Top Entry Level Software Engineer Jobs

Participate in a 12-month software engineering graduate program with two rotations across big data, AI, SRE, DevOps, and security engineering. Responsibilities include writing specifications, implementing code, conducting reviews, fixing bugs, applying test-driven development, gathering requirements, resolving technical issues, and learning software methodologies, data manipulation languages, and data modeling. Participants receive mentorship, training, and exposure to AWS and Azure.

A 12-month graduate software engineering program consisting of two six-month rotations across big data, AI, SRE, DevOps, and security engineering. Participants write and review specifications, implement code, perform code reviews and bug fixes, apply test-driven development, gather requirements, resolve technical issues, and learn cloud technologies including AWS and Azure. The role includes mentorship, training, and collaboration with stakeholders while contributing to software products serving insurance, healthcare, and government markets.

Participate in a 12-month software engineering graduate program with two rotations across big data, AI, SRE, DevOps, and security engineering. Write and review specifications, implement code, perform code reviews, fix bugs, apply test-driven development, gather requirements, resolve technical issues, and work across development environments. Gain exposure to AWS, Azure, data modeling, software methodologies, and multiple programming languages through mentorship and training.

Lead hands-on development and architecture for edge computing solutions, including Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and developer enablement platforms. Drive cloud and hybrid architecture, architecture reviews, observability, security, reliability, and operational excellence while mentoring engineers and influencing cross-functional teams.

Leads the design and delivery of edge computing solutions, including distributed architectures, Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and developer enablement platforms. The role also guides architecture reviews, cloud and hybrid scalability, security, observability, reliability, and engineering best practices while mentoring engineers and influencing cross-functional teams.

Lead hands-on development and architecture for edge computing solutions, including Kubernetes deployments across distributed cloud environments, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and platform enablement. Own architecture patterns for disconnected environments, participate in architecture reviews, improve security and observability, establish engineering best practices, mentor engineers, and collaborate with product, infrastructure, and platform teams.

Develop mission-critical software for Starshield’s GNC organization, including payload management, orbital prediction, system-performance analysis, and distributed systems tools for large spacecraft constellations. Responsibilities span requirements definition, prototyping, development, testing, deployment, monitoring, and ongoing operational support. The role requires collaboration across engineering teams and may involve extended hours or weekend work supporting critical development and on-orbit operations.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.

Build and own production systems powering the go-to-market organization, including lead routing, enrichment, pipeline forecasting, scoring, deal-desk workflows, and integrated CRM, product, and billing data layers. Work closely with founders and GTM leadership to design revenue systems, dogfood the company’s AI sales products, and influence the product roadmap. Deliver software that improves revenue performance while operating in a fast-paced, fully in-office startup environment.

The Junior Software Engineer will engage in the software development life cycle, perform hands-on coding, diagnose product issues, and contribute to software deployment.

Build consumer-facing and enterprise software for an AI recruiting platform. Responsibilities include developing marketplace and hiring workflow features, integrating customer hiring systems, improving interview response latency, supporting AI model quality, presenting interview results, and scaling system architecture for concurrent users. The role involves hands-on full-stack development, collaboration with the founding team, and working in person in San Francisco five days per week.

Build and maintain full-stack software across Java and Spring Boot backend services, TypeScript frontend applications, REST APIs, SQL and NoSQL databases, event-driven systems, and cloud deployments. Own services within a microservices architecture, improve CI/CD pipelines, write comprehensive tests, participate in code reviews, collaborate cross-functionally, monitor production systems, and maintain technical documentation.

Develops and improves end-to-end software solutions in an Agile environment, from technical vision through production. Analyzes business needs, architecture, operating environments, and future enhancements while collaborating with development teams to create client-focused systems. The role involves learning new tools, identifying system improvements, and applying software development lifecycle practices.

As a Full-Stack Engineer, you will learn and help build new product features, contribute to backend systems, and support AI-driven workflows for CPG brands.

Develops and debugs software enhancements and subsystems for systems software, including operating systems, networking, databases, utilities, and Internet tools. Executes test plans, identifies and resolves issues, and collaborates with internal and outsourced development partners. Contributes to project teams delivering reliable, cost-effective solutions for low- to moderately-complex products while applying foundational software design, coding, testing, and debugging knowledge.

Develop modern front-end applications for modeling and simulation, hardware-in-the-loop, engineering, and test environments. Build interfaces for system configuration, data visualization, simulation control, and interaction with physical or simulated hardware. Integrate applications with real-time data and backend services, collaborate with engineers and technical users, and translate complex workflows into effective user interfaces for national security missions.

Develop and deliver complex software systems into production using Python or Java, REST APIs, SQL, web technologies, and object-oriented programming. Work across Windows and Linux environments with Git/GitLab, Agile practices, and CI/CD tools. The role involves architecting software solutions and supporting production delivery.

Develop and maintain scalable, high-performance APIs and web applications using Python and FastAPI. Collaborate on feature development, write maintainable code, implement security and data protection, optimize application performance, participate in code reviews, troubleshoot issues, and apply modern development practices including microservices, containerization, testing, and CI/CD.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster lifecycle services, reconciliation loops, reliability mechanisms, and interfaces for hardware and cluster health. The role requires Go, Kubernetes controller patterns, bare-metal provisioning, asynchronous systems, and experience with infrastructure technologies such as Metal3, Cluster API, and Temporal.

Develop modern C++ flight-autonomy software for supersonic unmanned aircraft, including guidance, navigation, control, mission autonomy, decision-making, and sensor integration. Integrate capabilities with aircraft, command-and-control, ground, and operator systems. Build tests and simulations, diagnose cross-functional problems, and support software-in-the-loop, hardware-in-the-loop, ground, and flight testing while collaborating with GNC, simulation, operations, and pilots.

Develop and maintain Python data pipelines, scientific data solutions, automations, and software supporting manual curation. Collaborate with senior engineers, curation teams, and cross-functional Elsevier teams to build customer-facing products using AI, NLP, vocabularies, and ontologies. Help deliver production-ready solutions that make complex scientific information accessible to life sciences customers.

Administer the Cradle requirements management system, audit and report requirements data, train users, and support technical baselines. Develop and maintain full-stack web applications using Microsoft SQL Server, Entity Framework, .NET/C#, Angular, and PrimeNG. Design databases and APIs, build accessible interfaces, troubleshoot defects and performance issues, manage GitHub workflows, write unit tests, administer databases, document software, and conduct stakeholder demonstrations and training.

Develop enterprise Java applications using EJB, JPA, Oracle Fusion Middleware Web Services, JMS, and BPEL. Apply HIPAA 4010/5010 coding specifications while supporting application development and integration initiatives. The position is based in Austin, Texas, with an initial engagement of at least eight months.

Design and build backend infrastructure for long-running, stateful workflows involving automated processing, AI model inference, and expert review. Develop orchestration primitives such as retries, recovery, idempotency, and auditable state transitions. Create APIs and tooling for operations, debugging, observability, and reliability. Partner with product, operations, and ML teams to translate ambiguous requirements into scalable, debuggable systems and own services through design, deployment, and continuous improvement.