sr cloud engineer.

job summary:
Build a cloud and AI platform that application teams, data scientists and business lines can use without having to reinvent security, deployment or governance each time. The Senior Cloud Engineer is a hands-on builder who works across the whole stack: the cloud infrastructure, the services and interfaces that run on it, and the AI capabilities that increasingly sit inside them.

Role Positioning

This role suits an engineer who is equally comfortable writing infrastructure as code, building a production API and front end, and wiring a large language model into a governed workflow. You will deliver working platform capabilities, set technical standards for the engineers around you, and help turn early AI experiments into services the client can run, audit and trust. You will partner closely with security, data, model risk and the application teams who are your customers.

 
 
location: Richardson, Texas
job type: Permanent
salary: $110,000 - 130,000 per year
work hours: 8am to 5pm
education: Bachelors
 
responsibilities:
Cloud platform engineering. Design, build and operate cloud services on AWS: account structure, networking, identity and access, container and serverless runtimes, data stores and shared services. Define infrastructure with Terraform or CloudFormation, apply security and compliance guardrails as code, and keep environments reproducible, observable and cost aware.

Full stack delivery. Build and ship production services end to end: back-end APIs and event-driven services in languages such as Python, Java or TypeScript, front ends in a modern framework such as React, and the data layer behind them. Raise the bar on testing, code review and design, and contribute reference implementations that other teams adopt.

AI platform engineering. Build the shared platform that lets teams use generative AI safely. That includes model access through Amazon Bedrock and a common model gateway, retrieval-augmented generation with vector stores and knowledge bases, orchestration with frameworks such as LangChain and LangGraph, and agent runtimes including OpenClaw where they are approved. Provide reusable patterns for prompts, tools, memory and evaluation so product teams build on a tested foundation.

Governed and secure agents. Treat autonomous and tool-using agents as privileged software. Apply least-privilege identity and permissions to every tool and data source, sandbox execution, require human approval for consequential actions, and keep complete audit logs of prompts, tool calls and outputs. Work with security and model risk on threat modeling for prompt injection, data leakage and excessive agent autonomy before capabilities reach production.

Evaluation, observability and cost. Build automated evaluation for quality, accuracy, safety and drift, with regression tests that run in the delivery pipeline. Instrument latency, token consumption, error rates and cost by team and use case, and use that data to select models, tune retrieval and control spend.

Delivery automation and reliability. Contribute to the paved-road CI/CD pipelines, change traceability and service level objectives that the wider organization relies on. Take part in an on-call rotation, lead incident response for the services you build, and follow through on corrective actions.

Technical leadership. Mentor engineers, review designs, write clear architecture decision records and represent the platform in design reviews and with auditors. Help evaluate new tools and frameworks with a skeptical, evidence-based eye, and say plainly when something is not ready for a regulated environment.

 
qualifications:
- Five or more years of software or cloud engineering experience, including at least four years building and operating production systems on AWS, Azure or Google Cloud.

- Strong full stack skills: back-end services in Python, Java or TypeScript, plus a modern front-end framework and relational and NoSQL data stores.

- Hands-on experience with infrastructure as code, containers and Kubernetes or serverless, CI/CD and cloud observability.

- Hands-on experience building generative AI applications on a managed platform such as Amazon Bedrock, including retrieval-augmented generation, vector search, guardrails and prompt management.

- Working experience with orchestration and agent frameworks such as LangChain, LangGraph or OpenClaw, and an understanding of their security and operational limits.

- Solid grasp of cloud security fundamentals, including IAM, network isolation, secrets management and data protection.

- Bachelor's degree in computer science, engineering or a related field, or equivalent experience.

Preferred

- Experience in financial services or another regulated industry, including work with auditors, model risk or compliance teams.

- Experience with model evaluation tooling, fine-tuning or hosting open-weight models, and cost optimization of inference workloads.

- Experience with the Model Context Protocol, agent identity patterns and multi-agent designs.

- AWS professional or specialty certifications, for example Solutions Architect Professional, DevOps Engineer or Machine Learning.

- Master's degree in a technical discipline.

 
skills:
AI platform,API,AI capabilities,AI,cloud infrastructure,Cloud Engineer,front end,model risk,wiring,experiments,governance,security,technical standards


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.