Jenkins
Amazon Web Services (AWS)
Docker
Kubernetes
Python
grafanaAbout 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.
Key Responsibilities
CI/CD and Infrastructure Automation
- Design, implement, and maintain CI/CD pipelines to support fast and reliable releases
- Automate deployments using tools such as Terraform, Helm, and Kubernetes
- Improve build and release processes to support high-performance and low-latency trading applications
- Work efficiently with Linux/Unix environments
Cloud and On-Prem Infrastructure Management
- Deploy, manage, and optimize infrastructure on AWS, GCP, and on-premises environments
- Ensure system reliability, scalability, and high availability
- Implement Infrastructure as Code (IaC) to standardize and streamline deployments
Performance Monitoring and Optimization
- Monitor system performance and latency using Prometheus, Grafana, and ELK stack
- Implement proactive alerting and fault detection to ensure system stability
- Troubleshoot and optimize system components for maximum efficiency
Security and Compliance
- Apply DevSecOps principles to ensure secure deployment and access management
- Maintain compliance with financial industry regulations such as SEBI
- Conduct vulnerability assessments and maintain logging and audit controls
Required Skills and Qualifications
- 2+ years of experience as a DevOps Engineer in a software or trading environment
- Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD)
- Proficiency in cloud platforms such as AWS and GCP
- Hands-on experience with Docker and Kubernetes
- Experience with Terraform or CloudFormation for IaC
- Strong Linux administration and networking fundamentals (TCP/IP, DNS, firewalls)
- Familiarity with Prometheus, Grafana, and ELK stack
- Proficiency in scripting using Python, Bash, or Go
- Solid understanding of security best practices including IAM, encryption, and network policies
Good to Have (Optional)
- Experience with low-latency trading infrastructure or real-time market data systems
- Knowledge of high-frequency trading environments
- Exposure to FIX protocol, FPGA, or network optimization techniques
- Familiarity with Redis or Nginx for real-time data handling
Why Join Us?
- 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Tradelab Technologies
About
TradeLab is a leading fintech technology provider, delivering cutting-edge solutions to brokers, banks, and fintech platforms. Our portfolio includes high-performance Order & Risk Management Systems (ORMS), seamless MetaTrader integrations, AI-driven customer engagement platforms such as PULSE LLaVA, and compliance-grade risk management solutions. With a proven track record of successful deployments at top-tier brokerages and financial institutions, TradeLab combines scalability, regulatory alignment, and innovation to redefine digital broking and empower clients in the capital markets ecosystem.
Candid answers by the company
Bangalore/Mumbai
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- Industry: Consumer Internet, Technology & Travel and Tourism Platform
- Function - IT
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- Job Location: Bengaluru
- CTC Range: Best in Industry
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- Strong Lead DevOps / Infrastructure Engineer Profiles.
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Apply Here - https://tinyurl.com/t6x23p9b
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DockerKubernetesAmazon Web Services (AWS)Job Responsibilities:
Section 1 -
- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
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Section 2 -
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Section 3 -
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Section 4 -
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- Kubernetes and containers knowledge
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- Own and manage the site reliability
- Strong decision-making skills and metric-driven approach
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Implementing automation tools(Ansible, Jenkins) for deployment and provisioning IT infrastructure
Excellent troubleshooting of cloud systems.
Awareness of critical concepts in DevOps principles.
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KubernetesDockerAmazon Web Services (AWS)- 5+ years hands-on experience with designing, deploying and managing core AWS services and infrastructure
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- Good writing and documentation skills
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Competitive salary and stock options -
Premium medical benefits
LOCATION: - Remote (India)
EDUCATION AND EXPERIENCE -
Degree in computer science, software engineering, or a related field -
At least 3-5 years of professional work experience as a
DevOps / test automation / deployment engineer -
Experience in agile software development methodologies
JOB RESPONSIBILITIES: -
Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases -
Generate release notes, user guides, technical documentation -
Perform upgrades/ downgrades (patch management) -
Generate and Manage configurations -
Suggest process improvements by interfacing with product owner -
File process/installation/deployment related issues & tracking them -
Verify customer-reported issues and translate them into technical tasks for development
REQUIREMENTS:
Following are must to have requirements, -
Automation frameworks like Selenium etc. -
Scripting languages like Perl, Python etc. -
Linux systems -
Version control system like git -
Issue tracking system like Jira -
Networking protocols -
Cloud infrastructure -
Ability to work individually and as part of a team with a sense of urgency -
Excellent communication skills in written and verbal English -
Great attention to detail
PREFERRED:
Following are good to have requirements, -
Knowledge in any of the programming languages like C, C++ etc.
Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure -
Familiarity with machine learning / artificial intelligence infrastructure -
Experience in data visualization and statistics -
Basic knowledge of hardware infrastructure containing routers, switches and others -
Familiarity with web & data securityDesign and development of scalable software test framework to automate test
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon