Consulting Site Reliability Engineer

Primary Responsibilities:

Ensuring maturation of Analytics development processes over time through flexibility and automation

Consulting and providing expertise on technical solution options, and contributing to decision-making discussions in areas such as serverless computing, containerized workloads, and big data

Remaining up-to-date on internal and industry-wide best practices related to those solutions

Evangelizing best practices for cloud architecture and the key pillars of cloud application operations

Developing and ensuring delivery of resilient infrastructure designs using Infrastructure-as-Code

Performing knowledge transfer for SRE, Application and Support team resources when needed

Diagnosing and resolving potentially complex infrastructure, integration, and application issues

Improving standardization and automation within maturing processes to enhance efficiency

Performance testing and tuning to ensure production workloads are supported

Monitoring and supporting critical business applications to ensure SLAs are met

Understanding and implementing defensive, detective and corrective controls

Assisting in the development and/or implementation of comprehensive information security procedures and practices to reduce attack surfaces and comply with best practices

Augmenting project and systems documentation for technical and non-technical audiences

High-Value Professional Experience and Skills:

Leadership/design of application and/or infrastructure migration projects from on-prem to cloud

Proven expert in partnering and leading technology resources in solving complex business needs

Cloud architecture design and implementation to solve key business needs and meet team goals

Experience with Azure Machine Learning

Experience with Databricks and Azure Data Factory

Infrastructure-as-Code (IaC) tools (Prefer Terraform; Related: Ansible, Puppet, ARM templates)

Automated CI/CD pipelines (Prefer GitHub Actions; Related: Jenkins, Argo CD)

Containerized workloads (Prefer AKS & Helm; Related: EKS, other K8s distributions, Docker, JFrog)

Serverless solutions (e.g. Logic Apps, Function Apps, Functions, WebJobs, AWS Lambda)

Logging and monitoring tools (e.g., Fluentd, Prometheus, Grafana, Azure Monitor, Log Analytics)

Network Security (e.g. Azure Policy, Active Directory/RBAC, ACLs, NSG rules, private endpoints)

Other Desirable Professional Experience and Skills:

Strong and enthusiastic technologist, able to demonstrate broad technical cloud knowledge

Ability to act as a point of expertise, sharing knowledge and advising on best practices

Strong budgeting/finance skills and experience with cost management

Multi-component system integration and troubleshooting

Performance analysis and tuning

Secrets management (Prefer Hashicorp Vault; Related: Azure Key Vault, Secrets Manager)

Kubernetes service meshes (Prefer Linkerd; Related: Istio, Traefik mesh)

Coding/scripting (e.g., Linux/Bash/Sh, Windows/PowerShell/Batch, Python, Java)

Event handling (e.g., Kafka, Rabbit MQ, Redis Streams, Event Hubs, Service Bus)

Load balancing and service proxies (e.g., Nginx, Traefik, HAProxy, F5)

Other products in use: Jira, Confluence, Azure Storage Explorer, MySQL Workbench, Maven

Basic Professional Experience and Skills:

Knowledge of SDLC and change control, and associated procedures

Common source code control tools and repositories (e.g., Git/GitHub/GitLab, VS Code, SVN)

Ability to describe and discuss technical solutions with various audiences

Required Education and Length of Professional Experience:

10+ years professional experience, including demonstrable success in project leadership roles

5+ years professional experience in DevOps or SRE roles on a major cloud platform

BSc+ in Engineering/Computer Science/IT, advanced degree preferred

Industry certification for Cloud Developers/Architects (Prefer Azure; Related: AWS, GCP)