Software Architect/Solution Architect/CTO

Job Description: 

•  Location - Bangalore / Mumbai
• Notice period - Immediate to serving up to - oct 1st week
• Exp. - must be 5 -12 yrs 
• Experience in Core Java 5.0 and above, CXF, Spring. 
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns. 
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications. 
• Good Experience into Microservices , Data structures , Oops , Algorithms, multithreading etc 
• Good development experience with RDBMS, preferably Sybase database. 
• Good knowledge of multi-threading and high-volume server-side development. 
• Experience in sales and trading platforms in investment banking/capital markets. 
• Basic working knowledge of Unix/Linux. 
• Experience into High /Low level designing. 
• Excellent problem solving and coding skills in Java. 
• Strong interpersonal, communication and analytical skills. 
• Should have the ability to express their design ideas and thoughts. 

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What We Expect:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and

a deep interest in scalable, low-latency systems.

• You should have 3–4 years of experience in Python-based development and be eager to solve complex

performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 3–4 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Experience with GoLang, C/C++, Erlang, or Elixir.

• Exposure to trading, fintech, or low-latency systems.

• Familiarity with microservices and CI/CD pipelines.

At Palcode.ai, We're on a mission to fix the massive inefficiencies in pre-construction. Think about it - in a $10 trillion industry, estimators still spend weeks analyzing bids, project managers struggle with scattered data, and costly mistakes slip through complex contracts. We're fixing this with purpose-built AI agents that work. Our platform can do “magic” to Preconstruction workflows from Weeks to Hours. It's not just about AI – it's about bringing real, measurable impact to an industry ready for change. We are backed by names like AWS for Startups, Upekkha Accelerator, and Microsoft for Startups.

Why Palcode.ai

Tackle Complex Problems: Build AI that reads between the lines of construction bids, spots hidden risks in contracts, and makes sense of fragmented project data

High-Impact Code: Your code won't sit in a backlog – it goes straight to estimators and project managers who need it yesterday

Tech Challenges That Matter: Design systems that process thousands of construction documents, handle real-time pricing data, and make intelligent decisions

Build & Own: Shape our entire tech stack, from data processing pipelines to AI model deployment

Quick Impact: Small team, huge responsibility. Your solutions directly impact project decisions worth millions

Learn & Grow: Master the intersection of AI, cloud architecture, and construction tech while working with founders who've built and scaled construction software

Your Role:

• Design and build our core AI services and APIs using Python
• Create reliable, scalable backend systems that handle complex data
• Help set up cloud infrastructure and deployment pipelines
• Collaborate with our AI team to integrate machine learning models
• Write clean, tested, production-ready code

You'll fit right in if:

• 6 months of live project experience on Python development experience
• Minimum of 1 full-time internship for Python > 3 months
• You're comfortable with full-stack development and cloud services
• You write clean, maintainable code and follow good engineering practices
• You're curious about AI/ML and eager to learn new technologies
• You enjoy fast-paced startup environments and take ownership of your work

How we will set you up for success

• You will work closely with the Founding team to understand what we are building.
• You will be given comprehensive training about the tech stack, with an opportunity to avail virtual training as well.
• You will be involved in a monthly one-on-one with the founders to discuss feedback
• A unique opportunity to learn from the best - we are Gold partners of AWS, Razorpay, and Microsoft Startup programs, having access to rich talent to discuss and brainstorm ideas.
• You’ll have a lot of creative freedom to execute new ideas. As long as you can convince us, and you’re confident in your skills, we’re here to back you in your execution.
• 
  

Location: Remote

Compensation: 15K -18K for 4 -6 months of Probation Period

2.5 L - 3 LPA after Probation

If you get excited about solving hard problems that have real-world impact, we should talk.

All the best!!

Read less

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

Experience:

○ 2-4 years of hands-on experience with Microsoft Power Automate (Flow).

○ Experience with Power Apps, Power BI, and Power Platform technologies.

○ Experience in integrating REST APIs, SOAP APIs, and custom connectors.

○ Proficiency in using tools like Microsoft SharePoint, Azure, and Dataverse.

○ Familiarity with Microsoft 365 apps like Teams, Outlook, and Excel.

● Technical Skills:

○ Knowledge of JSON, OData, HTML, JavaScript, and other web-based technologies.

○ Strong understanding of automation, data integration, and process optimization.

○ Experience with D365 (Dynamics 365) and Azure Logic Apps is a plus.

○ Proficient in troubleshooting, problem-solving, and debugging automation workflows.

● Soft Skills:

○ Excellent communication skills to liaise with stakeholders and technical teams.

○ Strong analytical and problem-solving abilities.

○ Self-motivated and capable of working independently as well as part of a team.

Educational Qualifications:

● Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical

experience).

Good to have Qualifications:

● Microsoft Certified: Power Platform certifications (e.g., Power Platform Functional Consultant, Power Automate RPA

Developer) would be advantageous.

● Experience with Agile or Scrum methodologies.

Stable Money presents a great opportunity to be a part of the founding team and participate in the 0 to 1 journey If you have at least 6 years of experience and you're someone who's all about distributed architectures, system design wizardry, and making Go or Java dance to your tune, read on!

What We’re Looking For:

Architecting Marvels: Designing and implementing scalable, resilient distributed systems that make our platform sing.

Coding Ninjutsu: Crafting elegant, efficient code in Go and/or Java that runs like clockwork.

Keeping Watch: Hands-on with monitoring and troubleshooting using open-source Observability stack—think Loki, Grafana, and all things metrics.

Cloud Whisperer: Leveraging core AWS services to build and maintain robust infrastructure that never sleeps.

Pipeline Maestro: Setting up and optimising CI/CD pipelines to keep our deployment game strong.

Mentoring Mastery: Guiding and mentoring junior engineers, sharing your wisdom and helping them grow into future stars.

Bonus Points:

Startup Savvy: Thrived in the fast-paced, dynamic environment of a startup.

Fintech Finesse: Familiarity with the unique challenges and regulations of the fintech industry.

If you're excited about joining a dynamic team where you can architect, code, mentor, and innovate, send us your resume! Let's chat about how you can help us revolutionize the fintech space. 🚀

A tick against the following skill sets would surely strengthen the candidature

• Strong PHP, JS fundamentals
• PHP frameworks: PHP Laravel
• JS frameworks: Vue.JS
• RDBMS: MySQL, Mongo DB

• Have at least 3 years work experience in Java 8 or higher / J2EE Java development.

• Have experience of agile systems development methodologies such as SCRUM
• Experience in designing the solution and implementation.
• Is a communicative, positive, outgoing and driven team player.
• Solution-oriented, see opportunities and proactively proposing new solutions, speak and write fluently in English.
• Good to have certifications in Java, Spring etc.
• Experience in Java 8.

• Experience in Spring Boot and other spring framework like Spring data, AOP etc.
• Experience in MongoDB/ Kafka / RabbitMQ etc.
• Experience in REST API
• Have worked on microservices
• Should have worked on minimum 2- 3 projects
• Experience in writing effective Unit test case for better coverage.
• Experience in writing good quality code by following code quality tools likes SonarQube etc.