# Software Dev Engineer III

**Company**: SWIGGY
**Location**: Bengaluru, KA
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.smartrecruiters.com/SWIGGY/6000000001526174-software-dev-engineer-iii?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f7f14613-44b

## Description

As a Software Dev Engineer III at Swiggy, you will design and build foundational platform capabilities across data ingestion, distributed compute, storage, and serving.

You will own problems end-to-end,from architecture and implementation through rollout, observability, and operations,and help raise the engineering bar for the team.

This role is for an engineer who enjoys solving difficult systems problems: keeping data pipelines dependable as volumes and workloads grow, making platform behavior predictable for users, and improving performance and cost without compromising correctness or governance.

Responsibilities:

- Design, build, and operate scalable data-platform services and distributed systems used by product, analytics, and machine-learning teams.

- Develop reliable batch and streaming data processing and ingestion capabilities, with clear guarantees around correctness, recovery, and data freshness.

- Improve the performance, availability, and cost efficiency of data workloads through sound architecture, measurement, and iterative optimization.

- Build platform abstractions and self-service workflows that make common data tasks easier and safer for engineering and data users.

- Establish strong operational practices: observability, alerting, capacity planning, incident response, and durable root-cause fixes.

- Apply access control, data governance, and safe change-management practices to production systems and datasets.

- Lead technical design reviews, break down ambiguous problems, and make pragmatic decisions that balance speed, reliability, and maintainability.

- Partner with infrastructure, product, analytics, and machine-learning teams to understand needs and deliver platform capabilities with measurable outcomes.

- Mentor engineers through design and code reviews, and contribute to a culture of ownership and continuous improvement.

Requirements:

- 8+ years of software engineering experience building and operating production systems, including meaningful experience with distributed systems or data infrastructure.

- Strong programming skills in one or more languages such as Java, Scala, Python, or Go, and the ability to write maintainable, well-tested code.

- A solid understanding of distributed computing concepts, data structures, concurrency, fault tolerance, and system design.

- Hands-on experience with large-scale data processing or streaming technologies,for example, Apache Spark, Kafka, Flink, or comparable systems.

- Experience designing reliable data pipelines and working with data storage formats, lakehouse systems, or analytical warehouses.

- Good SQL skills and an understanding of data modeling, partitioning, performance tuning, and data-quality concerns.

- Experience operating cloud-based production systems, including monitoring, troubleshooting, and managing service reliability.

- A strong sense of ownership: you can take a problem from an unclear requirement to a production solution and its ongoing health.

- Clear communication skills and the ability to work effectively across engineering and data-focused teams.

Nice to have:

- Experience with platforms such as Databricks, Delta Lake, Apache Iceberg, Snowflake, or similar technologies.

- Experience building multi-tenant platforms, developer tooling, or self-service infrastructure.

- Experience with data governance, lineage, access control, or privacy-aware data systems.

- A track record of improving reliability, performance, or infrastructure cost at significant scale.

- Experience leading technical initiatives and helping other engineers grow.

How success looks:

- Data workloads become more reliable and easier to operate as platform usage and complexity grow.

- Platform users can onboard and run workloads with less manual intervention and clearer operational feedback.

- Improvements to performance, cost, freshness, or reliability are measurable and sustained.

- Technical decisions and production changes are well documented, observable, and safe to evolve.

## Skills

### Required
- Java
- Scala
- Python
- Go
- Apache Spark
- Kafka
- Flink
- SQL
- distributed systems
- data structures
- concurrency
- fault tolerance
- system design

### Nice to have
- Databricks
- Delta Lake
- Apache Iceberg
- Snowflake
- multi-tenant platforms
- developer tooling
- self-service infrastructure
- data governance
- lineage
- access control
- privacy-aware data systems

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/SWIGGY/6000000001526174-software-dev-engineer-iii?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)