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- Tasks: Lead the design and development of reliable systems for regulatory reporting.
- Company: Join a leading fintech company focused on innovation and compliance.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Hybrid work model with excellent mentorship and career advancement potential.
- Why this job: Make a real impact in a critical role while working with cutting-edge technology.
- Qualifications: Experience in backend engineering and a strong understanding of data systems required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Staff Software Engineer to play a critical technical leadership role within our Regulatory Reporting team. This role is responsible for designing, building, and operating highly reliable, auditable, and deterministic systems that support regulatory reporting across multiple jurisdictions. As a Staff Engineer, you will be a hands‑on technical leader, shaping architecture and standards across backend services and data‑intensive workflows, while partnering closely with the Engineering Manager, Compliance, and Data Engineering teams to ensure regulatory obligations are met with precision and confidence.
Key Responsibilities
- Technical Ownership & Architecture
- Act as a technical authority for the regulatory reporting platform
- Lead the design of backend services and data-intensive systems supporting regulatory submissions, report generation and validation, evidence, traceability, and audit workflows
- Drive architectural decisions that balance correctness, scalability, and operational reliability
- Ensure systems are deterministic, reproducible, and versioned to support audits and restatements
- Software Engineering
- Design and implement production-grade backend services using modern engineering practices
- Apply distributed systems principles including idempotency and safe retries, failure isolation and graceful degradation, schema and API versioning
- Build systems with clear SLAs, SLOs, and observability
- Maintain a strong security posture across services and data access
- Data-Intensive & Reporting Systems
- Work closely with data engineering teams on canonical data models, regime-specific reporting overlays
- Design software that integrates cleanly with analytical platforms and reporting datasets
- Backfills and historical restatements
- Late-arriving data and reconciliation logic
- Full lineage from source systems to reported figures
- Governance, Controls & Auditability
- Support regulatory audits, investigations, and remediation efforts
- Champion strong practices around access control, PII handling, and segregation of duties
- Technical Leadership & Mentorship
- Lead and participate in architecture and design reviews
- Mentor senior and mid-level engineers, raise the technical bar across the team
- Influence engineering standards without direct line management
- Partner closely with the Engineering Manager on technical strategy and execution
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
- Degree or equivalent Experience
- Proven operation at Staff Engineer (or equivalent) level in complex environments
- Experience building and owning mission-critical production systems
- Background in regulated industries such as fintech, payments, banking, or financial services
- Proven hands‑on experience in AWS
- Software Engineering Expertise
- Expert‑level backend engineering skills in one or more of Java, Python (or similar)
- Strong system design skills across API-driven architectures, Data-intensive services, Batch and event-driven workflows
- Deep understanding of reliability, observability, and operational excellence
- Data & Analytics Awareness
- Strong understanding of data modelling concepts such as canonical models and dimensional models
- Experience working alongside modern data platforms (e.g. Snowflake, BigQuery, Redshift)
- Ability to reason about Data lineage and traceability, Reconciliation and variance analysis, Backfills and historical corrections
- Platform & Operations
- Experience with CI/CD pipelines and Infrastructure as Code (IaC) such as Terraform
- Strong operational mindset
- On-call participation
- Experience with Incident response
- Experience with postmortems and continuous improvement
- Nice To Haves
- Prior experience building regulatory or statutory reporting platforms
- Exposure to near-real-time or API-based regulatory submissions
- Background in payments, settlement, treasury, or ledger systems
- Hands‑on experience with Claude Code, GitHub Copilot, or similar LLM-based engineering tools
- Experience designing AI-assisted developer workflows that improve productivity without compromising correctness or compliance
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Staff SW Engineer-1 employer: Tink
Contact Detail:
Tink Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff SW Engineer-1
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. This gives potential employers a taste of what you can do, especially for a Staff Software Engineer role.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. We recommend practicing common coding challenges and system design questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Staff SW Engineer-1
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Staff Software Engineer role. Highlight your experience in backend services, data-intensive systems, and any relevant regulatory environments to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of your technical leadership and how you've tackled challenges in regulated industries. We love a good story!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with AWS, CI/CD pipelines, and any programming languages you excel in, like Java or Python. We want to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Tink
✨Know Your Tech Inside Out
Make sure you’re well-versed in backend engineering, especially with Java or Python. Brush up on your knowledge of distributed systems principles and be ready to discuss how you've applied them in past projects.
✨Showcase Your Leadership Skills
As a Staff Engineer, you'll need to demonstrate your ability to lead technical discussions and mentor others. Prepare examples of how you've influenced engineering standards or led architecture reviews in previous roles.
✨Understand Regulatory Requirements
Familiarise yourself with the regulatory landscape relevant to the role. Be prepared to discuss how you've ensured compliance in past projects, particularly in regulated industries like fintech or banking.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in building production-grade systems and how you ensured reliability and observability in your solutions.