-
ID
#46046656 -
Job type
Contract -
Salary
$70 - $85 -
Source
Khayainfotech -
Date
2022-09-27 -
Deadline
2022-11-25
Monitoring Lead with Site Reliability Engineer ( Need to be on-site once a month)
New York, New york city, 10001 New york city USAContract
Vacancy expired!
- Root Cause Analysis
- Dynatrace
- Splunk
- Prod Support
- Engage in and improve the whole lifecycle of services—from inception and design, deployment, operation, and refinement.
- Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
- Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
- Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
- Scale systems sustainably through mechanisms like automation; evolve systems by pushing for changes that improve reliability and velocity.
- Practice sustainable incident response and blameless postmortems.
- Adhere to Client security standards, change management and quality controls, enabling automations where required.
- Experience working in Computer Science (e.g. networking, distributed systems, infrastructure, cloud)
- Experience with Unix/Linux operating systems internals, administration and networking
- Experience designing, building, and maintaining production services, and experience analyzing and troubleshooting systems
- Experience in building REST, gRPC and SOAP APIs
- Understanding of API authentication mechanisms such as oAuth, mTLS and JWT, SAML
- Understanding of PKI, certificate management lifecycle, symmetric and asymmetric encryptions.
- Experience with one or more of the following: Java, JavaScript, Python, Lua.
- Bachelor's degree in Computer Science, a related technical field involving software/systems engineering, or equivalent practical experience.
- A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
- Understanding of enterprise workloads
- Experience with algorithms and data structures
- Ability to debug, optimize code and automate routine tasks
Vacancy expired!
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