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Developer Manager Jobs in Columbus, OH (NOW HIRING)

BrightView

Business Developer

Columbus, OH · On-site

The Business Developer manages the sales pipeline from prospecting to closing and is responsible for full cycle landscape and, depending on region, snow sales. The Business Developer collaborates and ...

Socket.dev

Software Engineering Manager

Columbus, OH · On-site

$110 - $150/hr

Accountable for leading and managing a team of software engineers across multiple delivery teams ... Experience in DevOps practices, including continuous integration/continuous delivery (CI/CD ...

New

Loop

Engineering Manager, Support & Stability

Columbus, OH · On-site +1

$150K - $190K/yr

About the Role Loop is looking for an Engineering Manager to lead our newly formed Support & Stability team. This team is the steward of the most critical, highest-risk domains in our application ...

Loop

Engineering Manager, Support & Stability

Columbus, OH · Remote

$150K - $190K/yr

About the Role Loop is looking for an Engineering Manager to lead our newly formed Support & Stability team. This team is the steward of the most critical, highest-risk domains in our application ...

OhioHealth

Manager Clinical Engineering

Columbus, OH · On-site

The Manager of Clinical Engineering is responsible for overseeing and directing the operations of the Clinical Engineering Service for all Central Ohio entities of OhioHealth. In addition, he/she ...

HDR

Structures Section Manager

Columbus, OH · On-site

They will function as a Project Manager or Project Engineer on large / complex infrastructure projects. They will be involved in business development planning, client management, proposal preparation ...

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Developer Manager information

See Columbus, OH salary details

$23.7K

$57.5K

$112K

How much do developer manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for developer manager in Columbus, OH is $57,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,600.00 and $66,200.00 per year, depending on experience, location, and employer.

What is the difference between Developer Manager vs Software Engineer?

AspectDeveloper ManagerSoftware Engineer
CredentialsBachelor's or higher in CS or related field; management experience often preferredBachelor's or higher in CS or related field; strong coding skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, testing, and developing software solutions
Industry UsageCommon in tech companies, startups, and software firmsWidespread across tech, finance, healthcare, and other industries

The main difference is that a Developer Manager oversees development teams and manages projects, while a Software Engineer primarily focuses on coding and technical tasks. Developer Managers handle team coordination and strategic planning, whereas Software Engineers concentrate on building software solutions.

What are the key skills and qualifications needed to thrive as a developer manager?

To thrive as a Developer Manager, you need a deep understanding of software development principles, project management, and several years of experience in coding and leading teams. Familiarity with tools such as Jira, Git, CI/CD pipelines, and certifications in Agile or Scrum methodologies are often required. Strong leadership, effective communication, and problem-solving skills help motivate teams and facilitate collaboration. These competencies are crucial for delivering high-quality software solutions on time while fostering a productive and positive development environment.

What are some common challenges developer managers face when balancing team productivity with individual growth?

Developer Managers often find it challenging to simultaneously meet project deadlines and foster individual team member growth. Balancing the delivery of high-quality software with providing mentorship, career development opportunities, and regular feedback can require careful planning and prioritization. These managers typically address this by establishing clear communication channels, setting realistic expectations, and allocating time for one-on-one meetings to support both team and personal development goals.

What is a developer manager?

Developer Managers are professionals who oversee software development teams, ensuring that projects are completed on time and meet quality standards. They act as a bridge between developers and upper management, handling tasks such as project planning, team coordination, and performance evaluations. Developer Managers also mentor team members, help resolve technical challenges, and align development work with business goals. Their role is crucial for fostering a productive and collaborative work environment in software organizations.
What are the most commonly searched types of Developer jobs in Columbus, OH? The most popular types of Developer jobs in Columbus, OH are:
What are popular job titles related to Developer Manager jobs in Columbus, OH? For Developer Manager jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Developer Manager jobs in Columbus, OH look for? The top searched job categories for Developer Manager jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Developer Manager jobs? Cities near Columbus, OH with the most Developer Manager job openings:
Developer Manager jobs near you
Infographic showing various Developer Manager job openings in Columbus, OH as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $57,495 per year, or $27.6 per hour.

Cyber Identity - FDE Engineering Manager

Deloitte

Columbus, OH

Full-time

Re-posted 19 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

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