
Production Support Engineer (AWS, Java, Microservices, Splunk, cs)
We are seeking a Production Support Engineer to join our team.
Responsibilites:
- Be the first line of defense for production and test environment issues.
- Work collaboratively with the team to identify, manage, and resolve ongoing incidents.
- Troubleshoot and connect with appropriate teams to effectively triage issues impacting test and production environments.
- Understand system architecture, upstream, and downstream dependencies to enable effective participation in triage and restoration activities.
- Perform systems monitoring of applications within the IRS domain after service restoration and post patching, maintenance, and upgrades.
- Create necessary service tickets and ensure tickets are routed to the appropriate technical teams.
- Provide weekend support for various activities including patching, release deployments, security updates, and 3rd party updates.
- Keep up with info alerts, patching alerts, and delivery partners' activities.
- Update stakeholders to plan for upcoming maintenance as well as alert them about service issues and restoration.
- Manage and communicate about upcoming maintenance in the test environment on a daily basis.
- Liaise with various stakeholders to gain approval for alert communications, including confirmation before an all-clear communication.
- Work closely with testing and development teams to prepare for infrastructure updates and release readiness.
- Submit Application Redirects tickets for planned maintenance after gaining approval from management.
- Participate in analysis and improvement of system performance.
- Host daily operational standup.
- Provide additional support to existing production support procedures and process improvements.
- Provide regular status reports to management on application status and other metrics.
- Collaborate with management to improve and customize reports related to production support.
- Plan and manage support for incident management tools and processes.
Requirements:
- Bachelor's Degree in computer science, engineering, or related field.
- AWS Cloud certification.
- 3+ years of relevant IT work experience with cloud experience.
- Knowledge of Java and microservice development and deployments.
- Understanding of the business processes behind applications.
- Strong analytical, problem-solving, negotiation, task and project management, and organizational skills.
- Strong oral and written communication skills, including process documentation.
- Proficiency in Microsoft Office applications (Word, PowerPoint, Excel, and Project).
- Proficiency in knowledge of computer systems, databases, and SharePoint.
- Knowledge of Splunk and AppDynamics.
Benefits:
- Work Location: Remote
- 5 days working
You can apply directly through the link: https://zrec.in/gQWFK?source=CareerSite
Explore our Career Page for more such jobs : careers.infraveo.com

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Hi,
PFB the Job Description for Data Science with ML
Type of hire : PWD and Non PWD
Employment Type : Full Time
Notice Period : Immediate Joiner
Work Days : Mon - Fri
About Ampera:
Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards
About the Role
We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.
Key Responsibilities
- Analyze large, structured and unstructured datasets to derive actionable insights.
- Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
- Apply statistical analysis, feature engineering, and model evaluation techniques.
- Work closely with business stakeholders to understand requirements and convert them into data science solutions.
- Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
- Monitor model performance and retrain models as required.
- Document assumptions, methodologies, and results clearly.
- Collaborate with data engineers and software teams to integrate models into production systems.
- Stay updated with the latest advancements in data science and machine learning.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
- 5+ years of hands-on experience in Data Science and Machine Learning.
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
- Experience with ML algorithms:
- Regression, Classification, Clustering
- Decision Trees, Random Forest, Gradient Boosting
- SVM, KNN, Naïve Bayes
- Solid understanding of statistics, probability, and linear algebra.
- Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
- Experience working with SQL and relational databases.
- Knowledge of model evaluation metrics and optimization techniques.
Preferred / Good to Have
- Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
- Exposure to NLP, Computer Vision, or Time Series forecasting.
- Experience with big data technologies (Spark, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Experience with MLOps, CI/CD pipelines, and model deployment.
Soft Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder interaction skills.
- Ability to work independently and in cross-functional teams.
- Curiosity and willingness to learn new tools and techniques.
Accessibility & Inclusion Statement
We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.
Equal Opportunity Employer (EOE) Statement
Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
.
Need a Native Latin American Candidate only.
● Candidate must have an Ecommerce background.
● Candidate should speak Spanish fluently.
● Should be strong in Supply Chain
● Need candidates from 3 PL only
● Candidate should have Minimum of 8+ years of progressive experience in warehouse, distribution, or logistics management, with at least 5 years in a senior management or director-level position.
● Salary will be 70 k USD to 85 k USD Fixed.
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- Job Title: Functional Analyst - AMEA ERP COE
- Location: Bangalore, India
- Reporting To: Domain Manager - Procurement & Manufacturing AMEA ERP COE
Experience & Education:
- Total Experience: 6–8 years in SAP MM (ECC or S/4HANA)
- Education: Graduate (minimum 4 academic years)
- Domain Experience: 3+ years in Purchasing/Manufacturing preferred
- Implementation: 3 full-cycle MM implementations; S/4HANA exposure (Advanced STO, Embedded WM)
Implementation & Functional Skills:
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- Cross-Border (export/ import) & Intercompany Scenarios
- Interfaces: IDOCs, ALE
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- Independence: Handle MM/WM projects and support calls autonomously
- Cultural Sensitivity: Support countries across Asia, Middle East, and Africa
Key Responsibilities:
- Conduct workshops and gather MM / WM operation requirements
- Deliver SAP solutions (Blueprints, Functional Specs, Testing, Training)
- Manage data migrations
- Ensure audit compliance
- Delivery enhancements and changes within timelines
Value Additions:
- Innovate MM/WM functionalities beyond the template
- Participate in ABB initiatives (CSI, Cost Saving, AppRun, etc.)
HR Manager - Renowned NGO (Pune)
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- Recruitment ; Manage the recruitment, selection process, succession planning, budgeting, employer branding etc. as per the national expansion requirements.
- Employee lifecycle management ; Manage cyclical HR programs (onboarding to exit) around goal setting, performance management, compensation planning, employment engagement surveys, payroll, employee relations etc.
- HR Systems and Processes ; Develop and monitor overall HR strategies, systems, tactics and procedures as per the growing organisational needs.
- Learning and Development ; Identify the training gaps between the current and future requirements of the organisational roles and fill them. Accordingly, plan role wise training and group training.
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- MBA/Masters in Human resource preferred 6 to 8 years of experience in HR, people programs, staffing, or other people management roles in a fast-paced growing organization
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· Experience: 2-5 years
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· Work with the Project Architects & Business owners to understand requirements
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· Manage, Guide and Mentor team resources.
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B.E / B.Tech / M.E / M.Tech in Computer Science or Electronics & Communication / BSC IT / BCA/ MCA.
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Full time.
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a) CSS / Bootstrap : Flex Layout/ability to demonstrate the cascading nature of CSS clearly with example/Positioning.
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d) REST: Backend experience. REST principles, URL structures for APIs. integration using native JS (fetch and Promises) and in Angular. use cases of getting vs POST vs PUT vs PATCH.
e) Angular : Abstractions of Angular Component, Service, Pipe, Directive, Module, Lifecycles. Knew advanced patterns as well Dynamic Components, Content Projection, Reactive Forms, ViewChild, ContentChild. Understood Observables and various operators demonstration of Design Skills ability to create the component and module hierarchy for a moderately complex application, along with their interactions
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(bringing yummy treats to the office is always a bonus too). - Analyze and report social media actions on a monthly basis for successes and new opportunities.
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