SRE Engineer Java Buffalo, NYC

SRE Engineer with Java

Contract

Location:

Onsite in Buffalo NYC

• Define, measure, and enforce SLOs, SLAs, and error budgets across all critical services.
• Own incident management end-to-end: detection, triage, escalation, mitigation, and post-mortems.
• Build and maintain runbooks, playbooks, and on‑call rotation schedules.
• Conduct blameless post‑incident reviews and drive systemic improvements to prevent recurrence.

• Design and maintain Java‑based microservices, reliability tooling, and automation frameworks.
• Collaborate with development teams to embed SRE best practices during the SDLC (code reviews, CI/CD gates).
• Implement chaos engineering experiments to proactively surface weaknesses in production systems.
• Develop self‑healing automation scripts and toil‑reduction tooling in Java and Python/Shell.

• Design and own the full observability strategy: structured logging, distributed tracing, and real‑time metrics.
• Build, maintain, and optimize Kibana dashboards, index patterns, and Elasticsearch pipelines for log analytics.
• Configure and manage Dynatrace monitoring — including One Agent deployment, Davis AI problem detection, service flows, and synthetic monitoring.
• Create alerting rules and anomaly detection policies in Dynatrace aligned to SLO thresholds.
• Correlate signals across Kibana and Dynatrace to enable rapid root cause analysis during incidents.

• Manage and improve CI/CD pipelines (Jenkins, Git Hub Actions, or similar) for reliability‑focused deployments.
• Support Kubernetes/Docker‑based infrastructure; optimize resource utilization and autoscaling policies.
• Collaborate with Security and Compliance on hardening production environments and managing vulnerabilities.
• Drive capacity planning, load testing, and performance benchmarking initiatives.

• 10+ years of hands‑on SRE, Dev Ops, or backend engineering experience in production environments.
• Strong Java development proficiency — Spring Boot, microservices architecture, REST APIs, JVM tuning.
• Demonstrable expertise with Kibana — dashboard creation, KQL queries, index lifecycle management (ILM), Beats/Logstash pipelines.
• Hands‑on Dynatrace experience — One Agent, Smartscape topology, Davis AI, SLO configuration, Synthetic monitoring, DQL/USQL.
• Solid understanding of distributed systems, fault tolerance patterns, and CAP theorem.

• Proficiency in at least one scripting language:
  Python, Bash, or Groovy.
• Experience with containerization (Docker) and orchestration (Kubernetes / Open Shift).
• Familiarity with cloud platforms — AWS, GCP, or Azure — and IaC tools such as Terraform or Ansible.

• Experience defining and managing SLIs, SLOs, SLAs, and error budgets.
• Proficiency with incident management workflows and tools (Pager Duty, Ops Genie, or similar).
• Knowledge of capacity planning, load testing tools (JMeter, Gatling, k6), and performance optimization.
• Strong understanding of networking fundamentals: DNS, TCP/IP, HTTP/HTTPS, TLS, load balancing.