Top Entry Level Software Engineer Jobs in NYC, NY

Build end-to-end product features from design through delivery, lead projects and product areas, shape technical systems and engineering practices, make pragmatic scalability decisions, and mentor teammates. The role requires strong frontend or backend expertise with the ability to work across the stack, product intuition, cross-functional communication, and ownership in a growing, mission-driven team.

Forward Deployed Software Engineers design and build data- and AI-powered applications for customer organizations. They collaborate with engineers and stakeholders, analyze large-scale data, make architecture decisions, engage directly with technical and executive users, and lead projects from ideation through deployment. The role requires strong coding, analytical problem-solving, teamwork, adaptability, and willingness to travel up to 25% to client sites.

Build and improve data processing infrastructure and query engines supporting Palantir Foundry. Develop query planning rules, native execution capabilities, and large-table performance improvements using technologies such as Apache Spark, DataFusion, Iceberg, Arrow, and Parquet. Contribute across design, coding, testing, code review, and release while emphasizing correctness, compatibility, and predictable performance.

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

Develop and maintain well-tested, extensible software that supports Affirm’s team projects and business goals. Collaborate with engineers and stakeholders, navigate and debug large codebases, participate in code reviews, communicate risks and trade-offs, and balance delivery speed with system quality and reliability. New graduates will receive mentorship and work across teams and technology stacks in a hybrid early-career program.

Develop and launch scalable full-stack search systems using JavaScript, TypeScript, Python, or Kotlin. Collaborate with engineers and stakeholders, balance delivery speed with system reliability, debug code, participate in code reviews, write tested and extensible software, and contribute to team growth and communication.

Build and improve MotherDuck’s cloud-connected DuckDB database systems, including dual execution, dynamic resource assignment, distributed execution, performance, and reliability. Lead cross-functional projects, debug production issues, collaborate with DuckDB Labs, mentor teammates, document expertise, and help shape embedded database architecture and user experience.

Build and evolve Notion’s iOS platform, including shared frameworks, architecture, testing, build systems, observability, CI/CD, and release-quality tooling. Partner with mobile AI and core product engineers to improve developer workflows, evaluate iOS capabilities, and drive adoption of platform standards. Use AI tools and agents to enhance engineering productivity while supporting a reliable mobile application used by millions.

Designs, develops, and maintains scalable backend, frontend, or infrastructure systems. The role owns features through deployment, improves performance and reliability, conducts code reviews, collaborates cross-functionally, documents technical processes, and evaluates emerging technologies. Experience with modern programming languages, cloud services, CI/CD, Docker, Kubernetes, system design, and distributed or real-time applications is valued.

Build Belisar’s platform as a full-stack engineer, owning features from architecture through delivery. Develop React and TypeScript interfaces, Python/Django backends, PostgreSQL data systems, AWS infrastructure, CI/CD, data pipelines, and applied ML/LLM capabilities. Work directly with customers and the founding team in a 0-to-1 environment, make architecture decisions, translate ambiguous problems into technical plans, and ship production-ready software quickly.

An early-career software engineering resident will build and deploy production services, use AI tools to accelerate development, improve system performance, and collaborate with product, design, and engineering teams. The 18-week program requires full-time, in-office work in New York City and offers potential full-time employment after completion. Residents are expected to ship a real contribution, apply strong computer science fundamentals, and work effectively in a fast-paced environment.

Design and implement data-driven solutions for clients, owning projects from planning through implementation. Responsibilities include technical architecture, large-scale data processing, custom web application development, client executive communication, and collaboration with product and strategy teams. The role involves frequent client-site work and requires proficiency in a programming language plus active U.S. security clearance or eligibility to obtain one.

Build frontend and backend features, data integrations, and AI workflows for legal casework. Collaborate directly with lawyers and legal engineers to understand needs, ship dependable software, troubleshoot usage, and improve products through feedback. Responsibilities include handling sensitive case information, testing software, investigating AI-generated output, and developing reusable solutions across legal teams.

Responsible for software engineering work; the description provides no further details about specific duties, technologies, qualifications, or work environment.

Build and operate the microVM infrastructure powering Baseten’s multi-tenant AI agent sandboxes. Own VM lifecycle operations, custom guest kernels, host CPU and memory tuning, resource density, startup and resume performance, storage and networking devices, and hypervisor-based security isolation. Debug issues across userspace, kernels, and hardware while contributing to open-source virtualization projects.

Build and operate automation, monitoring, diagnostics, validation, and repair tooling for Fluidstack’s large-scale datacenter network. Own fleet health, alerting, dashboards, network qualification, incident response, and reliability across sites. Develop production tools in Go and Python using network protocols and systems such as gNMI, gRPC, NETCONF, and SONiC. Automate fault detection, ticketing, RMA workflows, transceiver tracking, and return-to-service processes.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Design, build, and operate secure access proxies, gateways, credential brokers, and distributed identity infrastructure. Integrate authorization policies, observability, and identity attribution across systems. Improve performance, reliability, and multi-region recovery through testing, load validation, canaries, and failure testing. Own production support, incident recovery, migrations, APIs, client tooling, and self-service workflows while enforcing least privilege and auditable access.

Own and improve Baseten’s billing and revenue infrastructure, including pricing, invoicing, metering, reporting, and Orb integrations. Build internal tooling for quoting, approvals, renewals, usage reconciliation, and revenue reporting. Partner with Finance, Sales, GTM, and engineering teams while driving reliability, monitoring, incident response, production debugging, and scalable technical solutions.

Build and maintain end-to-end products across mobile, web, and backend systems. Responsibilities include developing scalable APIs, inventory and reorder models, hardware integrations, customer-facing features, system documentation, and resilient infrastructure. The engineer will independently make product decisions, engage directly with users, provide frontline support, and drive engineering excellence across a broad technology stack.

Own Custral’s mobile app end to end, including product decisions, React Native development, Node and Express APIs, offline state, synchronization, conflict resolution, push notifications, and app-store releases. The role requires shaping the mobile experience, maintaining feature parity with the web app, and making independent product and technical tradeoffs in an early-stage, five-day in-person environment.

Build and own Custral’s product end to end across frontend and backend. Design core functionality, shape product direction and architecture, work directly with users, and operate high-volume production systems. Use TypeScript, React, Node.js, PostgreSQL, Redis, and Elasticsearch while making independent technical decisions, researching solutions, communicating tradeoffs, and collaborating effectively in a fast-paced, in-person startup environment.

Own end-to-end delivery of web application features across Node.js and TypeScript backend services and React frontend interfaces. Integrate with third-party records systems, legacy software, and live voice services. Collaborate with product, design, and engineering teams to launch user-focused products, troubleshoot production issues, and improve service stability, performance, and capacity. Participate in technical design discussions, code reviews, and engineering practice improvements in a fast-paced startup environment.

Build internal web applications, APIs, integrations, AI-assisted workflows, knowledge repositories, dashboards, Slack bots, and PDLC automations. Connect tools such as Jira, GitHub, Notion, and data platforms with go-to-market systems. Prototype rapidly, collaborate across Product, Engineering, Program Management, Analytics, and commercial teams, and ensure secure, documented, auditable solutions.

Staff Software Engineer leading customer-centric, AI-native product development from discovery through production and adoption. Responsibilities include partnering with customers, product, and design; forming and testing product hypotheses; building new product surfaces; designing scalable architectures; using LLMs, agents, retrieval, and evaluation tooling; instrumenting outcomes; setting technical standards; mentoring engineers; and driving iterative delivery.