Senior Security Engineer, Platform Security

Chainalysis Inc.

Senior Security Engineer focusing on blockchain security in AWS and Kubernetes environments. Collaborating across teams to enhance security posture and operational resilience.

Posted 6/10/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $130,000 - $247,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudGrafanaKubernetesPythonTerraform

About the role

Key responsibilities & impact

Perform Cloud Infrastructure Engineering in AWS and Kubernetes-based production environments, including inspecting pod health, reviewing logs, diagnosing restarts, and helping determine root cause or escalation paths.
Use monitoring and logging tools such as Datadog, Grafana, Humio, ELK, or similar platforms to investigate incidents, search logs, and validate system behavior.
Contribute Python scripts and small automation workflows for repetitive tasks, log parsing, remediation support, or operational efficiency.
Participate in an on-call rotation supporting the company’s Hosted AI Platform, providing structured triage, communication, documentation, and resolution or hand-off as needed.
Read and make targeted, well-reviewed changes to Infrastructure-as-Code and platform configuration, including Terraform and Kubernetes manifests, to strengthen guardrails and reduce operational risk.
Support security reviews for new services and major infrastructure changes, helping identify misconfigurations and recommending practical mitigations that fit how teams build and operate.
Collaborate with partners across Security, IT, Platform Engineering, Legal, Risk, and Investigations, building strong working relationships and practicing clear, empathetic communication.

Requirements

What you’ll need

Experience working in AWS cloud environments in a security, operations, or infrastructure engineering capacity.
Hands-on experience troubleshooting production systems; this is not a purely policy, audit, or advisory role.
Experience using Python for scripting, automation, log parsing, or remediation workflows.
Familiarity with AWS logging and telemetry pipelines, including CloudWatch, CloudTrail, and S3 log aggregation.
Hands-on Kubernetes & Terraform experience, including inspecting pods, reading logs, troubleshooting restarts, and navigating deployments in production.
Willingness to participate in an on-call rotation once every four weeks supporting the company’s Hosted AI Platform.
Strong communication skills, with the ability to explain what you’re seeing and what you recommend as a next step to both technical and non-technical audiences.
A learning mindset and growth orientation: you’re comfortable asking questions, seeking feedback, and taking ownership.

Benefits

Comp & perks

Offers Equity
Offers Bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Cloud Infrastructure EngineeringAWSKubernetesPythonTerraformlog parsingautomation workflowstroubleshootingInfrastructure-as-Codesecurity reviews

Soft Skills

communicationcollaborationproblem-solvingempathyownershiplearning mindsetgrowth orientationtriagedocumentationrelationship building