Top DevOps Jobs in Hyderabad

The Senior Sales Development Representative will generate and qualify leads, engage with prospective clients, and build sales pipeline by connecting with technical leaders. Responsibilities include personalized outreach, managing CRM, collaborating with teams, and mentoring junior SDRs.

Designs, implements, and supports infrastructure and DevOps practices for reliable, scalable application delivery. Responsibilities include managing AWS infrastructure, Terraform and Ansible automation, Kubernetes and ECS workloads, CI/CD pipelines, security integration, and application performance monitoring. The role also explores AI-driven observability, predictive alerting, anomaly detection, automated incident resolution, capacity planning, and intelligent scaling. Collaboration with development and QA teams, troubleshooting, documentation, and DevOps best-practice development are also required.

Own HashSphere's up-market product roadmap for tokenization and markets, translate Tier-1 financial institution requirements into engineering-ready features, support enterprise sales cycles (technical evaluations, InfoSec, RFPs), partner with Asseto and ioBuilders, run customer discovery and prototypes using AI tools, and codify repeatable GTM plays for enterprise FSI use cases.

Develop and optimize LLMs, evaluate model performance, integrate advanced AI technologies, lead cross-functional collaboration, and document methodologies.

Build and automate infrastructure, CI/CD, and developer tools across multi-cloud (GCP and AWS). Implement containerization (Kubernetes, Docker/DIND), Terraform automation, logging/monitoring, IAM, and support teams debugging DevOps issues for scalable, secure microservices.

Lead the design and implementation of DevOps solutions, focusing on CI/CD pipelines and cloud resource management across multiple platforms.

Lead design, build, and operate scalable AWS-based infrastructure and CI/CD for a multi-tenant SaaS DAP. Optimize real-time pipelines, implement IaC, ensure observability, security, HA, and enable on-prem replicas. Mentor engineers and drive deployment/automation best practices.

Designs and implements scalable, secure AWS and Azure cloud solutions; maintains infrastructure through Infrastructure as Code; collaborates on cloud architecture best practices; ensures high availability and disaster recovery; monitors and optimizes infrastructure performance; and supports cloud security and compliance requirements.

Design, deploy, and operate highly available AWS infrastructure using IaC. Build and manage production Kubernetes clusters, implement cloud security and compliance, set up observability with Grafana/Kibana, automate via scripting and CI/CD, troubleshoot high-traffic issues, and collaborate across teams to continuously improve reliability and scalability.

The role involves maintaining and supporting a SaaS platform with responsibilities including VM management, Docker utilization, and Linux administration.

Operate and scale low-latency, high-availability trading infrastructure; automate and manage IaC; monitor and respond to incidents; optimize system and network performance; implement secure CI/CD and IAM practices; collaborate with trading, engineering, and security teams; participate in rotational on-call support.

Owns the design, deployment, reliability, security, and continuous improvement of a scalable AWS cloud platform supporting analytics, AI, and enterprise applications. Responsibilities include infrastructure automation with Terraform and CloudFormation, CI/CD pipelines, Docker and serverless workloads, observability, incident troubleshooting, security hardening, compliance controls, and collaboration with development, AI engineering, and business teams.

Build and maintain standardized container images and reliable, observable CI/CD pipelines for a cloud-native platform. Improve build performance, security, reproducibility, dependency management, caching, and supply-chain security. Integrate vulnerability scanning, reduce remediation time, document golden paths, and improve developer experience. The role partners across engineering and security teams, influences platform architecture and tooling, and enables teams to ship safely and efficiently.

The DevOps Engineer will enhance software development and IT operations, focusing on automating processes, managing cloud infrastructure, and implementing CI/CD pipelines.

Own and architect scalable AWS cloud infrastructure and multi-tenant SaaS deployments. Build CI/CD pipelines (GitHub Actions), IaC (Terraform/CloudFormation), containerization (Docker, EKS, Helm). Ensure observability, security, high availability and disaster recovery. Deliver on-prem SaaS replicas, automate installs/upgrades, mentor junior engineers, and collaborate across Product, QA, and Engineering.

Lead design and optimization of Azure cloud infrastructure and .NET microservices, build CI/CD pipelines, implement monitoring and SRE practices, drive automation, enforce security standards, manage incidents, and mentor team members to ensure scalable, reliable SaaS deployments.

Design, implement, and manage scalable AWS infrastructure; lead migrations and modernization; build CI/CD pipelines and IaC; deploy containers with Kubernetes/Docker; apply Well-Architected principles; mentor junior engineers and drive DevOps best practices.

Build, deploy, and maintain AI/ML and generative AI solutions and platforms. Create CI/CD pipelines, containerized workloads (Docker/Kubernetes), and IaC (Terraform). Support cloud deployments (AWS/Azure/GCP), observability (Prometheus/Grafana), and MLOps practices while collaborating with engineering teams for reliability, performance, and security.

Own and optimise the Azure cloud infrastructure: implement RBAC and access controls, build monitoring/observability with Azure Monitor and Application Insights, design scalable performant architectures, manage cost governance, improve CI/CD and container deployments (Docker/Kubernetes), apply infrastructure-as-code (Terraform/Bicep/ARM), and provide technical leadership and mentoring to the engineering team.

Own and operate the production infrastructure and delivery platform for AI products. Implement infrastructure-as-code, run Kubernetes, manage CI/CD, ensure security, reliability, observability, and compliance (single-tenant, SOC 2). Build automation and guardrails to enable safe, fast shipping.

Lead reliability, scalability, and performance of cloud infrastructure. Own AWS architecture and CI/CD (GitHub Actions), automate deployments, maintain monitoring/alerting, support backend teams, troubleshoot production, and optimize cost and performance.

Design, implement, and manage Azure DevOps CI/CD pipelines and repositories; automate infrastructure provisioning (ARM/Bicep/Terraform); manage Azure services (App Services, Functions, Storage, Key Vault); deploy and lifecycle-manage Power Platform solutions (Power Apps, Power Automate, Power BI) using ALM practices; script in PowerShell/Bash/Python; monitor, troubleshoot, and optimize deployments while collaborating with stakeholders.

Design, implement, and maintain CI/CD pipelines and database migration processes using Flyway/Liquibase, Jenkins, and GitHub Actions. Manage RDBMS deployments (PostgreSQL, MySQL, SQL Server, Oracle) with rollback and zero-downtime strategies on Azure, automate builds/tests, monitor systems, and improve DevOps practices.

Design, secure, and optimize AWS cloud infrastructure using serverless services and granular WAF rules. Implement IaC (Terraform/CloudFormation), CI/CD, monitoring, FinOps cost optimizations, and high-availability/disaster recovery. Collaborate with teams to align cloud architecture with business needs.

Design, implement, and maintain scalable AWS infrastructure and CI/CD pipelines. Automate provisioning (Terraform/CloudFormation/Ansible), manage containers (Docker/EKS), ensure monitoring, security, cost optimization, and disaster recovery, and collaborate with development and QA for reliable deployments.