At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we help investment banks and asset managers have better, more efficient conversations.

Through our partnerships with global banks, we have access to datasets that have not been made available in the past. This allows us to create language models uniquely suited to capital markets while advancing the state-of-the-art. We are a venture-backed company founded by professionals with experience spanning machine learning, trading, and quantitative research.

The Role

We’re looking for a seasoned Platform/Site Reliability Engineer to help us scale our platform and ensure our systems are resilient, observable, and continuously improving. You’ll work closely with our software engineers and data scientists to design, automate, and operate the infrastructure that underpins our AI systems and real-time services.

This role blends hands-on systems engineering with strategic thinking: from refining our incident response processes, to implementing monitoring that gives us confidence in production, to guiding our infrastructure as we scale.

You’ll thrive here if you’re pragmatic, delivery-oriented, and enjoy being the glue between infrastructure and product delivery teams.

Requirements

Proven experience operating and scaling production systems in cloud-native environments (AWS and/or GCP)
Deep knowledge of Kubernetes, Terraform, Docker, Ansible, and infrastructure-as-code practices
Experience with observability tooling (e.g. Prometheus, Grafana, Loki, ELK, ArgoCD, etc.)
Familiarity with CI/CD tooling and deployment pipelines (e.g. Gitlab, Jenkins, GitHub Actions, Argo)
Proficient in Python and Bash for scripting, automation, and debugging
Solid understanding of Linux systems internals, networking, and distributed systems fundamentals
OnPrem/Datacentre experience including networking infrastructure, switching, IPMI
Strong communication skills — you’re comfortable collaborating across product, engineering, and data science teams

Nice to Have

Comfortable managing incident response, SLAs/SLOs, and post-incident reviews in high-availability systems
Able to drive reliability engineering practices like chaos testing, capacity planning, and alert tuning
Previous experience supporting real-time APIs or AI/ML model infrastructure in production
Exposure to financial systems, data pipelines, or regulated environments
Experience mentoring or guiding junior engineers on reliability and operations topics

The Work Environment

Flexible working, central Krakow location
Highly skilled team, flat hierarchy, and opportunities for mentorship
Ability to heavily influence platform and culture in a scaling company
Budget/time for books, training and attending conferences/hackathons
Opportunity to work with cutting-edge AI technologies and unique datasets
Regular knowledge sharing sessions and internal tech talks

Company Benefits (pending probationary period)

Flexi Working
Pension
Hybrid working – home/office
Share Options Scheme
Private Healthcare
Benefits system (gym etc)

Sense Street jobs

Platform Engineer