
51 - 200 employees
Founded 2014
âď¸ SaaS
đ¤ Artificial Intelligence
đ˘ Enterprise
đ° $2.2M Seed Round - Giant Swarm on 2015-03
SaaS ⢠Artificial Intelligence ⢠Enterprise
Giant Swarm is a platform engineering company that provides production-ready, open-source Kubernetes-based internal developer platforms and AI infrastructure. They deliver battle-tested stacks for observability, security, networking, GPU-optimized AI orchestration, and edge/IIoT, available as fully-managed or expert-supported deployments across multi-cloud and on-prem environments. Giant Swarm emphasizes data sovereignty, governance, predictable pricing, and knowledge transfer for enterprise platform teams to accelerate delivery, reduce ops cost, and enable production AI and modernized developer platforms.
đĽ 17 hours ago
đŠđŞ Germany â Remote
đľ âŹ60k - âŹ90k / year
â° Full Time
đĄ Mid-level
đ Senior
đˇđťââď¸ Engineer
đť Ghost score 0%
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51 - 200 employees
Founded 2014
âď¸ SaaS
đ¤ Artificial Intelligence
đ˘ Enterprise
đ° $2.2M Seed Round - Giant Swarm on 2015-03
SaaS ⢠Artificial Intelligence ⢠Enterprise
Giant Swarm is a platform engineering company that provides production-ready, open-source Kubernetes-based internal developer platforms and AI infrastructure. They deliver battle-tested stacks for observability, security, networking, GPU-optimized AI orchestration, and edge/IIoT, available as fully-managed or expert-supported deployments across multi-cloud and on-prem environments. Giant Swarm emphasizes data sovereignty, governance, predictable pricing, and knowledge transfer for enterprise platform teams to accelerate delivery, reduce ops cost, and enable production AI and modernized developer platforms.
⢠Partner directly with customers as an embedded technical expert ⢠Understand customer domains, data, systems, and business outcomes ⢠Identify realistic AI and agentic workflow opportunities ⢠Design, build, and ship proof-of-concepts and production-track agentic workflows ⢠Use MCPs, skills, and the agent platform to tailor solutions to customer environments ⢠Translate platform capabilities into solutions customer engineers can use and extend ⢠Collaborate with customer engineering teams through enablement, workshops, and pairing ⢠Help customers take ownership of delivered solutions ⢠Feed discovered patterns and product gaps back to the product team ⢠Support pre-sales conversations by scoping valuable AI use cases and building examples
⢠Practical, hands-on experience in a customer-facing technical role such as Solutions Architect or Forward Deployed Engineer ⢠Hands-on experience building with agentic AI, MCPs, agent frameworks, tool-using LLMs, or similar ⢠Ability to become productive quickly in unfamiliar business domains ⢠Solid working understanding of Kubernetes and cloud-native operations ⢠Clear and confident communication with customer stakeholders and engineers ⢠Ability to work comfortably with ambiguity ⢠Ability to align parts of the workday with Europe (UTC +/- 2 hours) ⢠Experience with developer relations, workshops, or technical enablement is a strong plus ⢠Prior Solutions Architect experience is a strong plus
⢠Fully remote work ⢠Formula-based salary calculator using objective criteria ⢠Equity may be included in the total package ⢠Benefits may be included in the total package ⢠Quarterly hackathons ⢠Bi-yearly personal development talks ⢠Budget for training, certifications, and coaching ⢠Regular feedback talks and workshops ⢠32-hour or 4-day workweek ⢠Minimum holiday allowance ⢠Employee choice of hardware and software ⢠Paid parental leave ⢠Monthly perks covering remote-work costs ⢠Company-wide meetings twice a year ⢠Conference attendance opportunities ⢠Transparent finance and salaries
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