Service Reliability Engineer (K/M)

HeadHR; Wrocław; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

HeadHR in Wrocław, Poland, is seeking a Service Reliability Engineer to define SLIs/SLOs and improve reliability across Java/Spring Boot, Python and Node.js microservices. You will optimize latency and memory, perform JVM diagnostics, and implement circuit breakers and retries.

You will build Datadog observability and operate services on AWS with EKS/ECS, API Gateway, RDS and more. Strong Linux knowledge and CI/CD experience are essential.

Qualifications

• At least 3 years of experience as a Service Reliability Engineer.
• Strong hands-on experience with Java and Spring Boot.
• Good proficiency in Python or another backend programming language.
• Knowledge of AWS, including EKS, ECS, IAM, VPC, RDS, S3 and API Gateway.
• Hands-on Datadog experience with APM, Logs, dashboards, SLOs, RUM and Synthetic Monitoring.
• Docker, Kubernetes, SQL Server or another SQL dialect, and MongoDB indexes, replica sets and performance tuning.
• CI/CD with GitHub Actions, Jenkins and GitLab CI; queues and messaging with SQS, SNS or Kafka.
• Basic Linux and networking fundamentals, including HTTP, TLS, DNS and load balancing.

Responsibilities

• Define SLIs and SLOs and improve reliability across Java/Spring Boot, Python and Node.js microservices.
• Optimize latency, throughput, memory and GC; perform JVM diagnostics; implement circuit breakers, retries and graceful degradation.
• Build Datadog observability covering metrics, logs, traces, synthetics, RUM, APM and dashboards.
• Triage incidents, restore services, communicate proactively, lead post-incident reviews, perform root cause analysis and track remediation.
• Operate services on EKS and ECS and manage AWS API Gateway, Lambda, RDS, IAM, S3, VPC, CloudWatch, ALB and NLB.
• Maintain CI/CD pipelines using GitHub Actions, Jenkins and GitLab CI; build Python and shell automation.
• Troubleshoot MSSQL/SQL and MongoDB, including replica sets, indexes and PITR, and ensure reliable backup, restore, failover and performance tuning.

Skills

Java

Spring Boot

Python

Tools

Datadog

Docker

Kubernetes

GitHub Actions

Jenkins

GitLab CI

SQS

SNS

Kafka

SQL Server

MongoDB

AWS

Job description

Responsibilities:

• Define SLIs and SLOs and improve reliability across Java/Spring Boot, Python and Node.js microservices.
• Optimize latency, throughput, memory and GC, perform JVM diagnostics, and implement circuit breakers, retries and graceful degradation.
• Build Datadog observability covering metrics, logs, traces, synthetics, RUM, APM and dashboards.
• Triage incidents, restore services, communicate proactively, lead post-incident reviews, perform root cause analysis and track remediation.
• Operate services on EKS and ECS and manage AWS API Gateway, Lambda, RDS, IAM, S3, VPC, CloudWatch, ALB and NLB.
• Maintain CI/CD pipelines using GitHub Actions, Jenkins and GitLab CI; build Python and shell automation.
• Troubleshoot MSSQL/SQL and MongoDB, including replica sets, indexes and PITR, and ensure reliable backup, restore, failover and performance tuning.

Formal details:

• Employment contract; start date to be agreed.
• Position available since October 2026 in Wrocław at Silver Tower Office Centre.

Kogo poszukujemy?

Key requirements:

• At least 3 years of experience as a Service Reliability Engineer.
• Strong hands-on experience with Java and Spring Boot.
• Good proficiency in Python or another backend programming language.
• Knowledge of AWS, including EKS, ECS, IAM, VPC, RDS, S3 and API Gateway.
• Hands-on Datadog experience with APM, Logs, dashboards, SLOs, RUM and Synthetic Monitoring.
• Docker, Kubernetes, SQL Server or another SQL dialect, and MongoDB indexes, replica sets and performance tuning.
• CI/CD with GitHub Actions, Jenkins and GitLab CI; queues and messaging with SQS, SNS or Kafka.
• Basic Linux and networking fundamentals, including HTTP, TLS, DNS and load balancing.

Additional advantage:

• Previous experience in the automotive industry.

Toyota DNA:

• Courage to pursue challenging targets.
• Creativity and innovative thinking.
• Coaching through knowledge and feedback sharing.
• Curiosity and fact-based observation.
• Respectful, inclusive collaboration and customer orientation.