Manhattan WMOS Engineer
ShyftLabs
Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
Ochish
ExTrac xavf va imkoniyatlarni aniqroq baholashga ehtiyojmand tashkilotlar uchun sohaga xos razvedka va tahlil yechimlarini ishlab chiqadi. Uning platformasi sinchiklab jamlangan real dunyo maʼlumotlarini, inson ekspertizasini hamda veb va mobil ilovalar, hisobot vositalari va integratsiyalarda ishlaydigan agentik sunʼiy intellekt asosidagi hamkor tahlilchini birlashtiradi. Mijozlar maʼlumotlarni o‘rganishi, ularni o‘z maʼlumotlari bilan birlashtirishi, vizualizatsiya va hisobotlar yaratishi hamda o‘z vaqtida qaror qabul qilish uchun ogohlantirishlar olishi mumkin. ExTrac mudofaa va xavfsizlik, moliyaviy xizmatlar, sug‘urta, korporativ xatarlar, huquqni muhofaza qilish va texnologik platformalar sohalaridagi vaziyatdan xabardorlik, muvofiqlik, erta ogohlantirish, kontent moderatsiyasi va operatsion razvedka kabi foydalanish holatlarini qo‘llab-quvvatlaydi. Kompaniyaning 11–50 kishilik jamoasi razvedka, tahlil, xavfsizlik va SaaS kesishmasida faoliyat yuritadi.
Senior Backend Software Engineer — London Hybrid
Build Go and Python services for ExTrac’s decision-intelligence platform in a senior backend engineering role. Own APIs, databases, streaming pipelines, and cloud infrastructure supporting high-stakes institutional decisions.
Tavsif
- Build and run backend microservices and data pipelines for ExTrac’s decision-intelligence platform
- Drive ambiguous work from requirements discovery and technical design through production release with limited supervision
- Take full ownership of services, including consolidating or retiring superseded systems
- Help shape and lead system architecture and design decisions
- Create APIs for internal users and customers with well-defined, versioned contracts
- Define storage schemas, indexing approaches, access patterns, and system boundaries
- Develop Go and Python microservices for collecting, processing, and querying data
- Uphold production expectations for latency, cost efficiency, reliability, and instrumentation
- Build and operate high-throughput streaming data pipelines
- Strengthen system scalability, resilience, and response times
- Tune databases and improve index performance
- Collaborate directly with analysts to turn product feedback into system improvements
- Work with AI and frontend teams to deliver cross-functional capabilities
- Enhance deployment workflows, service templates, observability, and engineering environments
- Complete a four-step interview process covering a hiring manager discussion, technical assessment, competency interview, and founder interview
Talablar
- Eligibility to obtain UK security clearance
- Citizenship of a NATO member state, Australia, or New Zealand
- At least four years of professional software engineering experience
- A track record of launching production-grade services and owning features through delivery
- Proficiency developing microservices in Go or Python
- Strong knowledge of distributed systems, databases, and software engineering patterns
- Experience with cloud infrastructure and infrastructure as code
- Experience building and maintaining CI/CD pipelines
- Strong communication and collaborative working skills
- Ability to produce clear technical documentation and discuss requirements with engineering and wider team colleagues
- Broad technical coverage spanning deployment pipelines, database behaviour, and security engineering
- Interest in how the product is used, with a willingness to incorporate analyst feedback into requirements discussions
- Current experience with Go-based microservices is desirable
- Experience with Elasticsearch and PostgreSQL is desirable
- Experience with streaming or event-driven pipelines is desirable
- Experience with feature flags and trunk-based development is desirable
- Experience operating multi-tenant systems with strict data-isolation requirements is desirable
- Experience developing software for defence, government, or compliance-constrained environments is desirable
Imtiyozlar
- Salary determined by skills and experience
- Private medical insurance
- Enhanced pension contributions
- Enhanced parental leave
- Workplace nursery scheme
- £500 annual education budget
- Conference expenses covered with manager approval
- 33 days of annual leave including bank holidays
- Flexible working arrangements
- The team typically works from the central London office two days per week, with the option to attend up to five days
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