VP of Aggregation - India

Position: UiPath Developer

Experience: 3-7 years

Key Responsibilities:

1. Develop and implement automation solutions using UiPath.

2. Design, develop, test, and deploy RPA bots for process automation.

3. Write and optimize SQL queries, including joins, to manage and manipulate data effectively.

4. Develop scripts using Python, VB, .NET, or JavaScript to enhance automation capabilities.

5. Work with business stakeholders to analyze and optimize automation workflows.

6. Troubleshoot and resolve issues in RPA processes and scripts.

7. Ensure adherence to best practices in automation development and deployment.

Required Skills & Experience:

1. 3-7 years of experience in RPA development with UiPath.

2. Strong expertise in SQL, including writing complex queries and joins.

3. Hands-on experience with at least one scripting language: Python, VB, .NET, or JavaScript.

4. Understanding of RPA best practices, exception handling, and performance optimization.

5. Experience integrating UiPath with databases and other applications.

6. Strong problem-solving and analytical skills.

Preferred Qualifications:

1. UiPath certification is a plus.

2. Experience working in Agile environments.

3. Knowledge of APIs and web automation (AA).

Position: Backend Engineer

Location: Ascendion office - Kadubeesanahalli, Bengaluru

Work mode: Hybrid (3 days/week)

Experience Range: 6 - 9 years

Key Responsibilities:

Design, develop, and maintain backend applications using Java and Spring Boot

Build high-performance RESTful APIs and microservices

Work with NoSQL databases for scalable data handling

Contribute to cloud-based development and deployments on AWS/Azure

Implement and manage CI/CD pipelines for automated delivery

Collaborate closely with DevOps, QA, and Product teams

Participate in code reviews, debugging, and performance optimization

Ensure clean, maintainable, and well-documented code

Support production and ensure application stability

Required Skills & Qualifications:

Strong hands-on experience in Core Java

Solid experience with Spring Boot and microservices architecture

Working knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.)

Basic exposure to Golang (ability to read/write simple services)

Experience with cloud platforms such as AWS and/or Azure

Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)

Good understanding of REST APIs, JSON, and HTTP protocols

Proficiency with version control systems like Git

Designation: Kotlin Developer

Position 1 Junior

Position 2 Senior

Experience: 2 or 4 years

Package: 4.5-7 lacs/annum in hand

Position: Contractual (at least for 6 months and extendable basis performance)

Company Name: Dofin Corp.

Website: www.dofin.co

Job Location: Work from where it works for you

Who We are:

Dofin is a Product based company headquartered in Sheridan Way, California. Since 2019 we have been helping global companies and established brands reimagine their business by building impactful digital engineering solutions powered by the latest technologies.

What We do:

We create an engaging product on time with a team that designs software products with excellence.

What will you do?

● Design, develop and maintain various Bioinformatics solutions for analyzing and managing Biological data as per our best practices and quality standards.

● Collaborate with Product Management and Software Engineers, to build bioinformatics solutions.

● Produce high quality and detailed documentation for all projects.

● Provide consultation and technical solutions to cross functional bioinformatics projects.

● Identify and/or conceive novel approaches to better and more efficiently analyze client and public datasets.

● Participate in defining the high-level application architecture for future roadmap requirements and features.

● Coach other team members by sharing domain and technical knowledge and code reviews.

● Participate in activities such as hiring and onboarding.

● Work with cross-functional teams to ensure quality throughout the bioinformatics software and analytical pipelines development lifecycle.

● Ensure compliance with our SDLC process during product development.

● Stay up-to-date on technology to deliver quality at each phase of the product life-cycle. You take leadership in evangelizing technical excellence within the team.

What do you bring to the table?

● Ph.D. degree with 3-5+ years of postdoc or industrial experience or Masters Degree with 5-8+ years of industrial experience in Bioinformatics, Computer Science, Bioengineering, Computational Biology or related field

● Excellent programming skills in Python and Shell scripting

● Experience with Relational database such as PostgreSQL, mySQL or Oracle

● Experience with version control systems such as GitHub.

● Experience with Linux/UNIX/Mac OS X based systems

● Experience with high-performance Linux cluster and cloud computing (AWS is preferred).

● Deep understanding of analytical approaches and tools for genomic data analysis along with familiarity with genomic databases. Candidates with proven expertise in the analysis of NGS data generated on sequencing platforms such as Illumina, Oxford Nanopore, or Thermo will be prioritized.

● Experience with open source bioinformatics tools and publicly available variant databases.

● Ability to manage moderately complex projects and initiatives.

● Exceptionally strong communication, data presentation and visualization skills.

● Personal initiative and ability to work effectively within a cross functional team.

● Excellent communication skills and ability to learn and work independently when necessary.

● High energy and inquisitive and strong attention to detail

DATA ENGINEER

Overview

They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.

Responsibilities:

Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.

Implement and maintain data governance and security measures to protect sensitive data.

Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.

Qualifications:

Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).

Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

Excellent communication and collaboration skills to work effectively in a team environment.

Preferred Qualifications:

Advanced knowledge of distributed computing and parallel processing.

Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).

Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

Certification in relevant technologies or data engineering disciplines.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

The Cloud Engineer will design and develop the capabilities of the company cloud platform and the automation of application deployment pipelines to the cloud platform. In this role, you will be an essential partner and technical specialist for cloud platform development and Operations. 

Key Accountabilities 

Participate in a dynamic development environment to engineer evolving customer solutions on Azure. Support SAP Application teams for their requirements related to Application and release management. Develop automation capabilities in the cloud platform to enable provisioning and upgrades of cloud services. 

Design continuous integration delivery pipelines with infrastructure as code, automation, and testing capabilities to facilitate automated deployment of applications. 

Develop testable code to automate Cloud platform capabilities and Cloud platform observability tools. Engineering support to implementation/ POC of new tools and techniques. 

Independently handle support of critical SAP Applications Infrastructure deployed on Azure. Other duties as assigned. 

Qualifications 

Minimum Qualifications 

Bachelor’s degree in a related field or equivalent experience 

Minimum of 5 years of related work experience 

PREFERRED QUALIFICATIONS 

Supporting complex application development activities in DevOps environment. 

Building and supporting fully automated cloud platform solutions as Infrastructure as Code. Working with cloud services platform primarily on Azure and automating the Cloud infrastructure life cycle with tools such as Terraform, GitHub Actions. 

With scripting and programming languages such as Python, Go, PowerShell. 

Good knowledge of applying Azure Cloud adoption framework and Implementing Microsoft well architected framework. 

Experience with Observability Tools, Cloud Infrastructure security services on Azure, Azure networking topologies and Azure Virtual WAN. 

Experience automating Windows and Linux operating system deployments and management in automatically scaling deployments. 

Good to have:

1) Managing cloud infra using IAC methods- terraform and go/golang

2) Knowledge about complex enterprise networking- LAN, WAN, VNET, VLAN

3) Good understanding of application architecture- databases, tiered architecture

Customer Happiness is one of our key differentiators. In this role you will be the customer champion for Exotel, thrive to create great customer experience while responding to customer inquiries, resolving their queries and ensure all the agreed SLA’s are met consistently. In this role, you will be working with internal and external stakeholders with high level of ownership on your deliverables with customer first approach.

Exotel is one of Southeast Asia’s largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best in class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, Redbus, Flipkart, Quikr, Practo,Lazada, Redmart, to name a few.

We are a young company with humble beginnings in 2011 that grew  from a 3 member team to 150+ employees in 2018. Our technology has connected 85 million people, powered 1.2 billion customer calls, powered 3.2 billion voice API calls, 3.2 billion business SMS powered. Read our 2018 growth story https://2018.exotel.com/">here.

• You enjoy customer interactions and solving problems on behalf of our customers is something that you are passionate about.
• You enjoy resolving customer issues and providing feasible solutions.
• You have dual qualities of time management, patience and ability to speak to customers with confidence and conviction.
• You consistently thrive for excellence.

• You will be the voice of the Enterprise customer sand help customers with issues related to the platform. You will be responsible for addressing and resolving tickets from enterprise customers while adhering to SLAs.
• You will document customer pain points to help in process improvement. You will also surface customer feedback to product and engineering teams to drive improvements in the product.
• You will explore customer data to identify trends with the objective of issue resolution.
• You will resolve customer issues through process expertise without having to escalate to higher levels of management but also understands when higher level of authorization is required.
• You will effectively interact, collaborate and network with other departments to resolve customer issues, including account management, technical support, product and engineering teams.
• You will be working in different shifts so as to ensure the client issues are addressed on time.

• 2-5 years of experience in 24x7 customer support operations.
• You have experience in B2B Software support and understanding of Saas platforms
• You have excellent communication skills, ability to identify complex customer problems.
• You possess a sense of urgency for problem resolution and knows where to go for that resolution.
• You have the eagerness for learning and staying up-to-date on new product or policy changes.
• Start-up experience would be a plus.
• You should have working knowledge about APIs and ticket management tools (such as Freshdesk, Postman, Grafana…) will be a plus or a learning mindset.