
- 5 to 6 years and 2 to 3 Years in RPA - Business analyst
- Analyse, understand, and review existing business process documentation to ensure the complete processes steps documented.
- Participate in various types of interviews, meetings, or workshops to define, design, and configure automation solutions.
- Support the creation and maintenance of solution documentation (process definition document, solution design document, user manual, process estimation etc).
- Help with the creation and documentation of test procedures and scenarios prior to launch User Acceptance Testing (UAT).
- Support business teams in testing activities, including integration testing, end-to-end (business process) testing and UAT.
- Problem-solve issues that arise in the day-to-day running of automation processes and provide timely responses and solutions as required.
- Manage end to end Project Lifecycle
- Act as a SPOC for customers, Project Teams, Leadership, and administration
- Run workshops with client SMEs to understand the end-to-end process
- Identify any automation blockers and the suitability of the process for automation
- Calculate automation % and FTE benefit and build effort estimates, No of BOT
- Present summary of findings to the client and walk them through to-be design of the automated process
- Work closely with development team to ensure requirements are accurately mapped and suitable for development
- Must be able to provide suggestions for the improvement of existing process and design to-be flows

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Role: Executive Assistant
Key Responsibilities:
- Provide high-level administrative and operational support to the leadership team.
- Manage calendars, meetings, and travel schedules.
- Prepare reports, presentations, and communication on behalf of leadership.
- Coordinate with internal and external stakeholders.
- Ensure smooth day-to-day operations and follow-ups on strategic priorities.
What We’re Looking For:
- Strong communication and interpersonal skills.
- Excellent organizational and multitasking abilities.
- Proficiency in MS Office / Google Workspace tools.
- Prior experience supporting senior leadership is preferred.
Profile : Senior System Analyst
Experience :6.0 Year+
Job Location: Noida, Sec-62, ( Work From Office only )
Shift Time : Rotational shift
Working Days : 6 Days
JD Details:
Must-Haves (Technical)
● Experienced in
○ Network monitoring( Must )
○ DB and Cache monitoring
○ Kubernetes monitoring
○ Security events monitoring
○ Web server monitoring
○ Critical server level monitoring(Golden metrics) for distributed systems.
● Hands on experience in following monitoring tools :
○ ELK
○ Grafana ( Must )
○ Nagios (Must)
○ Cacti
○ RKE/Rancher
○ Splunk
○ Cloudtrail
● Hands on experience with the following APM tools :
○ NewRelic
○ AppDynamics ( Must )
○ Datadog ( Must )
● Experienced in the concept of Continuous Monitoring(CM).
● SME in combining multiple data sources to get a clear picture of production systems
● SME for creating alerts related to platform security in above tools.
● Strong knowledge of Linux and Windows environments.
● Strong knowledge of cloud environments.
Good To Have (Technical)
● Scripting for automation
○ Python
○ Bash
● Containerization
○ Docker (Basic knowledge)
● Container Orchestration
○ Kubernetes (Basic knowledge)
● Infrastructure as Code
○ Terraform (Basic knowledge)
Hello All,
We are actively looking for "SAP SD Candidates" for Miracle Software Systems for Vizag location.
Position: SAP SD
Shift timings: 2 PM - 11 PM IST
Duration: Fulltime
Experience required : 6 plus years
Location: Visakhapatnam
Position: DevOps Lead
Job Description
● Research, evangelize and implement best practices and tools for GitOps, DevOps, continuous integration, build automation, deployment automation, configuration management, infrastructure as code.
● Develop software solutions to support DevOps tooling; including investigation of bug fixes, feature enhancements, and software/tools updates
● Participate in the full systems life cycle with solution design, development, implementation, and product support using Scrum and/or other Agile practices
● Evaluating, implementing, and streamlining DevOps practices.
● Design and drive the implementation of fully automated CI/CD pipelines.
● Designing and creating Cloud services and architecture for highly available and scalable environments. Lead the monitoring, debugging, and enhancing pipelines for optimal operation and performance. Supervising, examining, and handling technical operations.
Qualifications
● 5 years of experience in managing application development, software delivery lifecycle, and/or infrastructure development and/or administration
● Experience with source code repository management tools, code merge and quality checks, continuous integration, and automated deployment & management using tools like Bitbucket, Git, Ansible, Terraform, Artifactory, Service Now, Sonarqube, Selenium.
● Minimum of 4 years of experience with approaches and tooling for automated build, delivery, and release of the software
● Experience and/or knowledge of CI/CD tools: Jenkins, Bitbucket Pipelines, Gitlab CI, GoCD.
● Experience with Linux systems: CentOS, RHEL, Ubuntu, Secure Linux... and Linux Administration.
● Minimum of 4 years experience with managing medium/large teams including progress monitoring and reporting
● Experience and/or knowledge of Docker, Cloud, and Orchestration: GCP, AWS, Kubernetes.
● Experience and/or knowledge of system monitoring, logging, high availability, redundancy, autoscaling, and failover.
● Experience automating manual and/or repetitive processes.
● Experience and/or knowledge with networking and load balancing: Nginx, Firewall, IP network


If you are looking for a change this is what we can promise you:
You will have challenging problems to solve
You will have flexibility and autonomy to solve problems and deliver solutions
We will provide a highly collaborative environment with skilled and super friendly teammates
We will fully support you in developing software the right way
We won't burden you with useless policies and procedures
We will provide you the tools you need to do your job right
If that sounds attractive please apply! We'd love to talk to you.
Here are some more details about the position:
You will be hands-on writing code, unit tests, and performing peer code reviews. You will work with a project manager, software development engineers, user experience and interface designers, quality assurance engineers and customer stakeholders to deliver high quality, scalable and maintainable software solutions.
Required Qualifications
4+ years experience developing web applications using PHP
Ability to work effectively with offshore and nearshore team members
Experience performing peer code reviews
Experience writing unit tests
Experience with Git and merge conflict resolution
JavaScript and HTML, CSS
Ajax, Restful APIs and JSON
SQL (MSSQL, MySQL or similar)
Scalable Architectural Patterns
API Integrations
Asynchronous Processes and Multithreading
Desired Qualifications
5+ year of experience developing web applications.
Experience in Codeigniter PHP framework
Experience with React and Flux
frameworks like Angular, React, Bootstrap, Ember or similar
Experience working with offshore and nearshore development teams.
HTML 5 and CSS 3
Caching Technologies
Cloud Platforms (AWS, Azure, or Heroku)
Serverless technologies
IoC / Dependency Injection
Continuous Integration
Continuous delivery
Git
SourceTree and Bitbucket
Scrum
Project management software - Jira, Rally or similar
Virtual Machines
Postman
Client Retention & Servicing
Coordinating client request with back-end teams.
Supervision (Only) of Centre Operations


Work Location - Bangalore
The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
- Build and enhance the software stack for modelling and data analytics
- Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
- Automate repetitive data modelling and analytics tasks
- Keep up to date with available relevant technologies, to solve business problems
- Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
- Help define/share best practices for the business users and enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
- Share daily/weekly progress made by the team
- Work with senior stakeholders & drive the discussions independently
- Mentor and lead a team of software developers on analytics related product development practices
Qualifications:
- 10-13 years of data engineering experience.
- Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
- In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
- Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
- Intuitive with good interpersonal-skills, time-management and task-prioritization
- Ability to lead a technical team of software developers and mentor them on good software development practices.
- Ability to quickly grasp the business problem and nuances when put forth.
- Ability to quickly put together an execution plan and see it through till closure.
- Strong communication, presentation and influencing skills.
Education:
- Bachelor’s/University degree or equivalent experience
- Data Science or Analytics specialization preferred
Key Qualifications:
5 + years of experience in Software development in multithreaded Java/Python applications
3+ years of UI/UX stack experience (Angular JS/PHP/Javascript)
Extensive experience in coding and debugging Java applications and deployment
Should have experience/exposure to Apache Tomcat, JBOSS, SOAP, REST, Maven, Spring framework, hibernate, Kafka, Zookeeper, DHCP, DNS, SNMP
Extensive experience with MySQL and various NoSQL Databases like MongoDB, Elasticsearch
Modelling languages like Netconf, Restconf, Yang,Tosca, Yaml, XML
Skilled in data center, networking, Linux and cloud technologies especially IaaS
Understanding of the ETSI NFV architecture stack
2+ experience with SDN technologies
2+ experience with OpenStack, Kubernetes or other container orchestration platform
Agile programming methodologies
DevOps - CI/ CD experience with Git, Gerritt, Jenkins
Experience contributing to and working with open source communities like ONAP, ONF



Job Description
We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
- Experience with Deep Learning preferred.
- Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Great communication skills
- Proficiency in using query languages such as SQL, Hive, Pig
- Good applied statistics skills, such as statistical testing, regression, etc.
- Good scripting and programming skills
- Data-oriented personality

