Explore 5 python aws developer jobs from 4 hiring companies in Marion, KS, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Aws Developer Jobs

Syms Strategic Group

Applied Information Sciences

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Appliedis

<h1>Why AIS?</h1><h3></h3>When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.<ul><li>Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.</li><li>Continuous Learning: Access to resources, training, and mentorship to support your professional growth.</li><li>Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.</li><li>Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.</li></ul> <h1>What are we looking for?</h1><h3></h3>At AIS, we&#39;re looking for more than just skills - we&#39;re looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles. <h1>Working&#64;AIS </h1>At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Lead QA Engineer.&amp;#xa;<ul><li>Core Knowledge &amp; Skills: Develops strategic test plans, risk-based testing, advanced automation, compliance audits, and innovative testing solutions.</li><li>Work &amp; Complexity: Leads complex projects, creates test strategies, performs risk assessments, and mentors team members.</li><li>Quality &amp; Independence: Optimizes processes, defines quality metrics, ensures stakeholder satisfaction, and makes high-level decisions.</li><li>Teamwork &amp; Communication: Leads and mentors teams, aligns efforts with organizational goals, manages performance, and collaborates with stakeholders.</li><li>Consulting &amp; Engagement: Provides strategic guidance, consults on automation strategies, advises on metrics, and communicates with senior stakeholders.</li></ul>&amp;#xa;As your initial project assignment, you will support the unique needs of our client as a AWS Team Test Automation Engineer.&amp;#xa;&amp;#xa;<h1>Project Summary</h1>AIS is supporting federal customer with a program focused on architecture and infrastructure. <h1>Key Responsibilities</h1><ul><li>Performs activities related to cloud systems verification and validation - functional test, timeline analysis, detail trade studies, requirements allocation and interface definition studies for hardware and software specifications.</li><li>Utilize trends and metrics to identify opportunities for improvements within existing frameworks, tools and processes.</li><li>Responsible for systems functionality, performance, and configurations issues.</li></ul><h1>Required For This Opportunity</h1><ul><li>Bachelors degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).</li><li>8&#43; years of relevant experience supporting enterprise cloud and/or infrastructure environments.</li><li>Certifications: IAT-2, 1 or more cloud certifications.</li><li>Active Secret clearance (or higher).</li><li>Experience working in regulated environments and following secure engineering / documentation practices.</li></ul><h1>Nice to Have Skills</h1><ul><li>Experience supporting DoD/IC programs and mission systems.</li></ul>&amp;#xa;&amp;#xa;At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.&amp;#xa;&amp;#xa;The targeted base salary range for this role is $116,000-$175,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.&amp;#xa;&amp;#xa;We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.&amp;#xa;&amp;#xa;Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

AWS Team Test Automation Engineer

Automation Engineer

8+ years of experience in enterprise cloud/infrastructure, DoD/IC experience preferred, IAT-2 and cloud certifications, active Secret clearance.

Job Purpose/Summary 
 
The MLOps Engineer designs, builds, and operates scalable machine learning systems that transform spatial-temporal and sensor-derived data into reliable ML workflows. This role spans the full ML lifecycle ingest, normalization, and feature engineering pipelines through distributed training and evaluation to low-latency inference and operational integration. 
  
Working across data infrastructure and deployment environments, the engineer operationalizes experimental models into reproducible, observable, and scalable systems. They ensure ML pipelines, containerized workloads, and CI/CD processes are robust, automated, and designed for real-world operational demands. 
  
In close collaboration with data scientists, geophysicists, and cross-functional engineering teams, this role translates research-grade algorithms into resilient services. As part of a fast-moving, government-funded technology business, the MLOps Engineer operates with high ownership in a low-ceremony, applied research environment, bringing structure, repeatability, and best practices to mission-driven sensor analytics systems. 
 
Duties and Responsibilities 
 
<ul>
<li>Design, build, and operate scalable ML and data pipelines for spatial-temporal and sensor-driven datasets. </li>
</ul>
<ul>
<li>Operationalize data science algorithms into reliable, distributed ML workflows covering feature extraction, training, evaluation, inference, and model lifecycle management. </li>
</ul>
<ul>
<li>Implement and maintain containerized ML workloads in cloud-native environments. </li>
</ul>
<ul>
<li>Integrate model outputs into downstream serving systems and analytical platforms to support web-based applications and operational decision-making. </li>
</ul>
<ul>
<li>Develop and maintain CI/CD pipelines for ML and data services. </li>
</ul>
<ul>
<li>Collaborate closely with data scientists to operationalize experimental models into reproducible, observable, and scalable production systems. </li>
</ul>
<ul>
<li>Take ownership of MLOps practices within an applied research team, bringing structure, repeatability, and best practices to evolving environments. </li>
</ul>
 
Qualifications 
 
Minimum: 
<ul>
<li>3+ years of experience in MLOps, ML Engineering, Data Engineering, or closely related roles building and running ML/data pipelines. </li>
</ul>
<ul>
<li>Strong Python data and ML stack experience, including tools such as Polars/Pandas, PyArrow, PySpark, NumPy/SciPy. </li>
</ul>
<ul>
<li>Experience integrating models built with frameworks such as PyTorch, TensorFlow, or Keras into scalable pipelines. </li>
</ul>
<ul>
<li>Demonstrated experience working with temporal data, ideally including sensor-derived signals. </li>
</ul>
<ul>
<li>Practical CI/CD experience for ML/data services using Git-based workflows. </li>
</ul>
<ul>
<li>Experience working in AWS or similar cloud environments.  </li>
</ul>
<ul>
<li>Experience running containerized ML or data workloads in Kubernetes. </li>
</ul>
<ul>
<li>Experience collaborating closely with data scientists to integrate algorithms. </li>
</ul>
<ul>
<li>Eligible to obtain a U.S. Security Clearance – U.S. Citizenship required. </li>
</ul>
Preferred: 
<ul>
<li>Direct hands-on experience with sensor datasets such as seismographic data, cellular sensor modalities, RF survey data, or GPS devices. </li>
</ul>
<ul>
<li>Experience deploying and scaling ML workloads in Kubernetes using KEDA or alternative event-driven autoscaling approaches. </li>
</ul>
<ul>
<li>Experience building event-driven or streaming pipelines e.g. Kafka, Spark, Flink, or Sedona feeding lakehouse-style open table formats e.g. Iceberg or Delta. </li>
</ul>
<ul>
<li>Experience with SQL query engines e.g. Trino, DuckDB, or Athena </li>
</ul>
<ul>
<li>Experience selecting and operating orchestration frameworks such as Airflow, Dask, Ray, or Spark for scalable ML workloads. </li>
</ul>
<ul>
<li>Strong PostgreSQL experience, ideally with TimescaleDB and/or PostGIS, integrating ML outputs into operational databases. </li>
</ul>
<ul>
<li>DevOps experience with Helm and GitOps tooling. </li>
</ul>
<ul>
<li>Background in defense, cybersecurity, space, or other mission-driven sensor analytics environments. </li>
</ul>
 
Working conditions 
 
<ul>
<li>Employees may be called upon to participate in in-person meetings, trainings, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position. </li>
</ul>
 
Physical requirements 
 
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools. 
 
Direct reports 
 
None

MLOps Engineer

3+ years in MLOps/ML/data engineering; Python stack; PyTorch/TensorFlow/Keras; AWS; Kubernetes; CI/CD; sensor data; eligible for U.S. security clearance.

<div class="content-intro">Built's Mission:&nbsp;Connect and simplify doing business in real estate. Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges.&nbsp;Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at&nbsp;<a href="http://getbuilt.com">getbuilt.com.</a> __________________________</div>We’re seeking a Staff DevOps Engineer to join our Cloud Platform Team — the engineer who sets the technical direction for how Built’s infrastructure is designed, operated, and evolved. This is the most senior individual contributor role on the platform team, and it goes well beyond day-to-day operations. You’ll architect the systems that every engineering team at Built depends on, define the standards that others work within, and drive the platform roadmap with full autonomy. By raising the reliability and velocity of our infrastructure, you directly enable Built’s mission of radically disrupting construction finance.
Our Guiding Principles
<ul>
<li>Be Bold. We pursue the biggest problems in our industry, challenge assumptions others take for granted, and take calculated risks to get there. We don’t hide behind consensus or committees. Playing it safe is just failing slowly.</li>
<li>Help Customers Win. We learn our customers’ businesses deeply — how they think, how they deploy capital, what keeps them up at night. We treat their capital like our own. We ship leverage, not features. And we measure ourselves by customer results, not our intentions.</li>
<li>Move with Urgency &amp; Purpose. We bias toward delivery over perfection, remove friction from our own paths, and communicate in real time. Momentum compounds — and we build it every day.</li>
<li>Own the Outcome. We own outcomes, not just tasks. We hold a high Say:Do ratio and take responsibility from idea through impact. When something breaks, we fix it — we don’t wait to be asked.</li>
<li>Never Satisfied. We raise the bar continuously. We stay curious, hold exacting standards, debate hard, and hold our opinions loosely when the evidence shifts. Excellence is a habit, not an event.</li>
</ul>
What You’ll Do
<ul>
<li>Architect and own Built’s core cloud infrastructure on AWS — defining the patterns, standards, and systems that all engineering teams build on, from EKS/ECS cluster design to VPC topology to IAM governance.</li>
<li>Lead platform modernization — driving the migration and simplification of our software delivery lifecycle, rationalizing tooling, and building the infrastructure foundation for Built’s AI-related product initiatives.</li>
<li>Own SLOs and SLIs for the platform — define them, instrument them in your observability stack, and lead the team in meeting reliability targets consistently across all environments.</li>
<li>Define DevOps engineering standards across the team — IaC patterns, CI/CD architecture, container orchestration standards, and observability frameworks.</li>
<li>Drive the platform roadmap in partnership with engineering leadership — balancing foundational investment with immediate delivery needs and communicating trade-offs clearly to technical and non-technical stakeholders.</li>
<li>Lead incident response and postmortems — serve as the technical escalation point for complex infrastructure failures, drive systemic improvements, and reduce incident volume over time.</li>
<li>Evaluate and adopt new technologies across the platform stack — making sound build-versus-buy decisions with a clear view of long-term trade-offs and ROI.</li>
<li>Mentor a team of 5 platform engineers through design reviews, pairing, architecture guidance, and knowledge-sharing sessions across the broader engineering organization.</li>
<li>Partner with Information Security to lead vulnerability assessment and security architecture — ensuring compliance, proactive risk management, and adherence to regulatory requirements.</li>
</ul>
Skills &amp; Experience
Must-Have
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li>
<li>8+ years of hands-on experience in DevOps, platform engineering, or cloud infrastructure in a production environment.</li>
<li>Expert-level AWS knowledge — deep fluency with EKS, ECS, EC2, RDS, S3, IAM, VPC, and cost management tooling.</li>
<li>Deep Kubernetes expertise — cluster architecture, networking, RBAC, autoscaling, and debugging production workloads at scale.</li>
<li>Strong infrastructure-as-code proficiency with Terraform — writing extensible, maintainable modules and enforcing IaC standards across the team.</li>
<li>Proven experience designing and operating CI/CD pipelines with GitHub Actions, CircleCI, or similar tooling.</li>
<li>Hands-on observability experience with Datadog, Grafana, or similar platforms — metrics, logs, traces, monitors, SLO tracking, and alerting.</li>
<li>Familiarity with incident management tooling (Incident.io, PagerDuty, or similar) and a track record of leading postmortems and driving systemic reliability improvements.</li>
<li>Fluency in at least one scripting or automation language — Python, Go, or Bash.</li>
<li>Strong communication skills — able to present infrastructure risks and architectural trade-offs to both engineers and non-technical stakeholders.</li>
</ul>
Nice-to-Have
<ul>
<li>Experience with other IaC tools (Pulumi, CloudFormation, CDK) is a plus.</li>
<li>Experience with service catalog and developer experience tooling (OpsLevel, Backstage, or similar).</li>
<li>Background in fintech, lending, or regulated industries where uptime, auditability, and data security are critical.</li>
<li>FinOps experience — cloud cost governance, right-sizing, and spend transparency across engineering teams.</li>
<li>Contribution to open-source infrastructure projects or published engineering RFCs.</li>
</ul>
What the First Year Looks Like
Days 1–30: Learn the Landscape
<ul>
<li>Ramp up on Built’s AWS infrastructure (EKS, ECS, VPC, IAM), CI/CD pipelines, and observability stack.</li>
<li>Shadow on-call rotations (roughly one week every six weeks) to understand current incident patterns and pain points firsthand.</li>
<li>Build relationships with product engineering teams to understand their infrastructure dependencies and friction points.</li>
</ul>
Days 30–60: Start Shaping the Platform
<ul>
<li>Identify the highest-leverage opportunities for platform modernization and SDLC simplification.</li>
<li>Begin contributing to architecture decisions and TRDs for current initiatives.</li>
<li>Propose improvements to IaC standards, deployment pipelines, or observability coverage where gaps exist.</li>
</ul>
Days 60–90: Own and Drive
<ul>
<li>Lead a meaningful platform initiative from architecture through delivery — whether modernization, reliability, or developer experience.</li>
<li>Establish yourself as the technical standard-setter the team turns to for complex infrastructure and AI-related platform questions.</li>
<li>Contribute to the roadmap planning process with a clear point of view on what the platform needs next.</li>
</ul>
AI &amp; Technology Expectations
At Built, AI is a first-class part of how we work — not a pilot program. For this role specifically, that means:
<ul>
<li>Use AI coding assistants (your choice of platform) as a daily productivity multiplier for IaC authoring, pipeline configuration, and automation scripting.</li>
<li>Apply AI to platform operations: runbook generation, incident summarization, root cause analysis drafts, and postmortem synthesis.</li>
<li>Drive and contribute to Built’s broader initiative to automate the software delivery lifecycle — identifying where AI can reduce manual toil across build, test, deploy, and observe workflows.</li>
<li>Evaluate emerging AI infrastructure tooling and bring well-reasoned recommendations to the team.</li>
<li>Share effective AI use cases and patterns with the broader engineering organization.</li>
</ul>
Operational Details
<ul>
<li>Team size: You’ll join a team of 5 platform engineers, with this role serving as the senior technical anchor.</li>
<li>On-call: Rotations run approximately one week every six weeks. We work continuously to reduce incident volume and toil so that on-call is manageable and low-noise.</li>
<li>Location: Remote (US). Flexible working hours.</li>
</ul>
&nbsp;
Built’s salary range for this position is $175,000-$235,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.<div class="content-conclusion">__________________________ Travel Requirement: Non-local candidates (not based in Nashville metro) must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., "Connect Week"). Additional travel may be required based on business needs and role responsibilities. Perks:
<ul>
<li style="font-weight: 400;">The rare opportunity to radically disrupt a $1.5T industry</li>
<li style="font-weight: 400;">Competitive benefits including: uncapped vacation, health, dental &amp; vision insurance</li>
<li style="font-weight: 400;">401k with match and expedited vesting&nbsp;</li>
<li style="font-weight: 400;">Robust compensation package, including equity in the form of stock options&nbsp;&nbsp;</li>
<li style="font-weight: 400;">Learning Grant program to support ongoing professional development</li>
</ul>
Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law. Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies (“Controller”). Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability.
<h5>If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to&nbsp;<a href="mailto:privacy@getbuilt.com">privacy@getbuilt.com</a>. California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.</h5></div>

Staff DevOps Engineer

8+ years in DevOps/platform engineering/cloud infra; AWS, Kubernetes, IaC (Terraform), CI/CD (GitHub Actions/CircleCI), observability (Datadog/Grafana), incident management; scripting (Python/Go/Bash); strong communication.

Senior Cloud Computing Engineer

Design, deploy, and manage AWS infrastructure; implement CI/CD; ensure security/compliance; remote collaboration with VA.

Senior Systems Engineer (Production Support)

Senior Systems Engineer

8+ years in systems engineering or related field; 3+ years SQL; cloud and automation experience; security/compliance knowledge.

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