Job Summary: We’re looking for a seasoned Automation Engineer with 7+ years of experience in automation, scripting, and cloud-based systems. The ideal candidate will have strong proficiency in Python , AWS , and CI/CD automation, with exposure to Spring Boot applications. Responsibilities: Develop and maintain automation scripts using Python and PyTest for deployment, testing, and monitoring. Automate infrastructure and application deployments on AWS using Terraform or CloudFormation. Build and manage CI/CD pipelines using GitLab CI . Collaborate with developers to automate testing and deployment of Spring Boot microservices. Monitor and troubleshoot cloud environments (CloudWatch, CloudTrail). Requirements: 7+ years in automation, DevOps, or cloud engineering. Strong Python scripting and experience with PyTest . Hands-on experience with AWS (EC2, Lambda, S3, IAM, etc.). Proficiency with GitLab , Git, and CI/CD pipelines. Experience with Spring Boot applications in deployment/testing contexts. Familiarity with Docker , Kubernetes (EKS), and Infrastructure as Code (Terraform/CloudFormation). Preferred: AWS certification (DevOps/Solutions Architect). Experience in Agile/Scrum environments. Show more Show less

About the Role: We are looking for a Senior Automation Engineer with strong experience in Python , Pytest , TestNG , GitLab CI/CD , and AWS . You will be responsible for building robust test frameworks, integrating automation into CI/CD pipelines, and ensuring high product quality in a cloud-native environment. Responsibilities: Develop and maintain automated test suites using Python, Pytest, TestNG Integrate automation with GitLab pipelines for CI/CD Test backend APIs and cloud-based services on AWS Collaborate with QA, DevOps, and development teams Troubleshoot test failures and ensure high test coverage Required Skills: 7+ years in test automation Proficient in Python , Pytest , TestNG Experience with GitLab CI/CD Good knowledge of AWS services (EC2, S3, Lambda, etc.) Strong API testing and debugging skills Nice to Have: Docker/Kubernetes familiarity Performance testing tools (JMeter, Locust) AWS certification Show more Show less

Role: AWS Data Engineer Experience: 12+ years JD for AWS (DE) Experience in EMR Knowledge of Python Programing language Knowledge of Data Processing using Pandas Library Extensive knowledge of processing csv, excel, json, yaml files using python Good knowledge of Big data technologies : Pyspark, Hadoop, Hive Knowledge of AWS services: S3, Lambda, Redshift, Glue Hands on experience on Apache Airflow for building workflows Knowledge of building ETL and Data pipelines Show more Show less

Snowflake Developer (Overall 7-9 years) 3–4 years of hands-on experience in Snowflake data warehouse development Performance tuning, and database process optimization. Snowflake certified with a solid understanding of security, roles, warehouses, and best practices. Certification is required Strong knowledge of ELT/ETL tools with practical exposure to Alteryx for data preparation and transformation. Show more Show less

Snowflake Developer (Overall 7-9 years) 3–4 years of hands-on experience in Snowflake data warehouse development Performance tuning, and database process optimization. Snowflake certified with a solid understanding of security, roles, warehouses, and best practices. Certification is required Strong knowledge of ELT/ETL tools with practical exposure to Alteryx for data preparation and transformation. Show more Show less

Core data engineering tools and frameworks like Azure, Snowflake, DBT, Python, SQL, Git Solid data modelling and data management fundamentals at all levels to drive the ETL development lifecycle at all layers (conceptual, logical, physical) Git versioning practices for CI/CD DevOps alignment The ability to operate independently, take ownership, and provide mentorship within the team Show more Show less

Salesforce Marketing Cloud and Pardot Architect We are seeking a highly skilled Salesforce Marketing Cloud and Pardot Architect to lead the migration from Pardot (Marketing Cloud Account Engagement) to Salesforce Marketing Cloud (SFMC). The ideal candidate will have deep expertise in Marketing Cloud, Pardot, data architecture, integration strategies, and automation. This role requires a strategic thinker who can design scalable solutions while ensuring seamless data migration, process optimization, and business continuity. Key Responsibilities: Lead the end-to-end migration from Pardot to Salesforce Marketing Cloud, including data migration, campaign transition, and automation redesign. Assess current Pardot configurations and identify gaps, dependencies, and improvements for the new SFMC architecture. Define data models and mapping strategies for customer journeys, segmentation, and engagement tracking. Develop and optimize email, SMS, and push notification campaigns using SFMC Journey Builder, Automation Studio, and Contact Builder. Ensure seamless integration between Salesforce CRM and SFMC, leveraging APIs, Marketing Cloud Connect, and Data Cloud where applicable. Design scalable automation workflows to enhance marketing efficiency and improve customer experience. Implement robust data governance, compliance, and security best practices in accordance with GDPR, CCPA, and other relevant regulations. Work closely with stakeholders (marketing, sales, IT) to ensure business requirements are met and adoption is smooth. Train internal teams and provide documentation on SFMC best practices, campaign execution, and reporting. Monitor and optimize marketing performance using Datorama, Analytics Builder, and custom dashboards. Required Skills & Qualifications: 9+ years of experience in Marketing Automation, CRM, and Salesforce ecosystem. Proven expertise in Salesforce Marketing Cloud (SFMC) and Pardot (Marketing Cloud Account Engagement). Strong experience in migration projects, particularly moving from Pardot to SFMC. Hands-on proficiency in SFMC modules: Email Studio, Journey Builder, Automation Studio, Contact Builder, Mobile Studio, and Advertising Studio. Expertise in API integrations, SQL, SSJS, and AMP script for dynamic content and automation. Experience with Marketing Cloud Connect, Data Cloud, and Salesforce CRM integration. Solid knowledge of customer segmentation, personalization, and lead nurturing strategies Strong analytical skills with experience in campaign performance tracking and optimization. Salesforce certifications such as Marketing Cloud Consultant, Pardot Specialist, or Data Cloud Certification are a plus. Preferred Qualifications: Experience in multi-cloud solutions, integrating SFMC with Service Cloud, Commerce Cloud, or Data Cloud. Familiarity with third-party integrations, CDPs, or advanced data modelling. Prior experience in B2B and B2C marketing strategies using Salesforce platforms.

Job Title: ServiceNow Architect We are seeking an experienced and strategic ServiceNow Architect to lead the design and governance of our ServiceNow platform, with a primary focus on IT Service Management (ITSM) and Hardware/Software Asset Management (HAM/SAM). The ideal candidate will have a strong background in financial services, with deep knowledge of regulatory, compliance, and operational requirements unique to the industry. As a ServiceNow Architect, you will be responsible for translating business objectives into scalable, compliant, and efficient ServiceNow solutions across the ITSM and Asset Management domains, driving platform strategy, design standards, and delivery excellence. Key Responsibilities: Own the architecture and solution design for ServiceNow ITSM, HAM, and SAM modules, ensuring alignment with business goals and financial industry standards. Define and enforce platform governance, architecture principles, and integration patterns. Provide architectural oversight for all ServiceNow development, ensuring scalable and maintainable design. Partner with cross-functional teams to identify opportunities for automation, optimization, and improved service delivery. Lead the platform roadmap and upgrade planning, ensuring minimal business impact and high platform stability. Collaborate with security and compliance teams to ensure alignment with data protection, audit, and regulatory requirements (e.g., SOX, PCI, GDPR). Evaluate and design integrations with third-party systems, CMDB sources, discovery tools, and financial asset tracking systems. Act as the subject matter expert (SME) for ServiceNow architecture, mentoring development teams and reviewing code/configuration. Monitor new releases from ServiceNow and recommend relevant new features or modules to stakeholders. Lead architectural reviews, POCs, and performance assessments to ensure high availability and optimized system design. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 8+ years of ServiceNow experience, including 3+ years in a ServiceNow architect or lead developer role. Deep expertise in ITSM, HAM, and SAM module design, configuration, and deployment. Strong industry experience in financial services, with understanding of operational risk, compliance, and governance. Hands-on experience with ServiceNow scripting (JavaScript, Glide API), Flow Designer, IntegrationHub, and REST/SOAP APIs. Extensive knowledge of CMDB design, discovery processes, and asset lifecycle governance. Experience with enterprise architecture frameworks (e.g., TOGAF, ITIL v4). Strong interpersonal and stakeholder management skills, including executive-level communication. Solid understanding of Agile, DevOps, CI/CD pipelines, and platform performance optimization. Preferred Certifications: ServiceNow Certified System Administrator (CSA) – Required ServiceNow Certified Implementation Specialist in ITSM and HAM/SAM – Highly Preferred Certified Application Developer (CAD) TOGAF, ITIL v4, or similar enterprise architecture/IT service management certifications

Lead Data Engineer (Remote for India only) Strong hands-on expertise in SQL, DBT and Python for data processing and transformation. Expertise in Azure data services (e.g., Azure Data Factory, Synapse, Event Hub) and orchestration tools. Strong experience with Snowflake – including schema design, performance tuning, and security model. Good understanding of DBT for transformation layer and modular pipeline design. Hands-on with Git and version control practices – branching, pull requests, code reviews. Understanding of DevOps/DataOps principles – CI/CD for data pipelines, testing, monitoring. Knowledge of data modeling techniques – Star schema, Data Vault, Normalization/Denormalization. Experience with real-time data processing architectures is a strong plus. Proven leadership experience – should be able to mentor team members, take ownership, make design decisions independently. Strong sense of ownership, accountability, and solution-oriented mindset. Ability to handle ambiguity and work independently with minimal supervision. Clear and confident communication (written and verbal) – must be able to represent design and architecture decisions. Lead the design and development of data pipelines (batch and real-time) using modern cloud-native technologies (Azure, Snowflake, DBT, Python). Translate business and data requirements into scalable data integration designs. Guide and review development work across data engineering team members (onshore and offshore). Define and enforce best practices for coding, testing, version control, CI/CD, data quality, and pipeline monitoring. Collaborate with data analysts, architects, and business stakeholders to ensure data solutions are aligned with business goals. Own and drive end-to-end data engineering workstreams – from design to production deployment and support. Provide architectural and technical guidance on platform setup, performance tuning, cost optimization, and data security. Drive data engineering standards and reusable patterns across projects to ensure scalability, maintainability, and reusability of code and data assets. Define and oversee data quality frameworks to proactively detect, report, and resolve data issues across ingestion, transformation, and consumption layers. Act as a technical go-to team member for complex design, performance, or integration issues across multiple teams and tools (e.g., DBT + Snowflake + Azure pipelines). Contribute to hand on development as well for the ned to end integration pipelines and workflows. Document using Excel, Word, or tools like Confluence.

Job Title: Senior QA Automation Engineer (Selenium + Java) Location: Remote Experience: 8+ Years | Type: Full-time Job Overview: We are looking for an experienced QA Automation Engineer with strong skills in Selenium and Java to design, build, and maintain test automation frameworks and drive quality in our agile development process. Key Responsibilities: Develop and maintain automated test scripts using Selenium WebDriver + Java Create test frameworks using TestNG/JUnit, Maven/Gradle Collaborate with developers, QA, and product teams Perform functional, regression, UI, and API testing Integrate automation into CI/CD pipelines (e.g., Jenkins, GitHub Actions) Requirements: 8+ years in QA Automation with strong Java + Selenium experience Hands-on with TestNG, Maven/Gradle, Git, REST API testing Familiar with CI/CD tools, BDD (e.g., Cucumber) a plus Good communication and leadership skills Nice to Have: Experience with JMeter, Docker, cloud testing tools (e.g., BrowserStack) ISTQB certification