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
About Bell Techlogix
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Amazon Web Services (AWS)
Docker
GitHubAbout the Company
We are building an AI-driven platform focused on redefining how individuals explore and understand global markets. We are building a modern analytics layer that simplifies complex financial data into intuitive, structured insights.
Our approach combines data science, AI, and systematic frameworks to bring clarity, transparency, and accessibility to market intelligence.
- Mission: To build trustworthy, data-driven platforms that simplify complex markets and empower users to make informed decisions.
- Values: Customer-centricity, ownership, integrity, and continuous improvement.
- Culture: Collaborative, inclusive, experiment-driven, and supportive of professional growth.
- Why join: Opportunity to work on production SaaS and AI features, take high ownership, and make a visible impact on product direction.
About the Role
We are looking for a DevOps Engineer to manage deployments, cloud infrastructure, and system reliability while ensuring secure and scalable systems.
You will work on a live SaaS product and upcoming AI-driven modules, contributing directly to production systems.
Key Responsibilities
DevOps (Core):
- Set up and manage CI/CD pipelines (GitHub Actions preferred)
- Deploy and manage applications on AWS or similar cloud platforms
- Manage Linux-based servers and environments
- Ensure high availability, uptime, and performance
- Automate deployment workflows
Security (Integrated):
- Implement secure deployment practices
- Manage access control, secrets, and credentials
- Monitor logs and system activity
- Identify and fix basic vulnerabilities
- Support audit/log requirements (future compliance readiness)
Requirements
- 1–3 years of experience in DevOps / Cloud / System Administration
- Strong hands-on experience with Linux systems
- Experience with AWS or any cloud platform
- Experience with CI/CD tools (GitHub Actions preferred)
- Understanding of networking basics (DNS, HTTP/HTTPS, ports)
- Experience with Git & version control
Good to Have
- Docker / containerization
- Experience with Python-based deployments
- Basic knowledge of databases (PostgreSQL or similar)
- Monitoring/logging tools
- Basic understanding of security concepts (OWASP, API security)
Amazon Web Services (AWS)
MongoDB-
Working with Ruby, Python, Perl, and Java
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Troubleshooting and having working knowledge of various tools, open-source technologies, and cloud services.
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Configuring and managing databases and cache layers such as MySQL, Mongo, Elasticsearch, Redis
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Setting up all databases and for optimisations (sharding, replication, shell scripting etc)
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Creating user, Domain handling, Service handling, Backup management, Port management, SSL services
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Planning, testing & development of IT Infrastructure ( Server configuration and Database) and handling the technical issue related to server Docker and VM optimization
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Demonstrate awareness of DB management, server related work, Elasticsearch.
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Selecting and deploying appropriate CI/CD tools
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Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
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Experience working on Linux based infrastructure
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Awareness of critical concepts in DevOps and Agile principles
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6-8 years of experience
Docker
KubernetesKey Sills Required for Lead DevOps Engineer
Containerization Technologies
Docker, Kubernetes, OpenShift
Cloud Technologies
AWS/Azure, GCP
CI/CD Pipeline Tools
Jenkins, Azure Devops
Configuration Management Tools
Ansible, Chef,
SCM Tools
Git, GitHub, Bitbucket
Monitoring Tools
New Relic, Nagios, Prometheus
Cloud Infra Automation
Terraform
Scripting Languages
Python, Shell, Groovy
· Ability to decide the Architecture for the project and tools as per the availability
· Sound knowledge required in the deployment strategies and able to define the timelines
· Team handling skills are a must
· Debugging skills are an advantage
· Good to have knowledge of Databases like Mysql, Postgresql
It is advantageous to be familiar with Kafka. RabbitMQ
· Good to have knowledge of Web servers to deploy web applications
· Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning
· Advantage to having experience in DevSecOps
Note: Tools mentioned in bold are a must and others are added advantage
KubernetesDocker|
Numerator is looking for an experienced, talented and quick-thinking DevOps Manager to join our team and work with the Global DevOps groups to keep infrastructure up to date and continuously advancing. This is a unique opportunity where you will get the chance to work on the infrastructure of both established and greenfield products. Our technology harnesses consumer-related data in many ways including gamified mobile apps, sophisticated web crawling and enhanced Deep Learning algorithms to deliver an unmatched view of the consumer shopping experience. As a member of the Numerator DevOps Engineering team, you will make an immediate impact as you help build out and expand our technology platforms from on-premise to the cloud across a wide range of software ecosystems. Many of your daily tasks and engagement with applications teams will help shape how new projects are delivered at scale to meet our clients demands. This role requires a balance between hands-on infrastructure-as-code deployments with application teams as well as working with Global DevOps Team to roll out new initiatives. What you will get to do
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Amazon Web Services (AWS)DockerKubernetesMactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases.
You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
- Automate infrastructure creation with Terraform, AWS Cloud Formation
- Perform application configuration management, and application-deployment tool enabling infrastructure as code.
- Take ownership of the Build and release cycle of the customer project.
- Share the responsibility for deploying releases and conducting other operations maintenance.
- Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
- Provide operational support for the rest of the Engineering team help migrate our remaining dedicated hardware infrastructure to the cloud.
- Establish and maintain operational best practices.
- Participate in hiring culturally fit engineers in the organization, help engineers make their career paths by consulting with them.
- Design the team strategy in collaboration with founders of the organization.
What are we looking for?
- 4+ years of experience in using Terraform for IaaC
- 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process.
- 4+ years of Linux or Windows Administration experience.
- 4+ years of version control systems (git), including branching and merging strategies.
- 2+ Experience in working with AWS Infrastructure, and platform services.
- 2+ Experience in cloud automation tools (Ansible, Chef).
- Exposure to working on container services like Kubernetes on AWS, ECS, and EKS
- You are extremely proactive at identifying ways to improve things and to make them more reliable.
You will be preferred if
- Expertise in multiple cloud services provider: Amazon Web Services, Microsoft Azure, Google Cloud Platform
- AWS Solutions Architect Professional or Associate Level Certificate
- AWS DevOps Professional Certificate
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
Amazon Web Services (AWS)Kubernetes
Git- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
KubernetesDockerAmazon Web Services (AWS)Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Amazon Web Services (AWS)
Python
JenkinsExperience of Linux
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Kubernetes
JavascriptDockerRole – Devops
Experience 3 – 6 Years
Roles & Responsibilities –
- 3-6 years of experience in deploying and managing highly scalable fault resilient systems
- Strong experience in container orchestration and server automation tools such as Kubernetes, Google Container Engine, Docker Swarm, Ansible, Terraform
- Strong experience with Linux-based infrastructures, Linux/Unix administration, AWS, Google Cloud, Azure
- Strong experience with databases such as MySQL, Hadoop, Elasticsearch, Redis, Cassandra, and MongoDB.
- Knowledge of scripting languages such as Java, JavaScript, Python, PHP, Groovy, Bash.
- Experience in configuring CI/CD pipelines using Jenkins, GitLab CI, Travis.
- Proficient in technologies such as Docker, Kafka, Raft and Vagrant
- Experience in implementing queueing services such as RabbitMQ, Beanstalkd, Amazon SQS and knowledge in ElasticStack is a plus.
Amazon Web Services (AWS)DockerTotal Experience: 6 – 12 Years
Required Skills and Experience
- 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
- 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
- Building and running Docker images and deployment on Amazon ECS
- Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
- Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
- Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
- Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
- Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
- Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
- Understanding of IAM, RBAC, NACLs, and KMS
- Good communication skills
Good to have:
- Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
- Knowledge of database administration such as MongoDB.
- Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
Responsibilities
- Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
- Establish and promote DevOps thinking, guidelines, best practices, and standards.
- Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon