DevOps Engineer

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Job Details

- Job Title: Lead DevOps Engineer

- Industry: Consumer Internet, Technology & Travel and Tourism Platform

- Function - IT

- Experience Required: 7-10 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong Lead DevOps / Infrastructure Engineer Profiles.
• Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
• Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
• Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
• Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
• Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
• Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
• (Company) – Must be from B2C Product Companies only.
• (Education) – B.E/ B.Tech

Preferred

• Experience working in microservices architecture and event-driven systems.
• Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• (Environment) – Experience working in high-growth startup or large-scale production environments.

Job Description 

As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

• Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
• Codify our infrastructure
• Do what it takes to keep the uptime above 99.99%
• Understand the bigger picture and sail through the ambiguities
• Scale technology considering cost and observability and manage end-to-end processes
• Understand DevOps philosophy and evangelize the principles across the organization
• Strong communication and collaboration skills to break down the silos

About Simbian

Simbian is at the forefront of cybersecurity innovation, leveraging purpose-built AI Agents to deliver 10x security outcomes for global enterprises and MSSPs. Our platform autonomously investigates and responds to alerts, freeing security teams from repetitive tasks. Simbian combines privacy-first technology, proven integration with 70+ enterprise tools, and rapid deployment for measurable value. Role

Overview

We are seeking a collaborative, innovative DevOps Engineer passionate about enabling secure, scalable operations for cutting-edge cybersecurity products. Join our team during a period of high growth and help architect the future of agentic AI security platforms.

Key Responsibilities

• Kubernetes Management:

o Manage and maintain production-grade Kubernetes clusters across multiple cloud providers (AWS is essential, Azure is valuable, GCP is a plus).

o Deploy, upgrade, troubleshoot, and scale stateful and stateless workloads (NGINX, Postgres, MongoDB, OpenCTI, OpenSearch, Kafka, Hadoop, Fluentd) in Kubernetes.

• Cloud Operations:

o Operate and optimize cloud environments, with strong expertise in AWS (AWS Certified Solutions Architect Professional or equivalent Azure cert preferred).

o Design, deploy, and manage infrastructure on AWS and Azure (GCP optional). • SQL Database Management:

o Administer SQL databases, ideally Postgres, on Kubernetes clusters or cloud VMs.

o Perform routine maintenance, backups, upgrades, monitoring, and optimization.

• Infrastructure as Code:

o Build, install, upgrade, and maintain Helm charts with expertise.

o Use and understand Ansible for cloud automation (AWS/Azure), and Terraform for infrastructure provisioning.

• Monitoring, Logging, Observability:

o Implement and manage logging and metrics stacks using OpenSearch/Elasticsearch, Prometheus, Grafana, Thanos or similar open source tools.

• Programming & Scripting:

o Develop automation scripts in Bash (proficient with control structures). o Produce scripts or microservices in Node.js (preferred) or Python/Django (bonus).

• CI/CD:

o Build and maintain CI/CD pipelines preferably using GitHub Actions (Jenkins or equivalent is acceptable).

• Containerization:

o Create, manage, and troubleshoot Docker/Podman containers, images, volumes, and use Docker Compose for local development.

• Customer-Facing On-Prem Deployments (Bonus):

o Install, configure, and support Kubernetes on customer premises.

o Demonstrate ownership, initiative, and strong customer communication skills.

o Solid knowledge of Linux administration, networking, and cloud environments.

What You’ll Bring:

• 4+ years’ experience in DevOps, SRE, or Production Engineering.

• Mastery of Kubernetes, AWS, infrastructure automation, and database management.

• Strong collaborative, curious, and growth-driven mindset.

• Ability to challenge ideas, drive innovation, and embrace rapid change.

• Excellent communication for technical customer interactions.

Why Join Simbian?

• Work with pioneering agentic AI security—impact global security teams.

• Shape infrastructure for privacy-first technology in a high-growth startup.

• Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement. 

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Excellent communication skills

Open to work on EST time zone(6pm to 3am)

Technical Skills: 

·        In depth understanding of DevSecOps process and governance 

·        Understanding of various branching strategies 

·        Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.) 

·        Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc) 

·        Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP) 

·        Proficient with Terraform 

·        Hands on experience working with Kubernetes 

·        Proficient working with GIT version control 

·        Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc) 

·        Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc) 

·        Hands on experience with GitOps 

• Recommend a migration and consolidation strategy for DevOps tools
• Design and implement an Agile work management approach
• Make a quality strategy
• Design a secure development process
• Create a tool integration strategy

Do Your Thng 

https://doyourthng.com/ 

DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

Role: DevOps 

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Job Description:

We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.

Required Experience

• Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
• Experience working with Continuous Integration and Continuous Deployment Pipeline
• Exposure to managing LAMP stack-based applications
• Experience Resource provisioning automation using tools such as CloudFormation, terraform and ARM Templates.
• Experience in working closely with clients, understanding their requirements, design and implement quality solutions to meet their needs.
• Ability to take ownership on the carried-out work
• Experience coordinating with rest of the team to deliver well-architected and high-quality solutions.
• Experience deploying Docker based applications
• Experience with AWS services.
• Excellent verbal and written communication skills

Desired Experience

• Exposure to AWS, google cloud and Azure Cloud
• Experience in Jenkins, Ansible, Terraform
• Build Monitoring tools and respond to alarms triggered in production environment
• Willingness to quickly become a member of the team and to do what it takes to get the job done
• Ability to work well in a fast-paced environment and listen and learn from stakeholders
• Demonstrate a strong work ethic and incorporate company values in your everyday work.

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Migration, Upgrade, Monitor, and Maintenance of ADS Instance
• Automation using REST API to build Extensions and Custom Reporting
• Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"

• CICD Orchestration tools and other SCM/VC tools

• Microsoft MCSD Application Lifecycle Management certified
• A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
• Good communication skills
• Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
• Visual Studio and the .NET Framework experience is required "

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Work with the user community to adopt new features, enable new use cases, and help resolve any issues
• Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
• Take the lead in the validation of the application.
• Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
• Manage patches and updates for tooling solutions and related hosting environments including the operating system
• Automate the process for Maintenance"

We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.

Job Requirements

• Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
• Experience with AWS Cloud Formation and AWS CLI is essential
• The ability to work to project deadlines efficiently and with minimum guidance
• A positive attitude and enjoys working within a global distributed team

Skills

• Highly proficient working with CI/CD and automating infrastructure provisioning
• Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
• Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
• Hands on experience with Docker and container orchestration
• Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
• An interest in healthcare and medical sectors
• Technical degree with 4 plus years’ infrastructure and automation experience