About the Role

The CTO Intelligence Hub is OPSWAT’s internal AI-powered data platform; dashboards and APIs that give leadership real-time visibility into AI adoption, financial performance, customer health, and sales. The platform runs on a fleet of Flask, FastAPI, and Streamlit applications backed by a Fabric → Parquet → S3 data pipeline, all tied together by an agentic coding system where GitHub Issues become production pull requests in under three minutes.

As AI Platform Architect, you own the application layer. You design and build new intelligence products, evolve existing dashboards, and work with the AI coding pipeline — writing the specs, reviewing the plans, and guiding the implementation. You are the “human senior engineer” in a team where your main coding collaborator is Claude.

What You Will Own

• Application architecture: Flask APIs, FastAPI microservices, Streamlit dashboards; schema and data-flow design across 12+ applications
• Agentic coding pipeline: creating well-scoped GitHub Issues, reviewing AI-generated implementation plans, approving or refining, merging PRs; the pipeline (claude-coder) takes issues from triage to production PR in ~3 minutes for routine work
• Data pipeline & analytics: extending the Fabric → Parquet → S3 pipeline; designing new analytics (percentile ranking, quadrant analysis, trend computation); HR enrichment and data quality
• Test-driven development: writing pytest spec suites that the AI implementer must satisfy; test files are the spec and cannot be modified by the AI
• Claude API / CLI integration: building features that call Claude for inference (content generation, analysis, RFP answering); working with OAuth-based CLI inference and direct API patterns
• UX & visualisation: Plotly dashboards, Jinja2 templates, React/Vite prototypes; maintaining the OPSWAT brand system across all apps
• Architecture documentation: keeping Confluence up to date as the system evolves; writing CLAUDE.md context files that teach the AI pipeline how each repo works
• New product design: identifying gaps in current intelligence coverage and proposing, scoping, and shipping new internal tools

You Will Be a Strong Fit If You Have

• 3–7 years of Python backend development (Flask, FastAPI, or equivalent)
• Strong data skills: pandas, SQL, Parquet, data modelling; you are comfortable designing a metrics pipeline from raw HR and usage data to ranked leader-board
• Experience working with LLM APIs (OpenAI, Anthropic, or equivalent) in production
• A test-first mindset: you write tests before code and believe the test suite is the specification
• Clear written communication because your primary “pairing partner” reads GitHub Issues, your ability to write precise, unambiguous requirements directly determines output quality
• Comfort reading and reviewing AI-generated code critically; you know when to approve, when to push back, and when to take the keyboard yourself
• Experience with REST API design and documentation

Nice to Have

• Streamlit or Plotly dashboard development
• React / TypeScript (for UX prototypes)
• Microsoft Fabric, Azure Data Warehouse, or similar cloud data platforms
• Familiarity with GitHub Actions and CI/CD pipeline design
• Experience building multi-language document processing (the RFP automation covers 14 languages)
• Prompt engineering and system-prompt design for agentic workflows
• OPSWAT product knowledge (MetaDefender, OESIS, CDR - not required but helpful)

The Role: Our group is looking for a seasoned full stack developer to work on important internal services which are critical to the firm. Our team is also actively engaged in AI-related projects, offering exciting opportunities to contribute to cutting-edge technologies. As a full stack developer, you will have the opportunity to advance the architecture and develop complex frontend views to ensure optimal user experiences.

• Develop/Maintain internal web applications on premise
• Create/Present API design specifications
• Write well designed, tested code
• Create and maintain software documentation

What You’ll Bring:

• Expertise in Python/Java web frameworks such as FastAPI, Flask, Django and others
• Experience in HTML, CSS, JavaScript/TypeScript
• Demonstrated experience in developing scalable and robust software web applications
• Experience with popular JavaScript libraries and tools such as React.js, Material-UI, Vite
• Working experience with SQL databases (PostgreSQL , MySQL)
• A solid background in Unix/Linux environment
• Experience with CI/CD
• Experience with Docker and containerized application
• Excellent debugging and problem solving
• Excellent communication and collaboration skills.
• Experience with Kubernetes or distributed systems is a plus

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-VP1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration.

What You'll Do:

• Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale
• Architect data storage and processing solutions, including schema design, query optimization, and data modeling
• Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers
• Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries
• Take ambiguous requirements and break them down into deliverable, well-engineered solutions
• Diagnose and resolve complex production issues - applying strong analytical and systems thinking
• Improve engineering practices: testing, CI/CD, observability, and documentation

What You'll Bring:

• 8+ years of professional software development experience
• Strong programming proficiency: Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code
• System design: Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies
• Data engineering: Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing
• Database proficiency: Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization
• Software engineering depth: Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory
• API design: Experience designing clean, well-documented REST/gRPC APIs
• Incident response mindset: Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation
• Nice to Have:
  • Python mastery: Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations
  • Observability and distributed tracing: Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production
  • DevOps practices: Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform)
  • Programming language versatility: Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering
  • Team leadership and management: Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations
  • Message queues and streaming: Experience with Kafka, Redis, or similar event-driven architectures
  • Data orchestration: Exposure to Airflow or similar workflow orchestration frameworks
  • Frontend / full-stack awareness: Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards
  • Financial services or quantitative finance background
  • Open-source contributions or a public portfolio of technical work

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1