• Design, implement, and maintain cloud infrastructure on Azure • Develop Python scripts and automation tools to streamline infrastructure management, deployments, and operational workflows • Build, maintain, and improve CI/CD pipelines to support fast and reliable software delivery • Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform, Pulumi, or equivalent) • Monitor infrastructure performance, troubleshoot production issues, and ensure system reliability and uptime • Optimize cloud environments for scalability, cost efficiency, and security • Implement and enforce cloud security best practices across all environments • Collaborate closely with software engineers and architects on cloud-native architecture decisions

Your role at Dynatrace Are you a passionate Senior Software Engineer with SRE background ready to shape the future of product development? Do you thrive in a collaborative, international environment and want to make a real impact on our customers? If you're excited about observability platforms and want to contribute to a globally leading product, this is your opportunity. This role is designed for a Senior Software Engineer from an SRE background, experienced in Cloud monitoring who wants to move from operating to building—come and help us advance our Observability Solution. Our engineering culture is built on technical excellence, ownership, and continuous feedback. We live by the principle of "You build it, you run it", and work in agile iterations to deliver high-quality customer value. As Senior Software Engineer with SRE background you will: - Leverage your SRE experience to enhance our cloud observability product and create tailored solutions that empower our users like other SREs to monitor, diagnose, and maintain systems with greater experience. - Ensure best practices across AWS, Azure, and GCP integrations that efficiently ingest cloud telemetry data, ensuring customers receive the highest quality and most relevant datasets - Utilize AI capabilities for elevating features like anomaly detection and correlate multidirectional signals for faster root cause analysis - Work with cloud technologies (AWS, Azure, GCP), researching and building knowledge around modern cloud architectures. You will build visualizations that help our users understand the complexity of cloud observability data. - Drive architectural decisions and contribute to the evolution of our platform. - Collaborate with stakeholders and drive decisions aligned with the product strategy. - Foster high-quality software engineering practices, automation and optimization of tooling and processes (CI/CD integrations). What will help you succeed - 5 + years of hands-on experience in Site Reliability Engineering, working with Cloud Infrastructure on AWS, Azure or GCP - Experience in software engineering, developing with JavaScript/TypeScript and/or working with backend languages such as Python and Java - Technical studies related to Software Engineering or equivalent experience - Hands-on experience with monitoring, logging, and observability tools like Dynatrace, Datadog, Splunk, Grafana or CloudWatch, Azure Monitor - Experience working closely with development teams to improve application delivery and build efficient, automated pipelines - Excellent verbal and written communication skills, with the ability to convey complex technical concepts clearly. - Strong analytical skills with the ability to understand end-to-end use cases, map system flows. - Good English communication Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically - Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and Rewards - We offer only employment contracts and a remote working setup. This is a permanent role and not a B2B contract. - We offer attractive compensation packages and stock purchase options with numerous benefits and advantages. - Base salary range — 21.300 - 26.700 PLN gross per month with higher pay based on experience and qualifications. Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.

• Design, build, and operate the shared platform foundations engineers ship on every day: GCP infrastructure, Kubernetes, networking, routing, CI/CD, and observability. • Diagnose and troubleshoot complex distributed systems running at high request volume. • Ensure observability and analyze the behavior of our stack. • Contribute to in-flight work like modernizing our edge, caching, and gateway layers onto Fastly and tightening observability across the platform. • Raise the reliability bar through better dashboards, alert severity, paging standards, on-call readiness, and incident response. • Make deployment boring in the best way: build golden paths, production readiness checks, safe rollouts, and useful automation so engineers have fewer places to look before they ship. • Mentor engineers and raise the technical bar through code review, design review, and pairing. • Participate in our on-call rotation and help our developer on-call rollout land well.

• Partner closely with product engineering squads • Own production reliability for high-SLA and complex customer environments • Design and implement automation to scale reliability practices • Ensure customers meet SLO targets • Define and evolve per-tenant SLOs and reliability models • Proactively reduce SLO burn to prevent repeat incidents • Serve as a primary escalation point and on-call for relevant incidents • Lead customer-impacting incident response and post-incident reviews • Contribute to design docs and code reviews • Influence feature design for production scalability and operability • Build automation to eliminate toil where needed • Improve alert quality and reduce noisy escalations