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.

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations







Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python







Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning







Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID

Job Title : Senior Backend Engineer – Java, AI & Automation

Experience : 4+ Years

Location : Any Cognizant location (India)

Work Mode : Hybrid

Interview Rounds :

1. Virtual
2. Face-to-Face (In-person)

Job Description :

Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.

You'll work on scalable backend systems powering millions of daily transactions across Intuit products.

Key Qualifications :

• 4+ years of backend development experience.
• Strong in Java, Spring framework.
• Experience with microservices, databases, and web applications.
• Proficient in AWS and cloud-based systems.
• Exposure to AI and automation tools (Workato preferred).
• Python development experience.
• Strong communication skills.
• Comfortable with occasional US shift overlap.

EDI Developer / Map Conversion Specialist

Role Summary:

Responsible for converting 441 existing EDI maps into the PortPro-compatible format and testing them for 147 customer configurations.

Key Responsibilities:

• Analyze existing EDI maps in Profit Tools.
• Convert, reconfigure, or rebuild maps for PortPro.
• Ensure accuracy in mapping and transformation logic.
• Unit test and debug EDI transactions.
• Support system integration and UAT phases.

Skills Required:

• Proficiency in EDI standards (X12, EDIFACT) and transaction sets.
• Hands-on experience in EDI mapping tools.
• Familiarity with both Profit Tools and PortPro data structures.
• SQL and XML/JSON data handling skills.
• Experience with scripting for automation (Python, Shell scripting preferred).
• Strong troubleshooting and debugging skills.

SKILL AND EXPERIENCE REQUIRED:

• 2+ years of experience in Java skills.
• 2+ years of hands-on HTML5/CSS3 experience.
• Experience with popular JavaScript frameworks such as ReactJs or Angular 2.0; experience preferred.
• Experience of working with HTTP 1.1, and HTTP/2.
• Experience with RESTful APIs and JSON RPC.
• Ability to write clean, bug-free code that is easy to understand and easily maintainable.
• Experience following Git workflows.
• Working knowledge of DevOps tools (e.g., Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc.).

• Working directly with clients to understand requirements for a green field development
• Designing the technology and cloud infrastructure architecture to achieve the functional and nonfunctional requirements
• The product you will be working on needs to scale up to support millions of users an efficient micro service distributed architecture
• Solution needs to be easy to deploy and manage on multiple cloud providers (AWS, GCP or Azure)
• Mentoring, guiding and training the team on various technology, quality and security aspects
• Guiding the team to implement automated CI/CD processes
• Strong analytical, problem solving and data analysis
• Excellent communication, presentation and interpersonal skills are a must
• Micro service frameworks such as Java SpringBoot
• Design and implement automated unit and integration tests
• Writing scalable, robust, testable, efficient, and easily maintainable code
• Familiarity with most AWS Services - EC2, ECS, RDS, ECR, S3, SNS, SQS, and more
• Experience with Docker and Kubernetes
• Deploying and Scaling microservices to AWS
• Hands-on experience with AWS cloud platform in evaluation and cost estimation

Assistant Manager Operations - Books Domain 

Roles and Responsibilities: 

∙ Books warehouse operations and expert in managing inventory, keeping track of book sampling and  distribution, having experience in handling complete distribution channel 

∙ Knowledge in Office Productivity Tools - MS Office, Open Office, Google App 

Desired Profile of Candidate: 

∙ Good communication skills (Hindi and English), Customer Service, 

∙ Problem Solving, Logical Reasoning, Good Analytical Skills, Documentation Skills, Listening, Phone  Skills, Multi-tasking, 

Basic Qualifications:

• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Additional Job requirements

• BS/MS/PhD in Computer Science/Math or equivalent
• BS in computer science or related field.
• 2+ years of relevant professional software development experience: designing, developing, and delivering software written in Java, C#, or C++, web development.
• Knowledgeable in object-oriented design patterns.
• Experience building highly scalable and distributed systems

Preferred Qualifications

• Experience with service-oriented architecture and application/services development
• Passion for performance debugging and benchmarking

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.