Sr. Engineer - Systems Infrastructure
On-siteBengaluru, Karnataka, India
Job Summary
Design, build, and operate the Next-Gen SIEM Lab's multi-cloud infrastructure across AWS, Azure, and GCP, including hub-and-spoke networking, VPCs, and transit gateways. Deploy, configure, and maintain a fleet of third-party security products such as firewalls, email security appliances, and threat intelligence platforms. Develop reusable Infrastructure-as-Code modules in Terraform and manage CI/CD pipelines to automate provisioning and lifecycle management. Build and run an automated event-simulation platform using AWS Lambda, Docker, and Kubernetes to generate realistic test data for connectors. Implement automated patch and compliance management across regions and time zones while automating access provisioning with least-privilege IAM principles. Partner with Technology Ecosystem and Business Development teams to procure licenses and coordinate security reviews. Provide on-call support for critical lab and production issues and maintain technical documentation including architecture diagrams and runbooks.
Required Qualifications
- 10+ years of experience in cloud infrastructure, network security, and/or systems infrastructure engineering
- Strong hands-on expertise with AWS (VPC, Transit Gateway, IAM, EC2, Lambda, Systems Manager, CloudWatch, Secrets Manager)
- Working knowledge of Azure and/or GCP networking, identity, and IAM/RBAC
- Proven experience with Infrastructure-as-Code (Terraform) and version control (GitLab/Git) for provisioning and managing cloud infrastructure at scale
- Solid networking and network-security fundamentals — routing, VPN, DNS, subnetting, transit/hub-and-spoke design, and firewall administration
- Hands-on experience deploying, configuring, and administering enterprise security products — firewalls / NGFW (Palo Alto, Check Point, Fortinet, Cisco ASA), IDS/IPS, F5 load balancers, and/or identity, email-security, or cloud-security platforms
- Proficiency in at least one programming/scripting language, preferably Python, and comfort with Linux administration and Bash scripting
- Experience with CI/CD pipelines, Docker, and Kubernetes
- Strong documentation, communication, and cross-team collaboration skills, and the ability to support internal stakeholders effectively
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
Desired Qualifications
- Experience with CI/CD-driven infrastructure automation and container workflows (GitLab CI, JFrog Artifactory, Kubernetes)
- Familiarity with cloud-native logging/monitoring services (AWS CloudWatch, Azure Monitor, GCP Logging) and secrets management (Thycotic/Delinea, AWS Secrets Manager)
- Experience building self-service / provisioning-automation platforms that reduce operational toil
- Exposure to SIEM/XDR data ingestion, log formats (Syslog, CEF, LEEF, JSON, XML), or security detection/threat-research workflows
- Relevant certifications (AWS Solutions Architect / Advanced Networking / Security, HashiCorp Terraform Associate, CCNP, firewall vendor certifications)
- Experience with Active Directory / Windows Server and hybrid on-prem + cloud environments
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