Top Entry Level Software Engineer Jobs

Develop and improve Scala, Bazel, and CI foundations used by engineering teams. Build shared libraries, frameworks, automation, and developer tools; improve build reliability and feedback loops; debug workflow failures; and partner with product engineers on platform adoption. The role also applies AI-assisted engineering tools and agentic workflows to accelerate development while maintaining safety, quality, and human oversight.

Own software engineering projects from architecture and design through deployment and ongoing improvement. Build full-stack features, guide technical direction, modernize core functionality, and maintain quality through code reviews and testing. The role requires daily production releases, self-directed problem solving, strong communication, and on-site work five days per week. Experience in early-stage startups, founding, supply chain, or logistics is beneficial.

Develops, tests, documents, deploys, and supports custom applications, portals, data exchanges, services, and integrations. Designs data models and software solutions, writes reusable code and SQL queries, creates unit and functional test plans, troubleshoots application issues, performs code reviews, and follows Agile SDLC and change-management processes. Supports mission-critical healthcare systems and collaborates with technical and business teams. Remote work is available with quarterly travel to Tampa, Florida.

Leads the design, development, testing, deployment, and support of scalable software systems. Owns complex features, contributes to architecture, troubleshoots production issues, participates in Agile SDLC activities and on-call rotation, and collaborates with product and design teams. Mentors engineers, leads code reviews, supports technical direction, and occasionally coordinates project delivery. Remote work is available, with required quarterly travel to Tampa, Florida.

Designs, develops, tests, deploys, and maintains software applications and integrations. Gathers requirements, manages APIs, troubleshoots defects, performs code reviews, refactors code, documents technical solutions, and collaborates with stakeholders to improve system functionality and operational performance.

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

Design, build, and scale full-stack platform systems across frontend and backend services. Develop production features powered by AI and machine learning, create polished user experiences, and collaborate cross-functionally to deliver reliable software. Own technical design and implementation from concept through release and ongoing improvement. The role requires TypeScript, PostgreSQL, modern web framework and cloud experience, AI tooling knowledge, and willingness to work hybrid in New York.

Develop, test, deploy, and maintain Ethereum/EVM blockchain applications, smart contracts, and Web3 integrations. Collaborate with engineering, product, compliance, and security teams to deliver secure, scalable software. Translate business requirements into quality code, participate in design discussions and code reviews, troubleshoot production issues, and improve automation and development practices. Support cloud-native, containerized applications while applying secure coding and operational excellence standards.

Designs, develops, tests, troubleshoots, and supports secure, scalable Java and React applications in an agile environment. Builds production code, contributes to architecture, analyzes data for system improvements, supports CI/CD and DevOps practices, and uses AI-assisted development tools responsibly. Preferred experience includes Kafka messaging and AWS cloud technologies.

Develops full-stack, embedded, scientific, web, machine learning, and AI software solutions. Responsibilities include software design, coding, testing, documentation, performance improvement, access control, lifecycle management, requirements decomposition, status reporting, and collaboration on cybersecurity projects. The role works under technical leadership and supports government and private industry customers.

Develop Swift and SwiftUI applications for iPhone, iPad, macOS, and emerging Apple platforms. Work with Xcode, Git, APIs, databases, networking, testing, debugging, documentation, and code reviews. Learn visionOS, RealityKit, ARKit, RoomPlan, spatial computing, AI, machine learning, 3D visualization, LiDAR, and offline computing. Collaborate with senior engineers and leadership while progressively owning application features.

Designs, develops, tests, and deploys a large-scale enterprise insurance claims platform. Responsibilities include architecting microservices, building Blazor and React applications, developing SQL databases and APIs, managing Azure DevOps and Docker CI/CD pipelines, conducting code reviews, establishing coding standards, and mentoring engineers. Preferred experience includes building agentic AI workflow engines and RAG services using Azure AI Search and Azure OpenAI.

Develop technical solutions using programming code, databases, and user interfaces; interpret requirements; document business requirements; ensure acceptance criteria are understood; and follow DOE security and process requirements. The role requires Agile experience, CMMI knowledge, strong communication and critical-thinking skills, and an active DOE Q or Top Secret clearance with the ability to obtain SCI.

Lead full-stack workflow orchestration engineering using Camunda, Java or Python, and React. Design BPMN/DMN processes, enterprise integrations, IAM controls, resilient long-running workflows, and scalable backend services. Establish CI/CD, observability, security, testing, and operational practices while partnering with product, operations, and control teams. Drive responsible AI-assisted engineering adoption and mentor teams on secure, reliable development practices.

Develop Python-based tools for simulation-data analysis, log processing, automated testing, scenario generation, and autonomy performance evaluation. Support test orchestration, distributed simulation, containerized environments, CI/CD, infrastructure configuration, debugging, and developer documentation. Collaborate with software, autonomy, systems, and platform engineers while contributing to reliable and repeatable Hivemind Platform testing workflows.

Develop C++ software interfaces connecting autonomy software with sensors, flight controllers, payloads, radios, and vehicle systems. Configure Linux mission computers, implement communication protocols, develop Python testing tools, and debug distributed-system data flow. Support software, hardware, vehicle, laboratory, and field integration testing while collaborating with autonomy, systems, test, and flight teams.

Build full-stack, agent-driven software for SOX control testing and internal audit workflows. Design reliable and observable LLM agent systems, create structured audit deliverables, own end-to-end technical workstreams, and collaborate with product, design, auditors, and domain experts. Engineers will help shape agentic architecture, AI tooling, evaluation practices, and product direction while working on ambiguous 0-to-1 initiatives.

Optimize cross-stack software and Intel computing platforms by analyzing, benchmarking, and improving system performance. Develop performance metrics, KPIs, KEIs, and benchmarking tools while evaluating power, security, responsiveness, and hardware-software interactions. Collaborate with customers, partners, and engineering teams to identify optimization opportunities, provide technical insights, and influence platform roadmaps across AI, cloud, HPC, and client computing environments.

Build high-scale internal observability systems covering metrics, logs, traces, cost attribution, chargeback, compliance, and auditing. Partner with backend and platform teams to instrument services, evaluate observability infrastructure, and scale systems for Vercel’s production traffic. The role requires TypeScript, production experience with Go, Rust, or Zig, distributed systems expertise, cloud infrastructure knowledge, and familiarity with observability tooling.

Develop and maintain backend server applications supporting warehouse automation and logistics systems. Responsibilities include implementing business logic, integrations, database functionality, pathing and routing logic, automated tests, and DevOps processes. The role emphasizes reliability, performance, monitoring, error handling, maintainability, and production troubleshooting. Collaboration with software, web, automation, and operations teams is required, along with occasional on-site customer or project support in warehouse and industrial environments.

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.

Develops and maintains web applications, web services, backend processes, databases, and stored procedures. Responsibilities include software architecture, code reviews, troubleshooting, testing, security, Agile process improvement, and supporting the full application lifecycle. The role collaborates with leadership and peers, mentors developers, and ensures adherence to technical standards and best practices.

Design, build, and maintain backend systems for healthcare benefits, including enrollments, payments, payroll, benefits management, data models, fund flows, and partner integrations. Improve automation, monitoring, observability, reliability, and scalability while owning production systems. Collaborate with product, operations, and engineering teams to solve complex problems, manage edge cases, and provide technical direction.

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.