Associate, Tech Quality Assurance Bengaluru, Karnataka, India Technology GALE helps brands solve complex challenges through our integrated consultancy and agency offering. Headquartered in New York with offices in Toronto, Singapore and Bangalore, our teams are connected by a set of core values that inform everything we do, from how we hire to how we work together: values like Everyone Matters, No Silos, and Masters of Our Craft. If you re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you. About the role: We are looking for Associate, Tech Quality Assurance to join our rapidly growing team in Bangalore, India. We are looking for good experience in manual/automation testing with Selenium using java. What you will do: Work directly with the product, design and development teams to create and execute new test cases for new products and applications as they are developed Run regression tests and test cases for products after assessing impact areas. Log clear and self-explanatory bug reports in our bug tracking system and then work directly with development to follow-up those bugs till resolution. Take part in daily project meetings and provide feedback to the project team regarding the QA status. Who you are: Minimum 2 years QA experience in web application development environment Basic manual testing knowledge and understanding of defect management and lifecycle. Knowledge / High level understanding of database complimenting with PL-SQL queries. In-depth automation testing Knowledge/ experience Working knowledge on multiple automation frameworks including keyword, data driven & hybrid. Good Knowledge on any of the open source frameworks including POM, Cucumber, TestNG or J-Unit Experienced in Selenium with Java or Python In-depth skills in working with locators, DOM elements etc. Good Relationship building skills that enables seamless collaboration with product, design and development teams. Ability to adapt to the ever-changing technology landscape and should be excited about constantly keeping themselves up-to-date by experimenting with new technologies. Demonstrable self-learning ability and excellent communication skills.

Team Lead, DevOps Bengaluru, Karnataka, India Technology DESCRIPTION GALE helps brands solve complex challenges through our integrated consultancy and agency offering. Headquartered in New York with offices in Toronto, Singapore and Bangalore, our teams are connected by a set of core values that inform everything we do, from how we hire to how we work together: values like Everyone Matters, No Silos, and Masters of Our Craft. If you re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you About the Role: We are seeking a dynamic and experienced Team Lead, DevOps to join our Bangalore team. In this role, you will lead our DevOps efforts, collaborating closely with software engineers to ensure the efficient deployment and operation of our systems across diverse environments. Your primary focus will be on automating and streamlining our processes, while also staying updated on industry best practices. If you have a passion for cloud management, Linux administration, scripting, and the ability to adapt to a rapidly evolving technology landscape, we want to hear from you. Key Responsibilities: AWS Infrastructure Management: Provision and manage EC2 instances with various OS flavors within Virtual Private Cloud (VPC).Configure and maintain AWS components, including load balancers, Redshift, RDS, CloudFront, and firewalls while enforcing identity-based policies (IAM). Application Stack Setup: Establish application stacks comprising middleware, databases, and web servers on various OS platforms. Build and Release Automation: Develop and provision build and release scripts to automate the promotion process using build/CI tools.Manage delivery pipelines, including tests and code scanning, and oversee the code promotion through different stages of software development. DevOps Best Practices: Stay updated with industry best practices for DevOps and implement necessary tools to automate processes efficiently. Requirements: Minimum of 6+ years of hands-on experience in production environments. Proficiency in Linux administration, including Ubuntu, CentOS, or Red Hat Enterprise Linux (RHEL). Strong experience with AWS cloud components such as EC2, S3, RDS, SES, IAM, and VPC. Proficiency in supporting database environments, including PostgreSQL, MySQL, and NoSQL databases like MongoDB. Familiarity with Docker, Kubernetes, or OpenShift orchestration is a plus. Strong scripting skills in languages such as Bash, Python, or Perl. Expertise in automating system cloud deployment tasks using scripts. Experience with continuous integration tools such as Jenkins, Travis, or TeamCity. Thorough knowledge of web servers like Apache and NGINX. Development proficiency in Python and experience with Ansible scripting automation or Terraform scripting automation. Familiarity with configuration management tools like Ansible, Chef, or Puppet is advantageous. Ability to adapt to a fast-changing technology landscape and enthusiasm for experimenting with new technologies. Why Join Us: Opportunity to lead and shape the DevOps practice within a dynamic organization. Collaborative work environment with a focus on innovation. Continuous learning and development opportunities. Competitive compensation package and benefits

GALE helps brands solve complex challenges through our integrated consultancy and agency offering. Headquartered in New York with offices in Toronto, Singapore and Bangalore, our teams are connected by a set of core values that inform everything we do, from how we hire to how we work together: values like Everyone Matters, No Silos, and Masters of Our Craft.If youre driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you. Experience Required: 6 – 8 years Job Summary:We are seeking a highly skilled and experienced Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, experience in implementing Generative AI (GenAI) solutions, and expertise in media and marketing analytics. This role requires a blend of analytical, technical, and problem-solving skills to drive data-driven decision-making and innovative solutions. Experience Required: 6 – 8 yearsKey Responsibilities:Machine Learning & AI ImplementationDevelop and deploy machine learning models to address business challenges.Design, implement, and evaluate GenAI models to optimize workflows and generate actionable insights.Media & Marketing AnalyticsAnalyze and interpret marketing performance data to identify trends, opportunities, and areas for improvement.Build attribution models, campaign analysis, and customer segmentation strategies.Data Analysis & VisualizationCreate insightful dashboards and visualizations using tools like Tableau, Power BI, or similar.Present data-driven insights to technical and non-technical stakeholders.Data Processing & ManagementWork with large datasets to preprocess, clean, and transform data for analysis.Write optimized SQL queries to extract and manipulate data from databases.Collaboration & Stakeholder ManagementCollaborate with cross-functional teams, including marketing, product, and engineering, to drive data-centric decision-making.Communicate technical solutions effectively to non-technical stakeholders.Mandatory Skills:Proficiency in Python for data analysis, machine learning, and model deployment.Strong understanding of Machine Learning algorithms and frameworks.Experience with Generative AI (GenAI) implementation and tools.Hands-on expertise in media/marketing analytics (e.g., campaign performance, attribution modeling).Proficiency in one or more data visualization tools (e.g., Tableau, Power BI, Looker).Working knowledge of SQL for data extraction and manipulation.Familiarity with cloud platforms like AWS, Azure, or GCP. Preferred Skills:Knowledge of A/B testing, marketing mix modeling, and customer segmentation techniques.Understanding of NLP and large language models. Educational Qualifications:Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.