
Merchant Implementation Manager
at Digital, a leading provider of omnichannel payment. (PC1)
- Ensure successful implementation of the new merchant with the goal to increase the number of company Digital ambassadors within the industry.
- Work closely with the merchant and the various CPD teams to guarantee a high-quality project delivery.
- Develop and execute an appropriate implementation plan for on-boarding, testing, and launch
- Configure the Product suite contracted by the merchant.
- Provide training to a select group of the merchant’s staff.
- Document key learning’s and collaborates with Solution and Technical engineers to streamline the integration and onboarding process
- Ensure transition the configured client to the internal Service Desk team and mentor its staff so they can provide full support to the client.
- Analyze and produce statistics and management reports for the leadership team
Education, skills, and experience
- Hands-on experience (1-5 years) and understanding of the eCommerce payment ecosystem and various roles/players (Payment Service Providers, payment schemes, etc.).
- Excellent communication skills whereby fluent English (written and oral) is a must.
- Coordination of end-to-end technical implementation of e-commerce payment products
- Expertise in credit card and international alternative payment solutions
- Expertise in PCI compliance and latest card schemes mandates
- Ability to manage simultaneously multiple projects and client relationships
- Knowledge of Internet and payments API related technologies including JSON, XML, HTML, CSS, and JavaScript
- Strong SQL knowledge
- Former experience in programming tools, including .NET and Java

Similar jobs
Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)
Experience : 5 to 10 Years
Location : Bengaluru, India
Employment Type : Full-Time | Onsite
Role Overview :
We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.
In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.
Mandatory Skills :
Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).
Key Responsibilities :
- Architect, design, and develop scalable full-stack applications for data and AI-driven products.
- Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
- Deploy, integrate, and scale ML/AI models in production environments.
- Drive system design, architecture discussions, and API/interface standards.
- Ensure engineering best practices across code quality, testing, performance, and security.
- Mentor and guide junior developers through reviews and technical decision-making.
- Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
- Monitor, diagnose, and optimize performance issues across the application stack.
- Maintain comprehensive technical documentation for scalability and knowledge-sharing.
Required Skills & Experience :
- Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
- Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
- Full Stack Proficiency :
- Front-end : React / Angular / Vue.js
- Back-end : Node.js / Python / Java
- Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
- AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
- Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
- Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
- Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).
Soft Skills :
- Excellent communication and cross-functional collaboration skills.
- Strong analytical mindset with structured problem-solving ability.
- Self-driven with ownership mentality and adaptability in fast-paced environments.
Preferred Qualifications (Bonus) :
- Experience deploying distributed, large-scale ML or data-driven platforms.
- Understanding of data governance, privacy, and security compliance.
- Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
- Experience working in Agile environments (Scrum/Kanban).
- Active open-source contributions or a strong GitHub technical portfolio.
Position Overview: The Lead Software Architect - Python & Data Engineering is a senior technical leadership role responsible for designing and owning end-to-end architecture for data-intensive, AI/ML, and analytics platforms, while mentoring developers and ensuring technical excellence across the organization.
Key Responsibilities:
- Design end-to-end software architecture for data-intensive applications, AI/ML pipelines, and analytics platforms
- Evaluate trade-offs between competing technical approaches
- Define data models, API approach, and integration patterns across systems
- Create technical specifications and architecture documentation
- Lead by example through production-grade Python code and mentor developers on engineering fundamentals
- Conduct design and code reviews focused on architectural soundness
- Establish engineering standards, coding practices, and design patterns for the team
- Translate business requirements into technical architecture
- Collaborate with data scientists, analysts, and other teams to design integrated solutions
- Whiteboard and defend system design and architectural choices
- Take responsibility for system performance, reliability, and maintainability
- Identify and resolve architectural bottlenecks proactively
Required Skills:
- 8+ years of experience in software architecture and development
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Strong foundations in data structures, algorithms, and computational complexity
- Experience in system design for scale, including caching strategies, load balancing, and asynchronous processing
- 6+ years of Python development experience
- Deep knowledge of Django, Flask, or FastAPI
- Expert understanding of Python internals including GIL and memory management
- Experience with RESTful API design and event-driven architectures (Kafka, RabbitMQ)
- Proficiency in data processing frameworks such as Pandas, Apache Spark, and Airflow
- Strong SQL optimization and database design experience (PostgreSQL, MySQL, MongoDB) Experience with AWS, GCP, or Azure cloud platforms
- Knowledge of containerization (Docker) and orchestration (Kubernetes)
- Hands-on experience designing CI/CD pipelines Preferred (Bonus)
Skills:
- Experience deploying ML models to production (MLOps, model serving, monitoring) Understanding of ML system design including feature stores and model versioning
- Familiarity with ML frameworks such as scikit-learn, TensorFlow, and PyTorch
- Open-source contributions or technical blogging demonstrating architectural depth
- Experience with modern front-end frameworks for full-stack perspective
We are seeking a dynamic Enterprise Sales Executive to drive business growth in Convergence Active Components and Enterprise Applications. The role involves marketing and selling cutting-edge networking, communication, and security solutions to enterprise clients, identifying business opportunities, and building long-term customer relationships.
Product Portfolio Includes:
- Networking: Core, Edge, and Distribution Switches, Wi-Fi
- Applications: Unified Communication & Collaboration, Network Management & Optimization (NMS)
- Voice: IP PBX
- Security: IP Surveillance
- Video: Video Conferencing / Telepresence
- Storage Solutions
Key Responsibilities
- Identify, engage, and develop enterprise accounts in assigned regions.
- Generate leads through market research, networking, and direct sales calls.
- Understand customer requirements, uncover business pain points, and propose tailored solutions.
- Conduct product presentations and demonstrations for clients.
- Handle negotiation, order closure, and payment follow-ups.
- Manage and grow customer relationships to ensure repeat business.
- Collaborate with internal teams for seamless project delivery.
- Travel extensively to meet clients and explore market opportunities.
Candidate Requirements
- Education: B.Sc / BE / B.Tech / M.Sc / MBA (Preferred in relevant disciplines)
- Experience: 3–5 years in Enterprise Telecom / Networking Sales, handling products like Routers, Switches, IP Telephony, Security, and Collaboration tools.
- Industry Exposure: Experience with OEMs like Cisco, HP, Juniper or System Integrators such as Avaya, Wipro Infotech, NEC, Dimension Data, HCL Infosystems, Intellicon, etc.
- Skills & Attributes:
- Strong sales acumen with a proven track record of achieving targets.
- Excellent communication and presentation skills.
- Ability to work independently and manage large accounts.
- Computer literacy and CRM proficiency.
- Self-motivated, positive attitude, and a team player.
- Willingness to travel extensively.
Why Join Us?
- Opportunity to work with high-value enterprise networking and communication solutions.
- Exposure to leading global brands in the IT and Telecom space.
- Growth-oriented role with performance-driven rewards.
Qualifications & Experience:
▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design
▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.
▪ Expert in SQL, worked on advanced SQL for at least 2+ years
▪ Good development skills in Java, Python or other languages
▪ Experience with EMR, S3
▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview
▪ Comfortable working in an agile environment
Primary Skills:
Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS
Additional Skills Required:
- Should have experience working with Jenkins, Git, Gerrit
- Should have Good understanding of AWS Security and execution.
- Should have Good python skills
- Should have experience of working with GIT, Gerrit, Jira, Confluence,
- Exposure to messaging systems Rabbit MQ
- Exposure to Html, Groovy, Javascript, shell scripting
- Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
- Exposure to Android skills.
- Should have experience in working with cloud-native architecture.
- Experience with log stash and elastic search
- Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
- May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
- Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
- Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
- Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation
Key Responsibilities:
- Perform a Technical Lead role for DevOPs development and support teams.
- Need to communicate & coordinate with both offshore and onsite teams
- Should translate business requirements into project plans and workable item/activities
- Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
- Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
- Understand the current applications and technical architecture and improvise them as needed.
- Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc
- 1 to 3 years experience in copy writing,
- excellent communication
- Portfolio is mandatory
- linked in mandatory
We have a urgent requirement for the post of IBM MDM (AE) profile
Notice period - should b e 15-30 days
- Bachelors degree in Software Engineering, Computer Science, Information Technology or related
- Previous work experience as a Manual Testing in OTT Platform - MUST
- Complete understanding of STB, Set up box (MUST)
- Understanding of testing protocols
- Good analytical and troubleshooting skills
- Attention to detail
- Strong communication skills









