Application Support and SRE Engineer

Role: Application Support and SRE Engineer
Location: New York, NY 10019 (Hybrid 3 Days Onsite)
Duration: Long-Term Contract
Interview: Video Onsite
Experience: 10 15+ Years

We are seeking a highly skilled Application Support & SRE Engineer . This group provides engineering, automation, containerization, observability, and elevated production support services across multiple business units.

The ideal candidate will have strong experience with Linux, Kubernetes/OpenShift, automation (Shell/Python), CI/CD, web servers, and SRE practices.

This is a hands-on engineering role, NOT a 24/7 production support position.

• Provide application support, troubleshooting, and technical analysis for infrastructure and application issues

• Contribute to SRE practices including automation, toil reduction, resiliency, and observability

• Deploy and onboard applications onto Kubernetes/OpenShift container platforms

• Automate repetitive processes using Shell, Python, and Ansible

• Work with cross-functional teams: Infrastructure, Security, Network, Storage, Database

• Implement and update monitoring/alerting using Prometheus, Grafana, OpenTelemetry

• Ensure applications meet performance, scalability, and disaster recovery requirements

• Create reusable design patterns and maintain documentation

• Participate in incident management and post-incident reviews

• Occasional weekend/on-call rotation as needed

• 10 15 years of hands-on experience as Application Support, Middleware, SRE, or DevOps Engineer

• Strong Linux/Unix administration & troubleshooting (RHEL 7/8/9)

• Hands-on experience with Kubernetes or OpenShift

• Automation using Python, Shell, and Ansible

• Experience with CI/CD pipelines (GitHub, Jenkins, GitLab CI)

• Strong understanding of networking, storage (NAS/SAN), load balancers, proxies, SSL

• Experience with Apache or Nginx for configuration and web server support

• Experience troubleshooting distributed applications and incident management

• Knowledge of SRE principles, SLIs/SLOs, error budgets

• Familiarity with Prometheus, Grafana, OpenTelemetry and monitoring best practices

• Experience in secure enterprise environments (SSO, OAuth/SAML, encryption standards)

• Experience with Kafka, Redis, Airflow

• Big Data platforms: Hadoop, Cloudera, ELK Stack

• Cloud experience: AWS / Azure / Google Cloud Platform

• Identity management: OIDC, OAuth, SAML, LDAP

• Performance tuning, capacity planning

• Experience in a large financial institution