1

Cognitive Systems Engineer Jobs in Ohio (NOW HIRING)

Site Reliability Engineer II

Plain City, OH

$56.25 - $74.75/hr

Kastle Systems is the leader in managed security, with a track record of introducing innovative ... Establish and maintain runbooks, dashboards, and alerting policies that reduce cognitive overhead ...

$90 - $130/hr

Automate workflows by leveraging existing APIs of the Blue Yonder cognitive platform * Working in ... Experience with version control systems (git) * Knowledge of SQL and database technologies, for ...

New

$94K - $141K/yr

Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to ... Windows Server Administrator (level 2): Bachelor's degree in a Science, Technology, Engineering or ...

$75K - $113K/yr

Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to ... A Bachelor's degree in a Science, Technology, Engineering or Math discipline with 0 years of ...

$74.22 - $111.90/hr

Your mission & challenges As a hands‑on Electrical Engineer, you will bridge the gap between ... technology, and testing systems of our cognitive and humanoid robots, as well as all ...

New

Take complex, undefined problems, structure the approach, design the system, and ship the solution ... Create the architectural patterns, reusable components, and design instincts that reduce cognitive ...

$120 - $160/hr

... NEURA Robotics' cognitive mobile robot platform. You will be responsible for the mechanical ... Experience developing complex electromechanical systems * Strong expertise in mechanical design ...

Showing results 41-60

Cognitive Systems Engineer information

What is a cognitive systems engineer?

Cognitive systems engineers are professionals who design and optimize complex systems by focusing on how humans interact with technology. They analyze human cognitive processes—such as perception, memory, and decision-making—to create systems that support users in performing tasks efficiently and safely. Cognitive systems engineers often work in fields like aviation, healthcare, and industrial automation to ensure that technology complements human abilities and reduces the risk of errors. Their work bridges psychology, engineering, and human-computer interaction.

What are the key skills and qualifications needed to thrive as a cognitive systems engineer?

To thrive as a Cognitive Systems Engineer, you need expertise in human factors engineering, systems design, cognitive psychology, and often a relevant engineering or science degree. Familiarity with modeling tools, human-computer interaction software, and systems analysis platforms is typically required, along with certifications like CPE (Certified Professional Ergonomist) being advantageous. Strong analytical thinking, problem-solving, and communication skills help professionals collaborate with multidisciplinary teams and stakeholders. These abilities ensure engineered systems are user-friendly, optimize human-machine interaction, and support effective decision-making in complex environments.

How do cognitive systems engineers typically collaborate with multidisciplinary teams on complex projects?

Cognitive Systems Engineers often work closely with professionals from software development, human factors, data science, and domain-specific experts to design intuitive, human-centered systems. Collaboration usually involves regular meetings, joint requirements gathering, and iterative prototyping to ensure that technical solutions align with user needs and real-world workflows. Effective communication skills are crucial, as you’ll need to translate complex cognitive principles into actionable design recommendations for team members with varied backgrounds. This multidisciplinary approach fosters innovation and ensures robust, user-friendly system designs.

What does a cognitive systems engineer do?

A cognitive systems engineer designs, develops, and evaluates systems that mimic human cognition, such as artificial intelligence and machine learning applications. They analyze human interaction with technology, often using tools like data analysis and modeling, to improve system performance and usability. This role typically requires knowledge of cognitive science, engineering principles, and programming skills.

What are popular job titles related to Cognitive Systems Engineer jobs in Ohio?

For Cognitive Systems Engineer jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Cognitive Systems Engineer jobs?

Cities in Ohio with the most Cognitive Systems Engineer job openings:

Infographic showing various Cognitive Systems Engineer job openings in Ohio as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Site Reliability Engineer II

Kastle Systems

Plain City, OH

$56.25 - $74.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 18 days ago


Kastle Systems rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

3rd of 117 rated security


Job description

Overview

Join the leader in providing smarter solutions for a safer world.

The property technology space is growing rapidly, and Kastle Systems is leading the way. Kastle Systems is the leader in managed security, with a track record of introducing innovative technologies to serve over 460M square feet of real estate globally. Clients span the commercial and multifamily real estate, education, and construction industries and the customers they serve. Delivering a world class customer experience drives everything we do, and Kastle’s mission is to be our customers’ best service provider and to ensure that their security the most effective, efficient and convenient. Kastle's integrated security solution, including access control, video, and remote video monitoring, significantly reduces costs and improves the critically important 24x7 performance for building owners, developers and tenants.

Site Reliability Engineer II

The SRE II sits at the intersection of software engineering and platform operations. You will own the reliability, scalability, and operational hygiene of Kastle’s core infrastructure – engineering away toil, hardening deployment pipelines, and partnering with product engineering teams to make new services production-ready from day one.

This is a mid-level individual contributor role. You are expected to execute technical work independently, drive reliability improvements end-to-end, and participate meaningfully in architecture discussions. You will carry on-call responsibilities as part of a shared rotation with a well-defined escalation model and a strong blameless post-incident review culture.

The team is in the middle of a meaningful platform evolution: formalizing multi-tier release pipelines (Dev → QA → Integration → UAT → Prod) with ArgoCD-based approval gates, building out SLI/SLO frameworks, and migrating toward full GitOps. You will be a hands-on contributor to all of it.

Key Responsibilities:Release Engineering & GitOps
  • Own and evolve the multi-stage deployment pipeline using ArgoCD, including approval gates, promotion policies, and rollback mechanisms.
  • Maintain trunk-based branching discipline and enforce release governance standards across the engineering organization.
  • Manage feature flag lifecycle – from creation and gradual rollout to deprecation – in coordination with product and QA teams.
  • Build and maintain CI/CD pipelines that enable safe, frequent, and auditable deployments.
Infrastructure as Code & Cloud Operations
  • Provision and manage Azure infrastructure using Terraform or OpenTofu, maintaining drift-free state aligned with GitOps principles.
  • Own Kubernetes cluster operations including workload scheduling, resource optimization, RBAC, network policy, and cost governance.
  • Identify and act on infrastructure cost optimization opportunities (compute rightsizing, storage tier selection, idle resource elimination).
  • Support Crossplane or similar operator patterns for Kubernetes-native infrastructure management where applicable.
Reliability & Observability
  • Define, instrument, and enforce SLIs and SLOs in partnership with product engineering teams.
  • Build and maintain observability infrastructure – metrics, logs, and distributed traces – using Prometheus, Grafana, OpenTelemetry, or equivalent tooling.
  • Conduct proactive capacity planning and performance tuning across multi-tenant, distributed environments.
  • Establish and maintain runbooks, dashboards, and alerting policies that reduce cognitive overhead during incidents.
Incident Management
  • Participate in shared on-call rotation covering core platform and infrastructure services; on-call load is balanced across the team with structured handoff practices.
  • Lead mitigation of live production incidents with a focus on minimizing MTTR and clear stakeholder communication under pressure.
  • Facilitate blameless post-incident reviews and drive preventative engineering to closure – not just documentation.
Engineering Partnership
  • Embed with product engineering teams during design and architecture phases to establish reliability, scalability, and security requirements before code is written.
  • Maintain clear, comprehensive documentation for infrastructure architecture, operational procedures, and onboarding guides.
  • Push back constructively when proposed designs compromise reliability or operability, proposing alternatives rather than just raising concerns.

In addition to a great work environment, we provide excellent benefits (Medical/Dental/Vision, 401K, Tuition/Training Assistance, BrightHorizons Lifestyle Assistance, Wellness Program, etc.) and we're proud to be a Certified Great Place to Work! For more information about what it's like to work with us, please visit Kastle Careers.


Responsibilities
  • Experience: 4–6 years in an SRE, Platform Engineering, or Infrastructure Engineering role, with demonstrated ownership of production systems.
  • Cloud – Azure: Hands-on experience managing production infrastructure in Azure: AKS, Azure Container Registry, Azure Monitor, Cosmos DB, Key Vault, Azure Front Door, or equivalent services. AWS/GCP backgrounds considered with clear willingness to operate in Azure.
  • Kubernetes: Deep operational experience with Kubernetes in production: resource management, network policies, RBAC, HPA/VPA, persistent volumes, and debugging live workload issues.
  • GitOps & Release Tooling: Experience with ArgoCD, Flux, or equivalent GitOps deployment tools. Familiarity with multi-stage progressive delivery and approval gate patterns is a strong plus.
  • Infrastructure as Code: Proven track record with Terraform, OpenTofu, or Pulumi in a production GitOps context – not just writing HCL, but maintaining drift-free state and managing state backends safely.
  • Observability: Hands-on configuration of Prometheus, Grafana, OpenTelemetry, and/or ELK/OpenSearch. Ability to go from symptom to instrumentation to dashboard without hand-holding.
  • Programming & Scripting: Proficiency in Python or Go for automation and tooling; strong Bash scripting. Ability to read and reason about application code when debugging production issues. Proficiency in C# and SQL for reviewing deliverables and participating in triage.
  • Linux & Networking: Solid understanding of Linux internals, TCP/IP, DNS, TLS, and HTTP semantics. Comfortable debugging at the network and OS layer.

Qualifications
  • Experience with Crossplane or other Kubernetes-native infrastructure operators.
  • Familiarity with feature flag platforms (LaunchDarkly, Flagsmith, or similar) and gradual rollout strategies.
  • Background in IoT, physical security, access control, or other latency-sensitive, event-driven domains.
  • Comfort with async collaboration across distributed time zones (US + India team structure).
  • Experience with AI-assisted development tooling and an appetite to incorporate it into engineering workflows.
  • Knowledge of CMMC 2.0, SOC 2, or FedRAMP compliance postures as they apply to infrastructure and access control.

Equal Opportunity Statement

At Kastle, we believe that diversity makes us stronger -  at work and in the world.  Kastle Systems International, LLC is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, marital status, pregnancy or any other basis protected by applicable federal or state laws.

Qualifications:
  • Experience with Crossplane or other Kubernetes-native infrastructure operators.
  • Familiarity with feature flag platforms (LaunchDarkly, Flagsmith, or similar) and gradual rollout strategies.
  • Background in IoT, physical security, access control, or other latency-sensitive, event-driven domains.
  • Comfort with async collaboration across distributed time zones (US + India team structure).
  • Experience with AI-assisted development tooling and an appetite to incorporate it into engineering workflows.
  • Knowledge of CMMC 2.0, SOC 2, or FedRAMP compliance postures as they apply to infrastructure and access control.
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

What Kastle Systems employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom