Manager, Customer Success

Job Title: Accounts Manager

Experience : 2 to 7 years

Location : Goregaon

Job Summary:

We are looking for a detail-oriented and proactive Accounts Manager to handle client payments, invoicing, and coordination with clients and internal teams. The role also involves working closely on brand-related activities to ensure smooth financial and operational processes.

Key Responsibilities:

Manage and track client payments, ensuring timely collections and follow-ups

Prepare and process client invoices accurately

Handle end-to-end client coordination regarding billing, payments, and account queries

Collaborate with internal teams for brand-related coordination and financial alignment

Maintain records of transactions, invoices, and payment status

Reconcile accounts and resolve discrepancies

Ensure compliance with company policies and financial procedures

Generate periodic reports on receivables and payment status

Required Skills & Qualifications:

Strong knowledge of accounting principles and invoicing

Good communication skills for client coordination

Ability to manage multiple accounts and deadlines

Proficiency in MS Excel and accounting software (Tally or similar)

Attention to detail and problem-solving skills

Experience in handling client servicing/brand coordination is a plus

Experience:

2–5 years in Accounts / Finance / Client Coordination role

Key Skills:

Client Payment Management

Invoicing & Billing

Client Coordination

Brand/Project Coordination

Accounts Reconciliation

Communication & Follow-ups

Job Responsibilities

This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other.

1. Be the first one to experiment on new age cloud offerings, help define the best practice as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
2. Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers.
3. Design and implement robust cloud solutions on AWS to meet organizational requirements.
4. Leverage AWS services like EC2, S3, Lambda, RDS, ECS, and EKS to build and maintain solutions.
5. Design, deploy, and manage Kubernetes clusters for containerized workloads.
6. Implement and optimize CI/CD pipelines for Kubernetes-based applications.
7. Ensure high availability, scalability, and performance of Kubernetes clusters.
8. Develop and manage infrastructure using Terraform to ensure repeatable and automated deployments.
9. Create and maintain Terraform modules and scripts for various cloud environments.
10. Lead migration projects to move applications, workloads, and data from on-premises or other cloud platforms to AWS.
11. Conduct assessments and provide recommendations for cloud readiness and optimization.
12. Implement best practices for security, compliance, and governance in AWS environments.
13. Manage IAM policies, roles, and permissions to ensure secure access.
14. Confident working with others to inspire a high-quality standard. Work closely with cross-functional teams, including developers, operations, and business stakeholders, to understand requirements and provide technical solutions.

Accomplishment Set

1. Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility
2. Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
3. Strong service attitude and a commitment to quality.
4. Highly organized and efficient.
5. Confident working with others to inspire a high-quality standard. Work closely with cross-functional teams, including developers, operations, and business stakeholders, to understand requirements and provide technical solutions.
6. Communicate complex technical concepts to non-technical stakeholders.

Qualification

Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So we might be looking for at least a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better along with:

Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong desire to deliver outlives those fancy degrees!

1. 7+ years of experience with at least 5+ years of experience with at least 2 - 3 years of hands-on experience in Cloud Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise environment.
2. Knowledge of programming against cloud platforms such as Google Cloud Platform and lean development methodologies.
3. Hands-on expertise with Kubernetes (EKS) and Terraform.
4. Proven experience in designing and executing cloud migration projects.
5. Strong understanding of AWS core services (e.g., EC2, S3, Lambda, RDS, VPC).
6. Proficiency in scripting and automation using tools like Bash, Python, or PowerShell.
7. Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline).
8. Knowledge of networking fundamentals, including DNS, VPN, Load Balancing, and Firewalls.
9. Good analytical, communication, problem-solving, and learning skills.

Role: SEO/Digital Marketing Expert

Exp: 3-4 Years

Budget: up to 30K

Location: Ahmedabad, WFO

Qualifications:

• 3-4 years of experience in SEO and digital marketing.
• Proven track record of success in achieving SEO and digital marketing goals.
• Strong understanding of SEO principles, including on-page, off-page, and technical SEO.
• Experience with Google Analytics, Google Search Console, and other relevant SEO tools.
• Experience with social media marketing platforms and advertising tools.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.

Title: Data Engineer II (Remote – India/Portugal)

Exp: 4- 8 Years

CTC: up to 30 LPA

Required Skills & Experience:

• 4+ years in data engineering or backend software development
• AI / ML is important
• Expert in SQL and data modeling
• Strong Python, Java, or Scala coding skills
• Experience with Snowflake, Databricks, AWS (S3, Lambda)
• Background in relational and NoSQL databases (e.g., Postgres)
• Familiar with Linux shell and systems administration
• Solid grasp of data warehouse concepts and real-time processing
• Excellent troubleshooting, documentation, and QA mindset

If interested, kindly share your updated CV to 82008 31681

Tasks and Responsibilities:

• Detailed technical analysis and specifications;

• Technical artifacts for new releases and automated tests as appropriate;

• Participation in meetings with the project team;

• Inputs to team lead for monthly activity and status reports of the team;

Profile:

• Bachelor or Master degree;

• +5 years of professional experience in software development;

• +3 years of hands-on Java or Node.js/Typescript development experience;

• Knowledge of JSF, Angular or Wicket;

• Knowledge of Docker, Solr/Elastic and/or Amazon Web Services (lambda, dynamodb, IAC, cognito, SNS, SQS, step-functions, cloud watch, log group, https codes used in REST api) is an advantage;

• Fluent in English

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams

As per 5 yrs below is the tech stack that he should know around django:

·         Django forms

·         Django Rest APIs

·         Schedulers/Cron Jobs

·         Customising middlewares

·         Customising permission classes

·         Management commands

·         Fixtures

·         Multiple Environment handling

·         Multiple database integration

·         SQL and NoSQL database integration experience

·         Use of loggers or any logging mechanism

·         Signals

·         Push notifications over IOS/Android devices

·         Email notifications

·         Websockets

·         Unit testing

·         Caching

·         Payment gateway integration

AWS & Deployment Skills:

·         Deployment of Django over EC2 using Nginx or Apache2

·         Configuring the Django to run the services like websockets, celery

·         Using and configuring the RDS

·         Should know how to use S3 buckets

aws-lambda