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Job Title: Vulnerability Management Analyst (Contract) - Qualys Specialist

Contract Duration: 12 Months (Possible Extension)
Location: Tampa, FL (2 Days a Week On-Site, Remote for Remaining Days)
Industry: Financial Services
Start Date: ASAP

Job Description:

We are seeking an experienced Vulnerability Management Analyst with deep expertise in Qualys for a 12-month contract opportunity with a leading financial services client based in Tampa, FL. This role will focus on vulnerability assessment and management, leveraging Qualys as the primary tool to identify, prioritize, and remediate vulnerabilities within the organization's environment.

The ideal candidate will have hands-on experience with Qualys Vulnerability Management, as well as strong knowledge of risk assessment methodologies, remediation strategies, and best practices for vulnerability management in financial services environments.

This is a hybrid role, with 2 days a week on-site in Tampa and the flexibility to work remotely the remaining days.

Responsibilities:

Vulnerability Scanning & Assessment: Manage and conduct regular vulnerability scans using Qualys across the enterprise environment (network, systems, endpoints, and cloud infrastructure).

Risk Prioritization: Analyze scan results to prioritize vulnerabilities based on risk impact, business needs, and compliance requirements (such as PCI-DSS, SOX, GDPR, etc.).

Remediation Management: Work closely with internal teams (IT, Network, Security, and Development) to track and ensure timely remediation of identified vulnerabilities.

Qualys Configuration: Configure, tune, and optimize Qualys to ensure effective vulnerability scanning and reporting. Customize scanning profiles to suit different environments and requirements.

Patch Management: Assist in coordination of patch management cycles and ensure vulnerabilities related to unpatched systems are addressed promptly.

Reporting & Documentation: Create and maintain vulnerability reports and dashboards in Qualys for stakeholders at different levels. Document and report on remediation efforts and progress.

Collaboration with Cross-Functional Teams: Collaborate with the security operations, network teams, and IT departments to assess and reduce vulnerabilities that may pose significant risk to the organization.

Compliance Support: Support compliance initiatives and audits by ensuring that vulnerability management aligns with industry regulations and internal security policies.

Trend Analysis & Continuous Improvement: Monitor vulnerability trends, analyze data for recurring issues, and suggest improvements to the vulnerability management process.

Qualifications:

Experience:

3+ years of experience in vulnerability management, with at least 1 year of hands-on experience with Qualys.

Experience in vulnerability scanning, risk assessments, and patch management, preferably in financial services or highly regulated environments.

Technical Skills:

Expertise with Qualys Vulnerability Management and the ability to configure, customize, and optimize scans and reporting.

Familiarity with network security principles, risk assessments, and compliance frameworks (e.g., PCI-DSS, SOX, NIST).

Experience with remediation strategies and patch management tools.

Basic knowledge of networking (e.g., TCP/IP, DNS, HTTP/HTTPS) and operating systems (Windows, Linux, etc.).

Familiarity with SIEM tools and integration with vulnerability management platforms.

GCS is acting as an Employment Business in relation to this vacancy.

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SIEM Engineer (SPLUNK)

Job Type: Full-time, Contract
Contract Duration: 6 Months (Renewable)
Location: Remote (US-based)
Industry: Telecommunications
Start Date: ASAP

Job Description:

We are seeking a SIEM Engineer with expertise in Splunk to join a leading telecommunications customer in the United States for a 6-month renewable contract. This is a fully remote opportunity where you will play a crucial role in designing, implementing, and managing security information and event management (SIEM) systems, with a focus on Splunk.

As a Splunk SIEM Engineer, you will be responsible for configuring and maintaining the Splunk platform, conducting security event monitoring, and ensuring timely response to incidents. You will work closely with the cybersecurity team to enhance the security posture of the organization and contribute to real-time threat detection.

Responsibilities:

Splunk Implementation & Configuration: Deploy, configure, and maintain Splunk Enterprise and Splunk Cloud environments for security use cases.

Security Event Monitoring: Use Splunk for security event collection, correlation, and analysis of logs from various sources (network, endpoint, and cloud environments).

Incident Response: Support incident detection, investigation, and response activities. Create alerts and dashboards to identify anomalies and potential threats.

Rule Creation & Tuning: Design, develop, and refine Splunk search queries, use cases, and security alerts to improve event detection and reduce false positives.

Data Normalization & Parsing: Create data inputs, custom log parsers, and manage complex data sources to ensure the proper ingestion of logs into Splunk.

Reporting & Dashboards: Develop and maintain security-related dashboards, visualizations, and reports for stakeholders.

Collaboration: Work closely with security analysts, network engineers, and other cross-functional teams to ensure seamless operations and threat intelligence sharing.

Documentation & Best Practices: Maintain comprehensive documentation for configuration, policies, procedures, and knowledge sharing.

Qualifications:

Experience:

3+ years of hands-on experience with Splunk deployment, configuration, and administration in a production environment.

Proven experience in the telecommunications industry or similar complex, high-traffic environments.

Strong background in SIEM (Security Information and Event Management) with the ability to build effective detection and alerting mechanisms.

Technical Skills:

Splunk (Enterprise & Cloud)

Splunk Query Language (SPL) for building complex queries and dashboards.

Experience with log management and security event correlation.

Familiarity with security frameworks such as NIST, ISO 27001, and others.

Knowledge of network security principles, intrusion detection systems (IDS), firewalls, and cloud-based security solutions.

Experience integrating various data sources into Splunk (e.g., syslog, network devices, firewalls, cloud platforms).

Scripting knowledge (e.g., Python, Bash, PowerShell) for automation tasks is a plus.

GCS is acting as an Employment Business in relation to this vacancy.

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About the Role:
We are hiring on behalf of a leading energy company in the UAE that is accelerating its digital transformation journey. They are looking for a Senior Data Engineer to join their high-performing analytics and engineering team in AbuDhabi.
This is a client-facing role, ideal for a Data Engineering professional who can lead the design and development of scalable, production-grade data pipelines and infrastructure to support real-time analytics and advanced AI/ML initiatives.
What's on Offer:

*$10,000 relocation support to facilitate your move to the UAETax-free incomeFull visa and private healthcare coverage for you and your family (if required)Opportunity to engage with cross-functional teams and senior stakeholdersWork in a globally recognised energy organisation undergoing digital modernisation

Key Responsibilities:

Design, develop, and optimise robust and scalable data pipelines (ETL/ELT)Builder and maintain cloud-native data platforms (e.g., AWS, Azure, GCP)Collaborate with data scientists, analysts, and business stakeholders to deliver reliable and timely dataEnsure data quality, governance, and compliance across pipelines and storageDevelop and manage batch and streaming data solutions for high-volume environmentsSupport the deployment and monitoring of machine learning models in productionDocument and communicate architecture, work flows, and design decisions clearly

Who We're Looking For:

Proven experience as a Senior Data Engineer or in a similar roleStrong programming skills (Python, SQL) and data orchestration tools (e.g., Airflow, Spark, dbt)Hands-on experience with cloud platforms like AWS, Azure, or GCPFamiliarity with data warehousing solutions (e.g., Red shift, Big Query, Snowflake)Solid understanding of data modelling, version control, CI/CD, and containerisation (e.g., Docker)Excellent communication skills and ability to engage with technical and non-technical stakeholdersExperience supporting machine learning pipelines is a strong plusPrior work in energy, utilities, or industrial sectors is advantageous

GCS is acting as an Employment Business in relation to this vacancy.

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