Senior Platform Engineer, Foundations

Chainalysis; New York (NY); Presencial; USD 180 000 - 240 000; Tempo integral

Resumo da oferta

Chainalysis is seeking a Senior Platform Engineer to design, operate, and optimize core platform services across AWS, Kubernetes, and streaming systems. You’ll own complex incidents, drive reliability, and build self-service tooling for engineering teams.

Join a security‑conscious, AI‑driven environment where you collaborate across Security, Cost Optimization, and R&D to raise platform standards and scale globally while reducing toil.

Qualificações

• Deep experience designing, operating, and troubleshooting production infrastructure in AWS, including IAM, EC2, EKS, RDS, MSK, S3, Lambda, VPC, and networking.
• Experience administering and scaling multi-tenant Kubernetes clusters and streaming platforms such as Kafka in production, including upgrades, workload isolation, reliability, security, and incident response.
• Experience building and maintaining infrastructure as code, pipeline-as-code, containerization, and cloud-native systems using Terraform, Helm, Ansible, Jenkins, GitHub Actions, Docker, or Kubernetes.
• Experience designing observability for production systems and tuning relational databases, ideally PostgreSQL, using tools such as Datadog or Prometheus.
• Strong software-engineering or scripting skills in Python, Go, Java, Scala, or shell, plus a track record of owning ambiguous cross-functional problems and communicating tradeoffs clearly

Responsabilidades

• Design, operate, and continuously improve highly available platform services, including managed Kubernetes clusters, Kafka, CI/CD systems, artifact management, and related shared infrastructure
• Build secure, scalable infrastructure across AWS and other cloud environments using infrastructure as code and repeatable automation
• Improve production reliability through well-defined SLOs, graceful degradation, self-healing, automated recovery, and effective incident response
• Create self-service workflows and platform abstractions that reduce cognitive load and help R&D teams ship and operate software more effectively
• Partner with Information Security, Cost Optimization, and engineering teams to strengthen controls, improve cloud efficiency, influence technical direction, and contribute to the platform roadmap

Conhecimentos

Python

Go

Java

Scala

Shell

Ferramentas

AWS

Kubernetes

Kafka

Terraform

Helm

Ansible

Jenkins

GitHub Actions

Docker

Artifactory

Backstage

Datadog

Prometheus

PostgreSQL

Descrição da oferta de emprego

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We are a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that helps organizations investigate illicit activity, manage risk exposure, and participate in the cryptocurrency ecosystem with confidence.

Platform Engineering provides the shared infrastructure, tooling, and developer experience layer that powers every engineering team at Chainalysis. The team is evolving toward consolidated, scalable platform patterns that support global growth, improve reliability, and reduce the operational burden on product engineers. We partner closely with Developer Productivity, Information Security, Cost Optimization, and R&D teams to provide secure, self-service paths from development through production.

As a Senior Platform Engineer, you will design, build, and operate the foundational services that enable Chainalysis engineers to deliver and run software safely. You will own complex technical work from inception through production, influence platform standards and roadmaps, and help create systems that are highly available, observable, secure, and easy for other engineers to use.

In this role, you’ll:

• Design, operate, and continuously improve highly available platform services, including managed Kubernetes clusters, Kafka, CI/CD systems, artifact management, and related shared infrastructure
• Build secure, scalable infrastructure across AWS and other cloud environments using infrastructure as code and repeatable automation
• Improve production reliability through well-defined SLOs, graceful degradation, self-healing, automated recovery, and effective incident response
• Create self-service workflows and platform abstractions that reduce cognitive load and help R&D teams ship and operate software more effectively
• Partner with Information Security, Cost Optimization, and engineering teams to strengthen controls, improve cloud efficiency, influence technical direction, and contribute to the platform roadmap

We’re looking for candidates who have:

• Deep experience designing, operating, and troubleshooting production infrastructure in AWS, including services such as IAM, EC2, EKS, RDS, MSK, S3, Lambda, VPC, and networking
• Experience administering and scaling multi-tenant Kubernetes clusters and streaming platforms such as Kafka in production, including upgrades, workload isolation, reliability, security, and incident response
• Experience building and maintaining infrastructure as code, pipeline-as-code, containerization, and cloud-native systems using tools such as Terraform, Helm, Ansible, Jenkins, GitHub Actions, Docker, or Kubernetes
• Experience designing observability for production systems and tuning relational databases, ideally PostgreSQL, using tools such as Datadog or Prometheus
• Strong software-engineering or scripting skills in one or more languages such as Python, Go, Java, Scala, or shell, plus a track record of owning ambiguous cross-functional problems and communicating tradeoffs clearly

You might also have:

• Experience with elevating developer productivity and the developer experience
• Experience building self-service tooling or reusable platform abstractions for engineering teams
• Interest in cryptocurrencies and blockchain technology, or curiosity and willingness to learn
• Experience operating in a security standards-compliant environment such as ISO 27001, NIST 800-171, or SOC 2

Technologies we use: AWS, Kubernetes, Kafka, Terraform, Helm, Ansible, Docker, Jenkins, GitHub Actions, Artifactory, Backstage, Datadog, Prometheus, PostgreSQL, and Python

AI at Chainalysis

AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.

About Chainalysis

Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more [here]( We can’t wait to meet you.