Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Experience Requirements:

• 6+ years of experience in full-stack software development using .NET technologies, SQL Server and JavaScript

Other Requirements:

• Strong experience with C# and .NET Framework for building web applications and services

• Proficiency in JavaScript for front-end development

• Deep understanding of Microsoft SQL Server, including query optimization and database design

• Experience using Entity Framework for data access

• Familiarity with version control systems (e.g., Git) and agile development methodologies

Responsibilities:

• Develop and maintain web applications using C# and the .NET Framework.

• Design and build RESTful APIs to support integration between systems and frontend applications.

• Work with Microsoft SQL Server to write and optimize queries, stored procedures, and manage data structures.

• Use Entity Framework for efficient and maintainable data access.

• Write clean, testable, and maintainable code in accordance with best practices and coding standards.

Experience Requirements:

• 10+ years of overall experience with Oracle ERP technical stack

• Minimum of 8 years hands-on expertise with Oracle PaaS and Fusion technologies

Other Requirements:

• oracle integration cloud (oic)

• oracle fusion cloud applications

• oracle paas

• vbcs (visual builder cloud service)

• pcs (process cloud service)

• application composer

• atp/dbcs (autonomous transaction processing/database cloud service)

• fusion financials (gl, ap, ar, fa, ppm, pc)

• fusion procurement modules

• rest

• soap

• wsdl

• bi publisher

• otbi

• fusion reporting tools

• fbdi (file-based data import)

• adfdi (application desktop integrator)

• hdl (hcm data loader)

• data migration

• requirements gathering

• technical analysis

• solution design

• testing

• go-live support

• written communication

• async collaboration

• independent work

• adaptability

• Deep proficiency in Oracle Integration Cloud (OIC) and key PaaS development tools

• Functional and technical expertise with Fusion Financials and Procurement modules

• Advanced knowledge in web service development (REST, SOAP, WSDL)

• Extensive reporting skills using BI Publisher and OTBI

• Proficiency in data migration techniques: FBDI, ADFDI, HDL

• Excellent written communication skills

• Thriving in asynchronous team environments

Responsibilities:

• Lead the design, development, and implementation of Oracle Integration Cloud (OIC) solutions.

• Build and enhance integrations utilizing VBCS, PCS, Application Composer, and ATP/DBCS.

• Deliver technical solutions across Oracle Fusion Financials (GL, AP, AR, FA, PPM, PC) and Procurement modules.

• Develop and consume REST, SOAP, and WSDL-based web services for seamless system connectivity.

• Create and optimize reporting using BI Publisher, OTBI, and Fusion reporting tools.

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 3-5 years experience developing Android applications

• Strong knowledge of Kotlin and Android fundamentals

• Experience with Jetpack Compose and modern Android development practices

• Familiarity with building responsive and interactive user interfaces

• Understanding of Android design patterns and best practices

Other Requirements:

• Applicants must be eligible to work in the US.

Responsibilities:

• Design and build Suno’s Android app for creating, exploring, and listening to music

• Create foundational abstractions and libraries for performant, highly interactive media experiences

• Own feature development from zero to one, and beyond.

• Contribute to design and product decisions across the app

• Optimize the performance, joy, beauty, and feel of our products

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years of experience in data engineering, with a strong grasp of Big Data engineering concepts, data architecture design, and performance optimization.

• Experience with data modeling, warehousing and building ETL pipelines.

• Experience with SQL and Python.

• Experience in scaling data pipelines from the ground up (0 to 1)

Other Requirements:

• Applicants must be eligible to work in the US.

• Passion for engineering excellence, rapid iteration, learning, and hard work.

Responsibilities:

• Serve as a critical contributor to the Suno products team, providing insights and solutions that influence high-level decisions and shape the product roadmap.

• Design, develop, and maintain complex data products, systems, platforms, and pipelines to build scalable, secure, and high-quality big data solutions that seamlessly integrate diverse data sources, process high-volume real-time and batch data, and ensure data integrity, quality, and compliance.

• Collaborate with scientists, ML engineers, software developers, business leaders, and product teams to define data requirements, architect solutions, and implement data-driven opportunities that enhance customer experiences.

• Leverage advanced analytics and data engineering practices to uncover actionable customer insights that drive the development of innovative and enhanced customer experiences for Suno.

• Implement and monitor data systems to ensure high availability, reliability, and scalability while advocating for and applying best practices in big data engineering and analytics.

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 3-5 years of backend or full-stack development experience

• Strong foundation in software engineering principles and practices

• Experience with web technologies and modern frameworks (Python, Django, React, or similar)

• Familiarity with databases and data storage solutions (Postgres, Redis)

• Strong problem-solving skills and attention to detail

Other Requirements:

• Applicants must be eligible to work in the US.

Responsibilities:

• Build Suno’s apps for creating, exploring, and listening to music

• Architect and build services to handle massive consumer traffic, data, and usage

• Design systems that are performant, scalable, and easy to observe

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Experience Requirements:

• 3+ years commercial experience in software engineering with Python

• Strong programming skills in Python (clean code, OOP)

• Hands-on experience with LLMs and Generative AI

• Experience with backend frameworks (FastAPI) and SQL/NoSQL databases

• Practical experience in cloud environments (AWS, GCP, Azure)

Other Requirements:

• Personal project or practical frontend experience (React, Node.js, Nest.js, Typescript)

• Practical experience and strong interest in Data Science and Machine Learning

• Curiosity about latest trends in GenAI (IDP, Embeddings, Vector Databases, OpenSource LLMs)

Responsibilities:

• Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers

• Assist in transforming Data Science prototypes into production-ready solutions

• Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI

• Ensure code quality and implement good software engineering practices

• Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure)

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 5+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python or Java/Scala: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Hands-on experience with Big Data technologies like Spark, Airflow, Iceberg, CI/CD, Kafka

• Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS)

Other Requirements:

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

• Fluent English (C1 level) is a must

Responsibilities:

• Design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Airflow, Iceberg

• Design and implement data management and data governance processes and best practices

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with corporate clients

• Hands-on experience with Data Science applications (NLP, Computer Vision, Generative AI, Machine Learning, Predictive Modeling)

• Hands-on experience in ETL, data preparation, and data wrangling techniques

• Proficiency in Python and cloud platforms (preferably Azure, AWS)

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Building technical solutions that deliver measurable value

• Identify opportunities to expand service offerings and project potential with clients

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)

• Experience in leading end-to-end Machine Learning projects and managing cross-functional teams

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)

• Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)

Other Requirements:

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills

• Understand clients’ needs and translate business problems into data science problems

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s degree in technical or mathematical studies

Experience Requirements:

• At least 4 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes

• Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design

• Hands-on with Big Data technologies like Spark, Cloudera, Data Platform, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi

• Excellent understanding of dimensional data and data modeling techniques

• Experience implementing and deploying solutions in cloud environments

Other Requirements:

• Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant

• Ability to work independently and take ownership of project deliverables

• Fluent English (at least C1 level)

• Experience with an MLOps framework such as Kubeflow or MLFlow

• Familiarity with Databricks, dbt or Kafka

Responsibilities:

• Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability

• Design and implement data pipelines that process large volumes of data in both streaming and batch modes

• Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow

• Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently

• Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 1 year of proven commercial experience developing, or maintaining Big Data systems

• Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark, Azure Event Hub or Kafka

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• 4-day week

• 23 days annual leave + bank holidays

• health insurance

• retail & leisure perks

• electric car scheme

Experience Requirements:

• Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company

• Solid-Strong Python development skills

• Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development

• Hands-on experience delivering stable, scalable SaaS products with measurable customer impact

• Experience managing infrastructure partners and external technical relationships

Other Requirements:

• Confident and polite stakeholder management

• Excellent communication - bridging tech, product, and commercial discussions seamlessly

• Customer-first mindset

• Ability to grow a business from early-stage traction to a large-scale, enterprise-grade platform

• Leadership in a fast-paced, high-growth environment

Responsibilities:

• Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions

• Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture

• Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention

• Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security

• Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution

Education Requirements:

• B.Sc. in Industrial Engineering, Computer Science, or a related technical field

Experience Requirements:

• 4+ years of experience in analytics engineering, BI development, or similar data roles

• Highly skilled in SQL, with hands-on experience using Snowflake or similar cloud data warehouses

• Proficient in DBT for data transformation, modeling, and documentation

• Experienced with Tableau or similar BI tools for data visualization

• Familiar with CI/CD for data workflows, version control systems (e.g., Git), and testing frameworks

Other Requirements:

• Strong communicator who can collaborate effectively with both technical and non-technical stakeholders

• Passionate about translating complex data into clear, scalable insights that drive product innovation

Responsibilities:

• Design and implement robust data models to transform raw data into analytics-ready tables

• Own and maintain our dbt pipelines with a focus on scalability, modularity, and clear documentation

• Continuously evolve our data models to reflect changing business logic and product needs

• Build and maintain comprehensive testing infrastructure to ensure data accuracy and trust

• Monitor the health of our data pipelines, ensuring integrity in event streams and leading resolution of data issues

Benefits:

• The opportunity to be part of an innovative, fast-growing startup.

• A collaborative, flexible, and supportive work environment where your contributions directly impact the product's success.

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Experience Requirements:

• Proven experience as a Front-End Developer or similar role, preferably in tech or startup environments.

• Expertise in front-end technologies, including JavaScript, CSS, HTML, and frameworks like React.js, and tailwind.

• Experience with responsive and adaptive design principles.

Other Requirements:

• Strong problem-solving skills and attention to detail.

• Excellent communication and teamwork skills, with a knack for bridging the gap between technical and non-technical teams.

• Maintain an online presence between the hours of 9am - 4pm EST

Responsibilities:

• Design and implement robust front-end solutions for our visual IDE, optimizing for performance and scalability.

• Work closely with UX/UI designers to translate design concepts into functional code.

• Contribute to the development lifecycle, including coding, testing, debugging, and deployment.

• Ensure high-quality graphic standards and brand consistency.

• Stay updated with emerging front-end technologies and methodologies, integrating them to enhance our platform's capabilities.

Benefits:

• Stock options and bonuses based on performance and ability

• Salary increase

Experience Requirements:

• 3+ years of experience

• Experience implementing UI using libraries such as Vue.js / React.js / Typescript

• Experience setting up development environment using NPM

• Experience debugging in various web browser environments

• Experience applying design patterns / Best practices

Other Requirements:

• Experience with version control using Git

Responsibilities:

• Application development using Vue

• Web-based UI implementation

• Implementing additional features, refactoring existing code

• Frontend system architecture design

• Product design and code-related strategic planning

Benefits:

• Stock options and bonuses based on performance and ability

• Salary increase

Education Requirements:

• Bachelor's degree in Computer Science, Engineering or related field or equivalent education, fellowship or work experience

Experience Requirements:

• 4+ years of iOS app development experience

• 2+ years of development experience with Swift

Other Requirements:

• Excellent logic and problem-solving skills

Responsibilities:

• B2B Digital Twin Solution iOS app development

Benefits:

• Premium healthcare program for you, your spouse, and your children

• Annual vacation and sick days

• Meal vouchers

• Subscription for public transportation

• Mobile phone plan

Experience Requirements:

• 3+ years of experience in test automation

• Experience developing and maintaining test frameworks

• Experience with large-scale CI/CD pipelines

• Hands-on experience working with Kubernetes and related cloud-native projects

• Ability to write clean, efficient, and functional code using high-level programming languages

Other Requirements:

• Comfort with shell scripting or other scripting languages like Python

• Strong ownership of projects and good communication skills

• Experience developing in Golang

• Experience with public cloud APIs like AWS

Responsibilities:

• Rolling out and maintaining on-premises and cloud infrastructures used for our product development and testing

• Building test frameworks and enhancing product test coverage

• Implementing and supporting CI/CD pipelines

• Developing tools to automating our technical daily routines

• Developing and enhancing Infrastructure as Code templates

Benefits:

• World-class compensation, exceeding top technology companies and startups.

• Work with exceptional colleagues to solve novel and exceedingly difficult problems and change the way the world develops software.

• Expand your network - Guillermo Rauch (founder of Vercel), Jason Warner (CTO of GitHub), Calvin French-Owen (founder of Segment), Jared Friedman (YC partner and founder of Scribd), Scott Belsky (CPO of Adobe), Arash Ferdowsi (founder of Dropbox) and many others are all personal investors in Meticulous. We can connect you with anyone in the technology world if there is a commercial reason for doing so.

Experience Requirements:

• Work with some of the very best engineers who were previously at Uber, Google, Dropbox, GitHub, Meta and Palantir, including previously leading 100+ engineer organisations at these companies.

Responsibilities:

• Build a distributed system to concurrently replay thousands of sessions, such that a developer gets a result in seconds.

• Integrate Meticulous into the inner loop of agentic code generation, to produce a coding agent far beyond anything that exists today - by giving it a feedback loop to understand the exhaustive impact of every change it makes and iterate against; while also allowing it to understand the full runtime behaviour of the code it editing and space of data and edge cases it may operate over.

• Derive algorithms to detect sessions that cover differing code paths and edge cases, and ignore sessions that are too similar.

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• bachelor’s degree

• PhD

Experience Requirements:

• Minimum of 8 years of related experience with a bachelor’s degree

• PhD with 3 years’ experience

• Minimum of 10 years of related experience with a bachelor’s degree

• PhD with 5 years’ experience

Other Requirements:

• PhD in Chemistry or Biology or a related field, or similar experience preferred

• Strong software and technical skills including: Python and scientific computing ecosystem (e.g., Pydantic, asyncio, FastAPI etc)

• Experience with Kubernetes (e.g., ability to create/manage Helm charts)

• Track record of designing and developing in coordination with frontend developers

• Ability to work with DevOps/CloudOps engineers

Responsibilities:

• Work in a cross-functional team that spans the full domain of drug discovery

• Support a software platform that supports the drug discovery Design-Make-Test-Analyze (DMTA) process

• Provide software development support for the platform: Efficient and maintainable backend server software including Postgres integration

• Deployments to Kubernetes in AWS (in collaboration with our cloud engineers)

• Collaborate on the creation, testing and maintenance of the platform