Explore 6 python cloud platform developer jobs from 3 hiring companies in Madison, IN, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer

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Python Cloud Platform Developer Jobs

Humana

Waystar

Fischer Homes

Onsite

Hybrid

Remote

<h1>Become a part of our caring community and help us put health first  </h1>At Humana, we are deeply committed to transforming the healthcare landscape through secure, scalable, and innovative technology platforms that fundamentally improve the health and well-being of millions of members across the country. We are seeking a highly skilled Senior Platform Engineer to contribute meaningfully to the comprehensive design, meticulous development, and reliable operation of foundational engineering platforms that power mission-critical healthcare applications and sophisticated AI-driven solutions, directly impacting patient care and operational efficiency. This pivotal role plays a key part in the ongoing modernization of cloud infrastructure, substantially strengthening developer productivity through automation and best practices, and ensuring that distributed systems are resilient, compliant with healthcare regulations, and performant under demanding production workloads. The successful candidate will build robust platform capabilities that enable secure, compliant, and scalable delivery of healthcare technology while upholding the highest standards of reliability and operational excellence in a highly regulated environment, where system failures can directly impact member health and safety.Key Responsibilities<ul><li>Design and implement highly scalable platform services and shared infrastructure components that support both healthcare applications and advanced AI systems, ensuring these foundational services can handle growing data volumes, increased user loads, and evolving business requirements while maintaining consistent performance and availability across all environments.</li><li>Develop and maintain comprehensive CI/CD pipelines that enable secure, automated, and compliant software delivery processes, incorporating automated testing, security scanning, compliance validation, and deployment orchestration to accelerate development velocity while maintaining rigorous quality and security standards required in healthcare environments.</li><li>Build and operate containerized services using industry-standard technologies such as Docker and Kubernetes, ensuring resilience through proper health checking, auto-scaling, and graceful degradation patterns, while maintaining high availability through multi-zone deployments, circuit breakers, and comprehensive disaster recovery capabilities.</li><li>Implement sophisticated observability solutions including comprehensive monitoring, centralized logging, detailed metrics collection, and distributed tracing capabilities to support operational excellence, enable rapid troubleshooting, facilitate capacity planning, and provide deep insights into system behavior across complex microservices architectures.</li><li>Design and maintain robust storage solutions and efficient data models across both relational databases (e.g., PostgreSQL, MySQL) and non- relational systems (e.g., MongoDB, Redis, Cassandra), ensuring data integrity, optimal query performance, proper indexing strategies, and adherence to data governance requirements specific to healthcare data handling.</li><li>Perform thorough production troubleshooting and comprehensive root cause analysis to identify and resolve system issues, implementing preventive measures to strengthen platform reliability, reduce mean time to recovery (MTTR), and continuously improve system stability through post- incident reviews and actionable remediation plans.</li></ul><ul><li>Collaborate effectively with product engineering teams, security specialists, and compliance officers to translate complex business requirements into reusable, well-documented, and secure platform capabilities that can be leveraged across multiple teams and projects, promoting consistency and reducing duplicated effort</li><li>Document technical tradeoffs, architectural decisions, and implementation patterns clearly and concisely using architecture decision records (ADRs), design documents, and comprehensive runbooks that enable knowledge transfer, facilitate onboarding of new team members, and support long-term system maintainability.</li><li>Support comprehensive compliance, security, and governance requirements including healthcare regulatory considerations such as HIPAA privacy and security rules, ensuring all platform systems implement appropriate access controls, encryption at rest and in transit, audit logging, and data retention policies.</li></ul><h1> Use your skills to make an impact  </h1>Required Qualifications<ul><li>Bachelor&#39;s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience demonstrated through a portfolio of successful projects, open-source contributions, or progressive career growth in software engineering roles.</li><li>5&#43; years of demonstrated professional experience in software engineering with a strong foundational understanding of distributed systems architecture, backend development methodologies, or platform engineering practices, including hands-on experience building and maintaining production systems that serve significant user bases with strict uptime requirements.</li><li>Strong proficiency in modern programming languages such as Python or Java, with a proven track record of delivering production-grade services that demonstrate clean code practices, appropriate design patterns, comprehensive error handling, and maintainable architectures that have successfully operated in demanding production environments.</li><li>Extensive hands-on experience designing, deploying, and operating cloud- native systems within public cloud environments (Google Cloud Platform strongly preferred), including practical knowledge of core cloud services such as compute instances, managed databases, object storage, networking configurations, identity and access management, and infrastructure security controls.</li><li>Substantial experience with containerization and orchestration technologies (e.g., Docker for container packaging, Kubernetes for container orchestration), and modern CI/CD automation practices including infrastructure as code (e.g., Terraform, Pulumi), automated testing frameworks, deployment strategies (blue-green, canary), and release management processes.</li><li>Solid understanding of system observability principles, reliability engineering practices (including SLIs, SLOs, error budgets), and performance optimization techniques such as caching strategies, query optimization, connection pooling, and resource tuning to ensure systems meet demanding performance and availability requirements.</li></ul>Preferred Qualifications<ul><li>Strong analytical problem-solving abilities and excellent communication skills, with demonstrated ability to collaborate effectively across technical teams, explain complex technical concepts to non-technical stakeholders, participate constructively in code reviews, and contribute to a culture of continuous improvement and knowledge sharing.</li></ul>Additional InformationThis position follows a hybrid work style and must be performed at one of our designated IT hub locations: New York City; Louisville, KY; Tampa, FL; Dallas, TX; Boston, MA or Washington, D.C.At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.Scheduled Weekly Hours40Pay RangeThe compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.  $141,100 - $194,000 per year  This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of BenefitsHumana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1> About Us  </h1>Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.​ Equal Opportunity EmployerIt is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Senior, AI Platform Engineer

AI Platform Engineer

5+ years in software engineering with distributed systems; Python or Java; Cloud experience (GCP preferred); Docker/Kubernetes; CI/CD; observability; healthcare regulatory knowledge.

<h1>Become a part of our caring community  </h1>The Senior Cloud Services Engineer is responsible for the design, operational excellence, and evolution of enterprise automation platforms used across Humana. This role provides technical leadership for onboarding enablement, platform architecture, governance, and automation strategy, enabling internal teams to deliver at scale.<div>The Senior Cloud Services Engineer is a hands-on technical leader responsible for the design, operation, and continuous improvement of enterprise automation platforms. This role partners with internal teams to enable scalable automation, establish platform standards, and drive reliability, security, and usability across shared services. The Senior Engineer operates with a high degree of autonomy, influencing platform strategy while owning day-to-day technical outcomes.Initial focus may include support of platforms such as:<ul><li>Terraform Cloud</li><li>Red Hat Ansible Automation Platform</li><li>Temporal Cloud</li></ul>Platform assignment may evolve based on business need and team alignment.Responsibilities<ul><li>Lead platform architecture decisions and influence roadmap planning</li><li>Define onboarding patterns, tenant models, and access control strategies</li><li>Establish and evolve platform operating standards, guardrails, and best practices</li><li>Act as a technical owner for assigned platforms, accountable for reliability, scalability, and security</li><li>Lead incident root cause analysis and drive preventative improvements</li><li>Configure platform access controls, namespaces, and tenant settings</li><li>Coordinate SaaS connectivity and enterprise networking requirements</li><li>Maintain architecture diagrams, onboarding documentation, and operational runbooks</li><li>Lead in business-hours operational support and incident triage</li><li>Proactively identify inefficiencies and automate repetitive processes</li><li>Design and develop automation solutions</li><li>Operate independently within defined enterprise standards and guardrails</li><li>Provide technical guidance and mentorship to junior engineers and onboarding teams</li><li>Review automation designs and scripts contributed by internal teams</li></ul></div><h1> Use your skills to make an impact  </h1>Required Qualifications<ul><li>5&#43; years of experience in automation, DevOps, platform engineering, cloud engineering, or application support</li><li>Demonstrated experience designing, delivering, and operating automation or platforms used by multiple teams</li><li>Experience owning production platforms or services with broad organizational usage</li><li>Experience making architectural or design decisions in complex environments</li><li>Experience balancing security, scalability, and developer experience</li><li>Proven ability to lead work independently and influence without authority</li><li>Ability to script in Python, PowerShell, or similar language</li><li>Experience working in a cloud environment (Azure preferred)</li><li>Understanding of SaaS integration patterns and networking fundamentals</li><li>Strong troubleshooting and documentation skills</li><li>Operate autonomously and lead through influence</li></ul> Preferred Qualifications<ul><li>Experience supporting or developing cloud-based applications</li><li>Hands-on experience designing or operating workflow orchestration platforms at scale</li><li>Advanced experience with Infrastructure as Code (Terraform or equivalent), including module design and governance</li><li>Experience with enterprise automation platforms</li><li>Experience integrating with REST APIs</li></ul> What We Value<ul><li>Automation-first mindset</li><li>High ownership and self-direction</li><li>Comfort operating in ambiguous environments</li><li>Desire to improve processes, not just execute them</li></ul>This is a remote positionSSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana&#64;myworkday.com with instructions on how to add the information into your official application on Humana’s secure website.Interview Format As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.WAH Internet Statement To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.Scheduled Weekly Hours40Pay RangeThe compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.  $106,900 - $147,000 per year  This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of BenefitsHumana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1> About us  </h1>About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.​ Equal Opportunity EmployerIt is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Senior Cloud Services Engineer

5+ years in automation, DevOps, platform/cloud engineering; experience owning production platforms; scripting; Azure; REST APIs; automation with IaC; strong troubleshooting and documentation.

<h1>Become a part of our caring community and help us put health first  </h1>The Principal AI Engineer serves as a senior technical authority responsible for guiding Humana’s enterprise platform strategy and engineering execution, with a dedicated focus on agentic AI systems—AI solutions capable of autonomous action, complex reasoning, and orchestrating tasks across multiple environments. This role leads the design, development, and operation of foundational agentic AI platforms, tools, and services that empower development teams to build, deploy, and operate agent-driven applications efficiently, securely, and reliably. As a principal-level contributor, this position influences architectural direction for core infrastructure supporting agentic AI workloads, drives innovation in developer experience and automation—including agent orchestration and human-AI collaboration—mentors engineering teams, and ensures that platform solutions are robust, scalable, secure, and aligned with Humana’s enterprise agentic AI technology roadmap. The ideal candidate blends deep full-stack engineering expertise with hands-on proficiency in cloud infrastructure, automation, developer tooling, and advanced agentic AI platform capabilities—capable of shaping long-term vision while delivering high-quality, production-ready agentic AI platforms.Principal AI EngineerThe Principal AI Engineer serves as a senior technical authority responsible for guiding Humana’s enterprise platform strategy and engineering execution, with a dedicated focus on agentic AI systems—AI solutions capable of autonomous action, complex reasoning, and orchestrating tasks across multiple environments. This role leads the design, development, and operation of foundational agentic AI platforms, tools, and services that empower development teams to build, deploy, and operate agent-driven applications efficiently, securely, and reliably. As a principal-level contributor, this position influences architectural direction for core infrastructure supporting agentic AI workloads, drives innovation in developer experience and automation—including agent orchestration and human-AI collaboration—mentors engineering teams, and ensures that platform solutions are robust, scalable, secure, and aligned with Humana’s enterprise agentic AI technology roadmap. The ideal candidate blends deep full-stack engineering expertise with hands-on proficiency in cloud infrastructure, automation, developer tooling, and advanced agentic AI platform capabilities—capable of shaping long-term vision while delivering high-quality, production-ready agentic AI platforms.<div></div>Platform Strategy &amp; Architecture<ul><li>Lead the design, development, and evolution of internal developer platforms tailored for agentic AI use cases, focusing on self-service capabilities, intelligent automation, and an optimized developer experience for building and deploying AI agents.</li><li>Define architectural patterns and best practices for infrastructure, agent deployment and lifecycle management, and operational excellence, ensuring security, scalability, and cost-efficiency across agentic AI workloads.</li><li>Evaluate, select, and integrate foundational agentic AI technologies, including cloud-based agent orchestration frameworks, container orchestration (Kubernetes), infrastructure-as-code (IaC) tools, agent workflow orchestration platforms, and observability solutions for agentic AI systems.</li><li>Drive the adoption of platform-as-a-service (PaaS), infrastructure-as-code (IaC), and agent-as-a-service principles to standardize and automate environment provisioning, agent training, and agent serving.</li></ul><div></div>Cloud Infrastructure &amp; Agentic AI Operations<ul><li>Architect, deploy, and manage core infrastructure and platform services on cloud platforms (GCP preferred), leveraging agentic AI and ML services such as Vertex AI, Compute Engine, GKE, and Cloud Storage.</li><li>Design and implement advanced networking, security controls, and access management (IAM) for agentic AI systems, supporting compliance and responsible AI guidelines.</li><li>Establish and manage comprehensive monitoring, logging, tracing, and alerting systems for agent workflows, models, and applications, ensuring the reliability, performance, and health of both platform and hosted agentic AI solutions.</li></ul><div></div>Developer Experience &amp; Agentic AI Tooling<ul><li>Build and maintain robust CI/CD and agentic AI pipeline automation (e.g., GitLab CI/CD, Jenkins, Kubeflow, ArgoCD) for automated testing, deployment, release management, and agent lifecycle management.</li><li>Develop internal tools, APIs, and services that abstract agentic AI infrastructure complexity, enabling application and data science teams to self-service their agent/agent group training, deployment, and monitoring needs.</li><li>Champion best practices for code quality, testing, security scanning, and automated deployments, integrating agentic AI-assisted developer tools (e.g., GitHub Copilot, Claude Code, Gemini CLI) into platform offerings.</li><li>Provide guidance and support to engineering and data science teams on leveraging platform agentic AI capabilities to improve development workflows and operational posture.</li></ul><div></div>Backend Engineering for Agentic AI Platform Services<ul><li>Develop scalable backend services and APIs using Python, specifically designed to power agentic AI platform functionalities and developer tools.</li><li>Design and implement REST-compliant or gRPC endpoints with versioning, comprehensive error handling, and clear documentation (e.g., OpenAPI/Swagger) for agentic AI platform services.</li><li>Architect database schemas and manage data persistence for platform metadata, agent artifacts, configuration, and telemetry data.</li><li>Build secure, high-performance services capable of handling demanding internal agentic AI platform workloads.</li></ul><div></div>Cross-Functional Collaboration<ul><li>Partner closely with application, data science, security, and operations teams to understand agentic AI needs, gather feedback, and evolve the platform to meet enterprise requirements for agent-based solutions.</li><li>Contribute significantly to enterprise architectural decisions for agentic AI infrastructure and lead technical planning efforts for complex agentic AI platform initiatives.</li><li>Conduct thorough code and agent review, define platform engineering standards, and champion best practices for reliability, security, and operability of agentic AI systems across teams.</li><li>Clearly document platform architectures, agentic AI API specifications, runbooks, and critical technical decisions for knowledge sharing and maintainability.</li></ul><div></div>Minimum Qualifications<ul><li>10&#43; years of total engineering experience</li></ul><h1> Use your skills to make an impact  </h1>Required Qualifications <ul><li>Bachelor’s or Master’s in Computer Science, Engineering, or a related quantitative field. </li><li>10&#43; years of professional software or platform engineering experience. </li><li>Deep expertise in Python, including building production services and shared libraries used by others. </li><li>Hands-on experience with modern AI systems, including LLM integration, RAG, embeddings, and applied generative AI patterns. </li><li>Strong background in machine learning engineering, including model deployment, monitoring, evaluation, and lifecycle management. </li><li>Expert-level understanding of FastAPI, Flask, or similar frameworks, and REST/gRPC service design. </li><li>Strong proficiency with cloud-native development on AWS, GCP, or Azure. </li><li>Minimum 5 years of containerization and orchestration experience (Docker, Kubernetes). </li><li>Production experience with CI/CD pipelines, version control, and modern DevOps practices. </li><li>Demonstrated ability to own large, ambiguous problems and deliver high-value, high-quality solutions.  </li></ul>Preferred Qualifications <ul><li>Experience shaping engineering culture or influencing architectural direction across teams. </li><li>Experience with generative AI tooling (e.g., LangChain, LlamaIndex, PydanticAI, or similar). </li><li>Strong understanding of deep learning frameworks (PyTorch, TensorFlow). </li><li>Experience with distributed systems (Akka, Flink, or similar). </li><li>Prior work building platforms rather than one-off applications. </li><li>A track record of pragmatic decision-making, balancing innovation with maintainability and long-term value.</li></ul>Additional InformationThis position follows a hybrid work style and must be performed at one of our designated IT hub locations: Louisville, KY; Tampa, FL; Dallas, TX; Boston, MA; New York City; or Washington, D.C.To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.Scheduled Weekly Hours40Pay RangeThe compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.  $172,200 - $236,900 per year  This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of BenefitsHumana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1> About Us  </h1>Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.​ Equal Opportunity EmployerIt is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Principal AI Engineer

10+ years of engineering/software/platform experience; deep Python and cloud-based AI platform experience; 5+ years Kubernetes/Docker; CI/CD and DevOps proficiency; strong ML engineering background.

Job Summary As an IT Senior Data Platform Engineer at Fischer Homes, you will serve as the technical owner of our enterprise data platform, ensuring the performance, availability, security, and modernization of our SQL Server and cloud database environments. This role blends hands-on database administration, cloud engineering, automation, and cross-functional collaboration to support mission-critical systems and analytics initiatives.
This position is 100% onsite, day 1 in our Erlanger, KY office.
You will thrive in this role if you:
<ul>
<li>Communicate effectively with developers, infrastructure teams, analytics partners, and business stakeholders to deliver secure, scalable data solutions.</li>
<li>Take ownership of production reliability and proactively prevent issues through monitoring, automation, and strong operational standards.</li>
<li>Analyze incidents to root cause and implement long-term, automated solutions to eliminate repeat failures.</li>
<li>Adapt quickly to evolving technologies and cloud platforms while maintaining operational stability.</li>
<li>Lead modernization initiatives with a strategic mindset while remaining hands-on in technical execution.</li>
</ul>
These skills will be used to:
<ul>
<li>Administer, optimize, and maintain Microsoft SQL Server environments including performance tuning, indexing, patching, capacity planning, and HA/DR design.</li>
<li>Design, implement, and routinely test backup/restore and disaster recovery capabilities.</li>
<li>Lead the transition from self-managed SQL Server environments to managed cloud database services such as Amazon RDS for SQL Server and Azure SQL Managed Instance.</li>
<li>Build proactive monitoring, alerting, and observability standards across SQL Server, SSIS, Azure Data Factory, and cloud services.</li>
<li>Implement database security best practices including least privilege access, encryption, credential management, and auditing controls.</li>
<li>Drive scripting and automation initiatives using PowerShell and/or Python to standardize provisioning and operational processes.</li>
<li>Partner with Infrastructure on infrastructure-as-code (IaC), governance guardrails (RBAC, logging, tagging), and CI/CD-enabled database deployments.</li>
<li>Modernize data movement patterns, including CDC and incremental ingestion strategies, to enable scalable downstream analytics (e.g., Microsoft Fabric/OneLake).</li>
<li>Standardize ETL/ELT practices with strong logging, monitoring, retries, and documentation.</li>
<li>Lead incident response, root cause analysis, and postmortem documentation to reduce operational risk.</li>
<li>Support secure SaaS/vendor integrations and collaborate across Application Development, Analytics, HR, Finance, and Operations.</li>
</ul>
Qualifications:
<ul>
<li>6+ years of hands-on Microsoft SQL Server administration experience in production environments, including performance tuning, HA/DR, and backup/restore.</li>
<li>Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.</li>
<li>Experience supporting SQL Server in AWS and/or Azure environments, including networking and identity fundamentals.</li>
<li>Strong SQL expertise with the ability to partner with developers on schema optimization and query performance improvements.</li>
<li>Strong scripting and automation experience using PowerShell and/or Python.</li>
<li>Demonstrated experience building monitoring, alerting, and incident response processes.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with managed database services such as Amazon RDS for SQL Server and/or Azure SQL Managed Instance.</li>
<li>Experience with SSIS, Azure Data Factory, or similar data orchestration tools.</li>
<li>Experience with infrastructure-as-code and CI/CD workflows.</li>
<li>Experience designing CDC/incremental ingestion patterns for analytics or lakehouse platforms.</li>
<li>Familiarity with SLOs/SLIs, operational runbooks, change management, and postmortem practices.</li>
<li>Understanding of AI/ML fundamentals and experience supporting AI-enabled data workloads in enterprise environments</li>
</ul>
Physical demands and work environment:
<ul>
<li>Must have use of sensory skills to effectively communicate and interact with other employees and the public through use of the telephone and face-to-face contact.</li>
<li>Must have the capability to effectively use and operate various items of office-related equipment such as but not limited to the computer, calculator, copier, and printers.</li>
<li>Must be able to sit for long periods of time with low periods of reaching and standing.</li>
<li>Must be able to travel to company offices, division locations, or field sites as required.</li>
</ul>
The Value of a Career with Fischer Homes&nbsp;&nbsp;
Fischer Homes is one of the largest and most reputable home builders in the Midwestern and Southeastern states. Founded in 1980, the company has grown to build over 43,000 homes and employs over 750 Associates. Fischer Homes' solid reputation has been built largely by the talent of our Associates as we have been recognized as the 31st largest builder in the United States.&nbsp;
We value diversity within the Fischer Homes organization and see each Associate as a team member and asset. We select highly competent individuals to join our team and provide them with the resources, training, and development possible to make significant contributions and drive their success while determining their career paths. The rewards for their efforts are:&nbsp;
<ul>
<li>Professional Development Training programs&nbsp;</li>
<li>Tuition Reimbursement&nbsp;</li>
<li>Competitive Compensation&nbsp;</li>
<li>401(k) with Company matching contributions and profit-sharing&nbsp;</li>
<li>Employee Life Insurance&nbsp;</li>
<li>Personal time off&nbsp;</li>
<li>Inclusive Leave&nbsp;</li>
</ul>
Fischer Homes holds the highest ethical standards for business. We are honest and straightforward and will stand by our word. Our actions demonstrate respect, courtesy, and above all, fairness.&nbsp;

SENIOR DATA PLATFORM ENGINEER

Senior Data Platform Engineer

6+ years in Microsoft SQL Server administration; AWS/Azure experience; strong SQL, scripting (PowerShell/Python); monitoring, automation, security, and cloud DB modernization.

ABOUT THIS POSITIONWe are looking for a talented and driven Sr. Site Reliability Engineering (SRE) to support our engineering team, which manages the infrastructure and services that power our Waystar products. This role is ideal for an experienced engineer who thrives in data-intensive environments and is passionate about building reliable, scalable systems that ensure data integrity, availability, and performance. As an SRE Specialist, you’ll work closely with engineering, product, and data teams to ensure our data licensing platforms are resilient, observable, and continuously improving.WHAT YOU&#39;LL DO<ul><li>System Reliability &amp; Performance<ul><li>Design and implement reliability solutions for data ingestion, processing, and delivery pipelines.</li><li>Define and maintain SLIs/SLOs for data licensing services and manage error budgets.</li><li>Build automation for deployment, monitoring, and incident response.</li></ul></li><li>Observability &amp; Monitoring<ul><li>Enhance system observability through metrics, logging, and tracing.</li><li>Develop and maintain dashboards and alerts to proactively detect and resolve issues.</li></ul></li><li>Incident Response &amp; Postmortems<ul><li>Participate in on-call rotations and lead incident response efforts.</li><li>Conduct root cause analysis and drive post-incident improvements.</li><li>Maintain runbooks and operational documentation.</li></ul></li><li>Collaboration &amp; Continuous Improvement<ul><li>Partner with software and data engineers to embed reliability into system design.</li><li>Contribute to blameless postmortems and reliability reviews.</li><li>Share knowledge and mentor junior team members.</li></ul></li></ul>WHAT YOU&#39;LL NEED<ul><li>7&#43; years of experience in SRE, DevOps, or infrastructure engineering.</li><li>Strong understanding of cloud platforms (AWS, GCP, or Azure), container orchestration (Kubernetes), and infrastructure-as-code (Terraform, CloudFormation).</li><li>Experience with observability tools (e.g., Prometheus, Grafana, Splunk) and CI/CD pipelines.</li><li>Familiarity with data platforms, ETL pipelines, and distributed systems.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Python, Powershell, and other similar languages</li><li>Active use of artificial intelligence (AI) tools and techniques to enhance performance, drive innovation, and improve decision-making across business functions</li><li>Ability to leverage AI tools and platforms to streamline workflows, improve decision-making, and drive innovation</li><li>Curiosity and adaptability in exploring emerging AI technologies, with a mindset for continuous learning and experimentation</li></ul>Preferred Qualifications<ul><li>Experience with data licensing, data governance, or data compliance frameworks.</li><li>Exposure to data pipeline tools (e.g., Apache Airflow, Kafka, Spark).</li><li>Familiarity with regulatory requirements related to data usage and distribution.</li></ul><div>ABOUT WAYSTARThrough a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M&#43; providers, 1K&#43; hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers.  We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic &amp; fun.Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit <a href="https://www.waystar.com/" target="_blank">waystar.com</a> or follow <a href="https://twitter.com/Waystar" target="_blank">&#64;Waystar</a> on Twitter.  </div>WAYSTAR PERKS<ul><li>Competitive total rewards (base salary &#43; bonus, if applicable)</li><li>Customizable benefits package (3 medical plans with Health Saving Account company match)</li><li>We offer generous paid time off for our non-exempt team members, starting with 3 weeks &#43; 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members &#43; 13 paid holidays</li><li>Paid parental leave (including maternity &#43; paternity leave)</li><li>Education assistance opportunities and free LinkedIn Learning access</li><li>Free mental health and family planning programs, including adoption assistance and fertility support</li><li>401(K) program with company match</li><li>Pet insurance</li><li>Employee resource groups</li></ul>Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Senior Site Reliability Engineer II

7+ years in SRE/DevOps or infrastructure engineering; cloud platforms (AWS, GCP, Azure); Kubernetes; IaC (Terraform, CloudFormation); observability tools (Prometheus, Grafana, Splunk); CI/CD; data platforms/ETL; Python and PowerShell; AI tooling experience.

ABOUT THIS POSITIONWe are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and agentic architectures. As a core member of the team, you will be instrumental in developing the entire ML pipeline, from sophisticated data extraction techniques to fine-tuning specialized LMs and orchestrating their interactions within a multi-agent framework. This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real-world, high-impact problem, leveraging the latest research in agentic AI and LMs to deliver economical and powerful solutions.WHAT YOU&#39;LL DOData Pipeline &amp; Knowledge Base Construction:<ul><li>Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured information from complex documents (leveraging OCR, document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE).</li><li>Develop rich, nested JSON schemas for representing structured data and ensure scalable storage</li><li>Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database.  </li></ul>Language Model (LM) Development &amp; Fine-tuning:<ul><li>Research, select, and experiment with appropriate open-source Language Models (Large &amp; Small) (e.g., Phi-3, Mistral, Llama, Nemotron-H families) for specialized tasks.</li><li>Design and execute efficient fine-tuning strategies (e.g., LoRA, QLoRA, full fine-tuning) on curated, domain-specific datasets to achieve precise performance for tasks like coverage determination, code lookups, and policy rule application.</li><li>Explore and implement knowledge distillation techniques to transfer capabilities from larger models to smaller, more efficient LMs.  </li></ul>Agentic System Design &amp; Implementation:<ul><li>Build and maintain the core agentic framework, including the orchestrator that intelligently routes queries and coordinates interactions between various specialized LM tools.</li><li>Develop and integrate &#34;tools&#34; (specialized LMs and external APIs) that perform atomic medical necessity tasks, ensuring strict behavioral alignment and structured outputs.  </li></ul>MLOps &amp; Deployment:<ul><li>Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using services like Vertex AI, GKE, Cloud Functions, and Cloud Run.</li><li>Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), model versioning, and performance monitoring (latency, throughput, accuracy).  </li></ul>Continuous Improvement &amp; Research:<ul><li>Establish effective feedback loops from end-user interactions and system logs to identify areas for model improvement.</li><li>Curate and expand training datasets, ensuring data privacy (PHI/PII masking) and legal compliance.</li><li>Stay abreast of the latest research in LMs, agentic AI, NLP, and document understanding, applying relevant advancements to our system.  </li></ul>Collaboration:<ul><li>Work closely with subject matter experts, product managers, and other engineers to translate complex requirements into technical solutions and evaluate system performance.</li></ul>WHAT YOU&#39;LL NEED<ul><li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field. Ph.D. preferred.</li><li>5&#43; years of professional experience in machine learning engineering, with a strong track record of deploying and maintaining ML models in production environments.</li><li>Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow, PyTorch, Scikit-learn).</li><li>Deep understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning techniques, as well as deep learning architectures.</li><li>Strong experience with cloud platforms (AWS, Azure, GCP) and their ML services.</li><li>Proficiency in building and managing data pipelines using tools like Spark, Kafka, SQL, and NoSQL databases.</li><li>Demonstrated experience with MLOps principles and tools (e.g., MLflow, Kubeflow, Sagemaker, Airflow).</li><li>Excellent problem-solving skills and the ability to work independently on complex issues.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively in a cross-functional team.</li><li>Experience in the healthcare technology domain is a significant plus.</li><li>Proven ability to lead technical initiatives and influence architectural decisions.</li></ul><div>ABOUT WAYSTARThrough a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M&#43; providers, 1K&#43; hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers.  We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic &amp; fun.Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit <a href="https://www.waystar.com/" target="_blank">waystar.com</a> or follow <a href="https://twitter.com/Waystar" target="_blank">&#64;Waystar</a> on Twitter.  </div>WAYSTAR PERKS<ul><li>Competitive total rewards (base salary &#43; bonus, if applicable)</li><li>Customizable benefits package (3 medical plans with Health Saving Account company match)</li><li>We offer generous paid time off for our non-exempt team members, starting with 3 weeks &#43; 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members &#43; 13 paid holidays</li><li>Paid parental leave (including maternity &#43; paternity leave)</li><li>Education assistance opportunities and free LinkedIn Learning access</li><li>Free mental health and family planning programs, including adoption assistance and fertility support</li><li>401(K) program with company match</li><li>Pet insurance</li><li>Employee resource groups</li></ul>Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Senior ML Engineer II

5+ years ML engineering; Python, TensorFlow/PyTorch; cloud platforms; data pipelines; MLflow/Kubeflow; NLP, LMs, agentic AI; healthcare domain a plus.

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