Top Senior Backend Engineer Jobs in NYC, NY

Designs and operates large-scale distributed systems for customer placement, auto balancing, and autoscaling within CrowdStrike’s multi-tenant NG-SIEM platform. The role uses real-time usage data to optimize performance and resource utilization, investigates LogScale ingestion, storage, caching, and query behavior, and delivers reliable production features. Responsibilities include incident response, technical strategy, cross-team alignment, mentoring, and leading ambiguous scalability initiatives. The position is hybrid in Sunnyvale, Redmond, New York City, or Austin.

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.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Build, deploy, and maintain large-scale backend applications and high-volume, fault-tolerant infrastructure. Own complex projects from discovery through launch, improve system performance, reliability, and scalability, enhance testing and deployment infrastructure, secure sensitive data, and provide technical leadership, mentorship, and cross-functional collaboration.

Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.

Build and operate Affirm’s AI platform, including LLM and MCP gateways, agent runtimes, evaluation services, and governance controls. Design highly available backend systems, manage identity, quotas, routing, caching, reliability, observability, and security for AI workloads. Own projects from design through launch and on-call, establish engineering standards, collaborate across teams, mentor engineers, and help scale AI systems into production.

Design, build, deploy, and operate Philo’s scalable server-side ad insertion and programmatic advertising services. Develop resilient data pipelines, ad integrations, identity and measurement solutions, monitoring tools, and highly available microservices. Collaborate with ad ecosystem partners, video delivery, ad operations, data science, and business stakeholders to optimize ad delivery, reliability, performance, security, and compliance with industry standards.

In this role, you'll ensure the reliability and scalability of the NG-SIEM platform, manage incident responses, and collaborate across teams to enhance system performance.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Design, build, deploy, and operate scalable backend services, APIs, microservices, integrations, and cloud-native applications for enterprise learning platforms. Responsibilities include database design, security, testing, CI/CD, observability, troubleshooting, performance improvements, architecture reviews, and production support. The role collaborates cross-functionally and uses AI-assisted development tools to improve software delivery while maintaining quality and reliability.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Leads backend software engineering for secure, scalable, high-throughput systems. Develops and reviews production code, guides engineers and technical partners, influences architecture and technical operations, and promotes software development standards. Builds microservices, streaming and data-processing solutions using AWS, containers, orchestration, caching, and workflow tools. Drives responsible AI-assisted development practices, including validation for security, correctness, testing, resiliency, and delivery efficiency.

Own backend engineering from problem definition through production for a platform handling sensitive financial data. Design backend architecture, build transaction, billing, and reimbursement automation, collaborate with product and operations teams, and improve engineering tooling and processes. The role requires shipping scalable, privacy-critical server-side systems with minimal oversight in a small, fast-moving team.

Build and operate high-throughput backend and infrastructure services powering healthcare AI agents. Own core platform services end to end, design for concurrency and reliability, improve performance and observability, handle sensitive healthcare data, and influence architectural decisions. The role requires production experience with distributed systems, service design, debugging across services, queues, and databases, and on-site work in New York City or San Francisco.

Design, build, and own complex backend systems for a healthcare claims platform. Contribute to architecture, coding standards, testing, observability, infrastructure, and system health. Collaborate with product, data, DevOps, and business teams while mentoring engineers and using AI coding tools to improve productivity.

Build and own the Python backend for an AI-powered private equity solution. Integrate LLMs and multi-step agent workflows, develop data ingestion pipelines, optimize reliability and performance, and collaborate with cross-functional teams. Translate business needs into technical designs, communicate tradeoffs to non-technical stakeholders, present work to clients, and contribute to architecture and technical leadership.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Build and operate reliable backend integrations between AI agents and CRM platforms. Design event pipelines, asynchronous processing, APIs, synchronization, retries, reconciliation, and recovery systems. Ensure data integrity, secure authentication, correct multi-tenant routing, and dependable CRM actions such as customer lookup and appointment booking. Own production reliability through observability, testing, alerts, and operational tooling. Staff engineers additionally guide architecture and establish platform-wide engineering patterns.

Design, build, and scale backend services and APIs powering Pangram’s AI detection platform. Own AWS infrastructure, reliability, performance, observability, data pipelines, caching, and production model-serving integrations. Resolve scaling bottlenecks, establish engineering best practices for testing and deployment, and improve incident response. Collaborate with frontend and machine learning teams in a high-autonomy, on-site role.

Lead development of scalable backend services and data platforms using Scala and Rust. Design distributed systems, APIs, data pipelines, and security-data workflows; guide Scala-to-Rust migration; support Python-based malware analysis, threat detection, and machine learning systems. Own production reliability, architecture, code quality, reviews, deployment, observability, and incident response in a cloud-native environment.

Design, deploy, and optimize Philo’s distributed video streaming infrastructure, including ingest, transcoding, packaging, delivery, RESTful services, analytics pipelines, DRM, and ad insertion. Improve platform reliability, performance, latency, security, video quality, and cost efficiency. Collaborate with content partners and internal video, advertising, client, and data teams while supporting streaming quality across new platforms. The role also involves architectural ownership, cloud operations, and mentoring.

Develop and improve core software services supporting customer intake, application screening, and information dissemination. Design distributed, microservice-based systems; identify bottlenecks; improve reliability, scalability, and business logic; and contribute to modernization and architectural decisions. Work independently across the stack, communicate technical trade-offs, mentor junior developers, and use AI and automation tools to improve engineering outcomes.

Design and maintain scalable backend systems in a distributed microservices architecture. Build RESTful APIs, integrate third-party vendors, optimize SQL and NoSQL databases, and implement messaging, observability, CI/CD, and cloud infrastructure practices. Lead engineering initiatives from requirements through delivery, contribute to technical strategy, document systems, and improve reliability, performance, and scalability across user-facing applications.