
Role Description:
● Own, deploy, configure, and manage infrastructure environment and/or applications in
both private and public cloud through cross-technology administration (OS, databases,
virtual networks), scripting, and monitoring automation execution.
● Manage incidents with a focus on service restoration.
● Act as the primary point of contact for all compute, network, storage, security, or
automation incidents/requests.
● Manage rollout of patches and release management schedule and implementation.
Technical experience:
● Strong knowledge of scripting languages such as Bash, Python, and Golang.
● Expertise in using command line tools and shells
● Strong working knowledge of Linux/UNIX and related applications
● Knowledge in implementing DevOps and having an inclination towards automation.
● Sound knowledge in infrastructure-as-a-code approaches with Puppet, Chef, Ansible, or
Terraform, and Helm. (preference towards Terraform, Ansible, and Helm)
● Must have strong experience in technologies such as Docker, Kubernetes, OpenShift,
etc.
● Working with REST/gRPC/GraphQL APIs
● Knowledge in networking, firewalls, network automation
● Experience with Continuous Delivery pipelines - Jenkins/JenkinsX/ArgoCD/Tekton.
● Experience with Git, GitHub, and related tools
● Experience in at least one public cloud provider
Skills/Competencies
● Foundation: OS (Linux/Unix) & N/w concepts and troubleshooting
● Automation: Bash or Python or Golang
● CI/CD & Config Management: Jenkin, Ansible, ArgoCD, Helm, Chef/Puppet, Git/GitHub
● Infra as a Code: Terraform
● Platform: Docker, K8s, VMs
● Databases: MySQL, PostgreSql, DataStore (Mongo, Redis, AeroSpike) good to have
● Security: Vulnerability Management and Golden Image
● Cloud: Deep working knowledge on any public cloud (GCP preferable)
● Monitoring Tools: Prometheus, Grafana, NewRelic

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Job Description:
Infilect is a GenAI company pioneering the use of Image Recognition in Consumer Packaged Goods retail.
We are looking for a Senior DevOps Engineer to be responsible and accountable for the smooth running of our Cloud, AI workflows, and AI-based Computer Systems. Furthermore, the candidate will supervise the implementation and maintenance of the company’s computing needs including the in-house GPU & AI servers along with AI workloads.
Responsibilities
- Understanding and automating AI based deployment an AI based workflows
- Implementing various development, testing, automation tools, and IT infrastructure
- Manage Cloud, computer systems and other IT assets.
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Design, develop, implement, and coordinate systems, policies, and procedures for Cloud and on-premise systems
- Ensure the security of data, network access, and backup systems
- Act in alignment with user needs and system functionality to contribute to organizational policy
- Identify problematic areas, perform RCA and implement strategic solutions in time
- Preserve assets, information security, and control structures
- Handle monthly/annual cloud budget and ensure cost effectiveness
Requirements and skills
- Well versed in automation tools such as Docker, Kubernetes, Puppet, Ansible etc.
- Working Knowledge of Python, SQL database stack or any full-stack with relevant tools.
- Understanding agile development, CI/CD, sprints, code reviews, Git and GitHub/Bitbucket workflows
- Well versed with ELK stack or any other logging, monitoring and analysis tools
- Proven working experience of 2+ years as an DevOps/Tech lead/IT Manager or relevant positions
- Excellent knowledge of technical management, information analysis, and of computer hardware/software systems
- Hands-on experience with computer networks, network administration, and network installation
- Knowledge in ISO/SOC Type II implementation with be a
- BE/B.Tech/ME/M.Tech in Computer Science, IT, Electronics or a similar field
Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code
SUMMARY:-
- Implement integrations requested by customers
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code
Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening
Ability to understand business requirements and translate them into technical requirements
A knack for benchmarking and optimizationWhat you’ll be doing at Novo:
● Systems thinking
● Creating best practices, templates, and automation for build, test, integration and
deployment pipelines on multiple projects
● Designing and developing tools for easily creating and managing dev/test infrastructure
and services in AWS cloud
● Providing expertise and guidance on CI/CD, Github, and other development tools via
containerization
● Monitoring and support systems in Dev, UAT and production environments
● Building mock services and production-like data sources for use in development and
testing
● Managing Github integrations, feature flag systems, code coverage tools, and other
development & monitoring tools tools
● Participating in support rotations to help troubleshoot to infrastructure issues
Stacks you eat everyday ( For Devops Engineer )
● Creating and working with containers, as well as using container orchestration tools
(Kubernetes / Docker)
● AWS: S3, EKS, EC2, RDS, Route53, VPC etc.
● Fair understanding of Linux
● Good knowledge of CI/CD : Jenkins / CircleCI / Github Actions
● Basic level of monitoring
● Support for Deployment along with various Web Servers and Linux environments , both
backend and frontend.
Sr Enterprise Software Architect with Cloud skills and preferably having either a GCP Associate or Professional Certification.
The requirement is to understand existing Enterprise Applications and help design a solution to enable Load balancing & Auto Scaling the application to meet certain KPIs.
Should be well versed with
- Designing and Deploying Large enterprise software in Cloud
- Understands Cloud fundamentals
- DevOps & Kubernetes
- Experience deploying cloud applications and monitoring operations
- Preferably Google Cloud
- Associate or Professional Certification.
- Equal Experts is an innovative software delivery consultancy specializing in the delivery of custom software solutions for blue-chip enterprise and public sector clients across a range of industry sectors.
- We deliver market-leading propositions across the digital, online and mobile channels, and are recognized for our leadership in the application of Agile and Lean delivery methods to assure delivery.
- We are focused on hiring DevOps Engineers with skills in AWS, Automation tools, CI/CD tools and the likes.
- The DevOps Consultant will be working with an on-site client team and will be expected to mentor and share their skills and knowledge with the existing client developers.
Your Responsibilities Include:
- Continuous Delivery of quality software created by our project teams. Ensuring smooth build and release with continuous integration.
- Configuration Management - Design and implementation of deployment strategies for multiple projects.
- Virtualization and Infrastructure Provisioning.
- Maintenance and upgrade of our cloud environment (AWS).
- Version control and source code administration.
- Administration of Web Servers, Application Servers and Servlet Containers
- Setting up and managing the Automation efforts for multiple projects.
Technical Expertise:
- Should have worked on Agile projects featuring weekly iterations and releases.
- Should have extensive hands-on experience with:
- Continuous Integration tools like Jenkins.
- Configuration Management tools like Terraform or Ansible.
- Cloud computing using AWS, EC2.
- Hands-on experience on Kubernetes.
- Virtualization tools like Vagrant, Docker or VMWare
- You have an active presence in the DevOps community through your blogs, Stack Overflow and GitHub profiles.
- You are passionate about DevOps. You love to mentor people and evangelize about best practices and innovations in DevOps.
Experienced with Azure DevOps, CI/CD and Jenkins.
Experience is needed in Kubernetes (AKS), Ansible, Terraform, Docker.
Good understanding in Azure Networking, Azure Application Gateway, and other Azure components.
Experienced Azure DevOps Engineer ready for a Senior role or already at a Senior level.
Demonstrable experience with the following technologies:
Microsoft Azure Platform As A Service (PaaS) product such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services.
Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C.
Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics.
Knowledge of PowerShell, GitHub, ARM templates, version controls/hotfix strategy and deployment automation.
Ability and desire to quickly pick up new technologies, languages, and tools
Excellent communication skills and Good team player.
Passionate about code quality and best practices is an absolute must
Must show evidence of your passion for technology and continuous learning
Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
Araali Networks is seeking a highly driven DevOps engineer to help streamline the release and deployment process, while assuring high quality.
Responsibilities:
Use best practices to streamline the release process
Use IaC methods to manage cloud infrastructure
Use test automation for release qualification
Skills and Qualifications:
Hands-on experience in managing release pipelines
Good understanding of public cloud infrastructure
Working knowledge of python test frameworks like pyunit, and automation tools like Selenium, Cucumber etc
Strong analytical and debugging skills
Bachelor’s degree in Computer Science
About Araali:
Araali Networks is a SaaS based cybersecurity startup that has raised a total of $10M from well known investors like A Capital, Firebolt Ventures and SV Angels, and and through a strategic investment by a publicly traded security company.
The company is disrupting the cloud firewall market by auto-creating nano-perimeters around every cloud app. The Araali solution enables developers to focus on features and improves the security posture through simplification and automation.
The security controls are embedded at the time of DevOps. The precision of Araali controls also helps with security operations where alerts are precise and intelligently routed to the right app team, making it actionable in real-time.
About the client :
Asia’s largest global sports media property in history with a global broadcast to 150+ countries. As the world’s largest martial arts organization, they are a celebration of Asia’s greatest cultural treasure, and its deep-rooted Asian values of integrity, humility, honor, respect, courage, discipline, and compassion. Has achieved some of the highest TV ratings and social media engagement metrics across Asia with its unique brand of Asian values, world-class athletes, and world-class production. Broadcast partners include Turner Sports, Star India, TV Tokyo, Fox Sports, ABS-CBN, Astro, ClaroSports, Bandsports, Startimes, Premier Sports, Thairath TV, Skynet, Mediacorp, OSN, and more. Institutional investors include Sequoia Capital, Temasek Holdings, GIC, Iconiq Capital, Greenoaks Capital, and Mission Holdings. Currently has offices in Singapore, Tokyo, Los Angeles, Shanghai, Milan, Beijing, Bangkok, Manila, Jakarta, and Bangalore.
Position : Devops Engineer – SDE3
As part of the engineering team, you would be expected to have deep technology expertise with a passion for building highly scalable products. This is a unique opportunity where you can impact the lives of people across 150+ countries!
Responsibilities
• Develop Collaborate in large-scale systems design discussions.
• Deploying and maintaining in-house/customer systems ensuring high availability, performance and optimal cost.
• Automate build pipelines. Ensuring right architecture for CI/CD
• Work with engineering leaders to ensure cloud security
• Develop standard operating procedures for various facets of Infrastructure services (CI/CD, Git Branching, SAST, Quality gates, Auto Scaling)
• Perform & automate regular backups of servers & databases. Ensure rollback and restore capabilities are Realtime and with zero-downtime.
• Lead the entire DevOps charter for ONE Championship. Mentor other DevOps engineers. Ensure industry standards are followed.
Requirements
• Overall 5+ years of experience in as DevOps Engineer/Site Reliability Engineer
• B.E/B.Tech in CS or equivalent streams from institute of repute
• Experience in Azure is a must. AWS experience is a plus
• Experience in Kubernetes, Docker, and containers
• Proficiency in developing and deploying fully automated environments using Puppet/Ansible and Terraform
• Experience with monitoring tools like Nagios/Icinga, Prometheus, AlertManager, Newrelic
• Good knowledge of source code control (git)
• Expertise in Continuous Integration and Continuous Deployment setup using Azure Pipeline or Jenkins
• Strong experience in programming languages. Python is preferred
• Experience in scripting and unit testing
• Basic knowledge of SQL & NoSQL databases
• Strong Linux fundamentals
• Experience in SonarQube, Locust & Browserstack is a plus











