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# DevOps/SRE Engineer

- **Company:** Spectraforce
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Bash Shell, Continuous Integration, DevOps, Disaster Recovery, Distributed Systems, Identity and Access Management, Java Virtual Machine (JVM), Python (Programming Language), Key Management, Load Testing, Spinnaker, Load Balancing, Delivery Pipeline, Spring-boot, State Machines, AWS Fargate, Apache Kafka, Route53, Functional Programming, Cloudwatch, Terraform, Splunk, Dynatrace, Jenkins
- **Published:** November 4, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=d10e851c-da9f-455b-acc7-5f6354e443df&OrgId=1&UserId=6484

## About the Role

* 5+ years in SRE, production engineering, or DevOps roles supporting customer-facing distributed systems.
 * Strong hands-on AWS experience: ECS/Fargate, load balancers, Route 53, Lambda, Step Functions,S3, IAM, KMS, Secrets Manager, CloudWatch.
 * Production Terraform experience: modules, remote state, cross-workspace dependencies, and safeplan/apply workflows.
 * Deep observability skills with at least one APM tool and one log analytics platform (e.g., Dynatrace,Splunk). Experience defining SLOs and actionable alerting.
 * Able to read and troubleshoot Java/Spring Boot services, including reactive frameworks, JVM tuning in containers, and resilience libraries.
 * Working knowledge of Kafka in production: consumer groups, lag, and retry/dead-letter patterns.
 * Experience with blue/green or canary deployments and CI/CD tooling (e.g., Jenkins, Spinnaker).
 * Proven incident-handling experience and strong documentation skills.
 * Scripting and automation in Python, Bash, or Go.

## Description

Observability and incident response

 * Build and improve monitoring, dashboards, and alerting across a distributed microservices platform, using APM, cloud-native metrics, and log analytics tools.
 * Define service level indicators and objectives (SLIs/SLOs) for key customer journeys, and set up error-budget tracking.
 * Support incident response and post-incident reviews. Write and maintain operational runbooks.

Resilience and disaster recovery

 * Review, test, and improve multi-region disaster recovery and failover processes, including running failover exercises.
 * Validate resilience patterns such as circuit breakers, retries, bulkheads, and timeouts against how dependencies really behave.
 * Plan and run chaos experiments and game days.

Performance and capacity

 * Set up a performance and load testing practice: baselines, repeatable test suites, and regression checks in the delivery pipeline.
 * Analyze capacity and right-size container workloads, JVM settings, and autoscaling. Find savings incloud costs.

Infrastructure, delivery, and automation

 * Contribute to and review infrastructure-as-code (Terraform) across multiple environments.
 * Improve CI/CD and deployment safety: blue/green and canary releases, post-deploy verification, and automated rollback signals.
 * Automate operational toil, such as event-reprocessing workflows, health reporting, and drift detection.

Operational security

 * Strengthen operational security hygiene: certificate lifecycle, secrets management, least-privilege access, and keeping sensitive data out of logs.
 * Work with application engineers, QA, and dependent teams to embed reliability into design and deliver