דרושים 24/7 Business Technology Platform Engineer ב-Sap ב-Bulgaria, Burgas

What you'll do:

• Analyze application performance data to identify CPU, memory, and resource allocation inefficiencies and suggest improvements.
• Implement right-sizing, autoscaling, and efficient resource requests/limits.
• Recommend architectural or configuration changes to improve system stability.
• Build and maintain automation scripts for cleanup tasks, scaling policies, and resource optimization.
• Develop and implement strategies to optimize services, including application and infrastructure tuning.
• Perform code reviews, unit testing, and participate in agile ceremonies such as sprint planning and retrospectives.
• Keep up with emerging technologies and advocate for continuous improvements in the development process.
• Design and implement Java-based back-end services using Spring Boot and integrate them with SAP HANA for data processing and analytics.
• Build and maintain RESTful APIs, and ensure seamless communication between front-end and back-end components.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Write clean, maintainable, and well-documented code, following OOP and design best practices.
• Work on CI/CD pipelines and ensure smooth deployments using tools like Jenkins, Docker, Gradle, or Mave

What you bring:

• Strong understanding of application architecture, cloud environments, and system performance tuning.
• Understanding of containerization and microservices architecture.
• Experience working in large-scale, multi-tenant environments.
• Experience in a cloud-native environment (AWS, Azure, or GCP).
• Excellent problem-solving skills with a focus on proactive performance management.
• · Strong collaboration skills, able to work across multiple teams (development, operations, and cloud teams).
• Familiarity with scripting languages (Python, Bash, etc.) is a plus.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• CI/CD experience using tools like Jenkins , Git , Docker , Maven , or Gradle.
• Solid understanding of version control systems , particularly Git .
• 3+ years of experience in Java development with Spring Boot

We win with inclusion

Successful candidates might be required to undergo a background verification with an external vendor.

Original Posting Date: 06/23/25

Work Model: Hybrid work model

Purpose and Objective:

Expectations and Tasks:

Education and Occupational Experience:

Bachelor’s degree or foreign equivalent in Computer Science, Information Systems, Business Administration, or a related field of study and seven (7) years of progressive post-baccalaureate experience in the job offered or related occupation. Alternatively, a Master’s degree or foreign equivalent in Computer Science, Information Systems, Business Administration, or a related field of study and five (5) years of experience in the job offered or related occupation.

Qualifications/Skills and Competencies Experience:

Experience must involve five (5) years in the following:

• Defining the Roadmap and future state architecture for SAP Solution Landscape meeting the strategy of Intelligent Enterprise;

• Defining technical architecture and Infrastructure for SAP HANA and SAP S/4HANA;

• Using various hyperscaler specific infrastructure solutions and virtualization technologies be able to apply towards SAP application deployment;

• Database technologies with strong understanding of performance tuning;

• Plan and architect the de-escalation strategy and bring the SAP solution back to operations;

• Downtime minimization technologies like ZDO and Downtime Optimized Conversions; and

• Defining the Instance and Landscape Strategy for Hybrid SAP landscapes.

Travel: Position requires up to 40% domestic and international travel to various unanticipated client sites.

This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the .

Internal use only: reference code lhrs4262

We win with inclusion

Philadelphia

Original Posting Date: 06/23/25

Education and Occupational Experience:
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics or a related field of study and five (5) years of progressive post-baccalaureate experience in the job offered or related occupation. Alternatively, a Master’s degree or foreign equivalent in Computer Science, Engineering, Mathematics or a related field of study and three (3) years of experience in the job offered or related occupation.

Qualifications/Skills and Competencies Experience:
Experience must involve three (3) years in the following:
• SAP Financials Architecture and Application components SAP General Ledger, SAP Accounts Payable, and SAP Accounts Receivable and SAP Central Finance;
• ABAP or JAVA;
• SAP Root-Cause Analysis;
• SAP Netweaver Architecture and Database performance tuning; and
• Analyzing SAP Finance core business processes.

Travel: Position requires 30% domestic travel.

This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the

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PhiladelphiaJob Segment:Pre-Sales, Compliance, Computer Science, Accounts Payable, Accounts Receivable, Sales, Legal, Technology, Finance

Compensation Range Transparency:The annual base salary range for this position is126,256 - $196,010.the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is$135,600 - $230,600. Theand any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements:

Philadelphia

Original Posting Date: 06/23/25

Job Title: Senior DevOps Engineer

Work Model: Hybrid Work Model

Purpose and Objective:

Expectations and Tasks:

Education and Occupational Experience:

Bachelor’s degree or foreign equivalent in Computer Science, Information Systems, or a related field of study and six years of experience in the job offered or related occupation. The Employer will accept 3 or 4 years Bachelor’s degree. Alternatively, a Master’s degree or foreign equivalent in Computer Science, Information Systems, or a related field of study and four years of experience in the job offered or related occupation.

Qualifications/Skills and Competencies Experience:

Experience must involve four years in the following:

• Node.js, Python, Golang or Java;

• Working in an Agile, fast-paced, DevOps environment;

• Modern back-end technology stacks, tools and standards;

• Data structures and storage systems, and other technical tools: Postgres, Redis, Kafka, Elastic Search, or Hana Database;

• Microservices infrastructure orchestration such as Docker, Kubernetes, and Terraform;

• Performance monitoring – Prometheus, Grafana, Dynatrace, Application Performance Monitoring, or Solarwinds;

• Continuous integration/continuous deployment tools – Jenkins, Argo, or Github Actions; and

• SAP Cloud Operations and Integration: Service Provider Cockpit, Cloud Reporting, Business Technology Platform, or Service Now.

This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the .

Internal use only: reference code lhrs4262

We win with inclusion

PhiladelphiaJob Segment:Cloud, Computer Science, Information Systems, Compliance, Program Manager, Technology, Legal, Management

Responsibilities:

• Analyze and refine Spark workloads to enhance performance and resource efficienc.. This includes tuning parameters, re-engineering data processing pipelines, and ensuring optimal execution strategies.
• Implement monitoring solutions to detect and diagnose performance bottlenecks or failures in Spark applications. Solve complex runtime issues related to resource allocation, execution errors, or data inconsistencies.
• Collaborate with various parts of the organization to design and build a framework that allows Business Data Cloud workloads to scale effortlessly and elastically across distributed data environments.
• Produce documentation on best practices for Spark optimization and conduct training sessions or workshops to enhance the broader team’s expertise in performance tuning and support strategies.
• Lead AI-automation initiatives to improve workload scalability and efficiency.
• Mentor engineering teams and lead cross-functional global collaborations

Qualifications:

• Deep familiarity with principles of distributed computing, including concurrency, fault tolerance, and network latency, which are essential for optimizing distributed data processing.
• Comprehensive knowledge of Apache Spark architecture, including its core components like the driver, executor, and cluster manager, as well as Spark's execution model.
• Expertise in performance profiling and tuning Spark applications, including optimizing resource allocation, parallelism, and shuffling processes to reduce execution time and improve efficiency.
• Skilled in writing efficient SQL queries and transformations using SparkSQL and DataFrames, optimizing operations to reduce computation overhead.
• Strong debugging skills to identify and resolve runtime issues, optimize code paths, and rectify configuration or environment-related problems.
• Experience with tools such as Spark's web UI, Ganglia, Grafana, or Prometheus for monitoring application status and diagnosing performance bottlenecks.
• Comprehensive understanding of AI, ML trends and their applications in the distributed Data query execution space.
• Excellent leadership, mentorship, and communication skills.
• Strategic vision and deep analysis skills to foresee industry advancements

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We win with inclusion

Successful candidates might be required to undergo a background verification with an external vendor.

What you'll do

This position requires the ability to work and communicate in a dynamic, interdisciplinary and intercultural team in an agile and efficient way. As a thought leader in Machine Learning ,you appreciate the possibility for learning and personal development and therefore you keep track of the latest developments and share your knowledge actively with others. You will be working with and leading teams to successful projects in the context of Machine Learning Technology.

What you bring

• Degree in Computer Science, Information Technology, Mathematics, Physics or Data Science
• 3 or more years relevant work experience
• Good overview of Machine Learning trends and technology, like Generative AI and LLM
• Experience in implementation of Machine Learning solutions and platforms
• Knowledge and experience in Machine Learning Programming Frameworks, like TensorFlow or scikit
• Programming skills like Java, Python, JavaScript, NodeJS, Jupyter Notebook, ABAP (good to have)
• Database Knowledge
• Web and Cloud Computing Knowledge
• Ideally SAP applications and technologies (S/4 HANA and BTP) and/or SAP systems integrations
• Customer engagement and implementation experience
• Fluency in English (written and spoken)
  

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.

San Jose
Palo AltoJob Segment:Cloud, ERP, Information Technology, IT Manager, Project Manager, Technology