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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.
We are a managed video calling solution built on top of WebRTC, which allows it's
customers to integrate live video-calls within existing solutions in less than 10 lines of
code. We provide a completely managed SDK that solves the problem of battling
endless cases of video calling APIs.
Location - Bangalore (Remote)
Experience - 3+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
In-depth knowledge and hands-on experience with all of the AWS services and other similar cloud services
Strong knowledge of core architectural concepts including distributed computing , scalability, availability, and performance to recommend the best backend solutions for our products
Preferred AWS Certifications:
- AWS Solutions Architect Professional/Associate AWS DevOps Engineer Professional
- AWS SysOps Administrator - Associate AWS Developer Associate
Key Skills
- ITCAN is looking for an AWS Solution Architect who will be responsible for development of scalable, optimized, and reliable backend solutions using AWS services for all our products. You will ensure that our products consume AWS services in the mast effective methods. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.
Responsibilities:
- Analyse requirements and devise innovative, efficient, and cost-effective architecture using AWS components and services that ensure scalability, availability and high- performance.
- Develop automation and deployment utilities using Ruby, Bash and Shell scripting and implementing
- CI/CD pipelines using Jenkins, Code Deploy, Git, Code Pipeline, Code Commit etc. To ensure seamless deployment with no downtime.
- Redesign architectures end Lo-end seamlessly by working through major software upgrades such as Apache.
- Ensure an always-running network with the ability to set up redundant DNS systems with failover capabilities.
- Ensure the AWS services consumed are aligned with best practices to ensure higher availability and security along with optimal cost utilization.
- Using AWS-managed services, implement ELK systems end-to-end.
3-5 years of experience in DevOps, systems administration, or software engineering roles.
B. Tech. in computer science or related field from top tier engineering colleges.
Strong technical skills in software development, systems administration, and cloud infrastructure management.
Experience with infrastructure-as-code tools such as Terra form or Cloud Formation.
Experience with containerization technologies such as Dockers and Kubernetes.
Experience with cloud providers such as AWS or Azure.
Experience with scripting languages such as Bash or Python.
Strong problem-solving and analytical skills.
Strong communication and collaboration skills
· 4+ years of experience as a Python Developer.
· Good Understanding of Object-Oriented Concepts and Solid principles.
· Good Understanding in Programming and analytical skills.
· Should have hands on experience in AWS Cloud Service like S3, Lambda functions Knowledge. (Must Have)
· Should have experience Working with large datasets (Must Have)
· Proficient in using NumPy, Pandas. (Must Have)
· Should have hands on experience on Mysql (Must Have)
· Should have experience in debugging Python applications (Must have)
· Knowledge of working on Flask.
· Knowledge of object-relational mapping (ORM).
· Able to integrate multiple data sources and databases into one system
· Proficient understanding of code versioning tools such as Git, SVN
· Strong at problem-solving and logical abilities
· Sound knowledge of Front-end technologies like HTML5, CSS3, and JavaScript
· Strong commitment and desire to learn and grow.
Digital Media Marketing
The Digital Marketing, Online Marketing, and Digital Promotion specialist will be responsible for developing and executing marketing campaigns across a variety of online platforms, including Digital media, email, and the company website. This individual will work closely with the marketing team to identify target audiences and develop strategies to reach and engage potential customers.
Roles and Responsibilities
- Developing and implementing Digital Media Marketing campaigns to increase brand awareness and drive website traffic.
- Managing the company's media accounts and creating engaging content for a variety of platforms, including LinkedIn.
- Utilizing email marketing and automation tools to create and send targeted campaigns to potential customers.
- Developing and executing digital promotion campaigns, including paid advertising on Digital media platforms and search engines.
- Analyzing and reporting on the effectiveness of marketing campaigns using tools such as Google Analytics.
- Collaborating with the marketing team to develop and implement brand management strategies.
- Assisting with the development and execution of online advertisement campaigns, including banner ads and display ads.
- Utilizing SEO techniques to improve the company's search engine ranking and drive traffic to the website.
Perks and Benefits
- 6 Day Working (Monday-Saturday)
- Flexi Working Hours.
- Work from Home available (Need Basis)
- Salary is always on time.
- The best work Culture.
- The Best Working Environment.
- Alter Saturday leave
We are an early stage start-up, building new fintech products for small businesses. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the vision to empower small business owners with technology and dramatically improve their access to financial services. To start with, we are building a simple, yet powerful solution to address a deep pain point for these owners: cash flow management. Over time, we will also add digital banking and 1-click financing to our suite of offerings.
We have developed an MVP which is being tested in the market. We have closed our seed funding from marquee global investors and are now actively building a world class tech team. We are a young, passionate team with a strong grip on this space and are looking to on-board enthusiastic, entrepreneurial individuals to partner with us in this exciting journey. We offer a high degree of autonomy, a collaborative fast-paced work environment and most importantly, a chance to create unparalleled impact using technology.
Reach out if you want to get in on the ground floor of something which can turbocharge SME banking in India!
Technology stack at Velocity comprises a wide variety of cutting edge technologies like, NodeJS, Ruby on Rails, Reactive Programming,, Kubernetes, AWS, NodeJS, Python, ReactJS, Redux (Saga) Redis, Lambda etc.
Key Responsibilities
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Responsible for building data and analytical engineering pipelines with standard ELT patterns, implementing data compaction pipelines, data modelling and overseeing overall data quality
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Work with the Office of the CTO as an active member of our architecture guild
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Writing pipelines to consume the data from multiple sources
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Writing a data transformation layer using DBT to transform millions of data into data warehouses.
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Implement Data warehouse entities with common re-usable data model designs with automation and data quality capabilities
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Identify downstream implications of data loads/migration (e.g., data quality, regulatory)
What To Bring
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5+ years of software development experience, a startup experience is a plus.
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Past experience of working with Airflow and DBT is preferred
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5+ years of experience working in any backend programming language.
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Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL
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Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)
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Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects
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Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure
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Basic understanding of Kubernetes & docker is a must.
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Experience in data processing (ETL, ELT) and/or cloud-based platforms
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Working proficiency and communication skills in verbal and written English.











