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Infrastructure Software Engineer Jobs in Ohio (NOW HIRING)

Software Engineering Job Type: Contractor (10-15 hours per week) Location: Remote Job Summary: We ... infrastructure-related problems. On this project, you will be creating Reinforcement Learning ...

... coaches Software Developers on development skills across multiple disciplines and execution ... service infrastructure • Familiarity with developing scalable domain-specific languages and ...

Staff Software Engineer

Columbus, OH · On-site

$164K - $205K/yr

We are seeking a Staff Software Engineer to partner closely with product, design, and engineering ... Infrastructure-as-code and CI/CD tooling skills (Preferred) * Ability to independently lead complex ...

... architecture, infrastructure operations, cyber security, data, and others to implement ... Previous work experience as Software engineer with 2-4 years' experience is preferred. * Strong ...

Senior Software Engineer

Cincinnati, OH · On-site +1

$117K - $154K/yr

... Infrastructure as a Code (Terraform), containerization (Docker, Kubernetes), CI/CD (Jenkins, Circle CI), and operational tools (ServiceNow, DataDog) Excellent communication and collaboration skills ...

... tools and infrastructure. Work ranges from early technology development through New Product ... Apply software engineering best practices and (where applicable) control and systems engineering ...

Senior Software Engineer

Mentor, OH · On-site

$109K - $144K/yr

Position Summary The Senior Software Engineer is an experienced individual contributor who works ... Contribute to DevOps, CI/CD, infrastructure-as-code, and observability practices. * Develop and ...

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Showing results 1-20

Infrastructure Software Engineer information

See Ohio salary details

$109.8K

$171.4K

$196.3K

How much do infrastructure software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for infrastructure software engineer in Ohio is $171,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $164,500.00 and $194,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Infrastructure Software Engineer position, and why are they important?

To thrive as an Infrastructure Software Engineer, you need a deep understanding of computer systems, networking, cloud infrastructure, and proficiency in programming languages such as Python, Go, or Java. Experience with infrastructure automation tools (like Terraform, Ansible, or Kubernetes), cloud platforms (AWS, Azure, GCP), and possibly certifications such as AWS Certified Solutions Architect are highly valuable. Effective collaboration, problem-solving abilities, and strong communication skills help you excel in cross-functional teams and fast-paced environments. These skills are critical to building scalable, reliable systems and ensuring seamless deployment and maintenance of company infrastructure.

What does an Infrastructure Software Engineer do?

An Infrastructure Software Engineer designs, builds, and maintains the foundational software systems that support applications, networking, and cloud environments. They focus on scalability, reliability, and performance by developing automation tools, managing CI/CD pipelines, and optimizing infrastructure. Their work ensures systems run efficiently, securely, and with minimal downtime.

What are the typical day-to-day responsibilities of an Infrastructure Software Engineer?

As an Infrastructure Software Engineer, your typical day involves designing, implementing, and maintaining automation workflows for infrastructure deployment, monitoring system performance, and responding to incidents or outages. You'll work closely with development, DevOps, and IT teams to ensure infrastructure scalability, reliability, and security. Regular tasks may include writing scripts, managing cloud resources, evaluating new tools, and participating in on-call rotations. Collaboration and proactive problem-solving are central to meeting both technical and business needs efficiently. This role offers a dynamic blend of hands-on technical work and teamwork in evolving environments.

What are the most commonly searched types of Infrastructure Software Engineer jobs in Ohio? The most popular types of Infrastructure Software Engineer jobs in Ohio are:
What job categories do people searching Infrastructure Software Engineer jobs in Ohio look for? The top searched job categories for Infrastructure Software Engineer jobs in Ohio are:
What are popular job titles related to Infrastructure Software Engineer jobs in OH? For Infrastructure Software Engineer jobs in OH, the most frequently searched job titles are:
Distinguished AI Software Engineer

Distinguished AI Software Engineer

Frontier Technology Inc.

Dayton, OH • On-site

Full-time

Posted 5 days ago


Job description

FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

FTI Defense is seeking a Distinguished AI Software Engineering Lead to serve as both a hands-on architect and integrator for mission-critical software and data platforms. This role is designed for a player-coach—someone who provides technical vision, architectural oversight, and mentoring, while contributing directly to the design and development of secure, scalable, and modernized solutions. The Distinguished Engineer will act as the connective tissue between software execution teams, product and solution management, and business development, ensuring solutions are scalable, secure, and aligned with long-term innovation goals.


  • Architecture & Systems Integration
    • Architect and deploy secure, distributed platforms supporting modular, multi-service software environments.
    • Design and integrate APIs, microservices, and data pipelines that enable interoperability across mission, simulation, and analytical systems.
    • Define and enforce architectural principles, modularity standards, and software best practices across development teams.
    • Engineer solutions that bridge cloud, on-prem, and classified enclaves, ensuring interoperability and compliance.
  • Cloud Engineering & DevSecOps
    • Engineer cloud-native solutions in AWS GovCloud or hybrid IL4–IL6 environments with strict security and accreditation requirements.
    • Implement Infrastructure-as-Code (Terraform, CloudFormation, or CDK) to automate provisioning, configuration, and accreditation workflows.
    • Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment.
    • Ensure all platform designs support zero-trust principles, multi-enclave deployment, and repeatable accreditation (ATO) processes.
  • Data Infrastructure & Orchestration
    • Design or oversee large-scale data ingestion, transformation, and orchestration environments (Kafka, Airflow, Spark, or Databricks).
    • Shape data architectures that balance throughput, latency, and cost across distributed mission environments.
    • Enable secure and efficient data access and synchronization across analytical, AI-enabled, and simulation workloads.
  • Automation, Operationalization & Sustainment
    • Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency.
    • Establish automated testing, release governance, and performance monitoring standards for ongoing sustainment.
    • Partner with program and product leadership to align delivery with mission lifecycle requirements.
  • Security & Resilience
    • Engineer architectures for redundancy and resilience under degraded or disconnected operational conditions.
    • Design and maintain secure enclave architectures, boundary controls, and cross-domain integration solutions.
    • Collaborate with cybersecurity and ISSM teams to support ATO and ongoing accreditation automation.
  • Innovation & Ecosystem Integration
    • Integrate emerging technologies, open standards, and modern frameworks into operational systems.
    • Collaborate with AI/ML, data, and simulation teams to enable model integration and inference services within production software (familiarity with MLOps concepts preferred).
    • Evaluate new tools and frameworks to improve developer productivity, performance, and automation efficiency.
  • Leadership & Mentorship
    • Lead by example as a hands-on technical authority, guiding design and implementation decisions.
    • Mentor software engineers and architects to raise technical standards, code quality, and architectural maturity.
    • Partner with fellow Distinguished Engineers and organizational leaders to align platform strategy with enterprise innovation goals.
    • Communicate complex technical concepts clearly to both executive and engineering stakeholders.

**Preferring candidates close to Dayton OH, Chesapeake VA, Huntsville AL, or Colorado Springs CO. Or willing to travel to these locations and customer sites, as needed.

Required:

  • Active Secret clearance required; TS/SCI strongly preferred.
  • Bachelor’s degree in Computer Science, Software Engineering, or related technical field (Master’s preferred).
  • 10–15 years of progressive software engineering experience, with at least 5 years in a technical leadership or architecture role.
  • Proven success architecting and deploying secure, distributed, cloud-native software platforms.
  • Deep experience with AWS GovCloud or IL4–IL6 hybrid environments.
  • Hands-on proficiency with Infrastructure-as-Code (Terraform, CloudFormation, or CDK) and CI/CD automation.
  • Strong understanding of DevSecOps, zero-trust principles, and mission accreditation (ATO/RMF) processes.
  • Demonstrated ability to operationalize software systems from prototype through accreditation in secure environments.
  • Strong coding experience in one or more core languages (Python, Java, C++, TypeScript).

Desired:

  • Experience developing developer-facing APIs, SDKs, or enablement platforms for enterprise-scale interoperability.
  • Familiarity with containerization and orchestration (Docker, Kubernetes, ArgoCD, or Rancher).
  • Awareness of MLOps and AI solution integration practices — capable of collaborating with AI/ML teams on model deployment and sustainment.
  • Proven ability to mentor engineers and influence enterprise-level software design decisions.
  • Recognized for contributions advancing automation, performance, and platform modernization within secure environments.
  • Comfortable balancing architecture, coding, and stakeholder engagement in fast-paced mission contexts.

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