About this role.
This is a senior hands-on backend engineering role on a core platform team operating high-load, real-time distributed services. The engineer will build and optimize production services, with particular accountability for latency, availability, financial-transaction accuracy, and operational reliability. Key technical expectations include Node.js/TypeScript or another OOP language, Kafka, idempotent event processing, gRPC, relational and NoSQL databases, Kubernetes, and AWS or GCP. The role includes on-call ownership, incident response, architectural reviews, and direct collaboration with product and engineering stakeholders. It suits an autonomous engineer who enjoys daily coding and pragmatic systems improvement rather than people coordination.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would make the handler idempotent using a durable idempotency key or processed-event record, persist business changes and outgoing events through a transactional outbox where appropriate, and commit offsets only after the required durable work succeeds. I would also define retry, dead-letter, monitoring, and replay procedures so duplicate delivery and transient failures do not create duplicate financial effects.
I start with service-level metrics and traces to locate where latency is added, then examine saturation signals such as CPU, memory, garbage collection, connection pools, database query plans, downstream dependencies, queue lag, and network behavior. I compare the incident period with deployments and traffic changes, mitigate the immediate bottleneck, and follow up with capacity, indexing, caching, or architectural improvements.
A rebalance can revoke partitions from a consumer while work is still in progress, which can lead to reprocessing if offsets were not committed after successful handling. I design consumers to stop fetching, finish or safely abandon work during partition revocation, keep processing idempotent, control poll intervals and batch sizes, and monitor rebalance frequency to avoid instability.
I define resource requests and limits from observed workload behavior, configure health probes carefully, use autoscaling based on meaningful utilization or queue metrics, and make deployments observable and reversible. During debugging, I correlate pod events, logs, traces, application metrics, dependency health, and recent configuration changes before applying a controlled remediation.
I would first establish consistency, recovery-time, and recovery-point requirements, then choose replication and routing patterns that match them. The design should clearly define regional ownership, data replication behavior, idempotency and conflict handling, degraded-mode behavior, and tested failover runbooks. I would validate the approach through failure drills and monitoring that exposes regional health and replication lag.
About the Role
We’re looking for a Senior Backend Developer who thrives in a deeply hands-on environment and enjoys being close to the code on a daily basis. This role is heavily focused on building, optimising, and scaling backend services in a high-load system where performance and reliability are critical.
You’ll be working on complex, real-time challenges at the core of our platform – improving latency, ensuring high availability, and making systems more efficient at scale. This is not a coordination-heavy role; it’s for someone who enjoys writing production code, solving tough engineering problems, and seeing the direct impact of their work.
If you’re product-driven, take ownership, and prefer a “build first, improve fast” approach while working on systems where every millisecond matters – this role will feel like home.
Key Responsibilities
Work as part of a cross-functional team owning a core product within the platform
Design, build, and deliver new backend features end-to-end in a distributed environment
Write high-quality, production-level code daily, contributing directly to a high-load, scalable system
Take ownership of services handling financial transactions at scale, with a strong focus on reliability and accuracy
Proactively suggest and implement improvements in architecture, processes, and development practices
Participate in code and architectural reviews to maintain high engineering standards
Solve complex business and technical challenges with pragmatic, efficient solutions
Participating in on-call rotations within the squad to ensure the reliability and availability of our systems
Play an active role in ongoing tech transformation initiatives across the platform
Collaborate closely with engineers, product, and other stakeholders to deliver impactful solutions used by millions globally
Requirements
Solid experience with Node.js/TypeScript is ideal, but we also welcome experts in other OOP languages such as Java, Python, C++, C#, or Go
Strong understanding of asynchronous programming techniques
Deep production experience with Kafka: confident reasoning about consumer-group rebalances and their impact on in-flight processing, offset-commit strategies under retries and duplicate delivery, and the limits of “exactly-once” semantics
Experience designing idempotent, retry-safe handlers for at-least-once pipelines: transactional outbox, idempotency keys, and deduplication
Experience building services with gRPC or similar RPC frameworks
Strong knowledge of relational databases such as MySQL or PostgreSQL, plus production experience with at least one NoSQL technology at scale, such as DynamoDB, MongoDB, or Redis
Hands-on experience running services on Kubernetes and AWS/GCP: deployment, autoscaling, resource limits, and production debugging
Production operations experience: on-call ownership of a high-load system, including incident response, impact assessment, root-cause analysis, and post-incident improvements
Nice to Have
Experience with ClickHouse or other columnar/analytical databases
Experience with multi-region / failover architectures: data replication, regional isolation, and graceful degradation
Practical use of AI coding agents such as Cursor or Claude Code as part of daily development: effective prompting, reviewing, and validating AI-generated code
Understanding of application security and industry best practices
Gambling domain experience
What We Offer
Competitive Salary
Quarterly Bonuses
Unlimited Paid Time Off
Unlimited Paid Sick Leave
Remote & Flexible Working
Private Medical Insurance
Financial Support for Life Events
Professional Development Budget
International Exposure
Regular Company Events
*Benefits may vary depending on location and contractual agreement
Recruitment process
1. HR interview (30-45mins)
2. Interview with a Hiring Manager (45mins)
3. Technical interview with live coding (90mins)
4. Final Interview with C-level (60 mins)
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