Autopilot AI Solution Logo

Autopilot AI Solution

Backend Engineer, Infrastructure

Posted 2 Months Ago
Be an Early Applicant
In-Office
New York, NY, USA
180K-250K Annually
Mid level
In-Office
New York, NY, USA
180K-250K Annually
Mid level
Design, build, and maintain cloud infrastructure and backend systems for a trading platform. Improve deployment pipelines, developer tooling, observability, distributed systems, database performance, incident response, and recovery. Collaborate with engineering, product, and cross-functional teams to deliver secure, reliable, scalable solutions in a hands-on startup environment.
The summary above was generated by AI

Location: New York, NY (fully onsite 5 days)

Please note: We are unable to sponsor or take over sponsorship of employment visas at this time. Candidates must be authorized to work in the U.S. without current or future visa sponsorship.

About Us:

Autopilot is a next-gen trading app and registered investment advisor (RIA) that makes professional-style investing accessible to everyone. Users can autopilot the portfolios of politicians, public figures, and top investors, or create and launch their own fund for others to follow. Built for transparency and ease of use, Autopilot reimagines how people invest, manage, and grow their money.

Backed by notable investors such as Craft Ventures (Airbnb, Slack, Tesla), Nomad Ventures (Intro, Bezel), Balaji Ventures (Perplexity), Next Fund (7Signal), and TTV Capital (Bill, SmartAsset).

Autopilot is ranked among the Top 30 Most Downloaded Finance Apps. With over 3M+ million downloads, $1.8B+ in assets under management (AUM), and a rapidly growing community of 200k+ users, Autopilot is quickly becoming a leader in fintech.

Role Overview:

We’re seeking a Backend Engineer, Infrastructure to join our talented team as an early engineer. In this role, you’ll work closely with our founders and cross-functional teams to drive technical excellence, build and operate scalable infrastructure, and contribute directly to shaping the future of investing. This is a hands-on, highly impactful role in a fast-paced, engineering- and product-focused company.

Responsibilities

  • Design, build, and maintain robust cloud infrastructure and backend systems that power our trading platform.

  • Improve deployment pipelines, developer tooling, and observability to help our engineering team ship reliably.

  • Build resilient distributed systems, strengthen database performance, and improve incident response and recovery as we scale.

  • Collaborate with backend engineers, product managers, and cross-functional teams to deliver secure, reliable, and scalable solutions.

  • Drive impact in a hands-on capacity, directly contributing to a rapidly growing and innovative company.

Qualifications

2-5 years of professional experience as a backend engineer, ideally in a fast-paced startup environment.

  • Proficiency in TypeScript for backend development (open to other languages).

  • Experience with Google Cloud Platform (GCP) or similar cloud infrastructure.

  • Expertise in distributed systems, cloud infrastructure, deployment automation, and production reliability.

  • Proven track record of building and scaling backend systems to support rapid growth.

Nice-to-Haves:

  • Previous experience as a software engineer for trading, investing, or fintech platforms.

  • Previous experience working in hyper-growth start up.

  • Experience with integrations involving platforms like Robinhood, Stripe, Plaid, or similar platforms/apps.

  • Familiarity with AWS, GCP, or other cloud infrastructure.

  • Passion for building user-centered solutions and delivering impact.

  • A self-starter mentality with strong ownership and problem-solving skills.

  • Experience with some of these backend tech stacks: node.js, typescript, graphql, nest.js, gcp, google pubsub, postgres sql, etc.

Benefits:

  • Generous UNLIMITED PTO (and we mean it!).

  • Mandated two-week holiday shutdown at the end of the year for Christmas and New Year’s + company holidays.

  • Autopilot covers 100% of premiums for employee and dependent benefits (health, dental, vision).

  • Equinox memberships.

  • Top-of-the-line equipment: laptops, external monitors, standing desks, etc.

Equal Employment Opportunity:

Autopilot is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Work Authorization:

Candidates must be currently authorized to work in the United States. At this time, Autopilot is unable to sponsor employment visas or transfer existing visa sponsorships.

Similar Jobs

16 Days Ago
Remote or Hybrid
Brooklyn, NY, USA
165K-250K Annually
Senior level
165K-250K Annually
Senior level
Cloud • Digital Media • News + Entertainment • On-Demand
Build and operate Philo’s ML and LLM infrastructure, including AWS and Kubernetes platforms, GPU scheduling, model serving, inference optimization, monitoring, evaluation, experimentation, and CI/CD. The role establishes infrastructure best practices, reliability, security, scalability, and Infrastructure as Code while supporting recommendation, video classification, and agent workloads. It also involves collaborating with engineers and vendors to deploy, instrument, and manage production systems.
Top Skills: AirflowAlbAmazon BedrockAnthropicAWSC++CloudFormationCloudwatchDagsterDatadogDnsDockerDvcElasticacheElbElkFeastFluentdGitlabGoGrafanaHTTPIamInfluxdbJavaScriptJenkinsKubeflowKubernetesLakefsLinuxLitellmMetaflowMlflowNlbNvidia TritonOpenaiPgvectorPineconePrometheusPythonRagRayRdsRoute 53RubySqsTcp/IpTectonTensorrt-LlmTerraformTgiTickTypescriptVllmVpcWeaviateWeights & Biases
Yesterday
Hybrid
New York, NY, USA
165K-195K Annually
Mid level
165K-195K Annually
Mid level
Artificial Intelligence • Information Technology • Software
Build and own backend services, APIs, and event-driven systems; scale production infrastructure; and deliver end-to-end product features. Improve performance, reliability, observability, testing, security, CI/CD, and incident response. Collaborate with product, design, and engineering leadership, make architectural decisions, use AI coding tools responsibly, and contribute to code reviews and operational excellence.
Top Skills: APIsAWSCi/CdClaude CodeCursorElixirEvent-Driven SystemsGoHaskellKotlinLlmsMySQLPythonReactRelational DatabasesRustScalaTypescript
2 Months Ago
Hybrid
New York, NY, USA
180K-250K Annually
Senior level
180K-250K Annually
Senior level
Artificial Intelligence • Information Technology • Software
Own and evolve scalable backend systems and infrastructure powering educational products. Build end-to-end features, design APIs, operate production systems, improve observability and CI/CD, support reliability and incident response, and provide technical leadership through architecture discussions, code reviews, and mentorship. The role requires close collaboration with product and design teams, comfort with ambiguity, and occasional full-stack contribution.
Top Skills: APIsAWSCi/CdGoKotlinLlm ServicesMySQLPythonReactRustScalaTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account