Principal Software Quality Engineer

New

WeekdayDistributed databases

Remote (India), Bengaluru, Karnataka, IndiaFull-TimePrincipal

Salary4,000,000 - 7,000,000 INR per year

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Job Details

Experience: 10–18 years of experience
Required Skills: PythonJenkinsGitHub ActionsDistributed Systems

Requirements

Have 10–18 years of experience in Software Quality Engineering, SDET, or Systems Engineering, with demonstrated Staff- or Principal-level technical impact.
Bring hands-on experience testing distributed databases or storage systems, preferably NoSQL platforms; distributed relational databases are also relevant.
Have experience testing replication, partitioning, sharding, consistency, transactions, secondary indexes, backup and restore, and cross-datacenter replication.
Understand distributed-systems fundamentals, including replication protocols, consensus, quorum reads and writes, consistency models, split-brain scenarios, clock skew, and failure recovery.
Be able to read and debug server-side code in C, C++, Go, Rust, or Java and trace defects to specific functions and root causes.
Understand protocol and serialization edge cases, including wire formats, MessagePack, Protocol Buffers, Thrift, and compression codecs.
Have strong Python software engineering and automation skills, plus proficiency in at least one systems programming language.
Have practical experience with fault injection, GDB, chaos-style testing, network and disk faults, corrupted inputs, version skew, and boundary-value testing.
Have experience across unit, integration, API, contract, end-to-end, performance, scalability, upgrade/downgrade, and soak testing.
Have strong CI/CD experience with GitHub Actions, Jenkins, or equivalent tools, and experience managing shared test infrastructure.
Have practical experience using AI agents for testing, including agent workflows, tool integration, prompt and evaluation design, and integration with testing frameworks.
Be able to lead debugging and root-cause investigations across QE, client, and server teams and produce actionable technical analysis.

Responsibilities

Own the platform’s quality strategy, test architecture, coverage models, release gates, and risk-based prioritization.
Drive quality across server components, client SDKs, operator and backup tooling, and management interfaces.
Design testing strategies for replication, rebalancing, partitioning, consistency, transactions, indexes, query planning, backup and restore, and cross-datacenter replication.
Validate cluster correctness under failures, network partitions, clock skew, disk issues, upgrades, mixed-version deployments, and soak tests.
Build and maintain scalable test frameworks using Python, pytest, custom harnesses, API testing, and end-to-end automation.
Improve test-farm reliability by reducing flaky tests and strengthening regression coverage across shared infrastructure and CI/CD.
Integrate AI agents into testing frameworks for test execution, log and state inspection, defect reporting, and failure triage.
Develop evaluation frameworks using golden datasets, graders, and regression suites to measure AI-generated output reliability.
Investigate defects at source-code level and provide minimal reproducible cases and root-cause analysis.
Collaborate with QE, client, and server engineering teams, and mentor senior QEs and SDETs on debugging and test architecture.

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