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Senior Security Engineer Jobs in Springfield, IL

Eaton Aerospace

Senior Manufacturing Engineer

Lincoln, IL · On-site

$86K - $126K/yr

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This ... and data security will be protected in accordance with applicable laws. We are committed to ...

Eaton

Senior Manufacturing Engineer

Lincoln, IL · On-site

$86K - $126K/yr

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This ... and data security will be protected in accordance with applicable laws. We are committed to ...

Eaton

Senior Mechanical Design Engineer

Lincoln, IL · On-site

$86K - $126K/yr

Eaton's ES AMER ARS division is currently seeking a Senior Mechanical Design Engineer. This is an ... and data security will be protected in accordance with applicable laws. We are committed to ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation ... security). * Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and ...

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All JobsSecurity Engineer JobsSenior Security Engineer JobsSenior Security Engineer Jobs in Springfield, IL

Senior Security Engineer information

See Springfield, IL salary details

$72.8K

$135.9K

$184.8K

How much do senior security engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior security engineer in Springfield, IL is $135,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $155,600.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a senior security engineer?

To thrive as a Senior Security Engineer, you need deep expertise in network security, risk assessment, incident response, and a relevant degree or equivalent experience. Familiarity with security tools such as SIEM platforms, firewalls, IDS/IPS, and certifications like CISSP or CEH are typically required. Strong analytical thinking, effective communication, and leadership abilities help you excel in complex security environments. These skills and qualifications are crucial to safeguard organizational assets and maintain robust defense against evolving cyber threats.

How does a senior security engineer collaborate with other departments to enhance organizational security?

Senior Security Engineers frequently work cross-functionally, partnering with IT, software development, and compliance teams to implement security best practices and respond to incidents. They play a key role in conducting security reviews, advising on secure design, and leading incident response efforts. Effective communication and collaboration are essential, as these engineers often translate technical risks into business terms and provide guidance during audits or vulnerability assessments. This collaborative approach helps ensure comprehensive protection across all organizational assets.

What is the difference between Senior Security Engineer vs Security Analyst?

AspectSenior Security EngineerSecurity Analyst
Required CredentialsCertifications like CISSP, CISA, CEH; Bachelor's or Master's in Cybersecurity or related fieldsCertifications like CompTIA Security+, GIAC Security Essentials; Bachelor's in Cybersecurity, Information Technology, or related fields
Work EnvironmentDesigning security systems, implementing security measures, leading security projectsMonitoring security alerts, analyzing threats, conducting security assessments
Employer & Industry UsageUsed in tech companies, finance, healthcare for security infrastructure rolesCommon in various industries for threat detection and incident response

The main difference is that Senior Security Engineers focus on designing and implementing security solutions, while Security Analysts primarily monitor and analyze security threats. Both roles require relevant certifications and work in similar environments, but their responsibilities differ in scope and focus.

What are popular job titles related to Senior Security Engineer jobs in Springfield, IL?

For Senior Security Engineer jobs in Springfield, IL, the most frequently searched job titles are:

What cities near Springfield, IL are hiring for Senior Security Engineer jobs?

Cities near Springfield, IL with the most Senior Security Engineer job openings:

Senior Security Engineer jobs near you

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Springfield, IL • On-site

$150 - $210/hr

Other

Re-posted 4 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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