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Distributed Systems Engineer

Medallia India
This Job is No Longer Active This position is no longer accepting applications
AI Summary

At Medallia, we're seeking a hands-on engineer with a passion for solving complex problems in high-performance systems. You'll optimize data structures, collaborate with cross-functional teams, and develop new components using Java, Go, or Python. This is a full-time opportunity based in Pune, India.

Key Highlights
Optimize data structures and algorithms for high-scale architectures
Collaborate with cross-functional teams to ensure system availability
Develop new components and automate routine tasks
Technical Skills Required
Java Go Python Kafka Redis Elasticsearch MongoDB Cassandra Trino Hadoop Airflow Spark
Benefits & Perks
Flexible work arrangement
Location: Pune, India

Job Description


Overview

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

The Role and Team

We are seeking a hands-on engineer with a passion for solving complex and challenging problems in high-performance distributed systems. As a key member of our Platform Services team, you will be responsible for ensuring the continuous availability of our systems, maintaining a minimum uptime of 99.99%.

This role is based remotely in Pune. Candidates for this position are required to reside within the Pune metropolitan area. Relocation support is not available at this time.

Responsibilities


  • Data Structures & Algorithms: Optimize data structures and algorithms to support high-scale architectures.
  • Cross-Team Collaboration: Partner closely with engineering teams to ensure uninterrupted service.
  • Architecture Oversight: Monitor product architecture to ensure compliance with established standards.
  • Service Management: Fully manage shared services, including productization, observability, troubleshooting, security, analysis, design, testing support, upgrades, and documentation.
  • Development & Automation: Develop new components and automate routine activities such as deployments, upgrades, and environment setups.
  • Troubleshooting & Optimization: Demonstrate strong troubleshooting, debugging, and performance tuning skills.
  • Agile Teamwork: Collaborate in a self-organized, agile team environment with like-minded engineers.


Qualifications

Minimum Qualifications


  • 5 years of combined experience in software or system development and/or with DevOps
  • System Development: Experience in building distributed or enterprise systems using a modern technology stack.
  • Software Engineering Fundamentals: Foundation in software engineering principles, with proficiency in high-level programming languages such as Java, Go, or Python.
  • 2 years of experience in distributed services and high availability
  • Distributed Services Expertise: Experience with distributed services such as Kafka, Redis, Elasticsearch, MongoDB, Cassandra, Trino, Hadoop, Airflow, and Spark, either from an administrative or client-side perspective.


Preferred Qualifications


  • Educational Background: Degree in Computer Science, Engineering, or a related field.
  • Enterprise Software: Experience in developing enterprise-grade software and handling large volumes of data.
  • Cloud & Kubernetes: Experience managing and building services on cloud infrastructure and Kubernetes.
  • DevOps Experience: Familiarity with DevOps practices and tools.
  • Agile Methodology: Experience working in agile processes within fast-paced, distributed teams.
  • Ownership & Quality: Demonstrate an ownership mindset with attention to detail and a commitment to quality.


At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at [email protected]. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.

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