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3580 Backend Java Engineer On Site Dallas jobs in Chicago,IL

New, Posted 15 hours ago

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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 10 hours ago

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Java Full Stack Developer

TalentOla

Chicago, IL 60290

New, Posted 10 hours ago

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Python Backend Developer

High Sierra Talent

Chicago, IL 60290

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DevOps and GenAI Backend Developer

GAMMA TECHNOLOGIES

Westmont, IL 60559

Flexible Schedule

New, Posted 10 hours ago

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Remote Senior Backend Engineer (Python/FastAPI) - AI Evaluation (US-based)

Turing

Cicero, IL 60804

RemoteBilingual Preferred

New, Posted 1 day 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.

SmartExplore AI is experimental.

New, Posted 10 hours ago

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Software Engineer in Test

OtB Tech LLC

Chicago, IL 60290

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Site Reliability Engineer

sdi international

Chicago, IL 60290

New, Posted 10 hours ago

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Site Specialist

Unisys

Chicago, IL 60290

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Solution Architect

Aramco

Chicago, IL 60290

Onsite

Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role.
Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds.
Cloud Infrastructure: Expert-level experience with at least one major cloud provider (AWS, Azure, or GCP) and their native data services.
Containerization: Experience with Docker and Kubernetes for deploying data services.
Data Processing: Strong proficiency in batch and stream processing.
Programming: Advanced coding skills in Python, or Java, along with expert-level SQL.
Database Systems: Extensive experience managing and querying various systems: Relational: PostgreSQL, MySQL, SQL Server, NoSQL/NewSQL: MongoDB, Cassandra, Warehousing/Lakehouses: Snowflake, Databricks, BigQuery.
Enterprise Architecture: Knowledge of enterprise architecture principles, including business architecture, information architecture, and technology architecture.

SmartExplore AI is experimental.