Manager Automation Testing – Selenium

Position: Lead Backend Engineer

Location: Remote

Experience: 10+ Years

Budget: 1.7 LPM

Employment Type: [Contract]

Required Skills & Qualifications:

• 10+ years of proven backend engineering experience.
• Strong proficiency in Python.
• Expertise in SQL (Postgres) and database optimization.
• Hands-on experience with OpenAI APIs.
• Strong command of FastAPI and microservices architecture.
• Solid knowledge of debugging, troubleshooting, and performance tuning.

Nice to Have:

• Experience with Agentic Systems or ability to quickly adopt them.
• Exposure to modern CI/CD pipelines, containerization (Docker/Kubernetes), and cloud platforms (AWS, Azure, or GCP).

Job Description:

• He / She candidate must possess a strong technology background with advanced knowledge of Java and Python based technology stack.
• Java, JEE, Spring MVC, Python, JPA, Spring Boot, REST API, Database, Playwright, CI/CD pipelines
• * At least 3 years of Hand-on Java EE and Core Java experience with strong leadership qualities.
• * Experience with Web Service development, REST and Services Oriented Architecture.
• * Expertise in Object Oriented Design, Design patterns, Architecture and Application Integration.
• * Working knowledge of Databases including Design, SOL proficiency.
• * Strong experience with frameworks used for development and automated testing like SpringBoot, Junit, BDD etc.
• * Experience with Unix/Linux Operating System and Basic Linux Commands.
• * Strong development skills with ability to understand technical design and translate the same into workable solution.
• * Basic knowledge of Python and Hand-on experience on Python scripting
• * Build, deploy, and monitor applications using CI/CD pipelines, * Experience with agile development methodology.
• Good to Have - Elastic Index Database, MongoDB. - No SQL Database Docker Deployments, Cloud Deployments Any Al ML. snowflake Experience
• 
  

Job Description

Mandatory Requirements 

• Experience in AWS Glue

• Experience in Apache Parquet 

• Proficient in AWS S3 and data lake 

• Knowledge of Snowflake

• Understanding of file-based ingestion best practices.

• Scripting language - Python & pyspark

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 

• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 

• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 

• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 

• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.

• Define process improvement opportunities to optimize data collection, insights and displays.

• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 

• Identify and interpret trends and patterns from complex data sets 

• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 

• Key participant in regular Scrum ceremonies with the agile teams  

• Proficient at developing queries, writing reports and presenting findings 

• Mentor junior members and bring best industry practices.

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 

• Strong background in math, statistics, computer science, data science or related discipline

• Advanced knowledge one of language: Java, Scala, Python, C# 

• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  

• Proficient with

• Data mining/programming tools (e.g. SAS, SQL, R, Python)

• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)

• Data visualization (e.g. Tableau, Looker, MicroStrategy)

• Comfortable learning about and deploying new technologies and tools. 

• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 

• Good written and oral communication skills and ability to present results to non-technical audiences 

• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus: 

• AWS certification

• Spark Streaming 

• Kafka Streaming / Kafka Connect 

• ELK Stack 

• Cassandra / MongoDB 

• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

●  Should have strong experience in Automation testing, developing and executing test cases. 

● Should have strong experience in Selenium with Java & Cucumber framework.

● Should have a good amount of experience working with Mobile Application testing using Appium 

● Experienced with few of the Automation Testing tools : Selenium, Cucumber, TestNG, SOAP UI/Rest API, Appium. 

● Good knowledge of software testing life cycle :Test planning, Test design and execution, Defect Management, Test Reporting. 

● Hands-on experience on Functional, Regression, System and UAT Testing.

● Good exposure with both Web and Mobile Automation Testing.

● Excellent defect finding, debugging, root cause analysis capabilities. 

·     IMMEDIATE JOINER

Professional Experience with 5+ years in Confluent Kafka Admin

·    Demonstrated experience design / development.

·    Must have proven knowledge and practical application of – Confluent Kafka (Producers/ Consumers / Kafka Connectors / Kafka Stream/ksqlDB/Schema Registry)

·    Experience in performance optimization of consumers, producers.

·    Good experience debugging issues related offset, consumer lag, partitions.

·    Experience with Administrative tasks on Confluent Kafka.

·    Kafka admin experience including but not limited to setup new Kafka cluster, create topics, grant permissions, offset reset, purge data, setup connectors, setup replicator task, troubleshooting issues, Monitor Kafka cluster health and performance, backup and recovery.

·    Experience in implementing security measures for Kafka clusters, including access controls and encryption, to protect sensitive data.

·    Install/Upgrade Kafka cluster techniques.

·    Good experience with writing unit tests using Junit and Mockito

·    Have experience with working in client facing project.

·    Exposure to any cloud environment like AZURE is added advantage.

·    Experience in developing or working on REST Microservices

Experience in Java, Springboot is a plus

• Serve as the primary contact and product expert for new leads as well as existing accounts
• Maintain a high level of consultative, solution-based selling to sell ODIGO
• Showcase ODIGO to customers through online product demos
• Generate New Leads and convert leads to the potential client online
• Perform cold calling to create new leads
• Qualify inbound leads from phone calls and CRM
• Follow up on new leads from social media campaigns and emails
• Understand the business needs of the clients and provide relevant solutions
• Demonstrate the different solutions offered by ODIGO to resolve customer queries and influence them to buy the products
• Facilitate the entire sales process from the initiation of the original call through finalization of account set-up for every customer
• Collaborate with the marketing team to identify new strategies for lead generation through social network
• Research the market for new competitive products introduced and the marketing strategies adopted by competitors

• 2 to 6 years of experience in B2B/Enterprise software inside sales with an emphasis on SaaS product sales
• Proven track record of meeting or exceeding sales targets
• Mandatory experience in inside sales, including lead generation and outbound prospecting
• Passion, drive, and the desire to be a part of a growing team that makes a difference for both the company and its clients
• Working experience in market research and analysis will be an added advantage
• Exceptional in-person, verbal, and written communication skills a must
• Bachelor’s or master’s degree in business or related field