Senior Platform Engineer

27 ott - Italia
Swissblock Technologies

pAt Swissblock, we are passionate about creating cutting-edge algorithmic trading strategies for the cryptocurrency market using in-depth market analysis. Our software engineers create and maintain the automated trading platform, which covers data ingestion, strategy generation, order execution, and portfolio management. /p pAs a Senior Platform Engineer, you will improve, maintain and operate the platform underpinning our algorithmic trading system in Google Cloud Platform (GCP), consisting of execution clusters, network architecture, identity and access management, infrastructure and application security, CI/CD, observability, and more. /p h3Your role /h3 pWe are looking for a highly skilled Senior Platform Engineer with experience in deploying scalable enterprise-grade applications in a GCP / Kubernetes environment. You will work with strategic partners such as quant engineers, data scientists, and quant researchers. Together with your team, you will design and implement system architecture, apply SRE and DevOps best practices, perform infrastructure migration, capacity planning and security audits, and enhance automation, resource scaling, cost optimization, monitoring, and troubleshooting. You will also drive AI-powered automation and introduce AI-assisted workflows and practices across the team. Most importantly, you will ensure continuous availability and reliability. /p h3Key responsibilities /h3 ul liDrive in-depth analysis of architecture, design and implementation of our system /li liMaintain and enhance the existing infrastructure /li liConduct architecture reviews, support vulnerability and incident response /li liDrive and track progress of infrastructure changes from concept to production /li liPerform workload and complexity assessments /li liRun security audits /li liInfluence the technical direction of new services and initiatives /li liWork with engineers to define and uphold our concepts, SRE,



and DevOps best practices /li liEvaluate and roll out AI-assisted tooling for the engineering team /li liAt least 5 years of working experience with operating production infrastructure /li liDeep knowledge and experience in GCP and Kubernetes at administrator level /li liObservability administration knowledge (Prometheus, Grafana, Loki) /li liInfrastructure as code experience in a CI/CD DevOps environment (Terraform, GCP Config Connector, Argo projects) /li liUnix, Linux, shell scripting, and networking experience /li liSolid working knowledge of infrastructure security, including secret and encryption management /li liStrong interest in AI methodology and automation /li liProactive automation mindset, with a drive to remove repetitive work /li liStrong analytical and problem-solving skills, with a proactive attitude /li liStrong sense for quality, reliability, and genuine curiosity to learn new things /li /ul h3Preferred qualifications /h3 ul liHands-on experience applying AI-assisted workflows and automation in engineering or operations /li liDeep understanding and experience in infrastructure and application security, including keystore management /li liDevelopment know-how to support software engineers (Go, Python, REST APIs) /li liRelational, NoSQL, and time series databases hands‑on skills (PostgreSQL, MongoDB, ClickHouse) /li liMiddleware administration knowledge (NATS) /li liExperience in operating algorithmic trading infrastructure /li /ul h3What we offer /h3 ul liUnique opportunity to work on new, cutting-edge technology in financial trading /li liSelf‑funded and already profitable international company in a future‑proof market /li liGreat culture and team spirit with flat hierarchy and quick decision‑making /li liWork‑life balance with a remote‑first culture (Europe or onsite in Zug, Switzerland)Competitive compensation scheme with an annual premio /li li25 days of annual leave, pension, insurance and regular company events /li /ul #J-18808-Ljbffr

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