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Job Description Back-End Developer, Portfolio Management System Dedicated Engagement — Hurricane Capital Role Snapshot Engagement: Dedicated resource, employed/contracted through Transient.AI, invoiced to Hurricane Capital. 100% committed to Hurricane's work — not shared across accounts. Level: Mid-Level back-end developer (not junior, not principal). Location: Remote. Onshore or offshore, but must work U.S. East Coast hours. Type: Full-time, dedicated. Start: As soon as possible. MVP target: end of year. Works with: Rob and Rehan (Hurricane), plus Transient-side engineering for code review. The Work Hurricane Capital is building a portfolio management system from the ground up. This is fully Greenfield — the infrastructure does not exist yet, so you are building it, not maintaining someone else's. The immediate focus is Bloomberg connectivity and the Python back-end that market data flows through. You will be a dedicated engineer for Hurricane, working alongside Rob and Rehan in real time. Because the codebase lives on the Transient side and is reviewed before merge, you will also coordinate directly with Transient engineering. What You'll Own ● Build back-end services and APIs in Python from scratch for the portfolio management system. ● Implement and troubleshoot Bloomberg API connectivity for market data ingestion. ● Design and maintain the data layer — Postgres and SQL, with Snowflake as the cloud data warehouse. ● Work with Azure cloud infrastructure as the system requires. ● Collaborate live over Teams during East Coast hours to co-work and troubleshoot with Rob and Rehan. ● Coordinate with Transient engineering on code review and merges into the shared codebase. What Good Looks Like ● A working MVP of the portfolio management system is delivered by end of year, built in parallel with existing workstreams. ● Bloomberg connectivity is completed and stable, with market data flowing reliably through the Python APIs. ● Hurricane's work moves in real time — no waiting on cross-account turnaround, because this capacity is dedicated. ● Code clears Transient-side review cleanly, with trust established during hiring so there is no gating delay. Must Have ● Strong Python for back-end and API development. ● Hands-on Bloomberg API experience. ● Ability to work U.S. East Coast hours consistently (non-negotiable — daily live collaboration depends on it). ● Database experience: SQL and Postgres. Strong Plus ● Snowflake (cloud data warehouse). ● Azure cloud experience. ● JavaScript. ● Familiarity with capital markets or market data products. Nice for Later The MVP does not require AI/ML work. Over time the system is expected to move in that direction, so appetite to learn and grow into AI-enabled features is a genuine plus — and part of what makes this role interesting. Why This Role ● Completely Greenfield — you build the entire infrastructure from the ground up, not patch an existing system. ● Dedicated to one team, working directly with Rob and Rehan rather than split across clients. ● A clear path to grow into AI-enabled portfolio management as the system matures.

Job Title : Senior Python Developer

Experience : 7+ Years

Location : Remote or Hybrid (Gurgaon / Coimbatore / Hyderabad)

Job Summary :

We are looking for a highly skilled and motivated Senior Python Developer to join our dynamic engineering team.

The ideal candidate will have a strong foundation in web application development using Python and related frameworks. A passion for writing clean, scalable code and solving complex technical challenges is essential for success in this role.

Mandatory Skills : Python (3.x), FastAPI or Flask, PostgreSQL or Oracle, ORM, API Microservices, Agile Methodologies, Clean Code Practices.

Required Skills and Qualifications :

• 7+ Years of hands-on experience in Python (3.x) development.
• Strong proficiency in FastAPI or Flask frameworks.
• Experience with relational databases like PostgreSQL, Oracle, or similar, along with ORM tools.
• Demonstrated experience in building and maintaining API-based microservices.
• Solid grasp of Agile development methodologies and version control practices.
• Strong analytical and problem-solving skills.
• Ability to write clean, maintainable, and well-documented code.

Nice to Have :

• Experience with Google Cloud Platform (GCP) or other cloud providers.
• Exposure to Kubernetes and container orchestration tools.

Job Title : Senior Consultant (Java / NodeJS + Temporal)

Experience : 5 to 12 Years

Location : Bengaluru, Chennai, Hyderabad, Pune, Mumbai, Gurugram, Coimbatore

Work Mode : Remote (Must be open to travel for occasional team meetups)

Notice Period : Immediate Joiners or Serving Notice

Interview Process :

• R1 : Tech Interview (60 mins)
• R2 : Technical Interview
• R3 : (Optional) Interview with Client

Job Summary :

We are seeking a Senior Backend Consultant with strong hands-on expertise in Temporal (BPM/Workflow Engine) and either Node.js or Java.

The ideal candidate will have experience in designing and developing microservices and process-driven applications, as well as orchestrating complex workflows using Temporal.io.

You will work on high-scale systems, collaborating closely with cross-functional teams.

Mandatory Skills :

Temporal.io, Node.js (or Java), React.js, Keycloak IAM, PostgreSQL, Terraform, Kubernetes, Azure, Jest, OpenAPI

Key Responsibilities :

• Design and implement scalable backend services using Node.js or Java.
• Build and manage complex workflow orchestrations using Temporal.io.
• Integrate with IAM solutions like Keycloak for role-based access control.
• Work with React (v17+), TypeScript, and component-driven frontend design.
• Use PostgreSQL for structured data persistence and optimized queries.
• Manage infrastructure using Terraform and orchestrate via Kubernetes.
• Leverage Azure Services like Blob Storage, API Gateway, and AKS.
• Write and maintain API documentation using Swagger/Postman/Insomnia.
• Conduct unit and integration testing using Jest.
• Participate in code reviews and contribute to architectural decisions.

Must-Have Skills :

• Temporal.io – BPMN modeling, external task workers, Operate, Tasklist
• Node.js + TypeScript (preferred) or strong Java experience
• React.js (v17+) and component-driven UI development
• Keycloak IAM, PostgreSQL, and modern API design
• Infrastructure automation with Terraform, Kubernetes
• Experience in using GitFlow, OpenAPI, Jest for testing

Nice-to-Have Skills :

• Blockchain integration experience for secure KYC/identity flows
• Custom Camunda Connectors or exporter plugin development
• CI/CD experience using Azure DevOps or GitHub Actions
• Identity-based task completion authorization enforcement

Key Responsibilities

AI/ML & Python Development

• Design, develop, and integrate AI-powered solutions and intelligent features using Python.
• Build and implement Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge retrieval and contextual AI responses.
• Develop AI applications using modern frameworks and tools such as LangChain, LlamaIndex, and AI Agents/Autonomous Workflows.
• Integrate Large Language Model (LLM) APIs, including OpenAI and similar platforms, into enterprise-grade applications.
• Design, implement, and manage vector databases to enable semantic search and AI-driven information retrieval.
• Collaborate with cross-functional teams to evaluate, fine-tune, and optimize AI models for performance, scalability, and accuracy.
• Stay updated with emerging AI technologies, frameworks, and industry best practices to drive innovation.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

About the Role

At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.

This role sits at the intersection of pre-sales, solutioning, and delivery governance.

What You'll Do

• Own end-to-end solutioning from client discovery to architecture design
• Partner with pre-sales teams on RFPs, proposals, and client presentations
• Define architectures for LLM integrations, RAG pipelines, and agentic workflows
• Conduct architecture reviews and technical assessments for ongoing projects
• Act as a trusted technical advisor to enterprise clients during pre-sales

Key Skills

• Python, REST APIs, Microservices, Distributed Systems
• AWS / Azure / GCP, Docker, Kubernetes, CI/CD
• LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
• Enterprise data architecture and integration patterns
• Strong client communication and presentation skills

Who You Are

• Client-first mindset — listens, understands, and translates business pain into technical clarity
• Strong communicator comfortable with C-level stakeholders
• High ownership — accountable for every solution you sign off on
• Collaborative across sales, delivery, and engineering

What We Offer

• Flexible work environment
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs)
• Exposure to global clients and high-impact pre-sales engagements
• A culture of clarity, integrity, and continuous growth

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Job Title: Deployment Lead (Python, Linux, AWS) 

Location: Coimbatore

Overview 

We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments. 

Key Responsibilities 

• Lead and manage deployment activities for all application releases across development, staging, and production environments. 
• Develop and maintain deployment automation, scripts, and tools using Python and shell scripting. 
• Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline). 
• Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening. 
• Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform). 
• Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK. 
• Collaborate with developers to improve code readiness for deployment and production reliability. 
• Manage environment configurations and ensure consistency and version control across environments. 
• Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes. 
• Establish and enforce best practices for deployment, configuration management, and operational excellence. 

Required Skills & Qualifications 

• 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles. 
• Strong proficiency in Python for automation and tooling. 
• Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux). 
• Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform). 
• Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes. 
• Strong understanding of CI/CD tools and automated deployment strategies. 
• Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing. 
• Expertise with monitoring, alerting, and logging solutions. 
• Strong problem-solving and analytical skills; able to lead troubleshooting efforts. 
• Excellent communication and leadership abilities.