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The ideal candidate will work on multiple projects that will impact the entire engineering
organization. Adapting to change and adopting new technologies, they will constantly be solving
new challenges as they arise. They are passionate about leading initiatives and delivering
results. The work will be focused around enabling our engineering teams to build, test and release
• BS/MS in Computer Science, Engineering or related field, or equivalent training, fellowship,
or work experience.
• 4+ years software development experience with micro service development using Spring
Boot (JOOQ, Flyway, Gradle, etc.).
• 4+ years engineering experience with operations, design and architecture of cloud
• Hands-on experience in AWS technology stack (ECS, Containers, CloudFront, IAM, etc.)
• Experience building Continuous Integration (CI)/Continuous Deployment (CD) systems
• Experience with deployment automation/configuration management (Terraformpreferred)
• Track record of building reusable scripts, tooling and automation solutions
• Experience with container technologies (Docker, Kubernetes, Helm, etc.)
• Extensive experience deploying, operating and debugging server software on Linux
• Experience with databases such as AuroraDB, DynamoDB, MySQL
• Experience working across teams and with remote teams
• Strong written and interpersonal communication skills for interacting persuasively with
Nice to Haves:
• Knowledge of Site Reliability Engineering (SRE) and New Relic
• Experience with Kinesis, Kafka
• Knowledge of performance optimization approaches and technologies for web applications
• Experience with GraphQL and/or Apollo
|Experience||3 - 8 Years|
|Salary||7 Lac To 12 Lac P.A.|
|Industry||IT Software - Application Programming / Maintenance|
|Key Skills||JAVA springboot|
|About Company||We are hiring for a company which is a global software technology factory that provides consulting, information technology solutions and outsourcing services. With our agile and scalable Factory model we help data-driven enterprises to digitally transform themselves through Data Engineering, Advanced Analytics, DevOps Automation, Intelligent Process Automation(RPA), Cloud Computing and Artificial Intelligence.|