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)
Shubham Vishwakarma
Full Stack Developer - Averlon
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Experience Required: 8-12 years
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We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.
Key Deliverables (Essential functions & Responsibilities of the Job):
· Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.
· Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.
· Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.
· Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.
· Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.
· Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.
· Work closely with development teams to improve application reliability, scalability, and performance.
· Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.
· Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.
· Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.
Knowledge Skills and Abilities:
· 7+ years of hands-on AWS DevOps experience, especially with middleware services.
· Strong expertise in MongoDB Atlas or other cloud MongoDB services.
· Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.
· Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.
· Excellent scripting skills in Python, Bash, or PowerShell.
· Experience in containerization and orchestration: Docker, EKS, ECS.
· Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.
· Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.
· Ability to solve complex problems and thrive in a fast-paced environment.
Preferred Qualifications
· AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.
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· Experience with serverless services like AWS Lambda, Step Functions.
· Exposure to multi-cloud or hybrid cloud environments.
Mail updated resume with current salary-
Email: etalenthire[at]gmail[dot]com
Satish; 88O 27 49 743
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- Experience in systems administration, SRE or DevOps focused role
- Experience in handling production support (on-call)
- Good understanding of the Linux operating system and networking concepts.
- Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
- Experience with Docker containers and containerization concepts
- Experience with managing and scaling Kubernetes clusters in a production environment
- Experience building scalable infrastructure in AWS with Terraform.
- Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
- Experience monitoring production systems
- Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
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- Ability to work seamlessly with software developers, QA, project managers, and business development
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KubernetesAmazon Web Services (AWS)About the Role:
We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.
Key Responsibilities:
Cloud Management:
- Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
- Develop and manage containerized applications using Docker.
- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
- Build and maintain robust CI/CD pipelines to automate the software delivery process.
- Implement monitoring and alerting to ensure pipeline efficiency.
Version Control & Collaboration:
- Manage code repositories and workflows using Git.
- Collaborate with development teams to optimize branching strategies and code reviews.
Automation & Scripting:
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
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Monitoring & Logging:
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Required Skills & Qualifications:
- 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
- Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
- Hands-on experience building and managing CI/CD pipelines.
- Proficient in using Git for version control.
- Experience with scripting languages such as Bash, Python, or PowerShell.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Solid understanding of networking, security, and system administration.
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DockerAmazon Web Services (AWS)Job Title: DevOps SDE llI
Job Summary
Porter seeks an experienced cloud and DevOps engineer to join our infrastructure platform team. This team is responsible for the organization's cloud platform, CI/CD, and observability infrastructure. As part of this team, you will be responsible for providing a scalable, developer-friendly cloud environment by participating in the design, creation, and implementation of automated processes and architectures to achieve our vision of an ideal cloud platform.
Responsibilities and Duties
In this role, you will
- Own and operate our application stack and AWS infrastructure to orchestrate and manage our applications.
- Support our application teams using AWS by provisioning new infrastructure and contributing to the maintenance and enhancement of existing infrastructure.
- Build out and improve our observability infrastructure.
- Set up automated auditing processes and improve our applications' security posture.
- Participate in troubleshooting infrastructure issues and preparing root cause analysis reports.
- Develop and maintain our internal tooling and automation to manage the lifecycle of our applications, from provisioning to deployment, zero-downtime and canary updates, service discovery, container orchestration, and general operational health.
- Continuously improve our build pipelines, automated deployments, and automated testing.
- Propose, participate in, and document proof of concept projects to improve our infrastructure, security, and observability.
Qualifications and Skills
Hard requirements for this role:
- 5+ years of experience as a DevOps / Infrastructure engineer on AWS.
- Experience with git, CI / CD, and Docker. (We use GitHub, GitHub actions, Jenkins, ECS and Kubernetes).
- Experience in working with infrastructure as code (Terraform/CloudFormation).
- Linux and networking administration experience.
- Strong Linux Shell scripting experience.
- Experience with one programming language and cloud provider SDKs. (Python + boto3 is preferred)
- Experience with configuration management tools like Ansible and Packer.
- Experience with container orchestration tools. (Kubernetes/ECS).
- Database administration experience and the ability to write intermediate-level SQL queries. (We use Postgres)
- AWS SysOps administrator + Developer certification or equivalent knowledge
Good to have:
- Experience working with ELK stack.
- Experience supporting JVM applications.
- Experience working with APM tools is good to have. (We use datadog)
- Experience working in a XaaC environment. (Packer, Ansible/Chef, Terraform/Cloudformation, Helm/Kustomise, Open policy agent/Sentinel)
- Experience working with security tools. (AWS Security Hub/Inspector/GuardDuty)
- Experience with JIRA/Jira help desk.
DockerKubernetesAmazon Web Services (AWS)knowledge of EC2, RDS and S3.
● Good command of Linux environment
● Experience with tools such as Docker, Kubernetes, Redis, NodeJS and Nginx
Server configurations and deployment, Kafka, Elasticsearch, Ansible, Terraform,
etc
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● Bonus: Basic understanding of database queries for relational databases such as
MySQL.
● Bonus: Experience with CI servers such as Jenkins, Travis or similar types
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security through the use of best in class security solutions
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As a DevOps Engineer, you’ll be responsible for ensuring that our products can be seamlessly deployed on infrastructure, whether it is on-prem or on public clouds.
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- Automate our processes in compliance with our security requirements
- Manage code deployments, fixes, updates, and related processes
- Manage environment where we deploy our product to multiple clouds that we control as well as to client-managed environments
- Work with CI and CD tools, and source control such as GIT and SVN. DevOps Engineer
Skills/Requirements:
- 2+ years of experience in DevOps, SRE or equivalent positions
- Experience working with Infrastructure as Code / Automation tools
- Experience in deploying, analysing, and debugging on multiple environments (AWS, Azure, Private Clouds, Data Centres, etc), Linux/Unix administration, Databases such as MySQL, PostgreSQL, NoSQL, DynamoDB, Cosmos DB, MongoDB, Elasticsearch and Redis (both managed instances as well as self-installed).
- Knowledge of scripting languages such as Python, PowerShell and / or Bash.
- Hands-on experience with the following is a must: Docker, Kubernetes, ELK Stack
- Hands-on experience with at least three of the following- Terraform, AWS Cloud Formation, Jenkins, Wazuh SIEM, Ansible, Ansible Tower ,Puppet ,Chef
- Good troubleshooting skills with the ability to spot issues.
- Strong communication skills and documentation skills.
- Experience with deployments with Fortune 500 or other large Global Enterprise clients is a big plus
- Experience with participating in an ISO27001 certification / renewal cycle is a plus.
- Understanding of Information Security fundamentals and compliance requirements
Work From Home
Start Up Background is preferred
Company Location: Noida
Amazon Web Services (AWS)
JenkinsKubernetesResponsibilities:
- Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
- Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
- Creating the Architecture Diagrams and documentation for various pieces
- Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response
Requirements:
- 3 - 5 years of professional experience as a DevOps / System Engineer.
- Strong knowledge in Systems Administration & troubleshooting skills with Linux.
- Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
- Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
- Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
- Experience in Infrastructure as code development using Terraform.
- Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
- Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
- Experience with GIT Version Control Software.
- Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
- Strong interpersonal and communication skills; ability to work in a team environment.
- AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
- Setup and management of a Kubernetes cluster, including writing Docker files.
- Experience working in and advocating for agile environments.
- Knowledge in Microservice architecture.
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DockerKubernetesAmazon Web Services (AWS)About Us
At Digilytics™, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients’ business.
Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilytics™ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics™ leadership is focused on building a values-first firm that will stand the test of time.
We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.
The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.
Website: http://www.digilytics.ai">www.digilytics.ai
- Know about our product
- https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
- https://www.digilytics.ai/RevUP/">Digilytics RelUP
- What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
- Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z
Responsibilities
- Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
- Hands-on experience on Kubernetes/Docker/helm.
- Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
- Linux – Must have basic knowledge- User creation/deletion, ACL, LVM etc.
- CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
- Experience with SharePoint and O365 administration
- Azure/Kubernetes certification will be preferred.
- Microsoft Partnership experience is good to have.
- Excellent understanding of required technologies
- Good interpersonal skills and the ability to communicate ideas clearly at all levels
- Ability to work in unfamiliar business areas and to use your skills to create solutions
- Ability to both work in and lead a team and to deliver and accept peer review
- Flexible approach to working environment and hours to meet the needs of the business and clients
Must Haves:
- Hands-on experience on Kubernetes/Docker/helm.
- Experience on Azure/Aws or any other cloud provider.
- Linux & CI/CD tools knowledge.
Experience & Education:
- A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
- Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
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- A bachelor's degree, or equivalent, in Software Engineering and Computer Science
KubernetesDockerAbout 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
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.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon