Operation Executive

Type: Client-Facing Technical Architecture, Infrastructure Solutioning & Domain Consulting (India + International Markets)

Role Overview

Tradelab is seeking a senior Solution Architect who can interact with both Indian and international clients (Dubai, Singapore, London, US), helping them understand our trading systems, OMS/RMS/CMS stack, HFT platforms, feed systems, and Matching Engine. The architect will design scalable, secure, and ultra-low-latency deployments tailored to global forex markets, brokers, prop firms, liquidity providers, and market makers.

Key Responsibilities

1. Client Engagement (India + International Markets)

• Engage with brokers, prop trading firms, liquidity providers, and financial institutions across India, Dubai, Singapore, and global hubs.
• Explain Tradelab’s capabilities, architecture, and deployment options.
• Understand region-specific latency expectations, connectivity options, and regulatory constraints.

2. Requirement Gathering & Solutioning

• Capture client needs, throughput, order concurrency, tick volumes, and market data handling.
• Assess infra readiness (cloud/on-prem/colo).
• Propose architecture aligned with forex markets.

3. Global Architecture & Deployment Design

• Design multi-region infrastructure using AWS/Azure/GCP.
• Architect low-latency routing between India–Singapore–Dubai.
• Support deployments in DCs like Equinix SG1/DX1.

4. Networking & Security Architecture

• Architect multicast/unicast feeds, VPNs, IPSec tunnels, BGP routes.
• Implement network hardening, segmentation, WAF/firewall rules.

5. DevOps, Cloud Engineering & Scalability

• Build CI/CD pipelines, Kubernetes autoscaling, cost-optimized AWS multi-region deployments.
• Design global failover models.

6. BFSI & Trading Domain Expertise

• Indian broking, international forex, LP aggregation, HFT.
• OMS/RMS, risk engines, LP connectivity, and matching engines.

7. Latency, Performance & Capacity Planning

• Benchmark and optimize cross-region latency.
• Tune performance for high tick volumes and volatility bursts.

8. Documentation & Consulting

• Prepare HLDs, LLDs, SOWs, cost sheets, and deployment of playbooks.
• Required Skills
• AWS: EC2, VPC, EKS, NLB, MSK/Kafka, IAM, Global Accelerator.
• DevOps: Kubernetes, Docker, Helm, Terraform.
• Networking: IPSec, GRE, VPN, BGP, multicast (PIM/IGMP).
• Message buses: Kafka, RabbitMQ, Redis Streams.

Domain Skills

• Deep Broking Domain Understanding.
• Indian broking + global forex/CFD.
• FIX protocol, LP integration, market data feeds.
• Regulations: SEBI, DFSA, MAS, ESMA.

Soft Skills

• Excellent communication and client-facing ability.
• Strong presales and solutioning mindset.
• Preferred Qualifications
• B.Tech/BE/M.Tech in CS or equivalent.
• AWS Architect Professional, CCNP, CKA.

Why Join Us?

• Experience in colocation/global trading infra.
• Work with a team that expects and delivers excellence.
• A culture where risk-taking is rewarded, and complacency is not.
• Limitless opportunities for growth—if you can handle the pace.
• A place where learning is currency, and outperformance is the only metric that matters.
• The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.

This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.

Engineering Manager Responsibilities:

• Platform stability and smooth functioning on a day to day basis.
• Proposing and managing budgets for projects and for growth.
• Supervising the work of multiple teams (build, test, infrastructure).
• Planning and executing strategies for completing projects on time.
• Identifying potential roadblocks and building contingency plans.
• Quickly dealing with bugs and breaks in the operational environment.
• Determining the need for training and talent development.
• Team building.
• Product launch with management buyin.
• Providing clear and concise instructions to engineering teams.

Engineering Manager Requirements:

• Bachelor's / Masters degree in CS or related.
• 8 t0 12 years' engineering experience.
• Proven supervisory and technical skills.
• Capable of working in an unsupervised agile environment.
• Must come highly-recommended.

What you need to have:

About LodgIQ

LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.

Title : Data Scientist

• Apply Data Science and Machine Learning to a REAL-LIFE  problem  - “Predict Guest Arrivals and Determine Best Prices for Hotels”
• Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
• Help scale up the product in a global offering across 100+  global markets

• Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization.    Student projects are acceptable.
• At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
•   Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
•   Solid grasp over  optimization techniques
•   Master's  or PhD degree in Business Analytics.  Data science, Statistics or Mathematics
•   Ability to show a track record of solving large, complex problems

About the Role

The Dremio India team owns the DataLake Engine along with Cloud Infrastructure and services that power it. With focus on next generation data analytics supporting modern table formats like Iceberg, Deltalake, and open source initiatives such as Apache Arrow, Project Nessie and hybrid-cloud infrastructure, this team provides various opportunities to learn, deliver, and grow in career. We are looking for technical leaders with passion and experience in architecting and delivering high-quality distributed systems at massive scale.

Responsibilities & ownership

• Lead end-to-end delivery and customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product
• Lead and mentor others about concurrency, parallelization to deliver scalability, performance and resource optimization in a multithreaded and distributed environment
• Propose and promote strategic company-wide tech investments taking care of business goals, customer requirements, and industry standards
• Lead the team to solve complex, unknown and ambiguous problems, and customer issues cutting across team and module boundaries with technical expertise, and influence others
• Review and influence designs of other team members 
• Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure
• Partner with other leaders to nurture innovation and engineering excellence in the team
• Drive priorities with others to facilitate timely accomplishments of business objectives
• Perform RCA of customer issues and drive investments to avoid similar issues in future
• Collaborate with Product Management, Support, and field teams to ensure that customers are successful with Dremio
• Proactively suggest learning opportunities about new technology and skills, and be a role model for constant learning and growth

Requirements

• B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
• Fluency in Java/C++ with 15+ years of experience developing production-level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models and their use in developing distributed and scalable systems
• 8+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
• Subject Matter Expert in one or more of query processing or optimization, distributed systems, concurrency, micro service based architectures, data replication, networking, storage systems
• Experience in taking company-wide initiatives, convincing stakeholders, and delivering them
• Expert in solving complex, unknown and ambiguous problems spanning across teams and taking initiative in planning and delivering them with high quality
• Ability to anticipate and propose plan/design changes based on changing requirements 
• Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
• Passion for learning and delivering using latest technologies
• Hands-on experience of working projects on AWS, Azure, and GCP 
• Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure,  and GCP) 
• Understanding of distributed file systems such as  S3, ADLS or HDFS
• Excellent communication skills and affinity for collaboration and teamwork