Site Reliability Engineer

Amelco Limited

Warszawa

On-site

PLN 176,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Competitive B2B rates

Long-term cooperation

International project exposure

Knowledge sharing

Flat organisational structure

Job summary

Amelco UK Ltd is seeking a hands-on Site Reliability Engineer to own reliability, observability, and cost efficiency of our high-throughput betting platform. You’ll work in production, partnering with developers to build resilient systems and drive incident response.

The role is split 60% infrastructure automation and 40% application reliability, requiring deep Java Spring Boot and Kubernetes exposure to implement lasting improvements.

Qualifications

3+ years in SRE, Platform Engineering, or DevOps with hands-on production experience.
Strong Kubernetes operational expertise (AWS EKS, Flux, Helm).
Proven track record building observability for Java Spring Boot apps using Prometheus, Grafana, Loki.
IaC with Terraform and GitOps workflows; Python and Bash for automation.
Experience with high-throughput event processing and monitoring systems.
Balancing cost efficiency with platform reliability; strong cross-team communication.

Responsibilities

Reliability Engineering (40%): define and manage SLOs/SLIs; enhance observability; design chaos experiments.
Infrastructure & Platform (40%): own Kubernetes reliability; automate with Python/Bash in GitHub Actions; optimize costs.
Incident & Operations (20%): participate in major incidents; develop automated remediation and runbooks; build observability rules.

Skills

SRE

Platform Eng

Kubernetes

Observability

Terraform

GitOps

Python

Bash

Java Spring Boot

Monitoring

Tools

FluxCD

Prometheus

Grafana

Loki

Tempo

Kafka

AWS

Job description

B2B rate: starting from 1100 PLN net per day, depending on experience and skills

About Amelco UK Ltd

We are a leading gaming and gambling solution software provider with a strong presence in the USA, UK, and Europe.

Through partnerships with global gaming companies, we build cutting-edge technical platforms across sportsbooks, lottery, casino, virtual gaming, and financial trading.

Our vision is to shape the future of gaming by transforming operations into intelligent, data-driven solutions that deliver exceptional customer experiences and create sustainable value for all stakeholders.

We believe in teamwork, knowledge sharing, and transparency with accountability.

Role Purpose

We’re looking for a hands‑on Site Reliability Engineer (SRE) to own the reliability, observability, and cost efficiency of our high-throughput betting platform. You’ll be embedded in our production operations, working directly with development teams to build resilient systems, implement actionable observability, and drive incident response from detection to remediation.

This role is 60% infrastructure automation and 40% application-focused reliability work — you’ll need to dive deep into both our Java Spring Boot services and Kubernetes deployment patterns to build lasting improvements.

What You’ll Work With

Infrastructure & Platform:

Kubernetes: AWS EKS clusters and on-prem deployments GitOps: FluxCD for declarative Kubernetes management across 20+ environments Infrastructure as Code: Terraform for AWS resources and Kubernetes configurations CI/CD: GitHub Actions pipelines with automated AI code review workflows.

Observability Stack:

Monitoring: Prometheus metrics with custom Java Micrometer instrumentation Logging: Loki for distributed log aggregation Tracing: Tempo for distributed tracing AWS: Cloudwatch.

Application Environment:

Core Platform: Java Spring Boot microservices for betting, trading, and customer management Event Processing: High-throughput event queues with latency monitoring (Kakfa, JMS) Data Pipeline: Avro-based S3 buffer systems with fault‑tolerant write‑ahead logs (StatefulS3Buffer)) DB: Postgres DB on RDS/Aurora.

Key Responsibilities:

Reliability Engineering (40%):

Partner with development teams to define and manage SLOs/SLIs specific to betting platform services (latency, queue depth, bet processing success rates).
Enhance observability of our Java Spring Boot services — ensure metrics, logs, and tracing are actionable for detecting and fixing production issues Implement chaos engineering experiments targeting our event queue systems and high‑availability betting services.
Design and execute pre‑deployment readiness checks and post‑release validation for risk‑critical services.

Infrastructure & Platform (40%):

Own Kubernetes cluster reliability across development, QA, and production environments Automate operational processes using Python and Bash scripting within our GitHub Actions ecosystem.
Optimize infrastructure costs through rightsizing EKS workloads, tuning autoscaling policies, and implementing efficient resource utilization patterns.
Strengthen platform guardrails through Flux GitOps policies and Terraform module validation.

Incident & Operations (20%):

Contribute to major incident response for betting platform outages, providing engineering expertise on Java service behavior and infrastructure dependencies.
Design and implement automated remediation patterns for common failure modes (event queue backpressure, connection pool exhaustion, database connectivity).
Build hourly observability agent rules and thresholds for early‑warning detection of production anomalies.
Develop runbooks and automation for common operational tasks across our multi‑environment platform.

Required Skills & Experience

3+ years in SRE, Platform Engineering, or DevOps roles with hands‑on production experience Strong Kubernetes operational expertise (AWS EKS, GitOps with Flux, Helm packaging).
Proven track record building observability for Java Spring Boot applications using Prometheus, Grafana, and Loki.
Infrastructure as Code proficiency with Terraform and GitOps workflows Python and Bash scripting skills for automation and tooling development.
Experience in designing and operating monitoring for high‑throughput event processing systems.
Demonstrated ability to balance infrastructure cost efficiency with betting platform reliability requirements.
Excellent communication skills and ability to work across development, platform, and incident management teams.

Nice-to-Have Skills

Experience with betting/gaming platform architecture and reliability patterns.
Familiarity with Avro-based data pipelines and S3 storage optimization.
AWS Certifications (Solutions Architect, DevOps Engineer, or AWS Certified Kubernetes Administrator).
Background in chaos engineering for stateful event processing systems.
Knowledge of payment processing and risk calculation system reliability patterns.
Experience with automated incident detection and response workflows.

What you can expect from the cooperation: