NICE

DevOps Engineer

Pune, India
SQL PowerShell Streaming Spark PostgreSQL C# Python Java Kafka MySQL AWS Kubernetes Bash Azure GCP Docker
Description

At NICE, we don’t limit our challenges. We challenge our limits. Constantly. We’re relentless. We’re ambitious. And we make an impact. Our NICErs bring their A game and spend each day turning it into an A+. And if you’re like us, we can offer you the kind of challenge that will light a fire within you.

 So, what’s the role all about?

As a Data Reliability Engineer, you will play a crucial role in ensuring the availability, performance, and reliability of our organization's data infrastructure and systems. You will collaborate closely with data engineers, data scientists, software engineers, and other cross-functional teams to design, build, and maintain data pipelines, databases, and related infrastructure. Your primary focus will be on creating and maintaining a robust and scalable data platform that supports the organization's data needs.

How will you make an impact?

  • System Architecture and Design**: Collaborate with data engineering and software development teams to design and implement data systems, ensuring scalability, high availability, and reliability.
  • Data Pipeline Management**: Develop and maintain data pipelines that collect, process, and move data between various systems, ensuring data accuracy and consistency.
  • Database Management**: Manage database systems, including configuration, performance optimization, backup and recovery, and data integrity.
  • Monitoring and Alerting**: Implement monitoring solutions to proactively identify and address potential issues. Set up alerts and notifications to ensure timely responses to system anomalies.
  • Performance Optimization**: Identify performance bottlenecks in data systems and work to optimize query performance, data processing, and overall system efficiency.
  • Incident Management**: Respond to and resolve data infrastructure incidents, minimizing downtime and data loss. Participate in on-call rotations as needed.
  • Automation and Tooling**: Develop automation scripts and tools to streamline operational tasks, deployments, and infrastructure provisioning.
  • Security and Compliance**: Implement security best practices to protect sensitive data. Ensure compliance with relevant data privacy and security regulations.
  • Collaboration**: Work closely with cross-functional teams to understand data requirements, provide technical expertise, and ensure data solutions meet the needs of various stakeholders.
  • Documentation**: Create and maintain documentation for data infrastructure, processes, and best practices.
  • Continuous Improvement**: Stay up-to-date with emerging technologies and industry trends. Identify opportunities for process and technology improvements and drive their implementation.

Have you got what it takes?

  • Bachelor's or higher degree in Computer Science, Information Technology, or a related field.
  • Experience – 2 to 4 yrs
  • Proven experience as a Data Engineer, Database Administrator, or similar role, with a focus on data reliability and system performance.
  • Strong expertise in data pipeline tools and technologies such as Apache Spark, Apache Kafka, Airflow, etc.
  • Proficiency in SQL and experience with database systems such as PostgreSQL, MySQL, or NoSQL databases.
  • Experience with cloud platforms such as AWS, Azure, or GCP, and their relevant data services.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Strong scripting and automation skills (Python, Bash, etc.).
  • Understanding of DevOps principles and practices.
  • Excellent problem-solving skills and the ability to troubleshoot complex data issues.
  • Strong communication skills and the ability to collaborate effectively in a team environment.
  • Operate without needing close guidance on tasks.

You will have an advantage if you also have:

  • Java/C#/Python/Powershell
  • Jenkins
  • GitHub / Github Actions
  • AWS / Azure
  • SQL (Must be able to query data in multiple systems efficiently)
  • CI/CD toolsets
  • Building and supporting Data pipelines
  • Troubleshooting data flows from end to end
  • Kafka/streaming data
  • Snowflake
  • Supporting data lakes
  • Grafana / Prometheus

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 4137
Reporting into:
Group Manager, Engineering

Role Type: Individual Contributor

About NICE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

 

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