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Associate Software Development Engineer In Test Jobs in Springfield, IL

CSpring

QA Analyst / ETL Tester

Springfield, IL · On-site

Integrate test automation into CI/CD pipelines in Azure DevOps. * Document test results and provide detailed, actionable feedback to stakeholders. Requirements: * 5+ years of experience in software ...

Hansoninc

Senior Civil Site Engineer

Springfield, IL · On-site +1

Participate in development of proposals. * Coordinate with Project Managers and other disciplines ... Experience with AutoCAD/Civil3D software, surface modeling, corridors and pipe networks.

CSpring

QA Analyst / ETL Tester

Springfield, IL · On-site

Integrate test automation into CI/CD pipelines in Azure DevOps. * Document test results and provide detailed, actionable feedback to stakeholders. Requirements * 5+ years of experience in software ...

CSpring

QA Analyst / ETL Tester

Springfield, IL · On-site

Integrate test automation into CI/CD pipelines in Azure DevOps. * Document test results and provide detailed, actionable feedback to stakeholders. Requirements * 5+ years of experience in software ...

Dellfor Technologies

senior java developer

Springfield, IL · On-site

$56.75 - $72.25/hr

Involved in Agile methodology and Waterfall model with respect to the successful development of the ... Experience with all phases of the Software Development Lifecycle, including system analysis, design ...

Pentangle Tech

electrical engineer

Petersburg, IL · On-site

... development and execution of camera system testing and validation * Writing and executing: * Test ... in testing, debugging, and field validation--not purely design or software-focused work.

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Associate Software Development Engineer In Test information

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How much do associate software development engineer in test jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for associate software development engineer in test in Springfield, IL is $41.85, according to ZipRecruiter salary data. Most workers in this role earn between $30.24 and $44.33 per hour, depending on experience, location, and employer.

What is an associate software development engineer in test?

An Associate Software Development Engineer in Test (SDET) is an entry-level professional who designs, develops, and maintains automated tests to ensure the quality and functionality of software applications. They work closely with software developers and quality assurance teams to identify bugs, create test scripts, and automate testing processes. Their primary focus is on improving software reliability and streamlining the testing workflow by using programming skills to build robust test frameworks. This role often serves as a stepping stone to more advanced positions in quality engineering or software development.

What are the key skills and qualifications needed to thrive as an associate software development engineer in test?

To thrive as an Associate Software Development Engineer In Test, you need a solid understanding of programming languages (such as Java, Python, or JavaScript), software testing principles, and a degree in computer science or a related field. Familiarity with automated testing frameworks (like Selenium or JUnit), version control systems (such as Git), and CI/CD tools is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with development teams and identify issues efficiently. These skills and qualities are critical for ensuring software quality, reducing defects, and supporting the agile development process.

What are some typical challenges faced by an associate software development engineer in test when collaborating with development teams?

As an Associate SDET, one common challenge is ensuring clear communication between QA and development teams, especially when clarifying requirements or reporting bugs. SDETs often need to advocate for quality while balancing release deadlines, which requires effective collaboration and negotiation skills. Additionally, integrating automated tests into fast-paced development cycles can be complex, especially when dealing with evolving codebases or shifting priorities. Overcoming these challenges involves proactive communication, continuous learning, and adaptability within agile team structures.

What is the difference between Associate Software Development Engineer In Test vs Software Development Engineer In Test?

AspectAssociate Software Development Engineer In TestSoftware Development Engineer In Test
QualificationsBachelor's in CS or related field, some experienceBachelor's or higher in CS, more experience often required
Work EnvironmentEntry-level, collaborative teams, learning-focusedMore autonomous, complex testing tasks, leadership roles
ResponsibilitiesWriting basic test scripts, executing tests, learning automation toolsDesigning test frameworks, automating tests, improving testing processes

The main difference is experience level and scope. Associate Software Development Engineer In Test roles are entry-level, focusing on learning and executing tests, while Software Development Engineer In Test positions involve more complex automation and design responsibilities, often requiring more experience.

What are popular job titles related to Associate Software Development Engineer In Test jobs in Springfield, IL?

For Associate Software Development Engineer In Test jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Associate Software Development Engineer In Test jobs in Springfield, IL look for?

The top searched job categories for Associate Software Development Engineer In Test jobs in Springfield, IL are:

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Cities near Springfield, IL with the most Associate Software Development Engineer In Test job openings:

Associate Software Development Engineer In Test jobs near you

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Springfield, IL • On-site

$150 - $210/hr

Other

Re-posted 6 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) 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
  • 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
  • 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.

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
  • Your LinkedIn profile URL
  • A phone number where we can reach you

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

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