Senior Software Developer Jobs in Ohio
Senior Software Developer jobs in Ohio are among the most actively recruited technology roles in the Midwest, with consistent demand concentrated in fintech, healthcare IT, insurance platforms, and enterprise software across a market that ranges from junior developers through principal-level engineers. Columbus, Cleveland, and Cincinnati are the primary hiring centers, home to large and established employers such as Nationwide, JPMorgan Chase, and Kroger Technology and Data. The most in-demand specialties are cloud-native backend development, full-stack Java and Python engineering, and distributed systems architecture. Find a role that fits below and apply directly.
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Showing 5 of 74+ Senior Software Developer jobs
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Employee and Experience Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role, you will help drive our modernization to a Databricks-on-AWS lakehouse, building all new data pipelines using Apache Spark (PySpark) on Databricks.
Job Responsibilities
Design, build, and maintain new data pipelines on Databricks using PySpark, developing secure, high-quality production code and reviewing and debugging processes implemented by others.
Optimize and tune PySpark jobs and Databricks clusters for performance, scalability, and cost efficiency (partitioning, caching, and resource management).
Design and implement scalable data frameworks to manage end-to-end Databricks pipelines for workforce data analytics, applying medallion (bronze/silver/gold) lakehouse patterns.
Implement data quality checks and validation processes — using Delta Lake and Delta Live Tables expectations — to ensure accuracy and reliability of data.
Implement robust monitoring and alerting to proactively address data ingestion issues, leveraging Databricks and AWS CloudWatch to optimize performance and throughput.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability, using Databricks Workflows and AWS-native automation.
Leverage AI and Agentic AI solutions to accelerate data pipeline development, and adopt AI-assisted engineering tools (e.g., Claude, GitHub Copilot) to improve developer productivity and code quality.
Provision and deliver curated, reliable data sets to our BI partners (who work in Sigma, Tableau, and Alteryx), enabling their reporting and analytics use cases.
Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
Contribute to software engineering communities of practice that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities & Skills
Formal training or certification in software engineering concepts with 3+ years of applied experience in data engineering, including design, application development, testing, and operational stability.
Advanced, hands-on expertise in Apache Spark (PySpark) for large-scale distributed data processing, with strong proficiency building and operating production pipelines on Databricks (Delta Lake and lakehouse patterns).
Strong expertise across the AWS data ecosystem, including S3, EMR, Glue, Lambda, and Athena, along with AWS storage and compute services; experience with data formats such as Parquet and Iceberg.
Strong programming skills in Python for data processing and application development (Java or Scala a plus).
Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
In-depth knowledge of the financial services industry and their IT systems.
Solid SQL and data modeling skills for efficient data management and retrieval (experience with relational databases such as Oracle a plus).
Experience with scheduling tools like Airflow and Autosys to automate and manage job scheduling for efficient workflow execution.
Preferred Qualifications, Capabilities & Skills
Databricks certifications (e.g., Databricks Certified Data Engineer Associate/Professional).
Familiarity with Generative AI and Agentic AI frameworks, including experience with AI coding assistants such as Claude and GitHub Copilot in an engineering workflow.
Deeper expertise in the AWS cloud platform and its broader service catalog.
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.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Employee and Experience Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role, you will help drive our modernization to a Databricks-on-AWS lakehouse, building all new data pipelines using Apache Spark (PySpark) on Databricks.
Job Responsibilities
Design, build, and maintain new data pipelines on Databricks using PySpark, developing secure, high-quality production code and reviewing and debugging processes implemented by others.
Optimize and tune PySpark jobs and Databricks clusters for performance, scalability, and cost efficiency (partitioning, caching, and resource management).
Design and implement scalable data frameworks to manage end-to-end Databricks pipelines for workforce data analytics, applying medallion (bronze/silver/gold) lakehouse patterns.
Implement data quality checks and validation processes — using Delta Lake and Delta Live Tables expectations — to ensure accuracy and reliability of data.
Implement robust monitoring and alerting to proactively address data ingestion issues, leveraging Databricks and AWS CloudWatch to optimize performance and throughput.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability, using Databricks Workflows and AWS-native automation.
Leverage AI and Agentic AI solutions to accelerate data pipeline development, and adopt AI-assisted engineering tools (e.g., Claude, GitHub Copilot) to improve developer productivity and code quality.
Provision and deliver curated, reliable data sets to our BI partners (who work in Sigma, Tableau, and Alteryx), enabling their reporting and analytics use cases.
Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
Contribute to software engineering communities of practice that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities & Skills
Formal training or certification in software engineering concepts with 3+ years of applied experience in data engineering, including design, application development, testing, and operational stability.
Advanced, hands-on expertise in Apache Spark (PySpark) for large-scale distributed data processing, with strong proficiency building and operating production pipelines on Databricks (Delta Lake and lakehouse patterns).
Strong expertise across the AWS data ecosystem, including S3, EMR, Glue, Lambda, and Athena, along with AWS storage and compute services; experience with data formats such as Parquet and Iceberg.
Strong programming skills in Python for data processing and application development (Java or Scala a plus).
Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
In-depth knowledge of the financial services industry and their IT systems.
Solid SQL and data modeling skills for efficient data management and retrieval (experience with relational databases such as Oracle a plus).
Experience with scheduling tools like Airflow and Autosys to automate and manage job scheduling for efficient workflow execution.
Preferred Qualifications, Capabilities & Skills
Databricks certifications (e.g., Databricks Certified Data Engineer Associate/Professional).
Familiarity with Generative AI and Agentic AI frameworks, including experience with AI coding assistants such as Claude and GitHub Copilot in an engineering workflow.
Deeper expertise in the AWS cloud platform and its broader service catalog.
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 74 Senior Software Developer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find JobsSenior Software Developer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Senior Software Developer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
- JPMorganChase10
- State of Ohio4
- MTSI3
- Shield AI2
- CVS Health2
Top Industries Hiring
- Insurance
- Technology & Software
- Staffing & Recruiting
- Banking & Financial Services
What Ohio Employers Look For
The qualifications that appear most often in senior software developer jobs across Ohio.
- Bachelor's degree in computer science, software engineering, or a related technical field
- Five or more years of professional software development experience in production environments
- Proficiency in at least one major language such as Java, Python, C#, or Go
- Demonstrated experience designing and deploying cloud infrastructure on AWS, Azure, or GCP
- Proven ability to lead code reviews, mentor junior developers, and drive technical standards
- Experience with Agile or Scrum delivery frameworks and CI/CD pipeline tooling
Senior Software Developer Jobs in Ohio: Frequently Asked Questions
How do you become a senior software developer in Ohio?
Senior software developer roles in Ohio do not require a state-issued license, but employers consistently expect a bachelor's degree in computer science, software engineering, or a related discipline combined with several years of progressively complex professional experience. Ohio's largest technology employers, particularly in Columbus's fintech corridor and Cleveland's healthcare IT sector, also recognize candidates who demonstrate seniority through a strong portfolio, open-source contributions, or industry certifications in cloud platforms.
How much do senior software developers make in Ohio?
Senior software developers in Ohio earn a median of about $114,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,790 for the lowest 10% to over $168,400 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior software developers in Ohio?
Employers hiring senior software developers in Ohio right now include JPMorganChase, State of Ohio, and MTSI, based on current listings on Migrate Mate as of September 2026. Ohio's blend of Fortune 500 headquarters in insurance, retail, and financial services means demand for senior developers extends well beyond pure technology firms.
Which Ohio cities have the most senior software developer jobs?
Columbus, Dayton, and Cincinnati have the most senior software developer openings in Ohio. Columbus leads because it is home to the headquarters of major insurers, banks, and retail technology operations that maintain large in-house engineering organizations, while Cleveland and Cincinnati contribute substantial volume through healthcare system IT departments and regional financial services firms.
Are there remote senior software developer jobs in Ohio?
Yes, and more than most fields. About 62% of senior software developer openings tied to Ohio are remote or hybrid as of September 2026, reflecting how thoroughly software development has shifted to distributed work models. Roles focused on backend services, cloud infrastructure, and API development tend to offer the most flexibility, while positions requiring close collaboration with on-site hardware or data center teams are more likely to specify hybrid schedules.
How can I get hired as a senior software developer in Ohio with little or no experience?
The most realistic entry path is securing a junior or associate software developer role at one of Ohio's large technology employers and building toward seniority through measurable scope growth. Columbus-based companies such as Nationwide and JPMorgan Chase run structured new-graduate and rotational engineering programs that pipeline candidates into senior tracks, and lateral moves from QA automation, data analyst, or DevOps roles are a well-worn path. Earning a cloud certification from AWS or Google and maintaining a demonstrable portfolio of shipped projects gives candidates a measurable edge in Ohio's competitive market.
Where can I find and apply to senior software developer jobs in Ohio?
You can find and apply to senior software developer jobs in Ohio on Migrate Mate, which lists current openings tied to the Ohio market. Search the available roles, identify the ones that match your experience and preferences, and apply directly to the positions that fit.
See All 74 Senior Software Developer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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