Peliqan
https://peliqan.ioAbout
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Jobs at Peliqan
Python
Kubernetes
Docker
Amazon Web Services (AWS)DevOps Engineer
Location: Bangalore office
About Peliqan
Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.
The Role
Own and evolve the infrastructure powering Peliqan's multi-tenant data platform. You'll manage Kubernetes clusters, cloud resources, CI/CD pipelines, and monitoring — keeping everything reliable, secure, and scalable. You'll be the go-to person for infrastructure support across the engineering team.
Responsibilities
Manage and optimise Kubernetes clusters running production workloads — data pipelines, APIs, and customer-facing services.
Maintain Docker-based local development environments for the engineering team.
Administer cloud infrastructure on AWS and Google Cloud (compute, storage, networking, managed databases).
Build and maintain CI/CD pipelines for automated testing, building, and deploying across staging and production.
Set up and manage monitoring, alerting, and logging for platform health and incident response.
Manage release processes — deployments, rollbacks, and release strategies.
- Maintain infrastructure-as-code using Helm charts.
- Support security hardening and compliance efforts (SOC 2, GDPR).
Requirements
3+ years in a DevOps, SRE, or Infrastructure Engineering role.
Strong hands-on experience with Kubernetes and Helm charts.
Deep familiarity with Docker for containerisation and local dev workflows.
Production experience with AWS and/or Google Cloud.
- Proficiency in Python and Bash scripting for automation and tooling.
- Solid grasp of DevOps principles: infrastructure-as-code, GitOps, observability, continuous delivery.
- Experience with CI/CD platforms (GitHub Actions, GitLab CI, or similar).
Nice to Have
- Experience supporting multi-tenant SaaS platforms or data infrastructure at scale.
- Knowledge of PostgreSQL, MySQL, or cloud-managed database administration.
- Exposure to security compliance frameworks (SOC 2, ISO 27001, GDPR).
PythonQA Tester
Location: Bangalore office
About Peliqan
Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.
The Role
Own quality end-to-end across Peliqan's platform — from the frontend UI and data apps to backend pipelines, connectors, and APIs. You'll design test strategies, build automated test suites, and work closely with developers to ship reliable software. Comfort using AI tools to accelerate test creation is essential.
Responsibilities
Design and maintain test plans covering manual and automated testing for features, regressions, and releases.
Write unit tests for the frontend (Jest) and backend (pytest).
- Build and extend end-to-end test suites using Playwright across critical user flows — connector setup, data transformations, data app publishing, API creation.
- Use AI tools (Copilot, Claude, etc.) to rapidly generate and refine test cases and test data.
- Triage, document, and track defects with clear reproduction steps.
- Integrate automated tests into CI/CD pipelines.
- Conduct exploratory testing across data pipelines, the query engine, and user-facing interfaces.
Requirements
2+ years in a QA or SDET role, ideally in SaaS or data products.
Hands-on experience with Jest, pytest, and Playwright.
- Comfortable with Python for scripting and test automation.
- Demonstrated use of AI tools to craft and scale test suites.
- Familiarity with CI/CD pipelines and REST API testing.
- Strong analytical mindset and clear written communication.
Nice to Have
- Experience testing ETL/ELT pipelines or database-heavy applications.
- Familiarity with SQL and data validation testing.
- Exposure to Docker and containerised environments.
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