6 Jobs in Musheerabad, Hyderabad, Telangana

Senior DevOps Engineer – Technical Support Focus Hyderabad, India (Onsite Role) Experience Level: 5+ years Employment Type: Full-time About the Role We are seeking a seasoned Senior DevOps Engineer to bridge the gap between development and operations, ensuring seamless software delivery and robust infrastructure. This role emphasizes technical support, requiring close collaboration with support teams to resolve complex issues and enhance system reliability. Key Responsibilities Infrastructure Management: Design, implement, and maintain scalable infrastructure solutions using tools like Terraform and Ansible. CI/CD Pipelines: Develop and optimize continuous integration and deployment pipelines to ensure efficient software delivery. Monitoring & Incident Response: Implement monitoring solutions and lead incident response efforts to maintain system uptime and performance. Collaboration: Work closely with development, QA, and support teams to address technical challenges and improve operational workflows. Automation: Automate repetitive tasks to enhance efficiency and reduce manual intervention. Qualifications Education: Bachelor's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 5 years in DevOps roles, with a focus on infrastructure and technical support. Technical Skills: Proficiency in cloud platforms (AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and scripting languages (Python, Bash). Soft Skills: Strong problem-solving abilities, excellent communication skills, and a collaborative mindset. Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Paid sick time Ability to commute/relocate: Musheerabad, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: DevOps: 5 years (Required) Language: English (Required) Shift availability: Night Shift (Required) Work Location: In person

As the Senior DevOps Engineer focused on Observability, you will set observability standards, lead automation efforts and mentor engineers ensuring all monitoring and Datadog configuration changes are implemented Infrastructure-as-Code (IaC). You will lead the design and management of a code-driven Datadog observability platform, providing end-to-end visibility into Java applications, Kubernetes workloads and containerized infrastructure. This role emphasizes cost-effective observability at scale requiring deep expertise in Datadog monitoring, logging, tracing and optimization techniques. You'll collaborate closely with SRE, DevOps and Software Engineering teams to standardize monitoring and logging practices to deliver scalable, reliable and cost-efficient observability solutions. This is a hands-on engineering role focused on observability-as-code. All monitoring, logging, alerting, and Datadog configurations are defined and managed through Terraform, APIs and CI/CD workflows — not manual configuration in the Datadog UI. PRIMARY RESPONSIBILITIES: Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog Involve in incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture QUALIFICATIONS: Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD) Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions) Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure Strong background in Java application development is preferred Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Benefits: Paid sick time Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Musheerabad, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 5 years (Required) Language: English (Required) Location: Musheerabad, Hyderabad, Telangana (Preferred) Shift availability: Night Shift (Required) Work Location: In person Expected Start Date: 21/07/2025

As the Senior DevOps Engineer focused on Observability, you will set observability standards, lead automation efforts and mentor engineers ensuring all monitoring and Datadog configuration changes are implemented Infrastructure-as-Code (IaC). You will lead the design and management of a code-driven Datadog observability platform, providing end-to-end visibility into Java applications, Kubernetes workloads and containerized infrastructure. This role emphasizes cost-effective observability at scale requiring deep expertise in Datadog monitoring, logging, tracing and optimization techniques. You'll collaborate closely with SRE, DevOps and Software Engineering teams to standardize monitoring and logging practices to deliver scalable, reliable and cost-efficient observability solutions. This is a hands-on engineering role focused on observability-as-code. All monitoring, logging, alerting, and Datadog configurations are defined and managed through Terraform, APIs and CI/CD workflows — not manual configuration in the Datadog UI. PRIMARY RESPONSIBILITIES: Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog Involve in incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture QUALIFICATIONS: Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD) Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions) Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure Strong background in Java application development is preferred Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹1,000,000.00 - ₹1,600,000.00 per year Benefits: Paid sick time Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Musheerabad, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 5 years (Required) Language: English (Required) Location: Musheerabad, Hyderabad, Telangana (Preferred) Shift availability: Night Shift (Required) Work Location: In person Expected Start Date: 01/07/2025

MS Creative School is seeking passionate and dedicated English Teachers to inspire and educate high school students. If you have strong subject knowledge, excellent communication skills, and a commitment to student success, we’d love to hear from you! Eligibility: Bachelor’s/Master’s degree in the relevant subject B.Ed. preferred Minimum 2 years of teaching experience Strong command of English Locations: Multiple branches across the city Apply now: [email protected] Contact: 09032135522 / 09032136622 / 040-67684422 Please WhatsApp your updated resume to 9032843730 and schedule your interview. Interview Address : MS Research Foundation, 4th Floor, Above Reliance Trends, Masab Tank. Irfan HR Department Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person

As the Senior DevOps Engineer focused on Observability, you will set observability standards, lead automation efforts and mentor engineers ensuring all monitoring and Datadog configuration changes are implemented Infrastructure-as-Code (IaC). You will lead the design and management of a code-driven Datadog observability platform, providing end-to-end visibility into Java applications, Kubernetes workloads and containerized infrastructure. This role emphasizes cost-effective observability at scale requiring deep expertise in Datadog monitoring, logging, tracing and optimization techniques. You'll collaborate closely with SRE, DevOps and Software Engineering teams to standardize monitoring and logging practices to deliver scalable, reliable and cost-efficient observability solutions. This is a hands-on engineering role focused on observability-as-code. All monitoring, logging, alerting, and Datadog configurations are defined and managed through Terraform, APIs and CI/CD workflows — not manual configuration in the Datadog UI. PRIMARY RESPONSIBILITIES: Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog Involve in incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture QUALIFICATIONS: Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD) Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions) Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure Strong background in Java application development is preferred Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹700,000.00 - ₹1,500,000.00 per year Benefits: Paid sick time Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Musheerabad, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 5 years (Required) Language: English (Required) Location: Musheerabad, Hyderabad, Telangana (Preferred) Shift availability: Night Shift (Required) Work Location: In person Expected Start Date: 01/06/2025

As the Senior DevOps Engineer focused on Observability, you will set observability standards, lead automation efforts and mentor engineers ensuring all monitoring and Datadog configuration changes are implemented Infrastructure-as-Code (IaC). You will lead the design and management of a code-driven Datadog observability platform, providing end-to-end visibility into Java applications, Kubernetes workloads and containerized infrastructure. This role emphasizes cost-effective observability at scale requiring deep expertise in Datadog monitoring, logging, tracing and optimization techniques. You'll collaborate closely with SRE, DevOps and Software Engineering teams to standardize monitoring and logging practices to deliver scalable, reliable and cost-efficient observability solutions. This is a hands-on engineering role focused on observability-as-code. All monitoring, logging, alerting, and Datadog configurations are defined and managed through Terraform, APIs and CI/CD workflows — not manual configuration in the Datadog UI. PRIMARY RESPONSIBILITIES: Own and define observability standards for Java applications, Kubernetes workloads and cloud infrastructure Configure and manage the Datadog platform using Terraform and Infrastructure-as-Code (IaC) best practices Drive adoption of structured JSON logging, distributed tracing and custom metrics across Java and Python services Optimize Datadog usage through cost governance, log filtering, sampling strategies and automated reporting Collaborate closely with Java developers and platform engineers to standardize instrumentation and alerting Troubleshoot and resolve issues with missing or misconfigured logs, metrics and traces, working with developers to ensure proper instrumentation and data flow into Datadog Involve in incident response efforts using Datadog insights for actionable alerting, root cause analysis (RCA) and reliability improvements Serve as the primary point of contact for Datadog-related requests, supporting internal teams with onboarding, integration and usage questions Continuously audit and tune monitors for alert quality, reducing false positives and improving actionable signal detection Maintain clear internal documentation on Datadog usage, standards, integrations and IaC workflows Evaluate and propose improvements to the observability stack, including new Datadog features, OpenTelemetry adoption and future architecture changes Mentor engineers and develop internal training programs on Datadog, observability-as-code and modern log pipeline architecture QUALIFICATIONS: Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics or a related technical field 5+ years of experience in DevOps, Site Reliability Engineering, or related roles with a strong focus on observability and infrastructure as code Hands-on experience managing and scaling Datadog programmatically using code-based workflows (e.g. Terraform, APIs, CI/CD) Deep expertise in Datadog including APM, logs, metrics, tracing, dashboards and audit trails Proven experience integrating Datadog observability into CI/CD pipelines (e.g. GitLab CI, AWS CodePipeline, GitHub Actions) Solid understanding of AWS services and best practices for monitoring services on Kubernetes infrastructure Strong background in Java application development is preferred Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹700,000.00 - ₹1,500,000.00 per year Benefits: Paid sick time Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Musheerabad, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Language: English (Required) Location: Musheerabad, Hyderabad, Telangana (Preferred) Shift availability: Night Shift (Required) Work Location: In person