering or similar.
• Excellent communication skills.
• Critical thinker and good problem-solver.
• 8–15 years of overall software development experience, with at least 3 + years in a lead/mentorship role.
• Strong proficiency in React.js, JavaScript/TypeScript, HTML5, CSS3, Redux, and related libraries/frameworks.
• Solid backend development experience using Spring Boot, Spring Security, REST APIs, and Microservices architecture.
• Strong understanding of Test Driven Development ( Junit)
• Write efficient and well-structured code to implement business logic and functionality on the Java platform.
• Perform unit testing and debugging to ensure the quality and reliability of developed applications.
• Maintain and enhance existing Java & Springboot applications by troubleshooting issues, implementing bug fixes, and optimizing performance.
• Strong understanding of RDBMS/NoSQL databases (e.g., MySQL, MongoDB / Azure Cosmos DB).
• Experience with cloud platforms (AWS / Azure / GCP) and containerization (Docker, Kubernetes).
• Proficiency in version control (Git), CI/CD pipelines, and DevOps practices.
• Strong problem-solving skills, debugging expertise, and performance optimization experience.
• Excellent communication and leadership skills with the ability to drive technical discussions
• Good knowledge of security best practices (OAuth2, JWT, SSO, etc.).
• Good to have experience with message brokers (Kafka, Azure Service Bus).

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

As a software tester, you'll be involved in the quality assurance stage of software development and deployment. You'll conduct automated and manual tests to ensure the software created by developers is fit for purpose and any bugs or issues are removed within a product before it gets deployed to everyday users. Your role is integral to the creation of software systems and technical products. You'll need to be familiar, or become familiar with, programming and using coding languages.

Responsibilities:

• Extensively working on Manual Testing/API Testing/Functional or UI Testing.
• Develop test strategies and test plans for projects.
• Participate in developing and reviewing the test policies for the organization.
• Defining the scope of testing within the context of every release and every software testing level or cycle.
• The use of resources in an effective way and managing the resources for software testing.
• Applying the appropriate test measurement and metrics for the software product and testing team.
• Designing test scenarios for software usability, running these tests, and preparing reports on the effectiveness and defects to the production team.

Requirements:

• Minimum 6 years-10 years of related work experience in API and Functionality testing preferably in the Payments domain.
• Ability to work in a high-performance environment.
• Must be a Graduate in B. E/BSC. IT/BCA or Equivalent.

Requirements : 

a) CSS / Bootstrap : Flex Layout/ability to demonstrate the cascading nature of CSS clearly with example/Positioning.

b) Pure JavaScript: Prototype chain and inner workings of inheritance in JS. Understood DOM, Events, Event Bubbling, and Capturing/ ability to demonstrate it with example/ Promises and their use cases.

c) TypeScript: Basic understanding of using TS. Union Types, Index Signatures,

d) REST: Backend experience. REST principles, URL structures for APIs. integration using native JS (fetch and Promises) and in Angular. use cases of getting vs POST vs PUT vs PATCH.

e) Angular :  Abstractions of Angular Component, Service, Pipe, Directive, Module, Lifecycles. Knew advanced patterns as well Dynamic Components, Content Projection, Reactive Forms, ViewChild, ContentChild. Understood Observables and various operators demonstration of Design Skills ability to create the component and module hierarchy for a moderately complex application, along with their interactions

Required Skills Description

Experience Level:- 4 –7 Years of Experience

Mandatory Skills –

1. Good Coding Skills
2. Hands-on Experience Angular or React or Vue or Typescript
3. Sound knowledge on RESTFUL APIs
4. Should have executed projects where .Net and Microsoft technologies have been used and should have a good understanding of the same.

Secondary Skills

• Knowledge .Net Core, WEB API framework
• Knowledge of HTML and CSS
• SQL Server and PL/SQL
• Understanding of Design Patterns

Interpersonal Skills

1. Good in communications (Verbal and Written)
2. Should have worked individually or in team

Minimum 4 years exp 

Skillsets:

1. Build automation/CI: Jenkins
2. Secure repositories: Artifactory, Nexus
3. Build technologies: Maven, Gradle
4. Development Languages: Python, Java, C#, Node, Angular, React/Redux
5. SCM systems: Git, Github, Bitbucket
6. Code Quality: Fisheye, Crucible, SonarQube
7. Configuration Management: Packer, Ansible, Puppet, Chef
8. Deployment: uDeploy, XLDeploy
9. Containerization: Kubernetes, Docker, PCF, OpenShift
10. Automation frameworks: Selenium, TestNG, Robot
11. Work Management: JAMA, Jira
12. Strong problem solving skills, Good verbal and written communication skills
13. Good knowledge of Linux environment: RedHat etc.
14. Good in shell scripting
15. Good to have Cloud Technology : AWS, GCP and Azure