Trility Consulting

DevOps Engineer

• Lead a short-term engagement focused on establishing secure secrets management patterns
• Strengthen application security practices
• Create repeatable DevSecOps standards across a modern Azure-based environment
• Serve as a trusted advisor and hands-on technical leader
• Partner with engineering and architecture teams to assess current-state practices and identify security gaps
• Design future-state patterns and implement foundational security controls
• Improve SDLC controls and create reusable guidance that can be adopted across multiple teams and applications

Senior DevSecOps Consultant – Azure, Secrets Management

Technical Recruiter

• Help accelerate the growth of the organization as a brand ambassador
• Identify excellent teammates to join the company
• Collaborate across the evolving organization
• Quickly learn Trility's service offerings and technical hiring profiles
• Build credibility with candidates through informed technical conversations
• Independently manage multiple technical requisitions simultaneously
• Consistently present qualified candidates who meet both technical and cultural requirements
• Maintain exceptional candidate experience and communication throughout the hiring process
• Partner closely with leadership to influence hiring strategy and talent market positioning

Senior Technical Recruiter

Consultant

• Collaborate with clients to test Fabric’s performance compared to on-premise systems and build robust data solutions
• Build and maintain Microsoft Fabric data pipelines supporting REST APIs, SQL Server sources, and file-based ingestion processes
• Develop and orchestrate Spark notebooks within Microsoft Fabric
• Implement Bronze, Silver, and Gold lakehouse patterns within OneLake environments
• Develop ingestion processes that accommodate schema drift and evolving source systems
• Build, test, and optimize ETL/ELT processes for performance, scalability, and maintainability
• Support the implementation of Direct Lake semantic model solutions and downstream analytics requirements
• Participate in Azure DevOps CI/CD processes, including Dev/Test/Prod promotion workflows
• Support metadata, lineage, and governance integrations within the broader data platform
• Collaborate closely with client engineers through paired development and knowledge-sharing activities
• Apply data engineering best practices related to testing, monitoring, documentation, and operational support

Senior Azure Data Consultant

• Analyze, interpret, and reverse-engineer existing Oracle Data Integrator (ODI) workflows and data transformation logic
• Document and understand current data flows, dependencies, and legacy data structures
• Design Snowflake-optimized data models and ELT patterns that improve performance and scalability
• Write performance-aware SQL and implement ELT transformations within Snowflake
• Restructure inefficient or “stair-step” legacy models into normalized, maintainable, and scalable architectures
• Cleanse legacy artifacts, including redundant columns, null-handling inconsistencies, and outdated dependencies
• Design conformed and curated data objects to support analytics and reporting needs
• Build modular, testable transformation pipelines using DBT or approved transformation tools
• Manage Snowflake development environments, including roles, access control, and governance for development work
• Establish data validation and reconciliation patterns to compare Oracle vs. Snowflake resultsImplement data quality checks to ensure accuracy and consistency during migration
• Collaborate closely with QA and review teams to validate transformation logic and performance outcomes

Snowflake Data Consultant

• Support the hardening and operational security of a modern Kubernetes-based platform environment aligned to CMMC and Zero Trust principles
• Serve as a hands-on extension of the Client’s Engineering team
• Focus on implementing and operationalizing key AWS security controls
• Secure critical platform services
• Improve the overall compliance and stability posture of the environment
• Collaborate with platform engineering teams to improve operational stability, compliance posture, and long-term maintainability
• Develop and maintain Helm charts, Kubernetes manifests, and automation routines supporting platform operations
• Partner with Architecture Review Boards (ARB), security stakeholders, and engineering leadership to validate implementation approaches and compliance requirements
• Produce clear technical documentation, configuration standards, and operational runbooks
• Contribute to operational automation, migration tooling, and platform sustainability initiatives

Senior DevSecOps Consultant – ArgoCD, Kubernetes, AWS

Backend Engineer

• Design and develop modern full-stack application features using React, TypeScript, Python, and FastAPI
• Build intuitive, high-quality user experiences that streamline complex workflows for business users
• Develop backend APIs and services that integrate with internal enterprise systems and downstream workflows
• Help modernize and simplify legacy operational processes through thoughtful application design and automation
• Build and optimize PostgreSQL database interactions within AWS RDS environments
• Deploy and manage cloud-native applications within AWS infrastructure using Infrastructure as Code practices with CloudFormation
• Collaborate closely with client stakeholders, product owners, and fellow developers to rapidly iterate on requirements and solutions
• Support document generation workflows and downstream policy system integrations
• Leverage modern AI-assisted development tooling, including ClaudeCode, to accelerate development and improve delivery efficiency
• Contribute to code quality, maintainability, testing, and deployment best practices throughout the engagement

Senior AppDev Consultant – React, Python, AWS

Data Engineer

• Design and implement scalable data solutions within the Microsoft Fabric ecosystem
• Strong experience building reports and dashboards in Power BI
• Stand up and configure Fabric services to support data ingestion, transformation, modeling, and reporting
• Develop and optimize semantic models that support both reporting and broader data consumption needs
• Establish and guide best practices for workspace organization, capacity management, and workload distribution
• Design and implement secure data access patterns, including integration between Snowflake and Fabric
• Evaluate and support Snowflake-to-Fabric connectivity, mirroring strategies, and performance optimization
• Identify opportunities to leverage Fabric capabilities such as data agents, automation tooling, and DevOps integration
• Build and support automation solutions, including replacements for legacy processes (e.g., Oracle BI agents, scheduled workflows)
• Partner with client teams to guide platform adoption and increase internal capability through collaborative sessions
• Contribute to the development of standards, reusable patterns, and migration playbooks for long-term sustainability

Senior Data Platform Consultant, Microsoft

• Design and implement a CMMC-aligned GitLab architecture supporting 250–500+ users
• Deploy and operate self-managed GitLab on Kubernetes using Crossplane
• Architect secure GitLab runner strategies (pooling, isolation, autoscaling) for mixed workloads
• Evaluate and document architectural approaches (single vs. segregated GitLab instances) with clear tradeoff analysis
• Translate NIST 800-171 and CMMC requirements into enforceable GitLab configurations and access controls
• Implement configuration-as-code using Terraform (e.g., GitLab provider) to ensure versioned, auditable, and repeatable platform management
• Design and implement RBAC, least-privilege models, and segregation of duties
• Establish drift detection and audit mechanisms to monitor and remediate unauthorized changes
• Integrate GitLab into the broader Kubernetes platform ecosystem, including GitOps workflows (e.g., ArgoCD)
• Produce architecture documentation, runbooks, and reference patterns to enable internal ownership and long-term sustainability
• Collaborate with cybersecurity, architecture review boards, and platform teams to validate compliance and design decisions

Mid-Level DevSecOps Consultant – GitLab Platform

Business Intelligence Developer

• Design, build, and iterate on high-quality Power BI reports and dashboards at scale
• Translate business requirements into intuitive, user-friendly visualizations
• Develop and leverage semantic models to support reporting needs
• Build reporting solutions against Snowflake data and optimize performance for high-usage scenarios
• Implement row-level security (RLS) and contribute to scalable, governed data access patterns
• Assist in establishing deployment pipelines and promotion processes across development, testing, and production environments
• Help define and implement best practices for report development, organization, and governance
• Build and support automation workflows to replicate legacy reporting processes (e.g., scheduled delivery, data blending)
• Partner closely with client teams through collaborative working sessions and knowledge sharing
• Contribute to documentation, reusable patterns, and migration playbooks to support long-term client self-sufficiency

Senior Power BI Consultant

• Partner with Trility clients, taking them from “napkin to production.”
• Listen to client challenges with empathy and discover the right approach to deliver value.
• Accelerate report development to keep pace with evolving data models.
• Transform complex datasets into meaningful insights through efficient reporting solutions.
• Jump in midstream, work independently, and build high-quality solutions using Power BI, Paginated Reports, DAX, and SQL.

Azure Data Reporting Consultant

• Understanding client business to maximize investment
• Applying skills to deliver value from day one
• Ensuring the team delivers tangible value frequently
• Collaborating with the client to understand their goals and assist in achieving them

Delivery Consultant

• Support and enhance Kubernetes-based workloads and platform services within AWS
• Maintain and extend infrastructure managed through Terraform and Terragrunt
• Continue modernization efforts within the Elastic Stack and Kibana environment
• Develop and improve Python-based tooling for runtime visibility, auditing, and platform insights
• Containerize applications and services, ensuring they are deployment-ready within the platform ecosystem
• Work within and contribute to an existing CI/CD pipeline, supporting ongoing deployment and integration workflows
• Assist with migration and decommissioning of legacy infrastructure and services
• Troubleshoot complex issues across cloud infrastructure, containerized environments, and platform services, performing root cause analysis and resolution
• Implement and support infrastructure automation and operational best practices
• Contribute to platform and security modernization initiatives aligned with mission requirements and cost optimization goals
• Collaborate with technical leadership and stakeholders as priorities evolve, ensuring alignment and forward progress
• Document systems, processes, and solutions to support maintainability and knowledge sharing