
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.
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.

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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General Description:
Owns all technical aspects of software development for assigned applications.
Participates in the design and development of systems & application programs.
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.
Required Skills:
In depth experience configuring and administering EKS clusters in AWS.
In depth experience in configuring **DataDog** in AWS environments especially in **EKS**
In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**
In depth knowledge of observability concepts and strong troubleshooting experience.
Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.
Experience in **Terraform** and Infrastructure as code.
Experience in **Helm**
Strong scripting skills in Shell and/or python.
Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
Must have a good understanding of cloud concepts (Storage /compute/network).
Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.
Experience with Git and GitHub.
Proficient in developing and maintaining technical documentation, ADRs, and runbooks.
At Egnyte we build and maintain our flagship software: a secure content platform used by companies like Red Bull and Yamaha.
We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.
We have 300+ engineers spread across the US, Poland, and India.
You will be part of our DevOps Team working closely with our DBA team in automating, monitoring, and scaling our massive MySQL cluster. Previous MySQL experience is a plus.
Your day-to-day at Egnyte
- Designing, building, and maintaining cloud environments (using Terraform, Puppet or Kubernetes)
- Migrating services to cloud-based environments
- Collaborating with software developers and DBAs to create a reliable and scalable infrastructure for our product.
About you
- 2+ years of proven experience in a DevOps Engineer, System Administrator or Developer role, working on infrastructure or build processes
- Programming prowess (Python, Java, Ruby, Golang, or JavaScript)
- Experience with databases (MySQL or Postgress or RDS/Aurora or others)
- Experience with public cloud services (GCP/AWS/Azure)
- Good understanding of the Linux Operating System on the administration level
- Preferably you have experience with HA solutions: our tools of choice include Orchestrator, Proxysql, HAProxy, Corosync & Pacemaker, etc.
- Experience with metric-based monitoring solutions (Cloud: CloudWatch/Stackdriver, On-prem: InfluxDB/OpenTSDB/Prometheus)
- Drive to grow as a DevOps Engineer (we value open-mindedness and a can-do attitude)
● Improve CI/CD tooling using gitlab.
● Implement and improve monitoring and alerting.
● Build and maintain highly available systems.
● Implement the CI pipeline.
● Implement and maintain monitoring stacks.
● Lead and guide the team in identifying and implementing new technologies.
● Implement and own the CI.
● Manage CD tooling.
● Implement and maintain monitoring and alerting.
● Build and maintain highly available production systems.
Skills
● Configuration Management experience such as Kubernetes, Ansible or similar.
● Managing production infrastructure with Terraform, CloudFormation, etc.
● Strong Linux, system administration background.
● Ability to present and communicate the architecture in a visual form. Strong knowledge of AWS,
Azure, GCP.
DevOps Engineer
Job Description:
The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.
Skills:
- Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
- Strong hands-on over Ansible is preferred
- Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
- Should have core knowledge in Linux and System operations.
- Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
- Conduct and automate audits for network and systems infrastructure.
- Do software deployments, per documented processes, with no impact to customers.
- Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
- Troubleshoot connectivity problems across network, systems or applications.
- Follow security guidelines, both policy and technical to protect our customers.
- Ability to automate recurring tasks to increase velocity and quality.
- Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
- Should have knowledge and hands-on experience in managing ELK clusters.
- Scripting Knowledge in Shell/Python is added advantage.
- Hands-on Experience over K8s based Microservice Architecture is added advantage.
Job Description:
- Hands on experience with Ansible & Terraform.
- Scripting language, such as Python or Bash or PowerShell is required and willingness to learn and master others.
- Troubleshooting and resolving automation, build, and CI/CD related issues (in cloud environment like AWS or Azure).
- Experience with Kubernetes is mandate.
- To develop and maintain tooling and environments for test and production environments.
- Assist team members in the development and maintenance of tooling for integration testing, performance testing, security testing, as well as source control systems (that includes working in CI systems like Azure DevOps, Team City, and orchestration tools like Octopus).
- Good with Linux environment.
Understanding of any scripting programming language.
Configuration and managing databases such as MySQL
Working knowledge of various tools, open-source technologies, and cloud services (AWS)
Implementing automation tools(Ansible, Jenkins) for deployment and provisioning IT infrastructure
Excellent troubleshooting of cloud systems.
Awareness of critical concepts in DevOps principles.
Minimum 4 years exp
Skillsets:
- Build automation/CI: Jenkins
- Secure repositories: Artifactory, Nexus
- Build technologies: Maven, Gradle
- Development Languages: Python, Java, C#, Node, Angular, React/Redux
- SCM systems: Git, Github, Bitbucket
- Code Quality: Fisheye, Crucible, SonarQube
- Configuration Management: Packer, Ansible, Puppet, Chef
- Deployment: uDeploy, XLDeploy
- Containerization: Kubernetes, Docker, PCF, OpenShift
- Automation frameworks: Selenium, TestNG, Robot
- Work Management: JAMA, Jira
- Strong problem solving skills, Good verbal and written communication skills
- Good knowledge of Linux environment: RedHat etc.
- Good in shell scripting
- Good to have Cloud Technology : AWS, GCP and Azure

EXP:: 4 - 7 yrs
- Any scripting language:: Python, Scala, shell or bash
- Cloud:: AWS
- Database:: Relational (SQL) & non-relational (NoSQL)
- CI/CD tools and Version controlling
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company. You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on the AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand-based
auto-scaling.
- Have on-call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high-level programming
languages.
- Extensive experience in any Javascript-based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery






