SECTION I · THE BRIEF

Brief #21117Updated 19 JUN 2026WARSAW, MAZOWIECKIE, POLANDLeverFINANCIAL SERVICES COMPANIES

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Senior SRE Engineer (Observability Focus)

Capital is a modern alternative to equity financing built to put power back into the hands of the entrepreneur. Founded in 2019, Capital helps company owners understand their cost of capital and secure financing offers…

Location: Warsaw, Mazowieckie, Poland
Company size: 20–100
Posted: 1w ago
Via: Lever

Section II — RestrictedMembers only

Comp band & equity package
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Interview process & rubric
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Senior SRE Engineer (Observability Focus) - Capital

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Job Title: Senior SRE Engineer (Observability Focus)
Job Location: Warsaw, Mazowieckie, Poland
Job Listing URL: https://jobs.lever.co/capital/680d37a8-f2f9-47ff-9efe-6c7777059f91
Job Description: We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.

We're building out our observability practice and need a senior engineer who can own it end to end. This is a hands-on role. You'll design and operate the telemetry stack that gives our engineering teams real visibility into production — across a hybrid AWS and on-premise environment, at scale.

Responsibilities:
Own the full observability stack: metrics (VictoriaMetrics), logs (OpenSearch), and traces (OpenTelemetry) — from pipeline design to day-2 operations.

Architect and run VictoriaMetrics cluster topology (vmstorage/vminsert/vmselect), including vmagent scraping, remote write configuration, vmalert rules, and cardinality control.

Operate OpenSearch clusters: index lifecycle management (ISM), hot-warm-cold architecture, shard tuning, and ingest pipelines via Data Prepper.

Build and maintain OTEL Collector pipelines — receivers, processors, exporters — and instrument services across Java, Python, and JS/TS stacks (auto and manual).

Run Kafka as the telemetry transport layer (OTEL Collector → Kafka → backends), including topic design, partition strategy, consumer group lag monitoring, and throughput tuning for high-volume telemetry.

Manage log shipping infrastructure using Fluent Bit, Vector, or Fluentd; define structured logging standards and field normalization across services.

Build Grafana dashboards and alerting that engineers actually use — clear, actionable, with well-structured variables and thresholds.

Work with platform and application teams to improve sampling strategies (head/tail), batching, and context propagation across distributed services.

Contribute to incident response, post-mortems, and reliability improvements driven by observability signals.

Mentor engineers on observability practices, tooling, and structured logging standards.
Requirements:
6+ years in a DevOps, SRE, or platform engineering role, with at least 2 years focused on observability tooling at production scale.

Deep hands-on experience with VictoriaMetrics (or Prometheus) — MetricsQL/PromQL, exporters, service discovery, remote write, downsampling, and retention management.

Solid OpenSearch or Elasticsearch skills: cluster operations, Query DSL, ISM policies, and ingest pipeline design.

Production experience with OpenTelemetry: Collector configuration, OTLP, context propagation, and instrumentation across multiple languages.

Strong Kafka skills — producer/consumer patterns, consumer group management, Kafka Connect, Schema Registry, and JMX-based monitoring. Strimzi experience a plus if you've run Kafka on Kubernetes.

Proficiency with log shippers (Fluent Bit, Vector, Fluentd) and structured log parsing/normalization.

Working knowledge of Kubernetes (operators, Helm), Argo CD/GitOps, and Terraform/Ansible.

Comfortable in a hybrid AWS + on-prem environment; solid understanding of networking as it applies to scraping and shipping pipelines.

Scripting ability in Bash or Python for automation and tooling.

Strong communication skills — you can explain observability tradeoffs clearly to engineers and non-engineers alike.

English proficiency.