Performance & Reliability Engineer

Performance & Reliability Engineer

📍 Hybrid – Gdańsk (2 days office / 3 days remote)

About Consid

Consid is an award-winning IT and consulting company founded in Sweden, with a strong presence across Scandinavia and Europe, including Poland. We partner with leading enterprises to build modern, scalable digital solutions, combining strong engineering culture with long-term, trust-based collaboration. At Consid, we value ownership, quality, and continuous development.

About the Role

You will own performance across our entire cloud-native platform, from defining baselines and SLOs to running load tests, building observability dashboards, and driving capacity planning. This is not a support role. You will shape the testing strategy from the ground up.

Responsibilities

– Design and execute performance, load, stress, and scalability tests across APIs, end-to-end flows, and infrastructure

– Define performance baselines, SLAs, and SLOs and own the process of maintaining them over time

– Integrate non-functional tests (performance, accessibility, visual regression, DAST) into CI/CD pipelines

– Analyse system behaviour under real and synthetic load: latency, throughput, error rates, resource saturation

– Identify and document bottlenecks; collaborate directly with backend engineers on resolution

– Build dashboards to track performance trends, capacity headroom, and SLO compliance

– Conduct capacity planning and scalability analysis ahead of growth milestones

– Deliver clear post-mortems, performance reports, and actionable briefs for engineering and product leadership

Requirements

– Several years (6+) of hands-on performance and non-functional testing experience in cloud-native environments

– Strong practical AWS experience, EKS, ECS, EC2, S3, CloudWatch, and related tooling

– Proven use of performance tools: k6, JMeter, Taurus, Gatling, or equivalent

– Ability to automate non-functional checks and integrate them into CI/CD (GitHub Actions, Jenkins, or similar)

– Comfortable reading and writing code in Java, Python, or JavaScript, enough to build test frameworks and scripts

– Solid understanding of distributed systems, microservices, REST APIs, and async messaging patterns

– Experience with observability tooling: Kibana, CloudWatch, Grafana, or similar

– Strong documentation instincts, post-mortems, and performance briefs that teams can act on

– Experience working in distributed, international teams and fluent English

Nice to Have

– Real User Monitoring (RUM) and synthetic testing experience

– Kubernetes (EKS) autoscaling validation

– Security considerations in performance testing contexts

– Terraform for infrastructure-as-code

Tech Stack

• Backend: Java (Spring Boot)
• Frontend: Vue 3
• Databases: PostgreSQL (Amazon Aurora), Redis
• Cloud: AWS (EKS, ECS, EC2, S3)
• Infrastructure: Kubernetes, Terraform
• CI/CD: Jenkins, GitHub Actions

Recruitment Process

1. Screening interview

2. Client Interview (Cultural & Behavioral)

3. Technical Interview with the team