Generative AI Pipeline Engineer (Tech Lead)

About Phi
Phi Partners has been a trusted capital markets consultancy for more than 20 years, providing quantitative and technology expertise across front office, pricing and risk.

We support more than 80 financial institutions across the buy-side and sell-side through niche capabilities spanning quant, engineering, vendor platforms and cloud infrastructure.

Our teams work on complex, real-world problems across models, analytics, applications, data and cloud infrastructure, within an international delivery organisation built around regional hubs and specialist centres of excellence.

For people who enjoy technically demanding work in capital markets, Phi offers the opportunity to work closely with expert colleagues and major financial institutions on high-value, business-critical initiatives.

About The Practice
As part of our partnerships with various clients, we are currently expanding our Murex team to keep pace with the growing demand in this area. Our Murex consultants work on projects involving settlement processes, payment systems, confirmations, accounting integration, and regulatory reporting.

Each project typically lasts 12 to 18 months, providing valuable experience with Murex’s pre-trade and posttrade modules across diverse asset classes. As a firm, we offer a comprehensive range of Murex services, including business requirement analysis, system configuration, workflow optimization, and end-to-end process support.

Roles and Responsibilities

System Integration and Configuration

• Collaborate with clients to configure and integrate the Murex platform according to their specific business and functional needs.
• Implement and configure Murex modules, ensuring efficient integration of Front, Middle, and Back Office operations.
• Customise workflows, settings, and interfaces to align with client requirements for trading, risk management, and reporting.

Implementation and Interface Development

• Assist in the end-to-end implementation of Murex, ensuring smooth integration with third-party systems and data feeds.
• Design and develop interfaces for market data, trade feeds, and risk systems.
• Ensure accurate data migration and transformation between Murex and external systems, including trade booking, settlement, and reporting platforms.

Client Support and Training

• Provide ongoing support to clients during and after the Murex implementation phase.
• Troubleshoot integration-related issues and provide technical solutions for complex integration problems.
• Deliver training to clients on Murex integration workflows and best practices, ensuring efficient system usage.

Data Management and Integrity

• Ensure the integrity and accuracy of data flowing through the Murex system, including pricing, trade, and market data.
• Manage the setup and processing of key market data (e.g., interest rates, FX rates) across the Murex platform.
• Implement data validation and reconciliation processes to maintain system accuracy.

Regulatory and Compliance Support

• Assist clients in configuring Murex to meet regulatory requirements such as MiFID II, Basel III/IV, and other financial regulations.
• Ensure that Murex configurations support compliance with industry standards in risk and reporting frameworks.

Cross-Functional Collaboration

• Work closely with Front Office, Risk, and IT teams to ensure seamless integration and alignment of Murex solutions across departments.
• Collaborate with developers, business analysts, and consultants to design and implement customized solutions.
• Participate in project management activities, ensuring timely delivery and quality control throughout the integration process.

System Optimisation and Enhancement

• Continuously optimise Murex system configurations to improve performance and ensure scalability.
• Identify opportunities for process automation and efficiency improvements within the system.
• Stay up to date with the latest Murex releases and integration technologies to enhance system functionality.

The Ideal Candidate

Technical Skills

• Murex Platform: In-depth knowledge of the Murex platform, particularly in system integration, interface development, and module configuration.
• Programming and Scripting: Proficiency in scripting languages such as MxML, SQL, Unix, and familiarity with XML or Python for building custom interfaces and optimizing data flows.
• System Architecture: Strong understanding of system architecture, including trade capture, data mapping, workflow automation, and API integrations.
• Data Management: Proficient in managing and integrating large datasets, ensuring data accuracy during migration and transformation processes across Murex and external systems

Financial Knowledge

• Financial Instruments: Comprehensive knowledge of financial instruments such as derivatives, fixed income, FX, and money markets, and their integration within Murex.
• Regulations: Familiarity with financial regulatory frameworks, such as MiFID II, EMIR, Basel III/IV, and the associated implications for trade and data integration.

Analytical Skills

• System Analysis: Strong analytical and problem-solving skills to troubleshoot system integration issues and optimise workflows.
• Process Optimisation: Ability to assess system performance and identify areas for automation and optimization in Murex workflows.

Communication And Interpersonal Skills

• Client Interaction: Excellent communication skills to work with clients, translating complex technical concepts into understandable business terms.
• Cross-Functional Collaboration: Strong teamwork skills to collaborate with IT, Front Office, Risk, and other internal teams during the integration process.

Educational Background

• Computer Science, Engineering, or Finance: A degree in computer science, engineering, finance, or a related field is typically required.
• Certifications: Industry certifications like Murex Specialist Certifications, FRM (Financial Risk Manager), or CFA (Chartered Financial Analyst) are a plus.

Experience

• Murex Integration: Prior experience in Murex integration projects, including system configuration, data migration, and interface development.
• Financial Services: Experience working within the financial services industry or with a financial software provider, focusing on systems integration and workflow automation.

This is an excellent opportunity to establish yourself within a rapidly expanding consultancy firm. The right professional can grow their managerial and leadership abilities while continuing to actively contribute in a hands-on technical manner on challenging global projects.

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As Part Of Our Team, You Will

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our Ideal Candidate Would Have Experience With

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with:

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.

We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.

We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

About The Team
DevOps teams include five areas — Cloud (AWS), Frontend DevOps, Backend DevOps, Core DevOps, and Kubernetes DevOps. We provide a stable, secure, and scalable infrastructure that powers all TradingView services, and we also support the tools and processes that accelerate product development and releases.

Responsibilities

• Rapid identification and resolution of infrastructure issues, ensuring stable system operation.
• Deployment, configuration, and launch of new services and applications.
• Design, implementation, and maintenance of CD pipelines to automate deployments.
• Working with monitoring and logging tools to improve system reliability.
• Collaboration with the development team to optimize deployment processes and infrastructure.

What Makes You The Perfect Fit

• Strong hands-on experience with Kubernetes.
• Experience with AWS and a solid understanding of cloud infrastructure.
• Knowledge of Terraform for describing and automating infrastructure as code.
• Hands-on experience with Ansible for configuration automation.
• Strong Linux skills and system administration experience.
• Experience with Docker and application containerization.
• Proficiency in Bash for scripting and task automation.
• Knowledge of Python for writing utilities and automating processes.

Will be a plus

• Multi-cluster or fleet management solutions
• Experience working with Jenkins
• Bare-metal Kubernetes

What We Offer You

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!

TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.

We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.

We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

About The Team
We are looking for a highly experienced Data Architect to design, evolve, and manage our enterprise data architecture.

In this role, you will work closely with Backend, Solution, and Infrastructure architects to define standards and ensure our financial data streams are easy to connect, reliable, and cost-effective. You will act as a strategic leader—facilitating Architecture Review Boards, creating Architecture Decision Records (ADRs), and mentoring data engineers and analysts.

If you are passionate about building reliable real-time financial data streams, want to influence our company-wide data strategy, and are eager to prepare our infrastructure for AI/ML innovations, we would be happy to meet you..

Responsibilities

• Design and evolve the corporate data architecture, including real-time streaming pipelines and Data Lakes.
• Participate in and facilitate Architecture Review Boards to establish data standards, best practices, and cross-functional alignment.
• Develop Architecture Decision Records (ADRs) covering Data Tiering, Data Retention & Lifecycle Policies, Data Quality Metrics, and Master Data Management.
• Build Data Lineage and centralized data ownership processes using metadata tools.
• Define, negotiate, and monitor SLA/SLO for data-related metrics, managing the overall Data Quality Program.
• Make well-reasoned technological choices for data storage (Data Warehouses, Data Lakes, Lakehouses) balancing functional requirements with financial optimization.
• Formulate long-term data strategies and prepare the infrastructure for AI/ML adoption (AI-Ready Lakehouse, semantic layer, Feature Stores, ML pipelines).
• Collaborate with cross-functional teams and present architectural proposals to the Chief Architect and CTO.
• Mentor data engineers and analysts to elevate the team’s engineering practices

What Makes You The Perfect Fit

• 10+ years of experience in similar large-scale organizations working with geo-distributed architectures, hundreds of services, and petabytes of data.
• Expert-level SQL skills and deep knowledge of Data Warehouses (e.g., Redshift, BigQuery, Snowflake, Azure Synapse) and Data Lakes/Lakehouses.
• Strong background in real-time data delivery, with deep knowledge of Change Data Capture (Debezium, native CDC, AWS DMS) and streaming platforms (Apache Kafka, Kinesis, Pub/Sub).
• Hands-on experience with data processing tools such as Spark, Flink, and dbt.
• Deep experience with at least one AI/ML ecosystem (e.g., AWS Redshift + SageMaker, GCP BigQuery + Vertex AI, Databricks MLflow, or Snowflake Intelligence).
• Practical experience with Data Governance, Data Quality monitoring (e.g., Great Expectations), and infrastructure tools (Docker, Kubernetes, Terraform, CI/CD).
• Strong communication skills, with a track record of integrating analytical storage with RDBMS (PostgreSQL) and NoSQL databases.
• English proficiency at B1 level or higher.
• Strong command of Russian is required.

What We Offer You

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!

TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.