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Encryption Jobs in Ohio (NOW HIRING)

Cloud Computing Architect

Dayton, OH · On-site

$112K - $257K/yr

Lead the design of secure, scalable, resilient, and supportable cloud architectures encompassing landing zones, identity and access management, networking, compute, storage, encryption, logging ...

Cloud Architect

Fairborn, OH

$61.50 - $78.25/hr

Implement secure solutions using advanced IAM (Identity and Access Management), encryption, Zero Trust Architecture, and multi-factor authentication (MFA). * Scalability and High Availability: Design ...

Showing results 41-60

Encryption information

See Ohio salary details

$13

$25

$38

How much do encryption jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for encryption in Ohio is $25.30, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $29.04 per hour, depending on experience, location, and employer.

What is an encryption specialist?

Encryption specialists are professionals who focus on protecting information by converting data into secure formats that can only be accessed by authorized individuals. They design, implement, and manage encryption protocols to safeguard sensitive information, such as financial records, personal data, and confidential communications. These specialists play a crucial role in cybersecurity by preventing unauthorized access, data breaches, and cyberattacks. Their expertise is essential for organizations that handle confidential information and need to comply with data protection regulations.

What are some of the most common challenges faced by professionals working in encryption roles?

Professionals in encryption roles often face challenges such as staying up-to-date with rapidly evolving cryptographic standards and threats, ensuring secure key management, and balancing security requirements with system performance. Collaboration with cross-functional teams is essential, as encryption specialists must work closely with software developers, IT administrators, and compliance officers to implement secure solutions. Additionally, translating complex encryption concepts into practical, user-friendly implementations can be demanding, especially when supporting non-technical stakeholders.

What are the key skills and qualifications needed to thrive as an encryption specialist, and why are they important?

To thrive as an Encryption Specialist, you need a solid background in computer science, cryptography, and information security, often supported by a relevant degree or industry certifications like CISSP or CEH. Expertise in encryption algorithms, cryptographic protocols, and security tools such as OpenSSL, GnuPG, and PKI systems is typically required. Strong analytical thinking, attention to detail, and problem-solving skills set top professionals apart in this field. These skills and qualities are crucial for ensuring data confidentiality, integrity, and compliance with security standards in organizations.

What is the difference between Encryption vs Network Security Specialist?

AspectEncryptionNetwork Security Specialist
Primary FocusSecuring data through cryptographic methodsProtecting entire network infrastructure from threats
Required SkillsCryptography, algorithms, key managementFirewall configuration, intrusion detection, security protocols
CertificationsCertified Encryption Specialist, CISSPCISSP, CompTIA Security+
Work EnvironmentIT security teams, cybersecurity firmsNetwork operations centers, corporate IT departments

Encryption focuses on protecting data through cryptography, while Network Security Specialists oversee the broader security of network systems. Both roles are essential in cybersecurity but differ in scope and daily tasks.

What are popular job titles related to Encryption jobs in Ohio?

For Encryption jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Encryption jobs?

Cities in Ohio with the most Encryption job openings:

Infographic showing various Encryption job openings in Ohio as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 75% Physical, 7% Hybrid, and 18% Remote job distribution, with an average salary of $52,624 per year, or $25.3 per hour.

Lead Software Engineer (Java/Spring and Python) - Data Protection & Recovery

JPMorgan Chase & Co.

Columbus, OH • On-site

$120 - $180/hr

Other

Posted 26 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

Push the limits ofwhat’spossible with us as an experienced member of our Software Engineering team.

As a Lead Software Engineer at JPMorgan Chase within the Enterprise Technology Data Protection & Recovery product line, you will be an essential member of an agile team dedicated to enhancing, building, and delivering trusted,market leadingtechnology products in a secure, stable, and scalable manner. Your role will involve promoting significant business impact through your skills and contributions,utilizingyour deep technicalexpertiseandproblem solvingmethodologies to address a wide range of challenges across technologies and applications. You will collaborate with global product and engineering teams and platform stakeholders to deliver resilient, efficient, and innovative solutions that advance the firm’s strategicobjectives.

Job Responsibilities
  • Providehands ontechnical leadership and guidance across teams; serve asfunction widesubject matter expert in resiliency and recovery observability.
  • Ownend to endarchitecture for critical Java services: define domain boundaries, API contracts, event schemas, andcross-servicestandards; steward architectural decision records.
  • Design, develop, and review secure,high qualityproduction code in Java; debug complex issues; mentor engineers through code reviews and technical coaching.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Build and orchestrate Agentic AI capabilities that automate and execute complex actions within enterprise SAP processes.
  • Drive resilient service design: drive and manageavailabilitySLOs, latency budgets, and error budgets.
  • Partner with the engineeringleadthe secure SDLC: conduct threat modeling; integrate SAST/DAST and dependency risk management; ensure encryption in transit/at rest and robust secrets hygiene; overseeauthN/authZpatterns.
  • Champion observability and SRE practices: instrument metrics/logs/traces; design actionable alerts; author runbooks; lead incident response, blameless postmortems, and continuous reliability improvements.
  • Advance data protection and recovery capabilities:maintainevidence chain of custody and immutable operation, restore validation exercises and auditability.
  • Enhance existing systems by analyzingobjectives, preparing action plans, andidentifyingopportunities for performance, reliability, and operability improvements.
  • Help support CI/CD quality within the product line, partnering with the engineering and product teams: codify automated tests (unit, integration, contract, performance), coverage targets, pipeline quality gates, and progressive delivery (canary/blue-green) with rollback plans.
  • Contribute to the engineering community as an advocate of firmwide frameworks, tools, and best practices; add to team culture by fostering diversity, inclusion, and respect.
  • Support critical environments (Development, QA, Simulation, Production) and leadon-callobligations for owned services, ensuring operational stability andtimelyresolution of incidents.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 8+ of experience with an expert level Javaproficiency, including collections, concurrency, memory management, and performance tuning; experience with profiling tools. Able to walk through applied examples designing andoperatingdistributed Java systems.
  • Strong experience with Spring Boot andmicroservices; APIfocusedevent drivendesign and idempotency; schema evolution and compatibility.
  • Expert-level experiencing designing and implementing Python-based microservices.
  • Deep knowledge of resiliency engineering patterns and disaster recoveryobjectives(RTO/RPO) withhands onpractice running DR tests and chaos/resilience exercises.
  • Secure SDLCexpertise: threat modeling, SAST/DAST integration, dependency risk/SBOM management, secrets handling, encryption standards, and robust authentication/authorization.
  • Streaming and messaging: practical experience with Kafka (topic design, partitioning, consumer group scaling, transactional/exactly-oncesemantics) and other messaging platforms asrequired.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Observability: instrumentation of metrics/logs/traces, alerting design, runbooks, incident management, and postmortems.
  • DevOps/SDLC:proficiencywith build tools, CI/CD systems, and version control (Git) with automated pipeline governance.
  • Cloud-hybriddelivery: containers and orchestration, infrastructure as code,multi-AZ/region architectures, andcost efficientscalability;hands onexperience with AWS and awareness of other cloud providers.
  • Ability to independently tackle complex design and functionality problems with minimal oversight; excellent technical communication and mentoring skills.
Preferred qualifications, capabilities, and skills
  • Experience with service mesh, API gateways, and contract governance at scale.
  • Familiarity with modernfrontendtechnologies for internal tooling or dashboards.
  • Proficiencyin one or moreadditionalprogramming languages (e.g., Python) for API delivery and management, tooling, automation, or data tasks as well as partnering with other delivery teams.
  • Experienceestablishingengineering standards across multiple teams and leading technical working groups.
  • Knowledge of UNIX/Linux and shell scripting for operational tooling and automation.
Leadership and collaboration expectations
  • Act as a trusted technical leader across regions, influencing peers and decisionmakers to adoptleading edgetechnologies and best practices in resilience and security.
  • Mentor engineers at multiple levels, elevate code quality and design rigor, and contribute to internal forums and tech talks todisseminatebest practices.
  • Build strong working relationships with platform partners across Product Development, Operations, Risk/Controls, and other firmwide functions to deliver competitive, scalable solutions.
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