Software Engineer

- - - - - - - - - - - -

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