Jobs at Djinni

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client

Our client is developing technology to make industrial environments safer and reduce the risk of accidents through proactive monitoring.

The Ukrainian engineering team is building a next-generation industrial safety platform combining Computer Vision, Machine Learning and IoT.

About the role

We are looking for a Middle Systems / Software Engineer to work on the performance-critical core of a real-time Computer Vision platform.

This is not a typical Python Backend role. The main challenge is building and optimising the systems underneath the CV/ML engines — where performance depends on memory, processes, concurrency, data movement, CPU/GPU utilisation and low latency.

You will work on the runtime that executes CV pipelines as a graph of processing stages, with latency measured in milliseconds. You will deal with shared memory, zero-copy data transfer, inter-process communication and process orchestration.

What matters most to us

We are open to engineers coming from C++, Python, Go or similar backgrounds.

The programming language itself is not the main selection criterion. What matters much more is a strong systems engineering mindset and experience understanding what is happening inside a system.

For example, we are particularly interested in engineers who have worked with problems such as:

• reducing unnecessary memory copies;
• optimising CPU/GPU utilisation;
• investigating latency spikes and performance bottlenecks;
• working with processes, threads and concurrency;
• debugging race conditions and difficult low-level issues;
• profiling applications and identifying bottlenecks;
• designing efficient data-processing pipelines;
• working with large amounts of data moving through several processing stages;

• optimising algorithms or runtimes for performance.

   

A candidate does not necessarily need to have worked with exactly the same technologies before.

For example, experience with CUDA, C++, GPU optimisation, real-time processing, robotics, computer vision, video pipelines, scientific computing or other performance-sensitive systems can be highly relevant.

What you’ll work on

• Collaborate with CV/ML engineers to turn model inference code into reliable production pipeline stages.
• Develop and optimise the core Pipeline Engine — an in-process, real-time runtime executing the CV pipeline as a graph of stages.
• Work with zero-copy shared-memory pools for passing frames between processes.
• Develop and optimise low-latency ZeroMQ communication for control messages, metadata and synchronisation.
• Work with pipeline metadata and serialisation boundaries.
• Analyse and improve CPU, memory and latency performance.
• Profile, debug and troubleshoot complex runtime issues.

• Contribute to the architecture and evolution of the real-time processing infrastructure.

   

Requirements

Must-have

• Commercial experience as a Software Engineer / Systems Engineer / C++ Engineer / Python Engineer or similar.
• Strong systems engineering mindset and understanding of:
  • processes and concurrency;
  • memory ownership and data movement;
  • latency vs throughput trade-offs;
  • performance bottlenecks;
  • profiling and debugging;
  • failure modes of complex systems.
• Experience working with performance-sensitive or latency-sensitive systems.
• Experience with at least one of C++, Python, Go or a similar programming language.
• Python is used in the platform, but it does not need to be your primary language. Strong C++ / systems experience is equally relevant.
• Solid Linux fundamentals.

• Solid experience with Docker and containerised environments.

   

Nice-to-have

• CUDA, including IPC handles and stream synchronisation.
• C/C++ or Go.
• OpenCV.
• GStreamer, FFmpeg or RTSP.
• ZeroMQ.
• Shared memory / zero-copy architectures.
• FlatBuffers or other binary serialisation formats.
• Experience building or operating camera/video pipelines.

What we offer

• Competitive compensation.
• Benefits package.
• Strong engineering team.
• Opportunity to work on challenging real-time Computer Vision infrastructure.
• Meaningful industrial safety use case.
• Technical challenges and opportunities for professional growth.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client

Our client is developing technology to make industrial environments safer and reduce the risk of accidents through proactive monitoring.

The Ukrainian engineering team is building a next-generation industrial safety platform combining Computer Vision, Machine Learning and IoT.

About the role

We are looking for a Middle Systems / Software Engineer to work on the performance-critical core of a real-time Computer Vision platform.

This is not a typical Python Backend role. The main challenge is building and optimising the systems underneath the CV/ML engines — where performance depends on memory, processes, concurrency, data movement, CPU/GPU utilisation and low latency.

You will work on the runtime that executes CV pipelines as a graph of processing stages, with latency measured in milliseconds. You will deal with shared memory, zero-copy data transfer, inter-process communication and process orchestration.

What matters most to us

We are open to engineers coming from C++, Python, Go or similar backgrounds.

The programming language itself is not the main selection criterion. What matters much more is a strong systems engineering mindset and experience understanding what is happening inside a system.

For example, we are particularly interested in engineers who have worked with problems such as:

• reducing unnecessary memory copies;
• optimising CPU/GPU utilisation;
• investigating latency spikes and performance bottlenecks;
• working with processes, threads and concurrency;
• debugging race conditions and difficult low-level issues;
• profiling applications and identifying bottlenecks;
• designing efficient data-processing pipelines;
• working with large amounts of data moving through several processing stages;

• optimising algorithms or runtimes for performance.

   

A candidate does not necessarily need to have worked with exactly the same technologies before.

For example, experience with CUDA, C++, GPU optimisation, real-time processing, robotics, computer vision, video pipelines, scientific computing or other performance-sensitive systems can be highly relevant.

What you’ll work on

• Collaborate with CV/ML engineers to turn model inference code into reliable production pipeline stages.
• Develop and optimise the core Pipeline Engine — an in-process, real-time runtime executing the CV pipeline as a graph of stages.
• Work with zero-copy shared-memory pools for passing frames between processes.
• Develop and optimise low-latency ZeroMQ communication for control messages, metadata and synchronisation.
• Work with pipeline metadata and serialisation boundaries.
• Analyse and improve CPU, memory and latency performance.
• Profile, debug and troubleshoot complex runtime issues.

• Contribute to the architecture and evolution of the real-time processing infrastructure.

   

Requirements

Must-have

• Commercial experience as a Software Engineer / Systems Engineer / C++ Engineer / Python Engineer or similar.
• Strong systems engineering mindset and understanding of:
  • processes and concurrency;
  • memory ownership and data movement;
  • latency vs throughput trade-offs;
  • performance bottlenecks;
  • profiling and debugging;
  • failure modes of complex systems.
• Experience working with performance-sensitive or latency-sensitive systems.
• Experience with at least one of C++, Python, Go or a similar programming language.
• Python is used in the platform, but it does not need to be your primary language. Strong C++ / systems experience is equally relevant.
• Solid Linux fundamentals.

• Solid experience with Docker and containerised environments.

   

Nice-to-have

• CUDA, including IPC handles and stream synchronisation.
• C/C++ or Go.
• OpenCV.
• GStreamer, FFmpeg or RTSP.
• ZeroMQ.
• Shared memory / zero-copy architectures.
• FlatBuffers or other binary serialisation formats.
• Experience building or operating camera/video pipelines.

What we offer

• Competitive compensation.
• Benefits package.
• Strong engineering team.
• Opportunity to work on challenging real-time Computer Vision infrastructure.
• Meaningful industrial safety use case.
• Technical challenges and opportunities for professional growth.

We are looking for a Prompt Spec Engineer who will define how our AI systems communicate, reason, and deliver high-quality outputs across products powered by LLMs.
 

You will be responsible for designing prompt/spec architectures, building evaluation systems, and ensuring that AI responses are consistent, reliable, and production-ready across RAG systems, AI agents, and automation workflows.

What you will do:
 

• Design and evolve prompt/spec architecture for AI products, LLM services, RAG systems, and AI agents, defining prompt structures, model behavior rules, response formats, and quality criteria.
• Develop, optimize, and adapt prompts for different LLMs and use cases, considering output quality, context limitations, cost, and system stability.
• Build and maintain AI evaluation processes including test scenarios, golden datasets, regression testing, and A/B experiments for LLM performance measurement.
• Analyze AI outputs, identify root causes of issues (hallucinations, missing context, retrieval problems, incorrect or unsafe responses), and define improvements.
• Collaborate with AI Engineers and Product Managers to implement prompt solutions into production systems, RAG pipelines, AI agents, and automation workflows, translating business needs into technical specifications.
• Work with LLM evaluation and monitoring tools (such as PromptFoo, Langfuse, and similar solutions) to track metrics, prompt versions, response quality, and system performance.
• Create and maintain structured documentation: prompt specs, evaluation frameworks, usage guidelines, limitations, and best practices for safe and reliable AI behavior.

What we expect from you:
 

• 2+ years of experience in LLM-related roles such as Prompt Engineering, AI Product Operations, AI Evaluation, or similar.
• Hands-on experience designing and optimizing prompts for different LLMs with a strong understanding of model behavior, strengths, and limitations.
• Experience building prompt/spec systems including prompt structure design, behavior rules, response formatting, testing, and versioning.
• Strong experience in AI evaluation: test case design, output analysis, issue detection, and iterative improvement of model performance.
• Understanding of RAG systems, AI agents, structured outputs, tool calling, and principles of reliable LLM system design.
• Ability to collaborate with engineering and product teams, translate business requirements into AI specifications, and document solutions clearly and consistently.
• Upper-Intermediate (B2+) English 
   

What we offer

• Competitive compensation depending on experience
• Work on production-level AI systems (LLMs, RAG, AI agents, automation workflows)
• Office-based work in Lviv with the possibility of a hybrid schedule.
• Direct impact on AI product quality and system behavior
• Access to modern LLM tools and evaluation frameworks
• Professional growth in a fast-moving AI-focused environment
• Opportunity to shape prompt engineering standards inside the company
• Relocation support for candidates from other cities, including assistance with moving and adaptation in Lviv.

Job Description
Front-End Development

Strong commercial experience with React
Proficiency in TypeScript
Experience building applications using Next.js
Experience developing and documenting reusable UI components with Storybook
Ability to interpret and implement designs from Figma
Experience writing unit and component tests using Jest
Strong knowledge of modern HTML and CSS, including CSS custom properties, responsive design, Flexbox and CSS Grid
Understanding of accessibility, browser compatibility and front-end performance best practices
Back-End Development

Strong commercial experience with ASP.NET Core and C#
Experience designing and developing secure, maintainable REST APIs
Experience with Azure Functions and serverless application development
Knowledge of Azure API Management
Experience working with Microsoft SQL Server, including database design and query optimisation
Experience working with Azure Cosmos DB
Understanding of authentication, authorisation and API security, ideally Duende Identity Server
Job Responsibilities
Design, implement and unit test core application components running on Azure
Drive and participate in the functional design
Contribute to the review and analysis of business requirements and development of code reviews and technical designs/specifications
Participate in SCRUM

Department/Project Description
The client is a holding company that administers association football clubs including Manchester City F.C. As for the product, it is mancity.com website and all innfrastructure around. We are using Scrum. Technologies/Tools: - Back-end: C#, .Net; ASP.NET; ASP.NET Web API; Umbraco; MS SQL. - Front-end: HTML/CSS, Angular, WebPack. - Other: Jira, Git, Docker, MS Azure.

Requirements

• 2+ years of commercial experience with Python (Django, DRF, FastAPI)
• Strong knowledge of Python 3.8+
• Solid understanding of web technologies, REST APIs, and client-server communication
• Basic knowledge of React and understanding of frontend development principles
• Good knowledge of Docker and Docker Compose
• Basic understanding of deployment and CI/CD processes; experience with GitHub Actions or similar tools
• Confident Git skills, including reading and reviewing teammates code
• English – Intermediate level or higher (able to participate in technical discussions)

Responsibilities

• Develop and maintain backend applications using Python (FastAPI, Django, DRF)
• Design and implement new features and REST APIs based on business requirements
• Maintain, optimize, and improve the existing codebase for stability and performance
• Develop and maintain frontend features using React
• Participate in code reviews and contribute to improving code quality and development processes
• Assist with deployments, CI/CD pipelines, and basic DevOps tasks

Nice to Have

• Ability to work independently while actively participating in team discussions and brainstorming sessions
• Experience with AWS infrastructure and cloud services

Profisea is a boutique DevOps and Cloud company — AWS Premier Partner specializing in Cloud Architecture, DevOps, DevSecOps and FinOps.

We are looking for a Customer Success Specialist who will work closely with clients using the Uniskai platform, helping them get the most value from the product and ensuring a great customer experience.

This role is perfect for someone who enjoys communicating with people, solving problems, and learning about cloud technologies.

We are open to junior candidates and applicants without prior experience who are motivated to learn and grow in the cloud and DevOps environment.
 

What you will do:

Communicate regularly with clients using the Uniskai platform.

Check if clients are satisfied with the platform and help them use its features effectively.

Collect customer feedback about the product and user experience.

Help clients discover and use platform features and services.

Identify issues or improvement opportunities and share them with internal teams.

Coordinate technical support when needed.

Organize calls or meetings with DevOps or development teams if technical assistance is required.

Track client requests and ensure follow-up.

What we expect:

English — Fluent.

Strong communication skills and client-oriented mindset.

Good organizational skills and attention to detail.

Ability to work with multiple tasks.

Interest in technology, cloud or DevOps will be a plus.

Experience with SaaS platforms, customer support or project coordination will be a plus but not required.
 

What we offer:

Opportunity to be part of a growing company and to grow with us

Being at the forefront of the DevOps and Cloud services industry

Great compensation 

Professional working environment where you will be an essential member of our team

Dataforest is looking for a Business analyst to join our team. If you're looking for a challenging project and a friendly, supportive team, you've come to the right place to send your resume.

You'll be a great fit if you have:
- 2+ years of experience in system, functional, or business analysis;
- English: Advanced and higher;
- Practical experience with key business analysis techniques and requirement management tools;
- Understanding of SDLC and agile development processes;
- Knowledge of business process modeling;
- Proficiency in identifying and translating business needs into clearly defined requirements;
- Experience in drafting functional / business / system requirement specifications;
- Experience in working with stakeholders and requirements elicitation;
- Critical thinking and problem-solving skills;

- Ability to decompose complex requirements into manageable tasks;

- Understanding of web development concepts and technologies.
- Excellent interpersonal and communication skills.

- Practical experience using modern AI tools (ChatGPT, Claude, Copilot, etc.) to accelerate requirement generation, documentation, and analysis workflows.

Would be a plus:
- Experience in using SQL;
- Experience with integration projects.

What you'll do:
- Communicating with stakeholders to identify their needs and clarify requirements;
- Analyzing, validating, grooming and documenting requirements to the projects;
- Visualizing business processes and preparing data models for the software projects;
- Advising stakeholders on the common practices and possible product solutions;
- Performing competitor and market analysis, assisting in developing product ideas;
- Communicating project vision and coordinating development with engineering teams;
- Participating in presales and estimates.

We ensure your growth with:

- Opportunity to work with the high-skilled engineering team on challenging projects;

- Interesting projects with new technologies;

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Team building activities, corporate events.

About Project

It is a mobile accounting app for sole traders, freelancers and self-employed workers — income, expenses and tax handled from a phone in minutes rather than evenings.

Every year, hundreds of thousands of self-employed people type "can I claim my phone bill" into Google and land on something written by a content farm, out of date, or aimed at accountants rather than at them. Being the clearest, most accurate answer to those questions is one of the most durable growth assets this business can build — and it compounds while paid channels don't.

The job in one line

You own our written content: what we publish, why, whether it's accurate, and whether it brings us users.

What you'll do

- Own the content strategy and calendar. Build it around real search demand and real user questions, not topics that sound good. Publish to an agreed cadence (4–8 substantial pieces a month) across blog, guides, landing pages, email.
- Win high-intent search. Research and prioritise keywords around allowable expenses, Self Assessment, VAT, deadlines, sole trader vs limited company, and the specific trades and professions we serve. Own on-page SEO, internal linking, content refreshes and technical basics in partnership with Engineering / an SEO consultant. 
- Meet the accuracy bar this subject demands. Tax content is exactly what Google treats as "your money or your life" — it needs demonstrable expertise, named authors, review credits and current dates to rank at all, and it needs to be right regardless of ranking. Every piece touching tax rules, thresholds or figures goes through [our accountant / compliance sign-off] before publishing, and gets re-checked each [April] when rates change.
- Build the deadline content machine. 31 January Self Assessment, the 5 April year end, quarterly VAT/MTD deadlines and the April Budget changes are our peaks. The January content set is written, reviewed and live by November, not drafted in January.
- Own lifecycle and in-product copy. Onboarding emails, activation and re-engagement sequences, deadline reminders, release notes, app store listing copy, plus in-app microcopy in partnership with Product. Measured on activation and retention, not on open rates alone.
- Run the writers. Brief, commission and edit freelance writers and subject-matter contributors [budget: specify], and hold a consistent editorial standard and tone of voice across everything we publish.
- Set the tone of voice. Write and maintain the style guide — plain English, no jargon, no scaring people about HMRC, no condescension about money. Everyone else in the company writes to it.
- Supply the other channels. Turn each substantial piece into raw material for social and creator briefs, and maintain the guides, checklists and templates that Support and Sales send to users.
- Report honestly. Organic sessions and rankings, content-attributed sign-ups and paid conversions, email-to-activation rates, and which pieces earn their keep. Retire or rewrite what doesn't.

 What we're looking for

- 3+ years in content marketing or editorial for a B2C or SaaS product, with responsibility for results rather than output volume.
- Excellent native-standard written English, and the ability to make a dull technical subject genuinely clear. Portfolio of published work required.
- Practical SEO competence: keyword research, search intent, on-page optimisation, content refresh strategy, and comfort in GA4 / Search Console / Ahrefs / Semrush.
- Editing experience — you can improve someone else's draft and give feedback a freelancer will accept.
- Numerate, precise, and willing to check a figure rather than assume it. You'll be corrected by an accountant regularly and won't take it personally.
 

Nice to have

- Experience writing about UK tax, accounting, payroll or personal finance — or an AAT / bookkeeping background.
- You are or have been self-employed, freelance or a sole trader.
- Lifecycle email experience in a real tool (Braze / Customer.io / Klaviyo / Intercom).
- ASO / app store listing optimisation.
- Comfortable in a CMS and with light HTML; experience with a headless setup.
- Experience building a content operation from a standing start.

*Rapidum is an equal opportunities employer. We assess every application against the requirements above and nothing else.*
 

About Project

It is a mobile accounting app for sole traders, freelancers and self-employed workers — income, expenses and tax handled from a phone in minutes rather than evenings.

Nobody downloads an accounting app because they saw a banner ad. They download it because someone they already listen to said "this is what I use, and here's why my January was painless this year." Recommendation is how this category grows.

The job in one line

You build and run our creator programme: find the people our users already trust, strike deals that pay for themselves, and prove it in installs and paying subscribers.

What you'll do

- Build the roster. Find, pitch and sign creators whose audience is self-employed: freelancers and creatives, side-hustle and gig-economy channels, online sellers, tradespeople, small business and personal-finance creators, and accountant/bookkeeper creators. Target: 30+ active partners in year one, weighted toward mid- and micro-tier where trust and conversion are highest.
- Own the commercials. Negotiate flat fee, affiliate/revenue-share or hybrid deals, manage the creator budget line, and defend it with numbers rather than screenshots of view counts.
- Run the tracking properly. A unique code or deep link per creator, attributed through to install, sign-up and first paid subscription (AppsFlyer / Adjust / Branch or equivalent), with monthly payout reconciliation agreed with Finance.
- Own the numbers. Cost per install, cost per paying subscriber, code activation rate, 90-day retention of creator-sourced users, and blended payback period. Weekly reporting, and the discipline to end partnerships that don't convert — including ones with impressive audiences.
- Brief, don't script. Give creators the message, the proof points and the boundaries, then let them say it in their own words. Reject anything that reads like an ad script — this audience switches off instantly.
- Keep every claim safe. Every partnership disclosed to ASA CAP Code standards. Every statement a creator makes about tax, allowable expenses, refunds or deadlines checked against our accountant / compliance sign-off before it goes live, and corrected fast if it slips through. A creator giving wrong tax advice on our behalf is our problem, not theirs — you own preventing that.
- Amplify what works. Identify the best-performing creator content and put paid budget behind it with usage rights agreed up front ([TikTok Spark Ads / Meta partnership ads]), rather than commissioning new content every time.
- Plan around the calendar. 31 January Self Assessment, the 5 April year end and quarterly VAT/MTD deadlines are when this audience is actually thinking about tax. Creator slots for January are booked in October–November, not in January.
- Feed the business. Report back the objections, language and misconceptions you see in creator comments and DMs — it's the cheapest product and messaging research available.

 What we're looking for

- 3+ years running influencer or creator campaigns with commercial accountability — you've held a budget and been measured on installs, sign-ups or revenue, not reach.
- Hands-on experience with affiliate or referral tracking and creator payouts — you've built the tracking and reconciled the payments yourself, not just handed it to an agency.
- Real negotiation experience: you know what a creator is worth, what to walk away from, and how to structure a deal that shares risk.
- You understand the UK self-employed audience well enough to judge whether a creator's followers are actually our users, or just a large number.
- Written English clear and personable enough that creators reply to your first message.
- Accurate and cautious with claims about money and tax — you check before you approve.
 

Nice to have

- Fintech, accounting, tax or personal-finance product experience.
- Existing relationships with UK freelance, business or finance creators, or with talent agencies.
- Experience with app install attribution and mobile measurement specifically.
- Paid amplification of creator content (Spark Ads, whitelisting, usage rights).
- You are or have been self-employed or freelance yourself.
- Experience scaling a referral or affiliate programme.

*Rapidum is an equal opportunities employer. We assess every application against the requirements above and nothing else.*
 

Location: Remote (UK-based) 
 

About Project

It is a mobile accounting app built for people who never wanted to do accounting: sole traders, freelancers and self-employed workers who need their income, expenses and tax handled from their phone in minutes, not evenings.

Our users aren't finance professionals. When something doesn't add up, it's their own money and their own tax return on the line — so support isn't a cost centre here, it's the product. A calm, accurate answer within minutes is the difference between a user who renews and a one-star review.

The job in one line

You own the support function: every conversation a user has with us, the systems behind those conversations, and the numbers that prove it's working.

What you'll do

- Run the front line. Own in-app chat, email, app store reviews and social DMs. Target: first response under [1 working hour] in business hours, 90% of conversations resolved without escalation.
- Hit and defend the numbers. CSAT ≥ [4.5/5], contact rate per 100 active users trending down quarter on quarter, app store rating ≥ [4.5], median resolution time inside [4 hours]. Weekly reporting, no vanity metrics.
- Build the self-serve layer. Write and maintain the help centre, in-app guides and macros so that the [top 20] recurring questions stop becoming tickets at all. Deflection is the main lever once user numbers grow.
- Hold the advice boundary. You explain how the app works, what a figure means and where it came from — you do not give tax advice. You'll own the escalation path to our qualified accountant [/ partner practice] and the standard wording that keeps us on the right side of that line.
- Bridge to Engineering and Product. Reproduce and triage bugs properly (steps, device, app version, screenshots), escalate with severity that means something, chase to resolution and close the loop with the user. Bring Product a monthly digest of the top pain points with volumes attached — not anecdotes.
- Handle peak season. Late January Self Assessment, the 5 April year end and quarterly VAT/MTD deadlines produce spikes several times normal volume. You plan cover, prepare canned responses and staffing before they hit, not during.
- Protect user data. Verify identity before discussing an account, handle personal and financial data under UK GDPR, and escalate suspected data or security incidents immediately per our process.
- Rescue accounts. Spot users about to churn or asking for refunds, and turn what you can around. Report honestly on what you couldn't.
- Write the playbook. Document the process as you build it — SOPs, escalation matrix, tone-of-voice guide — so the next two support hires can be onboarded in days, not months. You'll hire and lead them within 12 months.

What we're looking for

- 3+ years in customer support for a consumer app or SaaS product, including at least 1 year owning metrics rather than just handling tickets.
- Hands-on with a support platform (Intercom, Zendesk, Crisp, Freshdesk or similar): macros, help centre, automations, reporting — you've configured it, not just typed into it.
- Numerate and comfortable around money: invoices, expenses, VAT, tax deadlines. You don't need to be an accountant, but you must not be nervous about numbers.
- Written English that is clear, warm and plain — you can explain a tax figure to someone in a van at 7am without jargon or condescension.
- Calm under pressure with upset users, and honest when we've got something wrong.
 

Nice to have

- Experience supporting a fintech, accounting, payroll or tax product.
- AAT / bookkeeping study, or practical experience with HMRC Self Assessment, MTD, VAT.
- Built a help centre or support function from scratch.
- Mobile-specific support experience: app store review management, release cycles, device-level debugging.
 

*Rapidum is an equal opportunities employer. We assess every application against the requirements above and nothing else.*
 

Location: Remote (UK-based) 
Job type: Full-time

Reports to Head of Marketing / CMO
About project: 

It is a mobile accounting app for sole traders, freelancers and self-employed workers — income, expenses and tax handled from a phone in minutes rather than evenings.

Our audience isn't looking for accounting software. They're looking for an answer to "can I claim this?" at 11pm in January. That's the moment we have to be present in, and social is where it happens.

The job in one line

You own our social channels end to end — strategy, content, production, community — and you're measured on app installs and paying users, not on follower count.

What you'll do

- Own the channels. Run TikTok, Instagram, YouTube Shorts, Facebook, LinkedIn, Threads/X — the mix is yours to argue for and prove. Publish consistently to an agreed cadence, 4–6 pieces per week minimum.
- *Make the content yourself. Script, shoot, edit and caption short vertical video (CapCut / Premiere), plus static and carousel formats (Canva / Figma). This is a hands-on role: we're not big enough for a production team, and briefing an agency for every post won't work.
- Turn tax into something watchable. Plain-English explainers, "expenses you're probably missing", deadline countdowns, myth-busting, before/after of a messy year of receipts. If it sounds like an accountant wrote it, it doesn't ship.
- Own the calendar around real dates. 31 January Self Assessment, the 5 April year end, quarterly VAT/MTD deadlines and April tax-change announcements are our biggest moments of the year. Plan and produce for them weeks ahead, not in the week itself.
- Run the community. Reply to comments and DMs in our voice, and know where the line is: product and content questions are yours, account and money problems get handed to Customer Support within 1 working hour with context attached. Never resolve someone's account issue in a public comment thread.
- Get facts right, and get them checked. Anything about tax, allowable expenses, deadlines or figures goes through our accountant / compliance sign-off before publishing. Any paid, gifted or affiliate content is disclosed to ASA CAP Code standards. We don't publish savings or refund figures we can't substantiate.
- Work with creators and users. Brief and manage micro-creator collaborations [if in scope], collect and repurpose UGC and reviews with permission, and build a pipeline of real user stories.
- Report on what matters. App installs and store-page conversions attributed to social, cost per install, saves and shares, sign-up-to-paid conversion from social traffic, comment sentiment. Follower growth is context, not a target. Weekly numbers, monthly what-worked-and-what-didn't.
- Feed the rest of the business. Comments and DMs are the cheapest research we have — report recurring questions, objections and feature requests to Product and Support.

What we're looking for

- 3+ years running social channels for a consumer brand, app or SaaS product, with commercial accountability — you've been measured on conversions or installs, not reach alone.
- You personally shoot and edit short vertical video to a publishable standard. Portfolio or channel links required.
- Native-standard written English with a genuine feel for tone: plain, warm, funny where appropriate, never patronising about money.
- Comfortable with numbers and with a subject where accuracy matters — you check before you post.
- Hands-on with analytics: platform insights plus GA4 / app attribution to connect posts to installs.
- Close enough to the UK market to understand the cultural references our audience uses.

Nice to have

- Fintech, accounting, tax, payroll or personal-finance content experience.
- You are or have been self-employed, freelance or a sole trader — you'd be your own target audience.
- Paid social experience (Meta / TikTok Ads Manager).
- Creator or influencer partnership experience.
- Community management in Facebook groups, Reddit or Discord.
- Scheduling and reporting tools (Later / Buffer / Metricool).

*Rapidum is an equal opportunities employer. We assess every application against the requirements above and nothing else.*
 

Location - Remote (UK-based) 
Reports to[CTO / Head of Engineering
 

About the Project:

It is a mobile accounting app for sole traders, freelancers and self-employed workers — income, expenses and tax handled from a phone in minutes rather than evenings.

Behind a simple app sits the complicated part: bank feeds that stop syncing, receipts that scan wrong, subscriptions that don't renew, a figure that's off by £40 and nobody can say why. That's your side of the house. When a user's tax number looks wrong, someone has to prove what actually happened — in the data, not in the conversation.

The job in one line

You are tier 2: everything customer support can't resolve stops with you, and everything Engineering shouldn't be interrupted by stops with you too.

What you'll do

- Own tier-2 escalations end to end. Take what front-line support can't close, investigate it properly and either fix it, work around it, or hand Engineering a ticket they can act on immediately. Target: [90%] of escalations resolved or reproduced within 1 working day.
- nvestigate in the data, not by guesswork. Read logs, trace requests, query the database (read-only SQL), check API responses and reconcile what the app displayed against what was actually recorded. Every escalation you pass on carries a clear reproduction path and evidence.
- Run bank feed and integration failures. Open Banking connections drop, banks change formats, tokens expire, third-party providers have outages. You own diagnosis, the vendor conversation, and the honest message to affected users.
- Triage mobile crashes and releases. Monitor crash and error reporting, spot regressions after a release before the reviews do, and verify fixes on real devices across iOS and Android versions.
- Own billing and store issues. Failed payments, App Store / Google Play subscription problems, duplicate charges, refunds, entitlement mismatches — resolve them and reconcile with Finance.
- Manage incidents. Be the person who declares one: assess impact, notify users and the team, keep the status page current, coordinate to resolution, then write the post-incident review with a root cause and actions that actually get done.
- Cut the ticket volume at source. Turn recurring escalations into permanent fixes: bug reports Engineering prioritises, product changes, internal diagnostic tooling, and written playbooks that let tier 1 handle the case themselves next time. Success looks like fewer escalations reaching you each quarter, not more.
- Handle deadline peaks. Late January Self Assessment, the 5 April year end and quarterly VAT/MTD deadlines turn every technical fault into an urgent one. Cover, monitoring and rollback plans get agreed before those windows, not during.
- Guard data and access. Verify identity before touching an account, work under UK GDPR with financial and personal data, keep production access to what your role requires, and escalate suspected security or data incidents immediately.

 What we're looking for

- 3+ years in technical support, application support or a tier-2/escalations role for a live software product — ideally consumer-facing.
- You can read a log, write a SQL SELECT, call an API endpoint with Postman / curl and inspect a JSON response without help.
- Practical experience with bug triage alongside an engineering team: severity, reproduction, prioritisation, verification.
- Experience with third-party integrations or API failures, and dealing directly with vendor support.
- Written English clear enough to explain a technical cause to a user in plain terms and to a developer in precise ones.
- Calm and methodical during outages — no panic, no guessing, no silence.
 

Nice to have

- Fintech, accounting, payroll or payments background — bank feeds, Open Banking, reconciliation, double entry.
- Mobile support experience: crash reporting, device fragmentation, store release cycles, RevenueCat or similar subscription tooling.
- Scripting for diagnostics or reporting (Python / SQL / Bash).
- Experience setting up monitoring, alerting or an internal admin/diagnostic tool.
- Any incident-management framework in practice, on-call rotations, blameless post-mortems).

What we offer

- £20 000 plus a bonus.
- A function you own and build, with the tooling budget and production access to do it properly.
- Remote  working with core hours 09:00–18:00 UK. On-call is limited to release windows and tax-deadline peaks, compensated at rate.
- Annual leave plus UK bank holidays, with peak-season cover agreed in advance.
- Direct line to Engineering — your bug reports go into the sprint, not into a backlog nobody reads.
- Tools and training funded, including certifications relevant to the role.

*Rapidum is an equal opportunities employer. We assess every application against the requirements above and nothing else.*
 

The Mission
Are you a cloud architect who finds beauty in a perfectly orchestrated pipeline? Do you believe that “manual” is a four-letter word? We are looking for a Senior SRE specialized in BI Ecosystems to join our mission-critical Infrastructure team.
In this role, you won’t just “maintain” systems; you will be the master weaver connecting our advanced Data Analytics tools with a rock-solid, automated GCP/AWS backbone. You will bridge the gap between traditional Business Intelligence and modern Cloud Engineering, ensuring our data flows are fast, our visualizations are seamless, and our infrastructure is invisible.

What You Will Do
1. Master the Orchestration (GCP & GKE)
You will take full ownership of our Google Kubernetes Engine (GKE) clusters. This isn’t just
about pods and services; you’ll manage advanced networking (VPC Service Controls, Shared VPC) and high-availability node configurations to ensure our data platforms never skip a beat.
2. Advance Data Architectures (Lakehouse)
You will design and support a unified Data Lakehouse architecture by integrating BigQuery and Cloud Storage. Your mission is to break down silos, ensuring that our raw data and analytical models coexist in a single, high-performance ecosystem. You will implement robust governance and security policies that ensure data quality and accessibility, providing a “single source of truth” that is both scalable and cost-effective
3. Evangelize Infrastructure as Code (IaC)
Our goal is 100% immutability. You will use Terraform to automate the entire lifecycle of our
GCP resources—from Compute Engine and Cloud Run to Cloud SQL—ensuring consistency
across Dev, Staging, and Production.
4. Empower DataViz Excellence
You will be the enabler for our Data Analysts. You’ll deploy, optimize, and scale Qlik Sense,
Tableau, or Similars environments on GCP, handling everything from SSO/IAM authentication to high-performance connectivity with our backend data sources.
5. Hybrid Cloud & Legacy Modernization
Complexity is our playground. You will manage critical AWS resources (EC2, S3) and ensure
seamless interoperability with GCP. Simultaneously, you will lead the charge in migrating legacy monolithic systems into modern, microservices-based architectures.
6. Data Engineering Collaboration
Working side-by-side with Data Engineers, you’ll help build and maintain robust pipelines using Cloud Dataflow, Cloud Composer (Airflow), and BigQuery. You ensure that the “plumbing” of our data world is leak-proof and high-performing.
7. Reliability, Security & FinOps
● CI/CD: Design sophisticated pipelines (GitLab CI/GitHub Actions) integrating DevSecOps best practices.
● Observability: Implement deep monitoring using Google Cloud Operations Suite and Grafana.
● FinOps: Be the guardian of our budget, identifying and eliminating cloud waste through
smart optimization.

Who You Are (Requirements)
● Cloud Expert: Proven experience managing complex environments in Google Cloud Platform (GCP) and AWS.
● Data Architect: Deep understanding of Data Lakehouse models and governance.
● Kubernetes Pro: Deep knowledge of GKE, including advanced networking and security policies.
● Terraform Ninja: Ability to write modular, scalable, and secure IaC.
● BI Infrastructure Savvy: Experience deploying and tuning enterprise visualization tools (Tableau, Qlik, or Power BI).
● Automation Mindset: Strong scripting skills (Python, Bash, or Go) and mastery of CI/CD engines.
● Data-Driven: Familiarity with Big Data tools like Airflow, BigQuery, and Dataflow.
● Security-First: Solid understanding of encryption, IAM roles, and network security standards.

Why Join Us?
● Impact: You are not a cog in the machine; you are building the machine.
● Tech Stack: Work with the latest tools in the Cloud and Data world (Lakehouse, GKE).
● Culture: We value technical excellence, proactive problem-solving, and a “fail fast, learn
faster” mentality.
● Growth: We invest in your certifications and continuous learning. Ready to redefine how BI meets SRE? If you are a builder who loves solving the puzzle of high-scale data infrastructure, we want to meet you.

Apply now and let’s build the future of data infrastructure together!

You will join a small, high-trust Cyber Security Engineering team responsible for strengthening the security posture of a modern, globally distributed technology environment.

This is a hands-on engineering role focused on application security, container security, and AI security. You will build automated security controls, guardrails, and real-time visibility that make the secure path the easiest path for engineering teams.

You’ll work closely with platform engineering, cloud infrastructure, identity, technology assurance, and security leadership teams. The role offers significant ownership and the opportunity to influence not only technical controls, but also security standards and governance decisions across the organization.

This is not a role focused on manually reviewing individual applications. You’ll be expected to build automated, scalable security solutions that enforce standards at the point of deployment and provide clear visibility into security risks across running environments.

What we’re looking for:

We need a technically strong security engineer who understands that security and developer experience should work together.

The ideal candidate:

• thinks in terms of automation, scalability, and enforceable controls rather than manual reviews;
• has strong hands-on experience with Kubernetes and container security;
• understands application security, software supply chain risks, and secure development practices;
• enjoys building security tooling, observability, and policy-as-code solutions;
• is actively using AI-assisted development tools in their own engineering workflow;
• has practical or growing experience with AI and LLM security;
• can communicate complex technical findings clearly to senior technical and security stakeholders;
• is comfortable working in a small, collaborative, high-trust environment;
• approaches security friction as an engineering problem to solve.

Responsibilities:

• Design and deploy automated security controls for Kubernetes and application deployments.
• Implement admission controllers, policy-as-code, and automated security scanning.
• Define and enforce container security standards, including image scanning, runtime baselines, and registry governance.
• Manage software supply chain security, including dependency scanning, SBOMs, build-time and runtime analysis.
• Build application security observability and dashboards that provide real-time visibility into deployed and running systems.
• Develop automated guardrails that enable teams to use AI coding tools securely without requiring manual security review for every use case.
• Own security configuration and controls for AI platforms, including access controls, data flows, hardening, and protection against prompt injection and data exfiltration.
• Assess security risks associated with AI tools, MCP connectors, APIs, and agentic systems.
• Define security and behavioural baselines for agentic execution environments.
• Collaborate with security and engineering teams on container runtime telemetry and monitoring.
• Work with identity and cloud security teams on workload access, service identity, and secrets management.
• Curate and automate internal security tooling with a focus on reliability, security, and operational efficiency.
• Contribute to security standards, technical controls, and governance decisions.
• Communicate security findings and recommendations to senior stakeholders.

Requirements:

• Proven hands-on experience with Kubernetes and container security.
• Experience with container image scanning, admission control, runtime protection, and policy-as-code.
• Experience building automated security controls that can scale across complex environments.
• Strong understanding of application security fundamentals, including OWASP Top 10 and secure software development practices.
• Experience with software supply chain security and dependency management.
• Experience building security visibility through instrumentation, runtime analysis, monitoring, or operational dashboards.
• Experience with CI/CD security and automated security checks.
• Active experience using AI-assisted development tools such as Claude Code, GitHub Copilot, or equivalent.
• Practical or growing knowledge of AI/LLM security, including prompt injection, data exfiltration, model/API security, or agentic system controls.
• Strong analytical and problem-solving skills.
• Ability to communicate complex technical security topics clearly and concisely to senior stakeholders.
• Advanced English.

Nice to have:

• Experience with security tools such as Aikido, CrowdStrike, Bold Security, Nightfall, Zscaler, or Lakera Guard.
• Experience with MCP (Model Context Protocol), agentic frameworks, or AI platform administration.
• Experience in private equity, FinTech, financial services, or other environments where protection of sensitive information is critical.
• Experience measuring and optimizing the operational cost of security controls.
• Experience working with local or open-source LLMs for automation and security use cases.
• Experience with Datadog or similar observability platforms.
• Experience with SBOM tooling and software composition analysis.
• Experience with cloud security and workload identity.
• Experience working with policy-as-code frameworks.

Tools you’ll work with:

Kubernetes, CI/CD platforms, SBOM tooling, Aikido, Claude Enterprise, Claude Code, MCP, CoWork, DTEX, Datadog, and policy-as-code frameworks.

About us:
We are a fast-growing product company seeking an experienced  Marketing Manager (part-time work) to lead marketing efforts for our mobile apps (iOS/Android). You will play a key role in shaping strategy, driving growth, and mentoring the team.

Responsibilities & Requirements:

• 3+ years of experience as a Marketing Manager in mobile products (iOS/Android).
• Strong understanding of the full mobile product development lifecycle.
• Develop and execute marketing strategies for mobile apps.
• Drive user acquisition, retention, and monetization.
• Plan and support new app launches, updates, and feature releases.
• Manage marketing budgets and optimize advertising campaigns.
• Analyze the market, competitors, campaign results, and key performance metrics.
• Run A/B tests and identify new growth opportunities.

• Collaborate with product, development, design, and analytics teams.

   

We offer:

• Part-time
• Competitive salary based on experience
• Paid sick leave and annual leave
• Fully remote work format
• Stable workload and long-term cooperation