Explore 2 python cloud platform developer jobs from 2 hiring companies in Fairfield Glade, TN, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer

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Python Cloud Platform Developer Jobs

Cellular Sales

Xcel Engineering

Hybrid

Onsite

COMPANY OVERVIEW
XCEL Engineering, Inc. is an award-winning small business that provides trusted information technology, engineering, consulting and project management solutions and services to federal agencies and organizations. Originally founded in 1971 by professional engineers at the University of Tennessee, XCEL was acquired in 2003 by U.S. Army and Navy veterans and in 2023 became a MartinFed company. 
XCEL Engineering is a part of IT Lab Partners (ITLP) which was created to support a leading research facility in the East Tennessee region in recruiting the best and the brightest technical talent. Considering joining our impressive team today!
JOB OVERVIEW
XCEL Engineering is seeking a qualified applicant for a Kubernetes Platform Engineer. As a Platform Engineer, you will implement, and maintain the infrastructure underpinning our on-premises Kubernetes clusters, with a strong focus on scalability, reliability, and maintainability. You will lead the technical direction of our platform engineering initiatives, evaluate and integrate key technologies, and deliver a robust internal platform that powers development across the organization.
ESSENTIAL FUNCTIONS
<div>Cluster Operations &amp; Administration</div>
<ul>
<li>Manage the full lifecycle of Kubernetes clusters (on-premises K3s/RKE2, GKE, and EKS), including upgrades, security patching, scaling, and capacity planning</li>
<li>Troubleshoot cluster-level issues including control plane problems, node failures, and resource constraints</li>
<li>Implement and maintain cluster security hardening based on CIS benchmarks and organizational security policies</li>
<li>Manage etcd cluster health, backup procedures, and disaster recovery capabilities</li>
<li>Monitor cluster performance and optimize resource utilization across multi-tenant workloads</li>
<li>Coordinate with datacenter operations team for physical infrastructure changes and maintenance windows</li>
</ul>
<div>Networking &amp; Cilium CNI</div>
<ul>
<li>Implement, configure, and maintain Cilium CNI across on-premises and cloud Kubernetes environments,</li>
<li>Design and enforce network policies to achieve secure multi-tenant isolation.</li>
<li>Troubleshoot complex pod networking issues including DNS resolution, service discovery, and connectivity problems.</li>
<li>Configure and maintain BGP peering with physical network infrastructure for on-premises integration.</li>
<li>Work with network engineering team on firewall rules, VLANs, IPv6 networking, and network architecture.</li>
</ul>
BASIC QUALIFICATIONS
<ul>
<li>Bachelor's Degree in computer science or closely related field and a minimum of 8 years as a Platforms engineer. At least 5 years of Kubernetes experience. An equivalent combination of education and experience may be considered.</li>
<li>The ability to obtain and maintain a Department of Energy "Q" clearance is required. This requires US Citizenship.</li>
<li>Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent experience.</li>
<li>Demonstrated experience administering Kubernetes on on-premises infrastructure (K3s, RKE2, or similar bare-metal distributions).</li>
<li>Experience with cloud-managed Kubernetes (GKE and/or EKS).</li>
<li>Strong understanding of Linux networking fundamentals: iptables/nftables, routing tables, DNS, TCP/IP stack, network troubleshooting.</li>
<li>Experience with GitOps methodologies and tools such as ArgoCD or Flux.</li>
<li>Proficiency in scripting and automation: Bash, Python, Go.</li>
<li>Cilium CNI or equivalent production experience.</li>
<li>Ability to work collaboratively in a team environment and communicate technical concepts clearly.</li>
<li>Understanding of Kubernetes security best practices including Pod Security Standards, RBAC, and secrets management.</li>
<li>GCP (Google Cloud Platform) and/or AWS (Amazon Web Services) cloud platform experience.</li>
</ul>
DESIRED QUALIFICATIONS
<ul>
<li>Go programming experience for operator maintenance and platform tooling development.</li>
<li>CKA (Certified Kubernetes Administrator) or CKS (Certified Kubernetes Security Specialist) certification.</li>
<li>Background in BGP routing protocols and network engineering concepts.</li>
<li>IPv6 networking experience.</li>
<li>Infrastructure as Code experience with Terraform or Ansible.</li>
<li>Experience with internal developer platform (IDP) tools such as Backstage or similar.</li>
<li>Experience with service mesh technologies (Istio, Linkerd).</li>
<li>Excellent understanding of code review and familiarity with GitHub and GitLab workflows.</li>
</ul>
PHYSICAL REQUIREMENTS &amp; ENVIRONMENTAL CONDITIONS 
<ul>
<li>Inside office environment.</li>
<li>Working on a computer for long periods of time.</li>
<li>May involve long period of sitting at a desk.</li>
<li>The work environment is fast-paced and sometimes involves extreme deadline pressures.</li>
</ul>
OTHER DUTIES 
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Xcel Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, religious creed, gender, sexual orientation, gender identity, gender expression, transgender, pregnancy, marital status, national origin, ancestry, citizenship status, age, disability, protected Veteran Status, genetics or any other characteristics protected by applicable federal, state or local law. 
If you are a qualified individual with a disability or disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Xcel Engineering's current openings as a result of your disability. You can request reasonable accommodations by calling 855.212.1810. Thank you for your interest in Xcel Engineering. All positions at Xcel Engineering, Inc. are contingent upon passing both a background check and drug screening prior to a start date and are subject to random drug screenings during the employment period. In addition, Xcel Engineering is an E-Verify employer.

Kubernetes Platform Engineer

8+ years as platforms engineer; 5+ years Kubernetes; US citizenship; ability to obtain DOE Q clearance; experience with on‑prem and cloud Kubernetes.

Cellular Sales:
Solutions Engineer Classification Exempt Reports to: IT Enterprise Architect JOB DESCRIPTION Summary/ObjectiveAs a Solutions Engineer, you will serve as a bridge between business stakeholders and technology solutions, applying your expertise to evaluate organizational challenges and determine the most appropriate technical approach. In this role, that focus is specifically directed toward AI/ML technologies — assessing whether problems are best addressed by solutions such as image recognition, ML forecasting, LLM prompting, or agentic workflows, versus a more deterministic or data-driven approach. Cellular Sales is in the early stages of its AI adoption journey, and this role will work closely alongside an Enterprise Architect to establish patterns, evaluate emerging tooling, and develop repeatable solutions that can scale across the organization. The work is intentionally exploratory in nature, with a practical focus on delivering tangible business value at each stage. You will lead discovery conversations with departments, design and build proof-of-concept solutions leveraging cloud AI APIs, serverless architectures, and modern integration patterns, and guide the organization in responsible, effective adoption of AI tooling. You will work across functions to ensure that prototypes are secure, well-governed, and grounded in practical business value before any investment in full-scale development.  Essential Functions<ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Partner with business departments to gather and analyze problem statements, translating operational challenges into clearly defined technical requirements. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Evaluate whether a given problem is best addressed by an AI/ML solution (such as image recognition, ML forecasting, LLM prompting, LLM agents, or retrieval-augmented generation) or by a more appropriate deterministic or rule-based data solution, and clearly communicate that recommendation with supporting rationale. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Design and build proof-of-concept prototypes using cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex, etc.), cloud-native components such as API gateways, message queues, serverless functions, and managed ML endpoints. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Develop lightweight, functional web UIs to demonstrate prototype functionality to stakeholders, prioritizing clarity and usability over production-readiness. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Implement appropriate authentication, authorization, and safety guardrails in all AI prototypes, including prompt injection defenses, output filtering, rate limiting, and role-based access controls. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Evaluate and select among AI solution patterns — including zero-shot and few-shot prompting, fine-tuning, agentic workflows, multi-modal models, and classical ML pipelines — based on problem fit, cost, and feasibility. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Architect event-driven and API-based integration patterns connecting AI services to existing enterprise systems and data sources. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Assess AI capabilities embedded in commercial off-the-shelf (COTS) applications for security risks and operational effectiveness, including evaluating data handling practices, model transparency, vendor access controls, and potential for data exfiltration or unintended disclosure. Benchmark these capabilities against internally developed or self-hosted AI tooling to inform build-vs-buy decisions and flag compliance concerns. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Document prototype architectures, evaluation findings, and recommendation reports in a format accessible to both technical and non-technical audiences. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Stay current with the rapidly evolving AI/ML landscape, assessing new tools, models, and frameworks for organizational applicability. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Collaborate with cloud infrastructure, security, and data engineering teams to ensure prototypes adhere to governance, compliance, and cost management standards. </li></ul><ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Mentor junior engineers and serve as an internal subject matter expert on AI solution design patterns and responsible AI practices. </li></ul> Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.  Competencies <ol><li>Analytical Thinking: Ability to deconstruct ambiguous business problems, identify root causes, and match solution approaches to problem characteristics with clear, defensible reasoning. </li><li>Technical Breadth: Comfortable operating across a wide spectrum of technologies — from cloud infrastructure and APIs to frontend UI and ML concepts — without requiring deep specialization in all areas. </li><li>Communication: Able to translate complex AI concepts into plain language for non-technical stakeholders, and to produce well-structured written evaluations and recommendations. </li><li>Customer Focus: Actively listens to department needs, manages expectations around prototype scope, and prioritizes delivering meaningful demonstrations of value. </li><li>Judgment and Responsibility: Exercises sound judgment when working with AI systems that may handle sensitive data, recognizing the ethical, security, and compliance implications of AI tooling. </li><li>Problem Solving: Thrives in ambiguous, first-of-kind challenges with limited prior precedent, iterating quickly and pivoting approaches based on findings. </li><li>Research and Experimentation: Proactively investigates emerging AI tools, frameworks, and methodologies, applying a structured and curious mindset to evaluate their potential applicability and business fit within the organization. </li></ol> Supervisory ResponsibilitiesThis position has no supervisory responsibilities. Work EnvironmentThis job is in a professional office environment Physical DemandsMust be able to perform repetitious hand/eye movement, must have reliable transportation. Position Type/Expected Hours of Work Full Time, 8:00-5:00 Monday through Friday Travel0-10% Required Education and Experience<ol><li>High School diploma or GED </li><li>5+ years of IT infrastructure or software engineering experience </li><li>3+ years of hands-on experience with cloud platforms (AWS, Azure, or Google) </li><li>1+ years of direct experience building solutions using AI/ML APIs or frameworks </li><li>Demonstrated experience evaluating and prototyping solutions across multiple technology approaches </li></ol> Preferred Education and Experience<ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Experience with cloud platforms, preferably AWS, and/or Azure </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Experience with serverless compute (AWS Lambda, Azure Functions) and API gateway patterns </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Experience with message queuing services (AWS SQS/SNS, Azure Service Bus, or similar) </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Experience with Python and/or TypeScript for scripting, API integration, and lightweight application development </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Experience with REST and/or GraphQL API design and consumption </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Experience developing lightweight frontend prototypes using React, Angular, or similar frameworks for demonstration and stakeholder review purposes </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Experience with CI/CD pipelines and version control (Git) </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Experience with containerization (Docker) and basic Kubernetes concepts </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Familiarity with cloud AI/ML services such as AWS Bedrock, AWS SageMaker, Azure OpenAI, or Azure ML </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Familiarity with building and orchestrating LLM-based workflows including agents, tool use, and retrieval-augmented generation (RAG) </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Familiarity with classical ML use cases including image recognition, forecasting, classification, and anomaly detection, and when each is appropriate </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Familiarity with prompt engineering techniques and LLM safety and guardrail patterns </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Familiarity with data pipeline patterns or ETL processes, particularly for preparing data for AI consumption </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">AWS Certified: Solutions Architect Associate or Professional, Machine Learning Specialty, or Developer Associate </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Microsoft Certified: Azure Solutions Architect Expert, Azure Developer Associate, or Azure AI Engineer Associate </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Ability to assess total cost of ownership for AI prototypes, including API token costs, compute, and storage </li></ul><ul style="margin-top: 0in;"><li style="color: black; margin-bottom: 0in;">Strong documentation and technical writing skills </li></ul> AAP/EEO Statement Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Solutions Engineer

High school diploma or GED; 5+ years IT infrastructure or software engineering; 3+ years cloud platform experience; 1+ year AI/ML API/framework experience; proven ability to prototype across multiple tech approaches

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Python Cloud Platform Developer Jobs in Fairfield Glade, TN, US

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