Job Description

At Resultant, we are fearless problem solvers.  We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help.  Data analytics is a core component of how we do this.  We are looking for a Machine Learning Engineer to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today’s fast-paced environment. As a machine learning, you will have the opportunity to develop novel machine learning and AI (Artificial Intelligence) solutions and deploy them to production applications and systems.   

Here is what a typical day for you might look like:   

• Design, develop and deploy efficient data pipeline for both structured and unstructured data  

• Productionize machine learning research in both on premises and cloud environments  

• Rapid prototyping and adoption of new data sources  

• Maintain best software engineering practices  

• Drive optimization, testing and tooling to improve quality of solutions  

• Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before   

• Collaborate with data architects and software developers to plan and construct the architecture of model deployment   

• Develop and support APIs to serve models and other data solutions  

• Learn new tools and technologies to solve the problems faced by our clients  

Qualifications

*This is not an entry level/recent graduate role and requires at least 6+ years of related industry experience. Some of the qualifications and skills we are expecting are:   

• Bachelor’s degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required.   

• 4+ years of experience with software engineering in Python (additional languages like Scala/C++/R are a plus)  

• 2+ years of experience with Databricks and/or Spark  

• 2+ years of experience with advanced analytics and modern machine learning techniques  

• 4+ years of experience with APIs, containerization (Docker), and orchestration (Airflow)  

• 5+ years of experience with relational databases and SQL (Postgres, Redshift, SQL Server)  

• 3+ years of experience with Cloud platforms (Azure, AWS, GCP) and services  

• 3+ years of experience with Python API development frameworks (FastAPI, Django, Flask)  

• Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j is a plus  

• Experience with cloud native services such as AWS EMR, Databricks, HDInsight, Sagemaker is a plus  

• Proficient with version control and CI/CD 

• Proficient in software architecture and design patterns  

• Proficient on Linux for both development and operations  

Strong working knowledge of the following:   

• Modern data mining and machine learning methods   

• Statistics, mathematics, computer science, numerical methods, and data visualization   

• Linear algebra and probability   

• Rapid prototyping and development   

• Solution creativity and effective written, verbal, and presentation skills   

• Progressive mindset particularly around deployment models and emerging technologies   

• Collaborative team player who is detailed oriented, focused on solution quality and execution   

• Comfortable working across a wide range of project sizes and industries   

• Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems   

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Description du poste

TES PROCHAINS DÉFIS :

• Développer, implémenter et supporter des flux de données ETL afin d’extraire, transformer et charger des données en provenance de diverses sources de données vers le « Databricks Lakehouse » ;
• Prendre en charge tous les aspects du cycle de vie du projet, y compris : la conception, les tests, le déploiement, la documentation et le support post-implantation ; 
• Développer et implémenter des contrôles pour surveiller l’exécution des flux de données et apporter une visibilité sur la qualité des données
• Mesurer et améliorer de façon continue l’utilisation, la performance et les coûts reliés à notre plateforme de données ;
• Contribuer à bâtir et faire vivre la communauté de données VOSKER à travers diverses rencontres, activités et la création de contenu ;
• Apporter des solutions créatives afin de résoudre les défis que vous rencontrerez !

Qualifications

L'EXPERTISE RECHERCHÉE POUR NOUS AMENER PLUS LOIN: 

• Expérience avec une plateforme infonuagique telle que AWS, Azure ou GCP
• Minimum de 2 ans d’expérience avec Databricks
• Expérience de travail avec des bases de données relationnelles ainsi que NoSQL
• Bonne connaissance des pratiques d’ingénierie de données et des concepts reliés aux entrepôts de données et à la modélisation
• Minimum de 3 ans d’expérience avec SQL, Spark et Python/Scala/Java
• Expérience avec l’Infrastructure as Code (IaC) avec un framework tel que Terraform (un atout)
• Expérience avec un outil de contrôle de version CI/CD tel que : Jenkins, Github Actions, Bitbucket Pipelines, Bamboo (un atout)
• Expérience dans un mode de livraison Agile (un atout)
• Capacité à collaborer efficacement avec des équipes multidisciplinaires
• Être un joueur d’équipe !
• Baccalauréat ou maîtrise en informatique, ingénierie ou intelligence d’affaires ou dans un domaine connexe
• Minimum de 3 ans d'expérience dans un rôle d'ingénierie de données

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Job Description

What you will be doing:

• Day to day job, you will be part of multi-shore engineering team and working closely with squad lead, product owner to deliver features incrementally in SCRUM methodology.
• Work collaboratively within a squad of 4-6 members & be comfortable working with DevOps and cross-functional teams.
• Develop a new platform (greenfield project) from scratch on cloud native stack.
• Design, Develop, test, deploy and run on K8s

What you need to be successful in this role:

• Java Spring boot, microservices, REST, GRPC APIs
• 100% hands-on coding, writing clean, maintainable code accompanied by effective unit and integration tests
• Working in highly collaborative, fun loving team using Agile methodology
• Creating challenging application using Java from ground-up
• “Write code for others, not for yourself” – your code will be visible to thousands of developers

Qualifications

We are also looking for:

• 6-10 years of Java server-side development experience with decent understanding of core design patterns.
• Hands on experience in Java 11 and above
• knowledge of GIT, branching strategies, build and deployment pipelines
• Experience of Agile/Scrum development methodologies
• Experience with SQL and nosql databases
• Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)
• Hands-on on consuming and providing REST APIs
• Experience with microservices, Container Orchestration and Containerisation technologies
• Experience of dealing with scalability & performance issues on a distributed system
• Experience in event driven , asynchronous messaging ( SOLACE, KAFKA etc..)
• Knowledge of Kubernetes, API gateways
• Knowledge of OAuth & OIDC is plus
• Experience of GO, SCALA & SPARK is a plus
• Knowledge of CASSANDRA, KAFKA is a plus
• Knowledge of retail banking is a plus
• Cloud knowledge a big plus (AWS/GCP/terraform)
• Be nice, respectful, able to work in a team

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Job Description

The Software Engineer Manager will play a key role in the design and development of key initiatives within Experian Consumer Services. Direct to Consumer is one of the fastest growing areas with Experian and we are looking for a strong Manager that is hands on who thrives in a fast-moving environment. The candidate will work very closely with product owners, architects, and engineering teams to deliver high quality, scalable, cloud-based technology solutions.

Key Responsibilities:

• Design, Development and Testing of key programs within Engineering
• Development of technical solutions that are built for quality, scale and performance.
• Collaborate with the business, product management and PMO on product roadmaps and quarterly planning sessions.
• Participate in code and design reviews to minimize rework and catch issues early in the process.
• Ensure stable Production operations with focus on uptime, performance and reliability.
• Work efficiently as a part of a global team of engineers ensuring effective collaboration, communication, and delivery

Qualifications

• Bachelors, Computer Science or related field preferred or equivalent amount of experience, knowledge, and skills.
• 7+ years of software development experience in building MicroServices and APIs using Java and associated frameworks.
• Solid understanding and experience designing systems which are deployed in cloud-based containerized environments and orchestration solutions.
• In-depth understanding of Microservices, Event streaming, Data pipelines, and associated frameworks.
• Strong database programming skills, preferably in both SQL and NoSQL Databases.
• Able to work in a fast paced and dynamic environment and achieve results amidst constraints.
• Deep understanding of best design and software engineering practices, design principles and patterns and unit testing.
• Proven experience working in an Agile/Scrum environment.
• Architect and design leading solutions with a strong focus on security

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Job Description

The Principal Engineer will play a key role in leading the Architecture, Design and Development of key initiatives within the Marketplace domain in Experian Consumer Services. Direct to Consumer Marketplace is one of the fastest growing areas with Experian and we are looking for a technology leader who thrives in a fast-moving environment. The candidate will work very closely with product owners, architects, and engineering teams to deliver high quality, scalable, cloud-based technology solutions.

Ideal candidate will be a hands-on Engineer, who has deep expertise in the design and development of highly scalable cloud-native Java platforms; able to spend 80% of their time in architecture, design and development of enterprise grade software, and other 20% of their time in leading, mentoring other engineers on the team.

Key Responsibilities:

• Lead the Sizing, Design, Development and Testing of key programs within Marketplace Engineering
• Guides the development of technical solutions that are built for quality, scale and performance. 
• Design, Development and Testing of core components and Microservices within Marketplace Engineering
• Participate in code and design reviews to minimize rework and catch issues early in the process.
• Coach and support engineers on the team, with a strong focus on feedback and growth
• Drive hiring, training, career plans, and performance reviews for the engineering team
• Collaborate with the business, product management and PMO on product roadmaps and quarterly planning sessions.
• Ensure stable Production operations with focus on uptime, performance and reliability.
• Drives a continuous learning culture to help guide continuous improvements.
• Provides leadership on Lean/Agile principles and development practices.

Qualifications

• 12+ years of experience designing and building customer-facing distributed web services and APIs. (REST, GraphQL, etc.)
• MS in Computer Science or related field preferred or equivalent amount of experience, knowledge, and skills.
• Understanding and experience designing systems which are deployed in cloud-based containerized environments and orchestration solutions.
• In-depth understanding of Microservices, Event streaming, Data pipelines, and associated frameworks in a low latency environment.
• Experience building end to end observability dashboards using Splunk, Datadog, etc.
• Hands-on experience engineering solutions within the AWS ecosystem
• Strong database programming skills, preferably in both SQL and NoSQL Databases
• Proven experience in building, leading and inspiring high functioning technology teams.
• Ability to quickly learn & master new business domains to drive the right design and decisions
• Able to work in a fast paced and dynamic environment and achieve results amidst constraints.
• Deep understanding of design and software engineering practices, design principles and patterns and unit testing.
• Proven experience working in an Agile/Scrum environment.
• Architect and design leading solutions with a strong focus on security.

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Job Description

lastminute.com is looking for Database Administrator with certified experience for our Technology department.

On top of the responsibilities below Datastore Engineer will collaborate directly with software engineers, SREs and DevOps  in order to pursue our vision to let engineers use the right technology for the right use case, self-use the platform delegating also part of Data management in a safe way.

Key Responsibilities

• As Database Administrator we are responsible for the availability, performances, monitoring, and incident response of company databases running on multiple environments mainly based on MySQL, including also other datastore technologies like Redis, MongoDB, Elasticsearch, Kafka.

• We are responsible to Develop, implement and maintain automation tools and manage and monitor diverse database technologies 

• Contribute to Self Service capabilities 

• Installation, configuration, monitoring, upgrading and maintaining complex databases in production and non-production environments

• Collaborate with developers in defining optimal datastore needs and support them to optimize the usage.

• Root cause analysis of database related issues

• Create, support, and maintain business continuity and disaster recovery practices such as backup and recovery processes and implementation of high availability features ensuring DB are recoverable from backups/snapshot.

• Manage tracking, alerting, and reporting of database servers

• Be on-call for production databases on a rotation basis

Qualifications

Essential

• Strong experience and knowledge of AWS and related Datastore services 

• Minimum 4 years of experience as  DBA/DRE working with MySQL

• Familiar with Linux OS (specifically, CentOS) and able to use the OS tools to investigate performance issues

• NoSQL MongoDB/DocumentDB, DynamoDB, RDS, Elasticsearch, Elasticache/Redis knowledge

• Strong understanding of configuration management tools like Ansible and IaC tools (Terraform) and their best practices.

Desirable

• Knowledge of Mysql HA solutions (ex. Galera Cluster) and related traffic balancing methods.

• Working experience in an Agile Environment would be a plus. 

• Experience working with product owners or product managers

• Certifications in one of above described fields

• Good understanding of hybrid cloud architecture

• Experience in the programming language Java

Abilities/qualities 

• Proactive attitude, strong team working, communication and collaboration skills

• Leadership attitude and mental flexibility

• Excellent communication skills written and verbal skill is a must

• Good spoken and written english

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Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Advanced Analytics Office is leading an internal platform development that enables real-time analytics and optimization of factory processes. The platform has been implemented at various factories globally and added significant business value. The selected candidate will be a part of a dynamic team working closely with factory operations and the platform development team to provide solutions, specifically designed to address operational analytics challenges. This is a unique opportunity to be a part of a team that's instrumental in Western Digital’s Industry 4.0 journey. We are changing the way how analytics is used across global operations sites. This position covers the following activities:

• Support (manufacturing) operations analytics projects at global sites.
• Collect information about the business problems, understand the related current practices and the desired solution.
• Develop data pipelines for the analytics models, leveraging factory data sources.
• Develop analytics applications (full stack) with data backbone, integrated analytics engine and WebUI.
• Support the go-live phase of analytics applications.
• Maintain the models, participate in CI/CD activities.

Qualifications

REQUIRED:

• Master’s degree or equivalent (CS, CE, CIS, IS, MIS, or engineering discipline), experience in industry IT.
• Experience with relational SQL and NoSQL databases, including MariaDB and HBase.
• Experience with data pipeline and workflow management tools: Airflow.
• Experience with object-oriented/object function scripting languages: Python, etc.
• Experience in PHP, HTML, Java and C++.
• Experience with DevOps tools: Git, Bitbucket etc.
• Experience with analytics and applications frameworks: Plotly Dash, Anaconda, Streamlit etc.

SKILLS:

• Good interpersonal communication skills to contribute as a member of global, distributed teams focused on delivering quality services and solutions.
• Understand semiconductors manufacturing processes, and the associated operations data to be processed and analyzed.
• Cooperation skills, to work in a team under supervision of senior experts, while ability to work self-paced on individual assignments too.
• Able to distill complex technical challenges to actionable and explainable decisions.
• Work in DevOps teams by building consensus and mediating compromises when necessary.
• Demonstrate excellent engineering & automation skills in the context of factory optimization using continuous integration (CI) and continuous deployment (CD)
• Demonstrate ability to rapidly learn new and emerging technologies with ability to rapidly define engineering standards and produce automation code.
• Operational abilities including early software release support and driving root cause analysis and remediation.
• Ability to Work with and Engage Multiple Functional Groups
• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big data technologies.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Experience with the application of industrial engineering practices, WIP Management, Production Control and with preferred experience in a manufacturing environment.
• Good abstraction skills, critical thinking and problem solving ability. 
• Strong English verbal communication skills.

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Job Description

As a valued colleague on our team, you will act as team lead for the evaluation of the reasonableness for all components of financial models, cash flow simulations, P&L, and risk metrics calculations in end-user or production computing systems for use in business decisions, financial and regulatory reporting, and risk management, as well as coach and mentor team members.

THE IMPACT YOU WILL MAKE
TheLead Quantitative Financial Engineer role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Evaluate the accuracy of the end-to-end process that is executed daily to generate various measures of market risk exposure for a portfolio of financial instruments. Evaluate that accuracy for the individual components that this process relies on (data systems, analytics systems and models implemented in those analytical systems), and the accuracy of the integration between those components.
• Evaluate third-party economic driver models, financial instrument cash flow models, analytical systems and data systems to understand the differences between proprietary and third-party models/systems.
• Apply advanced skill, knowledge, and/or experience in translating complex business requirements into new proprietary modeling requirements for both economic driver models and financial instrument cash flow models, and into new implementation requirements for the analytics systems that rely on those models to generate measures of market risk exposure for a portfolio of financial instruments.
• Generate user acceptance test analysis results before proposed enhancements to the portfolio market risk exposure measurement process are adopted, to ensure they meet business needs. Make recommendation to business users on whether to adopt or not to adopt such enhancements.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 4 years

Desired Experiences

• Bachelor’s degree with 6 years or Master’s degree with 4 years or equivalent experience in quantitative sciences such as Physics, Applied Mathematics, Statistics, Economics, Finance, Computer Science, Engineering
• Experience working as a Lead Analyst
• Experience working with various stakeholders across Finance, Capital Markets and other lines of business
• Experience developing solutions to customer needs and having trade-off discussions with customers
• Proactive, creative problem solver with strong analytical skills. Must be able to define problem space as well as potential solutions
• Demonstrated strong analytical and problem-solving skills to conduct analysis independently to address complex economic or business problems
• Experience working with financial data, analytics and cashflows applications
• Experience interpreting the results of econometric modeling and statistical analysis
• Programming experience in coding and debugging custom SAS or Python scripts used for ad-hoc analysis of large datasets
• Proficiency in Unix/Linux environment
• Proficiency in SQL, relational and noSQL databases, query optimization and data modeling
• Embraces new technologies, enjoys finding opportunities for making existing systems and processes more efficient and seizing those opportunities

Skills

• Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, MicroStrategy, Tableau
• Experience gathering accurate information to explain concepts and answer critical questions
• Skilled in documentation and database querying for the purposes of analysis and data discovery, with the use of relevant software such as Excel and SQL
• Ability to frame ideas as systems and analyzing the inputs, outputs, and process
• Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design
• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
• Skilled in Influencing including negotiating, persuading others, facilitating meetings, and resolving conflict
• Adept at managing project plans, resources, and people to ensure successful project completion
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc
• Experience identifying measures, or indicators of system performance, and the actions needed to improve or correct performance to achieve desired outcomes

Tools

• Skilled in Excel
• Skilled in MicroStrategy or Tableau
• Skilled in Python object-oriented programming

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Job Description

People are everything here at BLEND360.  We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:

• Collaborate with a smart, passionate group of people who are invested in your success.
• You will work as part of our global Data Science team to provide data driven solutions for our customers using state-of-the-art methods and tools. 
• Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.
• Thrive with a company and leadership team who are committed to growth.

We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross validate our recommendations to make sure our recommendations will perform well over time.

Main Responsibilities

The role will also include significant consulting / client facing work comprised of:

• Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints.
• Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approach
• Work with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timeline
• Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings
• Create insightful and/or predictive summary variables from granular-level data
• Develop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and tools
• Document predictive models / machine learning results that can be incorporated into client-deliverable documentation
• Document key insights, recommend actions client could take, and quantify business impact
• Assist client to turn models and algorithms into implementable production codes

Qualifications

• Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering
• 3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization
• Experience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)
• Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus
• Experience in digital marketing a plus
• Experience Leading a Team/Projects 
• Strong communication skills

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Job Description

Your mission:

To reinforce the Synechron Switzerland team, we are looking for a Senior ML Ops Engineer for AI ML applications. Our mission is for one of our clients, a major/global financial institution in Zurich.

Your responsibilities:

• • Join a newly formed centralised MLOps team to build (& support) tools and setup automationthat improve the efficiency and productivity of data scientists.
  • Work closely and support data scientists and engineers in delivering solutions that bring cost savings to the client.
  • Some example projects are:
    • (i) Automating the packaging of modelsand deployment into an environment, with traceability on model version, experimentation and control checks
    • (ii) Enable continuous model monitoring to track model performance metrics(accuracy), detect performance and data drift, and generate anomaly and impact alerts where there is data quality or model degradation.
    • (iii) Establish security protection(malicious code execution, prompt injection attacks, data leakage, access control, encryption in transit/rest, IAM, etc.) in the ecosystem
    • (iv).Assist in decoupling the AI model from the hosting IT application.

Qualifications

Your profile and skills:

• You justify aMaster’s degree or equivalentin computer science, information systems, or another relevant field;
• You possess minimum 6 to 8+ years of practical experience in the field of machine learning and AI;
• You have a solid experience in the banking industry, with particular expertise in global financial institutions;
• You are a polyglot developer, able to code (or learn quickly) multiple languages, such as python, java, javascript, html, golang, etc
• You like to quickly pickup multiple technologies and use them in the correct manner.
• You have strong knowledge on know CI/CD pipelines and Agile frameworks, preferably with the MLOps context.
• You possess good familiarity with technologies such as: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook / JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual Environment, Containerization with Docker/Podman, GitLab, Azure DevOps, Kubernetes, Azure Load Balancer, Communication Standards, Communication Security, Non-functional KPIs (performance, scalability…), Splunk, Graphana, Kubernetes Container Monitoring.
• You produce secure and clean code that is stable, scalable, operational, and well-performing.
• You understand the security principles in the banking systems, and be up to date with the latest standards (security, best practices) in IT.
• You have good knowledge in SQL, NoSQL, Vector DB, Graph DB (is a plus)
• You are a team player with good communication and interpersonal skills;
• You are customer-oriented, committed, with a hands-on mentality.
• You speak English(German would be a plus);
• You possess a valid Swiss work permit, or you are EU national and willing to relocate to Zurich.

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Job Description

Description

Xplor are recruiting for a Senior Backend Software Engineer! Are you a team-player, motivated to make a difference, and looking for your next exciting career move?  We are a global provider of gym management software, dedicated to our vision of motivating, educating and inspiring individuals to a healthier lifestyle through the use of our ‘member-centric’ fitness software, and are looking to increase our team due to our continued global expansion. We offer the feel and freedom of a start-up, allowing you to innovate, whilst still providing the support of a stable and structured organisation.

The Role

Are you a passionate web applications developer with a strong focus on quality and technology? We're seeking a well-rounded professional who values continuous learning and strives to enhance our products and customer experience. Our ideal candidate has a deep understanding of the tools, technologies, and best practices behind delivering excellent customer experiences and highly available software. We're interested in craftspersons who take pride in their work.

Qualifications

What would make me a good candidate?

We are looking for curious and empathetic people. We also love to hear from people who are motivated by meaningful work, resonate with our four core values, have a positive outlook, are comfortable with ambiguity and thrive working in an ever-evolving and complex environment. We are inspired by meeting big picture thinkers and doers, people who can be both tactical and strategic, aim high and put people first in everything they do.

We are looking for an experienced back-end developer with the following qualifications:

Required:

• Strong hands-on experience with PHP using Symfony, ideally across multiple roles
• Strong knowledge of OOP and SOLID principles
• Good understanding of common design patterns and when to use them
• Familiarity with relational databases (e.g. MySQL)
• Proficiency in designing and building RESTful services and APIs
• Experience of test-driven development (TDD)
• Proficiency with Git and Docker

Beneficial:

• Experience with NoSQL databases (e.g. MongoDB, DynamoDB)
• Experience with AWS and serverless applications
• Experience of coaching and mentoring more junior members of the team
• An understanding of common web application security issues (OWASP Top 10) and mitigations

Soft skills:

• A strong problem solver who views complex challenges as opportunities
• Excellent communication skills for effectively collaborating with fellow developers, whether in person, via email or through technical documentation
• Ability to stay focused and prioritise tasks when requirements evolve or priorities shift

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