
The brand is associated with some of the major icons across categories and tie-ups with industries covering fashion, sports, and music, of course. The founders are Marketing grads, with vast experience in the consumer lifestyle products and other major brands. With their vigorous efforts toward quality and marketing, they have been able to strike a chord with major E-commerce brands and even consumers.
What you will do:
- Defining and documenting best practices and strategies regarding application deployment and infrastructure maintenance
- Providing guidance, thought leadership and mentorship to development teams to build cloud competencies
- Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
- Managing cloud environments in accordance with company security guidelines
- Developing and implementing technical efforts to design, build and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics
- Participating in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
- Troubleshooting incidents, identifying root cause, fixing and documenting problems and implementing preventive measures
- Educating teams on the implementation of new cloud-based initiatives, providing associated training as required
Desired Candidate Profile
What you need to have:- Bachelor’s degree in computer science, information technology
- 2+ years of experience as architect, designing, developing, and implementing cloud solutions on AWS platforms
- Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytic
- Proven ability to collaborate with multi-disciplinary teams of business analysts, developers, data scientists and subject matter experts
- Self-motivation with the ability to drive features to delivery
- Strong analytical and problem solving skills
- Excellent oral and written communication skills
- Good logical sense, strong technical skills and the ability to learn new technologies quickly
- AWS certifications are a plus
- Knowledge of web services, API, REST, and RPC

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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.
Looking out for GCP Devop's Engineer who can join Immediately or within 15 days
Job Summary & Responsibilities:
Job Overview:
You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.
Experience:
Experience working on billing and budgets for a GCP project - MUST
Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
Experience in implementing the recommendations on GCP
Architect Certifications on GCP - MUST
Excellent communication skills (both verbal & written) - MUST
Excellent documentation skills on processes and steps and instructions- MUST
At least 2 years of experience on GCP.
Basic Qualifications:
● Bachelor’s/Master’s Degree in Engineering OR Equivalent.
● Extensive scripting or programming experience (Shell Script, Python).
● Extensive experience working with CI/CD (e.g. Jenkins).
● Extensive experience working with GCP, Azure, or Cloud Foundry.
● Experience working with databases (PostgreSQL, elastic search).
● Must have 2 years of minimum experience with GCP certification.
Benefits :
● Competitive salary.
● Work from anywhere.
● Learning and gaining experience rapidly.
● Reimbursement for basic working set up at home.
● Insurance (including top-up insurance for COVID).
Location :
Remote - work from anywhere.
Why LiftOff?
We at LiftOff specialize in product creation, for our main forte lies in helping Entrepreneurs realize their dream. We have helped businesses and entrepreneurs launch more than 70 plus products.
Many on the team are serial entrepreneurs with a history of successful exits.
As a Devops Engineer, you will work directly with our founders and alongside our engineers on a variety of software projects covering various languages, frameworks, and application architectures.
Must Have
*Work experience of at least 2 years with Kubernetes.
*Hands-on experience working with Kubernetes. Preferably on Azure Cloud.
*Well-versed with Kubectl
*Experience in using Azure Monitor, setting up analytics and reports for Azure containers and services.
*Monitoring and observability
*Setting Alerts and auto-scaling
Nice to have
*Scripting and automation
*Experience with Jenkins or any sort of CI/CD pipelines
*Past experience in setting up cloud infrastructure, configurations and database backups
*Experience with Azure App Service
*Experience of setting up web socket-based applications.
*Working knowledge of Azure APIM
We are a group of passionate people driven by core values. We strive to make every process transparent and have flexible work timings along with excellent startup culture and vibe.
Key Sills Required for Lead DevOps Engineer
Containerization Technologies
Docker, Kubernetes, OpenShift
Cloud Technologies
AWS/Azure, GCP
CI/CD Pipeline Tools
Jenkins, Azure Devops
Configuration Management Tools
Ansible, Chef,
SCM Tools
Git, GitHub, Bitbucket
Monitoring Tools
New Relic, Nagios, Prometheus
Cloud Infra Automation
Terraform
Scripting Languages
Python, Shell, Groovy
· Ability to decide the Architecture for the project and tools as per the availability
· Sound knowledge required in the deployment strategies and able to define the timelines
· Team handling skills are a must
· Debugging skills are an advantage
· Good to have knowledge of Databases like Mysql, Postgresql
It is advantageous to be familiar with Kafka. RabbitMQ
· Good to have knowledge of Web servers to deploy web applications
· Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning
· Advantage to having experience in DevSecOps
Note: Tools mentioned in bold are a must and others are added advantage
We are looking for a DevOps Engineer for managing the interchange of data between the server and the users. Your primary responsibility will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to request from the frontend. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.
What we are looking for
- Must have strong knowledge of Kubernetes and Helm3
- Should have previous experience in Dockerizing the applications.
- Should be able to automate manual tasks using Shell or Python
- Should have good working knowledge on AWS and GCP clouds
- Should have previous experience working on Bitbucket, Github, or any other VCS.
- Must be able to write Jenkins Pipelines and have working knowledge on GitOps and ArgoCD.
- Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
- Should have a good understanding of ELK Stack.
- Exposure on Jira, confluence, and Sprints.
What you will do:
- Mentor junior Devops engineers and improve the team’s bar
- Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
- Oversight of all server environments, from Dev through Production.
- Responsible for the automation and configuration management
- Provides stable environments for quality delivery
- Assist with day-to-day issue management.
- Take lead in containerising microservices
- Develop deployment strategies that allow DevOps engineers to successfully deploy code in any environment.
- Enables the automation of CI/CD
- Implement dashboard to monitors various
- 1-3 years of experience in DevOps
- Experience in setting up front end best practices
- Working in high growth startups
- Ownership and Be Proactive.
- Mentorship & upskilling mindset.
- systems and applications
what you’ll get- Health Benefits
- Innovation-driven culture
- Smart and fun team to work with
- Friends for life
- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
- Lead, inspire, and influence to make sure your team is successful
- Partner with the recruiting team to attract and retain high-quality and diverse talent
- Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
- Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
- Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp
You'll need:
- BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
- Strong fundamentals in distributed systems design and development
- Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
- Experience running production services in Public Clouds such as AWS, GCP, and Azure
- Experience with running large stateful data systems in the Cloud
- Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
- A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
- Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team
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










