At a Glance
- Tasks: Build scalable backend systems for advanced AI and ensure API quality.
- Company: Join a fast-growing tech company with a focus on innovation.
- Benefits: Enjoy flexible hours, private healthcare, and 29 days holiday.
- Other info: Hybrid working model with opportunities for personal growth.
- Why this job: Make a real impact in AI while advancing your career rapidly.
- Qualifications: 5+ years in backend development with Python and event-driven architectures.
The predicted salary is between 70000 - 90000 £ per year.
My client is looking for a Senior Backend Engineer. Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.
What You Will Be Doing
You'll sit at the core of their product, building the systems that make advanced AI usable in the real world. If you enjoy owning backend services end to end, care deeply about reliability and API quality in a high-impact environment, this role offers both autonomy and real impact.
Requirements
- Backend Architecture & APIs (Primary Focus)
- Design and evolve scalable backend services in Python using FastAPI for high-availability, high-throughput workloads.
- Build well-versioned RESTful APIs aligned to OpenAPI/Swagger, with strong conventions for consistency, idempotency, and backward compatibility.
- Implement authentication and authorization using OAuth2/OIDC, session management, and fine-grained permissions.
- Design and maintain event-driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault-tolerant integrations.
- Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale.
- Introduce caching, rate limiting, and queuing to meet performance budgets and latency goals.
- Integrate with AI pipelines and model-serving endpoints, including streaming responses, async inference jobs, and robust error/retry semantics.
- Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows.
- Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure data exchange across the platform.
- Write secure, well-tested code (unit, integration, end-to-end) and uphold coding standards through code reviews.
- Contribute to logging, metrics, and alerting (Prometheus/Grafana, ELK/OpenSearch) for the services you build.
- Support compliance readiness (ISO 27001, GDPR) through secure-by-default design.
- Collaborate closely with the engineering team, product and leadership to scope, sequence, and deliver outcomes.
- Translate product requirements into technical plans, breaking work into milestones with measurable success criteria.
- Mentor engineers on backend design and API ergonomics.
- Ship services via Docker containers with clean, minimal builds.
- Contribute to IaC (Terraform/CloudFormation) and CI/CD pipelines (GitHub Actions/Argo CD) alongside the DevOps team.
- Support cloud operations with sensible defaults, cost awareness, and environment promotion across dev/staging/prod.
Required Skills & Experience
- SC Clearance or the ability to obtain SC (and later DV).
- 5+ years of professional software engineering experience, with a strong focus on backend development in Python and with event-driven architectures.
- Hands-on experience with Palantir Foundry, including working with Foundry APIs, data pipelines, ontologies, or Foundry-based application development.
- Proven experience designing and operating production REST APIs with OpenAPI/Swagger.
- Deep understanding of relational database design, indexing, performance tuning, and migrations (PostgreSQL).
- Proficiency with containerisation (Docker) and Git-based workflows.
- Experience with API versioning, security, documentation strategies, and automated testing.
- Strong problem-solving skills and the ability to work independently with high ownership.
Soft Skills
- High-agency engineer who owns outcomes end to end.
- Pragmatic, research-driven approach with a bias to ship and iterate.
- Clear communicator who can talk to stakeholders of varying technical backgrounds.
- Comfortable defining SLAs, making trade-offs explicit, and operating production systems.
Benefits include:
- Rapid career progression and personal growth.
- Flexible working hours.
- Opportunity to shape the future of a fast-growing business.
- Hybrid working model.
- Company pension (NEST) with 4% employer contribution.
- Private Healthcare.
- 29 days holiday + public holidays.
Senior Backend Engineer in Upton employer: MarkIT Placements
Contact Detail:
MarkIT Placements Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer in Upton
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with backend systems or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a personal project or contribute to open-source software that showcases your backend expertise in Python and API design. This not only builds your portfolio but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of event-driven architectures and RESTful APIs. Practice coding challenges that focus on backend development to ensure you're ready to impress when it counts.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with the role and our mission.
We think you need these skills to ace Senior Backend Engineer in Upton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Backend Engineer role. Highlight your experience with Python, FastAPI, and any relevant backend architecture you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed scalable backend services or built RESTful APIs. If you've worked with event-driven architectures or integrated AI pipelines, let us know! Real-world examples help us understand your impact.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication that gets to the heart of your experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at MarkIT Placements
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and the other technologies mentioned in the job description. Brush up on your knowledge of RESTful APIs, OAuth2, and event-driven architectures. Being able to discuss these topics confidently will show that you’re a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to backend development. Think about how you approached these problems, the solutions you implemented, and the outcomes. This will demonstrate your ability to own outcomes end to end.
✨Understand the Company’s Vision
Research the company and its products thoroughly. Understand how they leverage AI and what their goals are. This will help you align your answers with their mission and show that you’re genuinely interested in contributing to their success.
✨Prepare Questions for Them
Have a few insightful questions ready to ask at the end of the interview. This could be about their tech stack, team dynamics, or future projects. It shows that you’re engaged and thinking critically about how you can fit into their team.