Cloud Engineer

Duration: 2+ Months • Location: PA-Philadelphia, Hybrid 3-4 days onsite

About the role

Every Turnberry consultant belongs to a practice, an internal group of consultants and leaders with shared experience and expertise. Each of these practices aligns to one of the core services Turnberry offers to clients. As a Cloud Engineer, you will join Turnberry's Digital Modernization practice, where technology and strategy combine to deliver exceptional digital experiences, empowering organizations to thrive in today's digital market.

Responsibilities

• Provide senior level expertise on decisions and priorities regarding the enterprise’s overall systems architecture
• Facilitate the establishment and implementation of standards and guidelines that guide the design of technology solutions including architecting and implementing solutions requiring integration of multiple platforms, operating systems, and applications across the enterprise
• Review, advise, and design standard software and hardware builds, system options, risks, costs versus benefits, and impact on the enterprise business process and goals
• Develop and document the framework for integration and implementation for changes to technical standards
• Assist in the development of and manage an architecture governance process
• Provide technical guidance to project team areas as appropriate
• Track industry trends and maintain knowledge of new technologies to better serve the enterprise’s architecture needs
• Build and improve the performance of cloud applications and infrastructure
• Integrate, install, configure, test, and support applications for cloud-based service
• Work closely with Engineering, QA, DevOps, and support teams to reach overall company objectives
• Deploy and configure an AWS-hosted, client controlled open-weight coding model endpoint using client-provided infrastructure
• Configure model-serving runtime, GPU allocation, endpoint exposure, health checks, service routing, basic error logging, credential handling, and repeatable deployment artifacts
• Expose the model endpoint through an OpenAI-compatible API path capable of supporting representative coding prompts
• Configure and validate OpenCode integration with the controlled model endpoint, including any required adapter, proxy, gateway, or compatibility layer
• Demonstrate end-to-end OpenCode-to-model request flow for representative coding-agent workflows
• Demonstrate representative coding-assistance use cases, including code completion, code explanation, unit test generation, refactoring assistance, error diagnosis, small feature implementation, tool usage, repository/file-context prompts where supported, client Catalyst-style prompts and agent skills, and OpenCode/Open Spec workflows
• Collect and save basic performance data in Grafana, including time to first token, end-to-end latency, tokens per second, concurrency behavior, error rate, GPU utilization, and memory utilization
• Implement baseline observability for the POC, including logs, health checks, basic metrics, and simple dashboard or metric views where feasible
• Provide reusable deployment and configuration artifacts, such as Helm values, Kubernetes manifests, scripts, runtime configuration, gateway/proxy configuration, runbook, troubleshooting notes, and environment assumptions
• Support limited developer validation with a small client designated pilot group if access, timing, and dependencies allow
• Support a lightweight quality comparison between the open-weight model and client's current coding-assistant experience if time and access allow
• Provide preliminary Phase 1 sizing inputs, including throughput observations, bottlenecks, latency drivers, scaling considerations, recommended AWS instance families, and remaining unknowns
• Deliver a written final report covering architecture, deployment, OpenCode integration results, functional test results, performance measurements, technical gaps, security and operational considerations, cost and scale observations, reusable artifacts, and Phase 1 readiness
• Deliver a clear Phase 1 go/no-go recommendation, including required changes, unresolved risks, and recommended next steps for AWS-based enterprise-scale implementation
• Conduct a knowledge-transfer session with client stakeholders at the end of the engagement

Qualifications

• Bachelor's or Master's Degree in Computer Science, Information Systems, other related field, or equivalent work experience
• Typically has 3 to 5 years of IT work experience in infrastructure/systems environments performing systems planning, architecture design, engineering (hardware and software), and optimization
• Experience designing web applications environments on AWS
• Experience with Linux and Automation Tools such as Chef, Ansible or Puppet
• Programming abilities in any of the following Java, C++, Javascript, Python or Ruby

Pay

The salary range for this role is $100,000 to $140,000 or the hourly equivalent. Pay is based on several factors including but not limited to education, work experience, certifications, etc.

Benefits

• Comprehensive healthcare package (medical, dental, vision)
• Disability and group term life insurance
• Health and flexible spending accounts
• Utilization bonus
• 401(k) with match
• Flexible time off for salaried employees
• Parental