Job Description

Responsibilities:

Function as Lead Software Engineer from Engineering & support perspective focussing on day-to-day Technology operations & service excellence including Incident & Problem Management -SEV (Severity) management, ensuring adherence to SLA & Support metrics and driving

technical product enhancements

to improve operational efficiency & system stability.
Strong expertise in AWS Cloud skills & Python development, Cloud migration experience including good understanding of software Engineering concepts, CI/CD pipeline tools & integrations.
Experience in Kanban & Scrum methodologies is preferred.

Key Responsibilities:Strong knowledge on AWS Cloud & Python Development to design and implement robust, scalable, and secure systems aligned with business goals Apply deep understanding of software Engineering frameworks, methodologies, and standard operating procedures to design, develop and maintain scalable and reliable systems. Responsible for day-to-day operations within Technology Operations including SEV management, On Call Support & SLA compliance & Incident reductions Documentation of key processes and applications, manage Knowledge transitions & keep focus on continues process improvement. Lead the team on process enhancements, build dashboards & system health improvement initiatives Understands and adheres to development methodology, standards and Principles. Identifies potential process improvements. Creating technical documentation around business requirements with clarity, completeness, and specifics. Work with diverse teams & aid in areas of issue resolutions, deep dive analysis & troubleshooting.

Service excellence:+ As part of On-Call Support , report & handle SEV1, incident & Problem Management (SLA bound). + Explore ways to conduct post-incident reviews and integrate learnings into continuous improvement cycles to reduce recurrence of critical issues.


Product Health Improvement Initiatives:+ Analyse key metrics to identify trends and patterns, perform root cause analysis (RCA), and propose engineering-driven enhancements to product features aimed at improving the Technical Application Score. + lead and Leverage automation and tooling to streamline RCA and accelerate the deployment of corrective actions.


Security & Environment Management+ Support & remediate critical and high security vulnerabilities, ensure code deployments & pipeline migrations as per Engineering standards. + 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.


Qualifications:

Graduate - Bachelor's degree (any stream)

AWS Developer certification would be an added advantage
Additional Information:

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