Python Engineer Jobs in Ohio
Python Engineer jobs in Ohio are in strong demand, with active hiring concentrated in financial services, healthcare technology, and enterprise software across experience levels from entry-level to senior. Columbus, Cleveland, and Cincinnati drive most of the openings, anchored by employers like Nationwide Insurance, KeyBank, and Kroger Technology, all of which maintain significant engineering teams in Ohio. The most sought-after specialties are data pipeline development, machine learning integration, and backend API engineering. Find a role that fits below and apply directly.
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Push the limits of what's possible 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 leading technology products in a secure, stable, and scalable manner. Your role will involve promoting significant business impact through your skills and contributions, utilizing your deep technical expertise and problem solving methodologies 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 strategic objectives.
Job Responsibilities
- Provide hands on technical leadership and guidance across teams; serve as function wide subject matter expert in resiliency and recovery observability.
- Own end to end architecture for critical Java services: define domain boundaries, API contracts, event schemas, and cross-service standards; steward architectural decision records.
- Design, develop, and review secure, high quality production code in Java; debug complex issues; mentor engineers through code reviews and technical coaching.
- Drives 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.
- 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.
- Drive resilient service design: drive and manage availability SLOs, latency budgets, and error budgets.
- Partner with the engineering lead the secure SDLC: conduct threat modeling; integrate SAST/DAST and dependency risk management; ensure encryption in transit/at rest and robust secrets hygiene; oversee authN/authZ patterns.
- 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: maintain evidence chain of custody and immutable operation, restore validation exercises and auditability.
- Enhance existing systems by analyzing objectives, preparing action plans, and identifying opportunities 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 lead on-call obligations for owned services, ensuring operational stability and timely resolution of incidents.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 8+ of experience years with expert level Java proficiency, including collections, concurrency, memory management, and performance tuning; experience with profiling tools. Able to walk through applied examples designing and operating distributed Java systems.
- Strong experience with Spring Boot and microservices; API focused event driven design and idempotency; schema evolution and compatibility.
- Expert-level experiencing designing and implementing Python-based microservices.
- Deep knowledge of resiliency engineering patterns and disaster recovery objectives (RTO/RPO) with hands on practice running DR tests and chaos/resilience exercises.
- Secure SDLC expertise: 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-once semantics) and other messaging platforms as required.
- 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: proficiency with build tools, CI/CD systems, and version control (Git) with automated pipeline governance.
- Cloud-hybrid delivery: containers and orchestration, infrastructure as code, multi-AZ/region architectures, and cost efficient scalability; hands on experience 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 modern frontend technologies for internal tooling or dashboards.
- Proficiency in one or more additional programming languages (e.g., Python) for API delivery and management, tooling, automation, or data tasks as well as partnering with other delivery teams.
- Experience establishing engineering 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 adopt leading edge technologies 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 to disseminate best practices.
- Build strong working relationships with platform partners across Product Development, Operations, Risk/Controls, and other firmwide functions to deliver competitive, scalable solutions.
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.
Push the limits of what's possible 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 leading technology products in a secure, stable, and scalable manner. Your role will involve promoting significant business impact through your skills and contributions, utilizing your deep technical expertise and problem solving methodologies 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 strategic objectives.
Job Responsibilities
- Provide hands on technical leadership and guidance across teams; serve as function wide subject matter expert in resiliency and recovery observability.
- Own end to end architecture for critical Java services: define domain boundaries, API contracts, event schemas, and cross-service standards; steward architectural decision records.
- Design, develop, and review secure, high quality production code in Java; debug complex issues; mentor engineers through code reviews and technical coaching.
- Drives 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.
- 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.
- Drive resilient service design: drive and manage availability SLOs, latency budgets, and error budgets.
- Partner with the engineering lead the secure SDLC: conduct threat modeling; integrate SAST/DAST and dependency risk management; ensure encryption in transit/at rest and robust secrets hygiene; oversee authN/authZ patterns.
- 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: maintain evidence chain of custody and immutable operation, restore validation exercises and auditability.
- Enhance existing systems by analyzing objectives, preparing action plans, and identifying opportunities 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 lead on-call obligations for owned services, ensuring operational stability and timely resolution of incidents.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 8+ of experience years with expert level Java proficiency, including collections, concurrency, memory management, and performance tuning; experience with profiling tools. Able to walk through applied examples designing and operating distributed Java systems.
- Strong experience with Spring Boot and microservices; API focused event driven design and idempotency; schema evolution and compatibility.
- Expert-level experiencing designing and implementing Python-based microservices.
- Deep knowledge of resiliency engineering patterns and disaster recovery objectives (RTO/RPO) with hands on practice running DR tests and chaos/resilience exercises.
- Secure SDLC expertise: 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-once semantics) and other messaging platforms as required.
- 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: proficiency with build tools, CI/CD systems, and version control (Git) with automated pipeline governance.
- Cloud-hybrid delivery: containers and orchestration, infrastructure as code, multi-AZ/region architectures, and cost efficient scalability; hands on experience 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 modern frontend technologies for internal tooling or dashboards.
- Proficiency in one or more additional programming languages (e.g., Python) for API delivery and management, tooling, automation, or data tasks as well as partnering with other delivery teams.
- Experience establishing engineering 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 adopt leading edge technologies 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 to disseminate best practices.
- Build strong working relationships with platform partners across Product Development, Operations, Risk/Controls, and other firmwide functions to deliver competitive, scalable solutions.
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 7 Python Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Python Engineer JobsPython Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Python Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
What Ohio Employers Look For
The qualifications that appear most often in python engineer jobs across Ohio.
- Proficiency in Python with hands-on experience building production-grade applications
- Experience with data engineering tools such as Apache Spark, Airflow, or Kafka
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud
- Ability to design and consume RESTful APIs and microservices architectures
- Experience with relational databases such as PostgreSQL or Oracle and SQL fluency
- Bachelor's degree in computer science, software engineering, or a related technical field
Python Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a python engineer in Ohio?
Python engineering in Ohio has no state-issued license, so the path runs through education and demonstrated skills. Most Ohio employers expect a bachelor's degree in computer science, software engineering, or a related field, though strong candidates with associate degrees and substantial project portfolios do get hired. Building a GitHub portfolio, completing recognized certifications in cloud platforms or data engineering, and targeting internship programs at Ohio's large financial and healthcare technology employers are the most direct routes.
How much do python engineers make in Ohio?
Python engineers 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 python engineers in Ohio?
Employers hiring python engineers in Ohio right now include JPMorganChase and JobVerse, based on current listings on Migrate Mate as of August 2026. Ohio's concentration of insurance headquarters, regional banks, and hospital systems means many of these openings sit within large, established organizations that hire engineers continuously rather than in short bursts.
Which Ohio cities have the most python engineer jobs?
Columbus and Cincinnati account for the most python engineer openings in Ohio. Columbus leads because it is home to Nationwide, JPMorgan Chase's technology operations, and a growing startup ecosystem, while Cleveland and Cincinnati draw demand from regional banking, healthcare systems, and consumer goods companies that maintain engineering teams locally.
Are there remote python engineer jobs in Ohio?
Yes, and more than most fields. About 0% of python engineer openings tied to Ohio are remote or hybrid as of August 2026, reflecting how naturally the work adapts to distributed teams. Backend development, data pipeline work, and API engineering are the areas most likely to be fully remote, while roles involving on-site infrastructure or embedded systems tend to require in-person presence.
How can I get hired as a python engineer in Ohio with little or no experience?
The most realistic entry path is through an internship or co-op program, and Ohio's large employers run structured versions of these consistently. Nationwide, Huntington Bank, and Kroger Technology all take new-grad and early-career engineers into rotational or associate developer roles. Candidates coming from adjacent positions like data analyst, QA engineer, or IT support who can show Python projects on GitHub make competitive lateral moves. A cloud certification from AWS or Google strengthens an entry-level application noticeably.
Where can I find and apply to python engineer jobs in Ohio?
You can find and apply to python engineer jobs in Ohio on Migrate Mate, which lists current openings across the state. Search the listings for roles that match your experience and location, then apply directly to the ones that fit.
See All 7 Python Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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