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 optimize 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 champions 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 optimization.
● 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:
● 10+ 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).
● Strong Kubernetes experience: cluster management, Helm, autoscaling (HPA/KEDA). ● Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.
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● Solid Python scripting skills for automation, tooling, and infrastructure management tasks. ● Experience with Infrastructure-as-Code using Terraform and/or AWS Cloud Formation. ● 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.
Requirements
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 optimize 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 champions 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 optimization.
● 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:
Skills Required
- 10+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles
- Deep hands-on expertise with AWS services, including EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route 53, and Lambda
- Strong Kubernetes experience, including cluster management, Helm, HPA, and KEDA autoscaling
- Proficiency with Jenkins for complex CI/CD pipeline design and maintenance
- Solid Python scripting skills for automation, tooling, and infrastructure management
- Experience with Infrastructure as Code using Terraform and/or AWS CloudFormation
- Experience architecting and managing end-to-end SaaS products in a cloud-native environment
- Strong understanding of networking fundamentals, security best practices, and compliance frameworks
- Hands-on experience with on-call processes and incident management frameworks
- AWS Solutions Architect Professional, AWS DevOps Engineer Professional, or equivalent certification
- Familiarity with service mesh, secrets management, 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, including RDS, Aurora schema migrations, and backup strategies
What We Do
Securin is obsessed with helping leaders continuously improve their security posture. We partner with our customers using our tech-enabled services including Attack Surface Management, Vulnerability Management, Pentesting and Vulnerability Intelligence. As a US Department of Homeland Security sponsored CVE number authority, we have deep expertise in offensive pentesting and unique insights into the latest threats. Our capabilities allow us to continuously reduce your attack surface and provide predictive intelligence, so you can stay ahead of the bad actors. At Securin, we work as an extension of your team, providing the glue to create a security fabric that protects your organization.
