Job Overview
Role: Software Development Engineer 1 Location: Bangalore Experience: 1+ Year Qualification: Bachelor's degree (Computer Science, Software Engineering, or Related) Key Skills: Java, C#, Golang, Python, SQL, Relational Databases, ELT, Data Pipelines, Data Warehousing, Dimensional Modeling, Cloud Technologies, CI/CD, GitHub Actions, Terraform, Microservices, TDD, BDD, Monitoring
Job Description
WEX is hiring for the position of Software Development Engineer 1 in Bangalore. Candidates with B.E/B.Tech/B.Sc qualifications and around 1 year of software engineering experience can consider this opportunity. This WEX Recruitment 2026 role is designed for an entry-level engineer who wants to work on complex data systems, cloud infrastructure, data pipelines, software development, and risk engineering platforms. The role combines conventional software engineering with data ingestion, data processing, data quality, SQL, relational databases, ELT, cloud technologies, CI/CD, Infrastructure as Code, microservices, and big data. The position is part of WEX's Risk Engineering organization. According to the supplied job description, the team works with large and complex datasets generated by production systems, applications, and platforms and develops systems and tools that clean, process, enrich, optimize, and serve that data. Candidates will also have the opportunity to work with modern engineering practices such as Test-Driven Development (TDD), Behavior-Driven Development (BDD), GitHub Actions, Terraform, monitoring, incident response, and data modeling. The role is based in Bangalore, India.
Roles and Responsibilities
- Collaborate with stakeholders to understand customer and business problems.
- Design, test, code, and instrument new data products, systems, and platforms.
- Develop software components for small- and medium-complexity problems.
- Build and maintain data pipelines covering the end-to-end data lifecycle.
- Support data ingestion, cleaning, processing, enrichment, optimization, and serving.
- Develop systems for measuring and monitoring data quality.
- Support metadata management, data catalogs, and Master Data Management initiatives.
- Learn and maintain CI/CD pipelines using tools such as GitHub Actions.
- Implement Infrastructure as Code using tools such as Terraform.
- Support provisioning and management of cloud-based data infrastructure.
- Apply software development practices such as TDD and BDD.
- Work with microservices and vertical slice architecture patterns.
- Support live data systems and production platforms.
- Participate in proactive monitoring and incident response activities.
- Investigate existing systems to identify bottlenecks and improvement opportunities.
- Develop and maintain reliable, secure, and scalable big data platforms and tools.
- Support data quality measurement and monitoring systems.
- Learn and integrate big data technologies with WEX platforms.
- Apply data modeling techniques to create efficient and usable data structures.
- Collaborate with peers and senior engineers to improve solution quality.
- Continuously learn new technologies and engineering practices.
Skills and Eligibility Criteria
Educational Background: Bachelor's degree in Computer Science, Software Engineering, or a related field. Demonstrable equivalent capability may also be considered.
Experience: 1 year of software engineering experience is listed as a plus.
Mandatory Technical Skills:
- Programming: Strong implementation skills in Java, C#, Golang, Python, or similar programming languages.
- Testing: Understanding of automated testing and engineering quality practices.
- Data Processing: Knowledge of data ingestion, cleaning, processing, enrichment, serving, and data quality.
- SQL: Understanding of SQL and relational algebra.
- Databases: Knowledge of relational databases and data systems.
- ELT: Understanding of extract, load, and transform workflows.
- Data Warehousing: Basic understanding of data warehousing and dimensional modeling.
- CI/CD: Familiarity with continuous integration and delivery pipelines.
- Architecture: Awareness of microservices and vertical slice architectures.
- Monitoring: Understanding of measurement, monitoring, and production support.
Competencies:
- Cloud: Interest or experience with cloud technologies and infrastructure.
- Infrastructure as Code: Exposure to Terraform (advantage).
- Problem Solving: Strong analytical and problem-solving skills.
- Communication: Strong communication and collaboration capabilities.
- Learning Ability: Willingness to learn new technologies and tools quickly.