YOUR ROLE SPECIFICATIONS
Areas of responsibility include but not limited to:
- Create and execute a strategy and roadmap to migrate to Dynamics 365 for all business units.
- Lead and support Trade & Logistics and Manufacturing process areas in MS Dynamics AX2012, across business units in 9+ countries.
- Interact with and manage key stakeholders in Supply Chain, Manufacturing and Sales functions to ensure seamless business execution and drive enhanced value from ERP and related IT solutions through process standardization and integration.
- Responsible for managing the MS Dynamics AX upgrades, enhancements, new functionalities, business case development and performance measurement as needed by the businesses from time-to-time.
- Evaluate and drive adoption of new technologies (like Bar Code based Inventory Management, Warehouse Management Systems, EDI interfaces with customers and 3PL partners, etc.) in Supply Chain and Manufacturing processes
- Evaluate and recommend business process improvement solutions using industry best practices.
- Manage Application Management Support (through a team from our IT Partner) for T&L and Manufacturing processes of MS Dynamics AX2012 currently and Dynamics 365 subsequently, ensuring adherence to agreed SLAs.
- Drive implementation and adoption of business analytics and KPIs using solutions like Data warehouse and Qlikview.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)About the Role
We are looking for a Senior DevOps Engineer to lead the design, automation, and scaling of our hybrid cloud infrastructure spanning public cloud and private/on-premises environments. You will partner closely with software engineering, security, and product teams to build reliable, secure, and high-performance systems that support rapid product delivery. This is a hands-on role with significant influence over our infrastructure strategy, deployment workflows, and engineering culture.
Key Responsibilities
- Architect, deploy, and maintain scalable, highly available infrastructure across both public cloud (AWS, Azure, GCP) and private cloud platforms (OpenStack, VMware vSphere/Tanzu, Nutanix, or similar).
- Operate and maintain on-premises infrastructure: hypervisors, compute, storage (Ceph, NetApp, SAN/NAS), networking (SDN, VLANs, BGP, MPLS), and hardware capacity planning, alongside their public cloud equivalents.
- Design and own CI/CD pipelines that deploy seamlessly across public and private environments.
- Implement and manage Infrastructure as Code (Terraform, Ansible, Pulumi) with strong version control and review practices, using providers for both public and private cloud platforms.
- Manage container orchestration (Kubernetes, ECS, OpenShift, Rancher) across managed cloud services and self-managed/bare-metal clusters, including upgrades, autoscaling, and workload reliability.
- Build observability into all systems through logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, ELK, or similar) with unified visibility across hybrid environments.
- Champion security best practices: secrets management, IAM hardening, network segmentation, vulnerability scanning, and compliance (SOC 2, ISO 27001, HIPAA, or data-sovereignty requirements).
- Lead incident response, root-cause analysis, and post-mortems; drive long-term reliability improvements and SLO/SLA adherence.
- Optimize cost, capacity, and resource utilization across public cloud spend and on-premises hardware without compromising performance or availability.
- Partner with data center operations and network providers on hardware provisioning, firmware management, MPLS circuit management, and lifecycle planning.
- Mentor junior DevOps and software engineers; promote DevOps culture, automation-first thinking, and shared ownership of production.
- Evaluate and introduce new tools, platforms, and processes that improve developer productivity and system reliability.
Required Qualifications
- 5+ years of experience in DevOps, SRE, or Platform Engineering roles, with at least 2 years at a senior level.
- Deep expertise with at least one major public cloud provider (AWS, Azure, or GCP) in production.
- Hands-on experience operating private cloud or virtualization platforms (OpenStack, VMware, Nutanix, or equivalent) in production.
- Strong experience with virtualization, storage systems, and enterprise networking in on-premises environments.
- Strong hands-on experience with Kubernetes in production, including both managed cloud and self-managed/bare-metal clusters.
- Proficiency in Infrastructure as Code (Terraform and Ansible strongly preferred).
- Solid scripting and programming skills in Python, Go, Bash, or similar.
- Experience designing and operating CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or ArgoCD.
- Strong Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, VPNs, firewalls, routing, MPLS).
- Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, New Relic, ELK, or OpenTelemetry).
- Proven track record of leading incident response and improving system reliability.
- Excellent communication skills and the ability to collaborate across engineering, security, infrastructure, and product teams.
Preferred Qualifications
- Experience designing hybrid and multi-cloud architectures, including secure connectivity (Direct Connect, ExpressRoute, MPLS, VPN, SD-WAN) between public and private environments.
- Familiarity with service meshes (Istio, Linkerd), API gateways, and GitOps workflows (ArgoCD, Flux).
- Background in security-focused or regulated environments and exposure to compliance frameworks.
- Experience with database administration (PostgreSQL, MySQL, Redis, MongoDB) in cloud-managed and self-hosted setups.
- Contributions to open-source DevOps or cloud infrastructure tooling.
- Relevant certifications (AWS Solutions Architect / DevOps Engineer, Azure Administrator, CKA, CKAD, RHCE, VMware VCP, OpenStack Certified Administrator, HashiCorp Terraform Associate).
Kubernetes
DockerAmazon Web Services (AWS)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.
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)Greetings!
Wissen Technology is hiring for Kubernetes Lead/Admin.
Required:
- 7+ years of relevant experience in Kubernetes
- Must have hands on experience on Implementation, CI/CD pipeline, EKS architecture, ArgoCD & Statefulset services.
- Good to have exposure on scripting languages
- Should be open to work from Chennai
- Work mode will be Hybrid
Company profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Bangalore
Website : www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: https://www.linkedin.com/company/wissen-technology
Kubernetes
PythonWe are a managed video calling solution built on top of WebRTC, which allows it's
customers to integrate live video-calls within existing solutions in less than 10 lines of
code. We provide a completely managed SDK that solves the problem of battling
endless cases of video calling APIs.
Location - Bangalore (Remote)
Experience - 3+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
JavascriptWe are looking for an experienced DevOps engineer that will help our team establish DevOps
practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices. This would be a hybrid role and the person would be expected to also do some application-level programming in their downtime.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and
platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration
management tools with a goal to be able to re-provision environments at any point in
time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand based
auto scaling.
- Have on call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom
workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a
sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming
languages.
- Extensive experience in any Javascript based framework since we will be deploying
services to NodeJS on AWS Lambda (Serverless)
- Extensive experience with web servers such as Nginx/Apache
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.
Role : SRE
Experience : 4 - 8 Years
- Experience in building, deploying and operating cloud solutions on Kubernetes
- Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
- Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
- Hands-on experience as a DevOps or Automation development
- Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
- Experience working with Helm Charts and building out Infrastructure As Code (IaC)
- Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
- Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
- Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
- Architected CNF Orchestration with Kubernetes
- Strong understanding of the principles of 12-factor apps and modern containerized microservices
- Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
- Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL
KubernetesDockerAmazon Web Services (AWS)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.
Duties and Responsibilities :
- Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
- Build, release, and configuration management of production systems.
- System troubleshooting and problem-solving across platform and application domains.
- Suggesting architecture improvements, recommending process improvements.
- Evaluate new technology options and vendor products.
- Function well in a fast-paced, rapidly-changing environment
- Communicate effectively with people at all levels of the organization
Qualifications and Required Skills:
- Overall 3+ years of experience in various software engineering roles.
- 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
- Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
- Expertise in any of the programming languages – (NodeJS or Python preferable)
- Must have hands-on experience in using AWS/Azure - SDK/APIs.
- Must have experience in deploying, releasing, and managing production systems
- MCA or a degree in engineering in Computer Science, IT, or Electronics stream
JenkinsAmazon Web Services (AWS)PythonMust Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon