Software Engineer 3
About The Position
A client of Innova Solutions is immediately hiring for a Software Engineer. This is a Full Time – Contract position with a duration of 12 Months with possible extension. The role is Hybrid, requiring 3 days onsite and 2 days remote, with available locations in Irving TX, Charlotte NC, and Phoenix AZ. As a Software Engineer, you will be responsible for designing, configuring, and maintaining Hadoop clusters to ensure scalability, reliability, and performance. You will implement resource management strategies (YARN, MapReduce) to optimize workloads, monitor cluster health, troubleshoot issues, and fine-tune configurations for efficiency. Collaboration with data engineering teams to support ingestion pipelines and distributed processing is key. You will also plan and execute tenant migrations from legacy systems or older Hadoop distributions to newer versions or alternative platforms. Scheduling and applying regular updates to keep the Hadoop ecosystem secure and stable, performing proactive maintenance activities such as log rotation, disk cleanup, and service restarts, and validating patch compatibility with existing workloads before deployment are crucial. Maintaining rollback strategies in case of patch failures and assessing Red Hat Enterprise Linux (RHEL) patches for relevance to the Hadoop environment are also part of the role. Evaluating MapR distribution patches for bug fixes, performance improvements, and security updates, and continuously monitoring for CVEs (Common Vulnerabilities and Exposures) affecting Hadoop, Red Hat, or MapR are essential. You will provide Tier-2/Tier-3 support for Hadoop-related incidents.
Requirements
- Experience in Hadoop administration
- Large enterprise experience
- Experience with migrations
- Exposure to enterprise tools/processes
- Linux/Red Hat background
- Patching and infrastructure support experience
Nice To Haves
- Ansible
- ServiceNow
- JIRA
- Enterprise change management processes
- GCP / cloud exposure
Responsibilities
- Design, configure, and maintain Hadoop clusters to ensure scalability, reliability, and performance.
- Implement resource management strategies (YARN, MapReduce) to optimize workloads.
- Monitor cluster health, troubleshoot issues, and fine-tune configurations for efficiency.
- Collaborate with data engineering teams to support ingestion pipelines and distributed processing.
- Plan and execute tenant migrations from legacy systems or older Hadoop distributions to newer versions or alternative platforms.
- Schedule and apply regular updates to keep the Hadoop ecosystem secure and stable.
- Perform proactive maintenance activities such as log rotation, disk cleanup, and service restarts.
- Validate patch compatibility with existing workloads before deployment.
- Maintain rollback strategies in case of patch failures.
- Assess Red Hat Enterprise Linux (RHEL) patches for relevance to the Hadoop environment.
- Evaluate MapR distribution patches for bug fixes, performance improvements, and security updates.
- Continuously monitor for CVEs (Common Vulnerabilities and Exposures) affecting Hadoop, Red Hat, or MapR.
- Provide Tier-2/Tier-3 support for Hadoop-related incidents.
Benefits
- Medical & pharmacy coverage
- Dental/vision insurance
- 401(k)
- Health saving account (HSA)
- Flexible spending account (FSA)
- Life Insurance
- Pet Insurance
- Short term and Long term Disability
- Accident & Critical illness coverage
- Pre-paid legal & ID theft protection
- Sick time
- other types of paid leaves (as required by law)
- Employee Assistance Program (EAP)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
