11+ System monitoring Jobs in Hyderabad | System monitoring Job openings in Hyderabad

1. Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
2. Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
3. Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
4. Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
5. Analytics and analysis of data and provide insights and recommendations
6. Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
7. Work with the product team in developing new features, identifying solution gaps, etc.​
8. Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.​

1. At least 2+ years of experience in IT Infrastructure Management
2. Experience in working with large-scale IT infra, including applications, databases, and networks.​
3. Experience in working with monitoring tools, automation tools
4. Hands-on experience in Linux and scripting.
5. Knowledge/Experience in the following technologies will be an added plus:​ ​ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.

Company Name- WINIT

Location- Hyderabad

Position- Data Scientist

Experience- 0-1 year

We are seeking a talented Data Scientist proficient in data science, machine learning, deep learning, computer vision, simulation, feature engineering, Python, and SQL. 

Responsibilities:

• Develop and implement machine learning and deep learning algorithms for image recognition tasks.
• Utilize computer vision techniques to extract meaningful information from images.
• Collaborate with software engineers to integrate image recognition models into existing systems.
• Design and implement simulation models for route optimization, demand forecasting, and trade promo optimization scenarios.
• Perform feature engineering to extract relevant features for optimization algorithms.
• Work with large datasets, cleaning, preprocessing, and transforming data as necessary.
• Develop and optimize SQL queries to extract and analyze data from databases.
• Participate in the end-to-end development lifecycle, from problem definition to deployment.
• Stay updated with the latest advancements in machine learning, computer vision, route optimization, demand forecasting, and trade promo optimization techniques.

Requirements:

• Bachelor's or Master's degree in computer science, Data Science, or related field.
• Proven experience in data science, machine learning, and deep learning projects, preferably with a focus on computer vision.
• Strong proficiency in Python programming and experience with relevant libraries such as TensorFlow, PyTorch, OpenCV, etc.
• Solid understanding of SQL for data manipulation and extraction.
• Experience with simulation techniques, route optimization algorithms, demand forecasting, and trade promo optimization is a plus.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

*Stay updated on machine learning/deep learning/reinforcement learning/Generative AI/Time series forecasting/Operations Research

About our company:

Please visit our company website at: www.winitsoftware.com

Role & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.

2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.

3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.

4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.

5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.

6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.

7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

• Strong Cloud Automation Architect Profile
• Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments
• Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments
• Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux
• Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
• Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
• Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
• Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
• Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
• Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)
• Preferred (Skill 3) – Experience with AWS cost optimization automation and converting operational runbooks into self-healing diagnostic workflows

🚀 We’re Hiring: Senior Cloud & ML Infrastructure Engineer 🚀

We’re looking for an experienced engineer to lead the design, scaling, and optimization of cloud-native ML infrastructure on AWS.

If you’re passionate about platform engineering, automation, and running ML systems at scale, this role is for you.

What you’ll do:

🔹 Architect and manage ML infrastructure with AWS (SageMaker, Step Functions, Lambda, ECR)

🔹 Build highly available, multi-region solutions for real-time & batch inference

🔹 Automate with IaC (AWS CDK, Terraform) and CI/CD pipelines

🔹 Ensure security, compliance, and cost efficiency

🔹 Collaborate across DevOps, ML, and backend teams

What we’re looking for:

✔️ 6+ years AWS cloud infrastructure experience

✔️ Strong ML pipeline experience (SageMaker, ECS/EKS, Docker)

✔️ Proficiency in Python/Go/Bash scripting

✔️ Knowledge of networking, IAM, and security best practices

✔️ Experience with observability tools (CloudWatch, Prometheus, Grafana)

✨ Nice to have: Robotics/IoT background (ROS2, Greengrass, Edge Inference)

📍 Location: Bengaluru, Hyderabad, Mumbai, Pune, Mohali, Delhi

5 days working, Work from Office

Night shifts: 9pm to 6am IST

👉 If this sounds like you (or someone you know), let’s connect!

Apply here:

BACKEND DEVELOPER JOB DESCRIPTION

Job Title: Backend Developer - Node.js & MongoDB

Location: Hyderabad

Employment Type: Full-Time

Experience Required: 3–5 Years

About Us

Inncircles – THE INNGINEERING COMPANY

We are a forward-thinking construction-tech innovator building CRM solutions that manage crores of records with precision and speed. Our mission is to revolutionize the construction domain through scalable engineering and robust backend systems. Join us to solve complex challenges and shape the future of data-driven construction tech!

Job Description

We are hiring a Backend Developer with 3–5 years of hands-on experience in Node.js and MongoDB to design, optimize, and maintain high-performance backend systems. You will work on large-scale data processing, external integrations, and scalable architectures while ensuring best coding practices and efficient database design.

Key Responsibilities

Backend Development & Optimization

1. Develop and maintain RESTful/GraphQL APIs using Node.js, adhering to best coding practices and reusable code structures.
2. Write optimized MongoDB queries for collections with crores of records, ensuring efficient data retrieval and storage.
3. Design MongoDB collections, implement indexing strategies, and optimize replica sets for performance and reliability.
4. Scalability & Performance
5. Implement horizontal and vertical scaling strategies to handle growing data and traffic.
6. Optimize database performance through indexing, aggregation pipelines, and query tuning.
7. External Integrations & Debugging
8. Integrate third-party APIs (payment gateways, analytics tools, etc.) and SDKs seamlessly into backend systems.
9. Debug and resolve complex issues in production environments with a systematic, data-driven approach.

AWS & Cloud Services

Work with AWS services like Lambda (serverless), SQS (message queuing), S3 (storage), and EC2 (compute) to build resilient and scalable solutions.

Collaboration & Best Practices

Collaborate with frontend teams to ensure smooth API integrations and data flow.

Document code, write unit/integration tests, and enforce coding standards.

Mandatory Requirements

3–5 years of professional experience in Node.js and MongoDB.

Expertise in:

1. MongoDB: Collection design, indexing, aggregation pipelines, replica sets, and sharding.
2. Node.js: Asynchronous programming, middleware, and API development (Express.js/Fastify).
3. Query Optimization: Writing efficient queries for large datasets (crores of records).
4. Strong debugging skills and experience in resolving production issues.
5. Hands-on experience with external integrations (APIs, SDKs, webhooks).
6. Knowledge of horizontal/vertical scaling techniques and performance tuning.
7. Familiarity with AWS services (Lambda, SQS, S3, EC2).

Preferred Skills

1. Experience with microservices architecture.
2. Knowledge of CI/CD pipelines (GitLab CI, Jenkins).
3. Understanding of Docker, Kubernetes, or serverless frameworks.
4. Exposure to monitoring tools like Prometheus, Grafana, or New Relic.

Why Join Inncircles?

Solve large-scale data challenges in the construction domain.

Work on cutting-edge cloud-native backend systems.

Competitive salary, flexible work culture, and growth opportunities.

Apply Now:

If you’re passionate about building scalable backend systems and thrive in a data-heavy environment, share your resume and a GitHub/portfolio link showcasing projects with Node.js, MongoDB, and AWS integrations.

Inncircles – THE INNGINEERING COMPANY

📍 Hyderabad | 🚀 Building Tomorrow’s Tech Today

• Preparing office driver's attendance & OT in Excel Sheet.
• Preparing MIS report for daily Shift schedule Drivers & Housekeeping staff.
• Coordinating, such as Event planning or client dinners.
• Mail checking, sending, and forwarding with correct information.
• Invoice checking for vendors reporting to the concerned person.
• Making calls and receiving further issues on the site.
• Drivers in and outgoing punching time, vehicle tools requirements purchasing
• Vehicle repairs maintenance tracking
• Handling stationery items for office usage,
• CC camera checking as per AMC.
• Generator power conditions checking and also as per AMC
• Landscaping like plants, trees, grass, indoor plants, and outdoor plants maintenance checking.
• Systems, UPS, related works checking
• Security manpower grooming, time shifts, replacements checking, and informing to concerned department.
• Central A/C checking as per AMC.
• Building rent records, diagrams, and AMC.
• Fair safety cylinders check as per filling date or replacement if outdated.

Requirements:

• 10+ years in Product development.
• Strong belief in software craftsmanship and practicing it in day-to-day work, expert in Microsoft. NET technology stack is a must.
• Strong hands-on experience in web development using ASP. NET MVC and C#.
• Usage of SQL and no SQL databases.
• Hands on experience in test-driven development and DevOps practices.
• Strong design capabilities, following SOLID principles using C#.
• Working on solutions hosted in cloud environments (AWS or Azure).
• Implementation of Continuous Delivery processes.
• Good understanding of Behaviour-driven development and domain-driven design.

Excellent communicator

Responsibilities:

• Contribution to the product roadmap in sprint model.
• Helping your team to deliver at high velocity.
• Practice and promote Agile practices.
• Continuously learn and deliver incremental business value.
• Use Continuous Delivery Practices.
• Mentor junior team members.
• Develop of asynchronous and/or multi-tiered scalable applications.

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements into the application. You will also be responsible for building rich UI components with React.

Skills: Node.js, React.js, MongoDB, Express JS, HTML, CSS, .

Requirements:

• Should have experience on Node.js and frameworks available for it, such as Express or StrongLoop. Preferably Express.
• Should have experience in building Rich UI components with React.js.
•  Should have hands on experience on MongoDB.  
• Strong understanding of JavaScript, its quirks and workarounds.
• Knowledge of ES6, ES7 and Object-oriented and functional programming.
• Understanding the nature of asynchronous programming and its quirks and workarounds.
• Should have experience in working on Linux (Ubuntu) Environment and basic linux commands.
• Proficient understanding of code versioning tools, such as Git.
• Good to have knowledge on Redis DB.
• Good understanding of browser rendering behavior and performance.
• Good to have exposure working in an agile development environment.