software engineer

ai engineer

senior software engineer

platform engineer

lead software engineer

member of technical staff

Reflection

<div>
 
 Our Mission
 
 
 
 Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
 
 
 
 The Roles Mission
 
 
 
 Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems. You will design and optimize the core infrastructure behind frontier AI models &mdash; from reinforcement learning training loops and distributed GPU training to massive-scale data pipelines.
 
 
 Our systems train models across thousands of GPUs and process petabyte-scale datasets. We care deeply about numerical stability, throughput, and reproducibility.
 
 
 
 What This Team Does
 
 
 
 This team owns and evolves the core infrastructure behind our training systems.
 
 
 
 We Focus On
 
 
 
 <ul>
 <li>
 Reinforcement learning training infrastructure
 </li>
 <li>
 Distributed training and inference systems
 </li>
 <li>
 Experiment infrastructure and reproducibility
 </li>
 <li>
 Large-scale data pipelines
 
 
 </li>
 </ul>
 The goal is to build the engineering foundation that allows researchers to iterate quickly while training models at massive scale.
 
 
 
 About The Role
 
 
 
 You will architect and optimize the core training infrastructure that powers our models. This includes RL training loops, distributed GPU systems, and large-scale data pipelines.
 
 
 You will work closely with researchers to transform new ideas into reliable, scalable training systems.
 
 
 
 Responsibilities Include
 
 
 
 <ul>
 <li>
 Designing and optimizing large-scale training loops and data pipelines.
 </li>
 <li>
 Implementing state-of-the-art techniques and ensuring they are numerically stable and computationally efficient.
 </li>
 <li>
 Building internal tooling for launching, monitoring, and reproducing complex experiments.
 </li>
 <li>
 Diagnosing deep bottlenecks across the training stack (GPU memory issues, communication overhead, dataloader stalls).
 </li>
 <li>
 Translating research prototypes into reusable, production-grade infrastructure.
 
 
 </li>
 </ul>
 
 What You'll Work With
 
 
 
 
 Distributed Training
 
 
 
 <ul>
 <li>
 GPU parallelism (data, tensor, pipeline, expert)
 </li>
 <li>
 Large-scale distributed training infrastructure
 </li>
 <li>
 Communication optimization (NCCL, RDMA, GPU interconnects)
 </li>
 <li>
 FSDP / ZeRO and model sharding
 
 
 </li>
 </ul>
 Orchestration &amp; Runtime Systems
 
 
 <ul>
 <li>
 Ray, Kubernetes, Slurm
 </li>
 <li>
 Distributed runtimes and async systems
 </li>
 <li>
 Containerization and sandboxing
 
 
 </li>
 </ul>
 Frameworks
 
 
 <ul>
 <li>
 PyTorch
 </li>
 <li>
 JAX
 </li>
 <li>
 Megatron-style training stacks
 </li>
 <li>
 Triton / custom kernels
 
 
 </li>
 </ul>
 Data Infrastructure
 
 
 <ul>
 <li>
 Large-scale dataset curation pipelines
 </li>
 <li>
 Deduplication and filtering systems
 </li>
 <li>
 Tokenization and preprocessing
 </li>
 <li>
 Distributed data processing frameworks
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 You are a strong software engineer who speaks the language of machine learning.
 </li>
 <li>
 You may not have a PhD, but you know how to implement a research paper.
 </li>
 <li>
 You have deep experience in at least one of the following: Distributed Training &amp; Inference or Data Infrastructure
 </li>
 <li>
 You enjoy working at the boundary between:
 </li>
 <ul>
 <li>
 Machine learning algorithms
 </li>
 <li>
 Distributed systems
 </li>
 <li>
 High-performance computing
 </li>
 </ul>
 <li>
 You care deeply about performance, numerical stability, and reproducibility.
 </li>
 <li>
 You thrive in high-agency environments and enjoy solving hard technical problems.
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.
 
 
 We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
 
 
 <ul>
 <li>
 Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
 </li>
 <li>
 Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
 </li>
 <li>
 Health &amp; wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
 </li>
 <li>
 Meals: Lunch and dinner are provided in the office daily.
 </li>
 <li>
 Life &amp; family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
 </li>
 <li>
 Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
 </li>
 <li>
 Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
 </li>
 <li>
 Team building: We have regular off-sites, happy hours, and team celebrations.
 
 
 </li>
 </ul>
</div>

Member of Technical Staff - Research Software Engineer

Perplexity

<div>
 We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
 </li>
 <li>
 GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
 </li>
 <li>
 Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
 </li>
 <li>
 Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
 </li>
 <li>
 Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
 
 
 </li>
 </ul>
 
 Who We're Looking For
 
 
 
 <ul>
 <li>
 Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
 </li>
 <li>
 You understand modern LLM architectures and are able to bring them up reliably in a production environment.
 </li>
 <li>
 You've built and operated production distributed systems under real load - ideally performance-critical ones.
 </li>
 <li>
 Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
 </li>
 <li>
 You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
 </li>
 <li>
 Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
 
 
 </li>
 </ul>
 
 Nice-to-have
 
 
 
 <ul>
 <li>
 ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
 </li>
 <li>
 Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
 </li>
 <li>
 Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
 </li>
 <li>
 Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
 </li>
 <li>
 Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
 </li>
 <li>
 Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
 </li>
 <li>
 Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
 </li>
 <li>
 Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
 
 
 </li>
 </ul>
 Final offer amounts are determined by multiple factors including experience and expertise.
 
 
 
 Equity: In addition to the base salary, equity may be part of the total compensation package.
 
 
 
</div>

Member of Technical Staff (AI Inference Engineer)

<div>
 
 About Perplexity AI
 
 
 
 Perplexity is an AI-powered answer engine built to serve the world&rsquo;s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.
 
 
 
 About The Role
 
 
 
 The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers.
 
 
 As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own the roadmap and technical strategy for agent-driven cloud infrastructure management.
 </li>
 <li>
 Design and operate Perplexity&rsquo;s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads.
 </li>
 <li>
 Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions.
 </li>
 <li>
 Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails.
 </li>
 <li>
 Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks.
 </li>
 <li>
 Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers.
 </li>
 <li>
 Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity).
 </li>
 <li>
 Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups.
 </li>
 <li>
 Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds).
 </li>
 <li>
 Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints.
 </li>
 <li>
 Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling.
 </li>
 <li>
 Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes.
 </li>
 <li>
 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations.
 
 
 </li>
 </ul>
 If you&rsquo;re excited about this role, we encourage you to apply even if your experience doesn&rsquo;t match every qualification listed above.
 
 
</div>

Member of Technical Staff (Software Engineer, Cloud Infrastructure)

<div>
 Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption
 </li>
 <li>
 Formulate hypotheses and validate them by designing, running, and analyzing A/B tests
 </li>
 <li>
 Determine appropriate metrics and visualizations for tracking, and implement them in dashboards
 </li>
 <li>
 Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience working as a data analyst or in a related role
 </li>
 <li>
 Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments
 </li>
 <li>
 Strong Python skills (expected to write production-grade code)
 </li>
 <li>
 Proficiency with SQL
 </li>
 <li>
 Experience with Business Intelligence (BI) tools
 </li>
 <li>
 Deep knowledge of statistics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficiency with Apache Spark
 </li>
 <li>
 Experience with Databricks
 </li>
 <li>
 Experience with development of LLM-as-a-judge systems
 
 
 </li>
 </ul>
</div>

Member of Technical Staff (Product Data Scientist, Search Quality)

Metaview

<div><div><div><h2 class="jobSectionHeader">Location</h2>
London
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Hybrid
</div><div><h2 class="jobSectionHeader">Department</h2>
ProductEngineering
</div></div><div><div>Overview
</div><div><div>Coding was first. Recruiting is next &mdash; and we're building it.
We are an applied AI lab building end-to-end recruiting agents that feel like coworkers. Metaview helps organizations hire with radically more speed and precision. We automate toil and augment humans for teams like Brex, Affirm, Deel, ElevenLabs, and Airtable.
Founded by Siadhal Magos and Shahriar Tajbakhsh, who scaled Uber and Palantir, we have raised over $50M from top-tier investors. We are growing 5x year over year, our customers are raving fans of the product, and our story has been covered in Fortune, Forbes, TechCrunch, and The Times.
Now is the time to re-engineer how work gets done with AI at the core, and our toughest challenges still lie ahead. We are looking for people seeking the hardest, most fulfilling work of their lives.
We have one value: velocity.
 
Not motion for its own sake, but real progress. We ship every day, ship on Fridays, and skip the tickets, roadmaps, and design-doc theater. We barely write code by hand anymore: every engineer orchestrates a stack of agents, and we ship 8x what we did a year ago with the same small team. Process stays light, standards stay high, and feedback loops stay short.
What you'll build
 
Day to day, you'll work on:
<ul><li>new product experiences across the hiring workflow
</li><li>systems that turn conversational signal into structured actions and insights
</li><li>AI-assisted features that need to feel useful, transparent, and well-integrated into the product
</li><li>improvements to quality, speed, and reliability across both user-facing and agent-facing parts of the product
</li><li>product problems that cut across engineering, design, product, and go-to-market context
</li></ul>What you'll own
In your first 3-6 months, you should:
<ul><li>own and ship meaningful product areas from problem definition through rollout
</li><li>help shape how Metaview's AI products behave in real customer workflows
</li><li>identify and drive improvements that make the product faster, clearer, and more valuable
</li><li>contribute to the engineering bar across craft, execution, and product judgment
</li></ul>What we're after
We're hiring across all levels, but we are excited by people who:
<ul><li>have shipped product in fast-moving software environments
</li><li>are comfortable working across the stack, or moving outside their default lane when needed
</li><li>care deeply about users and can translate messy problems into clear product decisions
</li><li>combine technical strength with product sense and good judgment
</li><li>like ownership, ambiguity, and close collaboration across functions
</li><li>want to help build a category-defining product while the shape of the company is still being formed
</li></ul>What you bring
Helpful signals include experience with:
<ul><li>shipping products, workflow software, or AI-enabled products
</li><li>systems where frontend and backend decisions meaningfully shape each other
</li><li>building products used in consequential or trust-sensitive moments
</li><li>startup or scale-up environments where iteration speed and ownership are both high 
 
</li></ul>What you want to know
<ul><li>A small, sharp, in-person team in London. Best ideas win on merit, not ceremony. Want to know what it's actually like? Read our unfiltered Slack at metaview.ai/careers#slackbook.
</li><li>We pay in the top 10% of the market &mdash; salary and meaningful equity. Our process is fast and direct. It's not unusual to hear back the same day.
</li><li>We operate with a simplified leveling, early-career, mid-career, and staff and above. Your level sets your comp. No back-and-forth, no games. We track the market closely and adjust when it tells us to. Market refreshers, twice a year. We re-benchmark against the market two times a year and move comp up when it drifts &mdash; so &quot;top 10%&quot; stays true, not just true on your start date.
</li><li>Promotions and raises on a real cycle. We review level and scope roughly every six months. When your responsibilities grow, your comp follows. It's tied to a real change in the work rather than an automatic bump.
</li><li>Equity that's genuinely competitive. World-class equity option grants so we&rsquo;re all owners. We keep the structure simple: cash and equity.
</li><li>Visa sponsorship and immigration support. We sponsor work visas and handle the process with you, start to finish.
</li><li>Time off, unlimited. You should feel empowered to take as much time off as you need.</li></ul></div></div></div></div>

Member of Product Staff, Engineer (London)

COMMONWEALTH SECRETARIAT

<div>The Commonwealth Secretariat is seeking to appoint two Software Architect &ndash; Developers within the Debt Management Unit (DMU), part of the Economic Development, Trade and Investment Directorate (EDTI). EDTI works closely with Commonwealth member countries to strengthen economic resilience through trade and investment policy, digital connectivity, investment facilitation, and wider economic and sustainable development priorities. Its work includes technical assistance, advisory support, knowledge exchange and capacity building, delivered through in-house expertise and strategic partnerships.
The DMU delivers the Secretariat&rsquo;s debt management programme, providing member countries with an integrated package of support covering policy advice, capacity building and debt management systems. This includes strengthening institutional and legal frameworks, supporting the development and implementation of debt management strategies, and contributing to market development.
Through the Commonwealth Secretariat Debt Recording and Management System, Commonwealth Meridian, the Secretariat supports client countries to manage public debt effectively at central and state government levels, covering back, middle and front office functions. Commonwealth Meridian is currently deployed in more than 40 countries.
Reporting to the Adviser and Head &ndash; Debt Management Unit through the Adviser &amp; Team Leader (IT Systems), and working closely with business analysts, economists, debt specialists and IT professionals, the Software Architect &ndash; Developer will support the development and maintenance of Commonwealth Meridian. The role will contribute to the delivery of a high-quality product that responds to user needs, supports secure and effective software development, and provides technical support to clients when required.
Key responsibilities include:<ul><li>
Supporting and enhancing the ASP.NET MVC 4 web application.</li><li>
Developing and coding assigned modules or feature sets of the software.</li><li>
Participating in peer reviews of source code and other software artefacts.</li><li>
Carrying out unit testing and integration testing of new features or modifications to the software.</li><li>
Designing, developing and implementing secure solutions to protect Commonwealth Meridian against cyber threats, including compliance with relevant security frameworks and vulnerability assessments.</li><li>
Identifying and resolving bottlenecks, fixing bugs, and implementing new features.</li><li>
Contributing to the analysis of user needs and the development of technical specifications and software component designs.</li><li>
Supporting user queries when required, including helping to prioritise, diagnose and resolve support issues.</li></ul>
To be considered for this role, you will need a Master&rsquo;s and/or Bachelor&rsquo;s degree in Computer Science or a related software development discipline, with a substantial component relevant to computing. You will also need at least five years&rsquo; financial or business software development experience, including strong experience with Azure DevOps, version control systems and cloud technology. Experience using web-based application development using Microsoft .NET Framework, C#.NET and ASP.NET and familiarity with the Visual Studio development environment is also required.
A postgraduate qualification or professional certification in software architecture, cybersecurity or a related field would be an advantage. Exposure to Scrum and Agile software development processes, knowledge of financial management systems, and experience with public debt management systems or international financial institution environments would also be desirable.
The Commonwealth is a voluntary association of 56 member governments and provides guidance on policymaking, technical assistance and advisory services to Commonwealth member countries. We support governments to help achieve sustainable, inclusive and equitable development.
Please apply by submitting a CV and cover letter. Covering letters should be structured to address the key criteria required in the person specification, giving clear examples.
To join us, you must be a citizen of a Commonwealth country.
The Commonwealth is a voluntary association of 56 independent and equal countries.
It is home to 2.5 billion people, and includes both advanced economies and developing countries. 33 of our members are small states, including many island nations.
Our member governments have agreed to shared goals like development, democracy and peace. Our values and principles are expressed in the Commonwealth Charter.
The Commonwealth's roots go back to the British Empire. But today any country can join the modern Commonwealth. The last two countries to join the Commonwealth were Gabon and Togo in 2022.</div>

Software Architect – Developer (x2 posts)

<div>The Commonwealth Secretariat is seeking to appoint a Software Architect &ndash; QA Analyst within the Debt Management Unit (DMU), part of the Economic Development, Trade and Investment Directorate (EDTI). EDTI works closely with Commonwealth member countries to strengthen economic resilience through trade and investment policy, digital connectivity, investment facilitation, and wider economic and sustainable development priorities. Its work includes technical assistance, advisory support, knowledge exchange and capacity building, delivered through in-house expertise and strategic partnerships.
The DMU delivers the Secretariat&rsquo;s debt management programme, providing member countries with an integrated package of support covering policy advice, capacity building and debt management systems. This includes strengthening institutional and legal frameworks, supporting the development and implementation of debt management strategies, and contributing to market development.
Through the Commonwealth Secretariat Debt Recording and Management System, Commonwealth Meridian, the Secretariat supports client countries to manage public debt effectively at central and state government levels, covering back, middle and front office functions. Commonwealth Meridian is currently deployed in more than 40 countries.
Reporting to the Adviser and Head &ndash; Debt Management Unit through the Adviser &amp; Team Leader (IT Systems) and working closely with business analysts, economists, debt specialists and IT professionals, the Software Architect &ndash; QA Analyst will design, implement and continuously improve quality assurance strategies, testing processes, methodologies and automation frameworks for Commonwealth Meridian. The role will help identify and resolve defects, support the delivery of high-quality software, and may also involve providing technical support to clients and contributing to capacity-building activities.
Key responsibilities include:<ul><li>
Performing API testing using Postman, RestAssured, or similar tools to validate integrations.</li><li>
Designing and implementing test automation frameworks for UI, API, and performance testing.</li><li>
Managing the complete test cycle of software development from requirements testing to user acceptance and release testing.</li><li>
Planning testing across the software development lifecycle, including defining testing objectives and quality criteria, developing testing strategies, recommending appropriate testing approaches, and ensuring effective integration between testing and development activities.</li><li>
Making recommendations on appropriate testing tools to support the improvement and automation of DMU software testing activities.</li><li>
Supporting user queries when required, including helping to prioritise, diagnose and resolve support issues.</li></ul>
To be considered for this role, you will need a Master&rsquo;s and/or Bachelor&rsquo;s degree in Computer Science, software testing or a related discipline, with a substantial component relevant to computing. You will also need at least five years&rsquo; software testing experience, including experience of developing software automation scripts using .NET, NUnit and Selenium WebDriver, as well as quality assurance experience in a structured test environment. Candidates with experience in scripting unit-level test cases using C# in the Microsoft Visual Studio environment and who have an understanding of how AI and machine learning can be applied to public debt management quality assurance functions will have an added advantage.
The Commonwealth is a voluntary association of 56 member governments and provides guidance on policymaking, technical assistance and advisory services to Commonwealth member countries. We support governments to help achieve sustainable, inclusive and equitable development.
Please apply by submitting a CV and cover letter. Covering letters should be structured to address the key criteria required in the person specification, giving clear examples.
To join us, you must be a citizen of a Commonwealth country.
The Commonwealth is a voluntary association of 56 independent and equal countries.
It is home to 2.5 billion people, and includes both advanced economies and developing countries. 33 of our members are small states, including many island nations.
Our member governments have agreed to shared goals like development, democracy and peace. Our values and principles are expressed in the Commonwealth Charter.
The Commonwealth's roots go back to the British Empire. But today any country can join the modern Commonwealth. The last two countries to join the Commonwealth were Gabon and Togo in 2022.</div>

Software Architect – QA Analyst

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