Build and maintain backend services in Go, manage distributed validator sets, and automate infrastructure with Kubernetes, Terraform, and AWS. Monitor performance and security, troubleshoot issues, and collaborate on architecture and scalable Web3 solutions to improve automation and operational efficiency.
Summary: Join as a Backend Developer at a leading decentralized middleware protocol company. Your role will focus on managing distributed validator sets and automating infrastructure through Infrastructure as Code (IaC) for Web3 developers. You will play a vital part in automating and streamlining processes, enhancing the efficiency and scalability of our operations.
Responsibilities:
- Develop and maintain backend services using Go programming language.
- Manage distributed validator sets to ensure optimal performance and reliability.
- Automate infrastructure deployment and management using Kubernetes (K8s), Terraform, and AWS.
- Collaborate with cross-functional teams to design, develop, and deploy scalable Web3 solutions.
- Monitor and troubleshoot system performance and security issues.
- Contribute to architecture and design discussions to optimize technology stack and processes.
Required skills:
- Strong proficiency in the Go programming language.
- Expertise in Kubernetes (K8s) for container orchestration and management.
- Hands-on experience with Terraform for infrastructure automation.
- Solid understanding of AWS cloud services and infrastructure management.
- Experience in managing distributed systems and validator sets.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and ability to work collaboratively in a team setting.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads to consult customers on Property & Casualty insurance, match products to needs, close policies, and complete required licensing. Participate in paid remote training, follow work-at-home standards, work set shifts including weekends, and meet performance and sales targets.
Healthtech • Software
Lead and scale AI platform and agent engineering teams to build AI infrastructure, agent runtimes, MLOps/LLMOps, prompt and skills lifecycle management, and forward-deployed engineering for healthcare customers. Drive platform reliability, security, observability, enterprise integrations, and operational excellence to deploy AI-powered solutions at scale.
Top Skills:
Agent PlatformsAgent Runtime SystemsAi InfrastructureAi Observability And MonitoringAWSCloud-NativeDocument ProcessingKnowledge Ingestion PipelinesLlmopsMlopsPrompt Lifecycle Management
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.
Top Skills:
AWSAzureCi/CdGitGoogle Cloud PlatformLangchainLlmsPandasPrompt EngineeringPythonPyTorchScikit-LearnSemantic KernelSQLVector Dbs
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



