Senior Software Engineer

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About the job

Why Cast AI?

Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity automatically.

Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.

Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the worlds most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ.

Whats next? Backed by our $108M Series C, were doubling down on making APA the new standard for DevOps and MLOps, and everything in betwe

Core values that hold us all together

PRACTICE CUSTOMER OBSESSION. Focus on the customer journey and work backwards. Strive to deliver customer value and continuously solve customer problems. Listen to customer feedback, act, and iterate to improve customer experience.

LEAD. Take ownership and lead through action. Think and act on behalf of the entire company to build long-term value across team boundaries.

DEVELOP AND HIRE THE BEST. Strive to raise the performance bar by continuously investing in yourself, the team and by hiring the best possible candidates for every position. Drive towards personal development and professional growth, and mentor others to raise the collective bar.

EXPECT AND ADVOCATE CHANGE. Strive to innovate and accept the inevitable change that comes with innovation. Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect. Once a path is chosen, be ready to disagree and commit to a direction.

What does the Runtime Security Team do?

The goal of the Runtime Security Team is to develop part of a Kubernetes Security Posture Management (KSPM) product that acts as a last line of defense for our customers, detecting any malicious activity going on in our customers' Kubernetes clusters, notifying the customer, and also blocking this activity.

While Most Other Parts Of The Cast AI KSPM Product Look For Potential Threats Based On Current Configuration, Runtime Security Analyzes What Is Actually Happening In The Cluster To Surface Malicious Activity. For Example, Runtime Security Detects These Indicators Of Compromise

• Crypto miners or known hacking tools being executed
• Container drift
• Unexpected writes to sensitive files such as /etc/passwd.
  
  

The Runtime Security Team is responsible for their part of the product end-to-end, including developing an agent that audits Kubernetes workloads using eBPF on the Linux kernel layer, designing and implementing new detections for malicious activity, collecting and processing vast amounts of data from the customers clusters to enable these detections, and surfacing the most valuable insights from all of this collected data.

We are looking for a Senior Security Engineer to join our Security Product team. In this role, you will propose new ideas and improvements, collaborate with peers on the architecture, and implement new software solutions for container and network security.

Responsibilities

As a Senior Software Engineer, you will work in a highly skilled team and collaborate throughout the full development lifecycle.

• Participate in feature brainstorming, requirement gathering, and customer needs solving
• Design and architecture software, leveraging your experience to ensure scalability, maintainability and performance
• Write clean, maintainable and documented code using best practices and coding standards
• Ensure software reliability through test coverage and local testing
• Contribute in maintaining CI/CD pipelines, monitoring and alerting stack
• Respond to incidents to resolve customer issues or service disruptions.
  
  

Here Are Some Of The Tools We Use Daily

• GoLang is our main language
• eBPF for tracing workload execution
• ClickHouse and PostgreSQL for persistence
• GCP Pub/Sub for messaging
• gRPC for internal communication
• REST for public APIs
• Kubernetes, which our product is evolving around
• AWS, GCP, and Azure cloud providers, which are currently supported in our platform
• We use GitLab CI with ArgoCD as our GitOps CD engine
• Prometheus, Grafana, Loki, and Tempo for observability.
  
  

Requirements

• You have to be physically in any of the European countries GMT 0 to GMT +3
• Experience building products in the CyberSecurity Domain
• Strong software engineering skills
• CI and git knowledge
• Strong experience with Linux Containers
• Experience with network security and networking technologies
• Thorough understanding of the latest security principles, techniques, and protocols
• Experience Policy enforcement engines, writing policies and rules
• Strong analytical, problem-solving, and troubleshooting skills
• Strong verbal and written communication skills
• Ability to work independently or with a group
• A yes we can attitude.
  
  

What's in it for you?

• Join a fast-growing, cutting-edge company thats redefining cloud-native automation and optimization.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Enjoy a flexible, remote-first work environment with opportunities to travel and engage with customers worldwide.
• Receive a competitive compensation package, equity options, and extensive benefits.
• Benefit from a short feedback loop, where our customer-oriented approach means we ship code changes fast to receive customer feedback immediately.
• Experience focus time with a minimum of meetings, bureaucracy, and overhead.
• Dedicate 10% of your time to self-improvement and personal projects.
• Earn a monthly salary up to 9000 depending on the level of experience.
  
  

CAST AI is the leading Kubernetes automation platform for AWS, GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience.

Whats unique about CAST AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, improving performance and reliability, and boosting DevOps and engineering productivity.

CAST AI has around 200 employees globally and is headquartered in Miami, Florida.