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Member Of Technical Staff

4.00 to 5.00 Years   Bangalore   13 Apr, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

CMBU Production Engineering team is engaged with Service/Site Reliability of CMBU SaaS. We are centralized Production Engineering team of CMBU, responsible for delivering operational efficiency through day zero integration of Service Reliability best practices, influencing service design, guiding teams on service resiliency, developing and maintaining a resilient infrastructure for meeting SLAs.Your opportunity and responsibilityAs a member of this team, you will be an integral member and play a key role in the SRE team. Your opportunities:

  • Develop and deploy software and database infra that will help drive improvements towards the availability, management, and visibility of CMBU services.
  • Work on database reliability and performance tuning aspects.
  • Analyze solutions and implement best practices for database cluster which is hosted in Clouds like AWS as well as private cloud.
  • Work on observability of relevant database metrics and make sure we reach our database objectives.
  • Work with peer SREs to roll out changes to our production environment and help mitigate database-related production incidents.
  • Provide database expertise to engineering teams (for example through reviews of database migrations, queries and performance optimizations).
  • Work on automation of database infrastructure and help engineering succeed by providing self-service tools.
  • You will be responsible for communicating to management the operational status of the environments including performance, capacity, availability, failure rates, and other performance metrics.
  • You will take part in the on-call rotation for these and other critical systems. You will be driven to make on-call one of the best parts of the job.
  • Contribute/Develop tools for metrics gathering, introspection, monitoring and orchestration.
  • Plan the growth, scale and manage the capacity of database infrastructure.
  • Support and debug database production issues across services and levels of the stack.
  • Document every action so your learnings turn into repeatable actions and then into automation.
A good programming (development) background and understanding of System administration is a must, and specific experience with Linux operating systems, Kubernetes, AWS and Docker are good to have. To be successful, you will need a strong technical orientation; be a creative problem solver, solving operational challenges through automation; be motivated to advance in the field; and work well in a team-oriented environment. We are looking for highly passionate engineers who have a strong self-directed work ethic, a nimble mindset, and a strong personal ownership of system quality.Requirements
  • Background with Computer Science fundamentals (based on a BS or MS in CS or related field).
  • At least 4-5 years of experience running PostgresSQL in large production systems.
  • Have at least 2 years of experience in infrastructure automation using terraform, absible, chef, salt, or puppet.
  • Have at least one programming language proficiency - Go Lang, Rust, Java, Python, Node js or C.
  • Have solid knowledge of SQL and PL/pgSQL.
  • Have solid knowledge of the internals of PostgreSQL.
  • Knowledge in DevOps, DevSecOps, Compliance and Audit of SaaS services.
  • Have experience working in a distributed production environment.
  • Have an urge to document all the things so you dont need to learn the same thing twice.
  • Have an urge for delivering quickly and iterating fast.
  • Familiarity with logging and monitoring technologies such as Nagios, log insight, DataDog, Wavefront, Splunk, vROps, AppDynamics, New Relic, Rollbar, Sentry etc.
  • Experience in designing and maintaining cloud-based solution with AWS, Azure and Google Cloud Platform.
  • Have a passion for stable and secure systems management practices.
  • Possess data modeling and data structure design skills.
  • Strong analytical and problem-solving skills.
  • Strong interpersonal skills must be able to work effectively as part of a project/ program team and foster team cooperation.
  • Must be able to effectively communicate technical information to both technical and non-technical personnel.
  • Ability to work in team environment, while being self-directed, proactive and action oriented.
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Keyskills :
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