DevOps Engineer

About Company:

• Role Overview

• Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.

• Key Knowledge

• 3-5+ years of experience in AWS/GCP or Azure technologies
• Is likely certified on one or more of the major cloud platforms
• Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
• Ability to guide and lead internal agile teams on cloud technology
• Background from the financial services industry or similar critical operational experience

About the Role:

We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.

Key Responsibilities:

Cloud Management:

• Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
• Ensure high availability, scalability, and security of cloud resources.

Containerization & Orchestration:

• Develop and manage containerized applications using Docker.
• Deploy, scale, and manage Kubernetes clusters.

CI/CD Pipelines:

• Build and maintain robust CI/CD pipelines to automate the software delivery process.
• Implement monitoring and alerting to ensure pipeline efficiency.

Version Control & Collaboration:

• Manage code repositories and workflows using Git.
• Collaborate with development teams to optimize branching strategies and code reviews.

Automation & Scripting:

• Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
• Write scripts to optimize and maintain workflows.

Monitoring & Logging:

• Implement and maintain monitoring solutions to ensure system health and performance.
• Analyze logs and metrics to troubleshoot and resolve issues.

Required Skills & Qualifications:

• 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
• Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
• Hands-on experience building and managing CI/CD pipelines.
• Proficient in using Git for version control.
• Experience with scripting languages such as Bash, Python, or PowerShell.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and system administration.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with serverless architectures and microservices.

Responsibilities

• Implement various development, testing, automation tools, and IT infrastructure
• Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
• Manage end-to-end production workloads hosted on Docker and AWS
• Automate CI pipeline using Groovy DSL
• Deploy and configure Kubernetes clusters (EKS)
• Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker

Eligibility

• At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
• Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
• Experience in deploying and managing production environments in Amazon AWS
• Strong experience in continuous integration and continuous deployment
• Knowledge of application build, deployment, and configuration using one of the tools: Jenkins

Position: Senior DevOps Engineer (Azure Cloud Infra & Application deployments)   

Location:

Hyderabad  

Hiring a Senior

DevOps engineer having 2 to 5 years of experience.  

Primary Responsibilities   

Strong Programming experience in PowerShell and batch

scripts. 

Strong expertise in Azure DevOps, GitLab, CI/CD, Jenkins and

Git Actions, Azure Infrastructure. 

Strong

experience in configuring infrastructure and Deployments application in

Kubernetes, docker & Helm charts, App Services, Server less, SQL database, Cloud

services and Container deployment. 

Continues

Integration, deployment, and version control (Git/ADO).  

Strong experience in managing and configuring RBAC, managed identity and

security best practices for cloud environments. 

Strong verbal and written communication skills. 

Experience with agile development process. 

· 

Good analytical skills  

Additional Responsibility.  

Familiar with

various design and architecture patterns. 

Work with modern frameworks and design patterns. 

Experience with cloud applications Azure/AWS.  Should have experience in developing solutions and plugins and should have used XRM Toolbox/ToolKit.

Exp in Customer Portal and Fetchxml and Power Apps and Power Automate is good to have.

You need to drive automation for implementing scalable and robust applications. You would indulge your dedication and passion to build server-side optimization ensuring low-latency and high-end performance for the cloud deployed within datacentre. You should have sound knowledge of Open stack and Kubernetes domain.

YOUR ‘OKR’ SUMMARY

OKR means Objective and Key Results.

As a DevOps Engineer, you will understand the overall movement of data in the entire platform, find bottlenecks,define solutions, develop key pieces, write APIs and own deployment of those. You will work with internal and external development teams to discover these opportunities and to solve hard problems. You will also guide engineers in solving the complex problems, developing your acceptance tests for those and reviewing the work and

the test results.

What you will do

• As a DevOps Engineer responsible for systems being used by customer across the globe.
• Set the goals for overall system and divide into goals for the sub-system.
• Guide/motivate/convince/mentor the architects on sub-systems and help them achieving improvements with agility and speed.

• Identify the performance bottleneck and come up with the solution to optimize time and cost taken by build/test system.

• Be a thought leader to contribute to the capacity planning for software/hardware, spanning internal and public cloud, solving the trade-off between turnaround time and utilization.

• Bring in technologies enabling massively parallel systems to improve turnaround time by an order of magnitude.

What you will need

A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the following skills to succeed.

• BS or BE/B.Tech or equivalent experience in EE/CS with 10+ years of experience.
• Strong background of Architecting and shipping distributed scalable software product with good understanding of system programming.

• Excellent background of Cloud technologies like: OpenStack, Docker, Kubernetes, Ansible, Ceph is must.
• Excellent understanding of hybrid, multi-cloud architecture and edge computing concepts.
• Ability to identify the bottleneck and come up with solution to optimize it.
• Programming and software development skills in Python, Shell-script along with good understanding of distributed systems and REST APIs.

• Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
• Excellent knowledge and working experience with Docker containers and Virtual Machines.
• Ability to effectively work across organizational boundaries to maximize alignment and productivity between teams.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate.

• Deep understanding of technology and passionate about what you do.
• Background in designing high performant scalable software systems with strong focus to optimizehardware cost.

• Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide andinfluence within a dynamic environment.

• Strong commitment to get the most performance out of a system being worked on.
• Prior development of a large software project using service-oriented architecture operating with real time constraints.

What's In It for You?

• You will get a chance to work on cloud-native and hyper-scale products
• You will be working with industry leaders in cloud.
• You can expect a steep learning curve.
• You will get the experience of solving real time problems, eventually you become a problem solver.

Benefits & Perks:

• Competitive Salary
• Health Insurance
• Open Learning - 100% Reimbursement for online technical courses.
• Fast Growth - opportunities to grow quickly and surely
• Creative Freedom + Flat hierarchy
• Sponsorship to all those employees who represent company in events and meet ups.
• Flexible working hours
• 5 days week
• Hybrid Working model (Office and WFH)

Our Hiring Process:

Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)

• Initial Resume screening call with our Recruiting team
• Next, candidates will be invited to solve coding exercises.
• Next, candidates will be invited for first technical interview
• Next, candidates will be invited for final technical interview
• Finally, candidates will be invited for Culture Plus interview with HR
• Candidates may be asked to interview with the Leadership team
• Successful candidates will subsequently be made an offer via email

As always, the interviews and screening call will be conducted via a mix of telephonic and video call.

So, if you are looking at an opportunity to really make a difference- make it with us…

Coredge.io provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable central, state or local laws.

• Proficient in Linux Commands line and troubleshooting.
• Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
• Hands-on experience with CI tooling preferably with Jenkins.
• Proficient in deployment using Ansible.
• Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
• Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
• Scripting languages: Bash, Python, Groovy.
• Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

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

REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.

 Duties and Responsibilities :

• Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
• Build, release, and configuration management of production systems.
• System troubleshooting and problem-solving across platform and application domains.
• Suggesting architecture improvements, recommending process improvements.
• Evaluate new technology options and vendor products.
• Function well in a fast-paced, rapidly-changing environment
• Communicate effectively with people at all levels of the organization

Qualifications and Required Skills:

• Overall 3+ years of experience in various software engineering roles.
• 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
• Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
• Expertise in any of the programming languages – (NodeJS or Python preferable)
• Must have hands-on experience in using AWS/Azure - SDK/APIs.
• Must have experience in deploying, releasing, and managing production systems
• MCA or a degree in engineering in Computer Science, IT, or Electronics stream