Infrastructure Software Engineer (Kubernetes)
Join Cresta as a senior Infrastructure Software Engineer to design and build core infrastructure for AI-driven customer experiences.
Posted by employer 1 year ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Cresta’s unified AI platform combines conversational AI agents and real-time human agent augmentation.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Infrastructure Software Engineer focuses on enhancing Cresta's core infrastructure to support efficient and secure engineering workflows. Key skills include proficiency in Kubernetes, coding in Golang or Python, and experience with cloud services like AWS and Google Cloud. This position is ideal for seasoned professionals with over five years in DevOps or related fields, who thrive in a collaborative yet autonomous environment. Cresta's commitment to AI-driven customer experiences positions the team at the forefront of technological innovation.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Cresta's career page.
- Cresta has 94 other open roles including Program Director, Sales Development Manager - West, Sales Development Manager - East.
- 6527 active Python roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 2568 active Kubernetes roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Infrastructure Software Engineer (Kubernetes) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, CI/CD, CloudFormation, GitOps, Golang, Kubernetes.
- What seniority level is this role?
- Cresta targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Infrastructure Software Engineer (Kubernetes) role at Cresta.
From the original posting
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.
Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
About the role:
Responsibilities:
- Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
- Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
- Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
- Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
- Automate operations and engineering. Focus on automation so we can spend energy where it matters.
- Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.
What we are looking for:
- 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
- Deep proficiency with coding languages such as Golang or Python.
- Deep familiarity with container-related security best practices.
- Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.
- Production experience with Kubernetes templating tools such as Helm or Kustomize.
- Production experience with IAC tools such as Terraform or CloudFormation.
- Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
- Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
- Production experience with database software such as PostgreSQL
- Experience with GitOps tooling such as Flux or Argo.
- Experience with CI/CD such as GitHub Actions.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai