Wissen Technology is hiring for Azure Dev

Ops / SRE + Python

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent.

Our mission is clear:

to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary: We are seeking a highly motivated Azure Dev

Ops / SRE Engineer with 5–9 years of experience to support, automate, and enhance cloud‑native applications running on Microsoft Azure. The ideal candidate will have strong hands‑on experience in Azure services, SRE practices, infrastructure automation, and Python-based tooling. This role focuses on operational reliability, automation, monitoring, incident resolution, and improving platform performance, observability, and resilience.

Experience:

5- 9 Years

Location: Bangalore

Mode of Work: Hybrid

Key Responsibilities:

Manage and support Azure-based production environments, ensuring stability, performance, and availability.
Implement SRE practices including SLIs, SLOs, error budgets, alert tuning, and toil reduction.
Develop automation scripts and internal tooling using Python for reporting, integrations, and operational workflows.
Work with Azure Monitor, Log Analytics, Application Insights, and create dashboards, alerts, and KQL queries.
Deploy, manage, and troubleshoot Azure services including App Services, Functions, AKS, Storage, Key Vault, Azure SQL, Service Bus, Event Hub, etc.
Implement and maintain CI/CD pipelines using Azure Dev

Ops, Git

Hub Actions, Jenkins, or similar tools.

Use Terraform/Bicep/ARM templates for infrastructure provisioning and automation.
Troubleshoot incidents across application, infrastructure, and network layers, performing root cause analysis.
Improve platform reliability through automation, observability enhancements, and performance optimization.
Collaborate with development, product, and platform engineering teams on deployments, releases, and reliability improvements.

Required Skills and Qualification

Strong hands-on experience with Microsoft Azure cloud services.
Proven experience in SRE, Dev

Ops, platform engineering, or production support roles.

Strong Python scripting experience for automation, integrations, reporting, and tooling.
Good understanding of Azure SDK, REST APIs, Azure CLI, Bash, or Power

Shell.

Experience with Azure Monitor, Application Insights, Log Analytics, KQL, dashboards & alerts.
Strong knowledge of Azure networking: VNets, subnets, NSGs, Private Endpoints, Load Balancers, App Gateway, Azure Front Door.
Experience with Terraform, Bicep, ARM templates, or similar IaC tools.
Hands-on experience building and maintaining CI/CD pipelines.
Good understanding of Linux and Windows environments.
Strong expertise in incident management, troubleshooting, RCA, and operational excellence.
Knowledge of SRE fundamentals (SLA, SLO, SLI, MTTR, MTTD, reliability engineering).

Good to have Skills

Experience with Kafka, Service Bus, Event Hub, or high‑volume messaging systems.
Exposure to Fin

Ops, cost‑optimization, or cloud governance.

Experience working in financial services or other highly regulated environments.
Familiarity with container platforms (AKS, Docker) and distributed systems.
Knowledge of advanced observability tools (Prometheus, Grafana, Datadog).
Experience collaborating with globally distributed teams.

Wissen Sites: