June 9, 2026

Senior Observability Engineer

Senior • Hybrid

Warsaw, Poland

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role…

The Senior Observability Engineer designs, builds, and maintains systems to provide deep insights into complex infrastructure and applications, ensuring performance, reliability, and fast troubleshooting by working cross-functionally teams, setting up alerts, creating dashboards, and improving data collection/analysis for modern distributed systems.

What's in in for you...

  • Contract of employment

  • Benefits package: private medical care, life and accident insurance, MyBenefit cafeteria platform, sports card, social fund, retirement pension plan, Employee Referral Program

  • Free access to the HBO Max platform

  • Work-life balance initiatives: well-being platform, yoga, massages, educational webinars, Employee Support Program, film screenings organized by employees in the office cinema

  • Training and development: training platform, co-financing of English lessons, Employee Resource Groups, Engagement Club - the opportunity to develop your interests in thematic employee groups, online meetings with experts

  • CSR activities: volunteering, ecological and social initiatives

  • Access to parking spaces

Your Role Accountabilities…

  • Design & Implement: Build and manage scalable observability platforms for metrics, logs, and traces - time spent on the daily 5%

  • Data Collection: Standardize and automate data ingestion from various sources, using agents and pipelines - time spent on the daily 5%

  • Monitoring & Alerting: Configure intelligent alerts (reducing fatigue) and build effective dashboards to visualize system health - time spent on the daily 15%

  • Troubleshooting: Analyze complex data to diagnose issues, find root causes, and prevent future incidents in distributed systems - time spent on the daily 20%

  • Collaboration: Work with application support, operations, and developers to embed observability into the software development lifecycle - time spent on the daily 15%

  • Tool Management: Daily use and administration of tools like Prometheus, Grafana, SolarWinds, Datadog and other leadings tools in this space - time spent on the daily 25%

  • Improvement: Drive adoption of observability best practices, document use cases and enhance data fidelity - time spent on the daily 15%

Qualifications & Experience…

  • 5+ years in an observability engineering

  • Strong understanding of on-premises and cloud infrastructure.

  • Proficiency with programming/scripting languages (e.g., Python, Go, Bash, PowerShell, etc.).

  • Experience with Linux and Windows operating systems.

  • Experience with container-based platforms (e.g., Docker, Kubernetes, etc.)

  • Familiarity with Infrastructure as Code (IaC) such as Terraform, Ansible, etc.

  • Excellent communication, problem-solving skills, and critical thinking.

#Tech 

Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you.

How We Get Things Done… 

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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Warsaw, Poland

130 - 145 PLN

🏢 Summary: Design and scale next-generation observability and logging solutions within an international DevOps team, focusing on building high-scale monitoring platforms and cloud-native infrastructure from the ground up. The role combines architecture, infrastructure as code, and reliability engineering for distributed systems. You will drive metrics, logging, tracing, and alerting solutions in a collaborative environment. 🗂️ Requirements: Hands-on experience with Prometheus and Grafana, Experience scaling observability tools such as Thanos or Mimir, Experience managing ELK stack or Loki logging platforms, Strong proficiency in Terraform and Terragrunt, Deep understanding of Kubernetes, Experience with distributed systems observability (metrics, logs, traces), Full professional proficiency in English 📃 Skills: Prometheus, Grafana, Thanos, Mimir, ELK, Loki, Terraform, Terragrunt, Kubernetes, Python, Go, GitHubActions, Puppet 🏢 Description: The Opportunity Join a high-performing, international team of six DevOps experts. This is not a "maintenance-only" role. You will have a seat at the table in designing, building, and scaling our next-generation observability and logging solutions from the ground up. We believe in "Attitude First." If you are an ambitious engineer who thrives on collaboration, knowledge sharing, and solving complex distributed systems challenges, we want to grow with you. Key Responsibilities Architect & Build: Design and implement end-to-end observability solutions, including metrics, logging, tracing, and advanced alerting. Platform Excellence: Operate and optimize high-scale monitoring platforms (Prometheus, Mimir, Grafana) and ELK stack logging infrastructure. Infrastructure as Code: Define and maintain all observability systems using Terraform and Terragrunt . Reliability Engineering: Ensure the scalability and performance of our systems while supporting incident detection and root cause analysis (RCA). Collaborate: Work across domains with a team that values mentoring, transparency, and collective problem-solving. Your Technical Core Observability Expert: Solid hands-on experience with Prometheus, Grafana, and scaling tools like Thanos or Mimir . Logging Architect: Proven experience managing enterprise-grade logging platforms (ELK stack or Loki). IaC Ninja: Strong proficiency in Terraform/Terragrunt to manage infrastructure. Cloud Native: Deep understanding of Kubernetes and the complexities of metrics/logs/traces in distributed systems. Language: Full proficiency in English for seamless global collaboration. Stand Out From The Crowd (Nice to Have) Coding: Ability to automate and integrate using Python or Go . CI/CD: Exposure to GitHub Actions and automated workflows. Configuration Management: Experience with Puppet. SRE Mindset: Understanding of Service Level Indicators (SLIs), Objectives (SLOs), and Error Budgets.

Technology

Datadog

Senior Staff Software Engineer

Senior

On-site

New York, NY

272,000 - 340,000 USD/yr

🏢 Summary: Senior Staff Engineer role focused on leading the design and evolution of large-scale distributed systems and data infrastructure supporting high-growth, high-throughput observability platforms. The position combines deep hands-on technical contribution with cross-team architectural leadership and long-term technical strategy ownership. You will drive high-impact initiatives such as distributed storage engines, real-time streaming infrastructure, and large-scale system re-architecture. 🗂️ Requirements: BS/MS/PhD in scientific field or equivalent experience, 10+ years backend, infrastructure, or distributed systems engineering experience, 4+ years leading complex cross-team technical initiatives, Proven design and delivery of large-scale distributed systems, Expertise in distributed storage, event streaming, networking, data infrastructure, or observability, Experience optimizing performance and reliability in high-scale systems, Ability to define architecture across multiple teams, Experience with AI coding tools and validation of AI-generated code 📃 Skills: DistributedSystems, Backend, Infrastructure, DistributedStorage, EventStreaming, Networking, DataInfrastructure, Observability, SystemDesign, Architecture, PerformanceOptimization, Reliability, Scalability, AI 🏢 Description: About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several teams or product lines. Drive the design and delivery of high-scale, high-impact projects, from vision to execution in production. Build consensus and alignment across stakeholders on key architectural decisions and long-term strategy. Deeply investigate and optimize performance, reliability, and efficiency in large-scale distributed systems. Collaborate with Staff Engineers, Directors, and VPs across the company to shape Datadog’s technical roadmap. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent practical experience. You have 10+ years of backend, infrastructure, or distributed systems engineering experience. You have 4+ years of experience leading complex technical initiatives and cross-team projects.You have designed and delivered systems that are deeply technical, highly reliable, and serve critical business needs. You can navigate and make progress in ambiguous problem spaces, identifying the right problems to solve. You have exceptional communication skills, with the ability to align diverse stakeholders around a shared technical vision. You have deep expertise in one or more core systems domains—such as distributed storage, event streaming, networking, data infrastructure, or large-scale observability—and broad awareness of adjacent areas. You care about getting things right, not just getting them done, and you raise the bar for engineering quality around you. You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$272,000—$340,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Technology

Duco Technology Poland Sp. z o.o.

DevOps Engineer

Senior

Hybrid

Wroclaw, DS, Poland

20,000 - 25,000 PLN

🏢 Summary: Hands-on DevOps Engineer role focused on designing and leading observability architecture and improving CI/CD and delivery practices. The position centers on building unified logging, metrics, tracing, and alerting systems while enhancing automation, resilience, and developer productivity. You will own mission-critical monitoring and delivery tooling in a cloud-native, Kubernetes-based environment. 🗂️ Requirements: 5+ years in DevOps/Platform/Build Engineering, Proven experience designing observability systems, Experience with production CI/CD pipelines, Strong scripting skills for automation, Experience with Kubernetes and cloud platforms, Knowledge of containerization and build systems, Ability to troubleshoot production issues and perform root cause analysis, Experience standardizing engineering practices and shared tooling 📃 Skills: Prometheus, Grafana, Loki, Jaeger, Tempo, OpenTelemetry, Honeycomb, Bash, Python, Golang, GitLabCI, GitHubActions, Jenkins, Docker, Kubernetes, Flux, Helm, AWS 🏢 Description: About Us Duco is on a mission to reduce the time spent on data-related work by 90%. Our enterprise data automation platform empowers teams to work more efficiently and meaningfully by giving them the ability to automate data controls with the latest technology, such as no-code, the cloud, and AI. We help firms to start trusting their data, by giving them one intuitive platform to automate the front-to-back processing of all kinds of data (from structured Excels and RTFs to unstructured PDFs and emails). This eliminates the boring manual work across the data lifecycle and enables firms to act faster, work smarter, save money, reduce risk and comply with regulatory requirements. We’re headquartered in London and have offices in New York, Wroclaw, Singapore, and Antwerp. We’re proud to call some of the largest global financial institutions our clients, including over 15 of the world’s largest international banks, as well as brokers, exchanges, asset managers, hedge funds, administrators, service providers and corporates. About the role We are looking for an experienced DevOps Engineer to lead the evolution of our observability capabilities. In this role, you’ll focus on designing and driving our observability systems, shaping dashboards and developing tooling that accelerates developer productivity. You will be a key contributor to standardising delivery practices, improving automation across the SDLC, and ensuring our systems are monitored, observable, and resilient. This is a hands-on technical role where you’ll collaborate closely with engineering teams, guide best practices, and take ownership of mission-critical delivery and observability systems that support our growing customer base. What you will be working on: Own observability architecture: Design and implement unified logging, metrics, tracing, and alerting using tools like Prometheus, Grafana, Loki, and OpenTelemetry. Drive SLO-based operations: Establish service level objectives, dashboards, and alerting frameworks that enable proactive incident response. Build observability tooling: Create internal tools that help engineering teams instrument services, diagnose issues, and self-serve their monitoring needs. Lead incident response: Troubleshoot production issues hands-on and drive long-term remediation through root cause analysis and improved signal coverage. Participation in on-call duty. Support CI/CD pipelines: Contribute to reliable delivery pipelines and maintain reusable templates using tools like GitLab CI, Flux, and Helm. Integrate with platform systems: Ensure observability and delivery tooling works seamlessly with Kubernetes and cloud services. Partner and mentor: Collaborate across teams to standardise instrumentation practices and raise the bar on observability standards organisation-wide. Ideally, you will have 5+ years in DevOps/Platform/Build Engineering, specialising in large-scale CI/CD and developer workflow optimization. Proven observability design experience (e.g. Prometheus, Grafana, Loki, Jaeger/Tempo, OpenTelemetry, Honeycomb). Strong scripting (e.g. Bash, Python, Golang) for automation and internal tools. Experience in designing and operating production CI/CD pipelines (e.g. GitLab CI, GitHub Actions, Jenkins, etc.). Knowledge of modern build/packaging (e.g. Docker, container optimisation, caching, artifact management). Experience working in cross-functional initiatives, writing shared libraries and establishing practices and standards. Relevant certifications (e.g. DevOps, Kubernetes, AWS) a plus. Your benefits Competitive salary package (including AKUP) aligned with your skills and experience. Reviewed annually. Success Share or Commission bonus payments Private Medical Insurance - Enel Med Life Insurance Multisport Program Unlimited annual holiday, because we trust our people to manage their own time off Enhanced family leave Employee Assistance Programme 4 Volunteering days off Flexible working policy Home working allowance Personal learning and development opportunities (annual dedicated budget) Referral bonus if we hire someone great who you’ve recommended to us Spot Rewards Employee of the Month and Employee of the Year awards EAP Wellbee

Technology

emagine Polska

Site Reliability Engineer

Senior

Remote

Lisbon, Portugal

🏢 Summary: Hands-on Observability Engineer role focused on building and automating enterprise-grade monitoring and observability solutions across AWS-based cloud and distributed systems. The position centers on developing infrastructure as code, CI/CD pipelines, and monitoring ecosystems to improve reliability, performance, and incident response. Approximately 90% of the role involves coding in Python and Terraform. 🗂️ Requirements: Strong hands-on experience with AWS, Strong Python development and scripting experience, Strong experience with Terraform, Experience building and maintaining CI/CD pipelines using Jenkins, Experience with Elasticsearch and ELK Stack, Experience with Linux systems, Shell scripting skills, Understanding of monitoring, logging, and alerting concepts, Experience working in Agile or DevOps environments 📃 Skills: AWS, Python, Terraform, Jenkins, Elasticsearch, ELK, Linux, Bash, CI/CD, Kubernetes, Grafana, Prometheus, Datadog, NewRelic, Snowflake, Databricks, dbt, Matillion 🏢 Description: Role Overview We are looking for a skilled and proactive Observability Engineer to implement, automate, and support enterprise-grade observability and monitoring solutions across cloud and application platforms. The ideal candidate should have strong AWS infrastructure knowledge, hands-on automation skills, and experience building reliable monitoring and alerting ecosystems for modern distributed applications. The role involves working closely with Platform Engineering, Data Engineering, and Application teams to develop observability solutions and bring operational visibility, reliability, incident detection, and platform performance. Main Responsibilities ·        Design, implement, and maintain observability solutions for cloud-native and distributed systems. ·        Build monitoring, logging, alerting, and dashboarding solutions across infrastructure and applications. ·        Develop automation scripts and tooling using Python. ·        Implement and maintain Infrastructure as Code (IaC) using Terraform. ·        Build and support CI/CD pipelines using Jenkins and Git-based workflows. ·        Configure and optimize monitoring for AWS services, Kubernetes workloads, APIs, databases, and applications. ·        Create actionable alerts and operational dashboards to improve incident response and system reliability. ·        Work with engineering teams to onboard applications into observability platforms. ·        Support troubleshooting, root cause analysis, and performance optimization initiatives. ·        Ensure observability standards, governance, and best practices are followed across projects. Key Requirements ·        Strong hands-on experience with Amazon Web Services (AWS). ·        Solid Python development/scripting experience. ·        Strong experience with Terraform. ·        Experience building and maintaining CI/CD pipelines using Jenkins. ·        Elasticsearch / ELK Stack experience and building queries. ·        Worked with Data Platforms monitoring is preferred. ·        Experience with Linux systems and shell scripting. ·        Understanding of monitoring, logging, and alerting concepts. ·        Experience working in Agile/DevOps environments. Nice to Have Skills Experience with any of the following is highly desirable: ·        Snowflake ·        Databricks ·        dbt ·        Matillion ·        Grafana ·        New Relic ·        Datadog ·        Prometheus ·        Elasticsearch / ELK Stack experience NOTES: We are looking for an Engineer who loves to build. This is a highly technical role—90% of the job is hands-on coding in python and terraform.