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Senior Software Engineer

Cast AI

Remote

PLN 240,000 - 320,000

Full time

Yesterday
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Job summary

A leading cloud technology company in Poland is seeking a Senior Software Engineer to work on optimizing Kubernetes and cloud solutions. Responsibilities include building reporting systems and automating cloud resource management to enhance efficiency. The ideal candidate should be skilled in Golang, Kubernetes, and possess strong debugging and performance-tuning abilities. This role offers a flexible remote-first global environment and a range of professional development benefits.

Benefits

Competitive salary (€6,500 – €9,000 gross, depending on experience)
Flexible, remote-first work environment
Private health insurance
Learning budget for professional development
Annual hackathon
Team-building budget and company events
Equipment budget
Extra days off for work-life balance

Qualifications

  • Experience with distributed systems and backend development, ideally in GoLang.
  • Strong debugging, optimization, and performance-tuning skills.
  • Deep understanding of cloud platforms and container orchestration.
  • Ability to work independently and collaboratively within a team.

Responsibilities

  • Work on different key features of the product.
  • Build a scalable reporting system for insights into cost savings.
  • Drive synchronization of public and customer cloud resources.
  • Automate Kubernetes node autoscaling for cost optimization.
  • Help customers deploying and managing LLMs in Kubernetes clusters.
  • Build a Kubernetes Security product to surface threats.

Skills

Golang
Kubernetes
PostgreSQL
AWS
GCP
Azure
Prometheus
Grafana
Loki
Debugging skills
Optimization skills
Performance-tuning skills
Job description
Senior Software Engineer @ Cast AI

Polska

Benefits
  • Competitive salary (€6,500 – €9,000 gross, depending on experience)
  • 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.
  • Private health insurance.
  • 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.
Tools we use daily
  • Languages: GoLang (primary), Python (secondary)
  • Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
  • Databases & Storage: PostgreSQL, Cloud Object Storage
  • Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
  • Observability: Prometheus, Grafana, Loki, Tempo
  • CI/CD & GitOps: GitLab CI with ArgoCD
  • Software engineering skills with experience in distributed systems and backend development (ideally GoLang, but not a hard requirement as long as you’re willing to transition to it)
  • Strong debugging, optimization, and performance‑tuning skills
  • Deep understanding of cloud platforms: hands‑on experience with AWS, GCP, Azure, and tools such as Kubernetes for containerization and orchestration
  • CI/CD and DevOps practices experience
  • Strong English skills, both verbal and written
  • Ability to work independently and collaboratively within a team
  • Startup mindset: adaptable, proactive, and comfortable with ambiguity
  • A proactive, problem‑solving mindset with a “yes we can” attitude
Responsibilities
  • As a Senior Software Engineer, you will have the opportunity to work on different key features of our product.
  • Reporting – Builds a scalable reporting system that ingests millions of rows per second into our time‑series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.
  • Pricing – Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross‑cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.
  • Autoscaler – Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real time, thereby reducing cluster costs by half.
  • Workload Optimization (WOOP) – Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.
  • AI Enabler – Helps customers deploying and managing LLMs in their Kubernetes cluster and optimizes their workloads by providing cost visibility and intelligent routing for LLM requests to the most cost‑effective compute resources (e.g. Grok, self‑hosted LLAMA models).
  • APA – An intelligent agentic system that not only detects application performance issues but proactively resolves them. By deeply integrating with observability stacks and leveraging Kubernetes, APA automates optimization, scaling, security, and recovery, enabling applications to run faster, cheaper, and more reliably.
  • Sec Posture – Builds a Kubernetes Security product that helps our customers secure their clusters, surfacing threats with the biggest potential security impact by ingesting millions of data points from vulnerability advisories, image scans.
Qualifications
  • Golang, Kubernetes, PostgreSQL, AWS, GCP, Azure, Prometheus, Grafana, Loki
  • Training budget, flat structure, small teams, equity
  • Strong debugging, optimization, and performance‑tuning skills
  • Deep understanding of cloud platforms and container orchestration
  • Experience with distributed systems and backend development
  • Strong English skills, both verbal and written
  • Ability to work independently and collaboratively within a team
  • Startup mindset: adaptable, proactive, and comfortable with ambiguity
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