Automate the repetitive work. Turn manual, repeatable tasks into scripts, Ansible playbooks, and workflows — from install steps to diagnostics to log collection.
Build the tools you need. Write and maintain internal utilities for health checks, log analysis, deployment, and support workflows, including AI agent-based tools built with Strands Agents and Amazon Bedrock.
Qualifications
Required
10+ years in technical support, support engineering, systems engineering, DevOps, or a related role supporting complex enterprise software.
Proven experience in a lead role — leading a team, owning escalations, or driving technical projects.
Hands-on experience installing and supporting software in customer environments, both on-premises and in AWS.
Deep, hands-on Linux administration experience (RHEL 8/9, CentOS Stream 9, Amazon Linux 2023): services, networking, storage and mounts, users and permissions, SELinux, firewalld, repositories (including air-gapped environments), performance tuning, and log analysis.
SSH: secure remote access, key management, tunneling, and hardening, often in customer environments with tight security controls.
Strong shell scripting skills, plus Ansible for automation.
Hadoop ecosystem (HDFS, HBase, ZooKeeper): installing, operating, and troubleshooting clusters, region servers, and data access problems.
PostgreSQL and SQL databases: administration, query troubleshooting, backup and restore, performance tuning, and upgrades.
Keycloak: configuring and troubleshooting realms, clients, SSO, OIDC/SAML, 2FA, and integration with Entra ID, Okta, and LDAP/Active Directory.
TLS/SSL certificates: installing, renewing, and troubleshooting certificates, both customer-provided and self-signed.
Java: comfortable reading code, analyzing stack traces, thread dumps, and heap issues, and tuning JVM-based services.
AWS: EC2, S3 (including pre-signed URLs), IAM, VPC, CloudWatch, and Lambda, with the ability to stand up and troubleshoot a multi-node environment.
Preferred
Experience with Docker and Kubernetes.
Familiarity with Apache Flink, Apache Kafka, and Apache NiFi — enough to troubleshoot streaming jobs and ETL pipelines.
Comfortable working with JSON, XML, CSV, and other data formats.