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

python-cloud-platform-developer

Python Cloud Platform Developer

Branson

Ozark

Nixa

Forsyth

Springfield

Harrison

Hollister

Republic

Mountain Home

Merriam Woods

Aurora

Battlefield

Marshfield

Berryville

Rockaway Beach

Willard

Rogersville

Kimberling City

Python Cloud Platform Developer Jobs

Bass Pro Shops

O'Reilly Auto Parts

Onsite

The Principal Platform Engineer is a seasoned and technical leader who will create and redesign broad technical infrastructure and information systems that define how servers, networks, and storage systems work together to support the needs of the organization. Document current-state architecture, design ideal- state architecture, and develop plans and solutions to deploy new solutions that meet emerging business needs. Ensure stability and scalability, anticipating capacity growth through careful planning and awareness of trends. Develop teams and engineers within the organization, setting project deadlines and improving engineering processes and technologies.We are specifically looking for GCP experience. This role will be located in Springfield MO without any exceptions. Responsibilities and Duties: <ul><li>Direct and oversee infrastructure developments and maintenance to ensure business requirements can be met.</li><li>Drive advances in technologies and architectures to increase the value delivered by technology and digital capabilities, either through improvements to the efficiency of the technology environment or through those that reduce the total cost of technology operations. Recommend and participate in activities related to the design, development, and maintenance of the digital capabilities within the enterprise architecture.</li><li>Create/manage project storyboards/viewpoints that articulate project requirements and lead to successful implementation of work.</li><li>Elicit complex project requirements using a variety of methods, such as interviews, document analysis, workshops, and workflow analysis, to express the requirements in terms of target user roles and goals.</li><li>Document complex &#34;as is&#34; and &#34;to be&#34; processes and describe the changes required to migrate to the &#34;to be&#34; capability to record accurately the change required.</li><li>Explore and develop a detailed understanding of external developments or emerging issues and evaluate their potential impact on, or usefulness to, the organization.</li><li>Conduct complex feasibility studies from a technological and organizational perspective and document findings to complete cost-benefit analysis on implementing changes to business processes, products, or business unit structure.</li><li>Support Information Security in detecting and analyzing security incidents, including attacks, breaches, and identified vulnerabilities, and remediate any security gaps in line with the security incident management procedure.</li><li>Maintain and renew a deep knowledge and understanding of the organization&#39;s policies and procedures and of relevant regulatory codes and codes of conduct, and ensure own work adheres to required standards. Monitor and review performance and behaviors within area of responsibility to identify and resolve noncompliance with the organization&#39;s standards, policies and relevant regulatory codes and codes of conduct.</li><li>Discuss and recommend more complex or innovative technical developments to improve the quality of the infrastructure platform to better meet users’ needs.</li><li>Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an in-depth understanding of technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.</li><li>Develop straightforward business cases to quantify current costs, justify project investment, and identify the return on investment.</li><li>Use the organization&#39;s formal development framework to identify the team&#39;s individual development needs. Plan and implement actions, including continuing professional development specified by professional or regulatory institutions, to build their professional capabilities. Provide informal training or coaching to others throughout the organization in own area of expertise to enable others to improve performance and fulfill personal potential.</li><li>Design systems which provide fault isolation and resolution for complex challenges to limit and address issues promptly.</li><li>Design and monitor the quality of system and component tests and respond to user emails to monitor, diagnose, and correct performance issues.</li><li>Contribute to the continued improvement of our Infrastructure Automation tooling and processes</li><li>Participate in after hours support, including applicable oncall responsibilities</li><li>Contribute to Knowledge Base articles and Standard Operating Procedures, ensuring routine tasks and problems are well documented</li><li>Participate in the onboarding and training of new team members</li></ul>Skills:Required:<ul><li>Determine and analyze trends from data that is collected to assist in compiling reports that will help in decision-making.</li><li>Understand business context, needs, rules, and architecture, as well as organizational structure, cultures, capabilities, and processes to document the current state of processes and the business.</li><li>Express user needs in terms of business requirements, identify current capability of the business to deliver, conduct build or buy analyses, and recommend preferred approach.</li><li>Develop an effective change strategy based on gap analyses and enterprise readiness assessment results, including transitions states and release plans.</li><li>Conduct gap analysis between current and future states to identify components of the overall change strategy.</li><li>Design, execute and report on systems/service tests to ensure that an application functions as specified in the requirements.</li><li>Interpret, contribute to, or lead business case creation with client departments to quantify current costs, justify project investment, and identify the return on investment.</li><li>Create reports, and review reports created by others, for various audiences as relevant, in a lucid and effective manner, keeping in mind the purpose of reports.</li><li>Review and evaluate recommendations and requirements and to develop appropriate plans or deliver actions required.</li><li>Develop and execute architectures, policies and practices in order to manage the information lifecycle needs of an organization.</li><li>Work directly with Architecture in developing an enterprise readiness assessment to determine the organization&#39;s readiness for change.</li><li>Adopt solutions to automate and manage multiple applications and functions within an organization.</li><li>Manage and administer various infrastructure components such as compute, storage, cloud, network, observability and tooling/automation.</li><li>Proficiently navigate and manage private and public cloud-based infrastructure, including virtual machines, networks, storage, and services.</li></ul><ul><li>Experience with Infrastructure Automation technologies, such as Ansible, Puppet, or Terraform</li><li>Scripting and/or programming experience with languages such as Bash, Powershell, or Python</li><li>Ability to delegate, providing resources clear and concise communication enabling the successful completion of tasks, including the ability to right clear success criteria or “definition of done”</li><li>Directly contribute to quarterly and yearly platform roadmapping exercises</li></ul>Preferred:<ul><li>Experience with CI/CD tooling</li><li>Experience with managing containerized infrastructure, such as Kubernetes, Docker, and Cloud Run</li><li>Experience designing and deploying cloud platforms</li><li>Experience in developing Enterprise standards supporting global workloads across private and public cloud providers</li><li>Experience with cloud cost management, utilizing reporting tools and planning tools, to ensure the effective use of resources and cost estimation activities with Application Development teams</li></ul>Education:  Master&#39;s Degree or Equivalent Level of ExperienceExperience:  Substantial general work experience together with comprehensive job-related experience in own area of expertise to fully competent level. (6 years to 12 years)Managerial Experience:  Experience of planning and managing resources to deliver predetermined objectives as specified by more senior managers (2 years to  5 years)O’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization. Total Compensation Package:<ul><li>Competitive Wages &amp; Paid Time Off</li><li>Stock Purchase Plan &amp; 401k with Employer Contributions Starting Day One</li><li>Medical, Dental, &amp; Vision Insurance with Optional Flexible Spending Account (FSA)</li><li>Team Member Health/Wellbeing Programs</li><li>Tuition Educational Assistance Programs</li><li>Opportunities for Career Growth</li></ul>O’Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: <a href="mailto:rar&#64;oreillyauto.com" target="_blank">rar&#64;oreillyauto.com</a> or call (800) 471-7431 option , and provide your requested accommodation, and position details.

Principal Platform Engineer (Google Cloud)

Principal Platform Engineer

GCP experience; infrastructure design; security; 6-12 years; master’s degree or equivalent.

POSITION SUMMARY:We are seeking an AI Engineer II to join our Information Technology team at our corporate office in Springfield, MO.  The AI Engineer II focuses on building and operationalizing AI solutions that align with the enterprise AI roadmap, enabling real-world applications of data intelligence and generative AI technologies.This position bridges business needs, data infrastructure, and applied AI development to deliver scalable, secure, and production-ready systems that integrate seamlessly with enterprise platforms and data ecosystems.This position requires working onsite in our Springfield, MO headquarters.ESSENTIAL FUNCTIONS:  <ul><li>Collaborate with stakeholders to identify AI-driven automation and insight opportunities and define success metrics/acceptance criteria.</li><li>Translate business needs into technical requirements and design end-to-end AI workflows, including data sourcing, orchestration, and integration points.</li><li>Ensure data readiness by assessing availability and quality across enterprise and third-party sources; partner with Data Engineering to design and validate pipelines that produce high-quality, AI-ready datasets with data contracts, lineage, and schema-drift detection.</li><li>Perform data preparation and transformation in SQL or Python when needed for AI workflows.</li><li>Conduct data quality assessments, establish validation rules, maintain data lineage and data contracts, and implement schema-drift detection with automated gates; coordinate with Data Engineers to resolve integrity or availability issues.</li><li>Design, develop, and deploy LLM-based, RAG, and generative AI solutions using modern ML/LLM frameworks and cloud AI services.</li><li>Contribute to and implement PromptOps: maintain a versioned library of prompt/assistant patterns (system, few-shot, tool use); help teams build and optimize assistants; ensure domain alignment, structured outputs, guardrails, and prompt-injection resilience; define change control and rollback; run A/B evaluations for groundedness, accuracy, and safety with release gates; optimize for cost and latency.</li><li>Build and operate agents and semi-autonomous workflows using established orchestration patterns, with auditable actions, step limits, feature flags/kill switches, and human-in-the-loop approvals for high-impact actions.</li><li>Implement model lifecycle management with experiment tracking, model registry, retraining, dataset/feature and embedding/vector-index versioning, and rollback; continuously monitor performance/reliability.</li><li>Integrate AI solutions via APIs and event-driven architectures using versioned, backward-compatible contracts with semantic versioning and a clear deprecation policy; include capacity planning and autoscaling for inference; conduct load and cost tests ahead of peak retail seasons.</li><li>Apply MLOps and LLMOps best practices for scalable, observable, and secure deployments (containerization, orchestration, CI/CD, and model lifecycle management).</li><li>Implement automated testing (unit, integration, contract) for AI pipelines and services.</li><li>Partner with Data Scientists to evaluate, integrate, and productionize models, transitioning prototypes into scalable, production-ready systems.</li><li>Ensure responsible AI governance: RBAC/IAM, secrets management, PII minimization/redaction, applicable payment-card and consumer-privacy regulations, data residency/retention, audit logging, bias detection, explainability, and compliance with governance and privacy standards.</li><li>Research and evaluate emerging AI technologies such as agentic AI, multimodal models, and vector databases to enhance enterprise capabilities.</li><li>Contribute to AI standards, documentation, and best practices to ensure long-term scalability and maintainability.</li><li>Implement observability (tracing, runtime telemetry, token/cost monitoring, alerting, dashboards), define and meet SLOs/SLAs and cost budgets, enable safe rollback with runbooks; participate in an on-call rotation as needed.</li><li>ALL OTHER DUTIES AS ASSIGNED</li></ul>EXPERIENCE/QUALIFICATIONS:<ul><li>Minimum Degree Required:    Bachelor&#39;s Degree in Computer Science, Artificial Intelligence, Data Science, or related field (or equivalent experience).</li><li>3–5 years of hands-on experience in AI engineering, ML application development, or applied data engineering for AI workflows.</li><li>Proficiency in Python and relevant AI/ML frameworks.</li><li>Experience deploying LLM/RAG systems with enterprise data, including offline/online evaluation and guardrail/structured-output validation.</li><li>Familiarity with vector databases and semantic retrieval systems.</li><li>Solid understanding of SQL, data modeling, and data preparation for AI consumption.</li><li>Experience with major cloud platforms (AWS, Azure, GCP); familiarity with enterprise data platforms/warehouses (Snowflake).</li><li>Knowledge of API development and integration, and experience with containerization, orchestration, and CI/CD pipelines.</li><li>Understanding of AI governance, security, and responsible AI practices.</li></ul>KNOWLEDGE, SKILLS, AND ABILITY: <ul><li>Strong analytical and problem-solving skills with end-to-end ownership mindset.</li><li>Ability to translate complex AI concepts into clear, actionable business outcomes.</li><li>Excellent communication and collaboration skills across technical and business teams.</li><li>Proficiency with Git-based version control and collaborative development workflows.</li><li>Familiarity with Agile methodologies and iterative delivery models.</li><li>Understanding of AI feasibility, ROI, and value realization within enterprise environments.</li><li>Commitment to responsible and ethical AI development aligned with company standards.</li></ul>TRAVEL REQUIREMENTS:<ul><li>N/A</li></ul>PHYSICAL REQUIREMENTS:Regularly sits and does computer work.Occasionally stands and walks.Seldom/never lifts up to 50 lbs.INDEPENDENT JUDGEMENT:Performs duties within scope of general company policies, procedures, and objectives. Analyzes problems and performs needs assessments. Uses judgment in adapting broad guidelines to achieve desired result. Regular exercise of independent judgment within accepted practices. Makes recommendations that affect policies, procedures, and practices.Full Time Benefits Summary: Enjoy discounts on retail merchandise, our restaurants, world-class resorts and conservation attractions!<ul><li>Medical</li><li>Dental</li><li>Vision</li><li>Health Savings Account</li><li>Flexible Spending Account</li><li>Voluntary benefits</li><li>401k Retirement Savings</li><li>Paid holidays</li><li>Paid vacation</li><li>Paid sick time</li><li>Bass Pro Cares Fund</li><li>And more!</li></ul>Bass Pro Shops is an equal opportunity employer.  Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.Reasonable AccommodationsQualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. If you need a reasonable accommodation for any part of the application process, please visit your nearest location or contact us at hrcompliance&#64;basspro.com.Bass Pro Shops

AI Engineer II - Onsite, Springfield, MO

AI Engineer II

3–5 years AI engineering, Bachelor's in CS/AI/Data Science, Python & ML frameworks, deploy LLM/RAG, vector databases, cloud platforms, API/CI/CD, responsible AI.

Python Cloud Platform Developer Jobs in Kissee Mills, MO, US | HiringCafe: every job on earth

Python Cloud Platform Developer Jobs in Kissee Mills, MO, US

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