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ExTrac
ExTrac
11 – 50 Darbuotojai
ĮmonėSaaSSaugumas
„ExTrac“ kuria konkrečiai sričiai skirtą žvalgybinę informaciją ir analizę organizacijoms, kurioms reikia aiškesnio rizikos ir galimybių vertinimo. Jos platforma interneto ir mobiliosiose programėlėse, ataskaitų rengimo įrankiuose bei integracijose sujungia atrinktus realaus pasaulio duomenis, žmogaus ekspertines žinias ir agentinį dirbtinio intelekto „Co-Analyst“. Klientai gali tirti informaciją, derinti ją su savo duomenimis, kurti vizualizacijas ir ataskaitas bei gauti įspėjimus, padedančius laiku priimti sprendimus. „ExTrac“ pritaikoma gynybos ir saugumo, finansinių paslaugų, draudimo, įmonių rizikos, teisėsaugos ir technologijų platformų srityse, įskaitant situacijos suvokimą, atitiktį, išankstinį perspėjimą, turinio moderavimą ir operatyvinę žvalgybą. Įmonės 11–50 žmonių komanda dirba žvalgybos, analizės, saugumo ir SaaS sprendimų sankirtoje.
LinkedIn
Darbai įmonėje

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.

GBJungtinė KaralystėHibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųFull-stack inžinieriusPrograminės įrangos inžinierius
DebesijaElasticsearchGoMikropaslaugosPaskirstytosios sistemosPostgresPython

Aprašymas

  • 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  • Take full ownership of services, including consolidating or retiring superseded systems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

Reikalavimai

  • 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

Privalumai

  • 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

Susiję darbai

Ambush

Senior Machine Learning and AI Engineer

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BRBrazilijaNuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto inžinieriusMašininio mokymosi inžinierius
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201 – 500 Darbuotojai
Elektroninė prekybaFintechSaaS
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AWSAzureDjangoDockerKubernetesPythonRubyRuby on RailsTerraform

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AI Engineer, LLM Agents

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51 – 200 Darbuotojai
Debesų saugumasSaaSSaugumas
ILIzraelisHibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto inžinieriusMašininio mokymosi inžinierius
AWSAzureDebesijaGoogle Cloud PlatformKibernetinis saugumasKubernetesPython

Develop and deploy LLM agents for Upwind Security’s cloud security platform. Research, evaluate, and build autonomous workflows for investigating and remediating runtime threats.

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TEKsystems

Remote Data Program Project Manager — Washington

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ĮdarbinimasĮmonėKonsultavimas
USJungtinės ValstijosWAVašingtonas
65 $ – 75 $ / valanda
NuotolinisSutartisVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDuomenų mokslininkas

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Senior iOS Engineer, AI-First

OPENLANE
1 001 – 5 000 Darbuotojai
Automobilių pramonėB2BPrekyvietė
CAKanadaUSJungtinės Valstijos
125 000 $ – 165 000 $ / metai
NuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto inžinieriusMašininio mokymosi inžinierius
AndroidiOSSwift

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