Highly Skilled Developer Needed

Revolutionize Payments

We are seeking a skilled and experienced Professional to join our team in leading key technical projects, mentoring junior engineers, and collaborating directly with clients. As a Senior Software Engineer, you will design and scale our API-first platform in Python, automate end-to-end operational workflows, build reliable data/ETL pipelines, and ship secure services powering flows, dispute/chargeback handling, and analytics.

• Lead & mentor: Guide junior and mid-level engineers through design reviews, pairing, and actionable feedback. Work with leadership to align tech to expectations. Collaborate with teams across the organization.
• Architect & build APIs (API-first): Design, document, and operate RESTful services with clear models, versioning/deprecation, idempotency keys, pagination, consistent error taxonomies, and SLAs. Implement authentication/authorization (OAuth2/OIDC), API keys, mTLS where appropriate, rate limiting, and schema/contract governance. Publish dev-friendly docs, examples, Postman collections, and lightweight SDKs.
• Payments & chargebacks: Integrate with gateways/acquirers and network APIs; model the disputes lifecycle. Build reporting with strong auditing.
• Device intelligence & fraud defenses: Design and integrate device fingerprinting and bot-mitigation strategies with privacy-respecting controls and consent. Feed signals into risk scoring, enforce step-up challenges, and close the loop via feedback from chargeback outcomes to continuously reduce false positives.
• Process automation: Automate repetitive, error-prone steps across disputes and ops: evidence packet assembly, data collection from internal/external systems, reconciliation runs, SLA timers/notifications, and compliance checks. Use workflow orchestration and event-driven patterns to implement retries, compensations, and human-in-the-loop approvals.
• Python services at scale: Build robust backends using modern Python (typing, OOP, asyncio/multiprocessing, free-threading), performance profiling/tuning, and safe concurrency patterns.
• Data & ETL/ELT pipelines: Design, operate, and optimize high-volume pipelines (batch/streaming) with validation, retries, backpressure, partitioning, incremental loads, and data contracts.
• Storage & modeling: Use SQLAlchemy with relational databases (MySQL/PostgreSQL/etc.). Work with ClickHouse; apply lake/lakehouse patterns (S3 + Parquet) for analytics at scale.
• Cloud & platform: Build, deploy, and operate services on AWS (e.g., EKS/ECS, Lambda, S3, RDS, Redshift, Kinesis/SNS/SQS, API Gateway/IAM). Containerize with Docker and orchestrate with Kubernetes.
• Quality & reliability: Own CI/CD (e.g., GitHub Actions); implement unit/integration/contract tests; enable observability with structured logs, metrics, and traces; support canary/blue-green deploys and runbooks.
• Security & compliance: Apply secure coding, secret management, least-privilege IAM, and auditable changes; design with PCI DSS considerations.
• Client collaboration: Meet with clients to gather requirements, present designs, explain trade-offs, and provide technical guidance in clear, native/fluent English.
• Access control: Implement multi-level user/role management (RBAC/ABAC) and end-to-end auditability.

Required Qualifications:

• English: Native/fluent; comfortable leading client calls, workshops, and written communication.
• Python expertise: Advanced proficiency with modern Python (3.x; 3.12+ preferred), OOP/design patterns, typing/mypy, async I/O and multiprocessing, performance profiling, packaging, and testing.
• API engineering: Proven experience designing, building, documenting, and operating RESTful APIs at scale (versioning, pagination, idempotency, security best practices, webhooks).
• Fintech domain: Hands-on with payments processing, chargebacks/disputes, reconciliation/settlement, and payment network/vendor integrations.
• Device fingerprinting & bot detection: Practical experience integrating device intelligence and behavioral analytics for risk decisions, with privacy/regulatory awareness.
• Automation & workflows: Track record automating operational processes using orchestration/workflow tools and event-driven systems; human-in-the-loop patterns where needed.
• Data platforms: Strong SQL with SQLAlchemy; production experience with MySQL/PostgreSQL and ClickHouse or similar columnar engines; familiarity with data lake/lakehouse architectures.
• Pipelines: Building ETL/ELT with Airflow/Prefect/Dagster; understanding batch vs. streaming, data contracts, and schema evolution.
• Cloud & DevOps: AWS proficiency; Docker/Kubernetes; CI/CD with GitHub Actions (or similar); solid observability practices (logs/metrics/traces).
• Breadth of languages: Comfort beyond Python with both high-level and low-level languages, e.g., two or more among Go, Rust, Java, C/C++.
• Systems fundamentals: Networking/HTTP/TLS, concurrency, memory/CPU profiling, filesystems, and distributed systems basics.

Nice to Have:

• Risk/fraud systems (rules, features, model serving), KYC/AML, and compliance (PCI DSS, SOC 2).
• Messaging/streams: Kafka, Kinesis, SQS/SNS; patterns like outbox, sagas/compensations.
• Infrastructure as Code (Terraform or CloudFormation).
• Data quality tooling (e.g., Great Expectations) and governance practices.
• Workflow engines for long-running, durable business processes.
• Python web frameworks experience (e.g., FastAPI, Django/DRF, Flask).
• Deep exposure to popular product management software.

How to Apply:

Please send your resume in English and links to relevant APIs, docs, or code samples that showcase your skills.