Infrastructure Operations Engineer focused on building and operating stable infrastructure foundations (server, virtualization, storage, data protection) while transitioning to private cloud and automating operational tasks.
INflow Federal is seeking a Data Engineer to design, develop, and maintain secure data pipelines, transformations, and analytics infrastructure supporting enterprise systems within a Department of Defense (DoD) modernization initiative.
Responsibilities
Design, implement, and maintain data pipelines and ETL processes for AI applications supporting ingestion, transformation, and validation of mission data
Develop and optimize data models and schemas for AI platforms across relational and non-relational databases to support system integrations and analytics
Collaborate with system architects, integration developers, and data analysts to ensure data consistency, security, and integrity across cloud environments
Implement data migration and synchronization between legacy systems, applications, and modern cloud platforms
Utilize AWS services (Glue, Lambda, S3, RDS, Redshift, Kinesis) to build and sustain scalable and fault-tolerant data infrastructure
Requirements
Bachelor’s degree in Computer Science, Information Systems, or a related technical field
Nice to have: Power BI
Nice to have: Tableau
Nice to have: QuickSight
Nice to have: AWS Certified Data Engineer – Associate
Piloter des projets d’infrastructure (réseaux, serveurs, cloud, cybersécurité) en respectant les délais, budgets et exigences clients, coordonner les équipes techniques et les parties prenantes, concevoir et déployer des architectures sécurisées, optimiser les performances, assurer le suivi des KPI et contribuer à la veille technologique.
Responsibilities
Piloter des projets d’infrastructure
Coordonner les équipes techniques et les parties prenantes
Concevoir et déployer des architectures sécurisées
Optimiser les performances des systèmes
Assurer le suivi des KPI
Requirements
Diplômé d’une école d’ingénieurs ou titulaire d’un Master (Bac+5)
MU Python and SAP CPQ Bootcamp
Introduction to Quote-to-Cash Workflow and Backend Development – Python and SAP CPQ Bootcamp
The Python and SAP CPQ Bootcamp is a comprehensive training program designed to build core Python programming skills while introducing participants to configuration and development within SAP CPQ. Through interactive lectures, hands-on exercises, and practical projects, participants will gain both technical proficiency and business-oriented insight into the quote-to-cash process.
Core Skills Covered:
Object-Oriented Programming (OOP) in Python
Apply OOP principles to design scalable, maintainable, and efficient solutions.
General SAP Knowledge
Develop a solid understanding of the quote-to-cash workflow and hands-on skills with SAP CPQ.
Advanced Python
Explore advanced concepts such as decorators, error handling, and best practices for clean coding.
Business Logic Implementation
Learn to translate business requirements into functional, reliable solutions.
Teamwork and Collaboration
Gain practical experience working in teams, including communication, code reviews, and collaborative problem-solving.
Project Lifecycle Insight
Understand the stages of project delivery, from requirements gathering to deployment.
Debugging and Code Optimization
Write robust, high-performing Python code and apply effective debugging techniques to resolve issues quickly.
Looking for a Test Automation Developer to design and implement testing independently for assigned features, ensuring quality throughout the software development lifecycle.
Locations (3)
Helsinki, Uusimaa, Finland
Oulu, North Ostrobothnia, Finland
Tampere, Pirkanmaa, Finland
Compensation
kiinteä kuukausipalkasi sijoittuu 3800-4700 euron välille
Responsibilities
Suunnittelet ja toteutatat testausta itsenäisesti sinulle osoitetuille ominaisuuksille.
Varmistat että laatu on mukana ohjelmistokehityksen eri vaiheissa.
Analysoit liiketoiminnan ja testattavan järjestelmän vaatimuksia ja muotoilet niistä testattavia kokonaisuuksia.
Suunnittelet testitapauksia ja testisuunnitelmia sekä huolehdit testauksen kattavuudesta ja dokumentoinnista.
Senior Manager, Risk & Post Market Surveillance (TPLC)
Lead and manage risk and post-market surveillance activities for NeuroPace’s medical device portfolio.
Compensation
$160K-$185K Base - Compensation will be determined based on several factors, including but not limited to skill set, years of experience, and geographic location.
Responsibilities
Serve as a subject matter expert in post-commercialization risk management processes and data-driven safety analytics.
Lead cross-functional efforts and meetings to analyze and synthesize complex data into actionable insights for senior leadership and other key stakeholders.
Maintain ISO 14971-compliant risk files, developing global Post-Market Surveillance plans, and leverage advanced statistical tools to detect emerging performance signals.
Implement, instruct, and support training of staff on risk management remediation directives based on findings and analysis.
Ensure all ongoing maintenance, continuous improvement and remediation efforts meet applicable quality and regulatory standards.
Build and maintain internal applications and automation systems for Recruiting, HR, Finance, Operations and other business functions using AI-powered workflows and LLMs.
Responsibilities
Build and maintain internal applications and automation systems for Recruiting, HR, Finance, Operations and other business functions
Identify manual processes that can be automated and define technical solutions based on business requirements
Develop AI-powered workflows using LLM APIs, agents and external tool integrations where appropriate
Build backend services, APIs, databases and interfaces to support internal applications
Integrate internal systems and third-party platforms to automate data processing, approvals and routine tasks
Lead the development of a modern, intelligent data platform, architecting scalable, cloud-native solutions for analytics, RAG, and feature engineering.
Responsibilities
Design and implement scalable data models using dimensional modeling and best practices for modern data warehousing.
Develop and scale dbt transformation pipelines, including testing, documentation, and modularization.
Architect and optimize Delta Lake / Apache Iceberg tables for high-performance analytics and large-scale ingestion.
Build production-grade processes in Python, integrating with various data sources & APIs.
Implement and manage KNN embedding storage for use in RAG pipelines and ML-powered search or recommendations.
Requirements
Bachelor's degree
Master's degree
PhD in computer science or electronics engineering
Looking for a Staff Software Engineer to spearhead the investment in an inference stack to deliver best-in-class performance, reliability, cost efficiency, and flexibility across open-source language models.
Compensation
Salary Range ($190- $230K) plus health insurance and equity. United States - Remote Pay Range: $190,000—$230,000 USD
Responsibilities
Lead the design and development of our production inference platform.
Define the technical roadmap for inference infrastructure, model serving, and runtime optimization.
Build and operate scalable, cost-effective systems for serving large language models in production.
Evaluate and integrate modern inference technologies, frameworks, and serving runtimes.
Optimize latency, throughput, GPU utilization, memory efficiency, and infrastructure cost.
Infrastructure Operations EngineerNewViva Republica (Toss) · Seoul, South Korea
Data EngineerNewINflow Federal · Remote, US
MU Python and SAP CPQ BootcampNewCLARITY · Mauritius
TestiautomaatiokehittäjäNewSolita · Helsinki, Finland+2 more
Senior Manager, Risk & Post Market Surveillance (TPLC)NewNeuroPace, Inc. · Mountain View, US
Software Engineer, AI AutomationNewBjak · China
Principal AI EngineerNewisolved · Hyderabad, India