
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.

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Employment Type: Full-time
Job Summary
Responsibilities
Systems Thinking & Architecture
• Maintain a holistic view of the full technology stack, including how services, data layers, APIs, and infrastructure interact
• Identify architectural risks, bottlenecks, and opportunities for improvement before they become problems
• Contribute to and document architectural decisions that guide the team over time
Feature Ownership
• Own features and feature groups from discovery through delivery and ongoing monitoring
• Break down complex features into well-scoped engineering stories with clear acceptance criteria
• Help developers understand their individual parts and how each part fits into the larger whole
Design & Implementation
• Design and implement new components across the stack: backend services, APIs, frontends, mobile, and data layers
• Refactor and improve existing components for clarity, performance, and long-term maintainability
• Apply appropriate design patterns and keep solutions as simple as the problem allows
Code Quality
• Conduct thorough, constructive code reviews that improve quality and spread knowledge across the team
• Hold the team to high standards for test coverage, observability, and documentation
• Champion coding standards and contribute actively to engineering guidelines
Mentorship & Team Growth
• Coach and mentor junior and mid-level engineers through pairing, reviews, and direct feedback
• Create a supportive learning environment where engineers grow in capability and confidence
• Contribute to team processes, retrospectives, and a culture of continuous improvement
About MyOperator:
MyOperator is India's leading cloud communications provider, empowering over 10,000 businesses across diverse industries with innovative SaaS solutions. Our offerings include Cloud Call Center, IVR, Toll-free Numbers, Enterprise Mobility, WhatsApp Business Solutions, and Heyo Phone. We are dedicated to delivering excellence through cutting-edge technology and exceptional customer service.
About the Role:
Are you a results-driven and detail-oriented professional with a strong understanding of telecom regulations and backend operations? We are seeking a dynamic Compliance Analyst - Operations to take ownership of backend operations, vendor management, and ensure full adherence to telecom-related compliances.
This role requires a deep understanding of telecom infrastructure, data center operations, and regulatory frameworks. You will be instrumental in driving compliance, optimizing operational processes, supporting strategic business growth, and mitigating potential operational and compliance risks.
Key Responsibilities:
- Regulatory Compliance: Ensure adherence to all telecom-related laws, licenses, and regulatory guidelines (TRAI, DoT, etc.). Stay updated on compliance mandates, coordinate audits and filings, and manage relationships with regulatory bodies.
- Telecom Procurement & Vendor Management: Conduct end-to-end procurement of telecom resources and services, ensuring cost efficiency, SLA adherence, and compliance in vendor contracts. Develop and execute vendor management strategies including evaluation, onboarding, contract compliance checks, and performance reviews.
- Data Center Operations: Oversee procurement and resource planning for data center infrastructure, monitor performance, identify areas for optimization and regulatory alignment, and ensure adherence to relevant security standards.
- Vendor Governance: Develop and execute vendor management strategies including evaluation, onboarding, contract compliance checks, and performance reviews. Manage relationships with key vendors.
- Asset & Infrastructure Troubleshooting: Manage technical troubleshooting, minimize downtime, and ensure preventive maintenance protocols for telecom infrastructure and data centers.
- Ticketing & Issue Resolution: Handle operational queries via ticketing system, conduct root cause analysis, and suggest process improvements.
- SOPs & Process Development: Define, document, and suggest Standard Operating Procedures (SOPs) across telecom, compliance, and operations functions. Identify opportunities for automation in operational processes.
- Data Management & Reporting: Collect and analyze data from internal and external sources to support management decision-making. Develop dashboards and reports for operational visibility and monitor Key Performance Indicators (KPIs) for backend operations and compliance.
- Cross-functional Collaboration: Work with internal teams to align operational strategies with business objectives and compliance standards.
- Audit & Cost Optimization Support: Assist in telecom/vendor audits (internal and external) and contribute to cost-efficiency initiatives across operations. Familiarity with audit frameworks is desirable.
- Risk Management & Mitigation: Identify potential operational and compliance risks and develop and implement mitigation strategies.
- Stakeholder Management: Interact and manage relationships with external stakeholders like regulatory bodies and auditors.
- Admin Oversight: Manage end-to-end admin tasks including facility coordination, vendor contracts, and support services to ensure smooth daily operations.
Requirements:
- Education: Post Graduate (MBA preferred).
- Experience: Minimum 3-5 years of experience in backend operations, with mandatory exposure to telecom infrastructure and telecom regulatory compliance.
Skills:
- Deep understanding of the telecom regulatory landscape (TRAI, DoT, etc.).
- Strong vendor management and negotiation skills, including SLA adherence.
- Knowledge of telecom and data center infrastructure operations and relevant security standards.
- Ability to design and optimize operational workflows and SOPs.
- Proficiency in MS Office (Excel, Word, PowerPoint).
- Working knowledge of data reporting tools like Google Data Studio, AWS QuickSight, etc.
- Strong communication and analytical skills.
- Experience of working with ticketing systems.
- Basic project management skills.
- Certifications: Relevant certifications (e.g., ITIL, specific telecom certifications, compliance-related certifications) are a plus.
- Understanding of SLAs and KPIs: Proven ability to understand, define, and monitor Key Performance Indicators (KPIs) for backend operations and compliance.
- Location: Candidates must be based in Delhi/NCR.
Other Requirements:
- Willingness to work flexible hours and roster-based shifts (including Sundays).
- Comfortable with a 6-day workweek.
- Location: Work-from-office (Noida, Sector 2).
- Willing to travel to data centers across India when needed.
- Flexibility in communication with both technical and non-technical stakeholders.
- Proactive and solution-oriented approach to challenges.
Benefits:
- Competitive salary aligned with industry standards and experience.
- Opportunity to work at the intersection of compliance, operations, and telecom infrastructure.
- Exposure to strategic and high-impact operational roles across telecom and data center verticals.
- A dynamic and collaborative work environment with growth potential.
- On-the-job learning in telecom regulations, infra compliance, and vendor governance.
- Potential for growth within the organization.
- Exposure to new and innovative technologies in the telecom and data center space (if applicable).
- Specific training opportunities in telecom regulations or technologies (if applicable).
Job Title: Windows Kernel - Tech Lead
Experience: 5+ Years
Role Overview:
We are looking for a highly skilled Windows Kernel Tech Lead with strong expertise in low-level system programming and kernel development. The candidate will lead the design, development, and optimization of kernel-level components, ensuring high performance, stability, and security.
Required Skills & Qualifications :
- 5+ years of experience in Windows Kernel development
- Strong expertise in C/C++ and system programming
- Hands-on experience with Windows Driver Development (WDM/WDF)
- Strong debugging skills using tools like WinDbg, KD, and kernel debugging techniques
- Deep understanding of OS internals (memory management, process/thread handling, I/O systems)
- Experience with multithreading, synchronization, and performance tuning
Key Responsibilities:
- Lead the design and development of Windows kernel-mode drivers and system-level components
- Work on low-level system programming, debugging, and performance optimization
- Analyze and resolve complex kernel issues such as memory leaks, crashes, and race conditions
- Collaborate with cross-functional teams including hardware, firmware, and application teams
- Ensure code quality through reviews, best practices, and adherence to secure coding standards
- Mentor junior engineers and provide technical leadership
🎯 About Us
Stupa builds cutting-edge AI for real-time sports intelligence ; automated commentary, player tracking, non-contact biomechanics, ball trajectory, LED graphics, and broadcast-grade stats. Your models will be seen live by millions across global events.
🌍 Global Travel
Work that literally travels the world. You’ll deploy systems at international tournaments across Asia, Europe, and the Middle East, working inside world-class stadiums, courts, and TV production rooms.
✨ What You’ll Build
- AI Language Products
- Automated live commentary (LLM + ASR + OCR), real-time subtitles, AI storytelling.
- Non-Contact Measurement (CV + Tracking + Pose Estimation)
- Player velocity, footwork, acceleration, shot recognition, 2D/3D reconstruction, real-time edge inference.
- End-to-End Streaming Pipelines
- Temporal segmentation, multi-modal fusion, low-latency edge + cloud deployment.
🧠 What You’ll Do
Train and optimise ML/CV/NLP models for live sports, build tracking & pose pipelines, create LLM/ASR-based commentary systems, deploy on edge/cloud, ship rapid POCs→production, manage datasets & accuracy, and collaborate with product, engineering, and broadcast teams.
🧩 Requirements
Core Skills:
- Strong ML fundamentals (NLP/CV/multimodal)
- PyTorch/TensorFlow, transformers, ASR or pose estimation
- Data pipelines, optimisation, evaluation
- Deployment (Docker, ONNX, TensorRT, FastAPI, K8s, edge GPU)
- Strong Python engineering
Bonus: Sports analytics, LLM fine-tuning, low-latency optimisation, prior production ML systems.
🌟 Why Join Us
- Your models go LIVE in global sports broadcasts
- International travel for tournaments
- High ownership, zero bureaucracy
- Build India’s most advanced AI × Sports product
- Cool, futuristic problems + freedom to innovate
- Up to ₹40LPA for exceptional talent
🔥 You Belong Here If You…
Build what the world hasn’t seen • Want impact on live sports • Thrive in fast-paced ownership-driven environments.
and professional email designs. With the desire to learn organisational and business values, they
should be able to determine the requirements and produce exceptional work.
Responsibilities
Understand the brief, participate in brainstorming and produce creative designs that result in an engaging
consumer journey.
Collaborate with the marketing team and copywriters to understand the exact requirements and
expectations.
Be a great team player and coordinate with other design teams to seek and provide design assistance.
Use proficient creative software skills to create variety of static and motion graphics for communication
design.
Learn business requirements and organisational values to adapt the same in designs.
Understand how creatives are performing via analysing performance data, and incorporate the same
understanding into subsequest creatives.
Requirements
• Strong Knowledge of Photoshop and Illustrator.
• Excellent visual design skills in both static and basic motion graphics.
• Basic knowledge of HTML and Adobe XD will be advantageous.
• Ability to present your designs and defend your solutions to various stakeholders.
•2-4 years of experience as a graphic designer in a relevant field.
•E-commerce background is a plus point.
Professional written and interpersonal skills.
• Understanding the Beauty Space is a plus.
• Experienced in determining requirements and meeting deadlines.
•Good layout designing skills and sense of colour usage.
The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Responsibilities for Data Engineer
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
• Experience building and optimizing big data ETL pipelines, architectures and data sets.
• Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
• Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
• A successful history of manipulating, processing and extracting value from large disconnected
datasets.
Location: Indore madhya pradesh india
Experience: 3 - 5 years
Work Model (WFO) 5 days
Perks and Benefits
Five days work culture with flexible timings
Fun environment: cool office space, stocked pantry, and team bonding, outing.
· Familiarity with the concepts of MVC frameworks, ORM, and REST API for data transfer
· Ensure that our stack is built for speed and scalability
· Healthy knowledge in database management (PostgreSQL, MongoDB)
· Write effective APIs for integration with other systems
· Should be aware of caching and handling memory leaks
· Work closely with our Product Managers to understand the product and business needs
· Maintain awareness of the current product roadmap to assist with developing strategic plans
· Research into emerging technologies
· Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
· Focus on fast, iterative, agile development
· Mentor junior team members throughout the product development lifecycle
· Deep expertise in Object-Oriented Programming, Concurrency, Design Patterns, RESTful APIs, Service Oriented Architecture, Test Driven Development
· Development with Ruby on Rails
· JavaScript frameworks such as Angular and React
· Web fundamentals such as HTML, CSS, JavaScript and jQuery
· Writing effective REST APIs
· Experience with SQL and NoSQL (Mongo DB) Databases
· Experience with automated continuous integration and deployment tools like CircleCI and Jenkins
· Proficient in the use of Rail's tooling like RSpec, Rake
· Experience with Amazon Web Services Stack is a big plus
· Excellent analytical, communication, and teamwork skills
· Ability to guide and mentor junior members of the team
· Ability to work effectively with minimal supervision while meeting deadlines.
- GCP Cloud experience mandatory
- CICD - Azure DevOps
- IaC tools – Terraform
- Experience with IAM / Access Management within cloud
- Networking / Firewalls
- Kubernetes / Helm / Istio
About You:
We are looking for a candidate with 3 years of experience in mobile app development. Must have done at least 4 projects in react native. In this position you’ll be working with technologies like React Native, Redux, RX Observables, Type Script etc.
Skills & Qualifications:
- Good mobile app development experience (3 years)
- Strong knowledge of React Native(2+ years)
- Strong Javascript knowledge
- Strong attention to detail in UX & interactions
- Familiar with different tools Sentry, Bitrise, Hockeyapp, ESLint
- Familiar with Javascript ES6/ES7
- Experience with HTML/CSS(SAAS/LESS)
- Experience integrating REST APIs.
- Good knowledge of Git, Gitlab/bitbucket/Github etc.
- Familiarity with Redux











