Senior Platform and Security Engineer in Boston, MA - Remote

Location: Boston, MA - Remote

Role Summary

We are seeking a Senior Platform and Security Engineer to provide temporary onshore coverage for an existing member of the Platform and Security Engineering team during personal leave. The engineer will design, implement, and operate secure, reliable platform capabilities in Amazon Web Services (AWS) and must be able to integrate quickly into existing engineering workstreams and deliver work with minimal ramp-up or day-to-day supervision.

Strong hands-on AWS experience is required. The engineer must also have significant experience with OpenTofu/Terraform and modern Infrastructure as Code (IaC) engineering practices, along with strong Kubernetes and container technology experience. The engineer should be comfortable using modern AI-assisted development technologies to complement engineering work, improve productivity, and accelerate implementation while maintaining appropriate engineering review and quality standards.

Responsibilities

• Design, develop, and maintain scalable, automated, and secure platform solutions in AWS using OpenTofu/Terraform, including networking, identity, compute, storage, and Kubernetes services.
• Implement and operationalize platform security best practices, including system hardening, vulnerability management, secrets handling, least privilege, logging, monitoring, and secure-by-default engineering patterns.
• Deliver engineering tickets from beginning to end, including requirements clarification, solution design, implementation, testing, rollout, documentation, and operational handoff.
• Operate as a self-starter who can identify next steps, manage assigned work, resolve routine blockers independently, and maintain forward progress without requiring continuous direction.
• Work effectively with Kubernetes and container-based development and runtime environments using technologies such as Docker, Podman, and related container tooling.
• Use AI-assisted development technologies, including coding assistants and agentic development tools, where appropriate to complement engineering work, improve productivity, assist with testing and documentation, and accelerate problem solving.
• Critically review, test, and validate AI-generated code or recommendations rather than treating AI-generated output as authoritative.
• Develop and maintain automated tests for infrastructure code, including appropriate unit, integration, and validation testing.
• Develop automation and engineering utilities using Python, Bash, and related scripting technologies.
• Participate in code reviews, design reviews, troubleshooting, and engineering standards development.
• Work closely with Geode’s Tech Governance Group to review and enhance platform and security engineering processes and support security control and audit requirements.
• Maintain continuity of existing platform engineering initiatives and assume responsibility for active workstreams during the coverage period.

Required Qualifications

• 10+ years of experience in platform engineering, systems engineering, DevOps, SRE, cloud engineering, or a closely related discipline.
• Strong and significant hands-on experience with Amazon Web Services (AWS), including building and operating production workloads and platform services.
• Advanced experience with Infrastructure as Code using OpenTofu/Terraform.
• Strong hands-on experience with Kubernetes, including deploying, operating, troubleshooting, and supporting containerized workloads.
• Strong experience with container technologies, including Docker and/or Podman.
• Strong proficiency in automation and scripting using Python and Bash.
• Experience developing, testing, reviewing, and maintaining production-quality Infrastructure as Code.
• Practical experience implementing security controls, including hardening, vulnerability management, least privilege, secrets management, and logging/monitoring.
• Proven ability to take complex engineering work from requirements through production implementation with limited supervision.
• Demonstrated ability to work as a self-starter, manage assigned work independently, maintain momentum, and produce measurable engineering results.
• Demonstrated comfort with AI-assisted development technologies, such as GitHub Copilot, Claude Code, Codex, or comparable coding and agentic engineering tools.
• Ability to use AI development assistance responsibly, including reviewing generated code, validating technical assumptions, running required tests and quality gates, and ensuring resulting implementations meet security and engineering standards.
• Strong troubleshooting, analytical, communication, and documentation skills.

Preferred Qualifications

• Experience aligning platform and Infrastructure as Code engineering practices with SOC 2, ISO 27001, NIST 800-53, or similar security benchmarks and control frameworks.
• Experience with enterprise CI/CD platforms and secure software delivery pipeline design.
• Experience with automated Infrastructure as Code testing and validation.
• Experience incorporating AI-assisted engineering into established software development and Infrastructure as Code workflows while maintaining human review, testing, security, and change-control requirements.