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2884 Backend Software Engineer Innovation jobs in Chicago,IL

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Gameplay Engineer 2 [209776]

Aquent Talent

Chicago, IL

$49/hr

RemoteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in a technical field such as computer science, computer engineering, or a related discipline.
2-4 years of professional engineering experience.
Demonstrated experience in gameplay development, game mods/add-ons, or scripting.
Development experience in relevant scripting languages or technologies.
Experience with C#, C++, or HTML development.
Hands-on experience in designing, developing, and successfully deploying large-scale projects from end-to-end.
Hands-on experience following iterative and agile Software Development Life Cycle (SDLC) methodologies.
Ability to be flexible and adapt to change quickly in a positive manner.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Senior Software Engineer

TAG - The Aspen Group

Chicago, IL 60290

New, Posted 13 hours ago

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junior software developer/machine learning engineer

Synergisticit

Chicago, IL 60290

New, Posted 13 hours ago

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Software Engineer in Test

Alpine Solutions Group

Chicago, IL 60290

New, Posted 13 hours ago

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Software Engineer | High-Frequency Trading

Fionics

Chicago, IL 60290

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DevOps and GenAI Backend Developer

GAMMA TECHNOLOGIES

Westmont, IL 60559

Flexible Schedule

New, Posted 9 hours ago

Principal Software Engineer

Mastercard

Chicago, IL 60290

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Extensive experience in designing and delivering large-scale, distributed systems and platforms.
Proven ability to influence technical strategy and drive architectural decisions across multiple teams.
Strong expertise in modern software engineering practices, cloud-native architectures, and AI/data platforms.
Exceptional communication and leadership skills with a track record of mentoring and thought leadership.
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
Data Architecture & Strategy
Focus on designing modern, scalable, governed data ecosystems.
Data strategy and product-aligned data architectures
Modern database technologies and migration away from legacy Oracle
Data lakehouse architectures supporting analytics and ML workloads
Feature catalog / feature engineering platforms
High-Throughput, Low-Latency, and Real-Time Systems
Critical for Mastercard's real-time decisioning and event-driven platforms.
Event streaming and high-throughput data pipelines
Low-latency data technologies (distributed caches, grid replacement)
Real-time transaction processing and sub-second decisioning
Rules engine design and modernization
Cloud Infrastructure, Platform Engineering & DevOps
Driving cloud-native engineering practices and operational excellence.
AWS infrastructure engineering and cloud-native platform patterns
DevOps and platform engineering (automation, CI/CD, observability, GitOps)
ML lifecycle engineering (model training, deployment, refresh, inference)
Deep, progressive experience in software engineering.
Proven technical leadership roles influencing architecture and design across multiple teams.
Proven track record of delivering large-scale, distributed systems and enterprise-grade platforms.