DevOps Engineer (Elasticsearch Experience)
at Infinitive Inc
McLean, VA 22043, USA -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 03 May, 2025 | Not Specified | 03 Feb, 2025 | 3 year(s) or above | Ansible,Logging,Docker,Infrastructure,Scala,Kubernetes,Snowflake,Orchestration,Data Engineering,Processing,Python,Automation,Elasticsearch,Version Control,Gcs,Data Processing,Jenkins,Containerization,Git,Code,Devops,Apache Kafka,Bash | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
ABOUT INFINITIVE:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients’ culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 7 times most recently in 2024. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”
3+ YEARS OF EXPERIENCE IN DEVOPS, DATA ENGINEERING, OR INFRASTRUCTURE ENGINEERING.
- Strong expertise in ElasticSearch, including cluster tuning, indexing strategies, and scaling.
- Hands-on experience with CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or ArgoCD.
- Proficiency in Git for version control, branching strategies, and code collaboration.
- Experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, Ansible, or Pulumi.
- Solid experience with cloud platforms (AWS, GCP, or Azure) and cloud-native data engineering tools.
- Proficiency in Python, Bash, or Scala for automation, data processing, and infrastructure scripting.
- Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm).
- Experience with data engineering tools, including Apache Kafka, Spark Streaming, Kinesis, Pub/Sub, or Dataflow.
- Strong understanding of ETL/ELT workflows and distributed data processing frameworks.
PREFERRED QUALIFICATIONS:
- Experience working with data warehouses and lakes (BigQuery, Snowflake, Redshift, ClickHouse, S3, GCS).
- Knowledge of monitoring and logging solutions for data-intensive applications.
- Familiarity with security best practices for data storage, transmission, and processing.
- Understanding of event-driven architectures and real-time data processing frameworks.
- Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional Data Engineer, or Certified Kubernetes Administrator (CKA).
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Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
McLean, VA 22043, USA
