Cloud Engineer Jobs in Columbus, OH
Cloud Engineer jobs in Columbus, Ohio are concentrated in the Short North tech corridor, the Arena District, and the growing Easton area, with strong demand from financial services, healthcare IT, and enterprise software firms. Employers hiring right now include JPMorganChase, NiSource, and OnTrac. See the openings below and apply to the ones that match your experience.
Find Cloud Engineer JobsOverview
Showing 5 of 46+ Cloud Engineer jobs
Bring your expertise to a team modernizing large-scale data processing platforms and engineering practices. You will help us accelerate our cloud adoption, improve how data products are built and operated, and raise the bar on quality, reliability, and delivery velocity through strong software engineering discipline.
As a Lead Software Engineer at JPMorganChase within Corporate Technology on a data processing engineering team, you will drive end-to-end delivery of modern data solutions and platform modernization across private cloud and Amazon Web Services (AWS). You will partner with stakeholders across technology and the business to solve complex data processing problems with scalable, resilient engineering.
Job Responsibilities
- Lead design and delivery of data processing solutions, translating complex requirements into secure, scalable, and maintainable software.
- Drive architecture and design decisions across application, data, and infrastructure layers to improve platform performance, reliability, and extensibility.
- Modernize existing workloads and pipelines, accelerating adoption of cloud-native patterns and services across private cloud and Amazon Web Services (AWS).
- Build and enhance extract, transform, load (ETL) and event-driven data processing capabilities, improving throughput, data quality, and observability.
- Partner with product, data, and engineering stakeholders to align on outcomes, delivery plans, and measurable success criteria.
- Improve engineering excellence through code quality, automated testing, peer reviews, documentation, and operational readiness practices.
- Mentor engineers and contribute to a collaborative culture focused on learning, experimentation, and continuous improvement.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Apply 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.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Hands-on experience with system design, application development, testing, and operational stability in a large-scale environment.
- Proficiency in at least one modern programming language (e.g., Python or Java) and experience developing, debugging, and maintaining production code.
- Experience building data processing solutions, including extract, transform, load (ETL) development and data pipeline lifecycle management (design, build, test, deploy, maintain).
- Hands-on experience with Amazon Web Services (AWS) services and cloud delivery practices, including infrastructure as code (e.g., Terraform) and services such as Amazon Simple Storage Service (Amazon S3), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon EMR.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Strong understanding of Agile delivery practices and the software development life cycle.
- 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.
Preferred Qualifications, Capabilities, and Skills
- Experience with distributed data processing using Spark and modern data platforms (e.g., Databricks).
- Advanced proficiency in Python and/or Java for data engineering and platform development.
- Experience with relational databases (e.g., Oracle) and/or cloud data platforms, including performance tuning and query optimization.
- Strong analytical skills to support data understanding, quality investigation, and reporting use cases.
- Knowledge of banking and financial services domain concepts relevant to data processing and reporting.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Bring your expertise to a team modernizing large-scale data processing platforms and engineering practices. You will help us accelerate our cloud adoption, improve how data products are built and operated, and raise the bar on quality, reliability, and delivery velocity through strong software engineering discipline.
As a Lead Software Engineer at JPMorganChase within Corporate Technology on a data processing engineering team, you will drive end-to-end delivery of modern data solutions and platform modernization across private cloud and Amazon Web Services (AWS). You will partner with stakeholders across technology and the business to solve complex data processing problems with scalable, resilient engineering.
Job Responsibilities
- Lead design and delivery of data processing solutions, translating complex requirements into secure, scalable, and maintainable software.
- Drive architecture and design decisions across application, data, and infrastructure layers to improve platform performance, reliability, and extensibility.
- Modernize existing workloads and pipelines, accelerating adoption of cloud-native patterns and services across private cloud and Amazon Web Services (AWS).
- Build and enhance extract, transform, load (ETL) and event-driven data processing capabilities, improving throughput, data quality, and observability.
- Partner with product, data, and engineering stakeholders to align on outcomes, delivery plans, and measurable success criteria.
- Improve engineering excellence through code quality, automated testing, peer reviews, documentation, and operational readiness practices.
- Mentor engineers and contribute to a collaborative culture focused on learning, experimentation, and continuous improvement.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Apply 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.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Hands-on experience with system design, application development, testing, and operational stability in a large-scale environment.
- Proficiency in at least one modern programming language (e.g., Python or Java) and experience developing, debugging, and maintaining production code.
- Experience building data processing solutions, including extract, transform, load (ETL) development and data pipeline lifecycle management (design, build, test, deploy, maintain).
- Hands-on experience with Amazon Web Services (AWS) services and cloud delivery practices, including infrastructure as code (e.g., Terraform) and services such as Amazon Simple Storage Service (Amazon S3), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon EMR.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Strong understanding of Agile delivery practices and the software development life cycle.
- 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.
Preferred Qualifications, Capabilities, and Skills
- Experience with distributed data processing using Spark and modern data platforms (e.g., Databricks).
- Advanced proficiency in Python and/or Java for data engineering and platform development.
- Experience with relational databases (e.g., Oracle) and/or cloud data platforms, including performance tuning and query optimization.
- Strong analytical skills to support data understanding, quality investigation, and reporting use cases.
- Knowledge of banking and financial services domain concepts relevant to data processing and reporting.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 46 Cloud Engineer Jobs in Columbus
Find roles in Columbus that match your experience and apply in just a few clicks.
Find Cloud Engineer JobsCloud Engineer Job Market in Columbus
Who's Hiring
- JPMorganChase14
- NiSource9N
- OnTrac5
- Safelite5
- The Hartford5
Top Industries Hiring
- Insurance
- Automotive
- Banking & Financial Services
Cloud Engineer Jobs in Columbus: Frequently Asked Questions
How do I get a cloud engineer job in Columbus?
Focus your search on Columbus's three strongest hiring clusters: financial services firms around the downtown core, healthcare technology companies in the Medical Center District, and enterprise software employers in the Easton and Polaris corridors. Certifications in AWS, Azure, or Google Cloud carry real weight here, and hands-on experience with infrastructure automation tools like Terraform or Kubernetes consistently separates candidates in a competitive local market.
Which companies hire cloud engineers in Columbus?
Employers hiring cloud engineers in Columbus right now include JPMorganChase, NiSource, and OnTrac, based on current listings on Migrate Mate as of August 2026. Columbus draws a broad mix of large regional employers, insurance and financial institutions headquartered downtown, and mid-size technology firms that have expanded into the metro area over the past decade.
Are there remote cloud engineer jobs in Columbus?
Yes, cloud engineering is one of the more remote-friendly technical roles given that infrastructure management is largely desk-based, though on-site work is still common for roles tied to data centers or regulated industries. About 67% of cloud engineer openings tied to Columbus are remote or hybrid as of August 2026, with fully remote positions most common in software and financial technology roles rather than healthcare or government-adjacent employers.
How can I get a cloud engineer job in Columbus with little or no experience?
The most realistic entry path in Columbus is targeting associate cloud operations or DevOps support roles at the city's mid-size technology companies and managed service providers, which hire more junior talent than large financial institutions. Roles like cloud support specialist or junior systems administrator at Columbus-area IT service firms are practical stepping stones, and vendor certifications from AWS or Microsoft combined with a portfolio of personal projects give entry-level candidates a concrete edge in interviews.
Which industries hire the most cloud engineers in Columbus?
Most cloud engineer openings in Columbus sit in Insurance, Automotive, and Banking & Financial Services, per current listings on Migrate Mate as of August 2026. Columbus's standing as a major insurance and financial services hub drives consistent demand, while the presence of large health system networks and a growing cohort of enterprise software companies makes the city's cloud engineering market broader than its size might suggest.
Related Jobs in Ohio
See All 46 Cloud Engineer Jobs in Columbus
Find roles in Columbus that match your experience and apply in just a few clicks.
Find Cloud Engineer Jobs