Ravi Ranjan

Product Manager

Malmo, Skåne County, Sweden10 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building secure cloud-native solutions.
Proven track record in Quantum Computing and AI/ML.
Strong leadership with a focus on ethical decision-making.

Stackforce AI infers this person is a Cloud Computing and AI/ML expert with a focus on security and DevOps.

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Skills

Core Skills

KubernetesCloud-native InfrastructureSecurityQuantum ComputingAi/mlDevops

Other Skills

AWSAkamaiAmazon Web Services (AWS)AnsibleArchitectsBitbucketCI/CDCICDCKACKADCloud ComputingConsulDNSDockerElastX

About

In my work - I help companies build secure, reliable and modern cloud-native solutions that enable them to move faster with confidence. Personality-wise@ I am ambitious, entrepreneurial mindset and practical with a strong commitment to ethical decision-making. Throughout my career, I have taken on diverse and challenging roles in DevOps, Kubernetes, Cybersecurity, Cloud-Native infrastructure, Quantum Computing and AI/ML systems. I have a proven record of delivering practical solutions to complex problems, adopting new technologies quickly and ensuring everything is guided by strong ethics and shared values. My approach is rooted in empathy and compassionate leadership. I believe great results come from truly understanding people, listening carefully and fostering an environment where everyone can do their best work. I believe true success isn’t about personal gain alone but about improving others lives and contributing to society’s values.

Experience

Elastisys

3 roles

Deputy Product Architect

Promoted

May 2023 – Present · 2 yrs 10 mos · Lund, Skåne County, Sweden · Hybrid

Directly reported to CTO and worked closely with Product Owner, aligning Managed Welkin Kubernetes product development strategies with company vision and ensuring coherent product execution.
Responsible for Welkin Production-ready Kubernetes platform, a security-first Kubernetes distribution ensuring EU GDPR and NIS2 compliance.
Architected core cloud-native services (Prometheus, Thanos, OpenSearch, Fluentd, ArgoCD) and hardened security tooling (OPA-Gatekeeper, Falco, Dex, Trivy, Kured) into the Welkin platform.
Ensured robust platform security by implementing a zero-trust architecture, enforcing strict RBAC, comprehensive audit logging and hardened Kubernetes defaults aligned with EU compliance standards (GDPR, NIS2).
Managing other core components of the Welkin Production-ready Kubernetes platform, including Kubernetes, Containerd, Terraform, Kubespray, Cert-manager, Ingress-controller, Calico, Velero, Rclone, Grafana, Thanos etc.
Managing and Development of Additional Managed services like Postgres, Redis, RabbitMQ, ArgoCD and Jaeger ensuring secure and reliable deployments.
Owning and leading architecture meetings, driving technical decision-making and continuous improvement based on team feedback and assessments.
Designing new Welkin/AMS features/states (Alpha, Beta, Production) for current and future quarters defining user stories and epics.
Identification and replacement of proprietary components with upstream open-source alternatives to reduce maintenance costs and improve visibility.
Identification and improvement of internal tooling, procedures, and documentation for potential upstreaming or open sourcing.
Documentation of high-level technical decisions via ADRs, architecture diagrams and tech radar.
Defined and validated acceptance criteria for Product Backlog Items (PBIs), ensuring clarity and shared understanding between business stakeholders and engineering teams to deliver high-quality.

KubernetesCloud-Native infrastructureSecurityDevOpsTerraformOpenShift+2

Senior Managed Service Engineer

Promoted

Feb 2022 – May 2023 · 1 yr 3 mos · Lund, Skåne County, Sweden · Hybrid

Managed Service Engineer

Apr 2021 – Feb 2022 · 10 mos · Lund, Skåne County, Sweden · Hybrid

Qpiai

Technical Manager - DevOps & Infrastructure

Feb 2020 – Mar 2021 · 1 yr 1 mo · Bengaluru, Karnataka, India

Directly reported to CEO, aligning engineering initiatives closely with the company's strategic vision especially around Quantum Computing and AI-driven product innovation.
Led and mentored a cross-functional team of over 10 Data Scientists and 5 DevOps Engineers responsible for delivering robust infrastructure and operational excellence across Quantum and AI platforms.
Built and scaled infrastructure for flagship quantum products i.e QpiAI Pro (End-to-End AutoML & MLOps platform) and QpiAI Explorer (Interactive AI Model Development Platform).
Hands-on setting up the DevOps practice for AI/ML platform and containerization of all the microservices like modelgen , model deploy, model monitor, quantized model etc. and successfully hosting on Kubernetes platform
Integration of all the cutting edge-technologies like Ansible, Docker, Terraform, Flask API, Kubernetes.
Hands-on setting up the scalability of AI/ML product on public cloud provider like AWS, GCP and Azure
Hands-on experience in deploying the AI/ML product on On-premises Data Center and Private cloud like Pivotal Cloud Foundry
Designing and implementing robust CI/CD pipeline solutions for deployment of microservices in Dev, QA and production environment from scratch.
Perform system monitoring, verifying the integrity and availability of servers and storage resources, applications and key processes like Prometheus and Grafana

Quantum ComputingAI/MLDevOpsKubernetesCI/CDTerraform

Tvs next

Technical Lead

Feb 2020 – May 2020 · 3 mos · Bengaluru, Karnataka, India

Cleartrip.com

DevOps Engineer

Jul 2019 – Jan 2020 · 6 mos · Bengaluru Area, India

Expertise with K8s internal architecture like kube-apiserver, ETCD, kube-scheduler, kubelet, controller-manager, kube-proxy, API objects, Ingress etc. and operations and working knowledge of container technologies and the tools
and challenges around them
Expertise on multiple technologies including Cloud and certified on CKA (Certified Kubernetes Administrator), Certified Kubernetes Application Development (CKAD) & Red Hat Certified Specialist in Ansible Automation.
Expertise in managing the Kubernetes(k8) clusters in QA, API-Staging, PROD Environment.
Expertise in Dockerizing the applications written ROR (Ruby on Rails), Java, Node JS, Python etc. with the help of writing “Dockerfile” accordingly.
Expertise in Deployment of apps to the On-Premises Kubernetes(k8) cluster in QA, API-Staging, PROD environment including Canary deployment.
Expertise on setting the Infra – with Kubernetes on Google Cloud Platform – GKE (Google Kubernetes Engine) with the help of Terraform (Infrastructure as a Code).
Expertise in Migration of apps running on AWS to GKE (Google Kubernetes Engine) from the scratch for the cost saving initiative.

KubernetesDockerCI/CDCloud ComputingDevOps

Aspect software (apac)

Sr.Systems Engineer-Cloud SSOC

Feb 2019 – Jul 2019 · 5 mos · Bangalore

Centurylink

System Engineer

Aug 2016 – Feb 2019 · 2 yrs 6 mos · Bangalore

Expertise in infrastructure automation using Ansible for deployments across AWS (Public Cloud) and OpenStack (Private Cloud).
Migrated legacy VM-based applications to containerized microservices using Docker.
Designed, deployed, and managed Kubernetes clusters, including configuration, networking (CNI), and orchestration of containerized applications.
Developed and implemented comprehensive DevOps strategies in heterogeneous Linux environments (Ubuntu, RedHat, CentOS).
Managed container-based deployments, Docker images, Docker registries (Docker Hub), and Kubernetes orchestration for reliable scalability.
Established robust CI/CD pipelines leveraging GitHub and Jenkins, authoring reusable Dockerfiles and Jenkins pipelines for automated builds and deployments.
Conducted extensive Linux system administration, including provisioning (Kickstart/PXE), configuring web servers (Apache/Nginx), file servers (SAMBA, NFS, iSCSI), centralized repository management (RPM, YUM), and database setup (Oracle 11g/12c, PostgreSQL, MariaDB).
Experienced in file system management using LVM (Logical Volume Management).
Managed IT service delivery through ticketing tools (ServiceNow, JIRA, CA, BMC Remedy) and implemented monitoring solutions (Nagios) from scratch.
Led complete server lifecycle management, including commissioning, monitoring, troubleshooting, and decommissioning.
Deep hands-on expertise with KVM-based virtualization and Red Hat Enterprise Virtualization (RHEV), covering installation, VM management, automated deployments, snapshots, migrations, and high availability configurations.
Coordinated effectively across cross-functional teams (Applications, Networking, Security, Database, Storage, Backup & Recovery, Wintel) to efficiently resolve infrastructure issues.
Strong foundation in networking concepts (OSI model, TCP/IP, routing, subnetting) and protocols (OSPF, BGP, EIGRP).