Senior Mainframe Systems Programmer - Site Reliability Engineering

About Us

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com

Job Role

We are seeking a visionary Mainframe Site Reliability Engineer (SRE) to redefine the reliability, automation, and efficiency of our mission-critical z/OS systems. This role combines deep mainframe expertise with cutting-edge SRE practices, focusing on innovations in observability, AI-driven operations, and DevOps integration to transform legacy workflows into modern, self-healing systems. You will drive initiatives to eliminate manual toil, optimize performance, and ensure the platform’s resilience aligns with business-critical service level objectives (SLOs).

Job Responsibilities

1.SRE-Centric Innovation & Automation

- Automation Engineering:

- Design and deploy Infrastructure-as-Code (IaC) solutions using Ansible, Zowe CLI, and z/OSMF workflows to automate system provisioning, configuration management, and recovery processes.

- Develop self-healing workflows for critical subsystems (CICS, Db2, IMS) to auto-resolve incidents like JVM failures or transaction bottlenecks.

- Convert legacy operational scripts (REXX, NCL) into modern, version-controlled pipelines integrated with Git and CI/CD tools like Jenkins.

- AI-Driven Observability:

- Implement predictive analytics tools (e.g., IBM Watson AIOps, Splunk ITSI) to detect anomalies in system metrics, logs, and message queues.

- Build dashboards using Grafana or Prometheus to visualize the Four Golden Signals (latency, traffic, errors, saturation) across mainframe workloads.

- Centralize alert management to reduce noise and prioritize actionable alerts using AI-driven correlation.

1. DevOps Integration & Modernization

- CI/CD for Mainframe:

- Streamline software delivery pipelines for COBOL/PL/I applications using IBM Dependency-Based Build (DBB) and UrbanCode Deploy (UCD).

- Integrate mainframe SDLC processes with enterprise Git repositories (GitHub, GitLab) to enable collaborative development and audit trails.

- Enable automated testing and phased rollouts for z/OS middleware updates.

- Performance & Capacity Engineering:

- Optimize CPU/MIPS utilization through runtime tuning (e.g., CICS Threadsafe, AT-TLS offloading) to reduce software licensing costs.

- Forecast capacity demands using historical SMF/RMF data and propose dynamic hardware scaling strategies.

- Conduct load testing for batch and OLTP workloads to validate system lim