Technical Manager

Technologies we use

About the project

Your responsibilities

• Technical Leadership:
• Lead and mentor the platform engineering team; establish coding standards, architectural patterns, and engineering practices that scale
• Own the technical roadmap for platform engineering, aligned with product goals and customer requirements
• Recruit and grow the team as the company scales
• Partner with the Head of AI Engineering to ensure the AI layer integrates cleanly with platform services
• Workflow & Data Architecture:
• Design and own the workflow orchestration layer using Temporal - the engine that drives how integrations and transformations are created, managed, and executed
• Build and evolve the core data processing pipeline - idempotent, fault-tolerant, and fully observable
• Design the Postgres data model supporting integration configuration, transformation versioning, execution history, and lineage tracking
• Platform Development:
• Build and maintain core platform services - REST and GraphQL APIs, integration framework, and the connector layer that links customer source and destination systems
• Design and implement the audit trail and immutable logging infrastructure that enterprise customers require
• Establish reliability practices: SLA definitions, monitoring, alerting, and incident response
• Scalability & Governance:
• Ensure all platform systems are highly available, performant, and cost-effective at scale
• Build the governance layer - access controls, data masking, encryption at rest and in transit - that makes the platform enterprise-grade
• Work with the Cloud Engineer on infrastructure needs, deployment architecture, and security posture

Our requirements

• 7+ years software or platform engineering; 3+ years in technical leadership roles
• Player-coach track record - has led teams while remaining hands-on technically
• Technical Skills:
• Strong Python or Java proficiency
• Production experience with Temporal or Cadence
• Distributed systems and microservices at scale
• Azure (primary) or AWS
• PostgreSQL - data modeling, schema design, query optimization
• Kubernetes and Docker
• REST and GraphQL API design
• Infrastructure as Code familiarity (Terraform)
• Financial Services Data Processing (Highly Valued):
• Experience building systems that handle sensitive financial data at scale
• Understanding of data lineage, audit trails, and immutable logging
• Familiarity with event sourcing and CQRS patterns
• Data encryption at rest and in transit, tokenization, data masking
• Building systems with strict SLAs, disaster recovery, and business continuity requirements
• Practices:
• Cloud/SaaS - has built and operated multi-user production systems in cloud environments
• Active user of AI coding assistants in engineering workflow

Optional

• Kafka or event streaming (Azure Service Bus, Kinesis)
• Multi-tenant SaaS architecture
• Data reconciliation or financial transaction processing background
• Familiarity with LLM integration patterns or agentic frameworks (Agno, LangChain) - understanding how an AI layer sits above platform services
• Real-time data streaming in financial services contexts

What we offer

• Hybrid model 3 days per week in the office /2 days for a parent of a child up to 4 years old
• To encourage cultural awareness and philanthropy, BBHers have 1 Culture Celebration Day and 1 Community Service Day in addition to their paid standard vacation allowance
• Task based working system
• Private medical care
• Life Insurance
• Employee Assistance Program - offering independent and confidential counselling services for you and your family. You can get support for topics including family, marriage and relationships, finances, and legal issues.
• Professional trainings and qualification support
• Wellbeing Program
• Online Social Fund benefit platform
• Social, sport and integration events
• Onboarding Program for new hires

Benefits