Senior Platform Engineer

Flightradar24

Stockholms kommun

On-site

SEK 764,442 - 982,854

Full time

14 days+
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Benefits offered by this job

Free beverages, fruit, and snacks
Flexible work environment
Modern office in downtown Stockholm

Job summary

Flightradar24 is seeking a Senior Platform Engineer to enhance our data platform, focusing on backend services for high-volume processing and APIs. The ideal candidate will have extensive experience with C++, Python, and AWS, and be familiar with data engineering architectures. This role offers the chance to impact services used by millions globally, alongside a dynamic team in Stockholm. The position includes flexible working conditions and a vibrant office environment.

Qualifications

  • Several years of hands-on experience in building and operating production systems.
  • Strong experience with software development in C++, Python, or similar.
  • Experience with data engineering architectures for ingestion and transformation.

Responsibilities

  • Build and maintain backend services for high-volume data processing and APIs.
  • Design and improve data ingestion, streaming, and event processing.
  • Collaborate with engineers to deliver reliable data products.

Skills

C++
Python
Data Engineering
AWS
Kafka
Docker
Kubernetes

Tools

Terraform
Airflow
SQL/NoSQL

Job description

We are looking for a Senior Platform Engineer with Data Engineering skills, who can quickly understand existing systems, work independently, and deliver value from day one. You will play a key role in evolving and improving our data platform, working closely with other engineers and stakeholders. You will be part of a data engineering team responsible for designing, building, and operating scalable data solutions in AWS. The work includes both hands‑on development and architectural decision‑making.

What you’ll do
  • Building and maintaining backend services for high-volume data processing and APIs
  • Designing and improving data ingestion, streaming, and event processing (batch and real‑time)
  • Refactoring and enhancing existing services, pipelines, and infrastructure
  • Implementing robust data collection, transformation, and storage solutions
  • Operating and improving cloud-based platforms (primarily AWS)
  • Improving observability, reliability, and operational tooling for production systems
  • Contributing to best practices around CI/CD, testing, code quality, and documentation
  • Collaborating with software engineers, data engineers, and analysts to deliver reliable data products
Current tech stack
  • Backend services: C++ and Python
  • Cloud & Data Platform: AWS (S3, Glue/Spark, Airflow/MWAA, Athena, MSK/Kafka, Lambda)
  • Streaming & Messaging: Kafka (or similar), RabbitMQ
  • Databases & Storage: SQL/NoSQL systems (MySQL/MariaDB/Postgres, Redis, DynamoDB, data lake/warehouse patterns)
  • DevOps & Platform: Docker, Kubernetes/EKS, Terraform
  • Engineering practices: Infrastructure as Code, CI/CD, linting, unit tests, integration tests
About you
  • Has several years of hands‑on experience building and operating production systems
  • Strong experience with software development in C++, Python, Go, Rust, or similar
  • Strong experience designing and operating production backend systems
  • Experience with data engineering architectures for ingestion and transformation
  • Experience working with cloud‑based platforms, preferably AWS
  • Solid understanding of databases (warehouses, OLTP/OLAP concepts, query performance)
  • Experience with event‑driven or streaming architectures (Kafka or similar)
  • Strong understanding of reliability, observability, and production operations

We also see that you…

  • Are self‑driven and comfortable making technical decisions independently
  • Can quickly understand and work within an existing codebase and architecture
  • Value clean code, testing, automation, and pragmatic engineering practices
  • Communicate clearly and professionally in English

Bonus points

  • Experience with Machine Learning concepts and data platforms supporting ML workloads
  • Experience working with high‑volume real‑time telemetry or tracking data
  • Domain knowledge in aviation data standards (e.g., ADS‑B) or similar
Benefits
  • Opportunity to impact a service with millions of end users from all around the world
  • Flexible and social work environment with free beverages, fruit, and snacks
  • Modern office in the heart of beautiful downtown Stockholm, Sweden
  • Being part of a diverse team with more than 30 nationalities and 6 continents represented, with English being the main language
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