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Senior Software Engineer Java Full Stack Jobs in Columbia, MO

Senior Engineer

California, MO ยท On-site

$150 - $190/hr

Full-Stack Application Development * ReactJS Development * Backend Technologies (.NET, Java) * CI ... Software Development Lifecycle * Design Principles Tools & Technologies * Docker * Kubernetes

Senior Full Stack Engineer

California, MO ยท On-site

$100 - $130/hr

Qualifications * 10+ years of professional software development experience * Strong expertise in Java and Spring Boot * Experience designing and building RESTful APIs and microservices * Strong ...

We are looking for a Senior Software Engineer to join our enterprise drive-thru team and help us ... Tech Stack) * A core of Java & Kotlin based backend services. * React SPAs leveraging Tailwind ...

The Role As a Senior Software Engineer, you'll have real ownership over the software and systems ... You'll work across the stack, partner closely with Product and Design, and ship features that ...

Seeking an Oracle Senior Software Engineer to join a team focused on implementing innovative solutions to support the production of episodic television. The team works to implement solutions across ...

Showing results 41-60

Senior Software Engineer Java Full Stack information

See Columbia, MO salary details

$42.3K

$128.2K

$181.3K

How much do senior software engineer java full stack jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior software engineer java full stack in Columbia, MO is $128,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a senior software engineer Java full stack?

Senior Software Engineer Java Full Stack professionals are experienced developers who work on both the front-end and back-end aspects of software applications using Java and related technologies. They are responsible for designing, developing, and maintaining complex software systems, ensuring all components work seamlessly together. These engineers often lead development teams, mentor junior developers, and make key architectural decisions to drive project success. Their expertise covers a wide range of technologies, including Java frameworks, databases, web services, and modern front-end tools.

What are the key skills and qualifications needed to thrive as a senior software engineer Java full stack?

To thrive as a Senior Software Engineer Java Full Stack, you need deep expertise in Java, front-end frameworks like Angular or React, RESTful APIs, and a bachelor's degree in computer science or a related field. Familiarity with tools such as Spring Boot, Docker, Git, CI/CD pipelines, and cloud platforms, along with relevant certifications, is highly advantageous. Leadership, effective communication, and problem-solving skills help you mentor junior developers and collaborate across teams. These skills are vital for delivering robust, scalable solutions and driving project success in dynamic development environments.

What opportunities for technical leadership and mentorship are available to senior software engineer Java full stack professionals?

As a Senior Software Engineer Java Full Stack, you often have opportunities to take on technical leadership roles such as leading project teams, architecting solutions, and setting coding standards. You may also mentor junior developers, conduct code reviews, and facilitate knowledge sharing within the team. These responsibilities not only help develop your leadership skills but also position you for advancement into roles like Technical Lead or Engineering Manager. Many organizations encourage senior engineers to participate in decision-making processes and cross-functional collaboration, further broadening your impact and career growth.

What is the difference between Senior Software Engineer Java Full Stack vs Software Developer Java?

AspectSenior Software Engineer Java Full StackSoftware Developer Java
Required CredentialsBachelor's or Master's in CS or related, Java certifications often preferredBachelor's in CS or related, Java certifications optional
Work EnvironmentDesigning, developing, and maintaining full-stack applications, often in Agile teamsDeveloping Java-based applications, primarily backend or frontend, in various environments
Industry UsageCommon in tech companies, startups, and enterprise ITWidely used across industries for Java application development

While both roles involve Java development, Senior Software Engineer Java Full Stack typically encompasses a broader scope, including both frontend and backend responsibilities, along with leadership and design tasks. Software Developer Java may focus more narrowly on specific application components. The senior role often requires more experience and a deeper understanding of full-stack development.

What are popular job titles related to Senior Software Engineer Java Full Stack jobs in Columbia, MO?

For Senior Software Engineer Java Full Stack jobs in Columbia, MO, the most frequently searched job titles are:

What job categories do people searching Senior Software Engineer Java Full Stack jobs in Columbia, MO look for?

The top searched job categories for Senior Software Engineer Java Full Stack jobs in Columbia, MO are:

What cities near Columbia, MO are hiring for Senior Software Engineer Java Full Stack jobs?

Cities near Columbia, MO with the most Senior Software Engineer Java Full Stack job openings:

Infographic showing various Senior Software Engineer Java Full Stack job openings in Columbia, MO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,248 per year, or $61.7 per hour.

Senior Software Engineer Applied AI

AMC Health

Jefferson City, MO โ€ข On-site

$116K - $153K/yr

Full-time

Posted yesterday

New


Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems)
AMC Health ๏ฟฝ Remote (US) ๏ฟฝ Full-time
The pitch
We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real-time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.
What you'll work across
Real-time voice AI
  • Streaming, low-latency speech-to-speech systems built on modern LLMs
  • Telephony and real-time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency-sensitive path, where p99 matters and a stall is something a caller hears

LLM engineering
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi-model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM-as-judge and automated agent-tests-agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure

Traditional (non-LLM) machine learning
  • End-to-end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real-world data; calibration and explainability for non-technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines

Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least-privilege access, strict data-handling discipline
  • Observability and telemetry-driven debugging, tracing a production issue from a metric anomaly to root cause

Plus occasional full-stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.
What you'll actually do
  • Ship and debug code on a live, real-time voice pipeline where latency and correctness are user-facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch-analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor

Must-haves
  • 7+ years building and operating production backend systems, with strong general-purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands-on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data

Nice-to-haves
  • Real-time media or telephony experience
  • Front-end / full-stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)

How we work
Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.
Work authorization (no exceptions)
This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.
How to apply
Please submit both of the following:
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.