Kraken (Payward, Inc.) was founded in 2011 with the goal of facilitating the adoption of cryptocurrencies globally. The company operates a cryptocurrency exchange that allows users to trade digital assets securely, with a focus on operational transparency and security. Its primary customers include individual traders and institutional clients seeking reliable crypto trading services. Kraken's emphasis on security and compliance distinguishes it within the digital asset market.
🪙 Crypto⛓️ Blockchain🤝 B2B🛍️ B2C
Site Reliability Engineer - Telemetry
~30 days ago
🦅 AMER+8🇧🇷 Brazil 🇺🇾 Uruguay 🇵🇪 Peru 🇨🇴 Colombia 🇦🇷 Argentina 🇵🇾 Paraguay 🇨🇦 Canada 🇨🇱 Chile🇧🇷 Brazil🇺🇾 Uruguay🇵🇪 Peru🇨🇴 Colombia🇦🇷 Argentina🇵🇾 Paraguay🇨🇦 Canada🇨🇱 Chile
•🏠 Remote
•☁️ DevOps
•⚙️ Mid-Level
•🕛 Full Time
Description
Work across metrics, logs, traces, alerting, dashboards, and profiling systems that make our platform observable at scale.
Help keep the systems that collect, store, query, and route operational data reliable and scalable.
Operate and improve the shared platform for metrics, logs, traces, alerting, dashboards, and profiling.
Maintain metrics collection, long-term storage, querying, dashboards, and alerting using Prometheus-compatible systems, VictoriaMetrics, Grafana, and modern alerting tools.
Operate log pipelines using Vector, Splunk, and Loki, including reliability, throughput, and troubleshooting.
Operate distributed tracing and profiling capabilities using Grafana Alloy, Tempo, OpenTelemetry, and Pyroscope.
Deploy and manage telemetry services using Terraform, Terragrunt, and container orchestration across multiple environments.
Build reusable configuration and automation that helps teams manage dashboards, alerts, and telemetry integrations safely.
Participate in incident response and on-call, write runbooks, and improve the platform using what we learn from incidents.
Requirements
3+ years of experience as a Site Reliability Engineer, Platform/Infrastructure Engineer, Observability Engineer, or similar production engineering role.
Comfortable managing production systems at scale that collect, process, store, and serve telemetry such as metrics, logs, traces, or profiles.
Experience with Prometheus or a Prometheus-compatible monitoring stack, including metrics collection, querying, and alerting.
Experience troubleshooting distributed production systems, including availability, latency, data flow, and capacity issues.
Experience with Infrastructure as Code, particularly Terraform, and CI/CD.
Experience operating containerised workloads with Nomad, Kubernetes, or similar platforms.
Solid scripting/programming ability and comfort using AI tools and agents (e.g., Claude) to accelerate delivery.
Strong incident response, documentation, and collaboration skills.
Experience with VictoriaMetrics, Grafana, Tempo, Loki, Vector, Splunk, Alertmanager, or OpenTelemetry.
Experience with PromQL or LogQL, dashboards or alerts as code.
Experience with maintaining operators and their related CRDs in Kubernetes.
Experience with Consul, Vault, AWS, and on-premises or datacentre infrastructure.
Experience operating high-volume logging, streaming, or data pipelines.
Experience making practical trade-offs between observability data volume, performance, and cost.
Background in highly regulated or financial services environments where change management and audit trails are critical.
Benefits
Applications are accepted on an ongoing basis.
Payward is an equal opportunity employer and celebrates diverse talents and backgrounds.
🇪🇸 Spain+3🇺🇦 Ukraine 🇵🇹 Portugal 🇵🇱 Poland🇺🇦 Ukraine🇵🇹 Portugal🇵🇱 Poland
•🏠 Remote
•☁️ DevOps
•⚙️ Mid-Level
•💰 zł17k - zł26k / month
•💵 Bonus
•📈 Equity
•🕛 Full Time
Middle DevOps Engineer responsible for designing and maintaining core infrastructure using AWS, EKS, Terraform, and Kubernetes. Focuses on platform reliability, IaC coverage, GitOps evaluation, and developer enablement for a high-availability B2B document workflow product.
Site Reliability Engineer responsible for observability, alerting, incident management and reliability tooling on Kubernetes and Google Cloud Platform. You will join the Foundations team to own SLOs/SLIs, automate reliability, and lead incident response.
Software Engineer Intern building, scaling, and operating infrastructure for an AI-powered observability platform using C++ or Go, SQL, cloud, and distributed systems. You'll work on metrics processing, warehouse scheduling, and large-scale data pipelines.
