AWS DevOps Engineer

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.

Requirements:

• Previously help a DevOps Engineer or System Engineer role

• 4+ years of production Linux system admin experience in high traffic environment

• 1+ years of experience with Amazon AWS and related services (instances, ELB,

   EBS, S3, etc.) and abstractions on top of AWS.

• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and    

   security concerns.

• Experience in running Docker and Kubernetes clusters in production.

• Love automating mundane tasks and make developers life easy

• Must be able to code in, at a minimum, Python (or Ruby) and Bash.

• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT

• Agile software development best practices - continuous integration, releases,branches, etc.

• Experience with modern monitoring tools; capacity planning.

• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.

• Self-motivated, fast learner, detail-oriented, team player with a sense of humor

Experience in managing CI/CD using Jenkins.

The candidates should have:

·  Strong knowledge on Windows and Linux OS

·   Experience working in Version Control Systems like git

·  Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.

·  Basic understanding of SQL commands

·  Experience working on Azure Cloud DevOps

Experience: 3+ years of experience in Cloud Architecture

About Company:

Cloud Architect / Lead

• 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

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.

Key Responsibilities

• As a part of the DevOps team, you will be responsible for the configuration, optimization, documentation, and support of the CI/CD components.

• Creating and managing build and release pipelines with Azure DevOps and Jenkins.

• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

• Troubleshoot server performance issues & handle the continuous integration system.

• Automate infrastructure provisioning using ARM Templates and Terraform.

• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

• Diagnose and develop root-cause solutions for failures and performance issues in the production environment.

• Deploy and manage Infrastructure for production applications

• Configure security best practices for application and infrastructure

Essential Requirements

• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

• Strong knowledge of CI/CD principles.

• Strong work experience with CI/CD implementation tools like Azure DevOps, Team City, Octopus Deploy, AWS Code Deploy, and Jenkins.

• Experience of writing automation scripts with PowerShell, Bash, Python, etc.

• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

• Understanding of secure DevOps practices

Good to Have -

•Knowledge of scripting languages such as PowerShell, Bash

• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

• Strong communication skills and ability to explain protocol and processes with team and management.

• Must be able to handle multiple tasks and adapt to a constantly changing environment.

• Must have a good understanding of SDLC.

• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

• Organized, flexible, and analytical ability to solve problems creatively

A network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth.  We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud.  We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices.  We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.

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 SRE automation engineer building, 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 which 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.

• Defining and documenting best practices and strategies regarding application deployment and infrastructure maintenance
• Providing guidance, thought leadership and mentorship to development teams to build cloud competencies
• Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
• Managing cloud environments in accordance with company security guidelines
• Developing and implementing technical efforts to design, build and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics
• Participating in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
• Troubleshooting incidents, identifying root cause, fixing and documenting problems and implementing preventive measures
• Educating teams on the implementation of new cloud-based initiatives, providing associated training as required

Desired Candidate Profile

• Bachelor’s degree in computer science, information technology
• 2+ years of experience as architect, designing, developing, and implementing cloud solutions on AWS platforms
• Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytic
• Proven ability to collaborate with multi-disciplinary teams of business analysts, developers, data scientists and subject matter experts
• Self-motivation with the ability to drive features to delivery
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly
• AWS certifications are a plus
• Knowledge of web services, API, REST, and RPC    

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

Total Experience: 6 – 12 Years

Required Skills and Experience 

• 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
• 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
• Building and running Docker images and deployment on Amazon ECS
• Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
• Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
• Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
• Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
• Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
• Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
• Understanding of IAM, RBAC, NACLs, and KMS
• Good communication skills

Good to have:

• Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
• Knowledge of database administration such as MongoDB.
• Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.

Responsibilities

• Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
• Establish and promote DevOps thinking, guidelines, best practices, and standards.
• Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.