SA1 -Support Engineer - Run

 Roles & responsibilities

Lead and execute application and platform support across Azure and/or GCP, ensuring secure, scalable, and highly available environments.
Monitor & Support Azure services using CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI).
Working knowledge of Azure Application Insights and other monitoring tools is an added advantage.
Familiarity with application deployments using DevOps pipelines. 
Manage deployment‑related networking configurations, including load balancers, DNS, firewalls, and traffic routing to ensure availability and security.
Support deployment and operational management of data platforms such as Synapse, Data Factory, Kql, Cloud SQL, Dataproc, Dataflow, Pub/Sub, and Data Lakes.
Monitor production environments using native and third‑party tools; respond to alerts, incidents, and escalations as part of a 24x7 on‑call rotation.
Hands-on experience across the full project life cycle, including planning, application implementation, and creation of support and operational procedures.
Strong verbal and written communication skills with the ability to effectively engage stakeholders at all levels. Proven capability to prioritize tasks, delegate responsibilities, and foster high‑performing teams in a customer‑focused, collaborative environment.
Excellent troubleshooting, organizational, and multitasking skills, with the ability to manage multiple projects simultaneously.
Strong problem‑solving, independent decision‑making, and relationship‑building skills to support a service‑driven and teamwork‑oriented culture.
Drive cost optimization and performance tuning related to deployed workloads.
Mentor junior engineers in deployment best practices, operational readiness, and incident handling.
Continuously improve deployment automation, release efficiency, and platform reliability by adopting modern DevOps practices and tools.
Exposure to Generative AI (GenAI) tools and services is a plus, with the ability to integrate them into cloud-native workflows.

Roles & responsibilities

Lead and execute application and platform support across Azure and/or GCP, ensuring secure, scalable, and highly available environments.
Monitor & Support Azure services using CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI).
Working knowledge of Azure Application Insights and other monitoring tools is an added advantage.
Familiarity with application deployments using DevOps pipelines. 
Manage deployment‑related networking configurations, including load balancers, DNS, firewalls, and traffic routing to ensure availability and security.
Support deployment and operational management of data platforms such as Synapse, Data Factory, Kql, Cloud SQL, Dataproc, Dataflow, Pub/Sub, and Data Lakes.
Monitor production environments using native and third‑party tools; respond to alerts, incidents, and escalations as part of a 24x7 on‑call rotation.
Hands-on experience across the full project life cycle, including planning, application implementation, and creation of support and operational procedures.
Strong verbal and written communication skills with the ability to effectively engage stakeholders at all levels. Proven capability to prioritize tasks, delegate responsibilities, and foster high‑performing teams in a customer‑focused, collaborative environment.
Excellent troubleshooting, organizational, and multitasking skills, with the ability to manage multiple projects simultaneously.
Strong problem‑solving, independent decision‑making, and relationship‑building skills to support a service‑driven and teamwork‑oriented culture.
Drive cost optimization and performance tuning related to deployed workloads.
Mentor junior engineers in deployment best practices, operational readiness, and incident handling.
Continuously improve deployment automation, release efficiency, and platform reliability by adopting modern DevOps practices and tools.
Exposure to Generative AI (GenAI) tools and services is a plus, with the ability to integrate them into cloud-native workflows.

Mandatory  technical & functional skills
Hands‑on experience in automation (PowerShell) and strong knowledge of Azure PaaS services such as AKS, Synapse, Databricks, Azure SQL, and WAF.
Solid experience in DevOps pipelines, CI/CD, and infrastructure automation, with hands‑on usage of Azure DevOps (ADO).
Strong understanding of cloud architecture (compute, storage, networking) and monitoring (availability, performance, diagnostics, and logs).
Proven SQL expertise including Always On, replication, performance tuning, backup/restore, stored procedures, and query optimization.
Good C# / ASP.NET debugging skills and experience with Visual Studio and SQL Server Data Tools.
Strong ownership mindset with excellent communication skills; able to troubleshoot escalations, identify root cause, and drive issues to closure.
Passionate continuous learner, comfortable handling complex tasks and supporting escalated incidents.
Exposure to Generative AI (GenAI) is a plus.

This role is for you if you have  the below
Educational qualifications 
Bachelor’s degree in Computer Science, Engineering, or related field.
Minimum of 5+ years of experience in cloud first MS Azure infrastructures.
Strong analytical and conceptual thinking skills.
The ability to influence stakeholders and work closely with them to determine acceptable solutions.
Advanced technical skills.
Excellent documentation skills.
Fundamental analytical and conceptual thinking skills.
Work experience
5+ Years of Experience