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MatchPoint Solutions, a global IT engineering services firm, is hiring an Azure DevOps Engineer in India. The role builds Azure infrastructure-as-code (Bicep/ARM), Azure DevOps YAML pipelines, and security-conscious PowerShell automation, and works with Entra ID, Azure CLI/KQL, Azure AI services, and Datadog monitoring.
A ServiceNow developer role in Hyderabad: the engineer develops, configures, and customizes ServiceNow applications day to day, working across ITSM modules, CMDB, scripting (Business Rules, Client Scripts, Script Includes), Flow Designer workflows, and REST/SOAP integrations.
Moneyview is hiring an SDE I - AI Engineer (1-2 years experience) in Bangalore to build AI features using Python, RAG, MCP, evals, AI memory, and Langchain, including fine-tuning and building small language models. Prior Java experience is a plus.
DevOps Engineer at Forage AI designing and operating AWS cloud infrastructure, CI/CD pipelines, infrastructure-as-code, and observability platforms, while writing Python automation and platform tooling for large-scale data processing systems. Remote within India; salary up to Rs. 9 LPA.
Software engineer (4+ years) building and maintaining applications across Java (Spring/Spring Boot) and .NET (C#) stacks, designing RESTful APIs, optimizing relational databases, and supporting CI/CD, with use of Claude AI. On-site role based at Mira Road/Goregaon East, Mumbai.
Freedom Consulting Inc. is hiring a senior ServiceNow developer (8+ years) in Mohali, India, to design, build, and implement ServiceNow ITSM solutions for clients. Day to day involves requirement gathering, gap analysis, configuring UI policies, client scripts, catalogs, and building user experiences with Next Experience, UI Builder, and Workspaces.
Backend Software Engineer at Geidea, a digital payments company, building and maintaining scalable Java/Spring Boot microservices and REST APIs for the Geidea Store platform — covering device management, software distribution, telemetry, and authentication — in collaboration with Android, frontend, QA, and DevOps teams in Bangalore.
A senior DevOps engineer (7-8+ years) designs, builds, and operates secure, scalable AWS cloud infrastructure across client and internal projects, managing CI/CD pipelines (GitHub Actions, Jenkins), Kubernetes/EKS, Docker, Helm, and IaC with CloudFormation/Terraform, plus monitoring with Grafana/Prometheus and troubleshooting production issues.
A mid-level full-stack engineer joins the product team of a financial & accounting technology company in Ahmedabad, building scalable features with C#/.NET Core and REST APIs on the backend and Angular/React/Next.js on the frontend, working with SQL Server, PostgreSQL and Cosmos DB in an agile product lifecycle.
Senior DevOps engineer at Optum (UnitedHealth Group's health services arm) designing scalable, automated cloud infrastructure across GCP/AWS/Azure using Terraform, Python, Kubernetes, Docker, and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI), with monitoring via Prometheus, Grafana, and Datadog. Involves mentoring, incident response, and a 16x5 rotational shift model across multiple India l
Senior DevOps engineer in Mumbai building observability, CI/CD, and scalable hybrid (on-prem + cloud) infrastructure for web and AI/ML applications, including GPU clusters and production model deployment. Core stack: Prometheus/Grafana, Terraform/Ansible, Jenkins/GitHub Actions, Docker/Kubernetes, and NVIDIA CUDA.
DevOps Engineer at Niraiva Tech (India GCC of a US-headquartered tech services firm) who architects and manages secure, automated cloud infrastructure on Azure and AWS, builds CI/CD pipelines, uses IaC tools like Terraform, and runs containerized microservices on Docker/Kubernetes while embedding DevSecOps practices.
Level 3 Azure Support DevOps engineer at ALIANDO, a Microsoft-focused managed services provider. Day to day: support and troubleshoot Azure IaaS/PaaS for customers, deploy infrastructure with Terraform and Azure DevOps, lead migration projects, document solutions, mentor support engineers, and join a limited 24x7 on-call rotation.
adesso India is hiring a DevOps Engineer in Maharashtra with 3+ years of experience to manage production systems, automation, and cloud-native infrastructure. Day to day involves running Kubernetes and Docker workloads on Azure, building CI/CD pipelines with Terraform, and monitoring with Prometheus and Grafana.
Hands-on DevOps/SRE engineer to own and scale Zenda's Azure cloud infrastructure and production Kubernetes (AKS) platform end to end — IaC with Terraform/Ansible, CI/CD via Jenkins and Flux/Argo CD, Datadog observability, DevSecOps, and incident response. Requires 5+ years running production infrastructure at scale.
DevOps engineer at RTDS, a cloud hosting and cloud services provider in Gurugram, India. Day to day: operating production Kubernetes and private/public cloud (OpenStack, AWS/Azure/GCP), writing Go tooling, automating with Terraform/Ansible and Jenkins CI/CD, and running Linux, networking, and observability stacks like Prometheus and Grafana.
A DevOps Engineer (1–2+ years experience) in Bangalore who manages Linux servers and AWS cloud infrastructure for a FinTech company, handling web server/DNS/SSL configuration, LAMP/LEMP environments, shell-script automation, CI/CD support, and server monitoring and security.
Senior DevOps Engineer working from the Ahmedabad office who designs CI/CD pipelines, manages AWS and Azure cloud infrastructure using Terraform and Kubernetes, and drives automation, monitoring/observability, and security best practices across development teams.
NetDevOps Consultant driving network integration, automation, and orchestration across cloud, edge, and enterprise environments: building Network IaC with Python, Ansible, and Terraform, CI/CD/GitOps pipelines, AIOps-driven observability (SolarWinds, Grafana, Elastic), and SRE-aligned 24x7 operations across LAN/WAN, SD-WAN, data center, and firewall domains.
Senior DevOps Engineer who designs, deploys, and maintains GCP cloud infrastructure powering the company's AI-native products, partnering with AI/ML teams to ship models, LLMs, and agentic workflows to production. Core stack: GCP/GKE, Docker, Kubernetes, Terraform, CI/CD (GitHub Actions/GitLab CI/Cloud Build), Python, Bash, and Prometheus/Grafana observability.
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