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Back End Operations Jobs in Chicago, IL (NOW HIRING)

Wise Skulls

Knowledge Graph Developer

Chicago, IL · On-site

... backend integration components * Implement Neptune data loading, schema enforcement, testing support, and issue remediation * Support hybrid search, graph service integration, and operational ...

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Back End Operations information

See Chicago, IL salary details

$12

$59

$86

How much do back end operations jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for back end operations in Chicago, IL is $59.47, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $70.34 per hour, depending on experience, location, and employer.

What is back end operations?

Back End Operations refer to the processes, systems, and personnel that support a business’s core functions behind the scenes. These operations include tasks such as data management, server maintenance, database administration, and handling transaction processing. Unlike front-end roles that interact directly with customers, back end operations focus on ensuring that business workflows, IT infrastructure, and internal systems run smoothly and efficiently. This work is essential for maintaining business continuity, supporting customer-facing teams, and enabling seamless service delivery.

What are the key skills and qualifications needed to thrive as a back end operations professional, and why are they important?

To thrive in Back End Operations, you need strong analytical abilities, attention to detail, and a solid understanding of business processes or supply chain management, often supported by a relevant degree. Familiarity with enterprise resource planning (ERP) systems, databases, and workflow management software is typically required. Excellent organizational skills, problem-solving capabilities, and effective communication set top performers apart in this role. These skills ensure smooth business operations, efficient process management, and reliable support for front-line teams.

What are some common challenges faced by professionals in back end operations, and how can they overcome them?

Professionals in Back End Operations often face challenges such as managing high volumes of data, ensuring data accuracy, and maintaining efficient workflows under tight deadlines. Collaboration with other departments, such as IT and customer service, is crucial to resolve issues quickly and implement process improvements. Staying organized, leveraging automation tools, and maintaining clear communication with team members can help overcome these challenges and contribute to smoother operations overall.

What is the difference between Back End Operations vs Data Analyst?

AspectBack End OperationsData Analyst
Required CredentialsTypically requires a degree in business, operations, or related fields; certifications like Six Sigma or PMP are commonRequires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are common
Work EnvironmentPrimarily office-based, focusing on process management, logistics, and workflow optimizationOffice or remote-based, focusing on data collection, analysis, and reporting
Employer & Industry UsageUsed across industries like manufacturing, logistics, and e-commerce for operational efficiencyCommon in finance, marketing, healthcare, and tech for data-driven decision making

Back End Operations focuses on managing and optimizing business processes behind the scenes, while Data Analysts interpret data to inform strategic decisions. Both roles require analytical skills but differ in their focus and tools used.

What skills are needed for back end operations?

Back end operations roles require strong technical skills such as proficiency in programming languages like Python, Java, or Ruby, and experience with databases, server management, and APIs. Knowledge of cloud platforms, data security, and problem-solving abilities are also essential for managing server-side processes effectively.

What are popular job titles related to Back End Operations jobs in Chicago, IL?

For Back End Operations jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Back End Operations jobs in Chicago, IL look for?

The top searched job categories for Back End Operations jobs in Chicago, IL are:

Back End Operations jobs near you
Infographic showing various Back End Operations job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $123,706 per year, or $59.5 per hour.

IT Software Engineer(Backend Lead Developer)

StoneGate-Technologies LLC

Chicago, IL • On-site

$124K - $161K/yr

Other

Posted 5 days ago

Job description

Position Title :IT Software Engineer(Backend Lead Developer)
Job Location : Chicago, IL(Hybrid)
Must have Skills/Attributes: API, AWS, Azure, Elastic Search, Java, JUnit, MySQL, Spring Boot, SQL Shift
Looking for locals who can do inperson interview. Please do not provide false driving LIC. Only looking at backend lead developers
Required Education
Degree: Bachelor's degree or equivalent (implied by "Degree + 10+ years' experience")
Years of Experience: 10+ years of professional software engineering experience
Required Skills
Programming Language: Extensive experience with Java 17+ and Spring Boot for RESTful API development.
API Management: Experience with API gateways and management platforms, specifically Apigee (or similar).
Cloud Platforms: Proficiency deploying and maintaining software in public cloud environments (AWS, Azure, or Google Cloud Platform); AWS preferred given the platform context.
Testing: Proven ability to write comprehensive automated tests (unit, integration, end-to-end) using frameworks like JUnit and Mockito.
Architecture: Experience designing and implementing Event-Driven Architectures using message streaming solutions (e.g., AWS Kinesis, SQS, SNS, Apache Kafka, RabbitMQ, Azure Event Hub).
Datastores: Deep understanding of multiple datastore types:
o Relational: PostgreSQL, MySQL, Oracle, AWS RDS/Aurora
o NoSQL: MongoDB, Cassandra, AWS DynamoDB
o Search: Elasticsearch
o Caching: Redis
o Vector databases
CI/CD: Hands-on experience configuring and deploying software via CI/CD pipelines (Azure DevOps, Jenkins, or GoCD).
Agile: Demonstrated success working within an Agile/Scrum framework.
Security: Knowledge of secure service-to-service integrations using OAuth 2.0, JWT, and entitlement-based authorization models.
Soft Skills: Strong decision-making, critical thinking, and technical leadership abilities.
Preferred/Nice-to-Have:
Familiarity with AI-assisted coding companions (GitHub Copilot, Cursor).
Lead Software Engineer provides technical leadership in the design, development, testing, and deployment of state-of-the-art digital platform hosted on AWS. This role will build a world-class platform to host a wide range of digital applications.
Key Responsibilities:
Lead the design and development of enterprise-scale REST APIs and microservices using Java 21+, Spring Boot, Apigee API Gateway, and AWS cloud services.
Architect API-first solutions; define service contracts, payload schemas, and OpenAPI/Swagger specifications.
Lead solution decomposition by breaking business requirements into technical designs, user stories, and implementation tasks.
Guide engineers in developing secure service-to-service integrations using OAuth 2.0, JWT, and enterprise entitlement-based authorization models.
Serve as the technical lead for complex initiatives, driving architecture decisions, design reviews, and code reviews.
Collaborate with product owners, UI development teams, architects, and partner teams to ensure successful delivery of customer-focused solutions.
Establish engineering best practices for reliability, scalability, observability, security, and maintainability.
Drive quality engineering practices including automated testing, performance testing, load testing, and production readiness reviews.
Lead troubleshooting and resolution of complex production issues.
Create and maintain technical documentation, operational runbooks, and engineering standards.
Drive end-to-end software ownership from design through deployment, monitoring, support, and continuous improvement.

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