Staff Backend Engineer: Take Profit Trader [Remote]
$150k - $190kjobgether
- Remote job
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Backend Engineer: Take Profit Trader based in United States.
This role offers the opportunity to design and scale critical backend systems powering a fast-growing trading platform.
You will work on high-performance distributed systems handling real-time trading data, alerts, and risk-sensitive workflows.
The position combines hands-on engineering with technical leadership, allowing you to shape architecture and engineering standards.
You will collaborate closely with cross-functional teams to build reliable, scalable, and innovative solutions.
This is an impactful opportunity for an experienced backend engineer passionate about complex systems and fintech technology.
You will help define the future of a platform where performance, reliability, and engineering excellence are essential.
Accountabilities:
As a Staff Backend Engineer, you will lead the development of highly scalable backend platforms while contributing to technical strategy and engineering excellence. You will design distributed systems, improve reliability, mentor engineers, and help build the infrastructure required to support real-time trading operations.
- Design and build low-latency notification platforms delivering real-time alerts, account updates, and critical information to users and internal systems.
- Develop and operate Kafka/MSK streaming pipelines that process live trading data from multiple sources.
- Create scalable event-driven architectures with durable messaging, replay capabilities, optimized partitioning, and high availability.
- Build stateful stream processing solutions supporting risk detection, fraud monitoring, and market integrity initiatives.
- Design and optimize PostgreSQL and time-series database architectures for operational and analytical workloads.
- Develop and maintain production-grade .NET Core APIs supporting trading, risk, and fraud-related applications.
- Establish reliability standards through monitoring, alerting, observability, and performance optimization practices.
- Drive architecture decisions, technical standards, and long-term platform strategy across engineering teams.
- Mentor senior engineers and contribute hands-on expertise to complex technical initiatives.
- Collaborate with engineering leadership and cross-functional teams to continuously improve platform capabilities.
Requirements:
The ideal candidate is a highly experienced backend engineer with deep expertise in distributed systems, real-time applications, and scalable infrastructure. You should combine strong technical skills with strategic thinking, ownership, and the ability to influence engineering direction.
- 10+ years of experience in backend engineering, distributed systems, or related software development roles.
- 3–4+ years of experience operating at a Staff Engineer, Principal Engineer, or equivalent technical leadership level.
- Proven experience designing and operating high-throughput, low-latency production systems.
- Strong hands-on experience developing backend services and APIs using .NET Core.
- Advanced knowledge of WebSockets or similar persistent connection technologies, including scaling and delivery guarantees.
- Deep experience with Kafka, MSK, or comparable streaming platforms, including topic design, partitioning, and consumer optimization.
- Experience building stateful stream processing applications using Kafka Streams, Flink, or similar technologies.
- Strong PostgreSQL expertise, including schema optimization, replication strategies, and performance tuning.
- Experience with time-series databases such as TimescaleDB, ClickHouse, InfluxDB, or similar platforms.
- Strong understanding of distributed systems concepts including consistency models, fault tolerance, idempotency, backpressure, and delivery guarantees.
- Experience in trading, fintech, financial services, payments, fraud detection, or risk-related systems is highly preferred.
- Familiarity with AWS streaming services, infrastructure as code, or trade surveillance systems is a plus.
- Excellent communication skills with the ability to align technical decisions across teams.
- A proactive, organized, and ownership-driven mindset with a passion for building reliable systems.
Benefits:
- Competitive annual salary range of $150,000 – $190,000 USD .
- End-of-year discretionary performance bonus of up to 20% of annual salary , based on individual and company performance.
- Fully remote position available across the United States.
- Medical insurance coverage.
- Wellness stipend.
- Paid time off.
- Company holidays.
- Opportunity to work on high-impact technology within a fast-growing environment.
- Ability to influence architecture, engineering practices, and platform strategy.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
$150k - $190k
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