Senior Software Engineer

5 - 8 years

12 - 15 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

This position is located in Pune.

What You'll Do:

The Senior Software Engineer on the Engineering team is a senior member of a mission team. This individual is responsible for contributing with experience for driving progress, prioritization, implementation, design, architecture and quality. The position is within the LM Logs team in Stockholm, and will be working on problem areas related to data processing at scale, log data use cases, anomaly detection and visualization.

Here's a closer look at this key role:

  • Work with the team to prioritize and plan for deliverables in an agile development strategy.
  • Build new systems and services as well as adding to existing systems as needed. 
  • Refactor and manage technical debt of existing systems.
  • Tackle performance and design issues at a complex technical level.
  • Provides technical leadership mentoring and guidance. Trusted to represent the team to other functional teams.
  • Coordinate with  management, product, techops, support, developers.
  • Envision product improvements, system features and functionalities by working closely with customers.  
  • Collaborate with a diverse, distributed development organization across US, Scandinavia and India.
  • Keeps current on cutting-edge technology and educates others about it;
  • Explain complex subjects to a variety of audiences as a multi-domain expert.

What You'll Need:

  • 6+ years of software development experience in SaaS or enterprise applications.
  • 4+ years of full-time experience as a backend developer with a focus on Go, Java or another backend oriented language.
  • BS or above degree in computer science or related field. 
  • Experience working on call and managing incidents 
  • Experience working as part of a cross functional agile team
  • Experience working with AWS or other cloud technologies 
  • Strong understanding of event streaming architecture, databases and algorithms.
  • Strong understanding of container technology: Docker and Kubernetes
  • Experience using AI tools to enhance productivity, innovation, or problem-solving.

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