Handle Telephonic calls from clients
Handle queries related to product or service fom the clients

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🏢 About MyOperator
MyOperator is a Business AI Operator helping 12,000+ brands (Amazon, Domino’s, Apollo, Razorpay) manage WhatsApp, Calls, and AI chat & voice bots through one no-code platform.
🎯 Role Overview
We’re looking for a Senior Manager – HR Operations to own HR Ops end-to-end (excluding Talent Acquisition). This role enables leadership to focus on growth by running HR systems, processes, and compliance smoothly at scale.
🧠 Key Responsibilities
- Own end-to-end HR Operations
- Manage employee lifecycle: onboarding → payroll → exits
- Handle payroll, compliance, and vendor coordination
- Own HR tech stack (Zoho People, Payroll, Sign, workflows)
- Manage HR data, audits, and reporting
- Lead a small HR Ops team and act as the ops SPOC
⚙️ What We’re Looking For
- 6–10 years in HR Operations (startup / SaaS preferred)
- Hands-on with payroll, compliance, audits
- Strong experience running HR ops independently
- Tech-savvy; Zoho experience is a plus
- High ownership, low-ego, execution-first mindset
🌱 Why Join Us
- Real ownership and decision-making power
- Direct exposure to founders and leadership
- Tech-first HR environment (no Excel chaos)
- Opportunity to scale HR systems in a fast-growing SaaS company
Job Description:
- Should have basic experience in animation principles.
- Good understanding of aesthetics and animated canvas.
- Able to understand project requirements and handle projects independently.
- Create and Edit Videos for all projects and use motion for the created videos
- Strong learning capability.
- Having a good knowledge of Excel tools
- Framework experience would be beneficial.
- Should be comfortable working with the team.
- Strong expertise in Motion Graphics, with a blend of creative visualization, modern design, and typography.
- Proficiency in handling DSLR cameras for internal photo/video shoots and enhancing footage with effects and elements to produce high-quality videos.
- Basic knowledge of UI design is a plus, as it may be required for certain UI-related tasks and team collaboration.
Skills required:
- Demonstrated experience in a graphic and motion design position.
- A strong portfolio that highlights one's creativity and attention to detail.
- Excellent time management and communication abilities.
- Expert proficiency in Adobe After Effects, Adobe Premiere, Adobe Illustrator, and Adobe Photoshop.
- Knowledge of Figma and Blender 3D is a plus.
- Experience with BodyMovin (Lottie) and Duik plug-ins will be considered an added advantage.
Job Description.
1. Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)
2. Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)
3. Python or Java or JS basic knowledge (Python Preferred)
4. Monitoring tools
5. Alerting tools
6. Logging tools
7. CICD
8. Docker/containers/(k8s/terraform nice to have)
9. Experience working on distributed applications with multiple services
10. Incident management
11. DB experience in terms of basic queries
12. Understanding of performance analysis of applications
13. Idea about data pipelines would be nice to have
14. Snowflake querying knowledge: nice to have
The person should be able to :
Monitor system issues
Create strategies to detect and address issues
Implement automated systems to troubleshoot and resolve issues.
Write and review post-mortems
Manage infrastructure for multiple product teams
Collaborate with product engineering teams to ensure best practices are being followed
C, C++ , Linux , Device Driver , Linux Internals ,
Processor knowledge like Arm , Intel , Protocol SPI , I2C . Networking experience,
L2 protocols knowledge, knowledge on Python/Perl ,
Broadcom DNX/XGS device experience is desirable,
Interested to learn New things,
C,C++, LINUX INTERNAL OR IPC, LINUX OS CONCEPTS, DEVICE DRIVERS,
PROCESSOR KNOWLEDGE
SCRIPTING KNOWLEDGE EIHER PYTHON OR PERL
1. Flink Sr. Developer
Location: Bangalore(WFO)
Mandatory Skills & Exp -10+ Years : Must have Hands on Experience on FLINK, Kubernetes , Docker, Microservices, any one of Kafka/Pulsar, CI/CD and Java.
Job Responsibilities:
As the Data Engineer lead, you are expected to engineer, develop, support, and deliver real-time
streaming applications that model real-world network entities, and have a good understanding of the
Telecom Network KPIs to improve the customer experience through automation of operational network
data. Real-time application development will include building stateful in-memory backends, real-time
streaming APIs , leveraging real-time databases such as Apache Druid.
Architecting and creating the streaming data pipelines that will enrich the data and support
the use cases for telecom networks
Collaborating closely with multiple stakeholders, gathering requirements and seeking
iterative feedback on recently delivered application features.
Participating in peer review sessions to provide teammates with code review as well as
architectural and design feedback.
Composing detailed low-level design documentation, call flows, and architecture diagrams
for the solutions you build.
Running to a crisis anytime the Operations team needs help.
Perform duties with minimum supervision and participate in cross-functional projects as
scheduled.
Skills:
Flink Sr. Developer, who has implemented and dealt with failure scenarios of
processing data through Flink.
Experience with Java, K8S, Argo CD/Workflow, Prometheus, and Aether.
Familiarity with object-oriented design patterns.
Experience with Application Development DevOps Tools.
Experience with distributed cloud-native application design deployed on Kubernetes
platforms.
Experience with PostGres, Druid, and Oracle databases.
Experience with Messaging Bus - Kafka/Pulsar
Experience with AI/ML - Kubeflow, JupyterHub
Experience with building real-time applications which leverage streaming data.
Experience with streaming message bus platforming, either Kafka or Pulsar.
Experience with Apache Spark applications and Hadoop platforms.
Strong problem solving skills.
Strong written and oral communication skills.

● Operate as a key senior team member within the Engineering team driving execution strategies and implementation of product roadmap
● Lead one or more squads of engineers (front-end and back-end) - hiring, managing them as well as 1:1 coaching and mentoring them to advance in their careers
● Lead work in tandem with Product Squads (including PM, Designers, Analysts) and other internal stakeholders to strategize on and build world-class product/s
● Develop scope and objectives of projects and sprints based on technical feasibility, keeping relevant stakeholders in the loop, and ensuring engineering team delivers consistently on the same
● Ensure engineering bandwidth based on availability and allocation, and develop and maintain detailed project plan to track progress and set expectations with engineering squad/s
● Perform regular risk management to evaluate and minimize project risks
● Manage own time and bandwidth with being hands-on as required on a regular basis.
● Performing research and finding opportunities to utilize development best practices, forming guidelines to improve system productivity, and working on scaling and monitoring.
● Scale technology architecture and team to drive short and long term product growth
● Be a key engineering voice for Virtual Internships in the external world, showcasing the world-class capabilities of the engineering team through blog, posts, events and more
REQUIREMENTS
Must haves
● Overall 4 - 8 years of product engineering experience (ideally full stack)
● 1+ years of experience of managed engineering teams that have a strong record of developing and delivering world-class products
● Experience leading teams/working in an EPD/Squad structure working closely with PM, Designers, Analysts, Engineers and QA
● Deep technical skills and expertise but lean more on leadership skills to get the job done
● Past experience with MERN/MEAN Stack along with good exposure building scalable and distributed systems using microservices
● Good grasp and understanding of technical skills (at least a few):
Front-end - HTML, CSS, React.js, Webpack, Redux, Javascript, Enzyme
Back-end - Node.js, SQL, Redis, RestAPI
● Strong communication and inter-personal skills, especially to streamline flow of information between Engineering and other teams/departments, as well as strong conflict resolution skills
● Good at creative problem solving and critical thinking to resolve issues quickly for Engineers and other teams
Good to have
● Bachelor’s degree in computer science, information technology, or a similar field
● Previous experience on recruiting engineers and coaching/mentoring them
● Experience with high and low level software development concepts such as Scaling, OOP, Loadn Balancers, Storage, Application server protocols like HTTP, Websocket, etc.
● Experience working with complex data structures and data architecture
Bonus ‘to-haves’
● Experience with a (any) set of incredible product development and task management tools (such as ClickUp, JIRA, etc)
We are looking for a Full Stack developer who is dedicated to his craft, writes code that is proud of and can hit the ground running. We need you to write beautiful code to a high standard, in a timely and scalable way that improves the code-base of our products in meaningful ways. You will be a part of a creative team that is responsible for all aspects of the ongoing software development from the initial specification, to developing, testing and launching. What do we need? You will be responsible for managing backend architecture. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring performance and responsiveness to requests from the web or mobile app. A basic understanding of front-end technologies
Required Skills:
- Strong organizational and project management skills.
- Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
- Proficiency with JavaScript frameworks such as Angular 4+
- Proficiency with spring boot, hibernate, data JPA.
- Familiarity with Docker and Microservices
- Excellent verbal communication skills.
- Good problem-solving skills.
- Attention to detail.
Mandatory Skills:
- Spring Boot
- Hibernate
- Data JPA
- Angular 4+
- HTML
- CSS
- Set up, manage, automate and deploy AI models in development and production infrastructure.
- Orchestrate life cycle management of AI Models
- Create APIs and help business customers put results of the AI models into operations
- Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
- Validate the AI Models
- Make model performant (time and space) based on the business needs
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Processing, cleansing, and verifying the integrity of data used for analysis
- Ensuring that algorithms generate accurate user recommendations/insights/outputs
- Keep abreast with the latest AI tools relevant to our business domain
- Bachelor’s or master's degree in Computer Science, Statistics or related field
- A Master’s degree in data analytics, or similar will be advantageous.
- 3 - 5 years of relevant experience in deploying AI models to production
- Understanding of data structures, data modeling, and software architecture
- Good knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python/ R
- Proficiency in using query languages, such as SQL
- Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
- Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
- Having knowledge in CI/CD for the building and hosting the solutions
- We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
- Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies.
- Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
- A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.









