Jobs at Indium

Full-day in-person hackathon (Chennai) for SDETs to solve real-world business challenges through rapid prototyping, coding, automation, and testing. Participants will collaborate, demo solutions, and may be considered for roles at Indium.

Design, build and maintain full-stack web applications (front-end and back-end). Collaborate with stakeholders, follow the attached JD, and apply Mendix experience or certification if available.

Design and execute manual and automated test cases, analyze requirements, log and report defects with evidence, ensure cross-browser coverage, contribute to automation strategy, and collaborate with developers and stakeholders to ensure quality deliverables.

Design, develop, and maintain scalable automation frameworks for web, mobile (Android/iOS), and REST APIs. Create and run automated test scripts using Java, Selenium, Appium, TestNG, and Rest Assured. Integrate tests into CI/CD (Jenkins/GitHub Actions), maintain code in Git, analyze results, report defects, and collaborate with cross-functional Agile teams to improve quality and automation processes.

Senior data engineer responsible for designing and implementing data ingestion, curation and warehousing solutions on GCP. Build batch and streaming pipelines using Apache Beam/Dataflow, orchestrate workflows with Airflow/Cloud Composer, implement SQL standards, and leverage BigQuery and advanced Java (Python a plus).

Administer, deploy, and maintain the Snowflake cloud platform. Support migrations and application teams, manage users and access, perform backups/restores, monitor cost/credit consumption and optimize costs, resolve platform issues, handle incidents and service requests, and ensure SLA adherence and reporting.

Develop and maintain scalable backend services and APIs in Golang, query and manipulate Salesforce data using SOQL, integrate with data platforms (Hive, MySQL) and Kafka, collaborate with internal frameworks (Glue, Cadence, FX, M3, uMonitor), and debug, optimize, and monitor distributed, real-time systems for reliability and performance.

Hiring multiple developer and consultant roles across .NET, Mendix, Dynamics 365, and Power Platform. Responsibilities include designing, building, and integrating enterprise applications, APIs, microservices, custom connectors, and Dataverse solutions; performing code reviews, mentoring, testing, ALM and deployment; and supporting UAT, training, and go-live activities.

Design, build, and maintain modular automation test frameworks for UI (Selenium/Cypress/Playwright), APIs (RestAssured/Postman/Karate), and backend/database validation. Integrate tests into CI/CD, run functional and non-functional test suites, support cross-browser and mobile automation, create test data utilities, and collaborate with developers, DevOps, and product teams to define acceptance criteria, review defects, and deliver quality across staging and production environments.

Lead development of Python-based solutions for embedded systems, contribute to Bluetooth stack and firmware integration, build test automation and CI/CD pipelines, debug systems, collaborate across teams, mentor junior engineers, and document workflows.

Senior front-end developer role: design and implement visually aesthetic UIs, identify and fix front-end bugs and performance issues, write unit tests and documentation, integrate front-end with APIs, and apply UX/UI and basic SEO principles while collaborating with team members.

Lead ETL and data warehouse testing: create and execute ETL test plans, validate mappings/transformations/loads, perform metadata, completeness, accuracy, transformation and quality testing, reconcile source and target data using SQL, coordinate onshore/offshore teams, and report status for enterprise e-commerce projects.

Design and implement ETL/ELT pipelines using Azure Databricks and ADF. Analyze data, apply data warehouse concepts and complex SQL, provide technical expertise to stakeholders, work independently within Agile teams, and respond to client data questions and insights.

Hiring data professionals (Analyst, Engineer, Scientist) to extract, clean, model, and visualize data; build ETL/ELT pipelines, data lakes/warehouses; develop ML models; run A/B tests; provide insights via dashboards and cross-functional collaboration.

Design and review end-to-end ML architectures, build scalable models and MLOps pipelines, drive data and model lifecycle strategy, and create solution blueprints for backend and cloud-native systems while collaborating with product, data engineering, and infrastructure teams.

Lead and execute functional, regression, unit, web, database, and web service testing; maintain QA/UAT/training/demo environments; manage release process; analyze requirements; create and review test plans/cases and automation scripts; identify dynamic elements with complex XPath/CSS; own defects to resolution; participate in design and Agile ceremonies; train teammates and communicate with clients.

Hiring multiple engineering roles (backend, frontend, fullstack, cloud/devops). Responsibilities include building scalable APIs and UIs, database design, CI/CD and containerized deployments, cloud infrastructure automation, monitoring, security, and collaboration across product and design teams.

Provide advanced L2.5/L3 application support for investment management systems: analyze and debug code-level issues, manage incident response and 24x7 on-call rotation, coordinate releases and environment readiness, troubleshoot data workflows and APIs, drive root-cause analysis, ensure production stability/security, and participate in disaster recovery and environment setup.

Design, build and migrate data warehouses to Snowflake. Develop Snowflake database objects, write complex SQL, implement Snowpipe and ETL/ELT, define CI/CD, monitoring, orchestration and data quality. Model data (star/snowflake schemas), work on heterogeneous migrations and collaborate with cloud/Databricks and data engineering tools.

Design, develop, and maintain JavaScript-based automation testing frameworks; create and run automated and manual tests for web and insurance platforms; use AI-assisted testing tools to improve efficiency; manage regression suites; collaborate with developers, analysts, and product teams; identify, track, and resolve defects; contribute to test planning, reporting, and continuous improvement.