Senior DevOps Engineer

Applicants must read the JD and understand the JD throughly

Job Title: Database & DevOps Engineer

Location: Chennai, Tamil Nadu (On-site/Hybrid)

Experience: 2+ years -

Job Summary

We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.

Key Responsibilities

Database Management

• Install, configure, monitor, and maintain SQL and NoSQL databases.

• Manage database backup, recovery, replication, and disaster recovery.

• Optimise performance through indexing, query tuning, and monitoring.

• Ensure database security, integrity, and availability.

• Troubleshoot database issues and provide timely resolutions.

DevOps, Infrastructure & AI Operations

• Design, implement, and maintain CI/CD pipelines.

• Automate infrastructure provisioning using Infrastructure as Code tools.

• Deploy and manage applications across cloud and on-premises environments.

• Configure and maintain containerised applications using Docker and Kubernetes.

• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.

• Configure and manage GPU-enabled infrastructure for AI workloads.

• Support model serving, vector databases, and AI application APIs.

• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.

• Maintain Linux servers and automate routine operational tasks.

• Implement secure management of credentials, secrets, model endpoints, and data access.

• Collaborate with development and AI teams to streamline deployment and release processes.

Mandatory Skills

• 2+ years of hands-on experience in Database Administration and DevOps.

• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.

• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.

• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.

• Experience with Docker and Kubernetes.

• Experience with AWS, Azure, or GCP.

• Knowledge of Terraform and Ansible.

• Strong Linux administration and shell-scripting skills.

• Experience with Prometheus, Grafana, ELK Stack, or Nagios.

• Working knowledge of networking, security, SSL/TLS, and load balancing.

• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.

• Experience deploying Python-based AI/ML services and APIs.

• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.

• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.

• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.

• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.

• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.

Technical Stack

• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases

• Cloud: AWS, Azure, GCP.

• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps

• Containers and IaC: Docker, Kubernetes, Terraform, Ansible

• Monitoring: Prometheus, Grafana, ELK Stack, Nagios

• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA

• Operating Systems: Linux—Ubuntu, CentOS, Red Hat

Soft Skills

• Excellent communication and collaboration skills.

• Strong ownership and accountability.

• Ability to work effectively in a fast-paced Agile environment.

• Proactive approach to troubleshooting and continuous improvement.

• Ability to manage multiple priorities and deliver on time.

Key Responsibilities

DevOps Strategy & Leadership

• Define and execute the end-to-end DevOps strategy for high-frequency trading and fintech platforms.
• Lead, mentor, and scale a high-performing DevOps team focused on automation, reliability, and performance.
• Partner closely with engineering and product leaders to ensure infrastructure strategy supports business and technical goals.

CI/CD & Infrastructure Automation

• Architect, implement, and optimize enterprise-grade CI/CD pipelines for ultra-low-latency trading systems.
• Drive Infrastructure as Code (IaC) adoption using Terraform, Helm, Kubernetes, and advanced automation toolsets.
• Establish robust release management, deployment workflows, and versioning best practices for mission‑critical environments.

Cloud & On‑Prem Infrastructure Management

• Design and manage hybrid infrastructures across AWS, GCP, and on-premise data centers ensuring high availability and fault tolerance.
• Implement sophisticated networking strategies for low-latency workloads including routing optimization and performance tuning.
• Lead multi‑cloud scalability, cost optimization, and environment standardization initiatives.

Performance Monitoring & Optimization

• Oversee large-scale monitoring systems using Prometheus, Grafana, ELK, and related observability tools.
• Implement predictive alerting, automated remediation, and system‑wide health checks for zero‑downtime operations.
• Conduct root-cause analyses and performance tuning for systems processing millions of transactions per second.

Security & Compliance

• Champion DevSecOps practices and embed security across the entire development and deployment lifecycle.
• Ensure adherence to financial regulatory standards (SEBI and global frameworks) with strong audit and compliance mechanisms.
• Lead security automation efforts, vulnerability management, and advanced IAM policy implementation.

Required Skills & Qualifications

• 10+ years of DevOps experience, with 5+ years in a leadership capacity.
• Deep hands-on expertise in CI/CD tools such as Jenkins, GitLab CI/CD, and ArgoCD.
• Strong command of AWS, GCP, and hybrid cloud infrastructures.
• Expert-level knowledge of Kubernetes, Docker, and large-scale container orchestration.
• Advanced proficiency in Terraform, Helm, and overall IaC workflows.
• Strong Linux administration, networking fundamentals (TCP/IP, DNS, Firewalls), and system internals.
• Experience with monitoring and observability platforms (Prometheus, Grafana, ELK).
• Excellent scripting skills in Python, Bash, or Go for automation and tooling.
• Deep understanding of security principles, encryption, IAM, and compliance frameworks.

Good to Have

• Experience with ultra-low-latency or high-frequency trading systems.
• Knowledge of FIX protocol, FPGA acceleration, or network‑level optimizations.
• Familiarity with Redis, Nginx, or other high‑throughput systems.
• Exposure to micro‑second‑level performance tuning or network acceleration technologies.

Why Join Us?

• Be part of a team that consistently raises the bar and delivers exceptional engineering outcomes.
• A culture where innovation, ownership, and bold thinking are valued.
• Exceptional growth opportunities—ideal for someone who thrives in fast-paced, high-impact environments.
• Build systems that influence markets and redefine the fintech landscape.

This isn’t just a role—it’s a challenge, a platform, and a proving ground.

Ready to step up? Apply now.

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)

About BootLabs:

BootLabs is a boutique tech consulting and digital engineering company that partners with leading enterprises to build and support scalable, cloud-native, and data-driven platforms. We specialise in delivering high-impact solutions across cloud, AI/GenAI, platform engineering, and enterprise application support. Our teams work closely with global clients across highly regulated industries, including BFSI, Healthcare, E-commerce, and other domains, ensuring reliability, security, and operational excellence for mission-critical systems.

JD:

Extensive experience in deploying, and supporting enterprise workloads across Azure IaaS, PaaS, and SaaS environments.

Experience managing enterprise Landing Zones & Azure Policies.

Exposure to Azure Data Lake and Azure Databricks (basic to intermediate).

Knowledge of Terraform and any DevOps CI/CD pipelines.

Hybrid connectivity experience (VPN Gateway / ExpressRoute).

Strong networking fundamentals (NSG, UDR, Peering).

OS-level troubleshooting (Windows & Linux).

Experience with enterprise security tools such as Prisma / Cortex or similar vulnerability & endpoint security tools

Experience in production support, governance, and security guardrails.

Experience handling production incidents, RCA preparation, and performance tuning. Change management & CAB coordination.

Hands-on experience with native Azure security services like Azure Firewall, Azure Application Gateway with WAF etc

Cost optimization ,Monitoring & alerting implementation

Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

Experience of Linux

Experience using Python or Shell scripting (for Automation) 

Hands-on experience with Implementation of CI/CD Processes 

Experience working  with one cloud platforms (AWS or Azure or Google) 

Experience working with configuration management tools such as Ansible & Chef 

Experience working with   Containerization tool Docker.

Experience working with Container Orchestration tool Kubernetes.

Experience in source Control Management including SVN and/or Bitbucket

& GitHub

Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools 

Hands-on experience in Linux, Scripting Language & AWS is mandatory

Troubleshoot and Triage development, Production issues