Note - Screening Requirement: Please note that this position requires a minimum of 8+ years of hands‑on DevOps/SRE experience specializing in AWS, EKS/Kubernetes, Terraform, Python, Jenkins, and AI workflows (Mandatory skills).
We are looking for an absolute builder who has a proven track record of personally architecting, designing and setting up production‑grade AWS EKS clusters entirely from scratch. If your experience is primarily limited to managing, maintaining, or optimizing pre‑existing environments that were already stood up by another team, this is not the right opportunity for you.
Who are we?
Securin is an AI‑driven cybersecurity company focused on proactive, adversarial exposure and vulnerability management. Our mission is to help organizations reduce cyber risk by identifying, prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence / machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to deliver an adversarial approach to cyber defense. We help enterprises shift from reactive patching to strategic, risk‑based exposure and vulnerability management – driving smarter security decisions and faster remediation.
Key Responsibilities
- Architect and manage the end‑to‑end SaaS platform infrastructure on AWS, including EKS cluster design, VPC networking, IAM, and multi‑region availability.
- Build, maintain, and optimise Jenkins‑based CI/CD pipelines and develop Python automation scripts for provisioning, deployments, and runbook automation.
- Define and enforce platform SLOs/SLAs; own the observability strategy across logging, metrics, and tracing.
- Manage and participate in the on‑call rotation; act as escalation point for P1/P2 incidents and drive post‑incident reviews.
- Drive Infrastructure‑as‑Code (IaC) practices with Terraform/CloudFormation and champion a culture of automation and operational excellence.
- Collaborate cross‑functionally with product, security, and engineering teams to align infrastructure roadmap with business goals.
- Identify opportunities to leverage AI to automate operational and DevOps workflows.
- Design and implement AI‑assisted solutions for incident triaging, root cause analysis, log analysis, and performance optimisation.
- Drive the adoption of AI‑powered tools for infrastructure management, deployment automation, monitoring, and troubleshooting.
- Build intelligent workflows that reduce manual effort in release management, capacity planning, and operational support.
- Integrate AI capabilities into CI/CD pipelines to improve code quality, deployment reliability, and operational efficiency.
- Collaborate with engineering teams to automate repetitive tasks and improve developer productivity.
- Define best practices and governance for the safe and effective use of AI across DevOps processes.
- Measure and report on productivity gains, operational improvements, and cost savings achieved through AI adoption.
Requirements
- 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles.
- Deep hands‑on expertise with AWS services (EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route53, Lambda, etc).
- Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.
- Solid Python scripting skills for automation, tooling, and infrastructure management tasks.
- Experience with Infrastructure‑as‑Code using Terraform and/or AWS CloudFormation.
- Proven track record of architecting and managing end‑to‑end SaaS products in a cloud‑native environment.
- Strong understanding of networking fundamentals, security best practices, and compliance frameworks (SOC 2, ISO 27001 a plus).
- Hands‑on experience with on‑call processes and incident management frameworks.
Preferred Qualifications
- AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent.
- Familiarity with service mesh, secrets management (Vault, AWS Secrets Manager), and zero‑trust security models.
- Experience with multi‑tenant SaaS architectures and tenant isolation strategies.
- Knowledge of FinOps principles and AWS cost management tooling.
- Experience with database DevOps: RDS, Aurora schema migrations, and backup strategies.
Core Competencies
- Strategic Thinking – ability to translate business goals into scalable technical architecture.
- Operational Excellence – strong bias for reliability, automation, and continuous improvement.
- Communication – ability to clearly articulate complex technical topics to non‑technical stakeholders.
- Ownership Mindset – proactively identifies and resolves risks without waiting to be asked.
- Resilience Under Pressure – calm and decisive during incidents; leads by example in high‑stress situations.
Benefits
- A chance to be on the leading edge of cybersecurity and AI.
- Ability to have direct impact on company growth and revenue strategy.
- An opportunity to mentor and be mentored by experts in multiple disciplines.
At Securin, we live by a people‑first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best‑in‑industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home.