As a Software Engineer, you will design, build, deploy, and maintain high-quality applications—both custom-built and package-based—to deliver real business value. You will use strong coding skills, modern DevOps practices, and hands-on experience with AWS to ensure applications are stable, scalable, performant, secure, and consistent across environments.

Software Development & Maintenance

Using Lean & Agile methodologies, Security by Design practices, and modern DevSecOps techniques, you will:

• Write beautiful, clean, secure, and maintainable code across our application ecosystem.
• Complete testing, debugging, and incremental enhancements to existing software utilizing AI-powered development tools.
• Provide basic technical support by diagnosing and resolving incidents.
• Implement changes to applications and maintain clear technical documentation.

Controls, Testing & Quality Assurance

• Build, run, and optimize unit tests and test plans.
• Use AI-based testing platforms to identify anomalies, generate test cases, and detect regressions.
• Analyze, report, and resolve bugs, incidents, and malfunctions.

Deployment & Operations

• Contribute to change management, communication, and technical training.
• Build automated deployment pipelines using modern DevSecOps.
• Support solutions in production (especially in product-mode environments).
• Apply AI tools for log analysis, monitoring, operational insights, and incident prediction.
• Demonstrate a willingness/ability to provide on-call support or perform deployment work outside normal work hours and on weekends, as needed.

BI & Data

• Build and maintain data pipelines and models using Databricks and SQL to support reporting and analytics.
• Create clear, high-value dashboards in Power BI and Grafana to enable data-driven decisions.
• Monitor data quality, resolve inconsistencies, and implement automated validation and anomaly detection.
• Use AI-assisted tools to accelerate data exploration, analysis, and insight generation.
• Collaborate with stakeholders to define data requirements and ensure analytics solutions meet business needs.
• Maintain documentation and support technical users in understanding dashboards and data outputs.

Requirements & Specifications

• Collaborate with business stakeholders and UX/UI experts to ensure functional and technical requirements truly reflect business needs.
• Use AI-assisted analysis tools to evaluate user behavior, detect gaps, and refine UX/UI and functional specifications.

Required Experience

1–3 years in a software development role preferred.

Required Skills

• JavaScript / TypeScript
• React
• Node.js
• Git
• AWS RDS - Postgres
• MongoDB Atlas
• AWS Lambda, Step Functions, CloudWatch, S3, EC2
• Ability to leverage AI tools for code generation, optimization, troubleshooting, and testing
• MS Office
• JIRA

Desired Skills

Backend & Cloud: Spring Boot, AWS CLI, AWS CodePipeline, AWS CloudFront, CloudFormation, AWS Security Groups, AWS ECS, Elixir, Databricks, Power BI, Grafana

Mobile & Front-End: React, React Native, Flutter, Kotlin, Swift, Material UI, Figma

QA & Automation: Playwright, Jenkins, Zephyr, JMeter, Use of AI QA automation tools

BI & Data: AWS Glue, ElasticSearch, Kibana, Redshift, QuickSight, Athena, Azure Data Factory, Azure SQL, Azure Synapse, Azure ML Studio, SQL, Python, Data modeling and data visualization tools, Ability to apply AI for data exploration, analysis, and insight generation

DevOps & Scripting: Linux CLI, Bash scripting