Senior Cloud & Infrastructure Engineer – Security Platform

Overview

On Site
40 - 45
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Cloud Architecture
Platform Engineering
Cloud Infrastructure Engineer
AWS
Azure
CI/CD
IAM
Networking
Terraform
Pulumi
CloudFormation
Python
SRE
Cloud Security
Kubernetes

Job Details

Senior Cloud & Infrastructure Engineer – Security Platform Focus

Location: San Jose, CA

Role Overview

We are seeking a Senior Cloud & Infrastructure Engineer to support our cloud platform initiatives, automation efforts, and operational reliability across AWS and Azure environments.

This role blends cloud engineering, infrastructure reliability, automation development, and security-minded platform design.

The engineer should be capable of stabilizing cloud workloads, optimizing operational maturity, and building scalable patterns that improve availability and resilience.

Key Responsibilities

Cloud Architecture & Platform Engineering

Design, deploy, and enhance scalable infrastructure services across AWS and Azure.
Improve posture, configuration hygiene, and guardrail enforcement at the platform level.
Partner with platform and security teams to create resilient cloud architectures.

Infrastructure Reliability & Operations

Stabilize cloud infrastructure services by improving uptime, observability, and incident recovery.
Lead troubleshooting of operational failures, configuration drift, and deployment instability.
Automate operational workflows to minimize recurring issues and manual intervention.

Automation, Tooling & CI/CD Enablement

Build automation for cloud provisioning, configuration validation, and remediation workflows.
Improve CI/CD security and deployment efficiency through pipelines, controls, and tooling.
Develop reusable infrastructure modules to accelerate engineering velocity.

Systems, Identity & Control Integration

Integrate cloud identity, logging, telemetry, and monitoring into standardized platform patterns.
Provide cross-team guidance on secure workload enablement and operational best practices.
Improve cloud visibility and ensure system state reflects intended configurations.

Cross-Team Enablement & Advisory

Work closely with platform, detection, IAM, and compliance teams.
Provide architectural input to application and engineering teams adopting cloud services.
Share insights related to risk reduction, optimization, and operational scaling.

Required Skills & Experience

8–10+ years of experience in cloud or infrastructure engineering roles.
Strong proficiency with AWS and/or Azure architecture, services, networking, and IAM concepts.
Hands-on experience:
Infrastructure-as-Code (Terraform, CloudFormation, Bicep, Pulumi, etc.)
Automation tooling (Python, PowerShell, Go, etc.)
CI/CD systems (GitHub Actions, Azure DevOps, Jenkins, etc.)
Proven ability to diagnose and improve reliability issues, scaling constraints, or deployment failures.

Preferred Skills

Background in reliability engineering, SRE, cloud security, or operational automation.
Experience with logging, monitoring, and observability platforms.
Familiarity with multi-cloud or hybrid-cloud architectural design patterns.
Experience integrating cloud controls with platform enablement workflows.

Candidate Attributes

Operates with ownership and end-to-end accountability
Pragmatic and capable of stabilizing complex environments
Strong communicator who can influence without authority
Collaborative—comfortable working across multiple engineering domains
Able to design for both performance and operational safety

Success Measures

Higher platform availability and workload reliability
Automation reduces operational burden and manual interventions
Deployment pipelines become faster, safer, and more predictable
Engineering teams adopt platform controls and reusable patterns
Cloud architecture becomes more resilient and scalable
 

Preferred / Nice-to-Have Skills

Background in reliability engineering, SRE, cloud security, or operational automation.
Experience with logging, monitoring, and observability platforms.
Familiarity with multi-cloud or hybrid-cloud architectural design patterns.
Container and Kubernetes Experience (Nice to Have / Optional):
Operating Kubernetes clusters (EKS/AKS/GKE) or supporting containerized workloads
Understanding of orchestration fundamentals, cluster lifecycle, and workload identity
Exposure to Helm, container registries, admission controls, or cloud-

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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