Clark Logo

Clark

Senior Engineer, Platform

Posted 2 Days Ago
Be an Early Applicant
In-Office
New York City, NY, USA
140K-300K Annually
Senior level
In-Office
New York City, NY, USA
140K-300K Annually
Senior level
Build and operate customer-facing web applications and platform infrastructure across frontend, backend, data, integrations, and deployment. Design APIs, services, data models, background jobs, connectors, and AI-enabled workflows. Improve reliability, observability, scalability, security, testing, and production operations while partnering directly with customers and cross-functional teams. The role is fully onsite in New York City and requires strong ownership in a fast-moving startup environment.
The summary above was generated by AI
About Clark

Clark is building the trust infrastructure for the AI economy.

We're starting with audit and accounting workflows—high-trust environments where reliability, accuracy, and security matter as much as product functionality. Our platform helps firms automate complex workflows, deploy AI safely, and build more efficient operations while maintaining the rigor professional services require.

We're building a world-class engineering team focused on reliability, product excellence, and AI-native workflows.

 
The Role

We are hiring Senior Platform Engineers to build the product and systems through which customers experience Clark.

You will own features from initial customer problem through frontend experience, backend architecture, data models, integrations, deployment, and production operation.

This is a broad engineering role for someone who enjoys moving across the stack, working directly with users, and solving the highest-leverage technical problem regardless of where it lives.

You will help build customer-facing workflows, integrations, shared services, internal tools, and the engineering foundation that allows Clark to scale.

 
Why This Role Matters

Clark’s customers operate across complex workflows involving documents, accounting systems, workpapers, approvals, evidence, and collaboration. Our product must make those workflows simpler without sacrificing reliability, security, or control.

Full-stack engineers turn Clark’s AI capabilities into complete products that customers can deploy, understand, and trust. They also build the integrations and platform foundations that allow Clark to connect with existing systems and support increasingly complex enterprise workflows.

The systems you build will directly affect customer adoption, product velocity, reliability, and Clark’s ability to scale.

 
What You'll Do
  • Design and ship customer-facing product features from frontend through backend

  • Build intuitive interfaces for complex audit and accounting workflows

  • Design APIs, services, data models, background jobs, and application architecture

  • Work with AI engineers to turn AI capabilities into reliable, reviewable product experiences

  • Build integrations, connectors, synchronization systems, and data-ingestion workflows

  • Connect Clark with accounting platforms, document repositories, workflow tools, and customer systems

  • Build shared services and reusable product infrastructure

  • Improve application reliability, stability, scalability, and performance

  • Improve observability, monitoring, alerting, and operational tooling

  • Improve testing, deployment, and release processes

  • Investigate production issues and resolve performance bottlenecks

  • Integrate internal systems such as CRM, support, knowledge, communication, and operational tools

  • Partner directly with customers, Audit Engineers, Customer Success, Implementation, Sales, and Product

  • Translate ambiguous customer and business problems into well-designed technical solutions

  • Maintain high standards for security, data protection, maintainability, and operational excellence

  • Help establish the engineering practices and technical foundations that Clark will scale on

 
Who You Are
  • 5+ years of software engineering experience

  • Experience building and operating production web applications

  • Strong frontend and backend engineering fundamentals

  • Able to independently own features across user experience, application logic, data, and infrastructure

  • Experience designing APIs, data models, background processing, and integrations

  • Experience with modern web applications, relational databases, and cloud infrastructure

  • Strong product sense and empathy for customers

  • Comfortable working directly with users and incorporating feedback quickly

  • Excellent judgment around reliability, scalability, security, and maintainability

  • Comfortable debugging across application, integration, and infrastructure boundaries

  • Able to balance speed with long-term technical quality

  • High ownership, strong communication, and comfort operating in ambiguous environments

  • Excited to operate in person with a fast-moving, talent-dense team

 
Bonus
  • Experience building enterprise SaaS or complex workflow products

  • Experience building APIs, integrations, connectors, or data-synchronization systems

  • Experience with accounting systems, document-management systems, or professional-services workflows

  • Experience building products that incorporate LLMs or other AI capabilities

  • Experience with platform engineering, developer tooling, observability, or production reliability

  • Experience building internal tools and workflow automation

  • Experience with security, identity, access control, compliance, or regulated customer environments

  • Experience at an early-stage startup

The Environment
  • 5 days a week on-site in NYC — no remote or hybrid

  • Startup hours and pace — this isn't a 9-to-5

  • Flat structure, no hierarchy — everyone ships

  • High ownership — you own outcomes, not just tasks

Benefits
  • Unlimited PTO

  • Wellhub Platinum membership

  • Comprehensive health, dental, and vision coverage

  • Free company dinner every day

Similar Jobs

2 Days Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration.
Top Skills: Apache AirflowApache SupersetAWSAzureCi/CdData ModelingDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
7 Days Ago
Hybrid
New York, NY, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads an AI engineering team building scalable, responsible generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and governance. Establishes technical strategy, optimizes production AI systems for cost and performance, manages cloud deployments, translates enterprise goals into roadmaps, and develops engineering talent.
Top Skills: AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaMlopsPythonPyTorchVectordbs
11 Days Ago
Hybrid
New York City, NY, USA
129K-207K Annually
Senior level
129K-207K Annually
Senior level
Consumer Web • eCommerce • Marketing Tech • Payments • Software • Design • SEO
Design and build scalable media platform systems for uploading, processing, managing, and serving image, video, and audio assets. Own complex backend projects, develop reliable distributed systems and REST APIs, integrate cloud services and GenAI technologies, collaborate across engineering teams, mentor teammates, and participate in production on-call rotations.
Top Skills: CdnCockroachdbGenerative AiGoogle Cloud Platform (Gcp)JavaLlmsMicroservicesMongoDBRestful ApisSpring

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