Conduct thorough reviews of requirements and systems analysis documents to ensure completeness
Participate in the creation and documentation of designs, adhering to established design patterns and standards
Independently perform coding and testing tasks, while also assisting and mentoring other engineers as needed
Adhere to coding standards and best practices
Address and resolve defects promptly
Promote and write high-quality code, facilitating automation processes as required
Collaborate with the deployment lead and peer developers to complete various project deployment activities
Ensure proper use of source control systems
Deliver technical artifacts for each project
Identify opportunities to fine-tune and optimize applications
Mentor team members on standard tools, processes, automation, and general DevOps practices
AI Expectations : Will utilize AI tools and applications to perform tasks, make decisions and enhance their work and overall cloud migration velocity. Expected to use AI Powered software for data analysis, coding, and overall productivity
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and / or re-assignment to different work locations, change in teams and / or work shifts, policies in regards to flexibility of work benefits and / or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Qualifications
Required Qualifications :
Bachelor’s degree in computer science or a related field
Experience working with JavaScript, TypeScript and go lang
Experience working with Python and Terraform
Experience working with Microservices architecture
Extensive experience with CI / CD and DevOps initiatives
Experience working in an Agile environment
Development experience with SDKs and APIs from at least one cloud service provider AWS, GCP, Azure
In-depth knowledge of professional software engineering and best practices for the full SDLC, including coding standards, source control management, build processes, and testing
Expertise in building and maintaining platform-level services on top of Kubernetes
Familiarity with the GitHub toolset, including GitHub Actions
Proficiency in provisioning various infrastructure services in AWS, Azure, and GCP
Proven skilled in provisioning MongoDB Atlas resources using APIs
Proven excellent debugging and troubleshooting skills
Proven exceptional communication and presentation skills
Demonstrated positive attitude and self-motivation
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Data Engineering • Aurangabad, Republic Of India, IN
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