ActioNet, Inc.

Data Engineer

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Design, build, and maintain data pipelines and automated extract, transform, load (ETL) processes using tools like Python, R, and platform‑specific environments such as Jupyter Notebooks.
• Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques.
• Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies.
• Develop dashboards, visualizations, and analytical products leveraging QuickSight or other mission‑approved tools to support operational decision‑making.
• Provide full lifecycle assistance in deploying, optimizing, maintaining complex code with data processing routines running in development, test, and production
• Optimize code through advanced algorithmic concepts to facilitate more efficient

Cloud Engineer

• Conduct cloud readiness assessments and create migration plans to facilitate smooth transitions to AWS.
• Design and architect scalable, secure, and cost-effective cloud solutions on AWS, utilizing cloud-native technologies.
• Support architecting and implementing large scale cloud-native data processing ETL workloads using AWS services
• Provide SME recommendations for big data storing solutions, installations, and configurations while ensuring scaling needs.
• Support database analysis, architecture, design, development, administration and capacity/storage, implementation, and operations of multi-terabytes scalable enterprise end-to-end backend database systems.
• Provide expertise and support for migrations from on-premises computing infrastructure to AWS cloud ensuring data integrity, minimal downtime, and high availability.
• Provide guidance on best practices for cloud application design, deployment, and optimization including through use of Infrastructure as Code (IaC).
• Engage with customers to gather requirements, understand their application architecture, and provide tailored cloud migration strategies and collaborate closely with engineering teams to ensure the seamless deployment of applications and services.
• Configure and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines to automate builds, testing, and deployment in the AWS environment
• Stay updated on emerging cloud technologies and industry trends to continually enhance our service offerings.
• Lead and mentor team members in implementing cloud solutions, ensuring adherence to architectural standards.
• Review security scans, accessibility audits, and performance testing to ensure full compliance with cybersecurity requirements; and, review results and provide mitigation or improvement plans where necessary and support the implementation of remediation activities to resolve and identified issues.

• Responsible for designing, implementing, and maintaining secure, scalable, and cost-effective cloud infrastructure solutions—primarily on Google Cloud.
• Evaluate and select appropriate cloud services based on project requirements.
• Develop integration strategies and data flow architectures for cloud-based systems.
• Integrate Google Cloud services (e.g., Google Earth Engine, Cloud Storage, Pub/Sub, Cloud Functions) with on-premises systems or other cloud platforms.
• Develop and maintain APIs for system and application integrations.
• Use tools like Google Cloud API Gateway, Cloud Endpoints, and Service Accounts for secure integrations.
• Implement automation using tools like Terraform, Gitlab CI/CD, or Google Cloud SDK.
• Configure and deploy virtual machines, networking, and storage resources within Google Cloud.
• Set up containerized environments with Kubernetes and Google Kubernetes Engine (GKE).
• Migrate data from on-premises databases or other cloud providers to Google Cloud platforms; Implement ETL (Extract, Transform, Load) processes; Optimize data pipelines for performance and cost-efficiency.
• Implement cloud security best practices such as identity and access management (IAM), encryption, and network security.
• Perform security audits and assessments to ensure compliance with relevant regulations.
• Manage security policies and access controls using Google Cloud Security tools.
• Monitor cloud resources and applications using Google Cloud Operations suite (formerly Stackdriver) for performance and availability.
• Troubleshoot issues related to integration, network, and cloud services.
• Provide ongoing support for cloud infrastructure and resolve incidents in production environments.
• Collaborate with development teams, business stakeholders, and clients to understand requirements and deliver solutions.
• Document integration processes, architecture designs, and best practices for internal use and client delivery.

Google Cloud Engineer – SME

Engineer

• Provide end-to-end engineering and operational support for secure, cloud-based data processing environments
• Design, administer, and optimize scalable compute and storage platforms
• Support production workflows and ensure efficient, reliable operations through monitoring, automation, and DevOps practices
• Develop and maintain application code and tooling, integrate and test approved disclosure avoidance methods
• Ensure high-quality, compliant data products are delivered through resilient, well-managed cloud and hybrid environments
• Administer distributed cloud platforms, including provisioning, configuration, monitoring, and lifecycle management for high-performance workloads
• Establish and maintain operational parameters for deploying and executing data processing and dissemination workflows
• Optimize resource utilization by identifying and terminating idle or unused compute resources
• Document and distribute meeting notes, action items, and decisions

AWS/EMR Engineer

System Administrator

• Manage Linux platforms and containers across hybrid environments supporting NOAA’s Marine Operations
• Install, configure, and maintain RHEL/Ubuntu with CIS/NOAA hardening
• Operate Linux-based applications and pipelines (CORIOLIX, OpenRVDAS, Globus)
• Containerize and orchestrate services using Docker/Podman and Kubernetes
• Implement configuration management and IaC (Ansible, Cloud-Init/Kickstart)
• Monitor Linux performance and triage system issues
• Manage keys/secrets and integrate with AAD/Key Vault
• Provide Tier 2 support for Linux-based scientific workflows
• Participate in post-cruise reviews and update runbooks quarterly

Linux Administrator

Backend Engineer

• Develops, deploys, and maintains mission-critical enterprise applications throughout the full software development lifecycle, including analysis, design, coding, testing, deployment, and operational support.
• Builds and optimizes front-end applications delivering responsive and user-friendly interfaces tailored to business needs.
• Manages version control, development workflows, and CI/CD pipelines using tools like GitHub, Bitbucket, and Jira to enable rapid, dependable deployments.
• Agile development principles within the SAFe framework, engaging in iterative development cycles, backlog prioritization, and adaptive planning.
• Conducts rigorous unit testing, integration testing, and automated deployment processes to ensure application quality, reliability, and security compliance.
• Performs ongoing application maintenance, including monitoring system performance, responding to incidents, and implementing patches and security updates.
• Designs, customizes, and optimizes software solutions to enhance operational efficiency, integrating third-party components and automating maintenance tasks.
• Collaborates with cross-functional teams to define technical requirements, participate in architecture reviews, and deliver high-quality software solutions aligned with business objectives.
• Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.
• Provide team-specific training as needed.

Mid-Level Developer – Java, Backend

• Provide IT support for cloud-based compute and storage environments used to produce protected data products for research and dissemination
• Administer distributed cloud platforms, including provisioning, configuration, monitoring, and lifecycle management for high-performance workloads
• Support large data processing environments using frameworks such as Apache Spark and optimization tools
• Establish and maintain operational parameters for deploying and executing data processing and dissemination workflows
• Design and optimize cloud storage configurations, including data curation and removal of redundant datasets
• Implement high performance computing (HPC), storage, and workflow optimizations
• Deploy and manage monitoring and dashboard solutions to track cluster usage, performance, availability, and cost efficiency
• Optimize resource utilization by identifying and terminating idle or unused compute resources
• Manage user access, including account provisioning, role-based access, and deprovisioning
• Install, configure, and maintain software, operating systems, and platform services, including Linux patching and updates
• Produce operational and usage reports related to system performance and data storage
• Provide guidance on cloud cost management, budgeting, and optimization strategies
• Support agile project execution, including sprint planning, standups, retrospectives, and backlog management
• Maintain Kanban or sprint boards and track tasks, milestones, and dependencies
• Coordinate communication across engineering, operations, data science, and stakeholder teams
• Identify and help resolve technical, operational, and process-related obstacles
• Provide guidance on agile best practices and continuous improvement
• Support data governance, data quality, and privacy protection requirements
• Define and maintain project roles, responsibilities, and reporting structures
• Develop and manage project schedules, deliverables, risks, and opportunities
• Document and distribute meeting notes, action items, and decisions
• Establish data transfer governance, standardized intake, validation, error handling, and repeatable evaluation workflows
• Develop and maintain production-ready code, tools, and workflows to support data processing, experimentation, and dissemination, including testing and validation of outputs
• Implement, monitor, and optimize cloud compute and storage environments, leveraging automation, infrastructure-as-code, and performance tuning for distributed processing frameworks
• Manage source code, system updates, and operational tools, ensuring efficient collaboration, workflow tracking, and reliable execution of production and prototype workloads

AWS/EMR Cloud Infrastructure Lead

Network Operations

• Monitor, troubleshoot, and diagnose network outages and performance issues
• Lead incident response and root cause analysis for major network events
• Provide mentoring and technical oversight to junior NOC staff
• Coordinate with ISPs, vendors, and internal federal stakeholders to resolve networking issues
• Allocate resources effectively to ensure 24/7 operational support for the Census IOC
• Fulfill on-call responsibilities to ensure continuity of critical services