Top Entry Level Software Engineer Jobs in Chicago, IL

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Develop, test, deploy, and support full-stack applications using React, JavaScript/TypeScript, C#, .NET, relational databases, REST APIs, and Azure. Partner with business users to modernize prototypes into secure, scalable production applications. Apply enterprise architecture, authentication, authorization, security, vulnerability management, hosting, reliability, and performance standards. Use AI-assisted development tools extensively, troubleshoot production issues, and collaborate with Infrastructure, Security, Data, and Enterprise Architecture teams in a fast-paced on-site environment.

Develop and maintain portfolio management and trading systems, delivering reliable features and enhancements for business needs. Build and test production applications, APIs, and front-end functionality; contribute to code reviews, refactoring, observability, DevOps, CI/CD, and automated testing. Investigate production issues, improve system reliability, and collaborate with engineers and business stakeholders to translate requirements into practical solutions.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Develop and maintain software integrations connecting Cribl’s stream processing engine with systems such as Splunk, Elasticsearch, Kafka, and cloud storage platforms. Research third-party technologies, build robust Node.js and TypeScript code, create automated and integration tests, and collaborate with engineering, product, design, and business teams. Participate in code reviews, documentation, customer support, and a 24/7 on-call rotation.

Leads a software support team responsible for production reliability, defect triage, code maintenance, deployments, vulnerability remediation, testing, and operational response. Develops and reviews code, coordinates Agile delivery, monitors production concerns, communicates risks, and partners with engineering, infrastructure, IT, QA, product, and customer experience teams to maintain secure, supportable digital learning applications.

Build and enhance a real-time LLM-powered healthcare platform across the stack. Develop features including onboarding, note customization, and in-the-moment clinical insights. Collaborate with product, design, clinical experts, and go-to-market teams to deliver scalable AI-first applications. Work directly with healthcare providers and contribute to robust engineering practices in a fast-paced startup environment.

Build and own end-to-end technical solutions for strategic customers, including architectures, product features, and full-scale integrations. Collaborate with customer engineers and executives, apply Python and software development expertise to solve complex problems, and communicate technical concepts clearly. The role is remote-first in the United States with regular travel to customer onsite engagements.

Build scalable web applications, APIs, data pipelines, and data integrations for a cybersecurity platform. Responsibilities include architecting software for high-volume data environments, designing algorithms and data structures, optimizing storage and performance, maintaining coding standards, supporting analytics data systems, and collaborating across technical and non-technical teams throughout the product lifecycle.

Build responsive Bubble.io applications for startup clients, collaborate with product managers and designers, refine requirements, test tools and assumptions, communicate with clients weekly, and contribute reusable components and tutorials to the internal library. The role offers autonomy, client exposure, and opportunities to advance into technical leadership or product management.

Design and develop scalable Python systems while applying SRE principles to improve reliability, security, and performance. Responsibilities include monitoring, alerting, automated recovery, SLI/SLO measurement, chaos engineering, performance testing with JMeter, incident response, root cause analysis, and production troubleshooting. The role collaborates with product teams, contributes to architecture and engineering practices, and maintains high-quality, resilient software.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Build and scale high-throughput streaming infrastructure that ingests, forwards, and computes on billions of behavioral events in real time. Own projects end to end, solve customer scaling challenges, and influence the technical roadmap. The role focuses on distributed systems capable of processing millions of messages per second with very low latency, supporting real-time personalization and AI-driven marketing products.

Develop backend systems for Hightouch’s Customer Studio product, focusing on data warehouse performance, analytics and experimentation, real-time audience syncing, and generative AI workflows. Design scalable, maintainable, and reliable distributed systems while contributing to product specifications and customer-focused solutions. The role requires strong product sense and the ability to architect data-processing features end to end.

Leads hands-on development of enterprise solutions using Dynamics 365 Sales, Dataverse, Power Apps, and Power Automate. Designs CI/CD pipelines, establishes engineering standards, manages version control and ALM, and ensures solution scalability and maintainability. Mentors engineers, conducts code reviews, collaborates with architecture and product teams, supports Agile delivery, and serves as a technical stakeholder contact. Participates in overnight and weekend on-call support for Broad Arrow Auctions.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Develop and test high-performance C++ applications for trading platforms. Collaborate with traders and senior engineers to translate requirements into efficient solutions, while monitoring, profiling, troubleshooting, and improving system reliability. Gain hands-on experience across the full trading-system development lifecycle in an on-site, highly collaborative environment.

Develop, optimize, automate, and support bioinformatics pipelines in an on-premise HPC environment. Integrate pipelines with laboratory systems and Illumina, Oxford Nanopore, and PacBio sequencing instruments; troubleshoot genomic data movement and delivery issues; maintain technical infrastructure; and support increased workload from an LIS transition to Epic Beaker. Participate as a full member of an agile pipeline team while collaborating with bioinformatics specialists and customer stakeholders.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Design and own secure, scalable wallet infrastructure for custody, key management, transaction signing, authorization, recovery, and multichain systems. Architect support for MPC, HSMs, secure enclaves, TEEs, smart contract wallets, account abstraction, and emerging cryptographic approaches. Define security boundaries, policy engines, secrets management, authentication, and programmable authorization while making foundational build-versus-buy decisions and guiding systems from first principles through production.

Build and maintain developer tools, SDKs, CLI, MCP interfaces, integrations, and supporting backend services. Collaborate on API contracts, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable systems with authentication, retries, idempotency, rate limits, monitoring, and error recovery.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Embed with customers to design and build end-to-end, production-quality software and LLM workflows. Collaborate on architecture, handle large-scale data and storage, develop cloud and front-end solutions, and own stakeholder relationships while traveling 25–50%.