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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
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages. Emerging knowledge of continuous integration and continuous delivery tools like Terraform
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Experience maintaining a Cloud-base infrastructure. Familiar with tools such as Kafka , MSK , Splunk, Grafana, Dynatrace, Prometheus, Datadog, Splunk , Kafka.
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, 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
Familiarity with modern front-end technologies. Proficient in coding in one or more languages , Python preferable
Prior experience of working in AWS & Kubernetes. Strong understanding of AWS services & architecture best practices. AWS Certified Solutions Architect is plus
Exposure to cloud technologies. Knowledge of software development methodologies like Agile, Devops & tools Git , Jenkins
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