
- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field

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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)
DevOps Engineer (Cloud & Infrastructure)
📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–4 years
About TestMu AI
TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.
- Full-Stack AI Agents: Autonomously plan, author, execute, and analyze tests across the SDLC.
- Comprehensive Coverage: Supports web, mobile, and enterprise applications.
- Real-World Testing: Scale execution across real devices, browsers, and custom environments.
About the Role
This isn't a role for someone who just wants to "maintain" systems. As a DevOps Engineer at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.
You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.
Key Responsibilities: The Pillars of Growth
A. DevOps & Automation (50% Focus)
- Platform Orchestration: Lead the migration to modular, self-healing Terraform and Helm templates.
- Agentic CI/CD: Architect GitHub Actions workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management of Docker and K8s clusters to support scalable production workloads.
- Predictive Observability: Use Prometheus, Grafana, and ELK to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets in Azure/AWS/GCP, paired with physical VLANs and switches in our data centers.
- Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
- Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
- Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.
C. Development & Scripting (20% Focus)
- Backend Integration: Debug and optimize Python or Go code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotent Bash/Python scripts to automate complex, multi-server operational tasks.
- Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".
The Interview Journey
We value your ability to solve problems under pressure more than your ability to memorize documentation.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.
Growth Timeline
This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move into Senior DevOps Engineer or Infrastructure Architect roles as our pods scale.
Perks That Matter
Health Cover: Comprehensive insurance for you and your family.
Fresh Meals: Daily catered meals at the office.
Transport: Safe cab facilities for eligible shifts.
Pod Budgets: Dedicated engagement budgets for team building and offsites.
Job Description: DevOps Engineer
About Hyno:
Hyno Technologies is a unique blend of top-notch designers and world-class developers for new-age product development. Within the last 2 years we have collaborated with 32 young startups from India, US and EU to to find the optimum solution to their complex business problems. We have helped them to address the issues of scalability and optimisation through the use of technology and minimal cost. To us any new challenge is an opportunity.
As part of Hyno’s expansion plans,Hyno, in partnership with Sparity, is seeking an experienced DevOps Engineer to join our dynamic team. As a DevOps Engineer, you will play a crucial role in enhancing our software development processes, optimising system infrastructure, and ensuring the seamless deployment of applications. If you are passionate about leveraging cutting-edge technologies to drive efficiency, reliability, and scalability in software development, this is the perfect opportunity for you.
Position: DevOps Engineer
Experience: 5-7 years
Responsibilities:
- Collaborate with cross-functional teams to design, develop, and implement CI/CD pipelines for automated application deployment, testing, and monitoring.
- Manage and maintain cloud infrastructure using tools like AWS, Azure, or GCP, ensuring scalability, security, and high availability.
- Develop and implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and management of resources.
- Constantly evaluate continuous integration and continuous deployment solutions as the industry evolves, and develop standardised best practices.
- Work closely with development teams to provide support and guidance in building applications with a focus on scalability, reliability, and security.
- Perform regular security assessments and implement best practices for securing the entire development and deployment pipeline.
- Troubleshoot and resolve issues related to infrastructure, deployment, and application performance in a timely manner.
- Follow regulatory and ISO 13485 requirements.
- Stay updated with industry trends and emerging technologies in the DevOps and cloud space, and proactively suggest improvements to current processes.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience).
- Minimum of 5 years of hands-on experience in DevOps, system administration, or related roles.
- Solid understanding of containerization technologies (Docker, Kubernetes) and orchestration tools
- Strong experience with cloud platforms such as AWS, Azure, or GCP, including services like ECS, S3, RDS, and more.
- Proficiency in at least one programming/scripting language such as Python, Bash, or PowerShell..
- Demonstrated experience in building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
- Familiarity with configuration management tools like Ansible, Puppet, or Chef.
- Experience with container (Docker, ECS, EKS), serverless (Lambda), and Virtual Machine (VMware, KVM) architectures.
- Experience with infrastructure as code (IaC) tools like Terraform, CloudFormation, or Pulumi.
- Strong knowledge of monitoring and logging tools such as Prometheus, ELK stack, or Splunk.
- Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
- Strong communication skills and the ability to work independently as well as in a team.
Nice to Have:
- Relevant certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, Certified Kubernetes Administrator (CKA), etc.
- Experience with microservices architecture and serverless computing.
Soft Skills:
- Excellent written and verbal communication skills.
- Ability to manage conflict effectively.
- Ability to adapt and be productive in a dynamic environment.
- Strong communication and collaboration skills supporting multiple stakeholders and business operations.
- Self-starter, self-managed, and a team player.
Join us in shaping the future of DevOps at Hyno in collaboration with Sparity. If you are a highly motivated and skilled DevOps Engineer, eager to make an impact in a remote setting, we'd love to hear from you.
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
● Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team
● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
● Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
● Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
● Ensuring scaled database setup/montioring with near zero downtime
Key Skills:
● Hands-on software development experience in Python, NodeJS, or Java
● 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
● 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
● Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,Dynatrace, Nagios, etc.
● Hands-on experience with AWS Cloud – EC2, S3 Buckets, RDS
● Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,Ansible, Chef, Puppet) and Version control tools
● Hands-on experience with configuration management (Chef/Ansible)
● Experience in designing High Availability infrastructure and planning for Disaster Recovery solutions
Regards
Team Merito
We are global expert in cloud consulting and service management, focusing exclusively on the Cloud DevOps Space. In short, we strive to be at the forefront in this era of digital disruption by being dynamic, agile and cohesive in providing businesses the solutions needed to leverage it to the next level. Our expert team of Engineers, Programmers, Designers and Business development professionals are the foundations of our firm with the fusion of cutting-edge technology.Nimble IT Consulting is vested in Research and Analysis of Current and Upcoming trends, be it Technology, Business Values and User Experience, we dedicate our efforts tirelessly to be at the pinnacle of the Quality Standards. Devising solutions that are just not only being approved or followed by industry leaders in fact they depend on it. Read more about us: https://nimbleitconsulting.com/" target="_blank">https://nimbleitconsulting.com
What we are looking for
A DevOps Engineer to join our team and provide consulting services to our clients, below is the technology stack we are interested in
Technical skills
- Expertise in implementing and managing Devops CI/CD pipeline. ( either using Jenkins or Azure DevOps )
- At least one AWS or Azure Certification
- Terraform Scripting
- Hands-on experience with git and source code management and release management.
- Experience in DevOps automation tools. And Very well versed with DevOps principles and the Agile Frameworks.
- Working knowledge of scripting using shell, Python, Gradle, Yaml, Ansible or puppet or chef.
- Working knowledge of build systems for various technologies like npm, maven etc.
- Experience and good understanding in any of Cloud platforms like AWS, Azure or Google cloud.
- Hands on Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues. Experience with working with ticketing tools (Jira & Service now)
- A programming language like Java, Go , NodeJS is a nice to have.
- Work Permit for United Kingdom ( tier 2 visa ) total duration of visa will be 5 years ( first 2 years and then 3 year extension)
- At the end of the 5 years you will be eligible for British Citizenship by applying for Indefinite leave to remain in the UK
- Learn new technologies - We won’t ever expect you to do the same thing day in day out; we want to
- give you the chance to explore the latest techniques to solve challenging technical problems and help
- you become the best developer you can be.
- Join a growing agile team that are consistently delivering.
- Technical Development Program
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the
basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Us:
Varivas is a community that allows users to create, support, and recommend content. The mission of Varivas is to give community freedom, ease, and complete control of their content.
Varivas is an early-stage startup looking for its first few members.
https://www.varivas.community/
Become part of a core team of an upcoming startup building an exciting product from scratch.
Your Responsibilities:
- Write scalable backend code and audit existing backend code for sanity, performance and security
- Design and implementation of on-demand scalable, and performant applications.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Incidence management and root cause analysis
- Selecting and deploying appropriate CI/CD tools for various test automation frameworks
- Monitoring the processes during the entire lifecycle Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Achieve repeatability, fast recovery, best practices, and delegate proper ownership permissions to teams
- Analyzes the technology currently being used and develops plans and processes for improvement and expansion for better cost and efficiency
- Collaborate with and assist QA in performing load tests and assessing performance optimization
- writing and maintaining the DevOps processes in tools such as confluence
We are looking for someone who is:
- Ready to take complete ownership of the whole infra at Varivas
- Has previous experience in building and maintaining live production app
- You have an eye for detail.
- You’re a problem solver and a perpetual learner.
- You possess a positive and solution-oriented mindset.
- Good Problem-solving skills and troubleshooting
- Build high-performing web and native applications that are robust and easy to maintain
Our Current DevOps stack:
- Github/bitbucket
- Azure cloud storage
- MongoDB Atlas
- JIRA
- Selenium, cypress test automation
- Heroku/digital ocean
- GoDaddy
- Google Analytics/search console
- SendGrid
- sentry.io
- hotjar
What we can offer:
- Payment for work done (of course 🙂)
- Remote work from anywhere
- part time or full time engagement
- Complete flexibility of working hours
- Complete freedom and ownership of your work
- No meetings, standups, or daily status group calls. (We prefer asynchronous communication like slack)
- Lead, inspire, and influence to make sure your team is successful
- Partner with the recruiting team to attract and retain high-quality and diverse talent
- Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
- Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
- Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp
You'll need:
- BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
- Strong fundamentals in distributed systems design and development
- Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
- Experience running production services in Public Clouds such as AWS, GCP, and Azure
- Experience with running large stateful data systems in the Cloud
- Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
- A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
- Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team
- Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
- Familiarity with Python-related technologies and frameworks like Django or Pyramid.
- Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
- Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
- Familiarity with task queue frameworks like Celery or Pika is a plus.
- Source code management and Implementation of security best practices.
- Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
- Good understanding & implementation experience using 12-factor App principles
- Awareness of Cloud Security concepts
- Awareness of Information Security concepts and Best Practices

- He has to perform architectural analysis, and he should know how to design enterprise-level systems.
- He should know how to design and simulate tools for the perfect delivery of systems.
- He should know how to design, develop, and maintain systems, processes, procedures to deliver a high-quality service design.
- He has to work with other members of a team and other departments to establish healthy communication and information flow.
- He should know how to deliver a high-performing solution architecture that can support the development efforts of a business.
- He has to plan, design, and configure the most typical business solutions as needed.
- He has to prepare technical documents and other presentations for multiple solutions areas.
- He has to be sure that the best practices for configuration management are carried our as it was needed.
- He has to work on customer specifications, analyze them, and conduct the best product recommendations associated with the platform
Requirements
- AWS Solution Architect 9-10 Years
- Responsible for managing applications on public cloud (AWS) infrastructure.
- Responsible for larger migrations of applications from VM to cloud/cloud-native.
- Responsible for setting up monitoring for cloud/cloud-native-based infrastructure and applications.
- MUST: AWS Solution Architect Professional certification.










