OMG Tech Partners

Infrastructure Engineer

• Design and deploy secure, scalable, and highly available infrastructure solutions on AWS and Microsoft Azure.
• Manage cloud resources using the cloud providers native tools, Terraform and other IaC tools.
• Implement and manage VPCs, subnets, route tables, NAT gateways, VPNs, and peering.
• Leverage cloud-native services within the cloud platform to improve operations, reduce costs, or enhance security.
• Perform system administration tasks on Linux and Windows servers.
• Develop and maintain automation scripts using Python, Bash, or PowerShell.
• Configure cloud resources to follow standard frameworks such as CIS Foundations Benchmark 3.0 for AWS and Azure public cloud environments.
• Implement and enforce cloud security best practices, including IAM policies, encryption, and network security controls.
• Collaborate with security teams to ensure compliance with internal company policies.

Cloud Infrastructure Engineer

Software Engineer

• Providing technical expertise to develop reports in a CoStar
• Implementation of report suite
• Developing customized reports for specific business needs
• Updating reports as necessary to ensure accuracy
• Draft Standard Operating Procedures (SOPs) for new processes and report management
• Ability to troubleshoot and resolve technical issues related to CoStar
• Create or setup new transaction types within the application.

Application Report Developer

Security Engineer

• Splunk Enterprise Security (ES) Configuration & Management
• Configure, customize, and maintain Splunk Enterprise Security to meet organizational security monitoring needs
• Able to monitor and resolve data breaches and catch up the alerts
• Develop, tune, and monitor security alerts, correlation searches, and dashboards within Splunk ES
• Implement and manage use cases, data models, and risk-based alerting frameworks
• Collaboration & Security Operations Support
• Work closely with Security Analysts to triage, investigate, and respond to security alerts generated by Splunk ES
• Provide timely and accurate data from Splunk to support incident investigation and forensic analysis
• Assist in developing and refining detection rules, reports, and visualizations to improve analyst efficiency

Splunk Engineer, Enterprise Security

Machine Learning Engineer

• Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
• Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
• Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
• Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability).
• Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs.
• Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment.

ML Ops Engineer

Program Manager

• Lead end-to-end program management of the cloud data platform modernization initiative, with a primary focus on Teradata to Databricks and snowflake migration.
• Work with architects, data engineers, and cloud teams to plan and oversee migration strategy, roadmap, and delivery milestones.
• Define and drive program governance, including establishing clear metrics, KPIs, and reporting mechanisms.
• Coordinate with stakeholders across business, infrastructure, and data teams to ensure alignment on timelines, priorities, and dependencies.
• Ensure robust risk and issue management with proactive mitigation strategies.
• Manage multiple work streams including data ingestion, ETL/ELT modernization, data quality, security, and compliance.
• Partner with vendor teams and system integrators to manage third-party deliverables and performance.
• Drive Agile and/or hybrid delivery methodologies across program teams.
• Ensure adherence to cloud best practices, data security standards, and enterprise architectural guidelines.
• Report program health, status, and risks to executive leadership in a structured and actionable format.

Program Manager – Cloud Data Platform Modernization

• Develop and customize applications using ChatGPT and other AI language models.
• Design and implement end-to-end AI solutions based on business needs.
• Build and manage Python-based services and integrations.
• Apply machine learning concepts to improve model performance and usability.
• Collaborate with cross-functional teams and clearly communicate technical concepts.
• Work on custom solutions tailored to Biopharma domain requirements.

ChatGPT Developer, AI/ML

Solutions Engineer

• Design, implement, and support AWS-based data architectures for production environments
• Support and troubleshoot production data services, ensuring high availability and performance
• Work with AWS services such as S3, RDS, DynamoDB, Redshift, Glue, EMR, Athena, Kinesis, and Lambda
• Ensure data pipelines and platforms follow AWS best practices for security, scalability, and reliability
• Implement monitoring, alerting, and logging for data workloads
• Optimize cloud costs related to data storage, processing, and data pipelines
• Collaborate with application, DevOps, and data engineering teams to resolve production issues
• Document architectures, runbooks, and operational procedures

AWS Solutions Architect – Data Services

Cloud Engineer

• Design, deploy, and operate AWS cloud infrastructure with a focus on scalability, reliability, and security
• Help operate, scale, and mature the cloud platform
• Drive automation and support secure, reliable cloud operations

Senior Cloud Engineer

Full-stack Engineer

• Design, develop, and maintain full stack solutions to meet MES project requirements.
• Contribute to the implementation of electronic batch records and system integrations.
• Collaborate with cross-functional teams in an Agile/Scrum environment.
• Write clean, efficient, and maintainable code for both front-end and back-end components.
• Troubleshoot and resolve technical issues to ensure system stability and scalability.
• Work with vendors and internal stakeholders to align on technical solutions and project goals.