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Site Reliability Engineer

Aaditus
Jersey, NJ Full Time
POSTED ON 4/8/2025 CLOSED ON 4/10/2025

What are the responsibilities and job description for the Site Reliability Engineer position at Aaditus?

Job Details

Role: Site Reliability Engineer

Location: Jersey City, NJ CHANDLER Arizona, KENNESAW Georgia ( 3 days onsite 2 days remote)

Experience : 15 years

15 years of combined experience in either SRE, software development, or infrastructure engineering (10 years with an advanced degree in Computer Science or related technical field).
7 years of hands-on experience building and maintaining cloud platforms on a major cloud service provider.
Strong experience in implementing, monitoring, and maintaining a highly scalable and resilient Data Services platform on Amazon Web Services
Strong experience with monitoring tools such as Grafana, Prometheus, Splunk, or Dynatrace, as well as AWS native tools like CloudWatch CloudTrail, Azure Monitor and Log Analytics
Proficiency in implementing, monitoring, and maintaining a Databricks, RDS, or OpenAI platform.
Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net; 5 years applied experience in Python/Java
Proficiency in implementing CI/CD pipelines with tools such as git and Jenkins, familiarity with using a GitOps model.
Strong experience working with a complex IAM infrastructure, including Active Directory, Azure AD Connect, Azure AD, and PingIdentity, Okta, or other SSO solutions.
Proficiency in creating automation using Python, Terraform, or Ansible
Proficiency in implementing, monitoring, and maintaining a Databricks, CosmosDB, or OpenAI platform.
Experience in implementing, monitoring, and maintaining a highly scalable and resilient enterprise platform on Microsoft Azure using native services related to compute, storage, networking, security, and observability.
Experience with containerization technologies such as EC2, EKS, Fargate, Openshift, or Kubernetes.
Understanding of cost management, inventory management, FinOps model
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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