DevOps Engineer

Job Title: Senior DevOps Engineer

Location: Sector 39, Gurgaon (Onsite)

Employment Type: Full-Time

Working Days: 6 Days (Alternate Saturdays Working)

Experience Required: 5+ Years

Team Role: Lead & Mentor a team of 3–4 engineers

About the Role

We are seeking a highly skilled Senior DevOps Engineer to lead our infrastructure and automation initiatives while mentoring a small team. This role involves setting up and managing physical and cloud-based servers, configuring storage systems, and implementing automation to ensure high system availability and reliability. The ideal candidate will have strong Linux administration skills, hands-on experience with DevOps tools, and the leadership capabilities to guide and grow the team.

Key Responsibilities

Infrastructure & Server Management (60%)

• Set up, configure, and manage bare-metal (physical) servers as well as cloud-based environments.
• Configure network bonding, firewalls, and system security for optimal performance and reliability.
• Implement and maintain high-availability solutions for mission-critical systems.

Queue Systems (Kafka / RabbitMQ) (15%)

• Deploy and manage message queue systems to support high-throughput, real-time data exchange.
• Ensure reliable event-driven communication between distributed services.

Storage Systems (SAN/NAS) (15%)

• Configure and manage Storage Area Networks (SAN) and Network Attached Storage (NAS).
• Optimize storage performance, redundancy, and availability.

Database Administration (5%)

• Administer and optimize MariaDB, MySQL, MongoDB, Redis, and Elasticsearch.
• Handle backup, recovery, replication, and performance tuning.

General DevOps & Automation

• Deploy product updates, patches, and fixes while ensuring minimal downtime.
• Design and manage CI/CD pipelines using Jenkins or similar tools.
• Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
• Manage web and application servers (Apache httpd, Tomcat).
• Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
• Conduct root cause analysis and implement automation to reduce manual interventions.
• Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.

Required Skills & Qualifications

✅ 5+ years of proven DevOps engineering experience

✅ Strong expertise in Linux administration & shell scripting

✅ Hands-on experience with bare-metal server management & storage systems

✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible

✅ Experience with Kafka or RabbitMQ in production environments

✅ Knowledge of CI/CD, automation, monitoring, and high-availability tools (Nagios, HAProxy, Keepalived)

✅ Excellent problem-solving, troubleshooting, and leadership abilities

✅ Strong communication skills with the ability to mentor and lead teams

Good to Have

• Experience in Telecom projects involving SMS, voice, or real-time data handling.

A DevOps Engineer plays a crucial role in enhancing and streamlining IT operations, particularly in the context of cloud computing and agile software development.

Responsible for managing the cloud infrastructure, CI/CD pipelines

Works as an integral software delivery team member delivering world-class, scalable and robust solutions.

Major Functions/Responsibilities:

• Design, Implement, and manage CI/CD pipelines on Microsoft Azure using Azure DevOps Services
• Automate deployment processes and infrastructure management using tools like Terraform, ARM templates or Azure CLI
• Create, configure, and execute on-going or newly proposed processes for multiple projects.
• Manage version control systems and ensure proper branching, merging and release workflows.
• Collaborate with development teams to design and implement cloud-native applications and scalable solutions.
• Manage Azure services like Azure Functions, App services, Azure Kubernetes Service (AKS) and Azure Container Registry (ACR)
• Implement monitoring and logging strategies using tools like Azure Monitor, Azure Log analytics and Application Insights.
• Identify areas for improvement within processes and practices.
• Optimize Azure resources to minimize costs while ensuring performance and scalability
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Create system documentation for training and reference.
• Implement security best practices including RBAC, Key Vault, Network Security, identity & access management.

Recommended Education/Experience/ Skills:

• 6+ years of DevOps experience in improving efficiency and achieving Continuous Integration, Continuous Testing and Continuous Deployment.
• 2+ years of experience with infrastructure automation tools (such as Terraform, Ansible, chef).
• Knowledge of AI in the context of NLP or other specialized AI fields and experience in AI based applications
• Experience with Docker, Azure Kubernetes Service for container management.
• Experience with Windows and Linux system administration with knowledge of installations, performance tuning, security, and shell scripting.
• Prior DevOps experience in improving efficiency and achieving Continuous Integration, Continuous Testing and Continuous Deployment.
• Proven experience in building DevOps infrastructure and creating multiple environments.
• Experience with or strong understanding of modern service-oriented architecture.
• Experience with scripting languages such as PowerShell, Python or Bash
• Knowledge of networking load balancers.
• Understanding of cloud security principles.
• Experience with SDLC Management software and solutions and knowledge of Agile and Scrum methodologies
• Experience in integration of automated testing and deployment for cloud-based applications with Continuous Integration tools.
• Experience in any modern language (C#, HTML, CSS, Java, etc).
• Collaboration and communication skills to work with cross-functional teams.
• Expertise in version control systems like Azure DevOps, Git managing repositories.
• Relevant DevOps-related certifications, such as Azure DevOps expert , Azure AI services etc

DevOps Engineer

1.   Should have at least 5+ years of experience

2.   Should have working experience in Docker, Microservices Architecture Application Deployment, GitHub Container Registry, GitHub Actions, Load Balancer, Nginx Web server, 

3.   Should have working expertise in CI/CD tool

4.   Should have working experience with the bash script

5.   Good to have at least one cloud platform services knowledge

LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations to automate daily tasks Ensure High Availability and Auto-failover with minimum or no manual interventions

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in query analysis, peformance tuning, database redesigning, Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

About Us

We have grown over 1400% in revenues in the last year.

Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.

Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. 

We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups. 

We are a fully remote team.

Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.

As a Site Reliability Engineer you will be in charge of:

• Designing, analyzing and troubleshooting large-scale distributed systems
• Engaging in cross-functional team discussions on design, deployment, operation, and maintenance,  in a fast-moving, collaborative set up
• Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
• Debugging and optimizing code and automating routine tasks
• Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
• Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products 
• You will follow and write good code and solid engineering practices

You can be a great fit if you are :

1. Extremely self motivated
2. Ability to learn quickly
3. Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
4. Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation. 
8. 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
9. Have a solid understanding of system availability, latency, and performance
10. Strong programming skills in at least one major programming language and the ability to learn new languages as needed  
11. Strong System/network debugging skills
12. Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
13. Experience with setting up production-level monitoring and telemetry
14. Expertise in Container management & AWS
15. Experience with kubernetes is a plus
16. Experience building CI/CD pipelines
17. Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
18. Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
19. Ability to effectively articulate technical challenges and solutions.
20. Proactive outlook for ways to make our systems more reliable

• JD: • 10+ years of overall industry experience
  • 5+ years of cloud experience
  • 2+ years of architect experience
  • Varied background preferred between systems and development
  o Experience working with applications, not pure infra experience
  • Azure experience – strong background using Azure for application migrations
  • Terraform experience – should mention automation technologies in job experience
  • Hands on experience delivering in the cloud
  • Must have job experience designing solutions for customers
  • IaaS Cloud architect
  workload migrations to AWS and/or Azure
  • Security architecture considerations experience
  • CI/CD experience
  • Proven applications migration track of record.