Senior Backend Software Engineer (Java)

Nexthink

5 - 10 years

7 - 12 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

automation backend multithreading query optimization nosql analytical schema data structures troubleshooting operations

Work Mode

Work from Office

Job Type

Full Time

Job Description

Backend Software Engineer

full, end-to-end ownership

Experience:
Minimum
5 years
of experience in software development
Enterprise Java:
Excellent Java skills and a deep understanding of the JVM ecosystem
Concurrency Engineering:
Advanced understanding of multithreading, thread-safety, and concurrent data structures for high-throughput environments.
Frameworks:
Expertise with production-grade Java frameworks like Spring Boot or Micronaut for building robust microservices.
Scalable Architecture:
Proven experience architecting and operating resilient and scalable microservices in a cloud environment, utilizing:
- APIs (e.g., RESTful, event-driven).
- Containerization and orchestration (
  Docker
  ,
  Kubernetes
  , and
  Helm
  ).
- High-throughput messaging architecture (e.g.,
  Kafka
  ).
Cloud Operations:
Practical experience building and running services on public cloud providers, preferably
AWS
, including monitoring, alerting, and operational best practices.
Data Persistence:
Expertise in designing, optimizing, and operating high-volume data persistence layers. This requires
- Relational Database:
  Advanced schema design, complex query optimization, and operation of systems like
  Postgres
  .
- Distributed Data Stores:
  Practical knowledge of NoSQL concepts (e.g., key-value, document stores) and proficiency in utilizing distributed stores for low-latency, high-throughput applications.
Fluent in English (spoken and written)

Desirable Pluses:

Practical experience with modern
DevOps
practices and
GitOps
workflows (e.g., using
FluxCD
) where the team manages infrastructure as code
Working knowledge of high-performance analytical databases, specifically
ClickHouse
Proficiency with observability and monitoring tools such as
DataDog
(or Prometheus/Grafana) for production troubleshooting and optimization

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