Software Engineer, AWS Cloud

Job Title: Software Engineer, AWS Cloud

Location: Pune

Experience: 2-4 Yrs.

Qualification: Any Graduate

Skillsets: AWS Cloud, Incident Management, Python

AWS Cloud Software Engineer

Reporting relationship:
This role will report to Delivery Manager/Senior Delivery Manager

Role overview:

Function as a AWS Cloud Software Engineer from technical & support perspective with more focus on day to day operations & service excellence including Incident & Problem Management -SEV (Severity) management, SLA & Support metrics) & technical product enhancements to bring overall operational efficiency.

Strong knowledge in AWS Cloud skills & Python development, Cloud migration including good understanding of software Engineering concepts, CI/CD pipeline tools & integrations.

Experience in Kanban & Scrum methodologies is preferred.

Key Responsibilities:

• Responsible for day-to-day operations within Technology Operations including SEV management, On Call Support & SLA compliance & Incident reductions
• Good Understanding on software Engineering frameworks and standard procedures.
• Documentation of key processes and applications, be part of Knowledge transitions & keep focus on continues process improvement.
• Assist the team on process enhancements, build dashboards & system health improvement initiatives
• Work with diverse teams & provide assistance in areas of issue resolutions, deep dive analysis & troubleshooting.
• Strong knowledge on AWS Cloud skills & Python Development.

Service excellence:

• As part of On-Call Support, report & handle SEV1, incident & Problem Management with key stakeholders partners for key apps.
• Work with leads to look at ways to Improve support protocols​ aimed at issue resolution & maintain SLA compliance
• Provide L1, L2 support
• Ensure timely communication and alerts to key stakeholders with regards to SEV, application downtimes & ETA’s.

Security & Environment Management

• Support & remediate critical and high security vulnerabilities, ensure code deployments & pipeline migrations as per Engineering standards.
• Begin to deliver scheduled AVA (Application Vulnerability) tests, DR (Disaster Recovery) tests & ADO to GitHub migrations

Operational Efficiency -

• Prepare documentations for key apps and processes, including centralized knowledge base for troubleshooting, processes, and solutions
• Get actively involved in Training, self-development & knowledge sharing

Good verbal and written communication skills. Strong interpersonal skills including mentoring, coaching, collaborating, and team building.

Skill set:

• Strong knowledge on AWS & Python Development. Exposure to Java, Informatica, MuleSoft and .NET is good to have.
• Good Python knowledge (including frameworks like Addo or Django) with understanding of data types, error handling, best coding practices.
• Database – SQL (Amazon Redshift, Amazon RDS), NoSQL (Amazon DynamoDB), Postgres, JSON, file
• Good experience working with Amazon S3, AWS Glue, AWS Lambda, CDK, IAM, Amazon Athena
• Exposure to Tools like JIRA/Confluence/Service Now
• Well versed with DevOps practices (TDD, CI, CD, etc.). Knowledge of Azure DevOps & shell scripting is a plus
• Incident Management, Problem Management, Root Cause Analysis & Continues Improvement initiatives to drive measurable Outcomes