Kubernetes
Docker
Amazon Web Services (AWS)
JenkinsThe DevOps Engineer's core responsibilities include automated configuration and management
of infrastructure, continuous integration and delivery of distributed systems at scale in a Hybrid
environment.
Must-Have:
● You have 4-10 years of experience in DevOps
● You have experience in managing IT infrastructure at scale
● You have experience in automation of deployment of distributed systems and in
infrastructure provisioning at scale.
● You have in-depth hands-on experience on Linux and Linux-based systems, Linux
scripting
● You have experience in Server hardware, Networking, firewalls
● You have experience in source code management, configuration management,
continuous integration, continuous testing, continuous monitoring
● You have experience with CI/CD and related tools
* You have experience with Monitoring tools like ELK, Grafana, Prometheus
● You have experience with containerization, container orchestration, management
● Have a penchant for solving complex and interesting problems.
● Worked in startup-like environments with high levels of ownership and commitment.
● BTech, MTech or Ph.D. in Computer Science or related Technical Discipline
Shubham Vishwakarma
Full Stack Developer - Averlon
About BELTECH ARTIFICIAL INTELLIGENCE PRIVATE LIMITED
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We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.
The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.
Key Responsibilities
Cloud Architecture & Engineering
• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.
• Define cloud architecture standards, reference architectures, and best practices.
• Lead cloud migration and modernisation initiatives across enterprise workloads.
• Implement multi-region disaster recovery and business continuity strategies.
• Oversee Azure networking, identity, security, and governance frameworks.
DevOps & CI/CD
• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.
• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.
• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.
• Establish branching strategies, release management, and environment promotion standards.
• Define and enforce platform engineering standards and internal developer tooling.
AI & Machine Learning Integration
• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.
• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.
• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.
• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.
• Design and implement enterprise MLOps frameworks.
• Build automated model training, validation, deployment, and monitoring pipelines.
• Establish model governance and lifecycle management.
Generative AI & Agentic AI
- Design enterprise GenAI solutions using Azure OpenAI.
- Build AI Agents using Azure AI Foundry.
- Develop Agent-to-Agent communication patterns.
- Implement Retrieval Augmented Generation (RAG) architectures.
- Build enterprise Knowledge Management and AI Skill Registry platforms.
- Design multi-agent orchestration frameworks.
Leadership & Stakeholder Engagement
• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.
• Mentor and guide junior architects, developers, and DevOps engineers.
• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.
• Produce architecture documentation, decision records (ADRs), and roadmaps.
• Represent the technology function in enterprise architecture forums and governance boards.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in cloud engineering and architecture.
• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.
• Proven experience designing and implementing enterprise-grade CI/CD pipelines.
• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).
• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).
• Deep knowledge of DevSecOps principles, tools, and practices.
• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).
• Proficiency in scripting and development: Python, PowerShell, Bash.
• Excellent communication and stakeholder management skills.
Preferred Qualifications
• Microsoft Certified: Azure Solutions Architect Expert.
• Microsoft Certified: DevOps Engineer Expert.
• Microsoft Certified: Azure AI Engineer Associate.
• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.
• Familiarity with Datadog, Prometheus, or equivalent observability platforms.
• Experience in the real estate, retail, or enterprise industry sector.
• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).
• Background in building Internal Developer Platforms (IDP).
Technical Skills
Domain
Technologies / Tools
Cloud Platform
Microsoft Azure (UAE North / Global)
DevOps & CI/CD
Azure DevOps, GitHub Actions, Jenkins
IaC
Terraform, Bicep, ARM Templates
AI / ML
Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services
Containers
Docker, Kubernetes (AKS), Azure Container Apps
Identity & Security
Microsoft Entra ID, Azure Policy, Defender for Cloud
Observability
Datadog, Azure Monitor, Log Analytics, Application Insights
Databases
Azure SQL, PostgreSQL, Cosmos DB
Languages
Python, PowerShell, Bash, YAML
Amazon Web Services (AWS)Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most systems don’t fail because of one big outage.
They fail because reliability is treated as an afterthought.
Right now, uptime depends too much on individual heroics.
That doesn’t scale.
This role exists to build a reliability system where:
- Uptime is predictable
- Failures are contained
- Escalations don’t depend on leadership
What you’ll do
You will not just monitor systems.
You will own reliability as a product.
1. Drive uptime to production-grade reliability
- Improve system uptime to 99.9% customer-facing SLA within 4 months
- Define and track:
- SLAs / SLOs / error budgets
- Ensure reliability is measured from the customer’s perspective, not internal metrics
2. Build incident response as a system
- Set up a 24/7 incident response rotation across 3 engineers
- Eliminate dependency on leadership (no single escalation point)
- Define:
- Incident severity levels
- Response playbooks
- Escalation protocols
- Ensure fast detection → containment → resolution
3. Contain and fix erratic system behavior
- Identify and resolve:
- Latency spikes
- Downtime incidents
- Integration failures
- Build guardrails to prevent recurrence
- Focus on root cause elimination, not temporary fixes
4. Create continuous reliability feedback loops
- Work closely with engineering teams to:
- Surface recurring failure patterns
- Improve build quality
- Reduce production bugs
- Ensure learnings from incidents directly improve future releases
5. Improve observability and monitoring
- Build dashboards and alerts for:
- System health
- Performance metrics
- Failure signals
- Ensure issues are detected before customers report them
6. Reduce operational fragility
- Remove single points of failure (people, systems, workflows)
- Improve system resilience across:
- Deployments
- Integrations
- Runtime environments
What success looks like
- Uptime reaches 99.9%+ reliably
- Incidents are:
- Detected early
- Contained quickly
- Resolved permanently
- No dependency on a single individual for escalation
- System behavior becomes predictable and stable
- Engineering teams ship with higher reliability confidence
Who you are
- You have 2-5 years of experience in SRE / DevOps / backend systems
- You have worked on production systems with real uptime expectations
- You think in:
- Systems
- Failure modes
- Trade-offs
- You are comfortable debugging live, high-pressure environments
What will make you stand out
- Experience with:
- Distributed systems
- Cloud infrastructure (AWS / Azure / GCP)
- Monitoring & alerting tools
- Have built or improved:
- Incident response systems
- Reliability frameworks
- Strong debugging skills across:
- Infra
- Application
- Integrations
Compensation
₹60,000/month (fixed)
(Aligned with role scope and impact expectations)
Why join
- You will define reliability standards for a production AI platform
- Your work directly impacts:
- Customer trust
- Product performance
- Enterprise readiness
- You will move the system from reactive → predictable
What this role is not
- Not just monitoring dashboards
- Not limited to handling tickets
- Not dependent on escalation to leadership
What this role is
- A builder of reliability systems
- A guardian of uptime and performance
- A multiplier of engineering quality
One question to self-evaluate
Can you build a system where downtime is rare, predictable, and never dependent on a single person?
DockerKubernetesAmazon Web Services (AWS)Job Summary:
We are looking for a highly skilled and experienced DevOps Engineer who will be responsible for the deployment, configuration, and troubleshooting of various infrastructure and application environments. The candidate must have a proficient understanding of CI/CD pipelines, container orchestration, and cloud services, with experience in AWS services like EKS, EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment. The DevOps Engineer will be responsible for monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration, among other tasks. They will also work with application teams on infrastructure design and issues, and architect solutions to optimally meet business needs.
Responsibilities:
- Deploy, configure, and troubleshoot various infrastructure and application environments
- Work with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment
- Monitor, automate, troubleshoot, secure, maintain users, and report on infrastructure and applications
- Collaborate with application teams on infrastructure design and issues
- Architect solutions that optimally meet business needs
- Implement CI/CD pipelines and automate deployment processes
- Disaster recovery and infrastructure restoration
- Restore/Recovery operations from backups
- Automate routine tasks
- Execute company initiatives in the infrastructure space
- Expertise with observability tools like ELK, Prometheus, Grafana , Loki
Qualifications:
- Proficient understanding of CI/CD pipelines, container orchestration, and various cloud services
- Experience with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc.
- Experience in monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration
- Experience in architecting solutions that optimally meet business needs
- Experience with scripting languages (e.g., Shell, Python) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
- Strong understanding of system concepts like high availability, scalability, and redundancy
- Ability to work with application teams on infrastructure design and issues
- Excellent problem-solving and troubleshooting skills
- Experience with automation of routine tasks
- Good communication and interpersonal skills
Education and Experience:
- Bachelor's degree in Computer Science or a related field
- 5 to 10 years of experience as a DevOps Engineer or in a related role
- Experience with observability tools like ELK, Prometheus, Grafana
Working Conditions:
The DevOps Engineer will work in a fast-paced environment, collaborating with various application teams, stakeholders, and management. They will work both independently and in teams, and they may need to work extended hours or be on call to handle infrastructure emergencies.
Note: This is a remote role. The team member is expected to be in the Bangalore office for one week each quarter.
KubernetesJob Responsibilities:
- Managing and maintaining the efficient functioning of containerized applications and systems within an organization
- Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
- Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
- Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
- Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
- Ensure high availability, security, and scalability of infrastructure through automation and best practices
- Establish and enforce cloud security standards, policies, and procedures Work agile technologies
Primary Requirements:
- Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
- Linux/Unix: Proficiency in administering complex Linux infrastructures and services
- Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the
- knowledge of resource provisioning with Terraform or other Cloud-based utilities
- CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to
- manage the build, test, packaging, containerization and release processes of software
- Scripting & Automation: Strong scripting and process automation skills in Bash, Python
- Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
- Version Control: Proficient with Git and familiar with GitOps workflows.
- Security: Strong understanding of security best practices in cloud and containerized
- environments.
Skills/Traits that would be an advantage:
- Kubernetes administration experience, including installation, configuration, and troubleshooting
- Kubernetes development experience
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
DockerKubernetes Managing cloud-based serverless infrastructure on AWS, GCP(firebase) with IaC
(Terraform, CloudFormation etc.,)
Deploying and maintaining products, services, and network components with a focus
on security, reliability, and zero downtime
Automating and streamlining existing processes to aid the development team
Working with the development team to create ephemeral environments, simplifying
the development lifecycle
Driving forward our blockchain infrastructure by creating and managing validators for
a wide variety of new and existing blockchains
Requirements:
1-3+ years in a SRE / DevOps / DevSecOps or Infrastructure Engineering role
Strong working knowledge of Amazon Web Services (AWS) or GCP or similar cloud
ecosystem
Experience working with declarative Infrastructure-as-Code frameworks(Terraform,
CloudFormation)
Experience with containerization technologies and tools (Docker, Kubernetes), CI/CD
pipelines and Linux/Unix administration
Bonus points - if you know more about crypto, staking, defi, proof-of-stake,
validators, delegations
Benefits:
Competitive CTC on par with market along with ESOPs/Tokens
KubernetesDockerJenkinsAmazon Web Services (AWS)
Who you are
The possibility of having massive societal impact. Our software touches the lives of hundreds of millions of people.
Solving hard governance and societal challenges
Work directly with central and state government leaders and other dignitaries
Mentorship from world class people and rich ecosystems
Position : Architect or Technical Lead - DevOps
Location : Bangalore
Role:
Strong knowledge on architecture and system design skills for multi-tenant, multi-region, redundant and highly- available mission-critical systems.
Clear understanding of core cloud platform technologies across public and private clouds.
Lead DevOps practices for Continuous Integration and Continuous Deployment pipeline and IT operations practices, scaling, metrics, as well as running day-to-day operations from development to production for the platform.
Implement non-functional requirements needed for a world-class reliability, scale, security and cost-efficiency throughout the product development lifecycle.
Drive a culture of automation, and self-service enablement for developers.
Work with information security leadership and technical team to automate security into the platform and services.
Meet infrastructure SLAs and compliance control points of cloud platforms.
Define and contribute to initiatives to continually improve Solution Delivery processes.
Improve organisation’s capability to build, deliver and scale software as a service on the cloud
Interface with Engineering, Product and Technical Architecture group to meet joint objectives.
You are deeply motivated & have knowledge of solving hard to crack societal challenges with the stamina to see it all the way through.
You must have 7+ years of hands-on experience on DevOps, MSA and Kubernetes platform.
You must have 2+ years of strong kubernetes experience and must have CKA (Certified Kubernetes Administrator).
You should be proficient in tools/technologies involved for a microservices architecture and deployed in a multi cloud kubernetes environment.
You should have hands-on experience in architecting and building CI/CD pipelines from code check-in until production.
You should have strong knowledge on Dockers, Jenkins pipeline scripting, Helm charts, kubernetes objects and manifests, prometheus and demonstrate hands-on knowledge of multi cloud computing, storage and networking.
You should have experience in designing, provisioning and administrating using best practices across multiple public cloud offerings (Azure, AWS, GCP) and/or private cloud offerings ( OpenStack, VMware, Nutanix, NIC, bare metal Infra).
You should have experience in setting up logging, monitoring Cloud application performance, error rates, and error budgets while tracking adherence to SLOs and SLAs.
DockerKubernetesAmazon Web Services (AWS)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
DockerKubernetesAmazon Web Services (AWS)- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform etc
DockerKubernetesAmazon Web Services (AWS)
PythonObjectives of this Role
Improve reliability, quality, and time-to-market of our suite of software solutions
- Run the production environment by monitoring availability and taking a holistic view of system health
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer - needs, and innovating to continually improve
- Provide primary operational support and engineering for multiple large distributed software applications
- Participate in system design consulting, platform management, and capacity planning
- Languages: Python, Java, Ruby DSL, Bash
- Databases : MySQL, Cassandra , Elastic Search
- Deployment: AWS CloudFormation
Essential Criteria:
- 8 or more years administrating production Linux systems in a 24x7 environment
- 3 or more years’ experience in a DevOps/ SRE role as an engineer or technical lead
- At least 1 year of team leadership experience
- Significant knowledge of Amazon Web Services (CLI/APIs, EC2, EBS, S3, VPCs, IAM, AWS Lambda)
- Experience deploying services into containerized orchestration environments such as Kubernetes
- Experience with infrastructure automation tools like CloudFormation, Terraform, etc.
- Experience with at least one of Python, Bash, Ruby, or equivalent
- Experience creating and managing CI/CD pipeline like Jenkins or Spinnaker
- Familiar with version control using Git
- Solid understanding of common security principles
Nice to Have:
- Preference for hands on experience with Serverless Architecture, Kubernetes and Docker
- Strong experience with open-source configuration management tools
- Managing distributed systems spanning multiple AWS regions / data-centers
- Experience with bootstrapping solutions
- Open source contributor
- We’re committed to client success: There are over 6,200 brand and retail websites in the Bazaarvoice network. Our clients represent some of the world’s leading companies across a wide range of industries including retail, apparel, automotive, consumer electronics and travel.
- We’re leaders in consumer-generated content: Each month, more than one billion consumers view and share authentic consumer-generated content, such as ratings and reviews, curated photos, social posts and videos, about products in our network. Thousands upon thousands or reviews are added to the Bazaarvoice network everyday.
- Our network delivers: Network analytics provide insights that help marketers and advertisers provide more engaging experiences that drive brand awareness, consideration, sales, and loyalty.
- We’re a great place to work: We pride ourselves on our unique culture. Join a company that values passion, innovation, authenticity, generosity, respect, teamwork, and performance.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon