DevOps Engineer

Work mode- WFO 5 days

Location: Hyderabad (Onsite)

Experience- 7+

• K8s Hands-on experience
• Linux Troubleshooting Skills
• Experience on OnPrem Servers and Management
• Helm
• Docker
• Ingress and Ingress Controllers
• Networking Basics
• Proficient Communication

Must-Have Skills:

• Hands-on experience with airgap Kubernetes clusters, ideally in regulated industries (finance, healthcare, etc.).
• Strong expertise in CI/CD pipelines, programmable infrastructure, and automation.
• Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery.
• Security & compliance knowledge for regulated industries.
• Preferred: Experience with GKE, RKE, Rook-Ceph, and certifications like CKA, CKAD.

Who You Are

• A Kubernetes expert who thrives on scalability, automation, and security.
• Passionate about optimizing infrastructure, CI/CD, and high-availability systems.
• Comfortable troubleshooting Linux, improving observability, and ensuring disaster recovery readiness.
• A problem solver who simplifies complexity and drives cloud-native adoption.

What You’ll Do

• Architect & automate Kubernetes solutions for airgap and multi-region clusters.
• Optimize CI/CD pipelines & cloud-native deployments.
• Work with open-source projects, selecting the right tools for the job.
• Educate & guide teams on modern cloud-native infrastructure best practices.
• Solve real-world scaling, security, and infrastructure automation challenges.

Why Join Us?

• Work on high-impact Kubernetes projects in regulated industries.
• Solve real-world automation & infrastructure challenges with cutting-edge tools.
• Grow in a team that values learning, open-source contributions, and innovation.

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

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

Requirements

Core skills:

● Strong background in Linux / Unix Administration and

troubleshooting

● Experience with AWS (ideally including some of the following:

VPC, Lambda, EC2, Elastic Cache, Route53, SNS, Cloudwatch,

Cloudfront, Redshift, Open search, ELK etc.)

● Experience with Infra Automation and Orchestration tools

including Terraform, Packer, Helm, Ansible.

● Hands on Experience on container technologies like Docker,

Kubernetes/EKS, Gitlab and Jenkins as Pipeline.

● Experience in one or more of Groovy, Perl, Python, Go or

scripting experience in Shell.

● Good understanding of with Continuous Integration(CI) and

Continuous Deployment(CD) pipelines using tools like Jenkins,

FlexCD, ArgoCD, Spinnaker etc

● Working knowledge of key value stores, database technologies

(SQL and NoSQL), Mongo, mySQL

● Experience with application monitoring tools like Prometheus,

Grafana, APM tools like NewRelic, Datadog, Pinpoint

● Good exposure on middleware components like ELK, Redis, Kafka

and IOT based systems including Redis, NewRelic, Akamai,

Apache / Nginx, ELK, Grafana, Prometheus etc

Good to have:

● Prior experience in Logistics, Payment and IOT based applications

● Experience in unmanaged mongoDB cluster, automations &

operations, analytics

● Write procedures for backup and disaster recovery

Core Experience

● 3-5 years of hands-on DevOps experience

● 2+ years of hands-on Kubernetes experience

● 3+ years of Cloud Platform experience with special focus on

Lambda, R53, SNS, Cloudfront, Cloudwatch, Elastic Beanstalk,

RDS, Open Search, EC2, Security tools

● 2+ years of scripting experience in Python/Go, shell

● 2+ years of familiarity with CI/CD, Git, IaC, Monitoring, and

Logging tools

The candidate must have 2-3 years of experience in the domain. The responsibilities include:

● Deploying system on Linux-based environment using Docker

● Manage & maintain the production environment

● Deploy updates and fixes

● Provide Level 1 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

● Experience working on Linux-based infrastructure

● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)

● Configuration and managing databases such as Mongo

● Excellent troubleshooting

● Experience of working with AWS/Azure/GCP

● Working knowledge of various tools, open-source technologies, and cloud services

● Awareness of critical concepts in DevOps and Agile principles

● Experience of CI/CD Pipeline

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

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders

Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services

Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies, and risk management strategies

Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies

Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)

Experience with application discovery prefera bly with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies

Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc

Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline

Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost

Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution

Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred

Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.

Hands-on Experience with application build/release processes CI/CD pipelines

Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA

Additional Requirements:

Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral

Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice

Assist Sales and Marketing team in creating sales and marketing collateral

Write whitepapers and technology blogs to be published on social media and Intuitive website

Create case studies for projects successfully executed by Intuitive delivery team

Conduct sales enablement sessions to coach sales team on new offerings

Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams

Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings

Strong passion for modern technology exploration and development

Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills

Experience with Multi-cloud (Azure, GCP, OCI) is a big plus

Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus

Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus

Job Sector: IT , Software

Job Type: Permanent

Location: Sholinganallur (Chennai)

Experience: 6 -8 Years

Salary: 11 – 13 LPA

Education: Any Graduate

Notice Period: Immediate

Key Skills: CI/CD Tools –Maven, Gradle, Fastlane, Jenkins, Travis

CV submission closing date: 22/07/2021

Contact at triple eight two zero nine four two double seven

Job Responsibilities:

• Design, develop, ship, and motivate the creation of software and systems to increase product reliability and organizational efficiency.
• Guide reliability practices through the entire software development lifecycle through activities like architecture reviews, code reviews, creating platforms and frameworks, capacity planning, and chaos testing.
• Maintain service health through monitoring and incident response.
• Improve service reliability through blameless post-incident reviews and using code to prevent or respond to problem recurrence.

Required Skills:

• BS degree in Computer Science, related technical field, or equivalent practical experience.
• Experience writing code in Java, Go, Shell, Perl, Python, or a similar language.
• Ability to debug, optimize code, and automate routine tasks.
• Strong interest in SRE topics like SLOs, resilience, scaling, performance, and more.
• We get excited about engineers who:
• have previous experience with public clouds and enabling technology (AWS & Terraform preferred or other similar technologies)
• Familiar on one or more CI/CD Tools – Maven, Gradle, Fastlane, Jenkins, Travis/CircleCI
• Experience designing using asynchronous messaging patterns

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

Job role

Anaxee is India's REACH Engine! To provide access across India, we need to build highly scalable technology which needs scalable Cloud infrastructure. We’re seeking an experienced cloud engineer with expertise in AWS (Amazon Web Services), GCP (Google Cloud Platform), Networking, Security, and Database Management; who will be Managing, Maintaining, Monitoring, Handling Cloud Platforms, and ensuring the security of the same.

You will be surrounded by people who are smart and passionate about the work they are doing.

Every day will bring new and exciting challenges to the job.

Job Location: Indore | Full Time | Experience: 1 year and Above | Salary ∝ Expertise | Rs. 1.8 LPA to Rs. 2.64 LPA

About the company:

Anaxee Digital Runners is building India's largest last-mile Outreach & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach the remotest parts of India, on-demand.

We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Anaxee is one of the very few venture-funded startups in Central India | Website: www.anaxee.com

Important: Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8

Responsibilities (You will enjoy the process):

#Triage and troubleshoot issues on the AWS and GCP and participate in a rotating on-call schedule and address urgent issues quickly

#Develop and leverage expert-level knowledge of supported applications and platforms in support of project teams (architecture guidance, implementation support) or business units (analysis).

#Monitoring the process on production runs, communicating the information to the advisory team, and raising production support issues to the project team.

#Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management

#Developing and implementing technical efforts to design, build, and deploy AWS and GCP applications at the direction of lead architects, including large-scale data processing and advanced analytics

#Participate in all aspects of the SDLC for AWS and GCP solutions, including planning, requirements, development, testing, and quality assurance

#Troubleshoot incidents, identify root cause, fix, and document problems, and implement preventive measures

#Educate teams on the implementation of new cloud-based initiatives, providing associated training as required

#Build and maintain operational tools for deployment, monitoring, and analysis of AWS and GCP infrastructure and systems; Design, deploy, maintain, automate & troubleshoot virtual servers and storage systems, firewalls, and Load Balancers in our hybrid cloud environment (AWS and GCP)

What makes a great DevOps Engineer (Cloud) for Anaxee:

#Candidate must have sound knowledge, and hands-on experience, in GCP (Google Cloud Platform) and AWS (Amazon Web Services)

#Good hands-on Linux Operating system OR any other similar distributions, viz. Ubuntu, CentOS, RHEL/RedHat, etc.

#1+ years of experience in the industry

#Bachelor's degree preferred with Science/Maths background (B.Sc/BCA/B.E./B.Tech)

#Enthusiasm to learn new software, take ownership and latent desire and curiosity in the related domain like Cloud, Hosting, Programming, Software development, security.

#Demonstrable skills troubleshooting a wide range of technical problems at application and system level, and have strong organizational skills with eye for detail.

#Prior knowledge of risk-chain is an added advantage

#AWS/GCP certifications is a plus

#Previous startup experience would be a huge plus.

The ideal candidate must be experienced in cloud-based tech, with a firm grasp on emerging technologies, platforms, and applications, and have the ability to customize them to help our business become more secure and efficient. From day one, you’ll have an immediate impact on the day-to-day efficiency of our IT operations, and an ongoing impact on our overall growth

What we offer

#Startup Flexibility

#Exciting challenges to learn grow and implement notions

#ESOPs (Employee Stock Ownership Plans)

#Great working atmosphere in a comfortable office,

#And an opportunity to get associated with a fast-growing VC-funded startup.

What happens after you apply?

You will receive an acknowledgment email with company details.

If gets shortlisted, our HR Team will get in touch with you (Call, Email, WhatsApp) in a couple of days

Rest all the information will be communicated to you then via our AMS.

Our expectations before/after you click “Apply Now”

Read about Anaxee: http://www.anaxee.com/

Watch this six mins pitch to get a better understanding of what we are into https://www.youtube.com/watch?v=7QnyJsKedz8

Let's dive into detail (Company Presentation): https://bit.ly/anaxee-deck-brands