Senior Security Engineer, Infrastructure
MAFull-timePosted 1 day agoStill listed 1 day ago
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Job overview
The Senior Security Engineer, Infrastructure will secure and operate the cloud and Kubernetes environments supporting Chainalysis products and its Hosted AI Platform. The role combines production operations with security engineering, including troubleshooting infrastructure, responding to alerts, and delivering improvements through Terraform and Kubernetes. The engineer partners with infrastructure, platform, AI, and other engineering teams to address risks and improve reliable operations.
Skills & qualifications
Skills
Qualifications
Full job description
About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
About the team Product Security at Chainalysis keeps our SaaS platform — used by governments, banks, and crypto exchanges to investigate financial crime — secure by design. We partner directly with product and platform engineering on threat modeling, design reviews, penetration testing, and remediation of findings across our AWS and Kubernetes estate. As a Senior Security Engineer, Infrastructure, you’ll help secure and operate the cloud and Kubernetes environments that support Chainalysis products and our Hosted AI Platform (HAIP). You’ll combine production operations with practical security engineering: responding to platform alerts, troubleshooting infrastructure, and shipping guardrails and improvements through Terraform and Kubernetes. You’ll work closely with Infrastructure Security, Platform Engineering, AI Core, and other engineering partners to address risks at their source and make secure, reliable infrastructure easier to operate. This is a hands-on engineering role for someone who is comfortable in a terminal, has supported production systems, and can take an infrastructure issue from investigation through resolution.
In this role, you’ll:
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Troubleshoot Kubernetes workloads and cloud services, investigating pod health, logs, errors, latency, and upstream provider issues to find root causes.
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Ship reviewed Terraform and Kubernetes changes that strengthen HAIP and broader cloud infrastructure security and reliability.
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Improve AWS and edge/network controls—including IAM, networking, secrets, encryption, logging, and Cloudflare—and reduce recurring misconfigurations through reusable patterns and runbooks.
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Use Python or similar scripting, monitoring improvements, and cross-team partnership to automate operational work and drive fixes through to completion.
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Participate in the AI Product on-call rotation, triage production alerts, communicate clearly, and escalate when needed.
We’re looking for candidates who have:
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Production cloud infrastructure experience, preferably in AWS, plus working knowledge of security controls such as IAM, networking, secrets, encryption, or logging.
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Hands-on production Kubernetes experience: inspect workloads, read logs, and troubleshoot failures using command-line tools.
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Experience authoring Terraform changes that have been reviewed and deployed to production; comfort shipping changes through Git and pull requests.
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Production on-call or incident-response experience, including alert investigation, clear communication, and sound escalation judgment.
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Python or similar scripting ability, familiarity with monitoring/logging tools
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Experience working with stakeholders across the R&D organization to collaborate and resolve security issues with urgency and a team-first approach.
Nice to have:
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Experience operating AI/ML infrastructure, LLM platforms, or services integrating with model providers; familiarity with AI gateway concepts such as model routing or quotas.
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Experience with Cloudflare or other edge/network security controls.
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Exposure to cloud security posture management tools such as Wiz, Prisma Cloud, or Orca.
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Experience with GitOps tools such as Argo CD or Flux.
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Familiarity with blockchain, crypto, fintech, or regtech infrastructure.
Technologies we use:
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Cloud and containers: AWS, GCP, Kubernetes (EKS/GKE)
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Infrastructure-as-Code: Terraform
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Security tooling: Wiz, SonarCloud, Burp, Cloudflare
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CI/CD and source control: GitHub, GitHub Actions, Artifactory and related build/deploy tooling
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Languages and scripting: Java, JavaScript, Python, Go
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AI Coding Agents, Tooling, Systems
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.
How this job compares
Set against the 4,252 open Security Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- Massachusetts median$141–205K/yr88 salary ranges
- US median$60–70/hr81 hourly ranges
- Openings
- Olive Jobs lists 104 open Security Engineer jobs in Massachusetts and 4,252 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in Massachusetts
- RTX Corporation8 open
- Anduril5 open
- Deloitte5 open
- Experience
- Security Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (3,643 postings).
- Education
- 1,290 of the 4,252 open Security Engineer jobs (30%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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