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

python-cloud-platform-developer

Python Cloud Platform Developer

Mount Vernon

Benton

Herrin

Marion

Carbondale

West Frankfort

Du Quoin

Centralia

Christopher

Pinckneyville

Murphysboro

Carterville

Harrisburg

Chester

Salem

Johnston City

Mascoutah

Zeigler

Python Cloud Platform Developer Jobs

Agile Defense

JPMorgan Chase

Hybrid

Onsite

<div style="box-sizing: border-box; font-style: normal; font-weight: 400; margin: 0px; padding: 0px; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial;"><div style="border-radius: 4px; border: 0px none rgba(22, 21, 19, 0.5); box-sizing: border-box; padding: 0px calc(0.1px) 0px 0px; transition: border-color 0.1s linear;"><div><div><div style="padding: 0px 0.5rem;"><div style="border-radius: 2px; border-width: 0px; padding: 0px 0.5rem;"><div style="box-sizing: border-box; font-style: normal; font-weight: 400; margin: 0px; padding: 0px; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial;"><div style="border-radius: 4px; border: 0px none rgba(22, 21, 19, 0.5); box-sizing: border-box; padding: 0px calc(0.1px) 0px 0px; transition: border-color 0.1s linear;"><div style="border-image: none 0 / 0 / 0 round; border-style: solid; padding: 0.188rem;"><div style="padding: 0px 0.5rem;"><div style="border-radius: 2px; border-width: 0px; padding: 0px 0.5rem;"><p style="margin-left: 0px;">We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p style="margin-left: 0px;">As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, specifically as a part of the Infrastructure Platforms team, you will play a crucial role in an agile team committed to enhancing, creating, and delivering high-quality technology products in a secure, stable, and scalable manner. Your role as a vital technical contributor will involve developing critical technology solutions across numerous technical domains within various business functions, all aimed at supporting the firm's business goals.</p><p style="margin-left: 0px;"><strong>Job Responsibilities:</strong></p><ul><li>Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to build solutions or resolve technical problems.</li><li>Develop secure, high-quality production code, and review and debug code written by others.</li><li>Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems.</li><li>Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented assessments of architectural designs, technical credentials, and their applicability within existing systems and information architecture.</li><li>Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies.</li><li>Contribute to a team culture of diversity, equity, inclusion, and respect.</li><li>Develop and deploy cloud infrastructure platforms that are secure, scalable, and optimized for AI and machine learning workloads.</li><li>Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.</li><li>Monitor, manage, and optimize cloud resources to maximize performance and minimize costs.</li><li>Design and implement continuous integration and delivery pipelines for machine learning workloads.</li><li>Develop automation scripts and infrastructure as code to streamline deployment and management tasks.</li></ul><p style="margin-left: 0px;"><strong>Required Qualifications, Capabilities, and Skills:</strong></p><ul><li>Formal training or certification in software engineering concepts with 5+ years of applied experience.</li><li>Hands-on practical experience in delivering system design, application development, testing, and ensuring operational stability.</li><li><span style="font-size: 12pt;">Proficiency in at least one programming language, such as Python, Go, Java, or C#.</span></li><li>Proficiency in automation and continuous delivery methods.</li><li>Proficient in all aspects of the Software Development Life Cycle.</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>Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.</li><li>Experience in solutions design and engineering, containerization (Docker, Kubernetes), and cloud service providers (AWS, Azure, GCP).</li><li>Experience with Infrastructure as Code.</li><li>Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security, and routing/switching technologies.</li></ul><div><strong>Preferred qualifications, capabilities, and skills</strong></div><ul style="list-style-type: disc;"><li style="background-color: white; color: black;"><span style="font-size: 12pt;">Foundational understanding of NVIDIA GPU infrastructure software (e.g., DCGM, BCM, Triton Inference).</span></li><li style="background-color: white; color: black;"><span style="font-size: 12pt;">Hands-on experience with machine learning frameworks such as PyTorch and TensorBoard.</span></li><li style="background-color: white; color: black;"><span style="font-size: 12pt;">Proficiency with observability tools like Prometheus and Grafana.</span></li><li style="background-color: white; color: black;"><span style="font-size: 12pt;">Experience in ML Ops and related tooling, including MLflow.</span></li><li style="background-color: white; color: black;"><span style="font-size: 12pt;">Background in high performance computing and ML frameworks (e.g., vLLM, Ray.io, Slurm).</span></li><li style="background-color: white; color: black;"><span style="font-size: 12pt;">Strong knowledge of network architecture, database programming (SQL/NoSQL), and data modeling.</span></li><li style="background-color: white; color: black;"><span style="font-size: 12pt;">Familiarity with cloud data services, big data processing tools, and Linux environments (scripting and administration).</span></li></ul><p>&nbsp;</p><p style="font-family: Verdana; font-size: 10pt; margin: 0in;"><strong>FEDERAL DEPOSIT INSURANCE ACT:</strong></p><p style="font-family: Verdana; font-size: 10pt; margin: 0in;">This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries.</p><p style="font-family: Verdana; font-size: 10pt; margin: 0in;">&nbsp;</p></div></div></div></div></div></div></div></div></div></div></div><h3>About Company</h3><div>Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.</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>
  <p></p>
  <p>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;</p>
  <div>
   <p>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.</p>
   <p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p>
  </div>
 </div>
</div></div>

Lead Software Engineer-AI Platform Engineer

Lead Software Engineer

5+ years software engineering; production code; cloud, AI/ML; Python/Go/Java/C#; automation; SDLC; IaC; collaboration.

<div><span style="font-size: 16px">At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</span></div><div><br></div><div><span style="font-size: 16px">Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.</span></div><div><br></div><div>Requisition #: 1456 </div><div>Job Tittle: Data Engineer</div><div>Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL </div><div>Clearance: Active DoD Top Secret (or ability to obtain) </div><div>Citizenship: U.S. Citizenship required</div><div><br></div><div>Role Summary</div><div><br></div><div>Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.</div><div>You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.</div><div>This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.</div><div><br></div><div>Key Objectives</div><div><br></div><div>Objective 1: Design and Maintain Scalable Data Science Services</div><div>· Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.</div><div>· Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing standards.</div><div>· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.</div><div>· Ensure services meet performance, reliability, and security requirements consistent with DoD enterprise and cloud-native architecture.</div><div><br></div><div>Objective 2: Build and Operationalize AI/ML Solutions</div><div>· Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.</div><div>· Select and implement appropriate modeling techniques using Python, Spark, or cloud-native ML frameworks (e.g., SageMaker, MLflow).</div><div>· Maintain reproducibility and interpretability of model outputs to meet mission transparency and audit requirements.</div><div>· Package model inference services with well-documented APIs for integration into end-user applications and operational dashboards.</div><div><br></div><div>Objective 3: Perform Exploratory Data Analysis and Communicate Insights</div><div>· Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.</div><div>· Develop data visualizations and interpretive summaries that support stakeholder understanding and product team decision-making.</div><div>· Translate analytical findings into actionable recommendations using a mix of visual, narrative, and quantitative communication strategies.</div><div>· Contribute to the team’s shared library of analysis templates, reusable queries, and analytic workflows to accelerate future delivery.</div><div><br></div><div>Objective 4: Collaborate Across Teams to Deliver Mission Impact</div><div>· Engage with product managers and mission users to define data and model requirements aligned with operational goals.</div><div>· Work closely with engineers to ensure data science components align with technical constraints and deployment patterns.</div><div>· Participate in agile sprint planning, retrospectives, and demos, sharing progress and adjusting priorities based on feedback.</div><div>· Maintain strong documentation practices that enable handoff, reproducibility, and technical accountability.</div><div><br></div><div>Minimum Qualifications</div><div><br></div><div>· A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience</div><div><br></div><div>Preferred Skills and Experience</div><div><br></div><div>· 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.</div><div>· Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).</div><div>· Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).</div><div>· Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).</div><div>· Strong understanding of data validation, model testing, and performance evaluation techniques.</div><div>· Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.</div><div>· Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.</div><br/><br/>Requisition #: 1456 
Job Tittle: Data Engineer
Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL 
Clearance: Active DoD Top Secret (or ability to obtain) 
Citizenship: U.S. Citizenship required

Role Summary

Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.

Key Objectives

Objective 1: Design and Maintain Scalable Data Science Services
· Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.
· Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing standards.
· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.
· Ensure services meet performance, reliability, and security requirements consistent with DoD enterprise and cloud-native architecture.

Objective 2: Build and Operationalize AI/ML Solutions
· Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.
· Select and implement appropriate modeling techniques using Python, Spark, or cloud-native ML frameworks (e.g., SageMaker, MLflow).
· Maintain reproducibility and interpretability of model outputs to meet mission transparency and audit requirements.
· Package model inference services with well-documented APIs for integration into end-user applications and operational dashboards.

Objective 3: Perform Exploratory Data Analysis and Communicate Insights
· Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.
· Develop data visualizations and interpretive summaries that support stakeholder understanding and product team decision-making.
· Translate analytical findings into actionable recommendations using a mix of visual, narrative, and quantitative communication strategies.
· Contribute to the team’s shared library of analysis templates, reusable queries, and analytic workflows to accelerate future delivery.

Objective 4: Collaborate Across Teams to Deliver Mission Impact
· Engage with product managers and mission users to define data and model requirements aligned with operational goals.
· Work closely with engineers to ensure data science components align with technical constraints and deployment patterns.
· Participate in agile sprint planning, retrospectives, and demos, sharing progress and adjusting priorities based on feedback.
· Maintain strong documentation practices that enable handoff, reproducibility, and technical accountability.

Minimum Qualifications

· A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience

Preferred Skills and Experience

· 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
· Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
· Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
· Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
· Strong understanding of data validation, model testing, and performance evaluation techniques.
· Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
· Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
<br/><br/><div><span style="font-size: 16px">Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.&nbsp;</span></div><div><br></div><div><span style="font-size: 16px">What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</span></div><div><br></div><div><span style="font-size: 16px">We also believe in supporting our employees by offering a competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section.</span></div><div><br></div><div><b style="font-size: 16px">Happy&nbsp;</b><span style="font-size: 16px">- </span><u style="font-size: 16px">Be Infectious.</u></div><div><span style="font-size: 16px">Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</span></div><div><br></div><div><b style="font-size: 16px">Helpful</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Supportive.</u></div><div><span style="font-size: 16px">Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</span></div><div><br></div><div><b style="font-size: 16px">Honest</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Trustworthy.</u></div><div><span style="font-size: 16px">Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</span></div><div><br></div><div><b style="font-size: 16px">Humble</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Grounded.</u></div><div><span style="font-size: 16px">Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</span></div><div><br></div><div><b style="font-size: 16px">Hungry&nbsp;</b><span style="font-size: 16px">- </span><u style="font-size: 16px">Be Eager.</u></div><div><span style="font-size: 16px">Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</span></div><div><br></div><div><b style="font-size: 16px">Hustle</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Driven.</u></div><div><span style="font-size: 16px">Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</span></div><div><br></div><div><b style="font-size: 16px">Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></div>

Data Engineer

3+ years in data science, data engineering, or related field; strong Python, SQL, Spark, and ML tooling; experience with cloud data platforms; ability to work in DoD environment.

Python Cloud Platform Developer Jobs in Sesser, IL, US | HiringCafe: every job on earth

Python Cloud Platform Developer Jobs in Sesser, IL, US

Python Cloud Platform Developer Jobs market signals in Sesser, IL, US

Companies appearing in this market

Work location mix in visible results