
Work Mode: Hybrid (2 days WFO)
We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.
Responsibilities
· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data
· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development
· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
· Unify, enrich, and analyze variety of data to derive insights and opportunities
· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform
· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
· Mentor other members in the team and organization and contribute to organizations’ growth.
Soft Skills
· Independent and able to manage, prioritize & lead workloads
· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
· Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills
· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.
· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity
· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application
· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools

About BlueCloud
About
BlueCloud proudly stands at the forefront of data and analytics, GenAI, and cloud transformation. As a leading Snowflake partner, we offer our clients tailored solutions using the latest cloud technologies. Our suite of premium services includes digital strategy, data engineering and analytics, digital services, and cloud operations—all offered at competitive rates, thanks to our unique flexible delivery model.
At BlueCloud, we provide a dedicated Innovation team for strategic and execution support to implement effective business strategies and technology solutions for our diverse clientele, which spans Fortune 500 companies, mid-market firms, and startups. Our commitment is steadfast in fostering customer success within the dynamic GenAI landscape. We prioritize innovation, exceptional customer service, and the cultivation of employee engagement.
For deeper insight into our capabilities and the real-world impact we create, we invite you to visit our website at www.blue.cloud.
Connect with the team
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🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)
Experience: 4–8 Years
Location: Bengaluru (On-site / Hybrid)
Company: Publicly Listed, Global Product Platform
🧠 About the Mission
We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.
This is not incremental improvement.
This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.
We are re-architecting:
- Legacy systems → AI-native architectures
- Static pipelines → autonomous, self-healing systems
- Data platforms → intelligent, learning systems
- Software workflows → agentic execution layers
This is the kind of shift you would expect from companies like Google or Microsoft —
Except here, you will build it from day zero and scale it globally.
🧠 The Opportunity: This role sits at the intersection of three high-impact domains:
1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI
2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines
3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure
We are building systems where:
- Data platforms optimize themselves using ML/LLMs
- Pipelines are autonomous, self-healing, and adaptive
- Queries are generated, optimized, and executed intelligently
- Infrastructure learns from usage and evolves continuously
This is: AI as the control plane for data infrastructure
🧩 What You’ll Work On
You will design and build AI-native systems deeply embedded inside data infrastructure.
1. AI-Native Data Platforms
- Build LLM-powered interfaces:
- Natural language → SQL / pipelines / transformations
- Design semantic data layers:
- Embeddings, vector search, knowledge graphs
- Develop AI copilots:
- For data engineers, analysts, and platform users
2. Autonomous Data Pipelines
- Build self-healing ETL/ELT systems using AI agents
- Create pipelines that:
- Detect anomalies in real time
- Automatically debug failures
- Dynamically optimize transformations
3. Intelligent Query & Compute Optimization
- Apply ML/LLMs to:
- Query planning and execution
- Cost-based optimization using learned models
- Workload prediction and scheduling
- Build systems that:
- Learn from query patterns
- Continuously improve performance and cost efficiency
4. Distributed Data + AI Infrastructure
- Architect systems operating at:
- Billions of events per day
- Petabyte-scale data
- Work with:
- Distributed compute engines (Spark / Flink / Ray class systems)
- Streaming systems (Kafka-class infra)
- Vector databases and hybrid retrieval systems
5. Learning Systems & Feedback Loops
- Build closed-loop AI systems:
- Execution → feedback → model updates
- Develop:
- Continual learning pipelines
- Online learning systems for infra optimization
- Experimentation frameworks (A/B, bandits, eval pipelines)
6. LLM & Agentic Systems (Infra-Aware)
- Build agents that understand data systems
- Enable:
- Autonomous pipeline debugging
- Root cause analysis for infra failures
- Intelligent orchestration of data workflows
🧠 What We’re Looking For
Core Foundations
- Strong grounding in:
- Machine Learning, Deep Learning, NLP
- Statistics, optimization, probabilistic systems
- Distributed systems fundamentals
- Deep understanding of:
- Transformer architectures
- Modern LLM ecosystems
Hands-On Expertise
- Experience building:
- LLM / GenAI systems (RAG, fine-tuning, embeddings)
- Data platforms (warehouse, lake, lakehouse architectures)
- Distributed pipelines and compute systems
- Strong programming skills:
- Python (ML/AI stack)
- SQL (deep understanding — query planning, optimization mindset)
Systems Thinking (Critical)
You think in systems, not components.
- Built or worked on:
- Large-scale data pipelines
- High-throughput distributed systems
- Low-latency, high-concurrency architectures
- Understand:
- Query optimization and execution
- Data partitioning, indexing, caching
- Trade-offs in distributed systems
🔥 What Sets You Apart (Top 1%)
- Built AI-powered data platforms or infra systems in production
- Designed or contributed to:
- Query engines / optimizers
- Data observability / lineage systems
- AI-driven infra or AIOps platforms
- Experience with:
- Multi-modal AI (logs, metrics, traces, text)
- Agentic AI systems
- Autonomous infrastructure
- Worked on systems at scale comparable to:
- Google (BigQuery-like systems)
- Meta (real-time analytics infra)
- Snowflake / Databricks (lakehouse architectures)
🧬 Ideal Background (Not Mandatory)
We often see strong candidates from:
- Data infrastructure or platform engineering teams
- AI-first startups or research-driven environments
- High-scale product companies
Experience building:
- Internal platforms used by 1000s of engineers
- Systems serving millions of users / high throughput workloads
- Multi-region, distributed cloud systems
🧠 The Kind of Problems You’ll Solve
- Can LLMs replace traditional query optimizers?
- How do we build self-healing data pipelines at scale?
- Can data systems learn from every query and improve automatically?
- How do we embed reasoning and planning into infrastructure layers?
- What does a fully autonomous data platform look like?
Background: We Commonly See (But Not Limited To)
Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:
- Leading engineering schools in India and globally
- Engineers with experience in top product companies, AI startups, or research-driven environments
- That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.
Company Description
At Magma, we create content that delivers tangible outcomes. Some of the world’s best companies come to us when they need content that ranks high on search engines and drives real engagement.
Our clients include Airbnb, Upwork, Digital.com, Nice Job, Unmudl, and many more.
Job Description
We are seeking a dynamic and detail-oriented Brand Manager with experience in a marketing agency environment to join our team. The ideal candidate will have a proven track record of managing clients and executing successful brand strategies. This role requires a strong understanding of social media management, content planning, and team leadership, with a keen eye for detail and excellent communication skills.
Key Responsibilities:
1) Develop and implement comprehensive brand strategies for clients to enhance brand awareness and market presence.
2) Manage client relationships, ensuring exceptional service and clear communication to understand their needs and objectives.
3) Oversee social media management, including content planning, creation, and scheduling to drive engagement and brand loyalty.
4) Collaborate with cross-functional teams to produce high-quality content that aligns with brand guidelines and marketing goals.
5) Monitor and analyse market trends, competitor activities, and campaign performance to inform strategy and optimize results.
6) Lead and mentor team members, fostering a collaborative environment to achieve project goals.
7)Coordinate with international teams or clients, leveraging global insights to enhance brand
strategies.
8)Utilize SEO best practices to improve online visibility and drive traffic to brand platforms.
Qualifications:
1) Bachelor’s degree in Marketing, Business, or a related field.
2) 3-5 years of experience in brand management, preferably within a marketing agency.
3) Proven experience in client servicing and relationship management.
4) Strong knowledge of social media platforms, content planning, and digital marketing strategies.
5)Familiarity with SEO principles and practices is a plus.
6) Exceptional communication skills, both written and verbal.
7) Ability to multitask and manage multiple projects simultaneously while maintaining attention to detail.
Benefits:
1) Opportunities for professional development and growth.
2) A dynamic work environment that encourages creativity and innovation.
As a Manager in our Performance Marketing team, you will be responsible for driving growth of APAC & North America regions through digital marketing. This team is a key driver of growth for Headout and is responsible for acquiring customers and generating demand for our vast collection of experiences and destinations. This is a key role for our overall company growth and profitability.
As Performance Marketing Manager, you will:
- 1. Manage all paid user acquisition channels for APAC & North America. This includes: Responsible to deliver ROI & GBV targets for your regions and growing these each quarter
- Actively manage and grow SEM campaigns for new and existing categories & markets
- Identify opportunities to scale existing channels of user acquisiton including SEM, OLA and Facebook d. Develop new channels of user acquisition to drive new growth and diversify channel-mix
- Improve the efficiency of the team through process improvements, decision making frameworks and automation
- Improve reporting and data analysis to uncover new opportunities or Coordinate with other teams such as product, data, operations & supply to participate in & lead company-wide growth projects by leveraging various levers like:
- Identifying new market opportunities
- Product enhancements
- Pricing strategy
- Competitive benchmarking
- Building stronger engagement loops and cross-channel campaign strategies
What we're looking for:
- 4+ years of experience in managing SEM campaigns at scale
- 2+ years of experience in managing a team
- Detail-oriented and analytical
- Strong learning curve
- Data-driven decision making
- Able to effectively organize, prioritize & manage their time
- Experience with Automations is a big plus
About the role: In this role, you will be responsible for the end-to-end development of software solutions related to banking, payments, investments, wallets, and other fintech products. You will work closely with software engineers, test engineers, researchers, designers, and the management team.
You will be responsible for enforcing software development best practices in a fast-paced Agile/DevOps environment, while always focusing on delivering high-value. In the process, you will work with primarily fintech technologies and other distributed systems-related tools,
techniques and methodologies.
If you want to join an early-stage startup that values you and your skills, and gives you the freedom to work at your pace while delivering a fantastic all-in-one financial app for all Indians, this is the perfect role for you.
About us: Mool is an all-in-one financial app where you can save, spend and invest your money with confidence. We understand that everyone deserves a good relationship with their money and growing your wealth should not be a difficult process. To help you gain financial freedom, we bring together champions of the financial service industry to champion you with best-in-class products.
Our ideal candidates will:
• Be highly experienced in Golang. So, if you have at least 1 year of active golang development experience, we want you!
• Have a good understanding of the MVC framework and also proficiency in using advanced JavaScript libraries and frameworks such as ExpressJS, FastifyJS and other backend and frontend frameworks
• Understand and experience with cloud technologies: AWS (Must have) and Azure.
• Be knowledgeable in code versioning tools and dev ops methodologies such as Git.
• Highly experienced with various databases such as MongoDB, PostgreSQL, MYSQL
• Have worked on Relational Database and can figure out where to add Indexes in DB to optimise the performance
• Know how Cache Layer works (e.g. Redis)
• Have experience with queuing services and frameworks such as KafkaRabbit MQ. We prefer it if you have experience with fintech systems and applications
• Expected to have a good understanding of security practices for financial systems.
• Have experience in writing Unit and E2E test cases
• Have experience with Network Security or Ethical Hacking
• Experience with integrating banking APIs
Roles and responsibilities:
• Take an active part in the design process of the architecture of the mobile application
• Maintain quality and ensure responsiveness of applications
• Collaborate with the rest of the engineering team to design and launch new features
• Maintain code integrity and organization
• Working with the design team to convert designs to visual elements
• Implement security and data protection systems and processes to ensure information security compliance
• Oversee full software development lifecycle for the product
The objective of digital marketing is to develop strong and innovative strategies to promote the business brand, products, and services. A digital marketing professional is expected to effectively use all marketing tools and techniques like PPC, SEO, SEM, email, social media, and display advertising. A typical digital marketing job description will cover all the above aspects, and more:
- Identify trends and insights
- Allocate marketing investments
- Plan and direct marketing campaigns
- Manage an organization's website and maintain it, keeping best practices in mind
- Optimize content for the website and social media platforms
- Work with various content formats such as blogs, videos, audio podcasts, etc.
- Track the website traffic flow
- Implement and analyze performance metrics
- Measure and assess goals vis-à-vis ROI
- Device experiments and conversion tests
- Provide internal reports on a regular basis
- Execute new and creative collaborations among technologies and platforms.
Your responsibilities as a Full Stack Developer * Write clean codes with relevant test cases
Roles & Responsibilities-
- Prototype quickly and optimize iteratively
- Integrating front end with server-side logic
- Implement security and data protection measures
- Document the work properly
- Implement feedback received from end-users
- Deployment on cloud
- Understanding of code versioning tools like git
Experience-
- Must have at least 2-3 years of experience in MEAN Stack development i.e MongoDB, Express.js, Angular, and Node.js
- Extensive Experience in API integration and development.
- Working knowledge of HTML5, CSS3, and JavaScript.
- Experience with version control systems and repository management.
- Passionate about writing clean, efficient, and maintainable code.
- Strong analytical and debugging skills and experience building consumer systems at scale.
Required skillset
Applicants must have knowledge and experience in the following:
- Backend frameworks like nodejs, expressjs
- Working with RDBMS
- Familiarity with MongoDB would be beneficial
- HTML, CSS & JavaScript
- Frontend frameworks like Angular, React / Svelte
- A web servers like Nginx
- Familiarity of working with WebSocket’s
- Docker understanding
Position : US IT Technical Recruiter/Sr. Technical Recruiter / Lead Recruiter
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Job Type: Full-Time
Job Responsibilities:
Work with engineering leaders and recruiters in defining and maintaining hiring needs
Understand technical requirements of a role, the engineering challenge, and how it fits into the organization
Execute on tactical outreach, referral generation, events, and pipelining efforts
Craft custom outreach and meaningful candidate engagement
Work with teams to engage engineering leaders early in the recruiting cycle
Influence clients to engage directly in recruiting talent
You will own candidate relationships all the way to the point of an in-person interview, and will be tightly integrated into the feedback process during the interview process.
Recommend and drive improvements with recruiters and interviewing teams to effectively screen and assess talent
Work with schedulers and recruiters to ensure a remarkable candidate experience.
Research and gather market intelligence
Track candidate activity and share with internal stakeholders
Skills/Qualifications
Minimum of 2- 6 years of strong technical sourcing/recruiting experience, preferably in the IT Software field.
Must have good understanding of technology – majorly with .Net Developer, Full stack Developer, Data Scientist, Data Analyst, Azure, Cloud based Data, Data Engineer, SRE.
Excellent research/sourcing skills, including use of Boolean, LinkedIn and alternative search techniques
Successful track record of sourcing for Senior to Leadership level Software Developer Engineers
Ability to deliver results with little supervision, and effectively manage and prioritize multiple projects and candidates
Decisive and able to push back constructively when appropriate
Good interpersonal skills and ability to network within the industry to identify top performers
Superb customer service focus, attention to detail and organization skills
Job description:
Job Title/Designation/Position: Dotnet Developer / Sr. Dotnet Developer
Total Experience: 4-8 years
Relevant Experience: 4-8 years
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Skills/Qualifications:
Primary Skills (Must have):
- C# with good understanding of OOPS, design patterns and multi-threading
- ASP.Net MVC, WEBAPI, RESTful services, JavaScript, jQuery
- .Net Framework
- Advanced knowledge of Microsoft SQL Server
- Knowledge of Unit Testing and Automated tests (nUnit)
- Knowledge of SQL Server/Oracle database and able to write Store-Procedures
- Strong analytical and problem-solving skills
- Good analytical skills along with Excellent written and verbal communication skills in English
- Bachelor’s Degree in Engineering /Technology / MCA
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Rawster is the digital interface for real life sports.
An early-stage startup that's set on blurring the line between Sports and E-sports.
Position
Full Stack Engineer (MERN stack)
Eligibility Criteria
- Minimum one year of working experience
- Must have skills : Experience in working with Full Stack Applications
- Exceptions can be made if proof of skill exists.
We are looking for a Full Stack JavaScript and NoSQL Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include implementing visual elements and their behaviors with user interactions. You will work in both front-end and back-end web development to build all client-side logic. You will also be bridging the gap between the visual elements and the server-side infrastructure, taking an active role on both sides, and defining how the application looks and functions. Build reusable code and libraries for future use
Development stack
Reactjs
React Native (Typescript)
Node.js
Koa.js/Express.js
MongoDB with Mongoose
PostGreSQL with knex
Remuneration : Based on skill and expertise,
ranging from* 5 to 11 Lakhs Per Annum*
You can expect..
- to play a role in the revolutionisation of Sports.
- a passionate and fast moving work culture; We are a tight-knit team.
- to experience the Victories and Struggles of an early-stage startup.
- to learn and grow with the team.
- competitive salaries and benefits.
Responsibilities and Duties
- Ensure the technical feasibility of UI/UX designs
- Optimize applications for maximum speed and scalability
- Assure that all user input is validated before submitting to back-end services
- Manage server side javascript code.
- Ensure performance, security, and availability of database
- Handle common database procedures such as upgrade, backup, recovery, migration, etc.
- Profile server resource usage, and optimize and tweak as necessary
- Collaborate with other team members and stakeholders
- Adaptability, ability to learn faster, Independant, Responsible and diligent
- Good team spirit and interpersonal skills, excellent written, verbal, communication skills, analytical skills and business thinking.
Qualifications and Skills
- Strong understanding of JavaScript, its quirks, and workarounds
- Basic understanding of web markup, including HTML5 and CSS3
- Experience with advanced CSS programming using LESS or SASS.
- Strong understanding and experience in libraries React.js and React Native
- Strong understanding and experience in Node.js and other server side technologies.
- Good understanding of asynchronous request handling, partial page updates, and AJAX
- Proficient understanding of cross-browser compatibility issues and ways to work around such issues
- Familiarity with front-end build tools, such as Grunt and Gulp.js
- Strong proficiency with NoSQL e.g MongoDB. Knowledge of SQL DBMS is a bonus.
- Ability to plan resource requirements from high level specifications
- Capable of troubleshooting common database issues
- Familiar with tools that can aid with profiling server resource usage and optimizing it
- Proficient understanding of code versioning tools, such as Git
Job Type: Full-time
Salary: ₹500,000.00 to ₹1,100,000.00 /year









