Senior Devops Engineer / Lead Devops

Job Description

We are looking for a DevOps Sr Engineer / Lead to support application development, infrastructure and security from the start by automating workflows to keep the DevOps workflow from slowing down. The ideal individual should have the mindset of Automation with built-in security , not security that functions as a perimeter around apps and data. The candidate will work closely with the Architects, quality assurance and development teams throughout the application lifecycle to achieve application availability, scalability and operational effectiveness in the most secure way aligned with automation. The position also offers to achieve & maintain the uptime, performance and scalability of very low latency and high traffic apps hosted on microservice platforms. The candidate will work with cutting-edge technology leveraging Containers, Kubernetes, Jenkins, Saltstack, Kafka, Redis, RabbitMQ, Elastic Search, Git, Service Mesh, Prometheus, Loki etc. Roles and Responsibilities Bridging the gaps b/w core infra, security, QA and development team. Owning the end-to-end Availability, Performance, and Capacity of applications and their infrastructure and creating/maintaining the respective observability with Prometheus/New Relic/ELK/Loki. Provide 24X7 infra & app support, build processes and document tribal knowledge around the same time. Mentor and train L1 engineers and continually improve the app and infra-support processes. Managing application deployment & GKE platforms - automate and improve development and release processes. Creating, managing and maintaining data stores & data platform infra using IaC. Owning and onboarding new applications with the production readiness review process. Managing the SLO/Error Budgets/Alerts and performing root cause analysis for production errors. Working with Core Infra, Dev and Product teams to define SLO/Error Budgets/Alerts. Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks. Identifying observability gaps in application & infrastructure and working with stakeholders to fix them. Managing outages and doing detailed RCA with developers and identifying ways to avoid that situation. Automate toil and repetitive work. Experience & Skills 3+ Years of experience in managing high traffic, large-scale microservices and infrastructure with excellent troubleshooting skills. Experience in troubleshooting, managing and deploying containerized environments using Docker/containers, Kubernetes is a must. Must be proficient with the helm with experience in service mesh like Istio or Linkerd . Must be very hands-on in managing and troubleshooting the Kubernetes environment. Extensive experience with Linux administration and a good understanding of the various Linux kernel subsystems (memory, storage, network etc). Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing. Expertise in GitOps, Infrastructure as a Code tool such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, and Ansible. Expertise in Google Cloud (GCP) and/or other relevant Cloud Infrastructure solutions like AWS or Azure. Experience in building the CI/CD pipelines with tools such as Jenkins, GitLab, Spinnaker, Argo etc. Experience with multiple data stores is a plus (Kafka, RabbitMQ, Redis, Elasticsearch). Must be good in setting up Observability stack using open source tools like Prometheus, Thanos, Grafana, Loki, Open telemetry etc. Must be good in any of the DevOps scripting languages - python or Go. A collaborative spirit with the ability to work across disciplines to influence, learn and deliver. A deep understanding of computer science, software development, and networking principles.