Explore 3 python cloud platform developer jobs from 3 hiring companies in Osborne, KS, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-cloud-platform-developer

Python Cloud Platform Developer

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Python Cloud Platform Developer Jobs

CorVel

JPMorgan Chase

Oracle

Hybrid

Onsite

241387-COMP & BEN ADMIN PROF FEES

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank's Digital and Platform Services team, you&nbsp;are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
<ul>
 <li>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li>
 <li>Develops secure high-quality production code, and reviews and debugs code written by others</li>
 <li>Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li>
 <li>Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li>
 <li>Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li>
 <li>Adds to team culture of diversity, opportunity, inclusion, and respect</li>
</ul>
&nbsp;
Required qualifications, capabilities, and skills
<ul>
 <li>Formal training or certification on software engineering concepts and 5&amp;#43; years applied experience</li>
 <li>Hands-on practical experience delivering system design, application development, testing, and operational stability</li>
 <li>Advanced in one or more programming languages such as Java, Scala, Python</li>
 <li>Proficiency in automation and continuous delivery methods</li>
 <li>Proficient in all aspects of the Software Development Life Cycle</li>
 <li>Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li>
 <li>Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li>
 <li>Experience with AI and ML techniques, including NLP techniques, working with LLMs, Generative AI, and coding assistants is required&nbsp;</li>
 <li>Experience with messaging and streaming platforms, including AMQP, Kafka, Confluent Kafka, AWS MSK, Kinesis, Flink, Spark, etc is needed</li>
</ul>
&nbsp;
<div>
 Preferred qualifications, capabilities, and skills
</div>
<ul>
 <li>Experience with data engineering solutions using AWS or Azure&nbsp;</li>
 <li>Practical cloud-native experience; AWS Certifications (Solution Architect Associate or Professional) would be advantageous</li>
 <li>Understanding of data stores for structured and unstructured data viz. data warehouses, lakes, lake houses</li>
</ul><h3>About Company</h3><div>J.P. Morgan’s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.&nbsp;</div><h2>Company</h2><div><div>
 <div>
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 </div>
 <div>
 
 We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.&nbsp;
 <div>
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our&nbsp;<a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" target="_blank" rel="nofollow">FAQs</a>&nbsp;for more information about requesting an accommodation.
 JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans
 </div>
 </div>
</div></div>

Lead Software Engineer - Java / Python / AI/ML

Lead Software Engineer

Lead software engineer with 5+ years of experience; proficient in Java, Scala, Python; strong in AI/ML, NLP, cloud, CI/CD, security, SDLC; experience with messaging/streaming platforms.

Join our Health Applications team to build the next generation of cloud-native EHR platforms. This is a hands-on, high-impact role where you will shape both technical architecture and product direction from the ground up.
You’ll operate at the intersection of distributed systems, cloud infrastructure, and applied AI—designing intelligent, scalable, and resilient healthcare solutions that directly impact clinical outcomes.<h3>Responsibilities</h3><div>What You’ll Do<ul style="list-style-type: disc;"><li>Architect and build cloud-native EHR platforms using microservices and Kubernetes.</li><li>Design and deliver AI-driven automation and AIOps systems.</li><li>Lead end-to-end system design for scalability, reliability, and observability.</li><li>Stay hands-on with coding, debugging, and production delivery.</li><li>Drive engineering excellence through code reviews and best practices.</li><li>Mentor engineers and elevate team capability.</li><li>Partner cross-functionally to influence product and technical strategy.</li></ul>&nbsp;Customer Impact &amp; Technical Escalation<ul style="list-style-type: disc;"><li>Serve as escalation point for complex customer issues beyond Tier 1/2.</li><li>Lead root cause analysis of critical incidents.</li><li>Collaborate across teams to resolve and prevent issues.</li><li>Provide implementation guidance for EHR deployments.</li></ul>&nbsp;Systems, Integration &amp; Operational Excellence<ul style="list-style-type: disc;"><li>Design solutions for EHR integrations and ecosystem connectivity.</li><li>Identify risks and implement mitigation strategies.</li><li>Develop SOPs and operational automation.</li><li>Maintain knowledge bases and runbooks.</li><li>Work in Agile, continuous delivery environments.</li><li>Participate in 24x7 on-call rotation.</li></ul>&nbsp;What You Bring<ul style="list-style-type: disc;"><li>7+ years building distributed systems.</li><li>Strong Java plus Python/Shell scripting.</li><li>Microservices and Kubernetes expertise.</li><li>Cloud experience (OCI, AWS, Azure, or GCP).</li><li>AI/ML or AIOps production experience.</li><li>Solution design for complex systems.</li><li>REST APIs, JSON/XML knowledge.</li><li>SQL and secure data handling.</li><li>Code reviews and mentoring experience.</li><li>Customer-facing troubleshooting experience.</li></ul>&nbsp;Nice to Have<ul style="list-style-type: disc;"><li>EHR or healthcare platform experience.</li><li>HL7/FHIR familiarity.</li><li>Oracle Health / New Millennium exposure.</li><li>Oracle DB experience.</li><li>Kubernetes experience.</li></ul>&nbsp;Why This Role<ul style="list-style-type: disc;"><li>Build greenfield healthcare systems.</li><li>Own architecture and product direction.</li><li>Work on applied AI in production.</li><li>High-autonomy, high-impact environment.</li></ul></div><h3>Qualifications</h3><div>Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 years of software engineering or related experience.</div><h2>Company</h2><div>Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" target="_blank" rel="nofollow">accommodation-request_mb@oracle.com</a> or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.</div>

Principal Software Engineer – AI & Cloud (Healthcare / EHR Platforms)

Principal Software Engineer

7+ years building distributed systems; strong Java and Python; microservices and Kubernetes; cloud experience (OCI/AWS/Azure/GCP); AI/ML or AIOps production; REST APIs; SQL; code reviews and mentoring; customer-facing troubleshooting.

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production ready solutions by translating complex business problems into data-driven approaches and model-based outputs.
Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real world use cases. The role includes hands on model development, feature engineering, and integration into production systems within cloud environments.
The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred.
Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting.
This position is open to remote or hybrid.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES:
<ul>
<li>Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies</li>
<li>Creating new, experimental frameworks to collect data</li>
<li>Building tools to automate data collection</li>
<li>Develop custom data models and algorithms to apply to data sets</li>
<li>Design, build, train, and deploy machine learning models and data products for enterprise use</li>
<li>Translate business and operational needs into scalable data science solutions and modeling approaches</li>
<li>Perform feature engineering, data preparation, and exploratory analysis to support model development</li>
<li>Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)</li>
<li>Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems</li>
<li>Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate</li>
<li>Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services</li>
<li>Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms</li>
<li>Perform model validation, testing, and documentation to ensure quality and reproducibility</li>
<li>Contribute to technical design discussions and provide input on architecture and implementation strategies</li>
<li>Work within the full software development lifecycle (SDLC), including version control, testing, and release processes</li>
<li>Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders</li>
<li>Develop A/B testing framework and test model quality</li>
<li>Passion for technology and emerging AI/ML trends</li>
<li>Additional duties as assigned</li>
</ul>
 
KNOWLEDGE & SKILLS:
<ul>
<li>Strong problem-solving skills with an emphasis on product development.</li>
<li>Strong foundation in machine learning, statistical modeling, and data science techniques</li>
<li>Experience building and deploying machine learning models in production environments</li>
<li>Familiarity with modern AI approaches, including:
<ul>
<li>Natural language processing (NLP)</li>
<li>Large language models (LLMs)</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Feature engineering and model evaluation techniques</li>
</ul>
</li>
<li>Experience working with cloud platforms such as Azure, AWS, or similar ecosystems</li>
<li>Familiarity with data pipelines, APIs, and integration patterns</li>
<li>Proficiency in programming languages such as Python and database management including SQL</li>
<li>Strong problem-solving skills with the ability to structure complex problems into analytical solutions</li>
<li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications</li>
<li>Excellent presentation and written/verbal communication skills</li>
</ul>
 
EDUCATION & EXPERIENCE:
<ul>
<li>Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master’s preferred</li>
<li>2–5+ years of experience in data science, machine learning, or related roles</li>
<li>Experience developing and deploying machine learning models in production environments</li>
<li>Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar</li>
<li>Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred</li>
<li>Experience working within enterprise software environments and SDLC practices preferred</li>
</ul>
 
PAY RANGE:
CorVel uses a market based approach to pay and our salary ranges may vary depending on your location.  Pay rates are established taking into account the following factors:  federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions.  Our ranges may be modified at any time.
For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role.  The level may impact the salary range and these adjustments would be clarified during the offer process.
Pay Range:  $82,574 – $127,490
A list of our benefit offerings can be found on our CorVel website: <a href="https://www.corvel.com/company/careers/" target="_blank" rel="noopener">CorVel Careers | Opportunities in Risk Management</a>
In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.
 
<a href="https://www.corvel.com/" target="_blank" rel="noopener">About CorVel</a>
CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries.   CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients.  We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities.  Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).
A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.
CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
#LI-Remote

Data Scientist II

2–5+ years of data science experience; Bachelor's in CS/DS/Engineering/Math; production ML deployment; cloud platforms (Azure/AWS); Python and SQL; strong communication.

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