- Understanding customer requirements and project KPIs
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Managing stakeholders and external interfaces
- Setting up tools and required infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Have the technical skill to review, verify, and validate the software code developed in the project.
- 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
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Incidence management and root cause analysis
- Coordination and communication within the team and with customers
- 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
- Managing periodic reporting on the progress to the management and the customer

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We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
Requirements
- 3+ years work experience writing clean production code
- Well versed with maintaining infrastructure as code (Terraform, Cloudformation etc). High proficiency with Terraform / Terragrunt is absolutely critical
- Experience of setting CI/CD pipelines from scratch
- Experience with AWS(EC2, ECS, RDS, Elastic Cache etc), AWS lambda, Kubernetes, Docker, ServiceMesh
- Experience with ETL pipelines, Bigdata infra
- Understanding of common security issues
Roles / Responsibilities:
- Write terraform modules for deploying different component of infrastructure in AWS like Kubernetes, RDS, Prometheus, Grafana, Static Website
- Configure networking, autoscaling. continuous deployment, security and multiple environments
- Make sure the infrastructure is SOC2, ISO 27001 and HIPAA compliant
- Automate all the steps to provide a seamless experience to developers.
ketteQ is a supply chain planning and automation platform. We are looking for an experienced AWS Devops Engineer to help manage AWS infrastructure and automation. This job comes with a attractive compensation package, work-from-home and flex-time benefits. You will get to work on projects for large global brands with a highly experienced team based in US and India. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you. Candidates must meet the following requirements:
Duties & Responsibilities
- Deployment, automation, management, and maintenance of AWS cloud-based production system
- Build a deployment pipeline for AWS and Salesforce
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure defined as cloud formation template
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
Requirements
- At least 5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, Fargate, S3, Cloud Formation)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Solid foundation of networking and Linux administration
- Experience with Docker, GitHub, Jenkins, Cloud Formation and deploying applications on AWS
- Ability to learn/use a wide variety of open source technologies and tools
- Database experience to help with monitoring and performance; PostgreSql experience preferred
- AWS certification preferred
Education
- Bachelors in Engineering or related field
As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.
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Development of automation scripts and pipelines for deployment and monitoring of new production environments.
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Development of automation scripts for upgrades, hotfixes deployments and maintenance.
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Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.
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Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.
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Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.
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Write Knowledge articles to document known issues and best practices.
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Conduct regression tests to validate solutions or workarounds.
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Work in a globally distributed team.
What achievements should you have so far?
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Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.
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Experience with containerization, deployment, and operations.
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Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).
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Good experience with Linux systems and Shell scripting.
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Basic cloud experience, preferably oriented on MS Azure.
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Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).
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Good Networking skills and experience.
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Having Terraform or CloudFormation knowledge will be considered a plus.
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Ability to analyze a task from a system perspective.
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Excellent problem-solving and troubleshooting skills.
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Excellent written and verbal communication skills; mastery in English and local language.
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Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.
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)
- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
About the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast
- 🎯 Mission Driven: Make Indonesia competitive on a global scale
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
- 🇮🇩 🇮🇳 Teams in India and Indonesia
Skillset 🧗🏼♀️
- You primarily identify as a DevOps/Infrastructure engineer and are comfortable working with systems and cloud-native services on AWS
- You can design, implement, and maintain secure and scalable infrastructure delivering cloud-based services
- You have experience operating and maintaining production systems in a Linux based public cloud environment
- You are familiar with cloud-native concepts - Containers, Lambdas, Orchestration (ECS, Kubernetes)
- You’re in love with system metrics and strive to help deliver improvements to systems all the time
- You can think in terms of Infrastructure as Code to build tools for automating deployment, monitoring, and operations of the platform
- You can be on-call once every few weeks to provide application support, incident management, and troubleshooting
- You’re fairly comfortable with GIT, AWS CLI, python, docker CLI, in general, all things CLI. Oh! Bash scripting too!
- You have high integrity, and you are reliable
What you can expect from us 👌🏼
☮️ Mentorship, growth, great work culture
- Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you
- We are a people-first, high-trust, high-autonomy team
- We live in the TDD, Pair Programming, First Principles world
🌏 Remote done right
- Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls
- Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong
- A good balance between deep focussed work and collaborative work ⚖️
🖥️ Friendly, humane interview process
- 30-minute alignment check and screening call
- A short take-home coding assignment, no more than 2-3 hours. Time is precious
- Pair programming interview. Collaborate, work together. No sitting behind a desk and judging
- In-depth engineering discussion around your skills and career so far
- System design and architecture interview for seniors
What we ask from you👇🏼
- Bring your software engineering — both individual brilliance and collaborative skills
- Bring your good nature — we're building a team that supports each other
- Be vested or interested in the company vision
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery






