Top Entry Level Software Engineer Jobs in NYC, NY

Build scalable software infrastructure for electrical, thermal, and electromagnetic simulations. Develop automated pipelines, distributed execution, parameter sweeps, solver integrations, quality checks, provenance tracking, and reproducible dataset workflows. Optimize simulation throughput, cost, and reliability while collaborating with machine learning and hardware teams to validate results and generate training data.

Build and ship customer-facing web and mobile product features across the full stack, from concept through production. Work closely with users, iterate quickly while maintaining code quality, contribute to engineering standards, and help recruit future engineers. The role requires startup experience, cloud infrastructure exposure, strong customer focus, and willingness to work onsite in New York five days per week.

Build and deploy software products and platforms embedded with business teams. Collaborate with operators, asset managers, and customer-facing colleagues to identify opportunities, prototype solutions, and rapidly deliver production systems. Develop across multiple programming languages, cloud infrastructure, storage systems, front-end frameworks, and AI-agent tools while incorporating user feedback and working independently in an agile environment.

Build and maintain Turso’s open-source database and cloud platform. Responsibilities include advancing PostgreSQL compatibility, ensuring software correctness through testing and verification, operating cloud APIs and data planes, and scaling systems to support substantially more databases. The role involves Rust development, embedded database technology, large-scale cloud operations, observability, reliability, performance improvements, and collaboration with customers, open-source communities, and distributed teams.

Develop and maintain high-reliability, high-throughput backend systems for managing security certificates and configurations. Responsibilities include designing scalable systems, building features, optimizing performance, working with relational and NoSQL databases, and collaborating with testing and SQA teams on deployments. The role requires project-based experience with Java, Spring, Spring Boot, Angular, Terraform, SQL, Linux/Unix, and database technologies.

Design, build, operate, and maintain large-scale distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features from concept through production, improve reliability and performance, participate in design reviews and on-call rotations, contribute to roadmap decisions, and collaborate remotely with engineers. The role focuses on Go-based cloud services running on Kubernetes across AWS, GCP, and Azure, with observability, DevOps, and customer-focused software development responsibilities.

Designs and implements scalable application networking features for Elastic Cloud, including ingress, security controls, private connectivity, and DNS. The role involves performance analysis, load testing, monitoring, incident troubleshooting, root cause analysis, and developing diagnostic tools. The engineer collaborates across teams to meet networking requirements, improve platform reliability, and apply best practices using Golang, Kubernetes, cloud networking, and distributed systems technologies.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

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.

Build and scale full-stack systems that ingest and process real-time social data from major platforms. Develop AI-powered agents, high-volume data workflows, and customer-facing configuration, monitoring, and reporting features. Collaborate closely with the founding team to turn rapidly changing product ideas into reliable, shipped functionality across the TypeScript, Next.js, NestJS, PostgreSQL, Prisma, and AWS stack.

Provides technical and architectural leadership for Ro’s patient-facing healthcare platform. Designs scalable backend systems supporting intake, prescriptions, commerce, subscriptions, renewals, and growth experiences. Partners with product, engineering, clinical, growth, design, and data teams to translate patient and business needs into technical strategy, improve system foundations, and drive patient outcomes and revenue. Requires strong systems design, backend engineering, product judgment, and experience leading complex consumer-facing platforms.

Build and operate scalable software powering enterprise data science and AI platforms. Contribute across backend services, APIs, frontend features, and cloud integrations while working on high-impact projects. Collaborate with experienced engineers, apply modern software engineering practices, and learn technologies supporting reliable, reproducible, and compliant AI and MLOps solutions.

Build and maintain latency-sensitive backend services for risk management, transaction settlement, distributed state coordination, live data processing, and client-facing request-response and streaming interfaces. The role requires production Rust experience, asynchronous programming expertise, database knowledge, systems-level backend engineering, startup experience, and an interest in trading or financial markets. This is a fully onsite position in New York City.

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, optimize, and maintain software systems using AI while collaborating across disciplines to develop user-focused solutions. Apply secure coding practices, participate in code reviews, and contribute to high-quality features. The role involves working with front-end or back-end technologies, databases, cloud platforms, and AI-assisted development in a mission-driven healthcare technology environment.

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 software for AI compute infrastructure, including fleet health monitoring, telemetry, incident correlation, repair and RMA workflows, hardware qualification, facility asset management, maintenance systems, and operational dashboards. Develop production features using Go, Python, or TypeScript and AI tooling. Work closely with production engineers and facility operators, participate in on-call rotations, and automate operational procedures across Kubernetes, bare metal, and large-scale GPU environments.

Build and ship secure, high-performance software for AI-powered legal and professional-services systems. Responsibilities span frontend, backend, full-stack, infrastructure, and applied AI work, including retrieval, document intelligence, workflow automation, LLM evaluation, enterprise agents, and secure client-data systems. Collaborate with AI Research, Legal Engineering, Product, Design, and experienced engineers through design discussions and code reviews while contributing production code from the start.

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.

Operate and scale production inference systems serving live, multi-tenant traffic. Own model rollouts, observability, capacity planning, incident response, reliability, failover, and cost optimization. Partner with research and inference teams to productionize serving techniques while maintaining system performance and resilience.

Design, build, and operate distributed infrastructure for large-scale AI model training and inference. Responsibilities include orchestration, scheduling, storage, resource management, reliability, observability, distributed failure debugging, and developing internal Python and Go libraries and APIs. The role partners with researchers and platform engineers and supports infrastructure operating across thousands of accelerators.

Develops software solutions at Zoom, collaborating in a fast-paced, customer-focused environment to support communication and collaboration products. The provided description does not include specific responsibilities, qualifications, technologies, salary figures, or travel requirements.

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.