Senior Site Reliability Engineer

1 miesiąc temu

Kraków, Lesser Poland Philip Morris International Pełny etat
MAKE HISTORY WITH USAt PMI, we've chosen to do something incredible. We're totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future.
With huge change, comes huge opportunity.

So, wherever you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

We have built the data platform over the last few years to enable PMI's data and analytics driven transformation journey.

The data platform consists of state-of-the-art architecture and technologies e.g. database, data lack, data ingestion, ELT, Cloud, data orchestration, business intelligence, advanced analytics etc.

Our team is responsible for building, evolving and operating the data platform for various PMI teams who build data products & applications on top of it.

We are seeking a talented and experienced Senior Site Reliability Engineer with experience in working with SQL, Snowflake, Redshift, AnzoGraph DB and/or other DBMS platforms and Big Data processing tools to join our team.

You will play a crucial role in building an approach using the available observability tools and infrastructure to improve automation, resiliency and maintainability of our data platform.

You will collaborate with cross-functional teams to ensure the availability, performance, and reliability of our systems.

In this role, you will be responsible for designing, implementing, and managing observability solutions, monitoring and diagnosing issues, and providing insights to improve system efficiency.

The ideal candidate will have a strong background in SRE practices, cloud infrastructure, and observability tools such as Grafana, Prometheus, ELK stack, New Relic, Dynatrace etc.

as well as alerting tools like PagerDury or OpsGenie.

If you have a passion for enhancing system observability, troubleshooting complex problems, and driving continuous improvements, we want to hear from you.

JOIN USWHO ARE WE LOOKING FOR?

  • 5+ years of experience in data engineering, data science or data analytics
  • Proven experience in implementing and managing observability tools such as Grafana, Prometheus, and ELK stack
  • Experience in working with ETL orchestration and workflow management tools like Airflow, Wherescape, DBT and Matillion
  • Experience in working with SQL, Snowflake, Redshift, AnzoGraph DB and/or other DBMS platforms and Big Data processing tools
  • Experience with cloud infrastructure platforms (e.g., AWS, Azure, GCP) and logging and monitoring frameworks such as SIEM or Splunk
  • Proficient in scripting languages such as Python, Java, Bash, or PowerShell
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration abilities
  • Experience in managing and optimizing system performance and availability
  • Knowledge of security best practices in system monitoring and observabilityWHAT WE OFFER YOU?
  • Private medical and dental care, life insurance
  • Lunch card (Sodexo)
  • Hybrid work opportunity and flexible working arrangements
  • Employee pension plan
  • Multisport program
  • Cafeteria program
  • Wide range of trainings, optional language classes, further education and professional qualification support possibility
  • Free bike and car parking for all employeesHOW CAN YOU MAKE HISTORY WITH US?
  • Design and implement observability covering logging, monitoring, tracing and alerting solutions, increasing systems visibility and enabling faster recovery from incidents
  • Automate systems management, focusing on performance, scalability and improving utilization
  • Ensure all services and solutions designed are built in adherence to PMI's Information Technology Policy Framework (ITPF) and are fully industrialized for consumption by customers and technology groups
  • Actively participate in Community of Practice (COP) for SRE and promote SRE disciplines and practices including SLOs and SLIs
  • Work in a data driven environment to set, monitor and meet ambitious data availability and quality goals
  • Detect (log, monitor, alert), Resolve (assess, communicate, resolve) and Prevent (adapt, assess, review) data availability and quality issues
  • Develop and maintain dashboards, alerts, and visualizations to provide insights into Data Platform behavior
  • Collaborate with developers and operations teams to optimize system performance and availabilityPlease note that only online applications will be taken into consideration. Only selected candidates will be contacted.#LI-Hybrid

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