Senior Keyfactor AgileSec Analytics Platform Engineer lead - Hybrid

Simple Solutions•Pittsburgh, PA

30d•Hybrid

About The Position

The Senior AgileSec Analytics Platform Engineer leads the end-to-end onboarding and operationalizing effort. This candidate brings deep platform experience, drives architectural decisions, and sets the standard for documentation and process repeatability across the engagement. This role is for a hands-on operator who owns certificate lifecycle, PKI, and machine identity at scale—and has been accountable for it in production environments. The candidate will own end-to-end certificate lifecycle management (issue, renew, revoke, rotate) across enterprise environments, build and maintain automated certificate workflows integrated into CI/CD pipelines, operate and scale PKI environments (internal CAs, intermediate chains, trust stores), and integrate Keyfactor with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps), Cloud platforms (AWS, Azure), and Infrastructure (F5, NGINX, IIS, Kubernetes). They will troubleshoot and resolve TLS/SSL handshake failures, broken trust chains, and certificate expiration incidents, and partner directly with engineering teams in an agile model to deliver security as code. This is not a cryptography- or PKI-heavy role. The need here is for a systems and analytics-focused integrator who can stand up and operationalize the platform itself. The Mid-Level to senior level AgileSec Analytics Platform Engineer executes platform configuration and integration tasks under the direction of a senior lead or the client's internal cryptographic team. This candidate brings solid hands-on technical skills, a continuous learning mindset, and the ability to translate complex configurations into clear procedural documentation.

Requirements

2–4 years of experience with API integrations, webhook/callback patterns, and secure credential handling.
Ability to troubleshoot connectivity issues using logs, network tools, and platform diagnostics.
Proficient Linux command-line user with scripting experience (Bash or Python); Kubernetes exposure is a strong plus.
Working knowledge of configuration management concepts; experience with at least one deployment automation tool is beneficial.
Working knowledge of OpenSearch or a comparable search/analytics stack (Elasticsearch, Splunk, etc.): indexing basics, dashboard creation, and query writing.
Experience setting up or supporting analytics/observability platforms in an enterprise context.
Demonstrated ability to write clear, structured procedural documentation for technical and non-technical audiences.
Comfortable communicating across security, infrastructure, and operations teams; proactive in flagging blockers.
Key concepts - system integrator, Linux and Opensearch back end, dashboarding, scripting.
5+ years of hands-on experience with API-based integrations, REST/webhook patterns, and secure credential management (secrets vaults, token rotation).
Demonstrated ability to diagnose and resolve complex system-to-system connectivity issues in production environments.
Strong Linux OS administration and/or Kubernetes cluster management experience, including scripting (Bash, Python, or similar) and error handling at scale.
Familiarity with deployment automation tooling (Ansible, Helm, Terraform, or equivalent) for analytics platform lifecycle management.
Advanced working knowledge of OpenSearch: index management, custom queries, dashboard development, and cluster performance tuning.
Experience operating or standing up comparable analytics/observability platforms (e.g., Elasticsearch, Splunk, Datadog, Grafana stack).
Track record of producing enterprise-grade operational runbooks and technical documentation consumed by both engineers and business users.
Excellent verbal and written communication; comfortable leading cross-functional workshops and stakeholder reviews.
System-to-system integration experience: API-based integrations, webhook/callback patterns, secure credential handling, and connectivity troubleshooting.
Linux OS or Kubernetes experience; command-line, scripting, or error handling.
Working knowledge of OpenSearch (indexing, queries, dashboards), which underpins the AgileSec platform today.
Experience standing up analytics or observability platforms and creating repeatable processes.
Familiarity with deployment automation and platform lifecycle management, including repeatable deployments, upgrades, and configuration management for analytics platforms.
Ability to translate technical configuration into clear procedural documentation.
Strong communication skills are to coordinate across security, infrastructure, and operations teams.
Proven experience managing PKI in production environments (not lab/theory).
Hands-on ownership of certificate lifecycle automation.
Strong understanding of TLS handshake and encryption fundamentals.
Strong understanding of Certificate chains (root/intermediate).
Strong understanding of CRL vs OCSP.
Experience with Keyfactor or comparable PKI platforms.
Scripting experience (PowerShell or Python) used in real-world automation.
Experience supporting production incidents related to certificates or encryption.

Nice To Haves

Kubernetes exposure is a strong plus.
Experience with at least one deployment automation tool is beneficial.
Direct exposure to the AgileSec Analytics platform or Keyfactor product suite.
Familiarity with Cipher Insights network discovery concepts.
Experience in environments with cryptographic or compliance requirements (awareness-level, not practitioner-level).
Direct experience with the AgileSec Analytics platform (any current offering).
Familiarity with Cipher Insights and its network discovery component.
Background working within cybersecurity or compliance-driven environments.
Experience supporting or onboarding Keyfactor products is a plus.
Experience integrating certificate management into CI/CD pipelines.
Exposure to cloud-native certificate services (AWS ACM, Azure Key Vault).
Experience in containerized environments (Kubernetes, ingress controllers).
Ability to translate security requirements into automated, scalable solutions.

Responsibilities

Lead platform architecture review and integration design for AgileSec Analytics within the client environment.
Establish repeatable deployment and configuration management frameworks, including automated upgrade and patching pipelines.
Own the full documentation lifecycle: from initial runbook creation through peer review, version control, and hand-off to the operations team.
Serve as the primary technical point of contact across security, infrastructure, and operations stakeholders.
Mentor mid-level team members and ensure knowledge transfer throughout the engagement.
Define monitoring and alerting standards for platform health and user activity within AgileSec Analytics.
Lead Cipher Insights network component configuration where applicable.
Execute API and webhook integrations following approved design patterns, ensuring secure credential handling and stable connectivity.
Administer Linux and/or Kubernetes environments for AgileSec platform services, applying configuration changes and managing routine upgrades.
Build and maintain OpenSearch dashboards and queries aligned with reporting requirements defined by the crypto team.
Author and iterate on operational runbooks for both system administrator and application-user audiences.
Participate in cross-functional planning sessions and translate technical configuration steps into accessible documentation.
Support monitoring and alerting configuration, escalating anomalies to the senior lead or client team.
Own end-to-end certificate lifecycle management (issue, renew, revoke, rotate) across enterprise environments.
Build and maintain automated certificate workflows integrated into CI/CD pipelines.
Operate and scale PKI environments (internal CAs, intermediate chains, trust stores).
Integrate Keyfactor with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps), Cloud platforms (AWS, Azure), and Infrastructure (F5, NGINX, IIS, Kubernetes).
Troubleshoot and resolve TLS/SSL handshake failures, broken trust chains, and certificate expiration incidents.
Partner directly with engineering teams in an agile model to deliver security as code.