ImagineX Consulting

Architect and maintain scalable AWS cloud infrastructure and CI/CD pipelines using Terraform and GitHub Actions, managing Amazon EKS clusters and collaborating with engineering teams. | 5-8+ years in DevOps or SRE with expertise in AWS, Terraform, Kubernetes, Python, and Anthropic Claude. | ImagineX is a tech company that deploys AI‑assisted teams to build and secure mission‑critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world‑class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. About the Role We are seeking a Senior AWS DevOps Engineer located in the Metro Atlanta area to join our high‑performing engineering team. In this role, you will architect, automate, and optimize cloud infrastructure and CI/CD pipelines that support mission‑critical enterprise systems. You’ll collaborate closely with software and data engineering teams to deliver secure, scalable, and resilient solutions for our clients. This is a hands‑on senior role for someone who thrives in automation‑first environments, enjoys solving complex cloud challenges, and wants to influence DevOps strategy across multiple projects. You’ll be working with a team of ImagineX’ers on‑site three days a week in Midtown, ensuring strong alignment and a smooth partnership with the client. What You’ll Do Architect, implement, and maintain AWS cloud infrastructure using Terraform, with a strong focus on scalable, Kubernetes‑based architectures. Design, build, and optimize CI/CD pipelines using GitHub Actions to support containerized and Kubernetes‑deployed applications. Manage and automate provisioning, configuration, and scaling across multiple environments, including Kubernetes clusters and supporting services. Deploy, secure, and maintain Amazon EKS clusters and Kubernetes workloads, including cluster lifecycle management, node group optimization, and workload orchestration. Troubleshoot production issues across AWS and Kubernetes environments, perform root‑cause analysis, and drive long‑term reliability improvements. Champion DevOps culture, automation, and continuous improvement across teams What You Need 5–8+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering. Deep expertise with AWS cloud infrastructure using Terraform, with a strong focus on scalable, Kubernetes‑based architectures. Strong experience with GitHub Actions and scripting skills in Python Experience with Anthropic Claude, including prompt design, model capabilities/limitations, and best practices for using Claude in development, automation, and documentation workflows. Ability to hit the ground running with Claude‑based tooling, leveraging it for code generation, architectural exploration, troubleshooting, and operational efficiency. Nice to Have AWS certifications (Solutions Architect, DevOps Engineer, SysOps Administrator, etc.) Experience with service mesh, API gateways, or distributed systems Background in .NET, Node.js, or backend engineering SPONSORSHIP NOT AVAILABLE

Lead design and development of scalable backend services and distributed systems using Go, collaborating with teams and mentoring engineers. | 5-8+ years backend engineering with 3+ years Go experience, proficiency in cloud platforms, containerization, and API architectures. | ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. We are seeking a Senior GoLang Developer to lead the development of scalable, resilient backend services. You will architect and implement core platform components, optimize system performance, and collaborate closely with product, DevOps, and engineering leadership. This role requires deep expertise in Go, strong systems‑level thinking, and the ability to influence engineering direction. You'll enjoy working 100% remote in this full-time opportunity. Key Responsibilities Design, develop, and maintain high‑performance backend services using Go. Architect distributed systems and microservices with a focus on scalability, reliability, and observability. Optimize performance across APIs, data pipelines, and service‑to‑service communication. Implement best practices for code quality, testing, CI/CD, and cloud‑native deployment. Collaborate cross‑functionally with product managers, DevOps, and frontend teams to deliver end‑to‑end solutions. Lead technical decisions around system design, data modeling, and infrastructure. Mentor junior and mid‑level engineers, providing code reviews and architectural guidance. Troubleshoot complex production issues, including performance bottlenecks and distributed system failures. Contribute to technical roadmaps and long‑term engineering strategy. Required Qualifications 5–8+ years of backend engineering experience, with 3+ years of hands‑on Go development. Strong understanding of concurrency patterns, goroutines, channels, and Go memory management. Experience building microservices and distributed systems at scale. Proficiency with REST, gRPC, GraphQL, or event‑driven architectures. Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Strong knowledge of SQL and NoSQL databases, caching layers, and message queues. Familiarity with CI/CD pipelines, automated testing, and observability tools (Prometheus, Grafana, OpenTelemetry). Ability to write clean, maintainable, idiomatic Go code. Excellent communication skills and the ability to lead technical discussions. Preferred Qualifications Experience with high‑throughput, low‑latency systems. Background in DevOps, infrastructure‑as‑code, or SRE practices. Experience with Kafka, NATS, RabbitMQ, or similar messaging systems. Knowledge of domain‑driven design (DDD) or clean architecture. Contributions to open‑source Go projects.

Design and deploy AI-powered features in a .NET environment with technical leadership on AI/ML components. | Strong .NET engineering background with experience shipping AI/ML features and integrating LLMs and vector search into production. | ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. We’re looking for a Senior Software Engineer, AI/ML who combines a strong .NET engineering foundation with real, hands‑on experience building AI‑powered systems in production. This is not an “AI‑curious” role — it requires someone who has shipped AI features, understands the constraints of real‑world deployment, and can influence both technical and product direction. This is a 100% remote full-time position. Key Responsibilities Design, build, and deploy AI‑powered features and systems within a modern .NET environment. Own technical direction for AI/ML components, including architecture, model integration, and performance optimization. Partner with product, engineering, and client stakeholders to shape the roadmap for AI‑driven capabilities. Evaluate and integrate LLMs, vector search, embeddings, and other modern AI techniques into production workflows. Lead by example through high‑quality code, strong engineering practices, and thoughtful technical decision‑making. Drive experimentation, prototyping, and rapid iteration to validate AI‑powered product ideas. Ensure AI systems are reliable, observable, and maintainable in production environments. Mentor engineers and contribute to a culture of technical excellence and innovation. Required Experience & Skills Strong .NET engineering background with experience building production-grade systems. Demonstrated experience shipping AI/ML features in production, not just experimentation or conceptual familiarity. Hands-on experience integrating LLMs, model APIs, vector databases, or ML pipelines. Ability to influence architecture, product direction, and long-term technical strategy. Strong problem-solving skills and comfort operating in high-autonomy environments. Excellent communication skills and the ability to collaborate with cross-functional teams. Experience working in fast-paced, client-facing, or consulting-style environments is a plus. Nice-to-Have Skills Experience with Azure AI, OpenAI, or other enterprise AI platforms. Background in ML Ops, model evaluation, or production monitoring of AI systems. Experience with distributed systems, event-driven architectures, or cloud-native design. Prior work on financial, payments, or risk-related systems. Who Thrives Here Engineers who want to own both the technical and product direction of AI features. Builders who are excited to bring AI from concept to production reality. Senior ICs who operate with autonomy and influence without needing formal authority. People who want to work on high-impact, client-facing initiatives with real-world complexity.