Software Engineer

Software Engineer

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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