Explore 3 python cloud platform developer jobs from 2 hiring companies in Montgomery City, MO, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-cloud-platform-developer

Python Cloud Platform Developer

Fulton

Mexico

Wentzville

Columbia

Troy

O'Fallon

Lake Saint Louis

Washington

Warrenton

Jefferson City

Saint Peters

Dardenne Prairie

Union

Vandalia

Bowling Green

Wellsville

Wright City

Hermann

Weldon Spring

Python Cloud Platform Developer Jobs

Mastercard

Nimble Solutions

Hybrid

Onsite

Our PurposeMastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and Summary<h3></h3>Lead Software Engineer (Azure Platform Engineering)<h3></h3>ABOUT MASTERCARD Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. At Mastercard, our industry expertise is enhanced by our commitment to being a force for good in the world. We do well by doing good. Our core values of trust, partnership, agility, and thoughtful risk taking are displayed in everything we do. Our culture of collaboration and inclusion makes our company the place where the best people choose to be. OVERVIEW On the Cloud Platform team, you will be working with Mastercard’s Azure Platform Engineering team. The team is responsible for developing the best of breed Azure Platform capabilities to application development teams such that automated cloud infrastructure can be provided to software engineering and operation teams. The Role • Implement solutions to manage Mastercard’s Azure infrastructure via code. • Engage and improve the lifecycle of the Azure platform and services -- from development to deployment, operation, and refinement. • Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. • Design and Develop scalable platform solutions • Practice sustainable incident response and blameless postmortem. All About You • Experience in the fields of Computer Science or Software Engineering. • Experience in Azure infrastructure provisioning through automation tools Terraform. • Experience programming in at least one of the following languages: Python, Java, Go, Bash, etc. • Experience using DevOps tools such as ADO, Jenkins, BitBucket, Artifactory, SonarQube, etc. • Having an understanding of best practices for Logging, Monitoring, and Alerting solutions. • Experience with software deployment and configuration automation • Bachelor's degree in Computer Science, or a related technical field involving programming • Expertise in designing, analyzing, and troubleshooting large-scale systems. • Ability to debug, optimize code, and automate routine tasks. • Systematic problem-solving approach, with effective communication skills and a sense of drive. • Understanding of Windows/Linux operating systems. • Implement solutions to manage Mastercard’s Azure infrastructure via code. • Engage and improve the lifecycle of the Azure platform and services - from development to deployment, operation, and refinement. • Design, develop, and implement software systems and applications on Azure platform. • Establish and ensure adherence to Azure cloud best practices and standards. • Troubleshoot issues and provide solutions to complex problems. • Stay updated with the latest Azure updates, features, and capabilities. • Contribute to design, architecture, process, and development discussions. • Assist in the deployment, scaling, and performance tuning of applications on Azure.<h3></h3>Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.<h3></h3>Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul><h3></h3>In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.Pay RangesO'Fallon, Missouri: $140,000 - $231,000 USD<h3></h3><h3></h3><h3></h3><h3></h3>

Lead Software Engineer (Azure Platform Engineering)

Lead Software Engineer

Azure platform engineering, Terraform automation, Python/Java/Go, DevOps tools, cloud best practices, scalable system design.

Our PurposeMastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and Summary<h3></h3>Senior Principal Software Engineer<h3></h3>Overview: Mastercard’s AI &amp; Data Platform Engineering team is seeking a Senior Principal Engineer to provide technology leadership and strategic influence across enterprise-scale initiatives for the next generation Decision Management Platform. With deep architectural expertise and ability to collaborate across the organization, you will have the ability to drive innovation and engineering excellence. Key areas of focus include leveraging disruptive technologies in the real time AI inferencing and decisioning domain to improve product effectiveness, increase business agility, increase technical resilience and scalability, and lower cost of ownership. You will work closely with the technology executive, senior leaders and engineers to play an important pivotal role in shaping the overall AI &amp; DPE technology strategy for the wider AI &amp; DPE team. This role is open to candidates based at any Mastercard U.S. location, with an expectation of three days per week onsite. Travel is required approximately 20% of the time, including domestic travel within the U.S. and occasional international travel to Dublin, Ireland. Role: Enterprise Architecture &amp; Technical Leadership •	Lead architectural design for complex, enterprise-wide initiatives spanning multiple services and programs. •	Define and evolve service interactions, dependency models, and policies to ensure scalability, security, and resilience. •	Partner with business and product leaders to architect and deliver new services that enable innovative products and bundles. Customer Experience &amp; Platform Strategy •	Own and improve the end-to-end customer experience across a portfolio of services and applications. •	Simplify and optimize architecture strategies to balance cost, performance, and business value. •	Apply judgment and experience to make trade-offs between competing priorities and technical constraints. Thought Leadership &amp; Influence •	Drive organization-wide initiatives to advance software engineering craftsmanship and best practices. •	Represent the organization through public speaking engagements, technical blogs, and white papers on emerging technologies. •	Participate in Principal-level architecture reviews and resolve enterprise-wide technical and regulatory challenges. Collaboration &amp; Knowledge Sharing •	Consult across teams and organizational boundaries to identify synergies, reuse opportunities, and eliminate silos. •	Mentor engineers at all levels, fostering technical growth and leadership. •	Promote knowledge sharing within guilds and programs to accelerate innovation and productivity. Talent &amp; Culture •	Conduct technical interviews to raise the performance bar and attract top talent. •	Champion behaviors that align with organizational values and drive a culture of excellence. All About You: •	Prior experience in senior technical leadership roles such as Senior Engineer, Lead Engineer, Principal Engineer, or Enterprise Architect within large-scale technology organizations, with a strong focus on platform engineering and enterprise architecture. •	Experience designing and delivering large-scale, cloud-native platforms supporting high availability, scalability, and performance requirements. •	Deep expertise in distributed systems, microservices architectures, and event-driven systems. •	Experience building and supporting real-time, data-driven platforms, including AI/ML inferencing and decisioning systems. •	Strong background in cloud platforms (AWS, Azure, or GCP) and hybrid architecture environments. •	Experience designing APIs, integration patterns, and enterprise-scale service orchestration solutions. •	Hands-on experience with data platforms, streaming systems, and large-scale data pipelines. •	Exposure to AI/ML platforms, MLOps practices, and model deployment and lifecycle management in enterprise environments. •	Experience defining and driving enterprise architecture standards, governance frameworks, and engineering best practices. •	Strong experience evaluating architecture trade-offs across scalability, performance, cost, and business priorities. •	Strong programming experience in a modern language such as Java, Go, or Python. •	Track record of mentoring engineers and elevating engineering maturity across teams and organizations. •	Strong communication skills with experience presenting complex technical solutions to executive, technical, and non-technical audiences. •	Proven track record of driving consensus and alignment in large, matrixed organizations. •	Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience.<h3></h3>Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.<h3></h3>Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul><h3></h3>In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.Pay RangesNew York City, New York: $254,000 - $407,000 USD<h3></h3>Arlington, Virginia: $244,000 - $390,000 USD<h3></h3>Atlanta, Georgia: $212,000 - $339,000 USD<h3></h3>Boston, Massachusetts: $244,000 - $390,000 USD<h3></h3>Miami, Florida: $212,000 - $339,000 USD<h3></h3>O'Fallon, Missouri: $212,000 - $339,000 USD<h3></h3>San Francisco, California: $254,000 - $407,000 USD<h3></h3><h3></h3><h3></h3>

Senior Principal Software Engineer

Senior technical leadership; cloud-native platforms; distributed systems; real-time AI/ML inference; API design; data pipelines; MLOps; strong communication.

Description Data EngineerChesterfield Office Hybrid or Remote Why You'll Want to Join!&nbsp; Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake. Position Overview Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data—claims, EMR/EHR, HL7/FHIR—into actionable insights that drive revenue cycle optimization and clinical outcomes. Why This Role Matters Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data. Key Responsibilities • Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake• Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards• Write and optimize SQL queries for performance across large healthcare datasets• Implement data governance, quality frameworks, and HIPAA compliance controls• Collaborate with analytics, data science, and business teams to define data requirements• Monitor and troubleshoot data pipeline health and performance• Develop Python or Scala code for complex transformations and data processing• Support Power BI and analytics teams with data modeling and performance optimization• Document data lineage, transformations, and technical architectureRequirements • 3+ years of professional data engineering or ETL/ELT development experience• Expert-level SQL skills with proven optimization experience• Proficiency in Python, Scala, or similar data processing languages• Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)• Understanding of healthcare data standards (HL7, FHIR, claims data structures)• Strong grasp of data modeling, normalization, and schema design• Experience with data versioning, CI/CD pipelines, and data quality frameworks Preferred Qualifications • Experience with Microsoft Fabric or Azure Data Factory• Knowledge of HIPAA compliance and healthcare data security• Background in healthcare, RCM, or claims processing• Experience with dbt (data build tool) or equivalent transformation frameworks• Exposure to dimensional modeling and data warehousing best practices What Success Looks Like • In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics• In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components• Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance

Data Engineer

3+ years data engineering/ETL, SQL expert, Python/Scala, cloud platforms (Azure Synapse, Snowflake, Databricks), healthcare data standards HL7/FHIR, HIPAA compliance.

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Python Cloud Platform Developer Jobs in Montgomery City, MO, US

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