Linux Administrator

Relationship Manager – Insurance Sales.

Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained. 

Achieving Sales Target

Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills. 

Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities. 

Building and maintaining strong relationships with agents, providing support and addressing their needs. 

Tracking agent performance, identifying areas for improvement.

Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability. 

Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network. 

Required skills

• Proven working experience as an Insurance Agent or relevant experience from Broking Industry Insurance
• Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
• Basic computer knowledge and statistical analysis

Job Description :

- Strong understanding of the Ruby programming language and Rails framework

- Proficiency in Javascript including experience with React, Angular or Vue

- Database understanding (Postgres/MySQL)

- Previous experience maintaining production applications

- Focus on writing clear, maintainable, tested code.

Skills Required :

- Navigating and understanding a large codebase

- Experience with Git continuous integration and regular deployments

- Understanding and appreciation for UX and usability

- Excellent communication skills and diligent ability to contribute to the team by performing code reviews,

- Writing tests using Rspec and Capybara.

Required Skills & Qualifications:

✔ Experience: 4+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

Bachelor’s degree in Marketing, Mass Communication, Digital Media, or related field.

3–5 years of experience in social media management, preferably with ecommerce/D2C brands.

Strong knowledge of social media platforms, trends, and tools (Meta Business Suite, Hootsuite, Canva, etc.).

Proven track record of growing social channels and executing campaigns.

Excellent verbal and written communication skills.

Creative thinker with an eye for detail and design aesthetics.

Basic understanding of performance marketing & analytics.

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.

Skills: Basic programming knowledge, Responsiveness Of All devices IPad ,Mobile,Tablet Laptop all resolution

Job Description:

Creative with design skills In hand HTML5.CSS3, Bootstrap, JS and Jquery.

Candidate should be able to develop logic and code independently.

Need to understand the client requirement and try to make creative design for the client.

Must good knowledge of PHOTOSHOP, HTML, CSS. Bootstrap, JavaScript, responsive structure.

Should be able to work Jquery and JS +points.

Should be able to deployment of Live Server.

Location :- Gomti Nagar, Lucknow

Work from office:- 9:30AM - 6:30 PM

Minimum 4 to 10 years of experience in testing distributed backend software architectures/systems.

• 4+ years of work experience in test planning and automation of enterprise software

• Expertise in programming using Java or Python and other scripting languages.

• Experience with one or more public clouds is expected.

• Comfortable with build processes, CI processes, and managing QA Environments as well as working with build management tools like Git, and Jenkins

. • Experience with performance and scalability testing tools.

• Good working knowledge of relational databases, logging, and monitoring frameworks is expected.

Familiarity with system flow like how they interact with an application Eg. Elasticsearch, Mongo, Kafka, Hive, Redis, AWS