Role Description As a trusted partner and leader in providing energy and sustainability consulting services to the federal government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of achieving energy security and data management in a changing world. As part of the Energy, Resilience and Sustainability (ERS) Division, you will collaborate with experts to provide comprehensive policy, planning, and implementation services to deliver solutions that address critical infrastructure resilience and security, and data management issues and support the military mission, while reducing environmental impacts. - Architect and lead end-to-end development of Power Apps (Canvas and Model-Driven), Power Automate workflows, and Power BI semantic models and reports in GCC High/IL5 environments - Design Dataverse data models, security roles, and business logic layers that align with federal data governance and RBAC requirements - Build and maintain complex Power Automate cloud flows and desktop flows (RPA), including multi-stage approval processes, API integrations, and error-handling frameworks - Develop and optimize Power BI semantic models using star schema design, DAX measures, and Row-Level Security (RLS) to deliver accurate reporting to federal stakeholders - Own integration design between Power Platform and external systems via custom connectors, REST APIs, and Azure services (Logic Apps, Functions, Key Vault, Service Bus) - Enforce FedRAMP High, ITAR, DFARS, and CMMC compliance standards throughout the development lifecycle — not as a checklist, but as an embedded practice - Apply NIST 800-53 security controls to solution design, including data classification, audit logging, and least-privilege access patterns - Configure and maintain DLP (Data Loss Prevention) policies, managed environments, and tenant-level governance controls in GCC High - Lead security reviews of Power Platform solutions prior to authorization and deployment into production federal environments - Serve as Delivery Lead for a cross-functional development team - Define and enforce development standards, Definition of Done criteria, documentation practices, and code review processes in a regulated environment - Lead and contribute to the Power Platform Center of Excellence (CoE) — establishing patterns, reusable components, and governance frameworks for the organization - Mentor and guide junior and mid-level developers; conduct code reviews and provide structured technical feedback - Manage ALM pipelines using Azure DevOps or GitHub Actions — automating solution promotion across dev, test, and production environments - Engage directly with federal agency stakeholders and business owners to gather requirements, manage expectations, and present technical solutions clearly - Produce and maintain solution architecture documentation, data flow diagrams, and ATO (Authorization to Operate) supporting materials - Evaluate new Power Platform features and Microsoft roadmap items for applicability to federal mission needs Qualifications - Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). - 7+ years of hands-on Power Platform development in IL5, GovCloud, or similarly regulated environments. - 3+ years of experience developing in a U.S. federal, DoD, or GCC High / IL5 environment with demonstrated knowledge of FedRAMP High compliance requirements. - Proven ownership of full-lifecycle Power Platform projects — from requirements gathering through architecture, development, testing, and production deployment - Hands-on experience with Dataverse data modeling, RBAC security roles, business rules, and relationship design - Demonstrated experience building and managing Power BI semantic models using star schema, DAX, DirectQuery/Import mode, and Row-Level Security - Experience with Power Platform ALM using Solutions, managed/unmanaged packages, environment variables, and CI/CD pipelines (Azure DevOps or GitHub Actions) - Experience as a Scrum Master or Agile Delivery Lead with verifiable delivery history - Ability to obtain and maintain a Secret security clearance, which requires U.S. Citizenship. Preferred Qualifications - Active Secret clearance or higher at time of application. - Prior experience with DoD, DHS, DOE, or other federal agencies supporting energy, infrastructure, or national security missions - Experience with CMMC Level 2/3, NIST 800-171, or ITAR-controlled environments - Custom connector development and REST/OData API integration experience - Experience with Azure services in a federal context: Logic Apps, Azure Functions, Key Vault, Service Bus, and Azure AD / Entra ID - Experience supporting HR, ITSM (ServiceNow), CRM (Dynamics 365), or other enterprise workflow platforms in a regulated environment - Demonstrated CoE leadership — building governance frameworks, reusable component libraries, or internal training programs - Experience with Power Pages (formerly Power Apps Portals) for external-facing federal web solutions - Microsoft Certified: Power Platform App Maker Associate - Microsoft Certified: Power Platform Functional Consultant Associate - Microsoft Certified: Power Platform Developer Associate - Microsoft Certified: Power Platform Solution Architect Expert - Microsoft Certified: Security, Compliance, and Identity Fundamentals - Certified SCRUM Master - CompTIA Security+ (or equivalent DoD 8570 cert) - Azure Fundamentals (AZ-900) or Azure Administrator Benefits - Our teams at CTC are passionate and thrive on collaboration in a team environment. - When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges. - Competitive salary and benefits package - Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life. Company Description CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.

Role Description This role owns the platform that keeps Givzey secure, compliant, reliable, and scalable. You'll work across AWS infrastructure, Infrastructure as Code, CI/CD, AI services, observability, and developer tooling to make sure engineers spend their time building product instead of fighting deployments. You'll partner closely with engineering, ML, and product to design the platform that powers everything from customer-facing APIs to LLM workflows running on Amazon Bedrock and SageMaker. This is not a "keep the lights on" devops role. You'll actively shape how we deploy software, provision infrastructure, manage AI workloads, and scale the engineering organization. Who thrives here - You're the engineer who gets excited about replacing a manual deployment with a one-click pipeline. - Automating infrastructure instead of clicking around the AWS console. - Designing systems that make the rest of engineering move faster. - You think in terms of reliability, observability, automation, and repeatability. - You're comfortable wearing multiple hats. What you'll do - Cloud infrastructure - Design, build, and maintain our AWS infrastructure. - Manage networking, IAM, compute, storage, databases, and security across environments. - Build scalable infrastructure capable of supporting rapid product growth. - Improve resiliency, availability, and disaster recovery. - Infrastructure as Code - Own our Infrastructure as Code strategy using Pulumi. - Build reusable infrastructure components and shared modules. - Eliminate manual infrastructure changes wherever possible. - Review and evolve our cloud architecture as the company grows. - CI/CD - Build and maintain deployment pipelines for applications and infrastructure. - Improve release automation and deployment safety. - Reduce friction in local development and engineering workflows. - Help establish engineering best practices around testing and deployment. - AI Platform - Build and maintain the infrastructure powering our AI systems. - Work with services such as Amazon Bedrock, SageMaker, OpenSearch, and supporting AWS services. - Support LLM evaluation pipelines, RAG infrastructure, vector search, and model deployment. - Partner with ML engineers to operationalize new AI capabilities. - Platform Operations - Monitor production systems and improve observability. - Respond to production incidents and drive root-cause analysis. - Improve system reliability through automation rather than manual processes. - Continuously evaluate performance, cost, and scalability. - Engineering - Collaborate closely with product, engineering, ML, and customer success. - Help define technical standards and infrastructure direction. - Participate in architecture discussions across the platform. - Mentor other engineers on cloud infrastructure and operational best practices. Qualifications - 5+ years building and operating production software systems. - Strong experience with AWS in production environments. - Experience designing Infrastructure as Code using Pulumi, Terraform, or CloudFormation. - Experience building CI/CD pipelines using GitHub Actions. - Strong Python experience. - Experience building APIs and backend systems. Requirements - You should be comfortable working with technologies such as: - AWS (multi-account environments using AWS Organizations) - ECS - Docker - IAM - VPC networking - RDS - S3 - Lambda - CloudWatch - SNS/SQS - Event-driven architectures - Experience with some of the following is highly desirable: - Amazon Bedrock - SageMaker - Vector databases - Retrieval-Augmented Generation (RAG) - LLM evaluation pipelines - Model deployment - ML infrastructure - Dagster or similar orchestration platforms Working Style - You automate repetitive work instead of documenting it. - You care about reliability as much as shipping features. - You enjoy improving developer experience. - You think systems should become simpler over time. - You take ownership rather than waiting for someone else to fix infrastructure problems. Mindset - Strong written communication. - Comfortable working in ambiguity. - Curious about modern AI infrastructure and where it's headed. - Interested in building systems that engineers enjoy working in. - Excited by the challenge of building infrastructure from the ground up rather than inheriting a mature platform. Nice to have - Pulumi experience - Dagster experience - Amazon Bedrock - SageMaker - OpenSearch - ECS - PostgreSQL - Redis - New Relic or modern observability platforms - Experience supporting AI or ML products - SOC 2 or security/compliance experience - Startup experience What this isn't - This isn't a traditional DevOps role where tickets get tossed over the wall after development. - This isn't an SRE role focused exclusively on uptime. - This isn't an ML engineering role building models. - You're building the platform that allows all of those disciplines to move faster. - You'll own infrastructure decisions, improve how software gets delivered, and help shape the technical foundation of an AI company that's still early enough for your decisions to matter years from now.

• You will design and build the foundational development & infrastructure powering our agentic security platform — secure multi-tenant systems, distributed services, scalable execution layers, and the internal platform capabilities that allow our AI agents to operate reliably in production environments. • You’ll work closely with founders, product, AI, and security engineering teams to build systems that are secure, observable, resilient, and scalable from day one. • Own end-to-end design and delivery of platform capabilities. • Build and scale distributed backend services powering AI agents and customer workflows. • Improve authentication, authorization, and tenant isolation across the platform. • Design infrastructure and observability systems for reliability at scale. • Deploy and operate production-grade systems with strong ownership beyond launch. • Collaborate cross-functionally with engineering, product, customer-facing teams, and leadership to shape platform architecture and engineering standards. • Build high-scale, multi-tenant backend systems that securely support multiple customer environments. • Design and operate distributed microservices with strong reliability and fault tolerance. • Build asynchronous execution pipelines, event-driven architectures, and workflow orchestration systems. • Improve scalability, throughput, concurrency, and system performance across services. • Design resilient APIs, service communication patterns, and infrastructure abstractions.

• Contribute to building and designing the self-service platform • Architect and build self-service infrastructure frameworks • Codify and abstract AWS footprint into reusable infrastructure-as-code modules • Build and implement evaluation frameworks and observability practices • Evaluate ecosystem needs holistically to spot platform investments • Align architectural deliverables with application workflows • Provide technical escalation availability during agreed windows