Lead DevOps/Site Reliability Engineer
San Francisco, California
Pay Rate:-
W2 Rate $ 61.75
Looking in PST time zone, preferred to be local to SF and willing to go into office occasionally, but okay with Remote (needs to hive high work ethic!)
Lead DevOps/Site Reliability Enginee
Must Have:
Nice to Have:
Down the line/as they hire Data Engineers:
Data engineer with core programming Java/Scala
Knowing Spark streaming framework, might use Flink or Spring Boot eventually
Process: Internal Screening + 1 round interview: schedule for an hour
Required Skills : Must Have:
• Kubernetes
• Docker
• CI/CD and Jenkins
• Production support
• Splunk or similar logging/observability experience (ELK, Kibana, etc)
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Client :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set :Yes
Type of project :Development/Engineering
Master Job Title :DevOps: Applications
Branch Code :Minneapolis
Indotronix is an Equal Opportunity Employer
W2 Rate $ 61.75
Looking in PST time zone, preferred to be local to SF and willing to go into office occasionally, but okay with Remote (needs to hive high work ethic!)
Lead DevOps/Site Reliability Enginee
- Looking for a resource more senior in the DevOps space, with a leaning toward site reliability engineering.
- Docker containers, Kubernetes automation
- Mostly focused on the automation, current pain points around deployments reliability around their data engineering processes.
- SRE who can go beyond the memory, what kind of memory is being used, how do we optimize CPU, disc size, how does a disc work.
- Their in-house tool leverages both batch and real-time streaming processes. If an internal team is having issues with their pipelines, looking from the perspective of where is the snag happening? Pipeline lags, runtimes too long. How can we troubleshoot from the containers and pipeline automation perspective?
- Have 1000 pipelines already built in Spark/Scala. Looking for no-code/low-code solutions down the line (more-so for data engineering roles that could be coming).
- Does NOT need to know Spark programming, but understanding of how Spark works against the Kubernetes automation.
- Looking for more of a Senior Engineer right now who can step into more of a true leadership role. Immediately involved in mentorship, escalations. Could eventually lead a team as they build out additional roles.
Must Have:
- Kubernetes
- Docker
- CI/CD and Jenkins
- Production support
- Splunk or similar logging/observability experience (ELK, Kibana, etc)
Nice to Have:
- Spark
- Scala or Java
Down the line/as they hire Data Engineers:
Data engineer with core programming Java/Scala
Knowing Spark streaming framework, might use Flink or Spring Boot eventually
Process: Internal Screening + 1 round interview: schedule for an hour
Required Skills : Must Have:
• Kubernetes
• Docker
• CI/CD and Jenkins
• Production support
• Splunk or similar logging/observability experience (ELK, Kibana, etc)
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Client :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set :Yes
Type of project :Development/Engineering
Master Job Title :DevOps: Applications
Branch Code :Minneapolis
Indotronix is an Equal Opportunity Employer
Created: 2024-04-25
Reference: JPC - 158446
Country: United States
State: California
City: San Francisco
ZIP: 94130
About Indotronix International Corporation
Founded in: 1986
Number of Employees: 750
Website: https://www.iic.com/
Career site: https://www.iic.com/current-openings/
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