Senior Platform Engineer – Security Specialist

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.

Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.

We have been recognized with:

• 3x AWS AI/ML award wins
• 3x NVIDIA Partner of the Year titles
• Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role: Senior Platform Engineer – Security Specialist

Experience level: 7+

Employment type: Full Time

Location: Remote (Netherlands)

Key Responsibilities:

• Design, build, and secure AWS platform infrastructure using IaC (CloudFormation / Terraform).
• Implement and manage security controls across AWS environments (IAM, KMS, Secrets Manager, Network Firewall).
• Build automated security guardrails and compliance checks using AWS Security Hub, Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines, including automated policy checks, vulnerability scans, and artifact integrity validation.
• Implement centralized logging and monitoring using CloudWatch, SIEM tools, GuardDuty, and VPC Flow Logs.
• Collaborate with application and DevOps teams to define secure architecture patterns, network segmentation, and zero-trust controls.
• Conduct regular security assessments, risk reviews, and threat modelling for workloads hosted on AWS.
• Enforce tagging standards, data-classification controls, and lifecycle policies across AWS resources.
• Support incident response activities, root-cause analysis, remediation planning, and post-incident improvements.
• Document platform security design, runbooks, best practices, and alignment with enterprise security standards.
• Manage and integrate security tools such as SIEM, DLP, Cloud Proxy, CASB, or Isolation systems when relevant to AWS workloads.
• Provide training and guidance to engineering teams on secure AWS usage, identity governance, and least-privilege access.
• Travelling to client location as needed.
• Experience integrating AWS environments with Security Operations Centers (SOC) for real-time alerting, threat detection, and incident escalation workflows.

Must Have Skills:

• Overall 7+ years of Experience in AWS Cloud platform/security engineering and 3-5 years of experience in cloud security/cybersecurity.
• Deep knowledge of AWS security services: IAM, KMS, Security Hub, GuardDuty, AWS Config, VPC Security, WAF, Network Firewall.
• Strong understanding of cloud security models, zero-trust principles, least privilege, encryption, data protection, and network security fundamentals.
• Hands-on experience with either of IaC tools: CloudFormation, Terraform, CDK.
• Proficiency in scripting languages such as Python or Bash for automation.
• Experience setting up centralized logging, SIEM integrations, and security event monitoring.
• Strong understanding of CI/CD security, artifact scanning, secrets management, and pipeline hardening.
• Knowledge of network security tools and concepts: firewalls, proxies, routing, segmentation, DLP, isolation appliances.
• Familiarity with compliance frameworks (GDPR, HIPAA, PCI, SOC2) and ability to enforce security baseline standards.
• Strong analytical and troubleshooting skills to resolve platform and security issues.
• Excellent communication and collaboration skills to work across cross-functional engineering and security teams.
• Exposure to advanced data protection practices such as data classification, DLP controls, encryption strategy design, and secure data lifecycle management

Certifications:

• At least one AWS Certification (Solutions Architect/DevOps Engineer/Security Specialty preferred).

Good to Have Skills:

• Experience securing multi-cloud (AWS + GCP/Azure) environments.
• Experience with container security for ECS/EKS (image scanning, runtime protection, IAM roles for tasks).
• Knowledge of SIEM platforms like Sumo Logic, Splunk, or Datadog.
• Experience with AWS Macie, Detective, and advanced data governance solutions.
• Exposure to zero-trust security, identity federation, and SSO (Azure AD/Okta).
• Familiarity with incident response processes and playbook automation (SOAR).
• Experience designing isolation, or exfiltration-prevention controls.
• Additional security certifications (CISSP, CISM, CCSP, AWS Security Specialty)
• Understanding of SOC processes, including Tier-1/2/3 triage, playbook execution, case management, ticketing systems, and threat intelligence enrichment.
• Hands-on knowledge of security incident management, including detection, investigation, containment, eradication, recovery, and post-incident reviews.

What is in it for you:

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.