INFOPARK

Java Full Stack Devoleper[Java Angular]

Key Responsibilities:
Backend and architecture:
Design, develop, and maintain enterprise applications using Java, Spring Boot, and the Spring ecosystem.
Build scalable microservices and RESTful APIs following clean code, SOLID principles, and established design patterns.
Design and implement authentication, authorization, and role-based access control, including SSO and external identity provider integrations.
Develop and optimize schemas, indexes, queries, and transactions.
Implement caching, asynchronous processing, messaging, and event-driven communication where appropriate.
Diagnose and resolve performance issues, production defects, and complex technical problems.

Frontend:
Build and maintain frontend features using Angular and TypeScript.
Integrate frontend applications with backend services and ensure reliable end-to-end workflows.

AI-assisted engineering:
Use AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate design, implementation, refactoring, testing, and documentation.
Configure and use MCP servers and connectors that give agents controlled access to repositories, issue trackers, databases, documentation, and internal tools.
Create and maintain reusable agent assets such as project instructions, skills, prompts, and workflows for the team.
Critically review, test, and take full ownership of AI-generated code; never ship code you do not understand.
Ensure AI tools are used in line with data-protection and security policies, especially around clinical and patient data.

Quality and collaboration:
Write unit and integration tests and take part in code reviews.
Contribute to application security, scalability, reliability, and maintainability.
Work with Docker, CI/CD pipelines, Git, and containerized or cloud deployment environments.
Collaborate with architects, product owners, QA, and DevOps throughout the SDLC.
Mentor junior developers, including on effective and responsible use of AI coding tools, and contribute to technical documentation.

Experience and Education:
6+ years of professional software development experience.
Strong hands-on Java and Spring Boot backend experience, with production microservices delivered.
Practical frontend experience with Angular (or React).
Demonstrated use of AI coding agents in professional development work.
Strong analytical, debugging, and problem-solving skills.
Ability to own features from design through development, testing, and deployment.
Excellent communication, collaboration, and technical decision-making.

Observability Engineer

Experience: 4+ years

Required Skills

4+ years of experience in Observability, DevOps, SRE, or Platform Engineering.

Hands-on experience with at least one observability suite: Grafana Stack (Grafana, Loki, Tempo, Mimir, Alloy), ELK Stack, Prometheus/OpenTelemetry, or Splunk.

Advanced English communication skills.

Nice to Have

Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).

Linux, Git, Python, Terraform/OpenTofu, and shell scripting.

Certifications in OpenTelemetry, Prometheus, Grafana, or Splunk.

Responsibilities

Design and implement observability solutions for logs, metrics, and traces.

Build dashboards, alerts, and advanced visualizations.

Instrument applications and implement distributed tracing.

Integrate AI capabilities into observability platforms.

Analyze performance, availability, and capacity issues, and support incident resolution.

Collaborate with Development, DevOps, and SRE teams.

Document best practices and train technical users.

Lead Observability Architect

Job Description: Lead Observability Architect

Experience: 10+ years

We are looking for a Lead Observability Architect with 10+ years of experience in Observability, DevOps, SRE, or Platform Engineering to design and implement enterprise-grade observability solutions for clients. The ideal candidate should have strong expertise in the Grafana ecosystem, OpenTelemetry, monitoring, logging, distributed tracing, and cloud-native technologies, along with excellent client-facing and technical leadership skills.

Required Skills:

Hands-on experience designing and implementing enterprise observability platforms using Grafana Stack (Grafana, Loki, Tempo, Mimir, Alloy), ELK Stack, Prometheus/OpenTelemetry, or Splunk.

Strong expertise in logs, metrics, distributed tracing, application instrumentation, dashboards, alerting, and advanced visualizations.

Proven experience in observability architecture, solution design, platform implementation, and performance optimization.

Strong knowledge of Kubernetes, Docker, and cloud platforms such as AWS, Azure, or GCP.

Experience analyzing performance, availability, capacity, and reliability issues, including root cause analysis and incident resolution.

Knowledge of Linux, Git, Python, Terraform/OpenTofu, and shell scripting.

Experience integrating AI capabilities into observability platforms is an advantage.

Ability to lead technical discussions with clients, define observability best practices, mentor engineering teams, and drive implementation initiatives.

Excellent verbal and written communication skills in English.

Responsibilities:

Lead the architecture, design, and implementation of scalable observability solutions tailored to client requirements.

Define observability strategies and standards across logs, metrics, traces, monitoring, and alerting.

Lead the adoption of Grafana ecosystem technologies and OpenTelemetry for application instrumentation and distributed tracing.

Design advanced dashboards, alerts, and visualizations to improve system visibility and reliability.

Identify opportunities to integrate AI-driven capabilities for anomaly detection, performance analysis, and incident management.

Collaborate with development, DevOps, SRE, and platform engineering teams to improve system performance and availability.

Act as the technical lead and client-facing architect, providing technical guidance, solution recommendations, and architecture reviews.

Establish best practices, document technical standards, and mentor teams in observability implementation and operations.

Relevant certifications in OpenTelemetry, Prometheus, Grafana, or Splunk are an added advantage.

Senior Cloud Architect

Experience: 9+ years

We are looking for a Senior Cloud Architect / Lead Architect with 9+ years of experience in Java development, Spring technologies, microservices, and cloud architecture. The candidate will be responsible for designing cloud-native solutions, leading application modernization and migration initiatives, defining technical standards, and collaborating with US-based teams in a client-facing role.

Required Skills:

Strong hands-on experience as a Java Architect or Senior Developer with Java and Spring Boot, Spring Security, and Spring Data.

Expertise in microservices and event-driven architectures, including Kafka/Confluent.

Experience designing and implementing cloud solutions on Azure and/or AWS.

Strong knowledge of REST API design and management using OpenAPI/Swagger, API Gateway, or Azure API Management.

Experience with CI/CD pipelines, Jenkins, Git, Terraform, and Shell/Python scripting.

Knowledge of code quality and testing practices using SonarQube and JUnit.

Experience defining security and authentication patterns using OAuth, SAML, and Azure AD.

Knowledge of observability tools such as Grafana and Elasticsearch.

Fluent English (C1 or above), both spoken and written, with strong client-facing communication skills.

Responsibilities:

Design and define cloud-native, scalable, and secure reference architectures on Azure and/or AWS.

Lead the modernization of legacy applications and migration to cloud environments.

Define architecture standards, CI/CD strategies, code quality practices, and automated testing approaches.

Design microservices, event-driven solutions, REST APIs, and enterprise integration patterns.

Establish security, authentication, observability, and deployment best practices.

Lead technical workshops, architecture discussions, and documentation with US-based teams.

Provide technical leadership, mentor developers and DevOps engineers, and guide teams on architecture and implementation decisions.

Nice to Have:

Azure/AWS Solutions Architect or Confluent certifications.

Kubernetes (AKS/EKS), Docker, and Helm.

Angular, TypeScript, and Node.js.

Elasticsearch, Redis, JMeter, and Selenium.

FinOps knowledge and experience working with Agile methodologies.

Data Scientist - AI/ML

• 5+ years in an analytical position. Coding experience required
• Degree in Mathematics, Statistics, Data Science or similar required
• Proven experience handling end-to-end data science projects starting from problem understanding, data cleaning and analysis, modelling, testing and (ideally) deployment
• Advanced knowledge of Python, SQL and Excel. R and JavaScript knowledge is nice to have
• Experience with typical data science packages: numpy, pandas, matplotlib/seaborn, scikit-learn, scipy, statsmodels, and TensorFlow/Pytorch
• Experience in NLP and Computer Vision nice to have
• Knowledge of MLOps principles and tools: cloud technologies, version control, and microservices
• Excellent analytical and problem-solving skills
• Ability to contribute both independently and as part of a team
• Excellent listening, communication, interpersonal and presentation skills

Python- ML Developer

Key Responsibilities
1. Incident Management & Bug Fixing Investigate and resolve incidents reported on AI algorithms used by L'Oréal researchers (model crashes, wrong outputs, data pipeline failures, performance degradation) Diagnose root causes: data issues, code bugs, dependency conflicts, model drift Apply fixes, test and validate corrections before redeployment Document incidents and resolutions in the ticketing system
2. Algorithm Maintenance Apply patches, dependency updates and environment fixes Ensure models remain functional after infrastructure changes (cloud updates, library upgrades, data schema changes) Maintain and update data preprocessing pipelines feeding the models
3. Code Review & Quality Read, understand and improve existing Python codebases (often written by Data Scientists) Refactor poorly structured code to improve maintainability and reliability
4. Collaboration with R&I Teams

Required Skills:
Experience: 4+ years
Core Technical Skills — Must Have

Domain Skills Level
Python Advanced Python, debugging, OOP, clean code - Expert
Data manipulation Pandas, NumPy, data wrangling, ETL pipelines- Intermediate
ML Frameworks Scikit-learn, TensorFlow or PyTorch (reading & fixing, not training from scratch) - Intermediate
API & services FastAPI, REST APIs, JSON, basic microservices - Intermediate
Version control Git + GitHub Advanced — see detail below- Intermediate
Environment management Poetry, pip, virtual environments, requirements management- Expert
Cloud — GCP AI Services, GCP Projects, Vertex AI, BigQuery, Service, Account, Google Storage (Buckets), Artifact Registry- Beginner
Containerisation Docker — run, build, debug a container - Intermediate
SQL Ability to query databases and investigate data issues - Intermediate

Dot Net Developer

Job Title : .NET Developer (Web API / REST)
Experience: 5+ years
Work from Office: Cochin/Bangalore

Overview
We are seeking a skilled .NET Developer with proven expertise in building and maintaining RESTful APIs
and Web API services. The ideal candidate will have strong backend development experience, database
integration skills, and the ability to deliver scalable enterprise applications.

Responsibilities:
• Design, develop, and maintain web applications using .NET technologies.
• Build, optimize, and manage RESTful APIs for seamless integration across systems.
• Collaborate with cross-functional teams including frontend developers, QA, and DevOps.
• Troubleshoot, debug, and resolve application issues.
• Ensure application performance, scalability, and security.
• Write clean, maintainable, and well-documented code.
• Participate in Agile/Scrum ceremonies and contribute to technical discussions.

Required Skills
• 5+ years of experience in software development using .NET technologies.
• Strong proficiency in C#, ASP.NET Core / .NET Core, Web API, REST.
• Hands-on experience in designing, consuming, and handling REST APIs with high performance and security.
• Experience with Entity Framework and SQL Server.
• Solid understanding of object-oriented programming and design patterns.
• Familiarity with Git and version control systems.
• Strong debugging and problem-solving skills.

Preferred Skills
• Exposure to cloud platforms such as Azure or AWS.
• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of microservices architecture.

Soft Skills
• Strong communication and collaboration abilities.
• Analytical mindset with problem-solving skills.
• Ability to work independently and in a team environment

Gen AI Machine Learning Engineer

 6+ years of experience in AI and machine learning, out of which 3+ years of experience in machine learning engineering, NLP, Generative AI, and LLM technologies.
 Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex, etc.).
 Knowledge and experience with transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and LLM evaluation methodologies.
 Hands-on experience of MLOps and LLMOps is desired.
 Knowledge of design, implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have.
 Advanced knowledge of Python and some experience in ML frameworks (PyTorch, scikit-learn, etc.) for training, fine-tuning, and deploying generative models is desired.
 Experience with Cloud technology, preferably AWS.
 Experience with Voice Conversational AI will be a big plus.
 Ability to contribute both independently and as part of a team.
 Excellent analytical and problem-solving skills.
 Excellent listening, communication, interpersonal and presentation skills to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.

Lead AI/ML Engineer

Lead AI/ML Engineer
Role Overview
We are looking for a Lead AI/ML Engineer with strong hands-on experience in Generative AI and LLM-based solutions to design, build, and deploy production-grade AI systems.
What the Role Will Focus On
• Designing and deploying LLM-powered applications (GPT, Claude, Llama, Mistral)
• Building conversational agents, copilots, and multi-agent workflows
• Architecting RAG pipelines, prompt strategies, and tool/function calling
• Developing scalable Python backends (FastAPI, async APIs, vector database integrations)
• Deploying solutions on AWS (Lambda, ECS/EKS, Bedrock, SageMaker, CI/CD pipelines)
• Collaborating with product and engineering teams to deliver enterprise-ready GenAI solutions
Required Skills & Experience
• Strong hands-on experience with Generative AI and LLM development
• Experience with LangChain, LangGraph, OpenAI Agents, CrewAI, or similar frameworks
• Solid Python engineering skills with microservices experience
• Proven ability to design end-to-end GenAI architectures
• Cloud-native deployment experience (AWS preferred)
Nice to Have
• Experience with multimodal AI (text, image, audio)
• Knowledge of knowledge graphs
• Experience with enterprise system integrations
Candidate Profile
• Mid- to senior-level technical leader who enjoys building and shipping solutions
• Comfortable owning projects end to end
• Collaborative, proactive, and passionate about GenAI innovation

Senior Data Engineer- Apache Airflow

Experience in data engineering with strong skills in Python, PySpark, and Apache Airflow.
Hands-on experience creating Airflow DAGs, managing workflows, and performing unit testing.
Experience with Hadoop, HDFS, Hive on Tez, S3, and AWS CLI operations.
Strong knowledge of Snowflake, data modeling, facts, dimensions, and surrogate keys.

Experience with Git/GitLab, SSIS, Sqoop, Livy, and secrets management tools.

Good understanding of data security and compliance standards, with 90% overlap with the US EST time zone.

Backend Engineer- Billing & Account Management

We are looking for a Backend Engineer with 5+ years of experience in Java, Spring Boot 3, and building production microservices.

- Strong experience with GraphQL, event-driven systems using AWS SQS, Kafka, or RabbitMQ, and distributed systems.
- Hands-on experience with JPA/Hibernate, Spring Data JPA, MySQL/Aurora, transactions, and database schema migrations.
- Experience with REST APIs, third-party integrations, JUnit 5, Mockito, Gradle, and GitLab CI/CD.
- Knowledge of Datadog monitoring, production debugging, reliability, and multi-database systems such as DynamoDB and MongoDB.
- Billing or Payments domain experience and Netflix DGS are preferred.

Business Analyst II

We are looking for a Business Analyst with 5+ years of experience in business analysis, preferably working with Salesforce Service Cloud.

- Strong experience in gathering requirements, writing user stories, BRDs, acceptance criteria, and process documentation.
- Expertise in stakeholder management, business process mapping, and UAT planning, testing, and defect management.
- Experience working with Agile/Scrum teams, CRM platforms, system integrations, APIs, and data flows.
- Knowledge of Salesforce Service Cloud, case management, Omni-Channel, workflows, and Salesforce AI features is preferred.
- Experience with Jira, Confluence, and AI-driven business solutions is an added advantage.

Senior Devops Engineer

We are looking for a Senior Platform Reliability Engineer / Lead SRE with 8+ years of experience in DevOps, SRE, platform engineering, or production operations.
- Strong hands-on experience with Kubernetes, Rancher, cluster monitoring, workload stability, and production troubleshooting.
- Experience with Helm, Jenkins, Azure DevOps, deployment automation, rollback strategies, and Kubernetes resource optimization.
- Strong knowledge of Grafana, Prometheus, or similar observability tools for monitoring and alerting.
- Experience troubleshooting pod failures, OOMKills, startup issues, networking, storage, and deployment failures.
- Knowledge of .NET microservices, SQL Server, RabbitMQ, and enterprise storage integrations is preferred.
- Ability to guide development and infrastructure teams and support production go-live activities; hybrid/on-site support may be required.

SAP QM Consultant

Job Summary
The Sr. Solution Architect, D&T, SAP QM collaborates with the team in various locations to define, deliver and support IT enabled business solutions for the Quality and Operation functions. This role will also help determine business needs and design & deliver technical solutions for these areas. The delivery of Quality systems including project delivery, system configuration and enhancement plus production support in alignment with West D&T and company policies and procedures will be your main focus.

Essential Duties and Responsibilities
Possesses solid understanding of overall vision and business needs and utilize specialized expertise to collaborate with Quality and Operations to define detailed User Stories for D&T enablement of business needs. This includes interpreting any issues and recommending solutions or best practices.
Utilizes knowledge of best practices to help define strategic direction, help determine business needs and design & deliver technical solutions for QA, in partner with Application and Infrastructure.
Essential core member of agile sprint team(s) to configure and develop optimal technical solutions / features.
Provide technical delivery of functionality to meet defined business requirements as described in User Stories.
Provide system support and maintenance in alignment with standards and process set within the ERP Services Delivery model, West policies and procedures as well as Regulatory requirements including but not limited to Sarbanes-Oxley and FDA GMP.
Create and maintain system lifecycle documents in accordance with West policies and procedures, including creation and maintenance of SOPs, SOIs and Job Aids.
Work within and participates in the Change Control process.
Other duties as assigned
Additional Responsibilities
Education
Bachelor's Degree Computer Science required or
Bachelor's Degree Information Systems required
Work Experience
Minimum 5 years 5-8 years of relevant experience required .3 or more full implementations of SAP QM solutions
Preferred but not required: Agile & Scrum Certification, ITIL
Preferred Knowledge, Skills and Abilities
Solid SAP skills – system functionality and technical understanding of QM and related areas (PP, MM, PM)
Must be up to date on latest ERP release.
Strong HANA knowledge preferred
Ability to work in a virtual environment in a global organization and to effectively prioritize and execute tasks in a high-pressure environment.
Able to be aware of all relevant SOPs as per Company policy as they are related to the position covered by this Job Description
Support and contribute in Lean Sigma programs and activities towards delivery of the set target
Able to comply with the company’s safety and quality policy at all times
License and Certifications
Information Technology\Certified Scrum Manager Upon Hire preferred
Travel Requirements
10%: Up to 26 business days per year
Physical Requirements
Sedentary-Exerting up to 10lbs/4kgs of force occasionally, and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time.

SAP Business One Consultant

Job Description:
We are looking for an SAP Business One Functional Consultant with 3–6 years of experience in implementation, configuration, customization, and support of SAP Business One.

Key Responsibilities:

Handle SAP Business One implementation, configuration, and functional support.

Gather business requirements and map them to SAP B1 functionalities.

Support modules such as Sales, Purchasing, Inventory, and Finance.

Coordinate with technical teams for customizations and integrations.

Provide user training and troubleshoot functional issues.

Required Skills:

3–6 years of hands-on experience in SAP Business One.

Strong understanding of SAP B1 modules and business processes.

Good communication and client-handling skills.

Retail industry experience is an added advantage.

Mechanical Design Engineer

Experience: 5+ years
Strong proficiency in PTC CREO and AutoCAD
Advanced skills in 3D modeling and mechanical design
Solid experience in designing steel structures
Very good knowledge of GD&T standards (GPS tolerancing is a plus)
Familiarity with welding standards and bolted connections
Good understanding of materials, especially steel and polymers
Experience in the Oil & Gas industry (nice to have)
Knowledge of relevant standards such as NORSOK, DNV, API (nice to have)
Experience with TeamCenter or similar PLM software (nice to have)
Fluent English –C1 level

Senior SAP Vistex Consultant

Experience: 5+ years

Key Responsibilities:
- Lead the design, implementation, configuration, enhancement, and support of SAP Vistex solutions in SAP ECC/S/4HANA environments.
- Gather business requirements and deliver end-to-end solutions, including design, testing, deployment, and post-go-live support.
- Work closely with Commercial, Finance, Supply Chain, and Pricing teams.
- Handle key Vistex processes, including Rebates, Incentives & Paybacks, Chargebacks, Billbacks, Pricing Agreements, Royalties, Licensing, and Claims Management.
- Ensure seamless integration with SAP SD and other SAP modules while adhering to enterprise architecture and compliance standards.
- Support global ERP transformation initiatives and mentor junior team members.

Required Skills & Qualifications:
- 5+ years of hands-on SAP Vistex implementation and support experience.
- Strong knowledge of SAP Vistex processes, particularly Rebates, Incentives, Pricing, Revenue Management, Chargebacks, and Claims.
- Good understanding of SAP SD and SAP ECC/S/4HANA integration.
- Experience working in complex enterprise environments and global, cross-functional teams.
- Strong analytical, problem-solving, stakeholder management, and communication skills.

SAP PP Developer

Essential Duties and Responsibilities
Possesses solid understanding of overall vision and business needs and utilize specialized expertise to collaborate with Quality and Operations to define detailed User Stories for D&T enablement of business needs. This includes interpreting any issues and recommending solutions or best practices.
Utilizes knowledge of best practices to help determine business needs and design & deliver technical solutions for QA, in partner with Application and Infrastructure.
Essential core member of agile sprint team(s) to configure and develop optimal technical solutions / features.
Provide technical delivery of functionality to meet defined business requirements as described in User Stories.
Provide system support and maintenance in alignment with standards and process set within the ERP Services Delivery model, West policies and procedures as well as Regulatory requirements including but not limited to Sarbanes-Oxley and FDA GMP.
Create and maintain system lifecycle documents in accordance with West policies and procedures, including creation and maintenance of SOPs, SOIs and Job Aids.
Work within and participates in the Change Control process.
Conform with and abide by all regulations, policies, work procedures, instruction, and all safety rules.
Other duties as assigned


Education
Bachelor's Degree Computer Science required or
Bachelor's Degree Information Systems required
Work Experience
Bachelor’s degree or equivalent experience in Computer Science or Information Systems
5-8 years of related work experience, i.e. 3 or more full implementations of SAP PP solutions
Preferred but not required: Agile & Scrum Certification, ITIL


Preferred Knowledge, Skills and Abilities
Solid SAP skills – system functionality and technical understanding of PP and related areas (QM, MM, PM)
Good knowledge on Shop floor and Manufacturing Interfaces (MES).
Must be up to date on latest ERP release.
Strong HANA knowledge preferred
Ability to work in a virtual environment in a global organization and to effectively prioritize and execute tasks in a high-pressure environment.
Proficient English language skills
Willingness to global travel
Able to be aware of all relevant SOPs as per Company policy as they are related to the position covered by this Job Description
Support and contribute in Lean Sigma programs and activities towards delivery of the set target
Able to comply with the company’s safety and quality policy at all times

Design Verification & Validation (DV&V) Engineer

Essential Duties and Responsibilities:

Understanding of product development lifecycles, design change and document change control, process verification and validation methodologies, manufacturing / production process control methodologies, and servicing.
Work closely with hardware and firmware engineers to develop test strategy.
Work on Design Verification and Validation test activities
Experience with electronic test equipment
Perform Design FMEA with guidance for the hardware and software module by discussing with hardware/Software design engineers and principal Architect
Report defects found during testing on the test management system and track defect status periodically.
Analyze and troubleshoot root cause problems with the product.
Successfully communicate appropriate project information to cross functional teams.

Education:
Bachelor's Degree Computer Science required or Bachelor's Degree Information systems required

Work Experience:
Minimum 3 years of relevant experience required

Work Location: Bangalore

Preferred Knowledge, Skills and Abilities:
Software reliability and automation tools.
Must have understanding on Hardware and Software Development tools.

SAP Basis Administrator

Essential Duties and Responsibilities:

Provide L2/L3 level support as part of Global Technical Team managing multiple SAP systems along with Non-SAP components.
All aspects of Application Life Cycle Management like installation, system upgrades, OSS notes, kernel patches, support packages etc.
Identify problem trends evaluating performance statistics and daily monitoring to ensure the SAP systems are optimized.
Responsible for database administration and underlying operating systems.
Maintain the integrity of the SAP and Non-SAP environments by managing the correction and transport system (CTS) to ensure all configuration objects are promoted properly.
Provide technical support for SAP issues like system dumps, job management, printer and spool administration along with enabling SAP user community in all matters related to SAP.
Perform system refreshes, client copies and server migrations.
Create and maintain SAP Basis documentation with regards to System operational procedures and instructions including changes to SAP landscape architecture.
Adherence to SAP Basis on-call support.
Liaise with cross functional teams and business users to drive continuous improvement initiatives while remaining current with emerging industry standards.
Analytical mind with a problem-solving aptitude

Education:
Bachelor's Degree Computer Science required or Information Systems required

Work Experience:
A minimum of 5-8 years of related work experience required

Work Location: Bangalore

Preferred Knowledge, Skills and Abilities:
Ability to work in a virtual environment in a global organization and to effectively prioritize and execute tasks in a high-pressure environment.
Ability to work autonomously in a fast-paced and complex environment with a self-motivated work ethic; utilize sound judgment with an ability to manage multiple priorities with a sense of urgency.
Able to be aware of all relevant SOPs as per Company policy as they are related to the position covered by this Job Description
Support and contribute to Lean Sigma programs and activities towards delivery of the set target
Able to comply with the company’s safety and quality policy at all times
Must be able to meet SLA timelines.
Keeps track of lessons learned and shares those lessons with team members