Staff Engineer _ Observability

3 weeks ago

Bengaluru, India Kenvue Full time

Staff Engineer

What You Will Do ?

As Observability engineers you are passionate about using software-based approaches to solve complex data-driven challenges and automate those solutions. You will lead efforts aimed at setting up enterprise observability solutions at scale and establish the technical strategy to achieve this. To be successful, you will need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills. You have experience practicing infrastructure-as-code, standing up logging and metrics data pipelines, DevOps, and data lake management. In addition, you will have strong systems knowledge and troubleshooting abilities. An ideal candidate will be a creative thinker and passionate about technology as well as drive innovation and produce delightful experiences for customers. This person will demonstrate data-driven open-minded decision making, have an insatiable curiosity, love to invent and innovate to solve difficult challenges in a fast-paced global environment. If you love solving problems at scale, prefer to build scalable, reliable, and testable software to automate infrastructure management, are an ace troubleshooter, and are deeply technical, then this is the role for you

Roles & Responsibilities:

  • You will work closely with Staff Engineer on building Enterprise observability solution based on open-source tool stack from ground up and at scale.
  • You will design components and complex architectures while solving business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices. You will lead the design and development of the most complex enhancements.
  • You build multiple stable, scalable feature changes that can be successfully shipped to customers in production. Your software contributions in production are the model for highly available, low latency, and efficient software.
  • You are a collaborative leader that makes other engineers and team members around you more productive by sharing your knowledge and helping to drive technical decisions. You can communicate complicated concepts simply.
  • You drive best practices and set standards for your team. You are a role model for your teams. Your software contributions in production are the model for highly available, low latency, and efficient software.
  • You are expected to mentor other engineers on your team.

What To Bring ?

  • At least 8 - 10 years of overall experience in designing, implementing and maintaining our Observability platform using tools such as Grafana, Prometheus and ELK (Elastic, Logstash, Kibana)
  • At least 4 years of experience working with public cloud infrastructure with Azure / AWS / GCP, including design, implementation, and maintenance of large-scale environments.
  • Experience with a variety of cloud services like OpenSearch, AMP, Kinesis, network, storage etc.
  • Experience in developing instrumentation strategies to capture relevant telemetry data for comprehensive visibility.
  • Must have CS fundamentals and a track record of implementing highly reliable automation using any scripting or programming language such as Python/Go.
  • Databases: MYSQL, MongoDB, Sybase, Postgres
  • Strong knowledge and implementation history of Terraform and / or other similar tooling.
  • Understanding on Devops, CICD & Jenkins is required.
  • Deep understanding of distributed systems, microservice architecture, kafka,Open Source technoligies logging / metric / tracing platforms (ELK, Prometheus, Grafana, OTEL etc), and security.
  • Experience with distributed tracing concepts and tracing tools like jaeger and APM tools like Skywalking
  • Experience with building and implementing distributed observability solutions in Cloud and Onprem with long term storage solutions.
  • Experience with container orchestration technologies such as Kubernetes or AWS EKS is strongly desired.
  • Experience in working across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, implement new models, and make tradeoffs to remove roadblocks

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