Site Reliability Engineer (SRE)
Site Reliability Engineer (SRE)
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Job Description
We are looking for Site Reliability Engineer (SRE) who is based out of Reston VA.
These roles are Hybrid Role with 3 Days a week to Reston Office
Role : Site Reliability Engineer (SRE)
Description:
We are seeking a highly skilled and experienced Site Reliability Engineer (SRE) to join our team. The ideal candidate will have a strong background in cloud platforms DevOps practices and modern software development frameworks. The SRE will play a critical role in designing building and maintaining highly scalable fault-tolerant and secure cloud infrastructure while ensuring operational excellence high availability and reliability.
Key Responsibilities:
1. Cloud Infrastructure & Automation:
Design implement and manage cloud-based infrastructure using platforms like AWS Azure or GCP.
Utilize Infrastructure-as-Code (IaC) tools such as Terraform CloudFormation and Ansible to automate deployments and configurations.
Create robust automation targeted at anomaly detection toil reduction recovery processes and self-healing mechanisms and optimize cloud costs.
2. DevSecOps & CI/CD:
Deep understanding of DevSecOps principles and CI/CD pipelines using tools like GitLab Jenkins SonarQube Nexus/Artifactory and Docker.
Implement security best practices including IAM roles RBAC vulnerability remediation and SAST/DAST/SCA tools.
3. Observability & Incident Management:
Design and implement monitoring logging and distributed tracing solutions using tools like AWS CloudWatch Splunk/SignalFX Dynatrace and OpenTelemetry.
Lead root cause analysis blameless postmortems and proactive incident management to minimize MTTR and MTTD.
Define and monitor SLOs SLIs and error budgets to ensure system reliability.
4. Microservices & API Management:
Architect and manage microservices serverless computing and RESTful APIs.
Ensure fault tolerance and resilience using design patterns like Circuit Breaker Retry Timeout and Bulkhead.
5. Chaos Engineering & Resiliency:
Conduct chaos engineering experiments using tools like AWS FIS and Chaos Toolkit.
Perform resiliency assessments using Resilience Hub and implement self-healing solutions.
6. Database & Application Support:
Manage and optimize database technologies such as PostgreSQL MongoDB DynamoDB Oracle and Redshift.
Provide production support including incident response problem management and runbook creation. Participate in on-call rotations.
7. Collaboration & Communication:
Collaborate with cross-functional teams to implement shift-left testing practices (BDD TDD Unit Regression).
Create and maintain architecture diagrams knowledge articles and disaster recovery plans.
Communicate effectively with stakeholders and demonstrate strong relationship management skills.
Required Skills & Qualifications:
Expertise in cloud platforms (AWS Azure or GCP) and container orchestration.
Proficiency in programming/scripting languages such as Python Java Bash and PowerShell.
Strong knowledge of database technologies (e.g. PostgreSQL MongoDB DynamoDB Oracle Redshift).
Experience with DevOps tools (Jenkins Docker Nexus/Artifactory) and build tools (Maven Gradle).
Familiarity with AI/ML integrations event-driven architectures and distributed systems.
Expertise in observability logging and monitoring tools (AWS CloudWatch Splunk Dynatrace OpenTelemetry).
Strong understanding of security practices including IAM RBAC and vulnerability management.
Experience with chaos engineering resiliency assessments and disaster recovery planning.
Proficiency in performance testing tools (JMeter LoadRunner) and capacity planning.
Excellent verbal and written communication skills with the ability to collaborate across teams.
8 years of related experience in their specific area with experience leading teams on projects with similar scope and complexity.
Bachelors or masters degree in computer science or equivalent.
Certifications: AWS Solutions Architect Agile Certified Practitioner (ACP) or relevant cloud certifications.
Preferred Qualifications:
Experience with AI/ML libraries (e.g. NLTK Transformers Spacy SciPy) Amazon SageMaker and GenAI tools.
Familiarity with project management tools like JIRA Confluence and ServiceNow.
Knowledge of utilities like AWS CLI POSTMAN and curl.
Employment Type
Full Time
