Senior Software Development Engineer in Test(Backend)

Luxoft

Polska

On-site

PLN 180,000 - 280,000

Full time

48 hours ago
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Benefits offered by this job

Private Medical Insurance
Dental care
Life Insurance
Internal Mobility program

Job summary

Luxoft is seeking a hands-on SDET to own backend test automation for an in-house trading platform covering order management, execution and data analysis. You’ll co-architect a unified testing framework with the UI SDET, spanning REST, WebSocket, Kafka, data and performance tests on Linux and AWS.

You will design and implement service, integration and contract tests, ensure end-to-end resilience, optimize test data strategies, and drive CI/CD integration for release-quality gates.

Qualifications

  • 5+ years of backend or service test automation, including framework design.
  • Strong Python (pytest, requests, asyncio, confluent-kafka or similar) for test frameworks, tooling and data validation.
  • Strong Java (JUnit 5, REST Assured, AssertJ, or similar) for testing JVM services.
  • Working TypeScript and Node.js skills: contributing to UI and cross-layer suites in the shared framework, and Node-based tooling (k6 scripts, Playwright API tests).
  • Hands-on Kafka experience: producing and consuming in tests, consumer groups, partitions and offsets, serialization and schema registry, and Kafka Streams or Connect.
  • Solid networking fundamentals: TCP/IP, HTTP/1.1 and HTTP/2, WebSockets, TLS, DNS, load balancers, latency and packet loss. Able to debug with tcpdump/Wireshark, curl and similar tools.
  • Strong SQL and database experience (PostgreSQL, SQL Server, or similar) for test data setup, verification and cleanup. Familiarity with columnar or analytical databases.
  • Hands-on performance and load testing: Tools: k6, Gatling, JMeter or Locust, including Kafka throughput benchmarking.
  • Profiling: JVM tuning and profiling (GC, JFR, async-profiler) or Python profiling.
  • Analysis: reading latency distributions and percentiles correctly, including coordinated omission.
  • API, authentication and contract testing: OAuth/JWT flows, payload and schema validation, and service virtualization (WireMock, MockServer, Hoverfly).
  • Experience building isolated test environments: Linux CLI, Docker, Docker Compose and Testcontainers; AWS (EC2, ECS/EKS, S3, IAM, VPC, MSK/RDS), and infrastructure as code (Terraform, CloudFormation or CDK).
  • CI/CD with Azure DevOps or Jenkins, and Git.
  • Strong reliability habits: isolated tests, controlled retries, failure-mode testing, and triage of flaky tests.
  • Clear communication and good documentation.

Responsibilities

  • Architect and own backend test automation: service, integration and contract tests across REST, WebSocket and Kafka.
  • Build unified testing framework co-owned with UI SDET; cover UI, API, messaging, data and performance in one place.
  • Design and run automated service, integration and contract tests for REST APIs, WebSocket services, and Kafka producers/consumers.
  • Test event-driven flows end-to-end: ordering, idempotency, at-least-once and exactly-once semantics, replays, offset handling, DLQs and schema evolution.
  • Create harnesses with test data and service virtualization so suites are repeatable.
  • Design isolated on-demand test environments on Linux and AWS per branch/run with seeded data and teardown.
  • Write data-validation tests across relational/analytical databases; cover reconciliation and aggregation correctness.
  • Cover resilience and failure modes: broker/consumer outages, network partitions, timeouts, throttling, backpressure, reconnects and auth failures.
  • Own backend performance testing: latency/throughput, baselines/SLAs, bottlenecks, and database query performance.
  • Run backend tests in CI/CD: parallel runs, scheduled regressions, environment setup/teardown, and release quality gates.
  • Make failures diagnosable via structured logs, traces (OpenTelemetry) and clear reports.
  • Collaborate with backend engineers, infra, business analysts and traders to automate critical workflows.
  • Leverage AI-assisted tools to speed up tests and failure analysis.

Skills

Python
Java
TypeScript / Node.js
Kafka
SQL
REST API
WebSocket
CI/CD
OpenTelemetry
Linux

Education

Bachelor's degree in CS or equivalent

Tools

JUnit 5
REST Assured
AssertJ
Playwright
k6
Gatling
JMeter
Locust
Testcontainers
Terraform

Job description

Private Medical & Dental care & Life Insurance covered

Internal Mobility program - possibility of rotation between projects, locations, accounts

…and more!

Project Description:

We build an in-house trading platform covering order management, execution, and data analysis. It runs on a distributed, event-driven backend.

We're hiring a hands-on SDET to own backend test automation: service, integration, contract, data, resilience and performance testing across the platform. You'll co-architect and co-own a unified testing framework with our UI SDET. It covers UI, API, messaging, data and performance tests in one place.

Responsibilities:

Co-architect and co-own, with our UI SDET, a unified testing framework that covers every area we test:

  • Shared foundations: fixtures, test data, configuration, environments and reporting are shared across REST, WebSocket, Kafka, database, performance and UI suites.
  • Cross-layer scenarios: one scenario can follow a workflow from the UI through services and events to the database.
  • One quality view: results from every suite feed a single view of release quality.
  • Design and build automated service, integration and contract tests for REST APIs, WebSocket services, and Kafka producers and consumers.
  • Test event-driven flows end to end: message ordering, idempotency, at-least-once and exactly-once semantics, replays, offset handling, dead-letter queues, and schema evolution (Avro, Protobuf, JSON Schema, Schema Registry).
  • Build harnesses with controlled test data and service virtualization so suites run consistently and can be repeated.
  • Design and build isolated, on-demand test environments on Linux and AWS:
    • Lifecycle: full service stacks (services, Kafka, databases) are created per branch or per run, start with seeded data and known state, and are torn down automatically.
    • Isolation: test runs don't interfere with each other or with shared environments.
    • Infrastructure: the environments are defined as code, with attention to cost.
  • Write data-validation tests across relational and analytical databases. Cover reconciliation and aggregation correctness.
  • Cover resilience and failure modes: broker and consumer outages, network partitions, timeouts, throttling, slow consumers and backpressure, reconnects, and authentication failures.
  • Own backend performance testing:
    • Latency and throughput: design and run load, stress, soak and spike tests on services, messaging pipelines, streaming and query APIs.
    • Baselines and regressions: set baselines and service-level targets (p50/p99 latency, throughput, consumer lag), and catch regressions in CI.
    • Bottlenecks: profile them down to the CPU, GC, query or network layer.
    • Database queries: track query performance on analytical stores. Know how query shape and data volume drive response time.
  • Own backend test execution in CI/CD: parallel runs, scheduled regressions, environment setup and teardown, and release quality gates.
  • Make failures diagnosable: structured logs, distributed traces (OpenTelemetry), correlation IDs across services, and clear reports.
  • Work with backend engineers, infrastructure, business analysts and traders to define and automate critical business workflows.
  • Use AI-assisted tools where they speed up writing tests and analysing failures.
Mandatory Skills Description:
  • 5+ years of backend or service test automation, including framework design.
  • Strong Python (pytest, requests, asyncio, confluent-kafka or similar) for test frameworks, tooling and data validation.
  • Strong Java (JUnit 5, REST Assured, AssertJ, or similar) for testing JVM services.
  • Working TypeScript and Node.js skills: contributing to UI and cross-layer suites in the shared framework, and Node-based tooling (k6 scripts, Playwright API tests).
  • Hands-on Kafka experience: producing and consuming in tests, consumer groups, partitions and offsets, serialization and schema registry, and Kafka Streams or Connect.
  • Solid networking fundamentals: TCP/IP, HTTP/1.1 and HTTP/2, WebSockets, TLS, DNS, load balancers, latency and packet loss. Able to debug with tcpdump/Wireshark, curl and similar tools.
  • Strong SQL and database experience (PostgreSQL, SQL Server, or similar) for test data setup, verification and cleanup. Familiarity with columnar or analytical databases.
  • Hands-on performance and load testing:
    • Tools: k6, Gatling, JMeter or Locust, including Kafka throughput benchmarking.
    • Profiling: JVM tuning and profiling (GC, JFR, async-profiler) or Python profiling.
    • Analysis: reading latency distributions and percentiles correctly, including coordinated omission.
  • API, authentication and contract testing: OAuth/JWT flows, payload and schema validation, and service virtualization (WireMock, MockServer, Hoverfly).
  • Experience building isolated test environments:
    • Linux: strong command-line skills, with shell scripting, systemd, processes, networking and performance troubleshooting.
    • Containers: Docker, Docker Compose and Testcontainers.
    • AWS: EC2, ECS or EKS, S3, IAM, VPC, MSK or RDS, and CloudWatch.
    • Infrastructure as code: Terraform, CloudFormation or CDK.
  • CI/CD with Azure DevOps or Jenkins, and Git.
  • Strong reliability habits: isolated tests, controlled retries, failure-mode testing, and triage of flaky tests.
  • Clear communication and good documentation.
Nice-to-Have Skills Description:
  • Trading or buy-side experience: OMS/EMS, the FIX protocol, market data, positions, allocations, or risk.
  • kdb+/q, or other time-series databases used for tick data.
  • Contract testing with Pact. Property-based testing (jqwik, Hypothesis).
  • Kubernetes and Helm.
  • Chaos and fault-injection tools (Toxiproxy, Chaos Mesh).
  • Observability tools: OpenTelemetry, Grafana, Prometheus.
  • Experience with large-scale distributed systems.
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