Senior Tech Lead

Mandatory Criteria

• Figma, Adobe XD, Illustrator, Lottie
• UI/UX Design (web + mobile)
• Wireframing, Prototyping, and Responsive Design
• Visual Design Systems (Typography, Grid, Components)
• Knowledge of Conversion Rate Optimization (CRO)
• Experience with Shopify or Webflow (preferred)
• Familiarity with GA4, Hotjar, or analytics tools
• Strong understanding of D2C/eCommerce design

OKR

• Design and deliver visually compelling, conversion-optimized interfaces for D2C and consumer brands.
• Maintain design consistency and component libraries across projects.
• Improve conversion rates through data-informed UI/UX decisions.
• Collaborate with developers and marketers to ensure implementation accuracy.
• Optimize page speed, layout, and user flow for better performance metrics.

Kindly share your resume at 82008 31681

Experience: 8–12 years total; including 5+ years hands-on Salesforce development and 2+ years

in a lead role

Employment Type: NPW; Remote; time-zone overlap with US stakeholders

Reports To: Program Manager

Role Summary

Own the design and implementation of the contract generation capability in

C3/Salesforce—including canonical template modeling, field mappings, merge logic, and

approval workflows—and deliver a pilot/MVP that enables automated, correct contract

generation.

Key Responsibilities

 Lead end-to-end build of merge templates and document generation flows for contract

types in Salesforce/C3; establish reusable patterns and governance.

 Translate business requirements into technical designs (data model, mapping, merge rules,

validation/approvals) and own backlog grooming and sprint readiness.

 Implement in Salesforce using Apex, Lightning Web Components (LWC), Flows, Approvals,

and REST/SOAP APIs; integrate with clause libraries and metadata sources.

 Set engineering standards (coding guidelines, branching, CI/CD), perform code reviews, and

mentor developers; ensure performance, security, and auditability.

 Deliver a pilot for at least one contract type and expand to additional templates based on

fit/gap and stakeholder feedback; drive UAT and release readiness.

Required Skills & Qualifications

 Salesforce: Apex, LWC/Lightning, Flows, Approvals, SOQL/SOSL; experience integrating

third-party systems via REST/SOAP; strong understanding of template merge and document

generation.

 Prior experience with C3 is necessary.

 Data & Mapping: Designing canonical models, field mappings, clause/section metadata;

error handling and reconciliation.

 Dev Practices: Git-based workflows, CI/CD (Azure DevOps/GitHub), unit/integration tests,

performance tuning, security (profiles, roles, sharing).

 Leadership & Collaboration: Lead a small agile squad, partner with BAs/Architects, and

communicate clearly with business/legal stakeholders.

Experience : 2 to 4.5 Years

BE/Btech (EEE,EC) ME/Mtech (EEE/EC)

• Strong knowledge in Embedded C, C programming

• Should have knowledge on Microcontroller / Microprocessor, ARM architecture, Memory Subsystem 

• Knowledge of communication protocols like I2C,SPI, UART, CAN ,USB, PCIE, GPIO programming 

• Good Handson Knowedge in Linux Device Driver , Debugging, System Architecture 

• Experience / good knowledge in developing boot loader, bare metal low level device drivers, testing and debugging the issues.

• Good knowledge / experience at least in one project in UBOOT, Linux device driver and BSP configuration and development in Yocto / Buildroot/ Busybox environment

• Knowledge on Linux based product development, hands-on with at least one project based on Linux with any Application Processor (MPU) 

• Embedded domain with good knowledge and hands-on of 32 bit microcontrollers (preferably Arm Cortex MO/M4/M7) 

• Should possess very Good Aptitude and Strong problem solving skills

10

• Competitive salary

• Health insurance

• Professional development opportunities

• Collaborative and innovative work environment

Job description :

The responsibilities of developers include writing code, designing solutions for applications, and improving functionality.

Creating top-quality applications.

Collaborating with front-end developers.

Ensuring that junior staff delivers according to standards.

Improving functionality.

Using the most updated and appropriate technologies.

Designing and building application layers.

Key skills: asp.net, C#,MVC, C++, Visual Studio, SQL

• Front-end skills (HTML5, CSS3, JavaScript, ES6+, Ajax);
• 3+ years working with React/Redux + Typescript front-end applications
• Must have experience technologies like Python, React, node.js, PostgreSQL, AWS
• Experience with centrally managed state (Redux) and React Router
• Experience with data structuring libraries (Immutable.js / Immer)
• Experience of TDD/BDD, QA/Test frameworks such as Selenium, load testing (Blazemeter), unit testing (Mocha/Chai/Jest) etc.
• Experience optimising the performance of front-end applications
• A good understanding of agile development practices and common methodologies
• Experience building responsive, cross browser compatibility websites and applications
• Experience of integrating with web services and APIs, including REST endpoints.
• Experience using code version control systems (GIT) and CI/CD.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.