DevOps Engineer

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? 🚀

Hi,

We are looking for candidate with experience in DevSecOps.

Please find below JD for your reference.

Responsibilities:

Execute shell scripts for seamless automation and system management.

Implement infrastructure as code using Terraform for AWS, Kubernetes, Helm, kustomize, and kubectl.

Oversee AWS security groups, VPC configurations, and utilize Aviatrix for efficient network orchestration.

Contribute to Opentelemetry Collector for enhanced observability.

Implement microsegmentation using AWS native resources and Aviatrix for commercial routes.

Enforce policies through Open Policy Agent (OPA) integration.

Develop and maintain comprehensive runbooks for standard operating procedures.

Utilize packet tracing for network analysis and security optimization.

Apply OWASP tools and practices for robust web application security.

Integrate container vulnerability scanning tools seamlessly within CI/CD pipelines.

Define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaborate with software and platform engineers to infuse security principles into DevOps teams.

Regularly monitor and report project status to the management team.

Qualifications:

Proficient in shell scripting and automation.

Strong command of Terraform, AWS, Kubernetes, Helm, kustomize, and kubectl.

Deep understanding of AWS security practices, VPC configurations, and Aviatrix.

Familiarity with Opentelemetry for observability and OPA for policy enforcement.

Experience in packet tracing for network analysis.

Practical application of OWASP tools and web application security.

Integration of container vulnerability scanning tools within CI/CD pipelines.

Proven ability to define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaboration expertise with DevOps teams for security integration.

Regular monitoring and reporting capabilities.

Site Reliability Engineering experience.

Hands-on proficiency with source code management tools, especially Git.

Cloud platform expertise (AWS, Azure, or GCP) with hands-on experience in deploying and managing applications.

Please send across your updated profile.

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

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

• Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
• Familiarity with Python-related technologies and frameworks like Django or Pyramid.
• Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
• Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Source code management and Implementation of security best practices.
• Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
• Good understanding & implementation experience using 12-factor App principles
• Awareness of Cloud Security concepts
• Awareness of Information Security concepts and Best Practices

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles

Role : DevOps Engineer 

Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)

Location : Bangalore. 5 Days Working.

Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes 

Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to  work on, helping to enhance our product performance and reliability. 

Responsibilities: 

• Build & operate infrastructure to support website, backed cluster, ML projects in the  organization. 
• Helping teams become more autonomous and allowing the Operation team to focus on  improving the infrastructure and optimizing processes. 
• Delivering system management tooling to the engineering teams. 
• Working on your own applications which will be used internally. 
• Contributing to open source projects that we are using (or that we may start). 
• Be an advocate for engineering best practices in and out of the company. 
• Organizing tech talks and participating in meetups and representing Box8 at industry  events. 
• Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous  Integration/Delivery/Deployment (CI/CD) practices. 

Requirements: 

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing  amounts of traffic and new product requirements. 
• Ruby On Rails or Python and Bash/Shell skills. 
• Experience managing complex systems at scale. 
• Experience with Docker, rkt or similar container engine. 
• Experience with Kubernetes or similar clustering solutions. 
• Experience with tools such as Ansible or Chef Understanding of the importance of smart  metrics and alerting. 
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are  on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch). 
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers. 
• Managing large scale production grade infrastructure on AWS Cloud. 
• Good Knowledge on scripting languages like ruby, python or bash. 
• Experience in creating in deployment pipeline from scratch. 
• Expertise in any of the CI tools, preferably Jenkins. 
• Good knowledge of docker containers and its usage. 
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu. 

Good to have: 

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka,  Elasticsearch.

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.

Responsibilities:

• Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
• Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
• Delivering system management tooling to the engineering teams.
• Working on your own applications which will be used internally.
• Contributing to open source projects that we are using (or that we may start).
• Be an advocate for engineering best practices in and out of the company.
• Organizing tech talks and participating in meetups and representing Box8 at industry events.
• Sharing pager duty for the rare instances of something serious happening.
• Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.

Requirements:

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
• Ruby On Rails or Python and Bash/Shell skills.
• Experience managing complex systems at scale.
• Experience with Docker, rkt or similar container engine.
• Experience with Kubernetes or similar clustering solutions.
• Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers.
• Managing large scale production grade infrastructure on AWS Cloud.
• Good Knowledge on scripting languages like ruby, python or bash.
• Experience in creating in deployment pipeline from scratch.
• Expertise in any of the CI tools, preferably Jenkins.
• Good knowledge of docker containers and its usage.
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.

Good to have:

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.