
- Project Business Analyst
- Incumbent should have knoledge of CPaaS
- Should be ready to work in telecom sector
- CPaaS , Position 1, Experience 1year to 3 year , Pay Scale 5 Lacs to 5.5 Lacs (for 3Years Exp.) 3.5 to 4 Lacs (for 1 year to 2 year exp),
- location- Mumbai

About globe teleservices
About
Similar jobs
Job Title: Senior Software Engineer (P3)
Experience: 5–8 Years
Location: Pune / Chennai / Kolkata / Bhubaneswar
Compensation: Up to 24 LPA
Job Description:
We are looking for a skilled Software Engineer with strong backend development experience in Java and Spring Boot. The candidate will be responsible for building scalable microservices and REST APIs while working in a collaborative agile environment.
Key Responsibilities:
- Develop and maintain backend services using Java & Spring Boot
- Build and consume REST APIs
- Work on microservices architecture
- Implement event-driven systems using Kafka
- Handle database operations using JPA/Hibernate
- Collaborate with frontend teams (Angular)
- Ensure code quality, performance, and scalability
- Participate in code reviews and debugging
Required Skills:
- Strong knowledge of Java & Spring Boot
- Experience with Microservices
- Hands-on experience with REST APIs
- Familiarity with Kafka
- Knowledge of JPA/Hibernate
- Basic exposure to Angular
- Understanding of AI tools / Prompt Engineering (nice to have)
Education:
- BE / B.Tech
Notice Period:
- Immediate to May joiners preferred
Machine Learning Engineer / AI Engineer
2 to 10 Years Experience
What if your models didn't just forecast demand — they autonomously acted on it?
We're building the next generation of supply chain intelligence, where AI agents don't just predict — they reason, decide, and adapt. If you're the kind of engineer who gets excited about turning a forecast into an autonomous decision engine, this role is for you.
Be Part of Something Bigger
At our core, we own the challenge and drive the future — taking full responsibility for delivering smart, sustainable solutions that optimize supply chains. We believe knowledge fuels confidence, fostering continuous learning, innovation, and expertise to push boundaries with clarity and purpose.
With a commitment to opportunities for all and growth for everyone, we create pathways for success, empowering individuals to thrive. Our strength lies in being stronger, smarter, together — harnessing diverse perspectives and collaboration to drive bold ideas. Above all, we focus on impact that matters and results that last, building intelligent, sustainable solutions that create long-term value for businesses and the world.
What You'll Build
You'll architect intelligent systems that sense demand shifts in real time and recommend actions before a human even asks. Specifically, you will work across:
• Agentic AI pipelines that go beyond prediction — systems that reason, decide, and adapt autonomously
• Advanced demand forecasting and sensing models using attribute-based and cohort-based approaches
• Signal integration frameworks that fuse external data and real-time market inputs
• Feature engineering at scale — lag structures, rolling aggregations, and derived features
• Model performance frameworks tied directly to measurable business outcomes
• Translating complex model insights into clear, actionable language for clients and leadership
Who You Are
You bring a strong foundation in machine learning and a genuine curiosity about where AI is heading. The ideal candidate has:
• 2–10 years of hands-on experience in ML, AI, or Data Science with proven model-building track record
• Python fluency — pandas, scikit-learn, XGBoost, LightGBM are second nature to you
• Deep understanding of time series forecasting and experience with large-scale transactional datasets
• Ability to connect model outputs to real business impact and articulate the 'so what' clearly
• Genuine curiosity about the power of AI and openness to emerging tools and paradigms — including agentic and generative AI
Bonus Points
• Experience in retail, supply chain, or inventory planning domains
• Exposure to hierarchical forecasting, new product forecasting, or ensemble methods
• Hands-on work with LLM-based agents or orchestration frameworks
Why This Role Is Different
Your models won't sit in a notebook — they'll drive decisions for real companies managing real inventory and real revenue.
• Work at the cutting edge of agentic AI in supply chain, a space being reinvented right now
• See your models directly influence supply chain decisions for enterprise brands, retailers, and grocers
• Collaborate with a team of domain experts, data scientists, and product leaders who obsess over outcomes
• Invest your curiosity in shaping how AI transforms an entire industry from the ground up
Key Performance Indicators
• Model accuracy, reliability, and real-world forecast performance
• Speed and quality of model deployment to production pipelines
• Business impact of AI-driven recommendations — measured in inventory efficiency and revenue outcomes
• Cross-functional collaboration effectiveness with product, engineering, and client teams
Design, develop, and maintain high-quality software solutions using programming
languages such as Java.
Implement backend services using frameworks like Spring Boot and frontend
interfaces using frameworks like React.
Apply deep knowledge of algorithms and data structures to solve complex problems
efficiently.
Optimize code for performance, scalability, and reliability.
Work with SQL and NoSQL databases to design, implement, and manage data storage
solutions.
Ensure data integrity and optimize database queries.
Leverage open-source tools and frameworks to develop scalable and maintainable
solutions.
Stay updated on the latest trends in open-source technologies.
Utilize Linux systems for development and deployment.
Automate and streamline processes using Linux tools and scripts.
Develop and maintain mobile applications that align with user requirements and
business goals.
Collaborate with cross-functional teams to ensure seamless integration with backend
systems.
Work closely with product managers, designers, and other engineers to bring ideas to
life.
Participate in code reviews, testing, and debugging to ensure high-quality
deliverables.
EXCITED ABOUT YOUR TASKS?
- Manage end-to-end service delivery for multiple clients, ensuring quality, efficiency, and adherence to SLAs.
- Act as the single point of contact for client communication related to service delivery performance and improvements.
- Monitor service performance metrics and initiate corrective and preventive actions to address service issues.
- Drive continual service improvement initiatives and process optimizations.
- Collaborate with cross-functional teams, including project managers, technical teams, and support staff.
- Ensure smooth onboarding and transition of new projects and services.
- Conduct regular service reviews with internal stakeholders and clients.
- Handle escalations effectively and ensure timely resolution.
- Maintain and enhance client satisfaction by fostering strong relationships and ensuring proactive communication.
- Prepare and present reports on service performance, risk mitigation, and improvements.
WHAT WILL YOU NEED TO SUCCEED?
- MBA in Marketing/management or a related field.
- Minimum of 5 years of experience in IT service delivery or customer success roles in a service-based environment.
- Excellent problem-solving, stakeholder management, and communication skills.
- Experience managing service teams and delivering services across various technologies or domains.
- Ability to manage multiple projects and clients simultaneously.
- Proven track record of improving client satisfaction and operational efficiency.
- Familiarity with CRM tools and customer success platforms is a plus.
- Ability to think critically and address client concerns efficiently.
We're seeking an experienced Engineer to join our engineering team, handling massive-scale data processing and analytics infrastructure that supports over 1B daily events, 3M+ DAU, and 50k+ hours of content. The ideal candidate will bridge the gap between raw data collection and actionable insights, while supporting our ML initiatives.
Key Responsibilities
- Lead and scale the Infrastructure Pod, setting technical direction for data, platform, and DevOps initiatives.
- Architect and evolve our cloud infrastructure to support 1B+ daily events — ensuring reliability, scalability, and cost efficiency.
- Collaborate with Data Engineering and ML pods to build high-performance pipelines and real-time analytics systems.
- Define and implement SLOs, observability standards, and best practices for uptime, latency, and data reliability.
- Mentor and grow engineers, fostering a culture of technical excellence, ownership, and continuous learning.
- Partner with leadership on long-term architecture and scaling strategy — from infrastructure cost optimization to multi-region availability.
- Lead initiatives on infrastructure automation, deployment pipelines, and platform abstractions to improve developer velocity.
- Own security, compliance, and governance across infrastructure and data systems.
Who You Are
- Previously a Tech Co-founder / Founding Engineer / First Infra Hire who scaled a product from early MVP to significant user or data scale.
- 5–12 years of total experience, with at least 2+ years in leadership or team-building roles.
- Deep experience with cloud infrastructure (AWS/GCP),
- Experience with containers (Docker, Kubernetes), and IaC tools (Terraform, Pulumi, or CDK).
- Hands-on expertise in data-intensive systems, streaming (Kafka, RabbitMQ, Spark Streaming), and distributed architecture design.
- Proven experience building scalable CI/CD pipelines, observability stacks (Prometheus, Grafana, ELK), and infrastructure for data and ML workloads.
- Comfortable being hands-on when needed — reviewing design docs, debugging issues, or optimizing infrastructure.
- Strong system design and problem-solving skills; understands trade-offs between speed, cost, and scalability.
- Passionate about building teams, not just systems — can recruit, mentor, and inspire engineers.
Preferred Skills
- Experience managing infra-heavy or data-focused teams.
- Familiarity with real-time streaming architectures.
- Exposure to ML infrastructure, data governance, or feature stores.
- Prior experience in the OTT / streaming / consumer platform domain is a plus.
- Contributions to open-source infra/data tools or strong engineering community presence.
What We Offer
- Opportunity to build and scale infrastructure from the ground up, with full ownership and autonomy.
- High-impact leadership role shaping our data and platform backbone.
- Competitive compensation + ESOPs.
- Continuous learning budget and certification support.
- A team that values velocity, clarity, and craftsmanship.
Success Metrics
- Reduction in infra cost per active user and event processed.
- Increase in developer velocity (faster pipeline deployments, reduced MTTR).
- High system availability and data reliability SLAs met.
- Successful rollout of infra automation and observability frameworks.
- Team growth, retention, and technical quality.
- Oversee the editing of all video content, ensuring it aligns with the creative vision and storytelling objectives.
- Manage the editing team, assigning projects, monitoring progress, and ensuring deadlines are met.
- Collaborate with Directors, Producers, and Motion Graphics Designers to create cohesive and engaging narratives.
- Maintain quality control on all output, ensuring that the final products meet the high standards expected by clients and stakeholders.
- Innovate and drive the adoption of new editing technologies and techniques to keep the agency at the forefront of the industry.
About Us:
Docsumo is Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We work with clients such as PayU, Arbor and Hitachi and are backed by Sequoia, Barclays, Techstars, and Better Capital.
Responsibilities:
- You will be responsible for overseeing the development of Docsumo React webapp.
- You will be working closely with the founders and lead the frontend development
- Serve as a thought leader and mentor on technical, architectural, design and related issues
- You will be responsible to provide oversight, accountability, and leadership for technical decisions.
- You will be designing and building modules in React within the Docsumo webapp.
- Own and Implement the features using the technology stack that we have in place while bringing in flavours of latest but proven trends and methods
- Contribute to Product and Design ideas and Implement them as your own product. We value everyone’s inputs
- Work with our hiring team to hire amazing engineers who will expand the Docsumo culture and product
Skills:
- At least 6+ years years experience building React webapps
- Excellent command over React, redux, javascripts, HTML5 and CSS
- Provided effective team management and mentoring for over 3+ years to foster professional growth and drive team success
- Demonstrated ability to build 0-1 product from using React.
- Demonstrated ability of managing frontend engineers
- Proven skills in developing a production level end to end UI application on their own
- Familiarity with Version Control tools, deployment, cloud services and CI/CD
- Must be self-motivated, flexible, collaborative, with an eagerness to learn
- Comfortable working in an Agile work environment with an incredibly fast pace and a large degree of independence.
Benefits:
- Enjoy the flexibility of a hybrid working model, allowing for a balanced work-life integration.
- Access comprehensive insurance coverage to safeguard your health and well-being.
- Participate in our stock options program to share in the company's success and future growth.
Roles and
Responsibilities
Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to
help us in configure and develop new AWS environments for our Enterprise Data Lake,
migrate the on-premise traditional workloads to cloud. Must have a sound
understanding of BI best practices, relational structures, dimensional data modelling,
structured query language (SQL) skills, data warehouse and reporting techniques.
Extensive experience in providing AWS Cloud solutions to various business
use cases.
Creating star schema data models, performing ETLs and validating results with
business representatives
Supporting implemented BI solutions by: monitoring and tuning queries and
data loads, addressing user questions concerning data integrity, monitoring
performance and communicating functional and technical issues.
Job Description: -
This position is responsible for the successful delivery of business intelligence
information to the entire organization and is experienced in BI development and
implementations, data architecture and data warehousing.
Requisite Qualification
Essential
-
AWS Certified Database Specialty or -
AWS Certified Data Analytics
Preferred
Any other Data Engineer Certification
Requisite Experience
Essential 4 -7 yrs of experience
Preferred 2+ yrs of experience in ETL & data pipelines
Skills Required
Special Skills Required
AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.
Bigdata: Databricks, Spark, Glue and Athena
Expertise in Lake Formation, Python programming, Spark, Shell scripting
Minimum Bachelor’s degree with 5+ years of experience in designing, building,
and maintaining AWS data components
3+ years of experience in data component configuration, related roles and
access setup
Expertise in Python programming
Knowledge in all aspects of DevOps (source control, continuous integration,
deployments, etc.)
Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD
Hands on ETL development experience, preferably using or SSIS
SQL Server experience required
Strong analytical skills to solve and model complex business requirements
Sound understanding of BI Best Practices/Methodologies, relational structures,
dimensional data modelling, structured query language (SQL) skills, data
warehouse and reporting techniques
Preferred Skills
Required
Experience working in the SCRUM Environment.
Experience in Administration (Windows/Unix/Network/
plus.
Experience in SQL Server, SSIS, SSAS, SSRS
Comfortable with creating data models and visualization using Power BI
Hands on experience in relational and multi-dimensional data modelling,
including multiple source systems from databases and flat files, and the use of
standard data modelling tools
Ability to collaborate on a team with infrastructure, BI report development and
business analyst resources, and clearly communicate solutions to both
technical and non-technical team members
Designation/Role : City Lead Operations/ Senior Logistics Manager
Location : Gurgaon
Education Qualification : IIT/NIT - 2012 to 2016 Batch OR
MBA - Sales/Operations/Marketing can also be considered.
Experience Required : Last Mile Delivery Experience working in companies like Shadowfax, Lalamove, Delhivery etc
Roles and Responsibilities :
- The candidate would be responsible for sustaining and growing the city's revenues with P&L responsibilities.
- Good in Leading the Sales team in initiating new accounts and managing relationships with existing ones, thereby ensuring a healthy mix of partners.
- Laying down the roadmap for new account acquisition for the city and ensuring its execution.
- Strategizing and executing all account related initiatives from operational troubleshooting to activation.
- Managing the rider life cycle (hiring to retire )
- The person should have leading the Operations team in delivering the best Customer experience while having a 360 degree view from Customer Care to Delivery Executive Safety to Optimal utilization of resources.
- Managing the administration function, operational performance reporting, streamlining processes and systems wherever possible
- Responsible for managing the City team from hiring and training new recruits to assigning targets and formulating incentive plans as well as career planning for each member of the team
Skill Set :
- Relevant work experience of 4+ years in Sales or Marketing or Operations with a penchant for Leadership.
- A competent decision-maker with the ability to create and execute a strategic sales and marketing plan for the region.
- A visionary who can foresee the Macro factors affecting the business and strategize preemptively.
- Identifies, builds and uses a wide network of contacts with people at all levels, internally and externally












