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Open nowPosted 9 days ago

Senior Software Engineer - Backend

Apna

Where
Bengaluru, KA, India
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Your applicationOpen nowSenior Software Engineer - BackendApna · Bengaluru, KA, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Apna's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 9 days ago

The posting

About Apna

Since 2019, apna has connected over 60 million jobseekers with more than 250,000 enterprises and small business across India. Founded by Nirmit Parikh, a Stanford graduate and serial entrepreneur who recognized the challenges in entry-level hiring, apna has rapidly grown to become India's fastest unicorn in 2021 achieving this milestone in just 21 months.

Backed by Marquee global investors - Insight Partners, Tiger Global, Lightspeed India, Sequoia Capital, and GSV, we're revolutionizing livelihood creation across India.

About the Role

We are looking for a Senior Software Engineer – Backend with 4–6 years of hands-on experience in designing and building scalable, reliable, and high-performance backend systems.

The ideal candidate should have strong expertise in Golang and hands-on experience with System Design, MongoDB, Elasticsearch, Kafka, and MySQL. You will be responsible for designing backend services, solving complex engineering problems, and building systems that can scale with business growth.

Experience: 4–6 Years

Employment Type: Full-time

Requirement: 1

Location: Work from office (Bangalore - Domlur | 5 days)

Requirements

Key Responsibilities:

  • Design, develop, and maintain scalable and high-performance backend services using Golang.
  • Own backend components/services end-to-end, from design and development to deployment and production support.
  • Participate in system design and architecture discussions and make appropriate technology and design decisions.
  • Design and implement REST APIs and distributed backend services.
  • Work with MongoDB and MySQL for data modeling, query optimization, indexing, and performance tuning.
  • Build and maintain search and indexing solutions using Elasticsearch.
  • Design and implement event-driven architectures using Kafka.
  • Identify and resolve performance, scalability, reliability, and production issues.
  • Write clean, maintainable, testable, and production-ready code.
  • Conduct code reviews and contribute to engineering best practices.
  • Collaborate with Product, Frontend, Data, QA, DevOps, and other engineering teams.
  • Mentor junior engineers and contribute to improving the team's engineering standards.
  • Take ownership of technical problems and drive them to resolution.

Required Skills

  • 4–6 years of professional software development experience.
  • Strong hands-on experience with Golang.
  • Strong understanding and hands-on experience with System Design.
  • Experience designing scalable and distributed systems.
  • Strong experience with MongoDB, including:
  • Data modeling
  • Indexing
  • Query optimization
  • Aggregation
  • Hands-on experience with MySQL and relational database concepts.
  • Hands-on experience with Elasticsearch, including indexing and search optimization.
  • Hands-on experience with Kafka and event-driven systems.
  • Strong understanding of REST APIs, microservices, and distributed systems.
  • Good understanding of concurrency, data structures, algorithms, and software design principles.
  • Strong debugging and problem-solving skills.
  • Experience working with production systems and troubleshooting complex issues.

Good to Have

  • Experience working with AWS/GCP/Azure.
  • Experience with Docker and Kubernetes.
  • Experience with CI/CD pipelines.
  • Experience with observability tools such as Datadog, Grafana, Prometheus, or similar.
  • Experience building highly available and fault-tolerant systems.
  • Experience working in a high-scale consumer/product environment.
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