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Python Kubernetes Software Engineer Data Jobs in Overland, MO

Merck KgaA

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

... and data * Seasoned hands-on coder; still writes production Python regularly * Seasoned system ... Experience with Kubernetes and container orchestration. * Familiarity with event-driven ...

Merck Group

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

You will work closely with product managers, software engineers, data scientists, and ML engineers ... Python, REST API, Pandas, NumPy * Cloud and infrastructure: AWS Services and/or GCP, Kubernetes ...

Leidos

Software Engineer/Data Science Librarian

Arnold, MO · On-site

$101K - $121K/yr

Leidos is seeking a Software Engineer / Data Science Librarian to manage and optimize databases ... Maintain and enhance Perl scripts, Java and Python code packages, and database constructs to ...

Leidos

Software Engineer/Data Science Librarian

Arnold, MO · On-site

$101K - $121K/yr

Leidos is seeking a Software Engineer / Data Science Librarian to manage and optimize databases ... Maintain and enhance Perl scripts, Java and Python code packages, and database constructs to ...

Omni Federal

Software Engineer

Saint Louis, MO · On-site

$130 - $180/hr

... Python in production application development environments or building large-scale ETL/data ... Kubernetes/OpenShift environments * Experience with Git-based source control and GitLab CI/CD ...

Omni Federal

Software Engineer

Saint Louis, MO · On-site

... Python in production application development environments or building large-scale ETL/data ... Kubernetes/OpenShift environments * Experience with Git-based source control and GitLab CI/CD ...

Medium

Software Engineer

Saint Louis, MO · On-site

$100 - $130/hr

Our projects range from data collection to advanced deep learning, leveraging tools like Python ... Hands on experience developing containerized applications with Docker and Kubernetes. * Experience ...

New

Omni Federal

Software Engineer

Saint Louis, MO · On-site

... Python in production application development environments or building large-scale ETL/data ... Kubernetes/OpenShift environments * Experience with Git-based source control and GitLab CI/CD ...

Scale AI

Field Engineer, Data Engine

Saint Louis, MO · On-site

Deploy and maintain Scale software at customer sites. * Develop customer requested features and ... Prior experience developing with Python * Cloud-Native Technologies: Familiarity with cloud ...

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Staff Software Engineer

Merck KgaA

Saint Louis, MO • On-site

$110K - $165K/yr

Other

Medical, Retirement, PTO

Posted 5 days ago

Job description

Work Your Magic with us! Start your next chapter and join MilliporeSigma.
Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.
Your Role:
We are looking for a Staff Applied AI Engineer to build scalable, production-grade backend applications that leverage large and complex datasets. This role is software engineering first, with a strong emphasis on designing reliable systems that ingest, process, and serve data to power modern applications and AI-driven solutions.
You will work closely with product managers, software engineers, data scientists, and ML engineers to build robust backend services, data-intensive applications, and production AI systems. Success in this role requires strong software engineering fundamentals, practical experience working with data throughout its lifecycle, and the ability to design systems that are scalable, maintainable, and reliable in production.
Essential Job Functions:
  • Lead technical strategy for AI/LLM systems across multiple products
  • Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production
  • Set the standards for AI safety, evaluation, observability, and responsible rollout in a regulated context
  • Mentor Junior-level engineers into strong AI engineers; Employ AI Native development skills to multiply the productivity (Claude, etc.)
  • Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team
  • Design, develop, and maintain scalable Python applications and backend services.
  • Build systems that ingest, validate, transform, and manage structured and unstructured data in production environments.
  • Design data models and storage solutions that support scalable, high-performance applications.
  • Develop reusable components for data processing, validation, enrichment, and feature generation.

Who You Are
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
  • At least 3 years of hands-on experience in machine learning, data science, search relevance, or ranking systems.

Preferred Qualifications:
  • 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems
  • Proven expertise in Python and ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit- learn, or equivalent).
  • Strong background in statistical analysis, data exploration, and working with large-scale datasets.
  • Experience with feature engineering, data preprocessing, and data
  • Seasoned hands-on coder; still writes production Python regularly
  • Seasoned system designer for AI systems at scale - retrieval, agents, evaluation, latency, and cost, vector databases/pipelines
  • Strong experience building and maintaining production-grade backend applications.
  • Experience designing and developing RESTful APIs and distributed systems.
  • Strong SQL skills and experience working with relational databases; familiarity with NoSQL databases or modern data storage technologies is a plus.
  • Solid understanding of data engineering fundamentals, including data quality, validation, transformation, modeling, and efficient storage.
  • Experience designing systems that process large datasets reliably and efficiently.
  • Experience with cloud platforms such as Google Cloud Platform (Google Cloud Platform) or AWS.
  • Experience using Docker, Git, CI/CD pipelines, automated testing frameworks, and modern software engineering best practices.
  • Core engineering stack
  • Languages: Python, REST API, Pandas, NumPy
  • Cloud and infrastructure: AWS Services and/or Google Cloud Platform, Kubernetes, Bedrock
  • Distributed systems: event-driven architectures, including Kafka
  • Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc.
  • Vector Databases like Qdrant

Nice to have Skills:
  • Experience with Kubernetes and container orchestration.
  • Familiarity with event-driven architectures and messaging platforms such as Kafka.
  • Familiarity with ML model deployment and inference pipelines

Location
This role can be based in either our St. Louis, MO or Burlington, MA office and requires a weekly onsite presence
Pay Range for this position: $110,500 - $165,900. The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here: ;br>
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

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