The first few years of your engineering career shape how you think for the rest of it. We want juniors who are curious, who pick things up fast, and who take that early learning seriously. You'll join a squad working on real production code from day one, with senior engineers around you whose job includes growing you. AI is reshaping how all of us write software, and you'll learn that on the job, alongside the fundamentals. This is an IC role with a clear path forward, and we invest in that path. What you'll do Build foundational skills on real production work. Well defined tasks with senior engineers supervising. The work is small in scope but real, and your code ships and serves customers. Learn the craft deliberately. Code review feedback, pairing, documentation, tests. These are the fundamentals that compound, and we protect time for them. Use the tools well. Source control, your dev environment, CI, observability, and AI tooling, which we treat as part of the workflow. Try things and bring back what you find. Communicate clearly. Tell your team what you're working on, why, how it's going, and where you're stuck. Asking for help is part of the job. Improve the docs. Whenever something tripped you up, write the explanation that would have helped. The codebase improves, and so do you. The shape we're hiring for For juniors, we hire for shape more than experience. Curiosity. You're interested in how systems work, why decisions were made, and what you don't yet understand. Learning velocity. You pick things up fast from pairing, code review, docs, AI tools, and conversations. You don't wait for someone to teach you. Emerging ownership. You complete what you start, ask when stuck, and take responsibility for your share of the work. Clear communication. You say what's going well, what isn't, and what you need. Change disposition. You enjoy that the work is changing fast. That's part of the appeal. You might be a strong fit if You're at the start of your career: an internship, bootcamp, computer science degree, self taught with a portfolio, or early in your first role. You can write code in at least one mainstream language (Python, TypeScript, Java, Go). Not yet expertly, but clearly enough to do the job. You've used Git, written tests, and shipped something: a personal project, course work, or an internship. You're comfortable using AI tooling in your workflow, and you treat it as a way to learn faster rather than a shortcut to think less. You enjoy explaining what you've learned, even imperfectly, because that's how it sticks. You might be a less good fit if You're looking for a place that hands you fully specified tasks and expects nothing else. You'd rather not have feedback on your work, or you find pair programming uncomfortable on principle. You'd prefer to work alone with code and not interact much with people. You'd rather not use AI tooling, or you treat it as a workaround for learning the fundamentals rather than a way to learn them faster. You're looking for a fast track to management. This role is about technical growth. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi tenant SaaS platform with API first surfaces, where security, privacy, and compliance are first class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end to end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform, and we'll keep them well tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know any of these on day one. You should be ready to learn the ones you don't. Working for Opus 2 A real engineering role at a growing company where AI is in production and shapes how software gets built. Not a junior slot doing make work. Investment in your growth: protected coaching time on senior engineers' calendars, code review that grows you, and exposure to challenging problems matched to your level. A clear path forward, with someone whose job it is to help you get there. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.
06/07/2026
Full time
The first few years of your engineering career shape how you think for the rest of it. We want juniors who are curious, who pick things up fast, and who take that early learning seriously. You'll join a squad working on real production code from day one, with senior engineers around you whose job includes growing you. AI is reshaping how all of us write software, and you'll learn that on the job, alongside the fundamentals. This is an IC role with a clear path forward, and we invest in that path. What you'll do Build foundational skills on real production work. Well defined tasks with senior engineers supervising. The work is small in scope but real, and your code ships and serves customers. Learn the craft deliberately. Code review feedback, pairing, documentation, tests. These are the fundamentals that compound, and we protect time for them. Use the tools well. Source control, your dev environment, CI, observability, and AI tooling, which we treat as part of the workflow. Try things and bring back what you find. Communicate clearly. Tell your team what you're working on, why, how it's going, and where you're stuck. Asking for help is part of the job. Improve the docs. Whenever something tripped you up, write the explanation that would have helped. The codebase improves, and so do you. The shape we're hiring for For juniors, we hire for shape more than experience. Curiosity. You're interested in how systems work, why decisions were made, and what you don't yet understand. Learning velocity. You pick things up fast from pairing, code review, docs, AI tools, and conversations. You don't wait for someone to teach you. Emerging ownership. You complete what you start, ask when stuck, and take responsibility for your share of the work. Clear communication. You say what's going well, what isn't, and what you need. Change disposition. You enjoy that the work is changing fast. That's part of the appeal. You might be a strong fit if You're at the start of your career: an internship, bootcamp, computer science degree, self taught with a portfolio, or early in your first role. You can write code in at least one mainstream language (Python, TypeScript, Java, Go). Not yet expertly, but clearly enough to do the job. You've used Git, written tests, and shipped something: a personal project, course work, or an internship. You're comfortable using AI tooling in your workflow, and you treat it as a way to learn faster rather than a shortcut to think less. You enjoy explaining what you've learned, even imperfectly, because that's how it sticks. You might be a less good fit if You're looking for a place that hands you fully specified tasks and expects nothing else. You'd rather not have feedback on your work, or you find pair programming uncomfortable on principle. You'd prefer to work alone with code and not interact much with people. You'd rather not use AI tooling, or you treat it as a workaround for learning the fundamentals rather than a way to learn them faster. You're looking for a fast track to management. This role is about technical growth. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi tenant SaaS platform with API first surfaces, where security, privacy, and compliance are first class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end to end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform, and we'll keep them well tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know any of these on day one. You should be ready to learn the ones you don't. Working for Opus 2 A real engineering role at a growing company where AI is in production and shapes how software gets built. Not a junior slot doing make work. Investment in your growth: protected coaching time on senior engineers' calendars, code review that grows you, and exposure to challenging problems matched to your level. A clear path forward, with someone whose job it is to help you get there. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.
Opus 2 International in Edinburgh is looking for a Junior Engineer to join our team. You'll work on real production code, receiving mentorship from senior engineers to develop your skills in an evolving environment influenced by AI. Ideal candidates are curious, fast learners, and comfortable using AI tools, with a vested interest in technology. The role offers a structured path for personal growth while engaging in meaningful projects.
06/07/2026
Full time
Opus 2 International in Edinburgh is looking for a Junior Engineer to join our team. You'll work on real production code, receiving mentorship from senior engineers to develop your skills in an evolving environment influenced by AI. Ideal candidates are curious, fast learners, and comfortable using AI tools, with a vested interest in technology. The role offers a structured path for personal growth while engaging in meaningful projects.
You've found your footing. You can build features end-to-end with timely guidance, you're starting to see how the bigger systems fit together, and you're getting a feel for which technical choices will hold up. That's the moment we want you in. You'll join a squad doing real engineering on a platform that legal teams across the world rely on, and the AI shift in software is something you'll be living and shaping, not just reading about. You can grow toward Senior and beyond. Internal progression is the default at Opus 2, and we hire externally only when there's no internal alternative. What you'll do Deliver well-scoped features end-to-end. Small to mid-size pieces of work with timely guidance. You break down tasks, ship in slices, and see them land for users. Partner with Product and Design. Translate intent into pragmatic, well-scoped technical work. Ask the questions that surface tradeoffs early. Pull others up while you grow. Help juniors. Review their code well. The mentoring habit starts here, not at senior. Use AI tools well across the SDLC. Daily workflow, exploration, knowledge-sharing. Bring back what you find to the team. Improve the system. Documentation that was missing, a flaky test, observability you wish you'd had. You leave things better than you found them. The shape we're hiring for We're growing engineers toward a T shape: broad across the stack, with depth starting to form in at least one area. At this level, breadth comes first; depth begins to emerge. Generalist breadth across the team's stack. You're not blocked by "that's not my layer" when a feature spans frontend, API, data, and deployment. Depth starting to form. You're developing a stronger area, the one your colleagues come to you for. By the upper end of this band, that's noticeable. Ownership of the work you commit to. Outcomes, not just output. You finish what you start, and ambiguity is something you push through rather than something that stalls you. Pragmatism. You favour simple, testable solutions and ask for help when complexity gets ahead of you. Coaching the level below. You answer questions clearly. You give code review feedback that grows people rather than feedback that's just correct. Change disposition. You treat change in tools and ways of working as part of the job. You learn fast and bring it back to the team. You'll be a strong fit if You've shipped real production code and can tell the story of how it was used and how it failed. You're comfortable across the team's stack (backend, frontend, data, deployment) even if you have a stronger area. You're using AI tooling in your daily workflow and curious about where it fits in the product. You enjoy improving the work around you (code, docs, processes), not just adding to it. You've grown through code review and feedback, and you give it back generously. You might be a less good fit if You want fully specified tickets and nothing else. You're not interested in helping more junior engineers grow. You'd rather specialise narrowly and not stretch outside your comfort zone yet. You'd rather hold off on AI tooling until others have proven what works. At this level, adopting and shaping it is part of the day job. You find rapid change in tools and ways of working draining rather than energising. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi tenant SaaS platform with API first surfaces, where security, privacy, and compliance are first class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end to end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform and we'll keep them well tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know all of these on day one. You should be ready to learn what you don't. Working for Opus 2 Engineering work at a company where AI is real, in production, and a core part of how customers get value. Not a side of desk experiment. A focused engineering organisation where your work is visible, your decisions matter, and the path from idea to customer is short. Investment in your growth: coaching, learning time, exposure to challenging problems, and a clear path to Senior when you're ready. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.
06/07/2026
Full time
You've found your footing. You can build features end-to-end with timely guidance, you're starting to see how the bigger systems fit together, and you're getting a feel for which technical choices will hold up. That's the moment we want you in. You'll join a squad doing real engineering on a platform that legal teams across the world rely on, and the AI shift in software is something you'll be living and shaping, not just reading about. You can grow toward Senior and beyond. Internal progression is the default at Opus 2, and we hire externally only when there's no internal alternative. What you'll do Deliver well-scoped features end-to-end. Small to mid-size pieces of work with timely guidance. You break down tasks, ship in slices, and see them land for users. Partner with Product and Design. Translate intent into pragmatic, well-scoped technical work. Ask the questions that surface tradeoffs early. Pull others up while you grow. Help juniors. Review their code well. The mentoring habit starts here, not at senior. Use AI tools well across the SDLC. Daily workflow, exploration, knowledge-sharing. Bring back what you find to the team. Improve the system. Documentation that was missing, a flaky test, observability you wish you'd had. You leave things better than you found them. The shape we're hiring for We're growing engineers toward a T shape: broad across the stack, with depth starting to form in at least one area. At this level, breadth comes first; depth begins to emerge. Generalist breadth across the team's stack. You're not blocked by "that's not my layer" when a feature spans frontend, API, data, and deployment. Depth starting to form. You're developing a stronger area, the one your colleagues come to you for. By the upper end of this band, that's noticeable. Ownership of the work you commit to. Outcomes, not just output. You finish what you start, and ambiguity is something you push through rather than something that stalls you. Pragmatism. You favour simple, testable solutions and ask for help when complexity gets ahead of you. Coaching the level below. You answer questions clearly. You give code review feedback that grows people rather than feedback that's just correct. Change disposition. You treat change in tools and ways of working as part of the job. You learn fast and bring it back to the team. You'll be a strong fit if You've shipped real production code and can tell the story of how it was used and how it failed. You're comfortable across the team's stack (backend, frontend, data, deployment) even if you have a stronger area. You're using AI tooling in your daily workflow and curious about where it fits in the product. You enjoy improving the work around you (code, docs, processes), not just adding to it. You've grown through code review and feedback, and you give it back generously. You might be a less good fit if You want fully specified tickets and nothing else. You're not interested in helping more junior engineers grow. You'd rather specialise narrowly and not stretch outside your comfort zone yet. You'd rather hold off on AI tooling until others have proven what works. At this level, adopting and shaping it is part of the day job. You find rapid change in tools and ways of working draining rather than energising. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi tenant SaaS platform with API first surfaces, where security, privacy, and compliance are first class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end to end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform and we'll keep them well tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know all of these on day one. You should be ready to learn what you don't. Working for Opus 2 Engineering work at a company where AI is real, in production, and a core part of how customers get value. Not a side of desk experiment. A focused engineering organisation where your work is visible, your decisions matter, and the path from idea to customer is short. Investment in your growth: coaching, learning time, exposure to challenging problems, and a clear path to Senior when you're ready. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.
Opus 2 International, located in the City of Edinburgh, is looking for engineers to contribute to a distributed SaaS platform for legal teams globally. As part of a dynamic squad, you will deliver features, collaborate with product and design teams, and help mentor junior engineers. The role emphasizes continuous learning, ownership of outcomes, and adaption to a rapidly changing environment, with a particular focus on AI tooling. We invest in your growth through coaching, challenging problems, and a clear path to seniority. Enjoy benefits like health insurance, 33 days annual leave, a contributory pension plan, and flexible working arrangements.
06/07/2026
Full time
Opus 2 International, located in the City of Edinburgh, is looking for engineers to contribute to a distributed SaaS platform for legal teams globally. As part of a dynamic squad, you will deliver features, collaborate with product and design teams, and help mentor junior engineers. The role emphasizes continuous learning, ownership of outcomes, and adaption to a rapidly changing environment, with a particular focus on AI tooling. We invest in your growth through coaching, challenging problems, and a clear path to seniority. Enjoy benefits like health insurance, 33 days annual leave, a contributory pension plan, and flexible working arrangements.
Senior engineering at Opus 2 is hands-on, high-trust, and end-to-end. You'll lead complex, often ambiguous work from problem to production, raise the bar on the team around you, and help shape how we build software in a moment where AI is changing the work week to week. We're not looking for someone who'll watch that change from the sidelines. You can grow toward Staff or Principal from here. This is an IC role, and the day-to-day is engineering with influence, not management. What you'll be doing Lead complex, often ambiguous features and projects end-to-end. Discovery, breakdown, shipping in slices, and seeing it land for customers. Partner with Product and Design to translate user needs into pragmatic, well-scoped technical work. Call tradeoffs early. Keep the roadmap honest about what's feasible. Raise the bar on the team around you, and beyond. Thoughtful code review, pairing where it helps, mentoring mid-level and junior engineers. The kind of "shows the team what good looks like" presence that compounds over time and gets noticed across squads beyond your own. Own quality and operability. CI/CD, test automation, observability, post-incident learning. Part of the work, not someone else's job. Make architectural and tech-stack calls that hold up. Favour maintainable, scalable, simple solutions over clever ones, and design with operability and change in mind. Use AI to raise quality, speed, and productivity. You don't need to be an ML researcher, but you should be using AI tools well across the SDLC: in your own workflow, in product exploration, and in helping the squad adopt them safely. Help shape engineering strategy with Tech Leads and Engineering Managers. Architecture, scalability, how the team works, where we invest. The shape we're hiring for We're hiring T-shaped engineers: broad across the stack, deep in at least one area (backend, frontend, data, infra, AI/ML, or another domain where you can show real expertise). We care more about how you think than how many tools you've used. Depth in something. You can name a domain where you're the person colleagues come to. Breadth that lets you ship end-to-end. "That's not my layer" isn't in your vocabulary when a feature spans frontend, API, data, and deployment. Ownership that runs from idea to production and into how it operates. You're accountable for outcomes, not just output, and you don't drop work at the merge button. Steadiness under pressure. You're a stabilising presence when delivery is uncertain or the goal is moving: calm, structured, and clear about what's known. Coaching disposition. You explain things clearly, give review feedback that grows people, and lift the team's median rather than just its peak. You also receive feedback without defensiveness and treat it as fuel for visible growth. Change disposition. You treat the AI-driven shift in software as the job rather than disruption to it. You learn fast, change your mind when the evidence does, and help colleagues do the same. You'll be a strong fit if You've shipped, operated, and iterated on real software at meaningful scale. Not just built it, but lived with it. You're comfortable across the stack with at least one of: TypeScript, Python, Java, or Go. You've worked with cloud platforms (AWS preferred; transferable experience welcome) and understand the operational side of running services in production. You enjoy working with Product and Design as partners who shape what gets built, rather than as a service desk that hands you tickets. You're curious about AI tooling and product applications, and you want to help build a learning culture rather than wait for a training catalogue. You might be a less good fit if You want to specialise narrowly and not branch outside your home stack. You'd prefer fully-specified tickets you can implement without much conversation. You'd rather not spend time growing colleagues. At this level, that's a core part of seniority. You're sceptical of AI tooling on principle and would rather wait to see whether it settles before engaging. At this level we expect you to be helping the squad work out what good looks like. You find rapid change in tools and ways of working draining rather than energising. You're looking for a fast track to management. This role is about technical growth. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi-tenant SaaS platform with API-first surfaces, where security, privacy, and compliance are first-class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end-to-end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid-levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform and we'll keep them well-tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know all of these on day one. You should be ready to learn what you don't. Working for Opus 2 Senior engineering work at a company where AI is real, in production, and a core part of how customers get value. Not a side-of-desk experiment. A focused engineering organisation where your work is visible, your decisions matter, and the path from idea to customer is short. Investment in your growth: coaching, learning time, exposure to challenging problems, and a clear IC track if you want to keep deepening technically. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.
06/07/2026
Full time
Senior engineering at Opus 2 is hands-on, high-trust, and end-to-end. You'll lead complex, often ambiguous work from problem to production, raise the bar on the team around you, and help shape how we build software in a moment where AI is changing the work week to week. We're not looking for someone who'll watch that change from the sidelines. You can grow toward Staff or Principal from here. This is an IC role, and the day-to-day is engineering with influence, not management. What you'll be doing Lead complex, often ambiguous features and projects end-to-end. Discovery, breakdown, shipping in slices, and seeing it land for customers. Partner with Product and Design to translate user needs into pragmatic, well-scoped technical work. Call tradeoffs early. Keep the roadmap honest about what's feasible. Raise the bar on the team around you, and beyond. Thoughtful code review, pairing where it helps, mentoring mid-level and junior engineers. The kind of "shows the team what good looks like" presence that compounds over time and gets noticed across squads beyond your own. Own quality and operability. CI/CD, test automation, observability, post-incident learning. Part of the work, not someone else's job. Make architectural and tech-stack calls that hold up. Favour maintainable, scalable, simple solutions over clever ones, and design with operability and change in mind. Use AI to raise quality, speed, and productivity. You don't need to be an ML researcher, but you should be using AI tools well across the SDLC: in your own workflow, in product exploration, and in helping the squad adopt them safely. Help shape engineering strategy with Tech Leads and Engineering Managers. Architecture, scalability, how the team works, where we invest. The shape we're hiring for We're hiring T-shaped engineers: broad across the stack, deep in at least one area (backend, frontend, data, infra, AI/ML, or another domain where you can show real expertise). We care more about how you think than how many tools you've used. Depth in something. You can name a domain where you're the person colleagues come to. Breadth that lets you ship end-to-end. "That's not my layer" isn't in your vocabulary when a feature spans frontend, API, data, and deployment. Ownership that runs from idea to production and into how it operates. You're accountable for outcomes, not just output, and you don't drop work at the merge button. Steadiness under pressure. You're a stabilising presence when delivery is uncertain or the goal is moving: calm, structured, and clear about what's known. Coaching disposition. You explain things clearly, give review feedback that grows people, and lift the team's median rather than just its peak. You also receive feedback without defensiveness and treat it as fuel for visible growth. Change disposition. You treat the AI-driven shift in software as the job rather than disruption to it. You learn fast, change your mind when the evidence does, and help colleagues do the same. You'll be a strong fit if You've shipped, operated, and iterated on real software at meaningful scale. Not just built it, but lived with it. You're comfortable across the stack with at least one of: TypeScript, Python, Java, or Go. You've worked with cloud platforms (AWS preferred; transferable experience welcome) and understand the operational side of running services in production. You enjoy working with Product and Design as partners who shape what gets built, rather than as a service desk that hands you tickets. You're curious about AI tooling and product applications, and you want to help build a learning culture rather than wait for a training catalogue. You might be a less good fit if You want to specialise narrowly and not branch outside your home stack. You'd prefer fully-specified tickets you can implement without much conversation. You'd rather not spend time growing colleagues. At this level, that's a core part of seniority. You're sceptical of AI tooling on principle and would rather wait to see whether it settles before engaging. At this level we expect you to be helping the squad work out what good looks like. You find rapid change in tools and ways of working draining rather than energising. You're looking for a fast track to management. This role is about technical growth. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi-tenant SaaS platform with API-first surfaces, where security, privacy, and compliance are first-class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end-to-end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid-levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform and we'll keep them well-tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know all of these on day one. You should be ready to learn what you don't. Working for Opus 2 Senior engineering work at a company where AI is real, in production, and a core part of how customers get value. Not a side-of-desk experiment. A focused engineering organisation where your work is visible, your decisions matter, and the path from idea to customer is short. Investment in your growth: coaching, learning time, exposure to challenging problems, and a clear IC track if you want to keep deepening technically. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.
Opus 2 International in Edinburgh seeks a Senior Engineer to lead complex projects, partnering with Product and Design teams to deliver innovative software solutions using AI tools. In this hands-on role, you'll be integral to shaping how we build and improve our platform. Ideal candidates have extensive experience in end-to-end engineering, skilled in cloud platforms like AWS, and comfortable working with modern tech stacks such as Python, Go, and TypeScript. The position offers strong mentorship opportunities and encourages personal and professional growth.
06/07/2026
Full time
Opus 2 International in Edinburgh seeks a Senior Engineer to lead complex projects, partnering with Product and Design teams to deliver innovative software solutions using AI tools. In this hands-on role, you'll be integral to shaping how we build and improve our platform. Ideal candidates have extensive experience in end-to-end engineering, skilled in cloud platforms like AWS, and comfortable working with modern tech stacks such as Python, Go, and TypeScript. The position offers strong mentorship opportunities and encourages personal and professional growth.
