About Linarc:
Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered.
Built for general contractors, construction managers, and trade partners, Linarc is a next-generation platform that brings unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability—helping teams deliver projects faster, smarter, and with greater control.
Join us and be part of a high-impact, fast-growing team that’s shaping the future of construction tech. If you thrive in a dynamic environment and want to make a real difference in the industry, Linarc is the place to be.  This is a full-time position and you will be working out of our HQ in Chennai.


Job DescriptionJob Title:&nbsp;Data ScientistLocation:&nbsp;Bengaluru / ChennaiExperience:&nbsp;3+ Years About Linarc:Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered.Built for general contractors, construction managers, and trade partners, Linarc is a next-generation platform that brings unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability—helping teams deliver projects faster, smarter, and with greater control.Join us and be part of a high-impact, fast-growing team that’s shaping the future of construction tech. If you thrive in a dynamic environment and want to make a real difference in the industry, Linarc is the place to be. This is a full-time position and you will be working out of our Bengaluru office. Roles and Responsibilities:<ul><li>Data Analysis &amp; Modeling:</li><li class="ql-indent-1">Develop and implement machine learning models to solve business problems.</li><li class="ql-indent-1">Build predictive models and algorithms for customer behavior, product usage, and business outcomes.</li><li class="ql-indent-1">Conduct statistical analysis and hypothesis testing to uncover insights.</li><li>Data Engineering &amp; Processing:</li><li class="ql-indent-1">Clean, preprocess, and transform large-scale datasets from multiple sources.</li><li class="ql-indent-1">Develop and optimize data pipelines for real-time and batch processing.</li><li>Business Insights &amp; Reporting:</li><li class="ql-indent-1">Collaborate with business teams to define key performance indicators (KPIs).</li><li class="ql-indent-1">Develop dashboards and reports to communicate findings and performance.</li><li class="ql-indent-1">Present insights and recommendations to stakeholders and leadership.</li><li>Product Improvement:</li><li class="ql-indent-1">Partner with product managers to integrate data-driven insights into product features.</li><li class="ql-indent-1">Monitor model performance and continuously improve accuracy and scalability.</li><li class="ql-indent-1">Run A/B tests to evaluate the impact of product changes.</li><li>Research &amp; Development:</li><li class="ql-indent-1">Stay updated with the latest developments in machine learning, AI, and data science.</li><li class="ql-indent-1">Explore and implement new data science techniques and tools to improve outcomes.</li></ul> Qualifications:<ul><li>Minimum 3+years of professional experience in Data Analytics/ Data Science/ AI/ Machine Learning.</li><li>Deep analytical expertise in applying statistical solutions to business problems.</li><li>Experience with exploratory data analysis with large data sets using SQL, Hive, Spark, or other tools.</li><li>ML/DL tools, Scikit-learn, Tensorflow or PyTorch and proficiency in one or more statistical techniques: Neural Networks, Gradient Boosting, Linear &amp; Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.</li><li>Experience working with visualization tools such as Tableau and Power BI.</li><li>Demonstrated ability to innovate solutions and solve business problems.</li></ul> What will also help:<ul><li>Four or more years of experience in data science or machine learning in a product-focused environment.</li><li>Four or more years of experience with one or more: C, Python, PyTorch, Java, JavaScript, NodeJs, ReactJs, VueJs.</li><li>Four or more years of experience with relational or document databases.</li><li>Adept at hypothesis testing and regression analysis.</li><li>Experience in a SaaS product environment.</li><li>Bachelor’s / Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.</li></ul>

Job Title: Senior Data ScientistLocation: BengaluruExperience: 8+ Years About Linarc:Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered.Built for general contractors, construction managers, and trade partners, Linarc is a next-generation platform that brings unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability—helping teams deliver projects faster, smarter, and with greater control.Join us and be part of a high-impact, fast-growing team that’s shaping the future of construction tech. If you thrive in a dynamic environment and want to make a real difference in the industry, Linarc is the place to be. This is a full-time position and you will be working out of our Bengaluru office. Roles and Responsibilities:<ul><li>Data Analysis &amp; Modeling:</li><li class="ql-indent-1">Develop and implement machine learning models to solve business problems.</li><li class="ql-indent-1">Build predictive models and algorithms for customer behavior, product usage, and business outcomes.</li><li class="ql-indent-1">Conduct statistical analysis and hypothesis testing to uncover insights.</li><li>Data Engineering &amp; Processing:</li><li class="ql-indent-1">Clean, preprocess, and transform large-scale datasets from multiple sources.</li><li class="ql-indent-1">Develop and optimize data pipelines for real-time and batch processing.</li><li>Business Insights &amp; Reporting:</li><li class="ql-indent-1">Collaborate with business teams to define key performance indicators (KPIs).</li><li class="ql-indent-1">Develop dashboards and reports to communicate findings and performance.</li><li class="ql-indent-1">Present insights and recommendations to stakeholders and leadership.</li><li>Product Improvement:</li><li class="ql-indent-1">Partner with product managers to integrate data-driven insights into product features.</li><li class="ql-indent-1">Monitor model performance and continuously improve accuracy and scalability.</li><li class="ql-indent-1">Run A/B tests to evaluate the impact of product changes.</li><li>Research &amp; Development:</li><li class="ql-indent-1">Stay updated with the latest developments in machine learning, AI, and data science.</li><li class="ql-indent-1">Explore and implement new data science techniques and tools to improve outcomes.</li></ul> Qualifications:<ul><li>Minimum 7+years of professional experience in Data Analytics/ Data Science/ AI/ Machine Learning.</li><li>Deep analytical expertise in applying statistical solutions to business problems.</li><li>Experience with exploratory data analysis with large data sets using SQL, Hive, Spark, or other tools.</li><li>ML/DL tools, Scikit-learn, Tensorflow or PyTorch and proficiency in one or more statistical techniques: Neural Networks, Gradient Boosting, Linear &amp; Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.</li><li>Experience working with visualization tools such as Tableau and Power BI.</li><li>Demonstrated ability to innovate solutions and solve business problems.</li></ul> What will also help:<ul><li>Four or more years of experience in data science or machine learning in a product-focused environment.</li><li>Four or more years of experience with one or more: C, Python, PyTorch, Java, JavaScript, NodeJs, ReactJs, VueJs.</li><li>Four or more years of experience with relational or document databases.</li><li>Adept at hypothesis testing and regression analysis.</li><li>Experience in a SaaS product environment.</li><li>Bachelor’s / Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.</li></ul>

Job Title: Senior Product DesignerLocation: ChennaiExperience: 6+ years About Linarc:Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered.Built for general contractors, construction managers, and trade partners, Linarc is a next-generation platform that brings unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability—helping teams deliver projects faster, smarter, and with greater control.Our platform is built to scale — from mid-sized contractors to enterprise-level builders — and backed by a robust, high-performance data infrastructure. As we grow, we’re investing deeply in our data and analytics capabilities to power real-time decisions across field and office teams.This is your chance to help shape the future of construction tech by building resilient, scalable, and analytics-ready data systems at the core of Linarc’s product.Join us and be part of a high-impact, fast-growing team that’s shaping the future of construction tech. If you thrive in a dynamic environment and want to make a real difference in the industry, Linarc is the place to be. This is a full-time position and you will be working out of our HQ in Chennai. About the RoleLinarc is looking for a Senior Product Designer with strong expertise in UX research and design for SaaS and ERP platforms. In this role, you'll work on complex, high-impact problems across the construction industry. You'll collaborate with product, engineering, and business teams to design intuitive and powerful solutions that simplify construction project management and boost productivity. Experience in the construction industry is a strong plus.<ul><li>Lead and conduct user research interviews, surveys, Usability testing to drive product decisions.</li><li>Translate insights into elegant design solutions: user flows, wireframes, prototypes, and production-ready UI.</li><li>Design for complex enterprise use cases within ERP-style workflows.</li><li>Collaborate cross-functionally with PMs, engineers, and stakeholders to define features and user journeys.</li><li>Ensure usability and consistency through contributions to Linarc’s Design System.</li><li>Communicate research findings and design decisions clearly across the team.</li><li>Champion user-centered design practices across all product initiatives.</li></ul> Required Qualifications<ul><li>6+ years of experience in UX/Product Design, especially in SaaS and ERP environments.</li><li>Strong portfolio (mandatory) showcasing research-backed design work, especially for enterprise users.</li><li>Proficiency with design and research tools (e.g., Figma, Axure, Miro, Dovetail).</li><li>Deep understanding of UX principles, IA, interaction patterns, and usability testing.</li><li>Experience working in agile, cross-functional teams.</li><li>Excellent storytelling and communication skills.</li></ul> Nice to Have<ul><li>Background or design experience in the construction tech or related industries.</li><li>Degree or certification in Human Factors, HCI, Cognitive Psychology, or User-Centered Design.</li><li>Familiarity with accessibility standards (WCAG).</li><li>Experience with B2B tools in domains like logistics, finance, field services, or HR.</li></ul>

Job Title: Platform Engineer - Backend InfrastructureLocation: ChennaiExperience: 5+ YearsAbout Linarc:Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered.Built for general contractors, construction managers, and trade partners, Linarc is a next-generation platform that brings unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability—helping teams deliver projects faster, smarter, and with greater control.Join us and be part of a high-impact, fast-growing team that’s shaping the future of construction tech. If you thrive in a dynamic environment and want to make a real difference in the industry, Linarc is the place to be. This is a full-time position and you will be working out of our HQ in Chennai.We are seeking an eager and energetic Platform Engineer who will help scale and evolve the core infrastructure that powers our systems—from backend services to data pipelines and AI-enriched analytics.What You’ll Do:<ul><li>Build and optimize core services using Python/Django and PostgreSQL, with an emphasis on reliability and performance at scale</li><li>Design and maintain event-driven microservices for real-time updates, data sync, and ERP integrations</li><li>Implement multi-tenant architecture with strict database routing, ACLs, and usage controls</li><li>Manage deployment workflows across Heroku (dev/demo) and AWS (prod), ensuring consistent environments and secure automation</li><li>Collaborate on AI/analytics integrations, including real-time reporting, predictive models, and dashboard pipelines</li><li>Support infrastructure for offline-capable mobile apps, versioned APIs, and document/report generation</li></ul>What You’ll Bring:<ul><li>4+ years of experience in backend or platform engineering, ideally in a SaaS or data-heavy environment</li><li>Strong Python (Django or FastAPI), PostgreSQL, Redis, and REST/OpenAPI experience</li><li>Hands-on experience with containerized deployments, Celery, Kafka/Event queues, and secure data workflows</li><li>Familiarity with multi-region architecture, access control design, and schema versioning</li><li>Ability to work cross-functionally with product and AI teams, and a bias for writing maintainable, observable code</li></ul>Nice to Have:<ul><li>Experience with ERP integrations, BIM/GIS, or reporting engines (e.g., ReportLab, LibreOffice automation)</li><li>Understanding of Vue 3 front-end integration points</li><li>Familiarity with AI workflows (document extraction, plan processing, predictive analytics)</li></ul>Join us if you're excited to solve hard infrastructure problems in a domain that truly impacts how the built world operates.

Job Title: Senior Data Engineer (Database Design &amp; Optimization Expert)Location: ChennaiExperience: 10+ yearsEmployment Type: Full-timeWork model: In-officeAbout Linarc:Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered.Built for general contractors, construction managers, and trade partners, Linarc is a next-generation platform that brings unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability—helping teams deliver projects faster, smarter, and with greater control.Our platform is built to scale — from mid-sized contractors to enterprise-level builders — and backed by a robust, high-performance data infrastructure. As we grow, we’re investing deeply in our data and analytics capabilities to power real-time decisions across field and office teams.This is your chance to help shape the future of construction tech by building resilient, scalable, and analytics-ready data systems at the core of Linarc’s product.Join us and be part of a high-impact, fast-growing team that’s shaping the future of construction tech. If you thrive in a dynamic environment and want to make a real difference in the industry, Linarc is the place to be. This is a full-time position and you will be working out of our HQ in Chennai.Key Responsibilities<ul><li>Architect and manage high-performance RDBMS systems (e.g., PostgreSQL, MySQL) with deep focus on performance tuning, indexing, and partitioning.</li><li>Design and optimize document databases (e.g., MongoDB, DynamoDB) for flexible and scalable data models.</li><li>Implement and manage real-time databases (e.g., Firebase, Firestore) for event-driven or live-sync applications.</li><li>Manage and tune in-memory databases (e.g., Redis, SQLite) for low-latency data access and offline sync scenarios.</li><li>Integrate and optimize data warehouse solutions (e.g., Redshift, Snowflake, BigQuery) for analytics and reporting.</li><li>Build scalable ETL/ELT pipelines to move and transform data across transactional and analytical systems.</li><li>Implement and maintain Elasticsearch for fast, scalable search and log indexing.</li><li>Collaborate with engineering teams to build and maintain data models optimized for analytics and operational use.</li><li>Write complex SQL queries, stored procedures, and scripts to support reporting, data migration, and ad-hoc analysis.</li><li>Work with BI and data lineage tools like Dataedo, dbt, or similar for documentation and governance.</li><li>Define and enforce data architecture standards, best practices, and design guidelines.</li><li>Tune database configurations for high-throughput and low-latency scenarios under different load profiles.</li><li>Manage data access controls, backup/recovery strategies, and ensure data security on AWS (RDS, DynamoDB, S3, etc.).</li></ul>Required Qualifications<ul><li>10+ years of professional experience as a Data Engineer or Database Architect.</li><li>6+ years hands-on experience in database design, optimization, and configuration.</li><li>Deep knowledge of RDBMS performance tuning, query optimization, and system profiling.</li><li>Strong experience with NoSQL, real-time, and in-memory databases (MongoDB, Firebase, Redis, SQLite).</li><li>Hands-on with cloud-native data services (AWS RDS, Aurora, DynamoDB, Redshift).</li><li>Strong proficiency in structured query design, data modeling, and analytics optimization.</li><li>Experience with data documentation and lineage tools like Dataedo, dbt, or equivalent.</li><li>Proficient with Elasticsearch cluster management, search optimization, and data ingestion.</li><li>Solid foundation in data warehouse integration and performance-tuned ETL pipelines.</li><li>Excellent understanding of data security, encryption, and access control in cloud environments.</li><li>Familiarity with event-driven architecture, Kafka, or streaming systems.</li><li>Experience with CI/CD for data pipelines, infrastructure-as-code (Terraform, CloudFormation).</li><li>Programming or scripting experience (Python, Bash, etc.) for data automation and orchestration.</li><li>Exposure to dashboarding tools (e.g., Power BI, Tableau) and building datasets for visualization.</li></ul>Nice to Have