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IT services & staffing, specializing in digital transformation solutions

Senior Site Reliability Engineer

  • Glen Burnie
  • |8 years of exp
  • |Contract
Posted: 1 week ago• Recruiter recently active
Job Location
Glen Burnie
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
Java
Programming
Networking
Metrics
Dashboards
Storage
Analytical skills
Docker
Scripting
AWS CloudFormation
Monitoring tools
Infrastructure Automation
Kubernetes
DataDog
Terraform
IAM
Infrastructure as code
aws services
CloudWatch
Container Orchestration
GitHub Actions
Compute
Documentation Skills
Observability Tools
Logs
Alerting Systems
Kubernetes Administration
Serverless Components
Data Integrity Checks
CI/CD Deployment Pipelines
Backpressure
Cascading Failures
Network Partitions
DR Processes
Progressive Delivery Mechanisms
Docker Based Deployments
System Rebuilds
Debugging Complex Failure Modes
Eventual Consistency Issues

About the job

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.

Responsibilities

The Senior Site Reliability Engineer’s responsibilities shall include, but are not limited to:

• Supporting full lifecycle platform portability and disaster recovery (DR) drill execution, including validation of platform rebuild procedures and DR playbooks.

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

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

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

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

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

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

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

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

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

Basic Qualifications

• 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).

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

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

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

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

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

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

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

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

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

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

Preferred Qualifications

• AWS DevSecOps Engineer certification (preferred).

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

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

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

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

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

• Prior involvement in large scale DR drills, continuity of operations (COOP), or portability/executable readiness assessments.

About the company

DigiTran Technologies company logo
IT services & staffing, specializing in digital transformation solutions11-50 Employees
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