This is a hybrid leadership role part tech lead and architect part people manager. Youll own the technical direction and delivery of the team: shaping how we productionize deterministic and classical ML pipelines (and increasingly AI pipelines built around LLM calls) setting architectural standards and making the calls on how our services scale and evolve.
Youll manage a team of roughly 57 engineers and QAs growing them technically and professionally while staying hands-on enough to lead by example in the codebase.
Expect roughly 70% technical leadership and architecture 30% people management with hands-on engineering woven throughout. Were looking primarily for technical depth and judgment. Formal people-management experience is valuable but not the deciding factor well coach the right technically astute leader into the management side.
Responsibilities:
Own the architecture technical roadmap and delivery of the teams backend and AI/ML systems from design through production operation.
Lead the productionization of ML and AI work turning data scientists experimentation into reliable maintainable services standalone or integrated with dependent systems.
Design and review data and ML pipelines: deterministic/classical ML pipelines as the core plus complex data pipelines incorporating LLM calls.
Set and uphold engineering standards code quality testing observability deployment practices and MLOps lifecycle discipline.
Own delivery for the team planning prioritization and dependable execution against commitments.
Stay hands-on: contribute directly to critical services prototypes and the hardest problems.
Manage mentor and grow a team of 57 engineers and QAs career development performance hiring and day-to-day delivery.
Partner with product business other backend teams and DevOps to align on priorities interfaces SLAs and integration.
Drive decisions on infrastructure deployment (CI/CD) monitoring and reliability across the teams systems
Requirements
6 years of professional software engineering experience with strong backend and AI/ML systems exposure
Deep technical command of Python and asynchronous programming
Strong relational database skills schema design query optimization and indexing (PostgreSQL and MySQL)
Production experience with data processing at scale Databricks/Spark
Experience building and orchestrating pipelines with Airflow Production experience with stream processing Kafka or equivalent
Experience with Python web frameworks particularly FastAPI Experience with in-memory data stores such as Redis Solid grounding in containerization and orchestration Docker and Kubernetes
Ownership of deployment and delivery practices CI/CD and release management
Working knowledge of data pipelines AI/ML pipelines and the MLOps lifecycle
Demonstrated technical leadership driving architecture mentoring engineers and setting standards whether as a lead staff engineer or manager
Strong analytical thinking problem-solving and communication skills
Nice to have:
Prior formal people-management experience (though well coach the right technical leader into this)
Experience productionizing LLM-based / GenAI pipelines Familiarity with recommendation systems ranking or personalization
Familiarity with observability stacks (Prometheus/Grafana or similar)
Exposure to columnar data processing libraries (Polars pandas) Gaming or SaaS domain experience
Able to start in the role within 3 weeks
Benefits
Competitive tax-free salary in line with the market
Discretionary performance bonus based on individual team and company performance
Comprehensive medical insurance
Annual flight allowance
Visa sponsorship
Annual leave Learning and conference budget
Hybrid working
Required Skills:
Qualifications Education Bachelors Degree in Information Technology Computer Science Engineering Information Systems or a related discipline. Masters Degree in Business Administration (MBA) Information Technology or a related field is preferred. Professional Certifications (Preferred) PMP (Project Management Professional) ITIL Foundation or Advanced Certifications TOGAF Digital Transformation or Enterprise Architecture Certifications Experience Minimum 1215 years of experience in Information Technology Enterprise Applications Digital Solutions or Digital Transformation. Minimum 5 years of experience in a managerial or leadership role. Mandatory experience within Banking Financial Services Investment Management Sovereign Wealth Funds Asset Management or related financial institutions. Proven experience leading large-scale digital transformation and enterprise application initiatives. Experience managing ERP systems enterprise platforms cloud migration programs and system integration projects. Strong track record in stakeholder engagement and business-technology alignment. Technical Skills & Expertise Strong knowledge of Enterprise Applications ERP platforms and Digital Business Solutions. Experience with cloud technologies system integration APIs and digital platforms. Good understanding of Artificial Intelligence (AI) Automation RPA Data Analytics and emerging technologies. Knowledge of cybersecurity governance risk management and compliance frameworks. Experience managing technology vendors and outsourced service providers. Strong project and program management capabilities. If this sounds like you Apply Now!
This is a hybrid leadership role part tech lead and architect part people manager. Youll own the technical direction and delivery of the team: shaping how we productionize deterministic and classical ML pipelines (and increasingly AI pipelines built around LLM calls) setting architectural standards...
This is a hybrid leadership role part tech lead and architect part people manager. Youll own the technical direction and delivery of the team: shaping how we productionize deterministic and classical ML pipelines (and increasingly AI pipelines built around LLM calls) setting architectural standards and making the calls on how our services scale and evolve.
Youll manage a team of roughly 57 engineers and QAs growing them technically and professionally while staying hands-on enough to lead by example in the codebase.
Expect roughly 70% technical leadership and architecture 30% people management with hands-on engineering woven throughout. Were looking primarily for technical depth and judgment. Formal people-management experience is valuable but not the deciding factor well coach the right technically astute leader into the management side.
Responsibilities:
Own the architecture technical roadmap and delivery of the teams backend and AI/ML systems from design through production operation.
Lead the productionization of ML and AI work turning data scientists experimentation into reliable maintainable services standalone or integrated with dependent systems.
Design and review data and ML pipelines: deterministic/classical ML pipelines as the core plus complex data pipelines incorporating LLM calls.
Set and uphold engineering standards code quality testing observability deployment practices and MLOps lifecycle discipline.
Own delivery for the team planning prioritization and dependable execution against commitments.
Stay hands-on: contribute directly to critical services prototypes and the hardest problems.
Manage mentor and grow a team of 57 engineers and QAs career development performance hiring and day-to-day delivery.
Partner with product business other backend teams and DevOps to align on priorities interfaces SLAs and integration.
Drive decisions on infrastructure deployment (CI/CD) monitoring and reliability across the teams systems
Requirements
6 years of professional software engineering experience with strong backend and AI/ML systems exposure
Deep technical command of Python and asynchronous programming
Strong relational database skills schema design query optimization and indexing (PostgreSQL and MySQL)
Production experience with data processing at scale Databricks/Spark
Experience building and orchestrating pipelines with Airflow Production experience with stream processing Kafka or equivalent
Experience with Python web frameworks particularly FastAPI Experience with in-memory data stores such as Redis Solid grounding in containerization and orchestration Docker and Kubernetes
Ownership of deployment and delivery practices CI/CD and release management
Working knowledge of data pipelines AI/ML pipelines and the MLOps lifecycle
Demonstrated technical leadership driving architecture mentoring engineers and setting standards whether as a lead staff engineer or manager
Strong analytical thinking problem-solving and communication skills
Nice to have:
Prior formal people-management experience (though well coach the right technical leader into this)
Experience productionizing LLM-based / GenAI pipelines Familiarity with recommendation systems ranking or personalization
Familiarity with observability stacks (Prometheus/Grafana or similar)
Exposure to columnar data processing libraries (Polars pandas) Gaming or SaaS domain experience
Able to start in the role within 3 weeks
Benefits
Competitive tax-free salary in line with the market
Discretionary performance bonus based on individual team and company performance
Comprehensive medical insurance
Annual flight allowance
Visa sponsorship
Annual leave Learning and conference budget
Hybrid working
Required Skills:
Qualifications Education Bachelors Degree in Information Technology Computer Science Engineering Information Systems or a related discipline. Masters Degree in Business Administration (MBA) Information Technology or a related field is preferred. Professional Certifications (Preferred) PMP (Project Management Professional) ITIL Foundation or Advanced Certifications TOGAF Digital Transformation or Enterprise Architecture Certifications Experience Minimum 1215 years of experience in Information Technology Enterprise Applications Digital Solutions or Digital Transformation. Minimum 5 years of experience in a managerial or leadership role. Mandatory experience within Banking Financial Services Investment Management Sovereign Wealth Funds Asset Management or related financial institutions. Proven experience leading large-scale digital transformation and enterprise application initiatives. Experience managing ERP systems enterprise platforms cloud migration programs and system integration projects. Strong track record in stakeholder engagement and business-technology alignment. Technical Skills & Expertise Strong knowledge of Enterprise Applications ERP platforms and Digital Business Solutions. Experience with cloud technologies system integration APIs and digital platforms. Good understanding of Artificial Intelligence (AI) Automation RPA Data Analytics and emerging technologies. Knowledge of cybersecurity governance risk management and compliance frameworks. Experience managing technology vendors and outsourced service providers. Strong project and program management capabilities. If this sounds like you Apply Now!
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