Senior Site Reliability Engineer

DigiTran Technologies Inc.
Mundelein, IL, United States
3 days ago
Apply on www.thejobnetwork.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services C Sharp (Programming Language) Cloud Computing Cloud Computing Security Cloud Engineering Computer Programming Continuous Integration Data Integrity Data Recovery Software Debugging DevOps
+22 more
Disaster Recovery Github Monitoring of Systems Identity and Access Management Python (Programming Language) Reliability Engineering Zero Trust Network Access Datadog Delivery Pipeline Grafana Gitlab Cloudformation Containerization Kubernetes Infrastructure Automation Frameworks Deployment Automation Cloudwatch Terraform Devsecops Serverless Computing Docker Jenkins

Job description

Senior Site Reliability Engineer to join our team of qualified, diverse individuals. The ideal candidate will play a critical role in ensuring the reliability, resilience, and recoverability of mission essential platforms by leading infrastructure level disaster recovery drills, platform rebuild validation, and automated deployment processes. This engineer will partner closely with cross functional teams to maintain and enhance complex cloud-based environments, integrate modern automation solutions, and support largescale modernization and continuity efforts across high visibility programs., * Supporting full lifecycle platform portability and disaster recovery (DR) drill execution, including validation of platform rebuild procedures and DR playbooks.

\n

  • Executing infrastructure level drill activities to ensure the platform can be fully rebuilt within the 48hour recovery target.

\n

  • Verifying end to end data completeness, integrity, and accuracy during drill exercises, documenting results and remediation recommendations.

\n

  • Identifying exit readiness gaps across infrastructure, deployment automation, monitoring, and data recovery processes, and driving corrective actions with engineering teams.

\n

  • Designing, implementing, and supporting automated IaaC workflows utilizing Terraform, AWS CloudFormation, and standardized CI/CD pipelines.

\n

  • Managing and optimizing Kubernetes clusters and containerized workloads (Docker), including cluster provisioning, scaling, and workload reliability improvements.

\n

  • Building and maintaining observability solutions using CloudWatch, Datadog, and other monitoring/alerting tools to ensure service reliability and proactive incident response.

\n

  • Developing automation, tooling, and scripts using Python or Java to reduce manual processes and enhance operational repeatability.

\n

  • Collaborating with platform engineering, security, applications, and data teams to ensure consistent, secure, and compliant platform operations.

\n

  • Participating in on call rotations, root cause analyses, and incident response activities to improve system resilience and operational excellence.

Requirements

  • Bachelor’s degree and 8-10 years of relevant SRE, DevOps, cloud engineering, or infrastructure engineering experience; Master’s degree with 6-8 years; or equivalent experience in lieu of a degree (consistent with Client posting patterns).

\n

  • Expert level hands on knowledge of AWS services across compute, networking, storage, IAM, and serverless components.

\n

  • Strong experience with Infrastructure as Code (Terraform, CloudFormation) and infrastructure automation principles.

\n

  • Experience building CI/CD deployment pipelines and progressive delivery mechanisms using GitHub actions or similar tools

\n

  • Deep understanding of Kubernetes administration, container orchestration, and Docker based deployments.

\n

  • Proven experience validating DR processes, performing system rebuilds, and conducting data integrity checks.

\n

  • Experience building monitoring tools like dashboards, metrics, logs, and alerting systems using CloudWatch, Datadog, or similar observability tools.

\n

  • Proficiency with programming/scripting languages such as Python, Java, or C# or Go.

\n

  • Experience debugging complex failure modes, including cascading failures, network partitions, backpressure, and eventual consistency issues.

\n

  • Strong analytical and documentation skills with the ability to clearly communicate technical findings to cross functional teams.

\n

  • Ability to work in a fast-paced environment supporting high visibility, mission critical systems., n

  • AWS DevSecOps Engineer certification (preferred).

\n

  • Additional AWS certifications (Solutions Architect, SysOps, Developer) and/or Kubernetes certifications (CKA, CKAD).

\n

  • Familiarity with Zero Trust security models and cloud security best practices.

\n

  • Experience with GitLab, Jenkins, or similar CI/CD platforms.

\n

  • Experience with highly regulated environments (healthcare, finance, DHS, DoD, CMS, etc.).

\n

  • Experience supporting federal, defense, or largescale enterprise programs involving legacy-to-cloud modernization.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.thejobnetwork.com
Prepare application

Good distractions

Loading talks and stories from around this role…