Senior Staff Data Platform Software Engineer

Snow Planet

Ahmedabad District

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

Snow Planet is seeking a Senior Staff Software Engineer in Platform Persistence to lead a data lifecycle program within our cloud-native environment. You will guide the team in designing scalable data platform solutions, optimize concurrency and memory usage, and ensure secure data management across services.

You will collaborate with cross-functional teams to tackle AI-enabled data challenges, including data loss detection and recovery, while applying best practices and guardrails for

Qualifications

  • 15+ years of software development experience in cloud-based environments.
  • Proficiency in Java and strong data structures/algorithms.
  • Proficiency with concurrency and parallel programming concepts.
  • Deep knowledge of databases, data modeling, and data storage technologies.
  • Strong relational database experience handling large data.
  • Hands-on experience with Java services in Kubernetes environments.
  • Understanding of cloud-based and distributed systems.
  • Experience with distributed storage systems such as S3 and Apache Iceberg at scale is a plus.
  • Proven experience in leading and mentoring engineering teams.
  • Familiarity with ServiceNow platform is a plus.
  • Excellent problem-solving and communication skills.
  • Knowledge of JavaScript is beneficial for cross-functional collaboration.
  • Track record of applying AI to distributed-systems problems; MCP/A2A experience is a plus.

Responsibilities

  • Lead and guide the development team in the design and implementation of data platform solutions.
  • Write highly scalable code focusing on concurrency and memory efficiency.
  • Shape and execute data management strategies for scalability and security.
  • Collaborate with cross-functional teams to define data-related initiatives.
  • Explore challenging data problems including data loss detection and recovery.
  • Champion data best practices and security standards across the organization.
  • Monitor and optimize data performance and implement improvements.
  • Stay current with data storage and management technologies.
  • Drive the use of AI to solve hard distributed-systems problems at scale; promote guardrails for AI-led development.

Skills

Java
Data structures
Algorithms
Concurrency
Kubernetes
Databases
Data modeling
Distributed systems
S3
Iceberg
AI in data
Mentoring
JavaScript

Job description

Position Overview
  • ServiceNow is seeking a highly motivated and experienced Senior Staff Software Engineer in Platform Persistence to lead a team dedicated to the meticulous management of data lifecycles within the ServiceNow ecosystem. This pivotal role focuses on ensuring the efficient stewardship of data within our platform.
  • The Platform Persistence team is at the forefront of some of the most impactful projects, offering visibility to the executive leadership. As part of this team, you will play a crucial role in shaping the future of our platform s data architecture and ensuring that data is stored, retrieved, and managed efficiently.
  • In addition to traditional data management, this team will have a unique focus on exploring alternate storage technologies.
Key Responsibilities
  • Lead and guide the development team in the design and implementation of data platform solutions.
  • Writing highly scalable code leveraging best practices on concurrency and memory utilization.
  • Shape and execute data management strategies, ensuring scalability, efficiency, and security.
  • Collaborate with cross-functional teams to define and implement data-related initiatives.
  • Explore and experiment with challenging data problems including but not limited to data loss detection & recovery.
  • Champion data best practices and security standards across the organization.
  • Monitor and optimize data performance, troubleshooting and implementing improvements as needed.
  • Stay current with the latest data storage and management technologies.
  • Drive the use of AI to solve the most difficult data and distributed systems problems at scale; be a strong voice on guardrails and process for AI-led software development across the team. Experience shipping MCP/A2A-enabled platform capabilities is a plus.
  • Act as a technical leader, providing mentorship and fostering a culture of innovation and continuous improvement. Qualifications
Qualifications
  • 15+ years of software development experience within a high-traffic, cloud-based environment.
  • Proficiency in Java programming and strong expertise in data structures and algorithms.
  • Proficiency with concurrency and parallel programming concepts.
  • Deep knowledge of databases, data modeling, and data storage technologies.
  • Strong relational database experience to handle large amount of data on relational systems.
  • Hands-on experience with writing and deploying java services in Kubernetes environments.
  • Strong understanding of cloud-based and distributed systems.
  • Experience with distributed storage systems such as S3 and Apache Iceberg at scale is a strong plus.
  • Proven experience in leading and mentoring engineering teams.
  • Familiarity with ServiceNow platform is a plus.
  • Excellent problem-solving and communication skills.
  • Working knowledge of JavaScript is beneficial for cross-functional collaboration.
  • Track record of applying AI to hard distributed-systems problems, with strong judgment on guardrails/process for AI-led development; MCP/A2A platform experience is a plus.
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