● Bachelor Degree or 5+ years of professional or experience.
● 2+ years of hands-on experience of programming in languages such as Python, Ruby,
Go, Swift, Java, .Net, C++ or similar object-oriented language.
● Experience with automating cloud native technologies, deploying applications, and
provisioning infrastructure.
● Hands-on experience with Infrastructure as Code, using CloudFormation, Terraform, or
other tools.
● Experience developing cloud native CI/CD workflows and tools, such as Jenkins,
Bamboo, TeamCity, Code Deploy (AWS) and/or GitLab.
● Hands-on experience with microservices and distributed application architecture, such
as containers, Kubernetes, and/or serverless technology.
● Hands-on experience in building/managing data pipelines, reporting & analytics.
● Experience with the full software development lifecycle and delivery using Agile
practices.
● Preferable (bonus points if you know these):
○ AWS cloud management
○ Kafka
○ Databricks
○ Gitlab CI/CD hooks
○ Python notebooks
Similar jobs
Role – Sr. Devops Engineer
Location - Bangalore
Experience 5+ Years
Responsibilities
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Troubleshooting techniques and fixing the code bugs
- Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
- Encouraging and building automated processes wherever possible
- Incidence management and root cause analysis.
- Selecting and deploying appropriate CI/CD tools
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Mentoring and guiding the team members
- Monitoring and measuring customer experience and KPIs
Requirements
- 5-6 years of relevant experience in a Devops role.
- Good knowledge in cloud technologies such as AWS/Google Cloud.
- Familiarity with container orchestration services, especially Kubernetes experience (Mandatory) and good knowledge in Docker.
- Experience administering and deploying development CI/CD tools such as Git, Jira, GitLab, or Jenkins.
- Good knowledge in complex Debugging mechanisms (especially JVM) and Java programming experience (Mandatory)
- Significant experience with Windows and Linux operating system environments
- A team player with excellent communication skills.
DevOps Lead Engineer
We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.
Essential Requirements (must have):
• Bachelor's degree preferable in Engineering.
• Solid 5+ experience with AWS, DevOps, and related technologies
Skills Required:
Cloud Performance Engineering
• Performance scaling in a Micro-Services environment
• Horizontal scaling architecture
• Containerization (such as Dockers) & Deployment
• Container Orchestration (such as Kubernetes) & Scaling
DevOps Automation
• End to end release automation.
• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.
• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.
• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.
• Strong scripting knowledge
• Strong analytical and problem-solving skills.
• Cloud and On-prem deployments
Infrastructure Design & Provisioning
• Infra provisioning.
• Infrastructure Sizing
• Infra Cost Optimization
• Infra security
• Infra monitoring & site reliability.
Job Responsibilities:
• Responsible for creating software deployment strategies that are essential for the successful
deployment of software in the work environment and provide stable environment for delivery of
quality.
• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing
automation systems that help to execute business web and data infrastructure platforms.
• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,
and maintaining configuration management.
• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are
accountable for conducting training sessions for the juniors in the team, mentoring, career
support. They are also answerable for the architecture and technical leadership of the complete
DevOps infrastructure.
Hiring for the below position with one of our premium client
Role: Senior DevOps Engineer
Exp:7+ years
Location: Chennai
Key skills: DevOps, Cloud, Python scripting
Description:
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere
o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira
If interested kindly apply!
environment. He/she must demonstrate a high level of ownership, integrity, and leadership
skills and be flexible and adaptive with a strong desire to learn & excel.
Required Skills:
- Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
- and/or Codefresh
- Excellent knowledge of AWS offerings around Cloud and DevOps
- Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
- Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
- Strong experience in Python, Shell Scripting, Ansible, and Terraform
- Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
- Experience with Linux/Unix systems administration.
Looking for an experienced candidate with strong development and programming experience, knowledge preferred-
- Cloud computing (i.e. Kubernetes, AWS, Google Cloud, Azure)
- Coming from a strong development background and has programming experience with Java and/or NodeJS (other programming languages such as Groovy/python are a big bonus)
- Proficient with Unix systems and bash
- Proficient with git/GitHub/GitLab/bitbucket
Desired skills-
- Docker
- Kubernetes
- Jenkins
- Experience in any scripting language (Phyton, Shell Scripting, Java Script)
- NGINX / Load Balancer
- Splunk / ETL tools
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
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
Requirements
You can be a great fit if you are :
- Extremely self motivated
- Ability to learn quickly
- 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)
- 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)
- Passionate about the possibilities at the intersection of AI + Banking
- Worked in a startup of 5 to 30 employees
- Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation.
- 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
- Have a solid understanding of system availability, latency, and performance
- Strong programming skills in at least one major programming language and the ability to learn new languages as needed
- Strong System/network debugging skills
- Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
- Experience with setting up production-level monitoring and telemetry
- Expertise in Container management & AWS
- Experience with kubernetes is a plus
- Experience building CI/CD pipelines
- Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
- Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
- Ability to effectively articulate technical challenges and solutions.
- Proactive outlook for ways to make our systems more reliable
- As a DevOps engineer, you will be responsible for
- Automated provisioning of infrastructure in AWS/Azure/OpenStack environments.
- Creation of CI/CD pipelines to ensure smooth delivery of projects.
- Proactive Monitoring of overall infrastructure (Logs/Resources etc)
- Deployment of application to various cloud environments.
- Should be able to lead/guide a team towards achieving goals and meeting the milestones defined.
- Practice and implement best practices in every aspect of project deliverable.
- Keeping yourself up to date with new frameworks and tools and enabling the team to use them.
Skills Required
- Experience in Automation of CI/CD processes using tools such as GIT, Gerrit, Jenkins, CircleCI, Azure Pipeline, Gitlab
- Experience in working with AWS and Azure platforms and Cloud-Native automation tools such as AWS cloud formation and Azure Resource Manager.
- Experience in monitoring solutions such as ELK Stack, Splunk, Nagios, Zabbix, Prometheus
- Web Server/Application Server deployments and administration.
- Good Communication, Team Handling, Problem-solving, Work Ethic, and Creativity.
- Work experience of at least 1 year in the following are mandatory.
If you do not have the relevant experience, please do not apply.
- Any cloud provider (AWS, GCP, Azure, OpenStack)
- Any of the configuration management tools (Ansible, Chef, Puppet, Terraform, Powershell DSC)
- Scripting languages (PHP, Python, Shell, Bash, etc.?
- Docker or Kubernetes
- Troubleshoot and debug infrastructure Network and operating system issues.
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.
Must-Have’s:
- Hands-on DevOps (Git, Ansible, Terraform, Jenkins, Python/Ruby)
Job Description:
- Knowledge on what is a DevOps CI/CD Pipeline
- Understanding of version control systems like Git, including branching and merging strategies
- Knowledge of what is continuous delivery and integration tools like Jenkins, Github
- Knowledge developing code using Ruby or Python and Java or PHP
- Knowledge writing Unix Shell (bash, ksh) scripts
- Knowledge of what is automation/configuration management using Ansible, Terraform, Chef or Puppet
- Experience and willingness to keep learning in a Linux environment
- Ability to provide after-hours support as needed for emergency or urgent situations
Nice to have’s:
- Proficient with container based products like docker and Kubernetes
- Excellent communication skills (verbal and written)
- Able to work in a team and be a team player
- Knowledge of PHP, MySQL, Apache and other open source software
- BA/BS in computer science or similar