DevOps Engineer

Job Location: Bangalore/Mumbai

Exp: 3-10+ Yrs

Job Title: DevOps Engineer

About TradeLab:

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.

Key Responsibilities

• DevOps Strategy & Leadership
• Contribute to defining and executing the DevOps strategy for high-frequency trading and fintech platforms. Mentor junior engineers and collaborate with cross-functional teams to foster a culture of automation, scalability, and performance.
• Work closely with engineering and product teams to align infrastructure initiatives with business objectives.
• CI/CD and Infrastructure Automation Design and optimize CI/CD pipelines for ultra-low-latency trading systems.
• Implement Infrastructure as Code (IaC) practices using Terraform, Helm, Kubernetes, and automation frameworks.
• Establish best practices for release management and deployment in mission-critical environments.
• Cloud & On-Prem Infrastructure Management Manage hybrid infrastructure across AWS, GCP, and on-prem data centers ensuring high availability and fault tolerance.
• Implement networking strategies for low-latency trading, including routing and performance tuning.
• Drive cost optimization and scalability initiatives across multi-cloud environments.
• Performance Monitoring & Optimization Set up and maintain system performance monitoring using Prometheus, Grafana, and ELK stack. Implement alerting and automated remediation strategies for zero-downtime operations.
• Conduct root-cause analysis and performance tuning for systems handling millions of transactions per second.
• Security & Compliance Apply DevSecOps principles across all environments.
• Ensure compliance with financial regulations (SEBI and global standards) and maintain audit trails.
• Drive security automation, vulnerability management, and IAM policies.

Required Skills & Qualifications

• 3–8 years of experience in DevOps, with exposure to leadership or team mentoring.
• Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD). Hands-on experience with cloud platforms (AWS, GCP) and hybrid infrastructure.
• Proficiency in Kubernetes, Docker, and container orchestration. Solid experience with Terraform, Helm, and IaC principles.
• Strong Linux administration and networking fundamentals (TCP/IP, DNS, firewalls). Experience with monitoring tools (Prometheus, Grafana, ELK).
• Proficiency in scripting languages (Python, Bash, Go) for automation. Understanding of security best practices, IAM, and compliance frameworks.

Good to Have

• Exposure to ultra-low-latency trading infrastructure or high-frequency trading systems.
• Knowledge of FIX protocol, FPGA acceleration, or network optimization techniques.
• Familiarity with Redis, Nginx, or other real-time data handling technologies.
• Experience in advanced performance tuning for microsecond-level execution.

Why Join Us?

Work with a team that expects and delivers excellence. A culture where innovation and speed are rewarded. Limitless opportunities for growth—if you can handle the pace. Build systems that move markets and redefine fintech

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

We are looking for very hands-on DevOps engineers with 3 to 6 years of experience. The person will be part of a team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.

This person MUST have:

• B.E Computer Science or equivalent

• 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.

• 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.

• 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.

• 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.

• Experience configuring/maintaining one monitoring tool.

• Excellent verbal & written communication skills.

• Candidates with certifications - AWS, GCP, CKA, etc will be preferred

• Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).

Experience:

• Min 3 years of experience as DevOps automation engineer buildingg, running, and maintaining production sites.

• Not looking for candidates who have experience only as L1/L2 or Build & Deploy.
  
  

Location: Remotely, anywhere in India.

Timings:

• The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
  
  

Position:

• Full time/Direct

• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.

• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

As a DevOps Engineer, you’ll play a key role in managing our cloud infrastructure, automating deployments, and ensuring high availability across our global server network. You’ll work closely with our technical team to optimize performance and scalability.

Responsibilities

✅ Design, implement, and manage cloud infrastructure (primarily Azure)

✅ Automate deployments using CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)

✅ Monitor and optimize server performance & uptime (100% uptime goal)

✅ Work with cPanel-based hosting environments and ensure seamless operation

✅ Implement security best practices & compliance measures

✅ Troubleshoot system issues, scale infrastructure, and enhance reliability

Requirements

🔹 3-7 years of DevOps experience in cloud environments (Azure preferred)

🔹 Hands-on expertise in CI/CD tools (GitHub Actions, Jenkins, etc.)

🔹 Proficiency in Terraform, Ansible, Docker, Kubernetes

🔹 Strong knowledge of Linux system administration & networking

🔹 Experience with monitoring tools (Prometheus, Grafana, ELK, etc.)

🔹 Security-first mindset & automation-driven approach

Why Join Us?

🚀 Work at a fast-growing startup backed by Microsoft

💡 Lead high-impact DevOps projects in a cloud-native environment

🌍 Hybrid work model with flexibility in Bangalore, Delhi, or Mumbai

💰 Competitive salary ₹12-30 LPA based on experience

How to Apply?

📩 Apply now & follow us for future updates:

🔗 X (Twitter): https://x.com/CygenHost

🔗 LinkedIn: https://www.linkedin.com/company/cygen-host/

🔗 Instagram: https://www.instagram.com/cygenhost

Would you like any modifications before posting this? Or should I move on to the next role? 🚀

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

👉 TL; DR: We at Sarva Labs Inc., are looking for Site Reliability Engineers with experience to join our team. As a Protocol Developer, you will handle assets in data centers across Asia, Europe and Americas for the World’s First Context-Aware Peer-to-Peer Network enabling Web4.0. We are looking for that person who will take over the ownership of DevOps, establish proper deployment processes and work with engineering teams and hustle through the Main Net launch.

About Us 🚀

Imagine if each user had their own chain with each transaction being settled by a dynamic group of nodes who come together and settle that interaction with near immediate finality without a volatile gas cost. That’s MOI for you, Anon.

Visit https://www.sarva.ai/ to know more about who we are as a company

Visit https://www.moi.technology/ to know more about the technology and team!

Visit https://www.moi-id.life/ , https://www.moibit.io/ , https://www.moiverse.io/ to know more

Read our developer documentation at https://apidocs.moinet.io/

What you'll do 🛠

• You will take over the ownership of DevOps, establish proper deployment processes and work with engineering teams to ensure an appropriate degree of automation for component assembly, deployment, and rollback strategies in medium to large scale environments
• Monitor components to proactively prevent system component failure, and enable the engineering team on system characteristics that require improvement
• You will ensure the uninterrupted operation of components through proactive resource management and activities such as security/OS/Storage/application upgrades

You'd fit in 💯 if you...

• Familiar with any of these providers: AWS, GCP, DO, Azure, RedSwitches, Contabo, Redswitches, Hetzner, Server4you, Velia, Psychz, Tier and so on
• Experience in virtualizing bare metals using Openstack / VMWare / Similar is a PLUS
• Seasoned in building and managing VMs, Containers and clusters across the continents
• Confident in making best use of Docker, Kubernetes with stateful set deployment, autoscaling, rolling update, UI dashboard, replications, persistent volume, ingress
• Must have experience deploying in multi-cloud environments
• Working knowledge on automation tools such as Terraform, Travis, Packer, Chef, etc.
• Working knowledge on Scalability in a distributed and decentralised environment
• Familiar with Apache, Rancher, Nginx, SELinux/Ubuntu 18.04 LTS/CentOS 7 and RHEL
• Monitoring tools like PM2, Grafana and so on
• Hands-on with ELK stack/similar for log analytics

🌱 Join Us

• Flexible work timings
• We’ll set you up with your workspace. Work out of our Villa which has a lake view!
• Competitive salary/stipend
• Generous equity options (for full-time employees)

Job Dsecription:

○ Develop best practices for team and also responsible for the architecture

○ solutions and documentation operations in order to meet the engineering departments quality and standards

○ Participate in production outage and handle complex issues and works towards Resolution

○ Develop custom tools and integration with existing tools to increase engineering Productivity

Required Experience and Expertise

○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.

○ Deep understanding of Terraform with best practices & writing TF modules.

○ Hands-on experience of GCP  and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.

○ Deep understanding of Kernel, Networking and OS fundamentals

NOTICE PERIOD - Max - 30 days

• 2+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
• 2+ years of hands-on experience as a DevOps engineer
• Strong leadership, communication and interpersonal skills geared to getting things done
• Developing themselves and the talent within their charge – fostering and creating opportunity for the team
• Strong understanding of SRE concepts and the DevOps culture. Set the direction and strategy for your team, and help shape the overall SRE program for the company
• Be able to lead complicated technical issues and communicating status updates/RCA with management and customers.
• Own site stability, performance, capacity planning, DevOps recruitment.