Business development representative

Quick Facts About the Role

Role:

Senior Software Developer (Backend) - .Net with Microservices & Cloud

YOE:

6.5+ years

Skills:

C#, ASP. Net, Microservices Architecture, ASP.NET Core, Web API development, Azure Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure Functions, Azure Blob storage, Caching, NoSQL Databases

About the Role

The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software that solves real problems. Strives for security, performance, simplicity, usability, and maintainability. Mentors and guides less experienced software engineers.

Responsibilities

1. Team Contribution

• Works within established agile methods, promoting an atmosphere of continuous improvement.
• Continuously learns new technologies and patterns and practices.
• Documents knowledge for the benefit of the team.
• Reports to the team on obstacles and roadblocks.
• Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team meetings.
• Promote patterns and best practices on the team.
• Mentors and guides the less experienced software engineers.

2. Planning and Design

• Works with the product team and stakeholders to refine and document requirements.
• Estimates effort for planning purposes.
• Designs and documents enterprise-level software architecture, consulting with Enterprise Architecture when appropriate.

3. Development

• Writes code to develop software that meets requirements and specifications.
• Follows established software development life cycle (SLDC).
• Writes code with readability and future maintenance in mind.
• Follows established source control standards and best practices.
• Adheres to established secure coding practices.
• Reviews code for other developers.
• Leads team-based development efforts.

4. Quality Assurance

• Validates QA findings and fixes defects.
• Develops integration and testing points in the software that allow for QA testing.
• Assists QA in running performance and load tests.

5. Release

• Assists with release planning and releases.

6. Support

• Assists the support team as needed, including root cause analysis.
• Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements

Solid Understanding of The Following:

Microservices Architecture:

• Microservices design principles (bounded contexts, loose coupling)
• API-first design and contract management
• Event-driven design principles
• Asynchronous messaging patterns
• Eventual consistency concepts
• Idempotency and message replay handling

Technical Skills:

• ASP.NET Core Web API development
• Web Apps
• Azure Kubernetes Service (AKS)
• Azure Blob Storage usage and lifecycle management
• API Gateway / Azure API Management concepts
• Entra (Authentication)
• Azure Service Bus
• Azure Functions
• Caching
• NoSQL Databases

Processes & Standards:

Git, GitFlow, OO Programming, Kanban, Secure Coding, & Agile Methodologies

Bonus Skills

• Excellent written and verbal communication
• Excellent documentation
• Continuous learning
• Collaboration across team and functional boundaries
• Troubleshooting and creative problem solving
• Design simple architecture that supports complex applications and APIs
• Architect extensible databases
• Author complex component-based client applications and restful APIs
• Perform advanced CRUD operations against multiple data sources
• Manipulate enterprise level data structures
• Mentor less experienced team members
• Take ownership of team processes and legacy applications
• Perform business analysis tasks, such as requirements gathering and wireframing

Evaluation Criteria

• Consider candidates with 6.5+ years of experience only (do not go below this threshold).
• Must have excellent communication skills.
• Ensure the mandatory technical skills are clearly reflected in the resume:
• C# (async/await, dependency injection, LINQ)
• ASP.Net Core
• RESTful APIs
• Microservices Architecture
• ASP.NET Core
• Web API development
• Azure Kubernetes Service (AKS)
• API Gateway / Azure API
• Entra (Authentication)
• Azure Service Bus
• Azure Functions
• Azure Blob storage
• Caching
• NoSQL Databases
• Candidates should have at least 3 years of hands-on experience with Azure and Microservices.
• This Azure and Microservices experience must be from their current or a recent previous project.

About the Role

We are looking for a Senior Software Engineer (Node.js) to join our engineering team in Bengaluru. The ideal candidate will have strong experience building scalable backend applications, designing APIs, and working with modern software development practices.

Responsibilities

• Develop and maintain server-side applications using Node.js.
• Design and implement RESTful APIs.
• Integrate front-end components with backend services.
• Write clean, scalable, and maintainable code.
• Troubleshoot and resolve application issues.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in code reviews and follow software development best practices.

Requirements

• 3-6 years of experience in software development.
• Strong proficiency in JavaScript and Node.js.
• Experience with RESTful API development.
• Knowledge of SQL and/or NoSQL databases.
• Experience with Git and collaborative development workflows.
• Good problem-solving and communication skills.
• Bachelor's degree in Computer Science or related field.

Good to Have

• Docker
• Kubernetes
• Cloud Platforms
• Microservices Architecture
• Express.js
• MongoDB
• Docker
• Kubernetes
• Backend Development

• Work directly with enterprise customers to replicate, troubleshoot, and resolve complex technical issues
• Build out a growing technical team distributed across the Asia-Pacific region with core support process and skills
• Work with our developers to identify defects and opportunities for product improvement
• Improve the serviceability of the product by testing new features and developing tools to scale our deployments and auto-support infrastructure
• Define and inspire changes to our product with our development engineering team based on feedback from customers and partner implementations
• Develop and contribute to internal and external knowledge bases
• Provide support on weekdays and also off-hours on an as-needed and scheduled rotational basis
• Be a champion for our customers. Go above and beyond to ensure customers are getting the most out of their investment in the company platform.

You'll need:

• Excellent written and verbal communication skills – you’re able to work with a wide variety of people and collaborate with geographically distributed teams and effectively communicate everything from data points to critical feedback
• Entrepreneurial spirit and are not afraid to take on new challenges
• Customer Obsession – you are passionate about delivering a high-quality support experience and providing customers with the tools they need to succeed. You judge our own success by the success of the team and the happiness of our customers.
• Professional experience troubleshooting at least five of the following: Linux Sysadmin experience, Kubernetes, ansible, Postgres, MongoDB, MySQL, Cassandra, Database Administration, management of distributed systems, network troubleshooting including tcpdump, query performance, performance troubleshooting with tools like perf and strace
• Well recommended candidates will have experience scripting and writing code in Python, Bash, and Java, or have some full-stack web development experience.
• 12+ years in a technical support role required
• Prior experience as a technical lead preferred

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred