PlacingIT
Senior Software Engineer - Cloud Infrastructure - 1817
Redwood City, San Mateo County · Senior · Full-time
Sponsorship not specified$200k-$300kDetected 8 hours ago
PythonBashDistributed SystemsAWSGCPAzureCloud PlatformsDockerKubernetesTerraformHelmCI/CDDevOpsMachine LearningIncident ResponseElectrical EngineeringCommunicationCollaboration
About the role
- You'll join a small, collaborative engineering team with significant ownership and visibility, working across cloud infrastructure, Kubernetes, automation, and developer tooling.
Responsibilities
- Design and build highly available, scalable cloud infrastructure supporting production workloads.
- Architect and manage multi-cloud environments, with AWS as the primary cloud platform.
- Develop Infrastructure-as-Code using Terraform or Pulumi.
- Design, deploy, and manage Kubernetes clusters supporting compute-intensive applications.
- Write production-quality Python code to build infrastructure services and automation.
- Build monitoring, alerting, logging, and observability solutions to ensure platform reliability.
- Optimize infrastructure performance, scalability, reliability, and cloud costs.
- Respond to production incidents and implement long-term solutions that improve operational stability.
- Experience designing and building cloud infrastructure at production scale.
- We're looking for a Senior Software Engineer - Cloud Infrastructure to help design, build, and scale the cloud platform that powers a rapidly growing AI organization.
Requirements
- 4+ years of experience in Cloud Infrastructure Engineering.
- Strong experience architecting highly available, fault-tolerant distributed systems.
- Hands-on experience operating Kubernetes in production environments.
- Proven experience implementing Infrastructure-as-Code across multiple environments.
- Bachelor's degree in Computer Science, Electrical Engineering, or a related engineering discipline.
- Candidates should have strong experience with many of the following technologies:
- Required Qualifications
- Candidates should have strong experience with many of the following
Nice to have
- Experience designing infrastructure for distributed compute workloads.
- Multi-cloud architecture experience.
- Experience working in fast-paced startup environments.
- Proven ability to mentor engineers while remaining deeply hands-on.
Skills
- Python (production-level software development)
- Bash
- Go (preferred)
- Cloud & Infrastructure
- AWS (required)
- Google Cloud Platform (GCP)
- Microsoft Azure
- Oracle Cloud Infrastructure (OCI)
- On-premises infrastructure
- Platform & DevOps
- Kubernetes
- Docker
Compensation
- $200,000 - $300,000 Base Salary + Equity
Benefits
- Collaborate closely with engineering teams to support large-scale distributed systems and machine learning infrastructure.
- This is a highly technical, hands-on engineering role where you'll architect production infrastructure, write production-quality code, and build systems that support large-scale compute and machine learning workloads.
- Compensation: $200,000 - $300,000 Base Salary + Equity
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This listing is sourced directly from PlacingIT's careers page and normalized into a canonical job model.