A.C.Coy Company

Architect

• Design and architect a complete Splunk enterprise environment.
• Develop and implement custom parsers.
• Deploy high availability (HA) solutions for Cluster Managers and Indexer Clusters.
• Deploy high availability (HA) solutions for Deployment Servers.
• Demonstrate strong leadership and ownership skills in managing projects.
• Ensure successful project execution and follow-through.
• Prepare clear documentation and conduct capacity planning.
• Support a US Government client on-site in Miami, FL as a contract-to-hire role.

Splunk Architect

AI Engineer

• Create and maintain web pages using Oracle MOD PL/SQL packages.
• Maintain the existing applications and enhance the system as per client requirements.
• Modify existing batches to incorporate new functionalities.
• Analyze system issues and devise and execute remediation plans.
• Perform code reviews and bug fixing.
• Conduct performance tuning of existing queries and packages.
• Comply with all required standards and processes and devise approaches to ensure compliance across the team.
• Provide complete technical and maintenance support to the systems.
• Run the assigned projects solo as well as working as a team.
• Provide round-the-clock support as needed for the assigned tasks.
• Interact directly with the customer on behalf of the team to resolve issues or identify new requirements to be addressed by the team.

Oracle/AI Developer

Engineer

• Responsible for the development and maintenance of applications providing ETL services in support of the Data Asset Services group.
• Tasks must be completed under the direction, oversight, and prioritization of the Data Technology Services Manager.
• Ab Initio ETL Coding in GDE.
• Ab Initio Metadata Hub Lineage.
• Ab Initio TRMC.
• ANSI SQL and Teradata SQL extensions.
• Teradata SQL Assistant (a.k.a. QueryMan) for EDS Support.
• Teradata Utilities for EDS Support: BTEQ FastLoad MultiLoad FastExport TPump.
• Utilize UNIX commands and concepts to navigate source code directories, error logs, perform impact analysis assessments, edit code, and version files.
• Utilize Linux Shell scripting in order to read and create driver scripts.
• Ensure software standards are met.
• Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
• Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities.

Data Warehousing Engineer, Ab Initio/Teradata

Software Engineer

• Tier One Technologies is seeking a GIS Map Developer for our US Government client. This will be a 100% remote Contract-to-Hire position.
• SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.
• Design, develop, implement, and maintain complex business, accounting, and work with GIS (Geographic Information Systems) software and platforms, along with programming languages and tools for web mapping and spatial data management.
• Analyze and translate business requirements into efficient geospatial software designs that meet the needs of the organization and align with the business goals and processes.
• Design and develop mapping applications, including user interfaces and spatial analysis features.
• Build interactive web maps using web mapping technologies.
• Handle and manipulate geospatial data.
• Utilize GIS software such as ArcGIS and cloud-based platforms for mapping tasks.
• Automate geospatial analysis processes and customize GIS software for project needs.
• Collaborate with stakeholders and team members to ensure database design meets project requirements.

GIS Map Developer

Data Scientist

• Play a crucial role in ensuring the ethical, responsible, and compliant development and deployment of AI systems, particularly those that impact human behavior.
• Use Artificial Intelligence (AI) and Machine Learning (ML) to analyze user and entity behavior within a network to identify and mitigate cyber threats.
• Design and implement behavioral analytics models to surface anomalies and indicators of insider risk across multiple structured and unstructured data sources.
• Develop and refine risk scoring algorithms which prioritize users or events based on observed patterns, contextual risk factors, and deviations from baselines.
• Integrate and transform data from tools, systems, and logs to create unified risk models which support investigative workflows.
• Analyze data to identify patterns, develop theories and models to explain behavior, and design interventions to promote positive change.
• Identify unusual employee or contractor activity that could indicate malicious intent.
• Gather and prepare diverse behavioral datasets, ensuring accuracy and completeness from sources like website interactions, app usage, customer feedback, and other digital channels.
• Conduct exploratory data analysis to identify behavioral trends and precursors which correlate with increased risk profiles.
• Apply statistical modeling, machine learning, and data fusion techniques to diverse cybersecurity and organizational data.
• Create reports, dashboards, and visualizations to clearly communicate findings and insights to stakeholders, including non-technical audiences.
• Evaluate programs, disseminating findings, consulting and collaborating with others, and adhering to ethical standards.
• Enhance IRO’s ability to surface anomalies, prioritize potential risks/threats, and provide decision support.

Behavioral Data Scientist (Hybrid)

Security Engineer

• Work as part of a small cross-functional team, participate in development and support.
• Lead integration and management of AI/ML technologies into security solutions to combat threats.
• Provide oversight and ensure compliance with security policies and programs related to AI, including secure development lifecycles and vulnerability management processes.
• Lead or support cybersecurity risk assessments, audits, program development, and incident response exercises, especially those involving AI systems.
• Establish and maintain secure development environments within AI platforms and integrated tools.
• Work with security teams and legal/business stakeholders to operate new cybersecurity AI/ML legislation.
• Collaborate with cross-functional teams, including AI/ML developers, security architects, and business stakeholders.
• Develop training programs to raise awareness of AI security risks and mitigation options.
• Threat modeling and risk assessment; identifying vulnerabilities and mitigating risks.
• Design and implement technical solutions (e.g., DLP, SIEM, endpoint monitoring) to support insider risk/threat detection, logging, and telemetry ingestion.
• Develop actionable security blueprints, principles, models, designs, standards, and guidelines to ensure IT architecture is secure and adds value.
• Tune and optimize system performance to reduce false positives and keep detection logic relevant to changing environments.
• Support secure deployment of behavior analytics models; ensure infra and access controls meet privacy/governance requirements.
• Contribute to automated response capabilities, including alerting, blocking, or throttling based on insider risk thresholds.

Sr. Cybersecurity Engineer/Architect (Remote)

• Design, develop, maintain, and support IT systems that align corporate business vision and strategy with stakeholder input, translating them into objectives for building, enhancing, or replacing capabilities.
• Implement a comprehensive IT roadmap while ensuring resilience to change remains a core architectural and strategic objective for the enterprise.
• Develop and demonstrate proof-of-concepts (PoC); independently or in a team.
• Create technical diagrams and documentation to show PoC implementations and potential production implementation.
• Make recommendations on relevant tools/packages to use for production environments.
• Consult members of architecture teams to identify potential automation solutions which may include AI/ML.
• Collaborate with cross functional teams on holistic AI/ML solutions.
• Perform research and testing to develop machine learning algorithms and predictive models.
• Utilize big data computation and storage tools to create prototypes and datasets.
• Integrate, test, tune, and monitor solutions.