Experience: 12 - 20 years
Responsibilities :
The Cloud Solution Architect/Engineer specializing in migrations is a cloud role in the project delivery cycle with hands on experience migrating customers to the cloud.
Demonstrated experience in cloud infrastructure project deals for hands on migration to public clouds such as Azure.
Strong background in linux/Unix and/or Windows administration
Ability to use wide variety of open source technologies.
Closely work with Architects and customer technical teams in migrating applications to Azure cloud in Architect Role.
Mentor and monitor the junior developers and track their work.
Design as per best practices and insustry standard coding practices
Ensure services are built for performance, scalability, fault tolerance and security with reusable patterns.
Recommend best practises and standards for Azure migrations
Define coding best practices for high performance and guide the team in adopting the same
Skills:
Mandatory:
Experience with cloud migration technologies such as Azure Migrate
Azure trained / certified architect – Associate or Professional Level
Understanding of hybrid cloud solutions and experience of integrating public cloud into tradition hosting/delivery models
Strong understanding of cloud migration techniques and workflows (on premise to Cloud Platforms)
Configuration, migration and deployment experience in Azure apps technologies.
High Availability and Disaster recovery implementations
Experience architecting and deploying multi-tiered applications.
Experience building and deploying multi-tier, scalable, and highly available applications using Java, Microsoft and Database technologies
Experience in performance tuning, including the following ; (load balancing, web servers, content delivery Networks, Caching (Content and API))
Experience in large scale data center migration
Experience of implementing architectural governance and proactively managing issues and risks throughout the delivery lifecycle.
Good familiarity with the disciplines of enterprise software development such as configuration & release management, source code & version controls, and operational considerations such as monitoring and instrumentation
Experience of consulting or service provider roles (internal, or external);
Experience using database technologies like Oracle, MySQL and understanding of NoSQL is preferred.
Experience in designing or implementing data warehouse solutions is highly preferred.
Experience in automation/configuration management using Puppet, Chef, Ansible, Saltstack, Bosh, Terraform or an equivalent.
Experience with source code management tools such as GitHub, GitLab, Bitbucket or equivalent
Experience with SQL and NoSQL DBs such as SQL, MySQL.
Solid understanding of networking and core Internet Protocols such as TCP/IP, DNS, SMTP, HTTP and routing in distributed networks.
A working understanding of code and script such as: PHP, Python, Perl and/or Ruby.
A working understanding with CI/CD tools such as Jenkins or equivalent
A working understanding of scheduling and orchestration with tools such as: kubernetes, Mesos swarm or equivalent.
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Python- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
Machine Learning (ML)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)
Kubernetes
Docker
Amazon Web Services (AWS)Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building a restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.
At Toast, our Site Reliability Engineers (SREs) are responsible for keeping all customer-facing services and other Toast production systems running smoothly. SREs are a blend of pragmatic operators and software craftspeople who apply sound software engineering principles, operational discipline, and mature automation to our environments and our codebase. Our decisions are based on instrumentation and continuous observability, as well as predictions and capacity planning.
About this roll* (Responsibilities)
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Partner with development teams to improve services through rigorous testing and release procedures
- Participate in system design consulting, platform management, and capacity planning
- Create sustainable systems and services through automation and uplift
- Balance feature development speed and reliability with well-defined service level objectives
Troubleshooting and Supporting Escalations:
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Diagnose performance bottlenecks and implement optimizations across infrastructure, databases, web, and mobile applications
- Implement strategies to increase system reliability and performance through on-call rotation and process optimization
- Perform and run blameless RCAs on incidents and outages aggressively, looking for answers that will prevent the incident from ever happening again
Do you have the right ingredients? (Requirements)
- Extensive industry experience with at least 7+ years in SRE and/or DevOps roles
- Polyglot technologist/generalist with a thirst for learning
- Deep understanding of cloud and microservice architecture and the JVM
- Experience with tools such as APM, Terraform, Ansible, GitHub, Jenkins, and Docker
- Experience developing software or software projects in at least four languages, ideally including two of Go, Python, and Java
- Experience with cloud computing technologies ( AWS cloud provider preferred)
Bread puns are encouraged but not required
KubernetesDocker
.NETOddr is looking for a skilled backend engineer to help us build scalable multi-tenanted enterprise Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and develop distributed microservices with a strong emphasis on security, resiliency, scalability, performance, and quality. The candidate should have a solid understanding of CI/CD concepts and familiarity with building deployment pipelines. The candidate should be a self-motivated team player and take pride in what they deliver.
The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.
Requirements:
- Strong understanding of CI/CD concepts and experience building deployment pipelines
- Strong knowledge of working with a CI/CD automation server like Jenkins
- Experience working with Docker containers and Kubernetes
- Familiarity working with Azure tools and services
- Good working knowledge of .NET Core and C#
- Familiarity with Cloud development concepts
- Experience with API-driven development and developing RESTful APIs
- Ability to write clean, well-structured code with adequate test coverage, proper abstraction, and reusability
- Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
- Excellent communication skills
- Excellent problem-solving skills
Minimum qualifications required:
- Bachelor's degree or relevant certification from a reputable institute
- 3-5 years of experience.
Kubernetes- 7+ years of experience in System Administration, Networking, Automation, Monitoring
- Excellent problem solving, analytical skills and technical troubleshooting skills
- Experience managing systems deployed in public cloud platforms (Microsoft Azure, AWS or Google Cloud)
- Experience implementing and maintaining CI/CD pipelines (Jenkins, Concourse, etc.)
- Linux experience, flavours: Ubuntu, Redhat, CentOS (sysadmin, bash scripting)
- Experience setting up monitoring (Datadog, Splunk, etc.)
- Experience in Infrastructure Automation tools like Terraform
- Experience in Package Manager for Kubernetes like Helm Charts
- Experience with databases and data storage (Oracle, MongoDB, Postgres SQL, ELK stack)
- Experience with Docker
- Experience with orchestration technologies (Kubernetes or DC/OS)
- Familiar with Agile Software Development
KubernetesDocker- Responsible for the entire infrastructure including Production (both bare metal and AWS).
- Manage and maintain the production systems and operations including SysAdmin, DB activities.
- Improve tools and processes, automate manual efforts, and maintain the health of the system.
- Champion best practices, CI-CD, Metrics Driven Development
- Optimise the company's computing architecture
- Conduct systems tests for security, performance, and availability
- Maintain security of the system
- Develop and maintain design and troubleshooting documentation
- 7+ years of experience into DevOps/Technical Operations
- Extensive experience in operating scripting language like shell, python, etc
- Experience in developing and maintaining CI/CD process for SaaS applications using tools such as Jenkins
- Hands on experience in using configuration management tools such as Puppet, SaltStack, Ansible, etc
- Hands-on experience to build and handle VMs, Containers utilizing tools such as Kubernetes, Docker, etc
- Hands on experience in building, designing and maintaining cloud-based applications with AWS, Azure,GCP, etc
- Knowledge of Databases (MySQL, NoSQL)
- Knowledge of security/ethical hacking
- Have experience with ElasticSearch, Kibana, LogStash
- Have experience with Cassandra, Hadoop, or Spark
- Have experience with Mongo, Hive
KubernetesDockerAmazon Web Services (AWS)Why you should join us
- You will join the mission to create positive impact on millions of peoples lives
- You get to work on the latest technologies in a culture which encourages experimentation - You get to work with super humans (Psst: Look up these super human1, super human2, super human3, super human4)
- You get to work in an accelerated learning environment
What you will do
- You will provide deep technical expertise to your team in building future ready systems.
- You will help develop a robust roadmap for ensuring operational excellence
- You will setup infrastructure on AWS that will be represented as code
- You will work on several automation projects that provide great developer experience
- You will setup secure, fault tolerant, reliable and performant systems
- You will establish clean and optimised coding standards for your team that are well documented
- You will set up systems in a way that are easy to maintain and provide a great developer experience
- You will actively mentor and participate in knowledge sharing forums
- You will work in an exciting startup environment where you can be ambitious and try new things :)
You should apply if
- You have a strong foundation in Computer Science concepts and programming fundamentals
- You have been working on cloud infrastructure setup, especially on AWS since 8+ years
- You have set up and maintained reliable systems that operate at high scale
- You have experience in hardening and securing cloud infrastructures
- You have a solid understanding of computer networking, network security and CDNs
- Extensive experience in AWS, Kubernetes and optionally Terraform
- Experience in building automation tools for code build and deployment (preferably in JS)
- You understand the hustle of a startup and are good with handling ambiguity
- You are curious, a quick learner and someone who loves to experiment
- You insist on highest standards of quality, maintainability and performance
- You work well in a team to enhance your impact
DockerKubernetesAmazon Web Services (AWS)Understanding of any scripting programming language.
Configuration and managing databases such as MySQL
Working knowledge of various tools, open-source technologies, and cloud services (AWS)
Implementing automation tools(Ansible, Jenkins) for deployment and provisioning IT infrastructure
Excellent troubleshooting of cloud systems.
Awareness of critical concepts in DevOps principles.
Amazon Web Services (AWS)KubernetesDockerGoodera is looking for an experienced and motivated DevOps professional to be an integral part of its core infrastructure team. As a DevOps Engineer, you must be able to troubleshoot production issues, design, implement, and deploy monitoring tools, collaborate with team members to improve the existing and develop new engineering tools, optimize company's computing architecture, design and conduct security, performance, availability and availability tests.
Responsibilities:
This is a highly accountable role and the candidate must meet the following professional expectations:
• Owning and improving the scalability and reliability of our products.
• Working directly with product engineering and infrastructure teams.
• Designing and developing various monitoring system tools.
• Accountable for developing deployment strategies and build configuration management.
• Deploying and updating system and application software.
• Ensure regular, effective communication with team members and cross-functional resources.
• Maintaining a positive and supportive work culture.
• First point of contact for handling customer (may be internal stakeholders) issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Develop tooling and processes to drive and improve customer experience, create playbooks.
• Eliminate manual tasks via configuration management.
• Intelligently migrate services from one AWS region to other AWS regions.
• Create, implement and maintain security policies to ensure ISO/ GDPR / SOC / PCI compliance.
• Verify infrastructure Automation meets compliance goals and is current with disaster recovery plan.
• Evangelize configuration management and automation to other product developers.
• Keep himself updated with upcoming technologies to maintain the state of the art infrastructure.
Required Candidate profile :
• 3+ years of proven experience working in a DevOps environment.
• 3+ years of proven experience working in AWS Cloud environments.
• Solid understanding of networking and security best practices.
• Experience with infrastructure-as-code frameworks such as Ansible, Terraform, Chef, Puppet, CFEngine, etc.
• Experience in scripting or programming languages (Bash, Python, PHP, Node.js, Perl, etc.)
• Experience designing and building web application environments on AWS, including services such as ECS, ECR, Foregate, Lambda, SNS / SQS, CloudFront, Code Build, Code pipeline, Configuring CloudWatch, WAF, Active Directories, Kubernetes (EKS), EC2, S3, ELB, RDS, Redshift etc.
• Hands on Experience in Docker is a big plus.
• Experience working in an Agile, fast paced, DevOps environment.
• Strong Knowledge in DB such as MongoDB / MySQL / DynamoDB / Redis / Cassandra.
• Experience with Open Source and tools such as Haproxy, Apache, Nginx and Nagios etc.
• Fluency with version control systems with a preference for Git *
• Strong Linux-based infrastructures, Linux administration
• Experience with installing and configuring application servers such as WebLogic, JBoss and Tomcat.
• Hands-on in logging, monitoring and alerting tools like ELK, Grafana, Metabase, Monit, Zbbix etc.
• A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead.
d ability to rain others on technical and procedural topics.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon