Location – Dallas or Tampa (Hybrid)|| MUST BE LOCAL TO DALLAS OR TAMPA
Client – DTCC
Duration: 12-month contract to hire role
Visa – USC , GC , GC EAD , H4
LinkedIn Must
NEED TO HAVE “SPLUNK ITSI”
Position Summary and Principal Responsibilities: This role will be in Data Management Department on the Analytics Report & AI & ML Engineering team. The team maintains the firm’s reporting and analytics tools and infrastructure, but this position is primarily for working on Splunk tools including Splunk Cloud, Splunk Enterprise, ITSI and Observability.
As part of the Analytics Report & AI & ML Engineering team, the candidate is responsible for:
- Working on engineering and development focused projects from start to finish with minimal supervision
- Providing technical and operational support for our customer base as well as other technical areas within the company that utilize our tools
- Risk management functions such as reconciliation of vulnerabilities, security baselines as well as other risk and audit related objectives
- Administrative functions for our tools such as keeping the tool documentation current and handling service requests
- 24x7 on-call L3 support on a rotational schedule with other team members
- Participate in user training to increase awareness of Splunk
- Ensuring incident, problem and change tickets are addressed in a timely fashion, as well as escalating technical and managerial issues
- Following DTCC’s ITIL process for incident, change and problem resolution
- Self-starter, continually striving to improve the teams service offerings and one’s own skillset
- Must have a problem-solving and innovative mindset to meet a wide variety of challenges
- Willingness and ability to learn all aspects of our operating model as well as new tools
- Ability to meet deadlines, goals and objectives
- Moderate to advanced competency of Windows and Unix-like operating system principles (power user functions)
- Developed competencies around essential project management, communication (oral, written) and personal effectiveness
- Working experience covering Microsoft Office tools such as Outlook, Excel, PowerPoint, Visio and Project
- Good SQL skills and good knowledge of relational databases
- Experience developing and interfacing with REST APIs
- Good knowledge of TCP/IP and networking fundamentals
- Good knowledge of engineering, configuring, deploying and supporting Splunk Enterprise, Splunk Cloud, ITSI and Observability
- Ability to create and optimize Big Data correlations as a Splunk search language (SPL) proficient
- Optimize/Tune logging source streams
- Develop Splunk reports to meet requirements of key stakeholders.
- Good knowledge of Amazon AWS products and services such as EC2, BeanStalk, Lambda, VPC, Route 53, Amazon FW, API Gateway, ELB, CloudTrail, and CloudFront.
Experience
- Minimum of six (6) years of related Splunk work experience with expertise in ITSI.
- Programming experience (Python, Shell, JavaScript)
- 5+ years’ experience of Splunk engineering/support in a production environment. This includes all phases of lifecycle management: planning, design, deployment, upkeep and retirement
No comments:
Post a Comment