Software Engineer (Backend)

Jackalope Digital LLC

Greater London

Hybrid

GBP 75,000 - 80,000

Full time

2 days ago

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Benefits offered by this job

Private Medical Health Insurance

Enhanced pension contributions

Parental leave

Nursery scheme

Education budget (£500/year)

33 days leave

Flexible remote work

Job summary

ExTrac AI in London seeks a Software Engineer to build and run backend microservices that power decision intelligence platforms. You’ll work on Go and Python services, APIs, and data pipelines, collaborating with AI, frontend, analysts, and product teams.

The role combines design, delivery, and production reliability in a fast‑moving environment. You’ll join a cross‑functional team in a hybrid setup with regular days in our central London office and up to 3 remote days per week.

Qualifications

2+ years of professional software engineering experience building and shipping production‑grade services
Proficiency in building microservices with Go or Python, with ability to pick up the other quickly
Practical understanding of software engineering patterns
Strong communication and collaboration skills, including documenting requirements and technical details
Interest across the stack: deployment pipelines, database behavior, and security engineering
Willingness to incorporate analyst feedback into requirements discussions

Responsibilities

Build and own features, components, and APIs end to end within a single system
Contribute to system design and architecture discussions as context grows
Develop Go and Python microservices for data collection, processing, and querying
Maintain production standards for latency, cost, and reliability with proper instrumentation
Operate high-throughput data streaming pipelines and optimize performance
Collaborate with analysts, product, and frontend teams to deliver cross‑functional features
Contribute to shared foundations like deployment pipelines, service templates, and observability

Skills

Python

Microservices

Communication

Deployment pipelines

Security

Tools

Elasticsearch

PostgreSQL

Cloud infrastructure

IaC

Job description

About ExTrac

ExTrac is a decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight.

Our ambition is to become the analytical backbone that organisations rely on when geopolitical uncertainty becomes an opportunity or a strategic risk. More at extrac.ai.

The Role

We are looking for a Software Engineer to join ExTrac's engineering team to help build and operate the services and pipelines the platform runs on.

ExTrac takes a continuously ingested, multi-source corpus and turns it into products analysts use to make decisions under time pressure. You will help build and run the backend microservices that make that possible: services and databases that expose curated data through APIs, run search and aggregation over large indices, hold application state, and keep the whole thing fast and correct as volume and customer count grow.

The work is broad by design. In a single quarter it spans API and service design, search and database performance, long-running data pipelines, cloud infrastructure, and the deployment tooling underneath all of it. You will own well-defined features and components end to end within a single system across a Go and Python codebase, working alongside the AI team who build our analytical and agentic features, the frontend team who build the web and mobile interfaces, and the analysts and product managers who define what gets built.

What the job involves

Service design and delivery

Build and own features, components, and APIs end to end within a single system, taking responsibility for your work and its place within the overall architecture.
Contribute to system design and architecture discussions, and take on more of the design work as you build context and scope.
Build and maintain APIs used by internal teams and customers, following established contracts and versioning conventions.

Production engineering

Develop Go and Python-based microservices to support data collection, processing, and querying, with guidance from senior engineers on more complex components.
Help hold services to production standards for latency, cost, and reliability, and build the instrumentation to know when they are not meeting them.
Build and operate high-throughput data streaming pipelines and work on improving scalability, robustness, and latency.
Help optimise databases and index performance where it is the constraint on product behaviour.

Working with analysts, product, and other engineering teams

Work directly with the analysts who use our products, turning what they hit in practice into changes in the system.
Iterate quickly against a live stream of product requests, flagging where they collide with longer-horizon platform work.
Partner with the AI and frontend teams to deliver cross-functional features, working through the engineering, performance, and reliability problems that sit outside of their scope.
Contribute to the shared foundations other engineers depend on: deployment pipelines, service templates, observability, and the environments their work runs in.

You should apply if

You have built and worked on production backend systems. You will spend your time working on Go and Python services, databases, and APIs, and you know the difference between something that works on a laptop and something that holds up under production load, latency, and cost.
You can work independently on well-defined problems, and know when to flag ambiguity or ask for input rather than guessing. When the obvious approach fails, you look for another one before escalating.
You are happy to take the initiative in order to complete a task, whether that means learning a new skill, reaching out to stakeholders to clarify requirements, or suggesting an alternate approach.
You treat quality, security, and observability as engineering fundamentals rather than optional extras, and you flag technical debt rather than letting it accumulate silently.
You actively seek feedback and act on it, and you look for opportunities to pair with and learn from the engineers around you.
You want to work on things that matter. Our software sits underneath decisions taken by governments, defence organisations, and institutions operating where being wrong or late carries real consequences.

Where this role can take you

Deepen your ownership. Strong performance means ownership over larger sections of the platform, more architectural say over how our services evolve, and more influence over which problems we take on.
Breadth rather than a narrow track. The work follows the problem, which means service design one month and pipeline or infrastructure work the next. Engineers here have the opportunity to build depth across several areas rather than being funnelled into one.
Progression based on impact. Progress by taking on bigger problems. What moves you to Senior here is the scope you can own end to end and the judgement you show when the answer isn't obvious, not time served.

Requirements

Due to the nature of our work and the clients we support, applicants must be eligible to obtain UK security clearance. We are currently only able to consider applicants who are nationals of a NATO member state, Australia, or New Zealand.

2+ years of professional software engineering experience, with demonstrated ability to build and ship production‑grade services, and experience owning features or components end to end within a larger system.
Proficiency in building microservices using Go or Python, with the ability to pick up the other quickly.
Practical understanding of software engineering patterns.
Strong communication and collaboration skills. Comfortable writing clear technical documentation and discussing requirements with colleagues from engineering and the wider team.
Interest across the stack: an interest in deployment pipelines, database behaviour, and security engineering.
An interest in how the product is actually used, and a willingness to take analyst feedback into requirements discussions rather than treating requirements as someone else's problem.

Desirable

Currently working with Go-based microservices.
Experience with Elasticsearch and/or PostgreSQL.
Experience with cloud infrastructure and infrastructure as code, and with the CI/CD pipelines around them.
Experience with streaming or event-driven pipelines.
Experience with feature flags and trunk-based development. Features land close to weekly, and individual deploys go out several times a day across several projects.
Experience working in software for defence, government, or other compliance-constrained environments.

Interview Process

Initial Intro Interview with Hiring Manager - 30 Minutes
Technical Assessment - 1 hour
Competency-based Interview - 1 hour
Founder interview - 30 Minutes

Benefits

Competitive salary based on skills and experience.
A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions.
Enhanced parental leave and a workplace nursery scheme.
£500/year education budget with more expensive items (like conferences) covered with manager approval.
33 days of leave across the year inclusive of bank holidays.
Flexible working, with the opportunity to spend up to 3 days a week remotely alongside regular days with our team in our central London office.

ExTrac AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

ExTrac AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing open role within our organisation. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position but all hiring decisions will be made by a member of our team.

Compensation: £75K – £80K