AppD Senior DevOps Engineer

2 weeks ago

Austin, United States Cisco Full time

The successful applicant will be performing work in FedRAMP High or IL-5 environments, and therefore, must be a U.S. Person (i.e. U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee).  This position may also perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil.

Who we are

At AppDynamics, we're not just monitoring applications; we're advancing a critical toolset for modern IT operations. Our application performance monitoring platform leverages machine learning and artificial intelligence (AI) to provide real-time insights into IT environments. Our ground-breaking AIOps solution empowers teams to act conclusively with automated anomaly detection, swift root-cause analysis, and a comprehensive view of application ecosystems across all cloud environments. With AppDynamics, IT, DevOps, and business units converge to ensure stellar customer experiences and safeguard the bottom line.

Who you are

You are an experienced Platform Engineer or Site Reliability Engineer (SRE) with a broad knowledge of Kubernetes, cloud platforms (including AWS, Azure, GCP), and DevOps tools, with a strong emphasis on Terraform. Your expertise extends to administering Kubernetes clusters, managing service lifecycles, and problem-solving within large-scale, complex infrastructures.

Your technical proficiency is complemented by a specialization in a key area such as Istio, service mesh, Kafka, or Vault, enhancing the team's capabilities. You possess the agility to work across various domains and have the curiosity and diagnostic acumen necessary for in-depth troubleshooting, often coordinating with subject matter experts.

The role involves contributing to both established and innovative projects, with a readiness to navigate and support a FedRAMP environment. You are comfortable with the scale of the infrastructure and are proactive in driving improvements and automating processes to advance the team's operations.

What you’ll do

As a DevOps Engineer, you are responsible for contributing to the stability of our high-availability SaaS platform. You will work with a team of engineers to deploy microservices within our technology environment. Your role involves maintaining operational quality, which supports the scaling of services across different geo-locations and cloud providers. Your work includes leading initiatives for platform improvements and technological advancements, as well as conducting infrastructural upgrades that strive to be flawless to the end-user. You play a key role in encouraging a shift towards a more integrated DevOps model, positioning you as a valuable member of the organization's ongoing development.

Apply your outstanding troubleshooting and problem-solving skills to address challenges swiftly and efficiently. Take ownership of building and refining our infrastructure, enabling rapid and reliable service deployments. Documenting standard processes and spearheading improvements to our systems and processes. Advance our commitment to 'Infrastructure as Code’, driving innovation and efficiency in our deployment strategies. Develop and optimize our data ingestion pipeline, ensuring it operates seamlessly 'as a service’. Collaborate across teams to maintain service uptime, improve monitoring, and streamline incident response processes.

Basic Qualifications:

5+ years of combined experience in Site Reliability, DevOps, and/or Software Development, in a growth-stage or enterprise-level SaaS environment. Proficiency in Unix/Linux system administration, with a focus on RedHat Linux (CentOS), Amazon Linux, or Azure Linux. Experience in cloud services operations, including AWS, Azure, or GCP. Coding/scripting skills with languages such as Terraform or Python, and a track record of implementing automation in production environments. Experience in virtualization and containerization (Docker), orchestration (Kubernetes), and tools facilitating deployment (Istio/Helm/Kube2Iam).

Preferred Qualifications:

Experience scaling and handling distributed data stores and services (e.g., Kafka, Elasticsearch), with a keen interest in Lambda architecture. Experience in developing, deploying, and managing systems with an emphasis on high-availability, low-latency, and scalability. Experience with big data platforms and engineering. Willingness and ability to provide on-call support as needed.

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