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Staff Site Reliability Engineer (BIG DATA), Warsaw

Client:

VISA

Location:

Warsaw, Poland

Job Category:

Other

EU work permit required:

Yes

Job Reference:

a904bd144234

Job Views:

20

Posted:

23.01.2025

Expiry Date:

09.03.2025

Job Description:

Job Description And Responsibilities

Staff Site Reliability Engineer - Product Reliability Engineering

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

The Opportunity:

As a Staff Site Reliability Engineer in Product Reliability Engineering, you will be part of a team that maintains and supports Visas Data Platform and provides support for key Big Data Platforms. You will be responsible for driving innovation for our partners and clients, within Visa and globally. You will work on open-source Big Data clusters, ensuring their availability, performance, reliability, and improving operational efficiency.

The Work itself:

Essential Functions:

1. The role involves performing Big Data Administration and Engineering activities on multiple open-source platforms such as Hadoop, Kafka, HBase, and Spark. The successful candidate will possess strong troubleshooting and debugging skills.
2. Other responsibilities include effective root cause analysis of major production incidents and the development of learning documentation. The person will identify and implement high-availability solutions for services with a single point of failure.
3. The role involves planning and performing capacity expansions and upgrades in a timely manner to avoid any scaling issues and bugs. This includes automating repetitive tasks to reduce manual effort and prevent human errors.
4. The successful candidate will tune alerting and set up observability to proactively identify issues and performance problems. They will also work closely with Level-3 teams in reviewing new use cases and cluster hardening techniques to build robust and reliable platforms.
5. The role involves creating standard operating procedure documents and guidelines on effectively managing and utilizing the platforms. The person will leverage DevOps tools, disciplines (Incident, problem, and change management), and standards in day-to-day operations.
6. The individual will ensure that the Hadoop platform can effectively meet performance and service level agreement requirements. They will also perform security remediation, automation, and self-healing as per the requirement.
7. The individual will concentrate on developing automations and reports to minimize manual effort. This can be achieved through various automation tools such as Shell scripting, Ansible, or Python scripting, or by using any other programming language.

The Skills You Bring:

1. Energy and Experience : A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale.
2. Challenge the Status Quo : Comfort in pushing the boundaries, “hacking” beyond traditional solutions.
3. Language Expertise : Expertise in one or more general development languages (e.g., Java, Python).
4. Builder : Experience building and deploying distributed systems.
5. Learner : Constant drive to learn new technologies such as cloud technologies, Kubernetes, MLOPS.
6. Partnership : Experience collaborating with Engineering, Application, and Other functional teams.

*We do not expect that any single candidate would fulfill all these characteristics. For instance, we have awesome team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications



• 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.



Preferred Qualifications



• Hadoop/Big-Data:

• Sound knowledge on managing large scale Hadoop platforms including monitoring the platform, debugging issues, and tuning the performance of the cluster.

• In-depth knowledge of the Hadoop ecosystem, including Zookeeper, HDFS, Yarn, HIVE, and SPARK.

• Proven experience in debugging issues on both Hadoop platform and applications.

• Familiarity with security tools such as Kerberos, Ranger, and active directory integrations.

• Knowledge of Cloud technologies, Kubernetes, AI, MLOPS will be advantageous.

• Automation: Hands-on Experience with automations using Ansible, Shell, Python, or any programming languages. The ability to automate the manual tasks is key in this role.

• Observability: knowledge on observability tools like Grafana, opera and Splunk.

• Linux: understanding of Linux, networking, CPU, memory, and storage.

• Programming Languages: Knowledge of and ability to code or program in one of Java, Python or a widely used coding language.

• Communication: Excellent interpersonal skills, along with superior verbal and written communication abilities.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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