Job Description
KEY RESPONSIBILITIES:
- Designing, prototyping and demonstrating new features and components of front-end and back-end to users to ensure compliance with requirements
- Assisting in the design, implementation and optimization of related approaches, tools and workflows.
- Collaborate with the technical teams, business teams, QA and product team to deliver high-quality solutions.
- Design the solutions to meet functional and technical requirements.
- Ensure adherence to security standards and compliance with privacy rules and regulations early in the development. Be proactive to resolve and prevent technical debt.
- Write clean, maintainable, and testable code following best practices.
- Build and deploy microservices on AWS using services like Lambda, ECS, S3, DynamoDB,
- MongoDB, RDS, API Gateway, etc.
- Develop delivery pipelines and automated deployment scripts.
- Configure services, such as databases and monitoring.
- Implement Service Reliability Engineering.
- Fix problems from the development phase through the production phase, which requires being on call for production support.
MINIMUM QUALIFICATIONS:
- 3-6 years of hands-on experience as a Software Engineer or related technical engineering capacity. Relevant technologies and programming languages include Java 11/17/21 J2EE and the Backend SpringBoot RestAPI development.
- Skilled in Java 8 and 11 features such as Lambda Expressions, Streams, Functional Interfaces, Stream API.
- Experience of working in distributed agile teams using agile frameworks such as SCRUM, SAFe, XP etc.
- Experience in AWS, Backend Spring Boot Rest API development is required.
- Experience in designing, developing and deploying RESTful microservices.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Experience working with containers, and managed container orchestrators (Kubernetes / OpenShift) in the cloud (For example Red Hat OpenShift (RedHat OpenShift on AWS), ROSA AWS Elastic Kubernetes Service, AWS Kubernetes Service, Red Hat OpenShift).
- Experience working with DevOps principles, practices and tools in an enterprise technology environment is required.
- Knowledge of concepts, values, tools applied in building Continuous Integration (CI), Continuous Delivery and Continuous Deployment (CD) pipeline, Build, Implement and Maintain CI/CDPipelines to achieve the automation of Software delivery process. Preferred Gitlab CI, Tekton pipeline and tools like ArgoCD.
- Working Knowledge of AWS CDK (typescript is preferred), CloudFormation Templates (CFT), IaC (Infrastructure as code) Debugging Infrastructure issues in CDK and CFT, yaml, Ansible
- Shell Scripting knowledge in Linux, Python
- Experience engineering software within an Amazon Web Services (AWS) / GCP / Azure-GTH cloud infrastructure or other prominent enterprise cloud provider is required.
- Working knowledge of the full Software Development Lifecycle, building CI/CD pipelines and practicing Test Driven Development is a requirement.
- Fundamental Awareness of Application Security principles and 12-factor application development principles is required. Adhering to secure coding practice is required.
- Experience with source control, build tools and GIT (GitHub, Gitlab,Bitbucket or other) is required.
- Working knowledge of SonarQube, Veracode or BlackDuck scan is required.
- Proficient in working with SQL and NoSQL databases.
- Experience with Kafka, Redis, or other streaming technologies.
- Embraces diverse people, thinking and styles.
- Consistently makes safety and security, of self and others, the priority.
- Knowledge of CI/CD and DevOps practices; with tools such as Git CI, Workflows, Jira / VersionOne / Agility, Tekton, Argo CD ,Helm, Gradle, Ansible
PREFERRED QUALIFICATIONS:
- Bachelor's degree in computer science, Information Systems or related technical field is preferred.
- Experience working in an airline technology environment is preferred.
- Exposure to AI/ML workflows, such as model deployment, data preprocessing, or inference pipelines.
- Adapt to and incorporate new and emerging technologies
- Work under minimal supervision exhibiting strong analytical, problem solving.
ID: DELGS07
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