Exp-054 - Senior Cloud Engineer/Python Developer

Senior Cloud Engineer/Python Developer

Location: Durham, and Merrimack, NH are preferred, TX if they can't do NC or MMK.  - Onsite 1 week per month.

Required:

• We aren't targeting a Devops Engineer.
• We're looking for an Engineer who has a programmer background and is coding every day, who also has strong cloud skills and can deploy applications in the cloud.
• He is going to want a strong development background in Python or Golang, (no Java anymore) and very strong AWS cloud skills in API Gateway, and Lambda experience.
• They will also need to have some experience in Observability within either Splunk, Data Dog, Prometheus, etct.
• Not an expert by any means, but some knowledge or experience will be required.
• Interview Process: 2 rounds, first round is the coding exercise, second round will be with Manager.
• We are looking for a dedicated engineer to help build and scale our public cloud platforms.
• This engineering team is responsible for building scalable solutions to provide observability across the enterprise.
• The team works on diverse challenges that require engineers to work on building engineering solutions from scratch or building on opensource solutions.
• Ideal candidates will have a background in building software engineering products and good understanding of observability concepts.
• Good fit for full stack developer and opportunity to work on mostly backend and some front-end development.
• The Expertise We're Looking For  5+ years of hands-on experience deploying and/or supporting highly distributed multi-tiered systems at scale.
• Deep practical knowledge and experience developing solutions using languages like Python, or Golang. Any opensource implementation exp.
• Design thinking mindset in architecting solutions with scale and resiliency Experience working on Logging, Metrics, and Tracing frameworks and understanding of Logging and Metrics Data Models.
• Observability exp with Data Dog, or Splunk, or Prometheus.
• Not an expert, but some knowledge and experience required.
• Hands-on experience with public cloud environments in AWS, API gateway exp, and Lambda.
• Experience in Infrastructure as Code, CI/CD tools (Jenkins, GitHub, Artifactory, JIRA, ansible, Terraform, Cloud Formation Templates etc...) Experience working on large-scale projects, working in an agile methodology.
• Hands-on experience with container orchestration, preferably with Kubernetes Hands-on experience with configuration management and automation tools Big plus having experience in building, enhancing, and supporting modern Observability platform (Open source or Vendor product) Experience operating and/or using modern observability tools at scale (Prometheus, Grafana, ELK, Jaeger, Open Telemetry, fluentD, fluentBit, Open Tracing, Datadog, Splunk, etc...) Noticeable contribution to opensource projects a big plus

JD:
We are looking for a dedicated engineer to help build and scale our public cloud platforms. This engineering team is responsible for building scalable solutions to provide observability across the enterprise. The team works on diverse challenges that require engineers to work on building engineering solutions from scratch or building on opensource solutions. Ideal candidates will have a background in building software engineering products and good understanding of observability concepts.

• Good fit for full stack developer and opportunity to work on mostly backend and some front-end development.
• The Expertise We're Looking For  5+ years of hands-on experience deploying and/or supporting highly distributed multi-tiered systems at scale.
• Deep practical knowledge and experience developing solutions using languages like Python, or Golang.
• Any opensource implementation exp.
• Design thinking mindset in architecting solutions with scale and resiliency
• Experience working on Logging, Metrics, and Tracing frameworks and understanding of Logging and Metrics Data Models.
• Observability exp with Data Dog, or Splunk, or Prometheus. Not an expert, but some knowledge and experience required.
• Hands-on experience with public cloud environments in AWS, API gateway exp, and Lambda. Experience in Infrastructure as Code, CI/CD tools (Jenkins, GitHub, Artifactory, JIRA, ansible, Terraform, Cloud Formation Templates etc...)
• Experience working on large-scale projects, working in an agile methodology.
• Hands-on experience with container orchestration, preferably with Kubernetes
• Hands-on experience with configuration management and automation tools Big plus having experience in building, enhancing, and supporting modern Observability platform (Open source or Vendor product) Experience operating and/or using modern observability tools at scale (Prometheus, Grafana, ELK, Jaeger, Open Telemetry, fluentD, fluentBit, Open Tracing, Datadog, Splunk, etc...)
• Noticeable contribution to opensource projects a big plus The Value You Deliver Help define and execute a comprehensive cross-platform observability strategy, ensuring that Fidelity's systems are always available when our customers need them.
• Bring together technical, procedural, and financial data to reduce toil and increase efficiency.
• Troubleshoot stack-wide engineering issues related to hardware, software, network, applications, and cloud service providers.
• Take part in peer code reviews providing qualitative feedback and facilitate and learning environment through equitable exchange of ideas