Senior Cloud Ops Engineer

SpyCloud, Inc.; Austin (TX); Ibrido; USD 130.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health benefits

Remote-friendly culture

Competitive salary and equity

401k matching

SpyCares

Descrizione del lavoro

SpyCloud, Inc. is seeking an experienced Cloud Ops Engineer to design, implement, and maintain scalable, secure infrastructure supporting APIs, AI workloads, and data pipelines.

You will automate deployment, testing, and monitoring while collaborating with product teams to push new features into production. A focus on security and compliance under SOC 2/ISO27001 is essential, with experience in SaaS environments.

Competenze

• 5+ years of professional experience in Cloud Ops / Platform Ops / DevOps
• Experience maintaining production infrastructure for SaaS or cloud providers
• Proficiency with scripting (Python, Bash) and Linux
• Experience with release automation and system debugging

Mansioni

• Design, improve, and maintain secure, durable, and performant infrastructure to power APIs, AI operations, web apps, and data pipelines
• Automate testing, deployment, and monitoring across the SDLC
• Collaborate with developers to bring new products into production
• Uphold security standards and compliance across infrastructure (SOC 2/ISO27001, etc.)

Conoscenze

Python

Bash

Linux

Terraform

Ansible

AWS CLI/SDK

Networking concepts

Troubleshooting

Containers

AI/ML systems

Strumenti

AgentCore

Databricks

Snowflake

VPC Lattice

Descrizione del lavoro

• Infrastructure Design and Maintenance:
• Design, improve, and maintain secure, durable, and performant infrastructure to power APIs, AI operations, web applications, and data mining/ETL workflows to meet established SLAs
• Collaborate with developers to bring new products and services into production
• Automation and Monitoring:
• Automate testing, deployment, and monitoring of all products and services throughout the software development lifecycle
• Continuously improve operational processes and apply best practices to ensure scalability, security, and availability
• Security and Compliance:
• Proactively meet standards for information security and compliance, such as SOC 2/ISO27001/CMMC
• Implement and uphold security measures across all infrastructure components

Benefits

• Health benefits: From medical to dental, we’ve got you covered.
• Work/life balance: We offer generous PTO and a remote-friendly culture.
• Compensation: Our talented employees enjoy competitive salaries and equity.
• 401k matching: Investing in the future of our employees is a no-brainer.
• SpyCares: We’re only as strong as the communities we’re a part of and giving back is in our DNA.

You are an experienced Cloud Ops Engineer who thrives in a fast-paced and AI-forward environmentYou have a passion for innovation, solid design principles, and high-quality developmentYou excel at designing, improving, and maintaining secure, performant infrastructure and enjoy automating processes to ensure efficiency and scalabilityYou are a proactive problem solver with a strong understanding of system and networking conceptsProfessional Experience:Proficiency with scripting languages such as Python, Bash, etc., and Linux environmentsExperience with release automation, system administration and configuration, and system debuggingStrong working knowledge of Terraform or similar tools, Ansible, AWS CLI/SDK, BotoAdditional Skills:Strong understanding of system and networking concepts and troubleshooting techniques for bare metal and containerized workloadsAt least 5 years of professional experience in a Cloud Ops / Platform Ops / DevOps role maintaining production infrastructure, preferably supporting a highly available environment for a SaaS or cloud service providerExperience supporting AI and ML systems, agent orchestration frameworks (e.g., AgentCore or similar), and experience integrating LLMs into production systemsTechnical Proficiency:Strong working knowledge of AWS services such as EC2, ECS or EKS, Lambda, API Gateway, RDS, DynamoDB, Cloudwatch, S3, Code/Build/Pipeline/Deploy, VPC Lattic etcDatabricks or Snowflake infrastructure experienceCost optimization for AI and LLM workloadsInternal developer platform experience