Platform Engineer
AVENGA (Agencja Pracy, nr KRAZ: 8448)
⚲ Warszawa
30 240 - 33 600 PLN (B2B)
Wymagania
- Cloud platform
- Kubernetes
- Kafka
- PostgreSQL
- AWS (nice to have)
- Amazon RDS (nice to have)
- Apache Aurora (nice to have)
Opis stanowiska
Wymagania:
What makes you a great fit
- Hands-on experience with Kubernetes and
cloud-native platform engineering concepts- Practical experience operating or
developing for Kafka, PostgreSQL,
YugaByteDB, or other stateful distributed
systems- A solid understanding of reliability
engineering, observability, incident
response, and safe production change- Experience building automation or selfservice tooling that improves developer
experience and reduces operational toil- Good judgement, strong collaboration skills,
a track record of engaging positively with
users of an internal platform, and the ability
to balance technical depth with pragmatic
delivery- Strong software engineering skills, with
experience writing clean, maintainable, and
well-tested code
It would be great if you also had
- Experience building Kubernetes operators or
controllers, ideally in Go- Familiarity with AWS managed data services
such as RDS, Aurora, or related database
tooling- Exposure to multi-region architecture,
disaster recovery, or distributed database
patterns
Codzienne zadania:
- As a Stateful Platform Engineer, you will build and operate the shared Kafka and database platform capabilities that help engineers deliver safely, reliably, and with less manual toil.
- Deliver changes to Kafka, PostgreSQL, YugaByteDB, and other stateful platform components in a controlled, well-tested manner
- Build self-service platform capabilities through Kubernetes-native interfaces, automation, and reusable tooling
- Improve the developer experience by simplifying provisioning, reducing ticketdriven workflows, and creating clearerplatform golden paths
- Design and implement solutions that improve resilience, security, scalability, and operational safety for stateful workloads
- Investigate incidents, performance issues, and capacity risks, then turn findings into durable platform improvements
- Define and improve observability, alerting, SLOs, dashboards, and runbooks for critical stateful services
- Work on platform software such as operators, controllers, and supporting services that manage shared infrastructure at scale
- Collaborate with product and engineering teams on platform adoption, technical design, and the safe use of shared data and messaging systems
What makes you a great fit
- Hands-on experience with Kubernetes and
cloud-native platform engineering concepts- Practical experience operating or
developing for Kafka, PostgreSQL,
YugaByteDB, or other stateful distributed
systems- A solid understanding of reliability
engineering, observability, incident
response, and safe production change- Experience building automation or selfservice tooling that improves developer
experience and reduces operational toil- Good judgement, strong collaboration skills,
a track record of engaging positively with
users of an internal platform, and the ability
to balance technical depth with pragmatic
delivery- Strong software engineering skills, with
experience writing clean, maintainable, and
well-tested code
It would be great if you also had
- Experience building Kubernetes operators or
controllers, ideally in Go- Familiarity with AWS managed data services
such as RDS, Aurora, or related database
tooling- Exposure to multi-region architecture,
disaster recovery, or distributed database
patterns
Codzienne zadania:
- As a Stateful Platform Engineer, you will build and operate the shared Kafka and database platform capabilities that help engineers deliver safely, reliably, and with less manual toil.
- Deliver changes to Kafka, PostgreSQL, YugaByteDB, and other stateful platform components in a controlled, well-tested manner
- Build self-service platform capabilities through Kubernetes-native interfaces, automation, and reusable tooling
- Improve the developer experience by simplifying provisioning, reducing ticketdriven workflows, and creating clearerplatform golden paths
- Design and implement solutions that improve resilience, security, scalability, and operational safety for stateful workloads
- Investigate incidents, performance issues, and capacity risks, then turn findings into durable platform improvements
- Define and improve observability, alerting, SLOs, dashboards, and runbooks for critical stateful services
- Work on platform software such as operators, controllers, and supporting services that manage shared infrastructure at scale
- Collaborate with product and engineering teams on platform adoption, technical design, and the safe use of shared data and messaging systems
🔍 Dekoder Ogłoszenia
🔴
Good judgement, strong collaboration skills, a track record of engaging positively with users of an internal platform, and the ability to balance technical depth with pragmatic delivery
Oczekuje się, że będziesz nie tylko technicznie kompetentny, ale także potrafił skutecznie komunikować się z innymi i podejmować praktyczne decyzje, nawet jeśli nie są one idealne technicznie.
🔴
Experience building automation or self-service tooling that improves developer experience and reduces operational toil
Może oznaczać, że będziesz musiał tworzyć narzędzia, które zautomatyzują powtarzalne zadania, co może być czasochłonne i wymagać ciągłego rozwoju.
🟡
Deliver changes to Kafka, PostgreSQL, YugaByteDB, and other stateful platform components in a controlled, well-tested manner
Wymaga to dużej ostrożności i dokładności przy wprowadzaniu zmian, co może spowalniać proces wdrażania.
🟡
Build self-service platform capabilities through Kubernetes-native interfaces, automation, and reusable tooling
Oznacza tworzenie narzędzi i interfejsów, które pozwolą innym zespołom samodzielnie korzystać z platformy, co wymaga dobrego zrozumienia potrzeb użytkowników.
🟢
Strong software engineering skills, with experience writing clean, maintainable, and well-tested code
Oczekiwane są wysokie standardy jakości kodu, co może oznaczać potrzebę poświęcenia większej ilości czasu na refaktoryzację i testowanie.