Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Work closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Adds to team culture of diversity, equity, inclusion, and respect
- Have a defined goal based approach and adhere to committed timelines.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience, Bachelor’s degree required.
- Strong skills around object oriented analysis and design (OOAD), data structures, algorithms, design patterns
- 5 years+ Exp in Performance testing using Jmeter etc.
- Experience on Kubernetes and Linux
- Code Profiling Experience using any tool like Yourkit
- Application Monitoring Experience using tool like New Relic, Graylog etc.
- Nice to have some programming/database tunning knowledge.
- Cloud – Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes
- Solid understanding of agile methodologies, CI/CD, Non-Functional requirements like Resiliency, performance and Security.
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Independent and self-motivated
- Strong interpersonal and communication skills
- Exposure to cloud technologies