Chief UI/UX Designer

We are seeking a highly motivated and results-driven Telesales Executive to join our team in Delhi. This is a full-time office-based role.

Key Responsibilities:

• Make outbound calls to potential customers to promote products/services.
• Generate leads and follow up on existing inquiries.
• Achieve daily/weekly/monthly sales targets.
• Handle customer queries and resolve issues promptly.

Requirements:

• 1-3 years of experience in telesales or a similar sales role.
• Excellent verbal communication skills in English and Hindi.
• Basic computer knowledge (MS Excel, CRM tools preferred).
• Only females are preferred.
• Graduation is mandatory.

Role & responsibilities

• Strong written/verbal communication skills
• Minimum 5-12 Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Forkjoin pool and other threading concepts)
• Good knowledge of the JVM with an understanding of performance and memory optimization.
• Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).
• Excellent knowledge on collections like, Array List, Vector, LinkedList, Hashmap, HashTable, HashSet is mandate.
• Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.
• Expert level understanding of Object Oriented Concepts and Data Structures
• Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.
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Key Responsibilities

Instructional Design & Development

● Lead the end-to-end instructional design process to create engaging, scalable, and user-centric learning content.

● Develop training materials, including e-learning modules, videos, instructor-led training (ILT), virtual ILT (vILT), guides, and job aids.

● Ensure all training content aligns with adult learning principles, industry best practices, and company objectives.

SaaS Integration Training

● Design and deliver training programs focused on SaaS platform integration, API usage, and customization workflows.

● Translate complex technical concepts into clear, actionable learning solutions for both technical and non-technical audiences.

● Collaborate with product and engineering teams to stay updated on platform updates, integration capabilities, and best practices.

Leadership & Collaboration

● Manage and mentor a team of instructional designers, ensuring quality and consistency in deliverables.

● Act as the primary point of contact for stakeholders to assess training needs and define learning objectives.

● Collaborate with customer success, product management, and marketing teams to align training with customer journeys.

Technology & Tools

● Utilize authoring tools such as Articulate Storyline, Adobe Captivate, or similar to create e-learning modules.

● Leverage Learning Management Systems (LMS) to manage and distribute content effectively.

● Integrate multimedia elements, interactive simulations, and assessments into training materials to enhance engagement.

Metrics & Improvement ● Monitor and evaluate the effectiveness of training programs through learner feedback, performance data, and completion rates.

● Continuously iterate on learning content to improve quality and relevance.

● Collaborate with various internal teams (e.g., engineering, product, marketing, support) to incorporate customer insights and real-world use cases into training content, ensuring that all learning solutions meet both business and customer needs.

● Align training content with business and customer success goals, ensuring measurable impact on product adoption, customer satisfaction, and retention. Regularly assess the effectiveness of training programs to optimize learning outcomes and business results.

● Utilize an agile instructional design approach to quickly adapt training content in response to evolving product features, customer feedback, and business requirements. Regularly update and improve course materials to keep pace with product updates.

● Oversee project timelines, resource allocation, and delivery of training initiatives to ensure on-time, high-quality outputs. Manage competing priorities and coordinate with stakeholders to maintain project alignment.

Required Qualifications

● Bachelor’s degree in Instructional Design, Education, or a related field (Master’s preferred).

● 9+ years of experience in instructional design, with at least 3 years in a leadership role.

● Proven experience in creating training for SaaS platforms, particularly in integration and API-based workflows.

● Strong knowledge of adult learning principles, instructional design methodologies, and learning technologies.

● Proficiency with authoring tools (e.g., Articulate 360, Adobe Captivate), video editing tools, and graphic design software.

● Familiarity with LMS platforms and SCORM-compliant content.

ob Description: 

We are seeking an experienced Azure Data Engineer with expertise in Azure Data Factory, Azure Databricks, and Azure Data Fabric to lead the migration of our existing data pipeline and processing infrastructure. The ideal candidate will have a strong background in Azure cloud data services, big data analytics, and data engineering, with specific experience in Azure Data Fabric. We are looking for someone who has at least 6 months of hands-on experience with Azure Data Fabric or has successfully completed at least one migration to Azure Data Fabric.

Key Responsibilities:

• Assess the current data architecture using Azure Data Factory and Databricks and develop a detailed migration plan to Azure Data Fabric.
• Design and implement end-to-end data pipelines within Azure Data Fabric, including data ingestion, transformation, storage, and analytics.
• Optimize data workflows to leverage Azure Data Fabric's unified platform for data integration, big data processing, and real-time analytics.
• Ensure seamless integration of data from SharePoint and other sources into Azure Data Fabric, maintaining data quality and integrity.
• Collaborate with business analysts and business stakeholders to align data strategies and optimize the data environment for machine learning and AI workloads.
• Implement security best practices, including data governance, access control, and monitoring within Azure Data Fabric.
• Conduct performance tuning and optimization for data storage and processing within Azure Data Fabric to ensure high availability and cost efficiency.

Key Requirements:

• Proven experience (5+ years) in Azure data engineering with a strong focus on Azure Data Factory and Azure Databricks.
• At least 6 months of hands-on experience with Azure Data Fabric or completion of one migration to Azure Data Fabric.
• Hands-on experience in designing, building, and managing data pipelines, data lakes, and data warehouses on Azure.
• Expertise in Spark, SQL, and data transformation techniques within Azure environments.
• Strong understanding of data governance, security, and compliance in cloud environments.
• Experience with migrating data architectures and optimizing workflows on cloud platforms.
• Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.
• Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert) are a plus.

Key requirements:

• The person should have at least 6 months of work experience in Data Fabric.  Make sure the experience is not less than 6 months 
• Solid technical skills: data bricks, data fabric and data factory
• Polished, good communication and interpersonal skills
• The Person should have at least 6 years of experience in Databricks, Datafactory. 

Position Overview: We are seeking a talented and experienced Cloud Engineer specialized in AWS cloud services to join our dynamic team. The ideal candidate will have a strong background in AWS infrastructure and services, including EC2, Elastic Load Balancing (ELB), Auto Scaling, S3, VPC, RDS, CloudFormation, CloudFront, Route 53, AWS Certificate Manager (ACM), and Terraform for Infrastructure as Code (IaC). Experience with other AWS services is a plus.

Responsibilities:

• Design, deploy, and maintain AWS infrastructure solutions, ensuring scalability, reliability, and security.

• Configure and manage EC2 instances to meet application requirements.

• Implement and manage Elastic Load Balancers (ELB) to distribute incoming traffic across multiple instances.

• Set up and manage AWS Auto Scaling to dynamically adjust resources based on demand.

• Configure and maintain VPCs, including subnets, route tables, and security groups, to control network traffic.

• Deploy and manage AWS CloudFormation and Terraform templates to automate infrastructure provisioning using Infrastructure as Code (IaC) principles.

• Implement and monitor S3 storage solutions for secure and scalable data storage

• Set up and manage CloudFront distributions for content delivery with low latency and high transfer speeds.

• Configure Route 53 for domain management, DNS routing, and failover configurations.

• Manage AWS Certificate Manager (ACM) for provisioning, managing, and deploying SSL/TLS certificates.

• Collaborate with cross-functional teams to understand business requirements and provide effective cloud solutions.

• Stay updated with the latest AWS technologies and best practices to drive continuous improvement.

Qualifications:

• Bachelor's degree in computer science, Information Technology, or a related field.

• Minimum of 2 years of relevant experience in designing, deploying, and managing AWS cloud solutions.

• Strong proficiency in AWS services such as EC2, ELB, Auto Scaling, VPC, S3, RDS, and CloudFormation.

• Experience with other AWS services such as Lambda, ECS, EKS, and DynamoDB is a plus.

• Solid understanding of cloud computing principles, including IaaS, PaaS, and SaaS.

• Excellent problem-solving skills and the ability to troubleshoot complex issues in a cloud environment.

• Strong communication skills with the ability to collaborate effectively with cross-functional teams.

• Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are highly desirable.

Additional Information:

• We value creativity, innovation, and a proactive approach to problem-solving.

• We offer a collaborative and supportive work environment where your ideas and contributions are valued.

• Opportunities for professional growth and development. Someshwara Software Pvt Ltd is an equal opportunity employer.

We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

• Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

• 12 to 15 yrs of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
• Understanding and Neural Language Modeling.
• Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.

i2e1 – Company Brief

i2e1 is one of the fastest growing technology start-ups in the country, founded by IIT and IIM graduates and incubated at IIT Delhi. We at i2e1 have created a platform which provides internet access to over 1.5 Million instances every month and enables offline retailers to get real time insights into their customers, locations, vicinity and industry.

What makes i2e1 a great fit for you?
At i2e1, you will be part of a fast growing team that is working towards impacting 500 million lives by 2022. If you like solving real life challenges and working with a high performance team, i2e1 is the perfect place for you to build your career.

What is Technology at i2e1?
Technology plays a central role at i2e1 and delivering the best experience to users is our guiding principle. As a part of Tech team, you will get a chance to work on multiple consumer centric products like WIOM and i2e1 WiFi solutions. A typical day in tech's life at i2e1 includes- participating in daily scrums, understanding the core business challenge, leveraging tech tools to solve the problem, meeting and discussing solutions with stakeholders and working with multiple teams like Product, Design, Analytics and Marketing team to deliver outstanding experience to our users.

As a team, we collaborate on problem solving and co-create solutions together, working very closely with Product Managers, Developers and other business stakeholders. This is a unique opportunity for a passionate individual to solve real life problems through tech and build outstanding digital experiences.

If you are interested in working on challenging problems in a young high growth startup, i2e1 is the place for you.

More Details about the position:

1. Position – Front-end Developer
2. Location – Saket, Delhi
3. Roles & Responsibilities
4. Plan, review, analyze, design, code and implement simple to more complex internet and e-commerce applications using frontend development tools (HTML5,  JavaScript, Angular 6, CSS etc.) for both traditional browsers and mobile devices.
5. Ensure software meets all requirements of quality, security, modifiable, extensibility etc.
6. Set up and maintain data structures and database environment.
7. Ability to support and maintain existing systems that use a variety of  Angular and .NET technologies.
8. Provide technical expertise to resolve service impacting incidents and problems
9. Collaborate with developers, designers, business team and tailor web solutions to their needs and requirements

1. Qualification
2. a)Bachelors/Master Degree in Computer Science or equivalent.
3. b)3-5 years of experience in front-end languages at a scaled B2C company.
4. c)Solid understanding of Web Development Process, A to Z.
5. d)Strong knowledge of  Angular, HTML5, JavaScript, Rest Apis.
6. e)Solid understanding of relational databases and SQL for implementing database driven, web-based applications
7. f)Flexibility, good time management skills, basic project management skills

As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.

You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code

• Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
• Developing reusable Infrastructure code and testing frameworks
• Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
• Design a scalable Centralized Logging and Metrics platform
• Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.

• Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
• Experience in developing applications using programming languages like Java, Python and Go
• Experience in handling logs and metrics at a high scale.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.