---
title: 'Senior Software Engineer | Platform Engineering at Cast AI'
canonical: 'https://feeny.ai/job/senior-software-engineer-platform-engineering-cast-ai-estonia-finland-greece-3cse0233w8yr'
type: 'job'
last_seen: '2026-10-31'
---

# Senior Software Engineer | Platform Engineering at Cast AI

- **Company:** Cast AI
- **Location:** Estonia / Finland / Greece / Latvia / Romania / Sweden
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-31
- **Apply:** https://cast.ai/careers/apply/?gh_jid=4467006009

## Job description

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.

## About the role

A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.

The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.

What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.

Requirements:

- Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
- Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
- Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
- Experience with AI coding agents and agentic development workflows.
- You've personally driven a complex project end-to-end.
- Strong debugging, optimization, and performance-tuning skills.
- Strong English skills, both verbal and written.
- Startup mindset: adaptable, proactive, and comfortable with ambiguity.
- Participate in on-call rotation for teams that require it.

Nice to have:

- Kubernetes operators, Helm chart authoring, admission webhooks.
- Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
- Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
- Kubernetes or cloud-native OSS contributions.

Responsibilities:

- Design, build, and operate the CI/CD pipelines every engineering team ships through.
- Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
- Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
- Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
- Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
- Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.

Tools we use daily:

- Programming Language: Go
- Cloud & Orchestration: Kubernetes, GCP, AWS, Azure
- Infrastructure as Code: Terraform
- Databases & Storage: ClickHouse, Cloud Object Storage
- Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
- Observability: Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
- CI/CD & GitOps: GitLab CI, ArgoCD, Kargo

What’s in it for you?

- Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
- You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.

Hiring process

- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

## About Cast AI

## Company Overview
- **One-liner**: Cast AI provides an Application Performance Automation (APA) platform that continuously optimizes Kubernetes infrastructure for cost, performance, and reliability with minimal manual intervention.
- **Entity Type**: Private (Series C; total funding ~$185.8M–$199.9M per conflicting reports)
- **Headquarters**: Miami, Florida, United States
- **Founded**: 2019
- **Founders**: Leon Kuperman (CEO), Laurent Gil (President), Yuri Frayman (CTO)

## Core Business
- **Primary industry**: Kubernetes optimization, cloud cost management, and application performance automation.
- **Target customers**: Platform, SRE, and FinOps teams at B2B companies running Kubernetes (SMB to enterprise).
- **Mission/purpose statement**: “The cloud as promised: fast, reliable and cost-efficient.” [cast.ai/about-us](https://cast.ai/about-us/)

## Products & Services
- **Cast AI APA Platform**: A SaaS platform that ingests real-time workload, cost, and SLO signals to autonomously rightsize pods, scale nodes, optimize GPU and Spot instances, and self-heal operational issues. Supports AWS EKS, Azure AKS, Google GKE, and on-prem clusters. Includes cost and performance dashboards, agentic runbooks, and workload-aware predictive models. [cast.ai](https://cast.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Annual Revenue reported as ~$60M (LinkedIn); Total Funding ~$185.8M (LinkedIn) or ~$199.9M (CB Insights – conflicting reports).
- **Notable Investors/Partners**: Specific investors are not named in available sources; funding rounds include Series B ($35M, Nov 2023, 3 investors), a venture round ($20M, Mar 2023), and Series C ($108M, Apr 2025, 8 investors). [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai) | [cbinsights.com/company/cast-ai](https://www.cbinsights.com/company/cast-ai)
- **Growth Signals**: 2100+ customers globally; 40% cloud waste reduction claimed; 270 employees (+19.4% YoY); ranked #1 out of 223 solutions in its category; offices in Miami, New York, Vilnius, London, Tel Aviv, Bengaluru, Dallas. [cast.ai/about-us](https://cast.ai/about-us/) | [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)

## Competitive Advantages
- **Predictive engine trained on massive dataset** from thousands of clusters and millions of workloads – moves beyond rule-based automation to workload-aware decisions.
- **App-aware reliability**: Predicts spot instance interruptions up to 30 minutes before they occur, enabling graceful workload migration.
- **Agentic runbooks** that self-heal drift, image issues, policy violations while requiring human approval for changes.
- **Works in read-only mode initially** – no infrastructure changes required to start, lowering adoption risk.

## Strategic Focus
- Expanding automation to GPU/AI workload optimization alongside traditional Kubernetes rightsizing.
- Deepening integrations with cloud providers (AWS, Azure, Google) and extending agentic capabilities.
- Scaling global presence with remote-first teams and new offices in key tech hubs.

## Why Work Here
- **Remote-first** culture with flexible hours and fully supported remote work; offices available in multiple countries. [cast.ai/careers](https://cast.ai/careers/)
- **Benefits**: Stock options from day one, annual hackathon, home office allowance, learning & development budget, comprehensive health insurance, bonus days off, company events.
- **Engineering culture**: Values “practice customer obsession,” “develop and hire the best,” “lead by ownership,” and “expect and advocate change.” Emphasis on innovation and fast learning.
- **Glassdoor style**: Employer rating 4.3/5 (57 reviews); culture 4.0, compensation 4.2, career 4.2. [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)

## Sources
1. [cast.ai/about-us](https://cast.ai/about-us/)
2. [cast.ai](https://cast.ai/)
3. [cast.ai/careers](https://cast.ai/careers/)
4. [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)
5. [cbinsights.com/company/cast-ai](https://www.cbinsights.com/company/cast-ai)

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