Staff Software Engineer

DataRobot, Inc.; Polska; Híbrido; PLN 350.000 - 600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental & Vision Insurance

Flexible Time Off Program

Paid Holidays

Paid Parental Leave

Global Employee Assistance Program (EP

and more!

Descripción de la vacante

DataRobot, Inc. seeks a senior infrastructure engineer to architect and deliver scalable Kubernetes-based infrastructure across multi-cloud and on‑prem environments. You will mentor teams, define control plane patterns, and drive modernization through GitOps, policy as code, and efficient resource usage.

You will collaborate with SRE, Platform, and App teams to ensure reliable, observable systems and a strong developer experience. Leadership and hands-on execution are expected.

Formación

• 7-10+ years of engineering experience with 5+ in infrastructure or backend systems.
• Strong programming in Python or Go.
• Production-grade, observable systems across multiple clouds and on-prem.
• Experience designing systems from scratch with pragmatic tradeoffs.

Responsabilidades

• Architect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments.
• Lead technical direction for core Fleet initiatives—control plane services, tenancy models, deployment pipelines, observability layers.
• Mentor engineers across the team, fostering ownership, curiosity, and excellence.
• Drive modernization—GitOps, Kyverno, Cilium networking, autoscaling, and resource efficiency.
• Collaborate with SRE, Platform, and Application teams to align infrastructure capabilities with product demands.
• Champion CI/CD, reliability, container lifecycle management, and developer experience.
• Partner with engineering leadership to scale Fleet's impact across the company.

Conocimientos

Python

Go

Cloud platforms (AWS/GCP/Azure)

Herramientas

Kubernetes

Helm

Terraform

Pulumi

CI/CD pipelines

Descripción del empleo

Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.

You’ll be responsible for technical leadership and vision. You’ll lead by example—rolling up your sleeves as a technical contributor to solve complex problems, shaping architecture, and mentoring engineers to do their best work and advance their careers. You’ll work across our control plane systems, influence cross-team roadmaps, and bring pragmatic engineering practices into how we build, test, and operate infrastructure software. This is not a “stay in your swim lane” role. You’ll question assumptions, challenge complexity, and help drive a high-performance culture. You’ll be trusted to bring clarity where there’s ambiguity, and momentum where there’s inertia. This role includes participation in an on-call rotation—we believe in shared ownership of our platform and aim to build systems that are resilient, observable, and require minimal intervention.

What You’ll Do

• Architect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments.
• Lead technical direction for core Fleet initiatives—control plane services, tenancy models, deployment pipelines, observability layers, and more.
• Mentor engineers across the team, fostering a strong engineering culture of ownership, curiosity, and excellence.
• Drive modernization efforts—introducing patterns like GitOps, Policy-as-Code (Kyverno), Cilium networking, autoscaling, and better resource efficiency.
• Collaborate deeply with SRE, Platform, and Application teams to align infrastructure capabilities with real-world product demands.
• Champion best practices in CI/CD, reliability, container lifecycle management, and dev experience.
• Be a thought partner to engineering leadership and help shape how Fleet scales its impact across the company.

What We’re Looking For

• 7-10+ years of engineering experience, with at least 5+ in infrastructure, platform, or backend systems roles.
• Strong proficiency in modern programming languages such as Python or Go.
• Experience building production-quality, reliable, and observable systems that are used across engineering organizations.
• Proven ability to design and build systems from scratch, making pragmatic tradeoffs along the way.
• Deep expertise in Kubernetes internals and operations, including networking, scheduling, scaling, and controller patterns.
• A growth-oriented mindset—driven to teach, learn, and improve systems as well as people.
• Experience operating across multiple cloud providers (AWS, GCP, Azure) and/or hybrid environments.
• Strong experience with Helm, container orchestration patterns, and CI/CD automation.
• Comfortable working with IaC (Terraform, Pulumi) and GitOps workflows.
• Ability to influence without authority and align diverse stakeholders around technical decisions.

Nice to Have

• Familiarity with Cilium, Kyverno, KEDA, Gateway API, OPA, or similar technologies.
• Experience building and running multi-tenant SaaS platforms.
• Exposure to on-prem delivery models or regulated environments.
• Experience with performance tuning for large-scale data or compute workloads.
• Past success driving infrastructure transformation or decomposing legacy systems.
• Experience working with GPU infrastructure for training and inference.

Benefits

• Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

Operating Principles

Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.

Equal Opportunity Statement

DataRobot is proud to be an Equal Employment Opportunity and Aff…???: we do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

Use of Artificial Intelligence in Our Hiring Process DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools