Description du poste

???????? Les tâches à effectuer seront donc les suivantes : ????????

???? Sur les environnements de recette utilisateurs :

• Déploiement de composants applicatifs et prise en compte des consignes spécifiques
• Mise en place de nouvelles chaines d'ordonnancement
• Communication auprès du service des actions réalisées.

???? Sur l'environnement de préproduction :

• Contribution à la stratégie des tests d’homologation
• Contribution aux actions de traçabilité de ces derniers au sein des outils de support de la qualification

???? Dans le cadre de la préparation de la Mise en Production (MEP) :

• Contribution au plan de MEP
• Répétition des gestes de MEP en respectant les modes opératoires prévus et le cadencement du plan de MEP
• Rédaction des tâches de changement

???? Contribution à la validation de l’exploitabilité de la solution et Validation d'Aptitude au Bon Fonctionnement (VABF) :

• Production du DTE
• Arrêt / Marche des composants, fourniture des logs, etc...
• Continuité / Disponibilité des composants applicatifs définissant le service concerné
• Supervision de la plate-forme et des composants applicatifs
• Stratégie de Sauvegarde et de Restauration
• Journalisation des évènements de jeux et Archivage

???? Sur l'environnement de production :

• Contribution à la réalisation de la MEP et support à la Validation de Service Régulier (VSR) des projets
• Assurer le Maintien en Conditions Opérationnelles (MCO) dans le respect des engagements de services communiqués
• Gestion des incidents de production et des problèmes (ITIL)
• Prise en charge des tickets d’incidents
• Participation aux recherches de rootcauses,
• Rédaction des RCA (Root Cause Analysis)

Qualifications

????De formation supérieure en informatique, vous justifiez de plusieurs années d’expérience sur un même type de poste.

✔️ Vous maîtrisez l’environnement technique suivant : Docker, Shell, Perl, ELK, Python, Salt, Gitlab, Oracle, AWS, SQL, OpenStack, Apache, UNIX / LINUX et Terraform.
✔️Vous avez un très bon niveau d’anglais.

✔️ Tous nos postes sont ouverts aux personnes possédant le statut RQTH.

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Job Description

In this role you will be responsible for developing and fully automating the trading algorithms, encompassing risk, cost, and tax optimization in cost-effective burst computations with the capacity to handle 1mn trades in 10 minutes for less than €10. In the near to medium term, you will also focus on upgrading our technology for capital taxation and addressing regulatory demands associated with market risk.

Furthermore, you will productionize algorithmic models that autonomously react to client requests and market movements across multiple tax regimes. This involves customizing smart rebalancing, cash-flow management strategies, inventory adjustments, all of this carried out on a cutting edge stack with the capacity to handle hundreds of thousands of individual trading decisions in minutes.

The Quant Development team leverages its knowledge to bring unique insights to clients that are otherwise reserved for institutional investors. For example, the Smart Predict feature, developed by the Quant Development team, offers clients an execution probability for limit and stop orders, generated by a sophisticated machine learning model.

• Develop hands-on in Python alongside a highly motivated team of software engineers and quant developers, driving transformative changes in the financial industry
• Get to work on cutting edge technology and be part of modern software development practices (e.g. agile and self-sufficient teams, continuous integration and deployment, test automation, cloud-based infrastructure and tooling)
• Manage the development of high-performance risk management tools serving regulatory purposes, near-real-time interactive dashboards and alerting systems overlooking the risk exposure in tens of thousands of positions
• Create the next generation wealth management and brokerage services for everybody
• Architect and deploy interfaces connecting the Scalable Capital Robo with key internal services to establish seamless connectivity with the external world
• Contribute and develop data-driven ideas aimed at generating business value
• Drive continuous improvements of data pipelines with respect to requirements and platform dependencies
• Fully automate trading algorithms driven by pure quantitative evidence that autonomously manage billions in assets
• Bridge the worlds of engineering and science by productionizing econometric models that react to market movements and client requests in hundreds of thousands of individual portfolios
• Never implement any of the above in spreadsheet tools
• Support investment managers, trading, backend, wealth management, risk

Qualifications

• Excellent university degree in computer science, mathematics, natural sciences, or a similar field
• Knowledge in econometrics with an emphasis on portfolio optimization and risk modelling
• Passion for the global financial markets
• Experience with convex optimization, exposure to libraries like cvxpy, scipy or cvxopt
• Experience in quantitative modeling and data-driven decisions
• Exposure and interest in our tech stack: Python, Docker, CI/CD pipelines,  Infrastructure as Code (Terraform), SQL
• Experience with cloud providers like AWS
• Knowledge of software development and software design in Python
• Excellent communication skills that are clear, concise, and targeted towards your audience - engineering, product, or other stakeholders
• Knowledge of relational databases / SQL
• Fluent English language skills (written & spoken)
• Proactive and independent working style, good time management, fair play

We would be happy if you write to us in the "message to the Hiring Manager" section about what excites you about the role and why you think you would be a great fit! Applications without such motivation will not be considered.

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Job Description

We are looking for a Lead Marketing Analyst to join our team as a contractor.  At Blend our Data Scientists work with business leaders to solve our clients’ business challenges. We work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Data Scientists have the business acumen to apply Data Science to many different business models and situations. 

We expect the Data Scientists to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.

• Understand client needs and customize existing business processes to meet client needs. 
• Promptly address client concerns and professionally manage requests.
• Understand Marketing Programs, Define/Document Campaign Requirement and Execution Plan
• Audience Management: Prospect/Owner Data Consolidation
• Campaign Performance and Analytics: Reporting & Insight
• Predictive Models Implementation
• Ingestion of FICO Score
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. 
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
• Assist client to deploy models and algorithms within their own architecture

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field
• 3+ years Professional experience in Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
• Experience leading a team
• Experience analyzing campaign performance
• Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS) 
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
• Experience with spark and data-frames in PySpark or Scala
• Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus

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Who we are

We are a leader in mobile technology, providing innovative solutions to 1.2 billion consumers. In an ever-increasing digital world, we help businesses grow their digital reach & toolkits to optimize user experience, increase engagement, attract new customers, and boost their revenues.

Think of performance marketing but on steroids as our top-notch marketers and engineers build digital journeys through an omnichannel marketing approach like no other. Currently, we work with the biggest names in Telco, Insurance, Education, FMCGs, and Retail in over 45 countries in Latin America, Africa, the Middle East, and South-East Asia.

The role

Our focus centers on streamlining the development, building, testing, integration, packaging, and deployment of our microservice-based products. We are looking for a Cloud Platform Engineerto join our team and help us maintain and scale our infrastructure to provide an even better experience for our users. An ideal candidate would be a passionate engineer who loves Linux, prefers working in the shell over an IDE, is intimately familiar with cloud infrastructure and VMWare virtualization, has a strong networking background, is comfortable in a polyglot environment, who thrives in true-agile, fast paced, production facing environments and loves hardware. A team member who may not have all the answers but knows how to find them.

What you will do...

• Help us define the future of our artifact and container-based deployment strategies.
• Evolve and support our immutable deployment platform.
• Contribute to the design of high-volume, low-latency applications for mission-critical systems, delivering high availability and performance while working closely with development teams.
• Design and implement on-premise and cloud infrastructure solutions on platforms such as VMWare, AWS, Azure.
• Maintain and upgrade our on-premise data center infrastructure.
• Optimize cloud infrastructure for cost, performance, and scalability.
• Develop and deploy Infrastructure as Code (IaC) using tools like Ansible and Terraform.
• Troubleshoot and resolve issues related to system performance, network connectivity, and security.
• Perform system upgrades, patch management, and security hardening.
• Adapt to and become part of a continuously evolving environment.
• Design and implement CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or other similar tools to automate the build, test, and deployment processes.
• Enable developers to quickly build, bake, and deploy images either locally, on Kubernetes and to the cloud.
• Work directly with Upstream engineers to provide a polyglot-friendly experience and first-class support for platforms built on Java, Python, Go, PHP and others.
• Monitor the performance, availability, and security of our on-premise and cloud environments.
• Contribute to the development of tools for automating deployments, unifying platform metrics, reporting, and monitoring.

• Expertise in VMware vCenter, clustering, and virtualization technologies.

• Experience managing bare metal servers, storages and SAN networks.
• Linux experience -- knowledge on Linux system administration and troubleshooting.
• Exposure to container technology (e.g., Docker), container orchestration systems (e.g., Kubernetes), container-focused Linux distributions, and cloud virtualization.
• Cloud experience -- designing and building tools and infrastructure for cloud platforms (e.g. AWS, Azure).
• Knowledge on DevOps tools -- Ansible, Terraform, Helm, Jenkins, Gitlab, Grafana, Prometheus, Loki amongst others.
• Operational experience -- comfortable providing support to other departments, optimizing deployments for availability and uptime, going deep on troubleshooting and remediation.
• Programming experience -- Bash, Python, Golang amongst others (both reading and writing).
• Knowledge of Relational Databases (e.g., PostgreSQL) and NoSQL systems (e.g., Redis, ElasticSearch, Couchbase, Cassandra).
• Great communication skills, both written and verbal.
• Eagerness to learn new technologies.

We offer a competitive base salary and benefits, directly dependent on the candidate’s qualifications and skills. The real excitement comes from working closely with a dynamic, smart, agile, and highly motivated team in a competitive and fast-paced environment.

Follow us on LinkedIn and stay updated on our latest news. Upstream is an equal-opportunity employer.
The Company does not discriminate on the basis of race, color, creed, pregnancy, religion, gender, national origin, age, disability, marital, or any other legally protected status. The Company also makes reasonable accommodations for disabled employees.
Finally, the Company prohibits the harassment of any individual based on their protected status. This policy applies to all areas of personnel actions including recruitment, hiring, training, promotion, compensation, benefits, transfer,and social and recreational programs

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Role Title – DevOps Engineer

Location: Remote

Work Pattern: Full Time/Contract

Security Clearance: Required

The Company:

At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.

Key Responsibilities:

• AWS & Terraform: Design, implement, and manage scalable cloud infrastructure on AWS using Terraform.

• Reverse Proxy / NGINX / Lua: Configure and manage NGINX reverse proxy solutions, utilizing Lua scripts for advanced routing and traffic management.

• Python Scripting: Develop Python scripts to automate tasks, integrate systems, and ensure smooth continuous deployment pipelines.

• Lambda Functions: Create and manage AWS Lambda functions to automate cloud operations and serverless applications.

• SSL Inspection: Implement SSL inspection for secure communication, manage SSL certificates, and troubleshoot SSL-related issues.

• Terraform Validation: Validate Terraform scripts on lower environments (development/staging) to ensure infrastructure changes are accurate, stable, and secure before promotion to production.

Requirements:

• Proficiency in AWS services, including EC2, S3, Lambda, IAM, VPC, and more.

• Strong hands-on experience with Terraform for infrastructure-as-code automation and management.

• Expertise in configuring and managing NGINX and reverse proxy solutions; Lua scripting experience is a plus.

• Strong experience with Python for writing automation scripts and creating APIs or backend services.

• Understanding of SSL/TLS protocols and hands-on experience with SSL inspection.

• Experience in validating, testing, and promoting Terraform scripts across different environments.

• Strong problem-solving skills, debugging capabilities, and attention to detail.

• Familiarity with DevOps tools and CI/CD pipelines.

Benefits:

• Join a rapidly expanding start-up where personal growth is a part of our DNA.

• Benefit from a flexible work environment focused on deliverable outcomes.

• Receive private medical insurance through Aviva.

• Enjoy the benefits of a company pension plan through Nest.

• 25 days of annual leave plus UK bank holidays.

• Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.

• Participate in a generous employee referral program.

• A highly collaborative and collegial environment with opportunities for career advancement.

• Be encouraged to take bold steps and embrace a mindset of experimentation.

• Choose your preferred device, PC or Mac.

Diversity & Inclusion:

Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:

• Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.

• Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.

• Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.

• By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.

Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.

What Happens Next?

Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

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Job Description

Join our AI Solution Success team within the Platform Product organization. Dive into customer-facing and internal projects alongside seasoned professionals. Contribute to cutting-edge innovations that drive business growth. Our global team fosters collaboration and shares best practices. If you're a results-driven problem solver who likes to dream big, join us in crafting scalable AI solutions!

Who we are?

We are a team composed of cross-functional SMEs from ATG, Platform, Business Units, Customer Outcomes, and multiple customer-focused teams of ML, SW, and QE engineers that bring varied perspectives and diverse expertise to drive customer adoption of AI experiences, as well as guide customer-driven innovation within the Platform Product team.

What's our purpose?

Accelerate value realization of AI-powered workflows by customers at scale.

What we do?

Work with early adopters (customers) to validate AI solutions and realize value by learning and quickly improving the solution on real customer data. We'll create practical implementation guides to support new implementations, boost adoption, and drive future product innovation. Some of the work from the team has been instrumental at improving customer adoption of our multi-language Natural Language Understanding (NLU), AI search, Task Intelligence, Issue Auto Resolution, Document Intelligence, and most recently, Generative AI with customers.

What you get to do in this role:

• You will implement AI products on the Now platform for our early adopter customers hands on.
  • Such products include all Now Assist Capabilities like LLM-powered VA Topic flows, conversational catalogs, AI Search (with Q&A) and many other latest applications.
  • You will also be expected to learn and support customers with existing AI products like Virtual Agent, NLU, AI Search, Issue Auto Resolution, Task Intelligence, Document Intelligence, and other upcoming capabilities before/after they hit the market. These capabilities may include classical Machine Learning Algorithms or Deep Learning based models like LLMs.
• You will be expected to learn about the newly released and pre-release features by getting your hands dirty and diving deep into the products. You will become an expert at implementing AI Solutions for various customers.
• You will debug and find quick workarounds for issues that are solvable on customer instances.
• Act as an SME to solve complex user issues related to AI solutions.
• You will not only validate these newly introduced products, but also work alongside other teams to help them quickly make improvements to the product. Help with getting product feedback to product and engineering teams to continually improve and expand product capabilities, features, and interoperability in consideration of customer needs and requirements. You will bring the on-ground issues faced by customers to the table.
• Help define best practices to build and use AI products and various AI testing tools with customers and educate the team.  Such tools may involve auto conflict detection, automation discovery, topic recommendation, batch testing tools, or generative AI tools.
• Analyze metrics to continuously measure the quality and E2E experiences of AI solutions with actionable insights.
• Prepare technical deliverables for customers in a consistent, high-quality, and timely manner.
• Be the technical escalation point in solving customer issues and coordinating and prioritizing timely resolutions with our engineering team. You will be hands on resolving issues for customers as you work live with engineering teams.

Qualifications

To be successful in this role you have:

Technical Skills
Must Haves:

• Experience and fluency with ServiceNow Workflows and Flow Designer.
• Expertise with ServiceNow scripting (Glide JavaScript) with knowledge of best practices and an understanding of why those are recommended. You should be thorough with Business Rules, Script Includes, Scheduled Jobs, Client Scripts, UI Policies.
• You should have great command of Now Platform building blocks like forms, tables, app development, update sets, instance upgrades, and provisioning.
• Passionate and persistent technical problem-solver with experience handling integrations with various systems and building applications on the platform to solve business problems.
• You should be well-versed in the art of debugging on the platform.

Good to have:

• We would like to dive deep into as many of the following areas as you have worked on:
  • Preferred expertise with integrations and Integration Hub.
  • Preferred experience with any AI solution like Virtual Agent flows, AI Search, Predictive Intelligence, IAR, TI, etc.
  • Preferred expertise with Performance Analytics Reporting (PAR).
• Preferred knowledge of either Python or Java.
• Preferred experience with performing analysis using MS Excel or other analytical tools.

Analytical Skills

• Understand Customer data by using analytical tooling and identify top issues that need to be automated.
• Preferred that you understand AI model basics and have an idea about how to measure a model’s performance.
• Understand the use cases from customers and chalk out a logical and technical solution to address the objective.

Communication Skills

• Strong customer-facing communication skills with sharp analytical skills to clearly identify the root cause of issues in products.
• Identify product improvement opportunities, initiate discussions with internal teams, and carry forward the initiatives to completion.
• Work with customers through their product adoption journey and provide guidance for maintenance of the product.

Soft Skills:

• Strong communication skills, both written and verbal, with a focus on active listening and effective contribution.
• The capability to influence and provide consultation by presenting various options with their respective advantages, disadvantages, and associated risks. Such discussions would involve solving technical or business problems alike.
• Interpersonal abilities coupled with a customer-centric mindset, enabling you to navigate cultural diversity effectively.
• A track record of achieving ambitious goals in fast-paced and innovative settings.
• Experience in documentation and presentation, particularly in supporting customer workshops and producing technical reports and tutorials.
• Adaptability to collaborate across different time zones on a global scale.

What you will bring

• Minimum of 8+ years of relevant work experience in a customer-facing technical role.
• You have a proven track record of driving deployments with large Enterprise companies with multiple stakeholders -- preferably AI-based products.
• You are confident in your programming proficiency in Java or JavaScript and enjoy thinking about business problems at a high level.
• You have a passion for discovering customer use cases, identifying gaps, and resolving issues in the product.

#productjobs

FD21

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

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Job Description

The ServiceNow Security Organization delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact 

The Team 

This role will be a part of the Security Engineering Org that reports to the Senior Manager of Public Cloud Security Engineering. The security engineering team targets building state-of-the-art technology that will help reduce the risk surrounding the sensitive assets of the company with the least impact possible on operations, acts as guidance and facilitator to the security operations teams and helps shifting Security perception from blocker to enabler by building a relationship of trust with the other teams. 

What you get to do in this role: 

• Build and operationalize security tools. 

• Build and automate new and existing workflows and trending metrics dashboards 

• Suggest security improvements by assessing the current situation, evaluating trends, anticipating requirements, and supporting proof-of-concept experimentations. 

• Create and present functional and technical designs including data analysis to business team, and gather feedback to influence solution design and approach 

• Direct and influence multi-disciplinary teams in implementing and operating Cyber Security controls 

• Participate in security incidents and help implement containment and eradication. 

• Evaluate audit and vulnerability findings and act upon them. 

• Serve as an expert for the different tools built by the team. 

• Act as guidance and facilitator to security operations. 

• Build strong relationships with different stakeholders. 

• Partake in efforts that shape the organization’s security policies and standards for use in hybrid cloud environments 

• Interpret security and technical requirements into business requirements and communicate security risks to relevant stakeholders ranging from business leaders to engineers 

• Ability to influence build vs buy decisions related to security tools 

• Accountable for the timely delivery of projects as per established roadmaps by working closely with the business teams 

• Participate in on call roster 

• Strong alignment with product management and engineering teams on roadmap and product feedback 

• Provide mentoring and training to peers and other colleagues in the organization 

Qualifications

To be successful in this role you have: 

• MUST HAVE 8+ years of Security Engineering is required 

• MUST HAVE 5+ Years working in the Public Cloud (GCP, AWS or Azure)

  • Compute, network, storage, content delivery, administration and security, deployment and management, automation technologies 

  • Preference is GCP, but OK if you have 2 of the 3 

  • Experience in infrastructure automation tools like AWS CloudFormation, Ansible, Terraform and equivalents. 

• MUST BE PROFICIANT In Python

  • REGO is a nice to have 

• Experience with containerization on Cloud, AKS or EKS (Dedicated/Managed/Serverless Kubernetes). 

• Experience implementing cloud native security tools like AWS Guard Duty or Azure Security Center.  

• Experience implementing Cloud Security Posture Management toolset. 

• Apply adept understanding and experience with systems automation platforms and technologies 

• Execute security architectures for cloud/hybrid systems 

• Automate security controls, data and processes to provide improved metrics and operational support 

• Build dynamic dashboards to track metrics 

• Employ cloud-based APIs when suitable to write network/system level tools for safeguarding cloud environments 

• Spot and execute new security technologies and best practices into the company’s Cloud offerings. 

• Strong working knowledge of system internals as well as networking. 

• Strong familiarity with Linux and Windows operating systems and cloud provider ecosystems like AWS/Azure/GCP. 

• Assist in the integration of Infrastructure pipelines with secure configuration parameters to remove or reduce known threat vectors. 

• Familiarity with common security vulnerabilities and the ability to judge their severity and impact to the business 

• A keen analytical mind for problem solving, abstract thought, and offensive security tactics with a goal to make security a strong enabler at ServiceNow. 

• Proven experience in being an effective team player and driven to automate and continuously improve 

• Ability to articulate complex issues to executives and customers 

#SecurityJobs 

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Job Description

Project – the aim you’ll have

Our client’s mission is to stop organizations from overpaying for the software they use. They help organizations optimize software availability, compliance and cost savings measures through the delivery of on premise and cloud-based Software Asset Management solutions. Today they are the largest and most successful dedicated developer of SAM solutions, with staff all over the world. To sustain their explosive growth, we are looking for bright, highly skilled people who have their best work ahead of them. Now is the right time to join our organization.

Position – how you’ll contribute

We are looking for a passionate Software Engineer to join a team that’s building our global scale, cloud native microservices data warehouse.

Our new data warehouse solution aims to create a single endpoint for accessing and managing data from a vast pool of sources and structures with exciting requirements, such as handling terabytes of data in real-time. We use a multi-cloud strategy where the software stack is built with a mix of programming languages such as C# (.NET) and Go.

The platform relies on technologies that can be deployed on any cloud provider, such as Azure, AWS and GCP, and also on-premise for our enterprise customers. Examples of technologies that are being used are Docker, Kubernetes, Prometheus, and SumoLogic.

This job presents a unique opportunity to work with leading cloud technologies and programming languages as we transform our market-leading offering to cloud native microservices. The team you will be joining will have a high degree of freedom to design and drive the implementation of a state-of-the-art data warehouse solution without large amounts of legacy to consider. Don’t miss out on this opportunity!

Qualifications

Expectations – the experience you need

• Strong knowledge and professional experience with GoLang
• .NET Framework experience
• Good knowledge and experience with microservices architecture – its design, implementation and deployment.
• MongoDB database experience
• Experience building large scale SaaS solutions with an understanding of Azure artifacts.
• Experience with unit testing
• Ability to work with modern CI/CD pipelines (CircleCI, GitHub Actions, Jenkins)

Additional skills – the edge you have

• Good understanding of ReactJS / Typescript and HTML/CSS
• Basic UX skills
• Experience building microservices in event-driven architecture like NATS Jetstream
• Experience working with cloud native technologies like Kubernetes
• Basic knowledge of cloud platforms like Azure, AWS or GCP
• Knowledge of Python
• PostgreSQL skills

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Job Description

-Design, develop, test, and deploy Python applications, modules, and scripts, adhering to best practices and coding standards. Create clean, maintainable, and reusable code to build scalable solutions.

-Collaborate with front-end developers and system architects to design and implement efficient, robust, and secure backend functionalities for web applications and services.

-Work with databases (SQL or NoSQL) to design and optimize data models, perform data manipulation, and ensure smooth data integration.

-Develop and integrate RESTful APIs to connect Python applications with external services, third-party platforms, and internal systems.

-Identify and resolve bugs, performance issues, and other technical problems to maintain the overall stability and reliability of the software.Write unit tests, conduct code reviews, and participate in testing efforts to ensure high-quality deliverables and a robust development process.

-Stay up-to-date with the latest Python-related technologies, libraries, and frameworks. Continuously improve development processes and code quality.

Qualifications

-2+ years of expertise in Python, with strong knowledge of at least one Python web framework such as Django, Flask, FastAPI, etc.

-Familiarity with some ORM (Object Relational Mapper) libraries.

-Able to integrate multiple data sources and databases into one system.

-Good Knowledge/experience with at least one Database Engine (PostgreSQL, MongoDb, MySQL, DynamoDB, etc..).

-Understanding of the threading limitations of Python, and multi-process architecture.

-Understanding of accessibility and security compliance.

-Knowledge of user authentication and authorization between multiple systems, servers, and environments.

-Understanding of fundamental design principles behind a scalable application.

-Familiarity with event-driven programming in Python.

-Understanding of write self-documented code, as well as tests (unit, acceptance, etc..).

-Expertise in GIT to manage source code.

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Job Description

Are you passionate about data analysis and visualization? We have an exciting opportunity for a skilled Data Analyst to join our Data-Driven Intelligence team.

• Creation of reports/dashboards where information is easily available to users for direct consumption and presented in a user-friendly way
• Creating analytical capabilities, exploring and extracting knowledge from data.

Qualifications

• Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields
• Experience with Data visualization tool (preferably Power BI and/or Tableau)
• Proficiency in SQL
• Professional experience in data analysis with programming, preferably Python (Pandas);
• Knowledge of Power Query and DAX is a plus.

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Job Description

We are looking for a Senior Python Developer w to contribute to maintaining, troubleshooting, and enhancing containerized systems. This role involves working on Linux environments, supporting users, and ensuring the reliability of databases and networking infrastructure. The ideal candidate is skilled in Python development, containerization, and debugging complex systems.

Key Responsibilities:

• Lead and contribute to the migration of codebases from Python 2 to Python 3.
• Develop, debug, and maintain Python-based applications.
• Manage and troubleshoot containerized environments using Docker.
• Perform Linux system administration and command-line operations.
• Debug and resolve issues across systems, ensuring reliability and performance.
• Work with networking protocols to optimize infrastructure.

Qualifications

Must-Have:

• Minimum 5 years of experience in Software development using Python
• Proficiency in Python programming and debugging
• Experience with containerization and managing Docker environments
• Strong Linux command-line and system administration skills
• Proven experience providing technical support to users/customers
• Competence in database management and SQL query writing
• Strong debugging skills across various systems
• Basic understanding of networking principles and protocols
• Good English language skills, both written and verbal

Nice-to-Have:

• Familiarity with Docker Swarm or other container orchestration tools
• Experience in web development, especially with Django and JavaScript
• Knowledge of CI/CD pipelines using Jenkins
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, InfluxDB)
• Experience working with and maintaining legacy systems
• Understanding of distributed system architectures

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Hello, we are AMBOSS and looking for a Working Student to join our Product Team!

About AMBOSS

AMBOSS is a learning and clinical decision support tool striving to empower physicians across the globe to provide the best possible care. Our founders set out in 2011 to create a tool that they would have hoped to have as medical students and doctors. Since then we have grown to currently operate in 180 countries and have gained immense traction in Germany and the US. Currently, we are pursuing this mission with more than 500+ employees in our offices in Berlin, Cologne, New York, and Cagliari.

Why can this position be exciting for you?

At AMBOSS, we’re redefining how medical knowledge is accessed. As a Working Student, you’ll work on a thesis project that will enhance our search platform by improving semantic retrieval, recommendation and ranking algorithms. You’ll support our Product Manager and collaborate closely with senior AI Specialists and Developers, so your work will directly impact medical education and healthcare by helping users find high quality content efficiently. This is a unique chance to advance cutting-edge AI technology while making a meaningful global impact.

What you will do:

• Work on optimizing the recommendation and ranking algorithms for semantic retrieval, focusing on broad medical topics.
• Conduct literature research to learn different recommendation algorithms and how they can be used in our hybrid retrieval pipeline (BM25 and Dense Retrieval using Embeddings).
• Collaborate closely with our Search Team, including Product managers, Software developers, and AI Specialists, to understand the challenges of semantic retrieval.
• Define and implement an evaluation strategy for different approaches to enhance user experience by making broad searches more relevant and insightful.
• Contribute to building and testing models, using data-driven methods to evaluate the impact of algorithm improvements.
• Implement an Online Randomised Controlled Trial (RCT, A/B test) measuring the impact of the improved recommendations for our users.
• Present findings and improvements to stakeholders, providing insights into how these changes enhance the user journey.

What you will bring: 

• A background in computer science, machine learning, data science, or related fields.
• You're familiar with information retrieval, semantic search, or recommendation systems.
• Strong interpersonal skillsto work closely with the search team, including AI specialists, developers, and product managers.
  

You enjoy

• Python programming with common data science libraries.
• Evaluating AI systems using offline and online experiments.
• Eagerness to learn, iterate, and adapt in a dynamic environment.
• You enjoy tackling challenging problems, especially those that require creative solutions in areas like semantic retrieval and machine learning.
• You find purpose in knowing that your work directly contributes to improving medical education and, ultimately, patient care.
• You thrive in an environment where experimenting with new approaches, learning from data, and iterating on your findings is part of the process.
• You enjoy working with a diverse team, bridging the gap between technical research and product-focused development.
• You have a drive to continuously enhance algorithms and user experiences, always seeking ways to deliver more relevant and precise information to users.

Benefits

AMBOSSians tell us that innovative work keeps them energized and employee benefits help them to feel appreciated and empowered. We invest in every AMBOSSian with our employee benefits package, crafted to support financial, physical, and mental health, and work-life harmony.

Check out all of our employee benefits below: 

https://go.amboss.com/the-amboss-prescription-de

We believe in diversity as a driving force of innovation and welcome people of all backgrounds to help us achieve our mission of empowering physicians to provide the best possible care – to everyone, everywhere.

Did we just describe your ideal next role? We encourage you to apply even if you do not meet all of the requirements.

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