11+ BSS Jobs in Delhi, NCR and Gurgaon | BSS Job openings in Delhi, NCR and Gurgaon

Location: Bengaluru or Gurgaon

Salary: Market rate

We need immediate Joiners

 1.1             Designation

Engineer, Sr Engineer, Lead and Staff
1.2             Role

Responsible for the software architecture, design, development, testing and documentation for projects. Develop a good understanding of requirements, translate to user stories and tasks, develop the requirements, unit and integration testing and ensuring product quality as per internal and customer’s quality requirements

   Responsibilities and Key Result Areas

Primarily responsible for the following:

• Responsible for defining, designing, and implementing common cloud  based EMS for Radisys network elements.
• Expected to create innovative solutions in conjunction system architects.
• Key technology themes include cloudification and virtualization knowledge, understanding of building the common platform systems for porting applications.
• Experienced all phases of product life cycle including requirements, design, coding, and testing
• Exposure to software/system Architecture principles and ability to work as part of a team to solve complex technical problems
• Experience in good implementation practices including good design documentation, code reviews, build processes, test automation and debugging skills.
• Knowledge on source control management and system operations. Knowledge on Modeling using higher level design tools is desirable
• Experienced of working in agile scrum teams and understanding of the process to convert the EPICs to user stories and tasks.     
• Skill Sets:    

• Development experience in embedded systems, Linux, and real-time OS environments.
• Experience in virtualization and containerization of Carrier network functions using tools like –

Openstack, Kubernetes, HELM charts, Open source Message bus, opensource DB like - Mongo, Redis etc.

• Experience in design and implementation of CNFs using Microservices architecture
• Must have worked in the design and development of Telecom EMS/NMS with RAN/FTTH solution is a must.
• Experience with OSS/BSS Integration and deployment in production system
• Hands-on experience in large scale design for EMS and NMS for service based applications, OSS and BSS
• Must have worked in building EMS System Architecture, designs, specifications for service provisioning, OAM and configuration, FCAPS functionality, provisioning and configuration of network elements
• Experience with developing Mirco-services in a container, orchestration, CI/CD based environment
• Experience on any one of the scripting language - Python, Perl, TCL, shell scripting
• Knowledge of a Cloud and software automation tools/framework (chef, puppet, ansible, PowerShell etc)
• Experience in protocols (SNMP/MIB, NETCONF/YANG, SFTP, Syslog, REST/RESTCONF, OF-CONFIG, SOAP)
• Understanding of Network Security protocols like IPSEC
• Understanding of IPv4 / IPv6
• Good programming skills  (Java, Spring Boot, GoLang, REST, Hibernate, OSGi, JPA, Ansible playbooks, Perl and Shell scripts)
•  
• Soft Skills
• Good communication skills (written, verbal, presentation and listening)
• Good mentoring skills
• Good demonstration skills and customer interaction
• Active team player & excellent interpersonal interactions skills in a team work environment
• Must have ability to drive and demand result from team, resolve technical conflicts
• Ability to front end big customers / operators with technical and business acumen desirable

• 5 o 12 years of industry experience in EMS and cloud technologies
• Graduate/Post graduate in Computer Science / Electronics Engineering in the relevant field

Required Skills: Customer Segmentation & Personalization, CRM & Lifecycle Marketing, Data Analysis & KPI Reporting, A/B Testing & Experimentation, Funnel & Journey Optimization

Criteria:

- Candidate should have Experience: 4–6 years in CRM & Lifecycle Marketing for digital-first/app-based platforms.

- Preferred Industry Exposure: Gaming / OTT / E-commerce

- Proven ability to own end-to-end lifecycle metrics such as activation, retention, churn reduction, or reactivation

- Strong hands-on experience with CRM automation platforms such as Clevertap, MoEngage, Braze, or WebEngage

- Expertise in user segmentation, cohort creation, and personalized targeting based on behavioral and transactional data

- Experience in managing cross-channel campaigns (Push, WhatsApp, SMS, Email, RCS, In-app) with a focus on ROI and spend optimization

- Proficient in data analysis, funnel tracking, KPI reporting, and deriving insights (DAU, WAU, retention %, churn, watch conversion)

- Hands-on experience with A/B testing, experiments, holdout groups, and iterative optimization

- Strong understanding of journey mapping and funnel optimization, with the ability to identify drop-offs and improve user progression

- Candidates must have a 70% strategy + 30% execution mindset, ideally from reputable consumer brands.

Description

We are looking for a CRM & Lifecycle Marketing Manager to own and drive key user lifecycle metrics at company. The ideal candidate is data-driven, detail-oriented, and experienced in executing CRM campaigns and automation journeys that drive activation, retention, and engagement.

This is a high-impact, ownership-driven role where you’ll be responsible for defining, executing, and optimizing end-to-end CRM strategies using platforms like Clevertap, MoEngage, or WebEngage.

Key Responsibilities:

1. End-to-end metric ownership Be fully accountable for a defined lifecycle KPI (e.g., activation, D7 retention, churn rate) — set targets, build roadmap, deliver improvements and own outcomes.

2. Campaign setup & CRM operations (Clevertap / Braze / etc.) Build, configure, QA and execute campaigns and automated journeys in the CRM platform (Clevertap or equivalent) — audience selection, triggers, scheduling, tagging, and delivery monitoring.

3. Segmentation & personalization Define behavioural and transactional cohorts, implement dynamic personalization rules, and maintain audience hygiene to ensure relevance and lift.

4. Experimentation & optimization Design and run A/B and holdout experiments, analyse uplift, and iterate on messaging, timing and frequency to maximize impact.

5. Analysis, reporting & cross-functional alignment Track and interpret campaign and funnel metrics, maintain dashboards, produce concise insights and recommendations, and coordinate with Product, Data and CX for dependencies and fixes.

Key Expected Outcomes:

1. Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.

2. High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.

3. Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.

4. Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.

5. Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.

Requirements:

● End-to-end Lifecycle Ownership – ability to plan, execute, and measure campaigns for a defi ned metric or stage (e.g., activation, retention).

● CRM Automation Expertise – hands-on execution using tools like Clevertap ,MoEngage, WebEngage

● User Segmentation & Targeting – defi ning cohorts based on behaviour, subscription status, and engagement data.

● Cross-channel Campaign Management – executing communication via push, WhatsApp, SMS, RCS, email, and in-app along with Spends optimization

● Data Analysis & Reporting – tracking key KPIs and metrics (eg. DAU, WAU, retention %, watch conversion, churn) and deriving insights along with RCA

● A/B Testing & Experimentation – Continuously ideating, setting up and evaluating experiments to improve conversion and retention.

● Journey & Funnel Optimization – identifying drop-offs and improving user progression through lifecycle stages.

● Copy & Creative Collaboration – working with content/design teams to ensure messaging relevance and clarity.

● Stakeholder Collaboration – aligning with product, CX, Content and data teams for execution dependencies.

● Ownership Mindset – accountable for end outcomes and continuously optimizing performance of the assigned metric.

What will be the success metric for this role?

● Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.

● High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.

● Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.

● Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.

● Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.

There are various job roles within software development, each with its own focus and responsibilities. Some common job roles include:

1. **Software Engineer/Developer**: This role involves designing, developing, and testing software applications or systems.

2. **Front-end Developer**: Front-end developers focus on creating the user interface and experience of websites or applications using languages like HTML, CSS, and JavaScript.

3. **Back-end Developer**: Back-end developers work on the server-side of applications, managing databases, servers, and application logic using languages like Python, Java, or Node.js.

4. **Full-stack Developer**: Full-stack developers have expertise in both front-end and back-end development, allowing them to work on all aspects of an application.

5. **Mobile App Developer**: Mobile app developers specialize in creating applications for mobile devices, often using platforms like iOS (Swift) or Android (Java/Kotlin).

6. **DevOps Engineer**: DevOps engineers focus on streamlining the development process by automating tasks, managing infrastructure, and ensuring smooth deployment and operation of software.

7. **Quality Assurance (QA) Engineer**: QA engineers are responsible for testing software to ensure it meets quality standards and is free of bugs or errors.

8. **UI/UX Designer**: UI/UX designers work on designing the user interface and experience of software applications, focusing on usability and aesthetics.

About the Company:

ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.

About the role: 

At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.

Responsibilities:

• Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
• Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
• Mentor and lead the experiments with other team members.
• Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
• 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
• Hands-on experience of ML model development and deploying.
• Experience working with training and fine-tuning LLM is a plus.
• Experience in audio/speech technologies is a plus.
• Strong programming skills in Python, node.js or other relevant programming languages.
• Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
• Strong analytical and problem-solving skills, with the ability to think out of the box.
• Self-starter with the ability to work independently and in a team environment.

DESIRED SKILLS:

1. Android Development
2. Java / Kotlin
3. Javascript
4. UI / UX
5. Prototyping and Wireframing
6. Graphics and whiteboard application
7. Video-streaming and camera handling on Android