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About Us
Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance.
As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.
What We Build
- Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
- DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
- ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
- High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
- Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.
Evaluation Process
- HR Discussion – A brief conversation to understand your motivation and alignment with the role.
- Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
- Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
- Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
- Final Interview – A concluding round to explore your background, interests, and team fit in depth.
- Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.
Job Description : Blockchain Data & ML Engineer
As a Blockchain Data & ML Engineer, you’ll work on ingesting and modelling on-chain behaviour, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction.
What You’ll Work On
- Build and maintain ETL pipelines for ingesting and processing blockchain data.
- Assist in designing, training, and validating machine learning models for prediction and anomaly detection.
- Evaluate model performance, tune hyperparameters, and document experimental results.
- Develop monitoring tools to track model accuracy, data drift, and system health.
- Collaborate with infrastructure and execution teams to integrate ML components into production systems.
- Design and maintain databases and storage systems to efficiently manage large-scale datasets.
Ideal Traits
- Strong in data structures, algorithms, and core CS fundamentals.
- Proficiency in any programming language
- Familiarity with backend systems, APIs, and database design, along with a basic understanding of machine learning and blockchain fundamentals.
- Curiosity about how blockchain systems and crypto markets work under the hood.
- Self-motivated, eager to experiment and learn in a dynamic environment.
Bonus Points For
- Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.
- Side projects involving automated ML workflows, ETL pipelines, or crypto protocols.
- Participation in hackathons or open-source contributions.
What You’ll Gain
- Cutting-Edge Tech Stack: You'll work on modern infrastructure and stay up to date with the latest trends in technology.
- Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
- Ownership & Autonomy: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
- Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters
What We Value:
- Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
- Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
- Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
- Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.
Compensation:
- INR 6 - 12 LPA
- Performance Bonuses: Linked to contribution, delivery, and impact.


At https://www.holofy.io/">Holofy,We are building an incredible product and to do that we need incredible people.
If you have ambition and drive and want to own your roadmap in a company that knows how to innovate and scale, we want to talk to you.
We work in small, self-managing, collaborative and agile/Kanban teams and are looking for great technology developers who can work in the same.
Location - Remote/WFH
Pre-requisites:
- Hands on experience in mobile application development for at least 2 to 5 years.
- Hands on working experience in Swift.
- Hands on working experience in Offline storage like CoreData/Realm.
- Experience in multithreaded programming and memory optimization
- Ability to learn and grow in a fast paced setup.
- Working knowledge of iOS Architectural Components and Design Patterns
- Very good debugging skills
- Good knowledge in implementing Pixel Perfect designs
- Good in Data Structures and Algorithms.
Responsibilities:
- Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.
- Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions.
- Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create.
- Implementation of long term technology vision for your team.
- Responsible for complete architecture of your product;
- Creating architectures & designs for new solutions around existing/new areas
- Decide technology & tool choices for your team & be responsible for them.
What else we can offer:
- Limitless growth and encouragement to be innovative and challenge status quo.
- Exceptional compensation & benefits and performance-based recognition & rewards.
- Open door policy and flexible working hours and Medical coverage.
We're looking for candidates with experience with IT services sales only for this role. The candidate will be responsible for generating IT (Information Technology) sales and business, developing relationships with new clients, making sales visits and presentations, maintaining advanced knowledge of services, and establishing and meeting sales goals. The official designation would be Customer Success Executive.
Job Responsibilities
- Assist the sales team in lead generation and prospecting by using various online and offline tools and methods like cold calling, emails, events etc.
- Identify potential clients and establish relationships to understand their needs and requirements.
- Schedule appointments and demos for the sales team with qualified prospects.
- Provide excellent customer service by responding promptly to inquiries and concerns.
- Collaborate with other departments, such as marketing and customer service, to ensure customer satisfaction and retention.
- Liaise with technical team and marketing team for product marketing
- Achieve annual and quarterly order and revenue targets
- Suggest upgrades and services that may be of interest to clients.
- Negotiate with clients to secure the most attractive prices.
- Develop sales presentations, proposals, and contracts.
- Review clients' feedback and implement necessary changes.
- Remain in tune with trends in consumption to ensure that our offerings remain relevant.
Mandatory Skills:
- 2 years of Experience in IT Service Sales.
- MBA in marketing, business administration, or similar.
- Strong written and verbal communication skills.
- Excellent customer service and interpersonal skills.
- Ability to work independently and as part of a team.
- Should be good with decision-making and problem-solving skills
- Strong organizational and time-management skills.
- Ability to generate revenue by identifying pain points and suggesting suitable services.
- Great networking skills.
Benefits:
- Fantastic company culture.
- No politics. Just pure work and play!
- Very approachable and helpful seniors and peers.
- Get a chance to shape your career in one of the fastest-growing and dynamic spaces.
- Lots of creative freedom!
- Lots of fun at the workplace.
- Frequent fun activities to make work even more enjoyable :)

Location : Bangalore
Total No. of Positions : 10+
Exp Band 1: 5 to 8 years
Location: Bangalore (Work from Office)
Job Description :
Experience in c++ linux environment and JD as below
Requirements analysis (DOORs, Jama or similar tools preferred)
Design Methodologies (Object Oriented, UML, Iterative, Agile preferred)
C++ programming, C, shell scripting, networking protocols, audio & video distribution, and
database management
Software Configuration Management – experience with GIT (Stash/BitBucket) preferred
System Integration & Test – problem solving and defect resolution
Experience with Object Oriented Programming concepts and design patterns, and abstraction
methodology
Experience in software design and development of Linux-based systems following an industrial
process
Experience with testing frameworks (i.e. google test), mocking frameworks (i.e. google mock),
static analysis tools (i.e. CppCheck), and test driven development.
Good To Know:
Object Oriented Programming.
Database Programming in any DB. (preferably Oracle).
Socket Programming.
MultiThreading. (POSIX THREADS)
Data Structures, STL
C++ Unit Testing.
Good debugging skills.
RESPONSIBILITIES:
Campaign Management:
- Develop strategies and oversee the implementation of growth marketing campaigns, including focus content marketing, SEO, SEM, social media marketing, and paid advertising
- Understand user journey from first interaction to final conversion and create campaign targeting groups and strategies based on that.
- Conduct secondary research on latest and emerging trends and use cases in adtech (business model changes, applications, tools, platforms)
- Create, track and optimize campaigns across various digital marketing platforms
- Create Hypothesis and rapidly experiment against those hypothesis to consolidate the learnings and apply back to campaigns
- Drive performance across the User Acquisition funnel by optimizing for metrics such as ROAS, CAC, LTV
- Conduct periodic cohort analysis to measure users acquisitions and retention
- Report on campaign performance and improvements
- Develop partnerships with platforms, publishers, intermediaries, affiliate to unlock growth
Client Servicing:
- Be the SPOC for the client requirements. Proactively lead client discussions
- Understand client’s marketing objectives and translate to campaigns on different Digital Advertising platforms
- Updating clients and internal teams on a regular basis about the performance of the campaigns.
QUALIFICATIONS:
- MBA from Tier 1 Business School
- Minimum of 2 years of experience in the same industry
- Experience in running app install campaigns, including tracking In-App purchases across multiple channels
- Experience working with mobile attribution/integration platforms such as AppsFlyer, Singular, Branch, Facebook Analytics, Firebase Analytics and Messaging
- Solid expertise in campaign and channel analysis and reporting, including Google Analytics experience.
- Experience of Digital ad platforms like Google, Facebook, Programmatic
- Experience driving growth in user acquisition, user retention campaigns

Data Warehouse and Analytics solutions that aggregate data across diverse sources and data types
including text, video and audio through to live stream and IoT in an agile project delivery
environment with a focus on DataOps and Data Observability. You will work with Azure SQL
Databases, Synapse Analytics, Azure Data Factory, Azure Datalake Gen2, Azure Databricks, Azure
Machine Learning, Azure Service Bus, Azure Serverless (LogicApps, FunctionApps), Azure Data
Catalogue and Purview among other tools, gaining opportunities to learn some of the most
advanced and innovative techniques in the cloud data space.
You will be building Power BI based analytics solutions to provide actionable insights into customer
data, and to measure operational efficiencies and other key business performance metrics.
You will be involved in the development, build, deployment, and testing of customer solutions, with
responsibility for the design, implementation and documentation of the technical aspects, including
integration to ensure the solution meets customer requirements. You will be working closely with
fellow architects, engineers, analysts, and team leads and project managers to plan, build and roll
out data driven solutions
Expertise:
Proven expertise in developing data solutions with Azure SQL Server and Azure SQL Data Warehouse (now
Synapse Analytics)
Demonstrated expertise of data modelling and data warehouse methodologies and best practices.
Ability to write efficient data pipelines for ETL using Azure Data Factory or equivalent tools.
Integration of data feeds utilising both structured (ex XML/JSON) and flat schemas (ex CSV,TXT,XLSX)
across a wide range of electronic delivery mechanisms (API/SFTP/etc )
Azure DevOps knowledge essential for CI/CD of data ingestion pipelines and integrations.
Experience with object-oriented/object function scripting languages such as Python, Java, JavaScript, C#,
Scala, etc is required.
Expertise in creating technical and Architecture documentation (ex: HLD/LLD) is a must.
Proven ability to rapidly analyse and design solution architecture in client proposals is an added advantage.
Expertise with big data tools: Hadoop, Spark, Kafka, NoSQL databases, stream-processing systems is a plus.
Essential Experience:
5 or more years of hands-on experience in a data architect role with the development of ingestion,
integration, data auditing, reporting, and testing with Azure SQL tech stack.
full data and analytics project lifecycle experience (including costing and cost management of data
solutions) in Azure PaaS environment is essential.
Microsoft Azure and Data Certifications, at least fundamentals, are a must.
Experience using agile development methodologies, version control systems and repositories is a must.
A good, applied understanding of the end-to-end data process development life cycle.
A good working knowledge of data warehouse methodology using Azure SQL.
A good working knowledge of the Azure platform, it’s components, and the ability to leverage it’s
resources to implement solutions is a must.
Experience working in the Public sector or in an organisation servicing Public sector is a must,
Ability to work to demanding deadlines, keep momentum and deal with conflicting priorities in an
environment undergoing a programme of transformational change.
The ability to contribute and adhere to standards, have excellent attention to detail and be strongly driven
by quality.
Desirables:
Experience with AWS or google cloud platforms will be an added advantage.
Experience with Azure ML services will be an added advantage Personal Attributes
Articulated and clear in communications to mixed audiences- in writing, through presentations and one-toone.
Ability to present highly technical concepts and ideas in a business-friendly language.
Ability to effectively prioritise and execute tasks in a high-pressure environment.
Calm and adaptable in the face of ambiguity and in a fast-paced, quick-changing environment
Extensive experience working in a team-oriented, collaborative environment as well as working
independently.
Comfortable with multi project multi-tasking consulting Data Architect lifestyle
Excellent interpersonal skills with teams and building trust with clients
Ability to support and work with cross-functional teams in a dynamic environment.
A passion for achieving business transformation; the ability to energise and excite those you work with
Initiative; the ability to work flexibly in a team, working comfortably without direct supervision.

- Testing mobile devices to ensure their configuration, operation, and capabilities work efficiently.
- Working with device manufacturers, product managers, and development teams to test and optimize mobile products.
- Developing automated test scripts and frameworks for improved mobile app performance.
- Working with a variety of databases and coding programs, such as Objective-C, Java, HTML, as well as XML and JSON feeds.
- Updating operating systems, specifically iOS, Android, Blackberry, and WindowsPhone 7.
- Producing clear and concise test reports and releasing notes to co-workers when needed.
- Providing feedback to development teams on technical, troubleshooting, or operational issues.
- Assisting with the configuration of test environments.
- Suggesting new processes and policies to improve mobile development techniques.
Mobile Test Engineer Requirements:
- Bachelors in engineering, computer science, computer engineering, information technology, or a similar degree.
- At least 3 years experience in mobile application testing and development.
- Working knowledge of mobile operating systems such as iOS and Android.
- Experience in developing automated test scripts.
- Ability to develop software applications using programming or scripting languages such as Java and HTML.
- Experience in using configuration management or version control tools.
- Strong communication and interpersonal skills.
- Ability to meet challenging deadlines and work in a fast-paced environment.



Pipelines should be optimised to handle both real time data, batch update data and historical data.
Establish scalable, efficient, automated processes for complex, large scale data analysis.
Write high quality code to gather and manage large data sets (both real time and batch data) from multiple sources, perform ETL and store it in a data warehouse.
Manipulate and analyse complex, high-volume, high-dimensional data from varying sources using a variety of tools and data analysis techniques.
Participate in data pipelines health monitoring and performance optimisations as well as quality documentation.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.
Job Requirements :-
2+ years experience working in software development & data pipeline development for enterprise analytics.
2+ years of working with Python with exposure to various warehousing tools
In-depth working with any of commercial tools like AWS Glue, Ta-lend, Informatica, Data-stage, etc.
Experience with various relational databases like MySQL, MSSql, Oracle etc. is a must.
Experience with analytics and reporting tools (Tableau, Power BI, SSRS, SSAS).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business client.
Knowledge of Logistics and/or Transportation Domain is a plus.
Hands-on with traditional databases and ERP systems like Sybase and People-soft.

We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help
businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed.
How we work
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At
serious scale! Read more on Become a DataWeaver
What do we offer?
- Opportunity to work on some of the most compelling data products that we are building for online retailers and brands.
- Ability to see the impact of your work and the value you are adding to our customers almost immediately.
- Opportunity to work on a variety of challenging problems and technologies to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Roles and Responsibilities:
● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics
functionality
● Build robust RESTful APIs that serve data and insights to DataWeave and other products
● Design user interaction workflows on our products and integrating them with data APIs
● Help stabilize and scale our existing systems. Help design the next generation systems.
● Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
● Work closely with the Head of Products and UX designers to understand the product vision and design
philosophy
● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and
interns.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope.
Skills and Requirements:
● 5-7 years of experience building and scaling APIs and web applications.
● Experience building and managing large scale data/analytics systems.
● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices.
● Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python.
● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic.
● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc.
● Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies.
● Working knowledge linux server administration as well as the AWS ecosystem is desirable.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

