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JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people first. We value collaboration, curiosity and commitment. As a Principal Engineer at JPMorgan Chase within the Accelerator Business in the Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Work with senior stakeholders to define and drive the multi-year technical roadmap and long-term architectural strategy for platform engineering, ensuring competitive advantage and scalability. Mentor and coach senior engineers across teams, elevating the technical bar and championing Software Engineering Communities of Practice. Serve as the key technical liaison for product, business, and security stakeholders, translating technical decisions into business impact. Lead the design and delivery of composable, secure, and scalable infrastructure systems and capabilities. Own the operational stability of production systems ("You Build It, You Run It"), automating recurring issues and establishing DORA/SLIs/SLOs metrics for continuous improvement. Drive architectural standards and best practices across the organisation, leading technical evaluations with internal and external partners. Champion FinOps principles to drive significant cloud cost optimisation and guide performance tuning of distributed systems. Required qualifications, capabilities, and skills Formal training or certification (e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration and operator patterns. Strong cloud networking expertise across the OSI networking model. Strong proficiency in Infrastructure as Code (IaC) methodologies. Proven, hands on experience in system design, development, testing, and operational stability. Advanced proficiency in modern language(s) (e.g., Go, Java, Kotlin). Demonstrated technical leadership and cross team collaboration. Hands on Security Engineering experience. Preferred qualifications, capabilities, and skills Advanced knowledge of CI/CD, application resiliency, and secure delivery (e.g., SLSA framework and GitOps). Deep experience with Observability and Monitoring tools (e.g., Prometheus, Grafana, OTEL). Expertise in performance optimisation of distributed systems (e.g., caching, network latency). Practical experience with Service Mesh technologies (e.g., Istio, Linkerd, Cillium). Demonstrated success in Mentorship and Coaching both senior and junior engineers. Proven ability in Technical Roadmapping and defining long term platform strategy. Stakeholder management and communication skills. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Here at the company, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe the company robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed the company platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. What You'll Do Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode We're Looking For Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue Nice to have Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

As a Salesforce Engineer at JPM Personal Investing, your responsibilities will include working to help shape the platforms for our Customer Service, Marketing, and Operations teams. You will also be developing standalone products on Salesforce, as well as integrating with the JPM Personal Investing services directly to build the best customer experience for customers and colleagues. Our Salesforce team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. Job responsibilities As a Salesforce Engineer, you will get involved in developing services such as referrals & promo systems, automation/alerts, email services, custom Lightning & Visualforce pages, developing products across all core Salesforce systems including Service & Sales Clouds, and Marketing Cloud. We also often use out-of-the-box external applications such as: Salesforce scheduler, milestones, forecasting Amazon Connect, Back-up solutions, and others. Required qualifications, capabilities, and skills Certified Salesforce developer (at least Platform Developer 1) Experience in platform (Async Apex) Service & Sales cloud development experience SOQL/SOSL/DML operation and SOQL query optimizations REST integrations with external services Testing methodologies & frameworks & integration testingExperience working in an Agile team (Scrum / Kanban) Migration tools Experience with Lightning Web Components Awareness of clean architecture in OOP A strong passion for creating clean, maintainable & highly testable code and components Preferred qualifications, capabilities, and skills Multiple Salesforce certifications Hands-on experience with integrations (BE APIs, Amazon Connect, etc.) Experience with relational databases (MySQL, Postgres or Oracle) Full-stack Salesforce development experience A good understanding of CI/CD principles and automated testing Marketing cloud experience Demonstrated experience in different integration patterns We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Qualcomm Technologies International Ltd is seeking a Software Engineer for their ESL team in Cambridge, UK to lead embedded software development on QCC710-based platforms. The ideal candidate will enhance existing firmware and drive Bluetooth innovation, contributing to standards. You'll need a Bachelor's degree, strong C programming skills, and 4+ years of experience. The role offers autonomy and significant impact on technology direction.

the company Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, the company is changing how military systems are designed, built and sold. the company's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, the company is committed to bringing cutting edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB We're looking for a highly driven software engineer to help make our simulation capabilities accessible to both humans and LLM agents. You will architect and deliver systems that enable the company's Advanced Capabilities team to define and explore how fleets of heterogeneous autonomous systems operate alongside humans in complex and contested environments. Within a multidisciplinary team of engineers you'll be the primary owner of backend services and agent integration, sitting at the intersection of simulation infrastructure, agent tooling, and user facing products. If you're an engineer who thrives on solving hard problems and wants to build software that redefines the future of defence, this is your opportunity. WHAT YOU'LL DO Design and build the agent integration layer: tool schemas, context management, retrieval over simulation state, and guardrails that let LLM agents reliably author scenarios, task entities, generate visualisations, and perform real time analysis across our wargaming applications Architect APIs and service contracts (gRPC/protobuf) with both human and machine consumers in mind Build robust, high performance backend services in Go that coordinate with downstream components in C++ and Rust handling scenario execution, physics modeling, and autonomy Deploy and maintain services on Kubernetes infrastructure, ensuring reliability and performance Collaborate closely with game engineers, robotics engineers, autonomy specialists, and war fighters to translate technical capabilities into reliable, performant features Identify bottlenecks and optimise features across the stack, from database queries to model inference Identify and close the gaps between what our systems can do and what agents can access REQUIRED QUALIFICATIONS Bachelor's degree in Computer Science or related field; or equivalent industry experience Hands on experience with at least some of: LLM function calling, tool use, RAG, agent orchestration, MCP. Deep interest in the rest. Strong proficiency in a garbage collected language (we use Go and Python) Comfortable reading and working with C++ and Rust codebases Experience building and deploying distributed systems with containerization and orchestration platforms (K8s) Understanding of databases, data modeling, and system architecture Familiarity with gRPC/protobuf or similar RPC technologies A bias for action, extreme ownership, and the drive to see projects through from concept to production Comfortable making decisions with incomplete information and shipping incrementally Eligible to obtain and maintain an active UKSV Security Clearance PREFERRED QUALIFICATIONS Experience shipping production agentic systems (not just prototypes) Experience in defence, aerospace, robotics, or other real time C2 systems The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of the company's total compensation package. Additionally, the company offers top tier benefits for full time employees, including: Benefits At the company, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next.

JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Engineering Manager at the company within the Accelerator Business, you would be responsible for the vision for the Data and AI capabilities of the platform - to enable product teams to focus on their core problems and platform would cover the rest. To give a not complete list of examples: data ingestion, transformation, exposing in various query engines, LLM patterns, audit, safety guardrails, compliance and observability. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Technologies we use: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark, VertexAI, ModelArmor, DeepEval, Google ADK. Job responsibilities Set the vision and multi-year strategy for the Data & AI Platform that powers Chase's next-generation digital experiences, translating enterprise priorities into an executable roadmap and measurable outcomes. Lead and scale a multi-discipline organization spanning data platform engineering and AI/MLOps, establishing clear ownership, org structure, operating rhythms, and standards for delivery. Own the platform's end-to-end data foundation-ingestion, transformation, orchestration, metadata/catalog, quality, and governed data products-built for reliability, scalability, and self-service adoption. Serve as the executive steward for compliant use of customer data, ensuring privacy, access controls, lineage, retention, and auditability are embedded by design and aligned to firm risk and regulatory expectations. Define and deliver platform enablement for LLM powered applications, including reference architectures, developer tooling, model onboarding and deployment patterns, evaluation and testing, observability, and cost/latency guardrails. Establish engineering excellence and operational maturity through SLOs, resiliency practices, incident management, release governance, capacity planning, and continuous improvement across the platform. Drive a product oriented platform model by partnering with product, security, legal, risk, architecture, and engineering leaders to prioritize the highest leverage capabilities and accelerate adoption across teams. Enable data driven product development at scale through trusted analytics pipelines, standardized telemetry, experimentation support, and consistent metrics to inform decisions and improve customer outcomes. Attract, develop, and retain top talent by building leadership depth, setting high standards, coaching managers and senior engineers, and fostering a culture of ownership, inclusion, and accountability. Required qualifications, capabilities and skills Being a problem solver: you can independently analyze a problem and come up with options on how to solve it. Flexibility regarding tools and languages: for example you have to be open to debug an permission issue one day in a python service and dig into some Java/Kotlin out-of-memory issue the other day (of course we take into account your expertise and you will have team members to help you out!). Knowledge of data structures. Experience with either Kubernetes or Docker. Experience with cloud technologies (AWS/Azure/GCP) and distributed systems, web technologies and event driven architectures. Experience in leading people. Preferred qualifications, capabilities and skills Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.). Experience with Kafka Connect. Preferably experience in setting up data platforms, setting standards - not just pipelines. Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink). Familiarity with advanced AI/ML concepts and protocols, such as Retrieval Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) Experience with a deploying to a GenAI platform a production system: Google VertexAI, OpenAI, AWS Bedrock, LangChain, etc. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

We are looking for a talented Software Engineer to join our growing team and help build a range of web and mobile applications for our business. You will be working across the full stack, using Node.js, Express, React and SQL to build portals, websites, dashboards, internal tools and client-facing systems. A large part of the role will involve database work and API integrations, so strong experience with SQL, REST APIs, webhooks and third-party platforms is essential. You will also help us connect and improve systems across CRMs, communication platforms, phone systems, websites and internal tools. Experience with telecommunications platforms, Webex, or similar contact centre systems would be highly desirable. We have used PHP in the past, so experience maintaining or improving PHP-based systems would also be beneficial. The successful candidate will be expected to build secure, scalable applications with a clear process from development and staging through to production. Experience working with SaaS products would be highly desirable. This role would suit someone who enjoys taking ownership of projects, building systems from scratch, improving existing platforms, and solving real business problems through technology. Key Skills Node.js Express React JavaScript SQL APIs REST APIs webhooks Git security best practice staging and production deployment Desirable Skills PHP SaaS products Webex telecommunication systems mobile app development cloud hosting CI/CD dashboards CRMs and automation tools Pay: £40,000.00-£80,000.00 per year Benefits Employee discount Enhanced maternity leave Enhanced paternity leave Free parking Health & wellbeing programme On-site parking Sick pay Work Location: In person

Who We Are At the company, also known as JINGDONG, we are building one of the world's most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity, the company operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected. Our Global Reach the company is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world. Learn more about who we are and what we do: company/ What We Offer Joining the company means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you'll have the space to shape the future with us. About The Team You'll be joining the the company team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. Key Responsibilities Design and develop backend services supporting search bar query, retrieval, and ranking scenarios. Integrate machine learning models into online search services through microservice-based architectures. Build and maintain high-performance backend systems using Java and Spring Boot. Collaborate with machine learning engineers to support model deployment, serving, and optimisation. Ensure system scalability, reliability, and low-latency performance under high traffic. Document system design decisions and share backend best practices within the team. Work onsite in London, UK. Minimum Qualifications Bachelor's degree (or equivalent) in Computer Science or a related field. 3+ years of experience in Java programming and Spring Boot. Experience related to search systems, such as retrieval, ranking, or advertising. Experience with microservices architecture and service deployment. Ability to communicate effectively in English and Chinese. Preferred Qualifications Experience supporting ML-enabled search systems in production environments. Experience working on high-concurrency or low-latency services. Experience in large internet or consumer-facing technology companies. Familiarity with distributed systems design. The company is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. At the company, we're committed to building a diverse and inclusive workplace where everyone can thrive. We're proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic. Ready to apply? Take the next step in your career, apply now and explore the opportunities we have to offer.

Harmonic Security lets teams adopt AI tools safely by protecting sensitive data in real time with minimal effort. It gives enterprises full control and stops leaks so that their teams can innovate confidently. We are led by cybersecurity experts and backed by top investors including N47, Ten Eleven Ventures, and In-Q-Tel. As AI adoption accelerates inside the enterprise, Harmonic's ability to safely observe, control, and enforce policy at the endpoint is mission-critical. How We Work: AI-First by Design Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to the same standard. Everyone at Harmonic actively uses AI tools to do their best work, from research and writing to building processes and automating workflows. We expect every new hire to bring curiosity about AI and a willingness to use it to work smarter, faster, and more creatively. For some roles, that means tinkering and staying open to new tools. For others, it means building entirely new systems with AI at the core. We'll be clear about what we expect for each role, and we'll give you the tools and support to get there. About the Team The Security & TechOps team builds the systems, tooling, and research that keep Harmonic secure, trusted, and able to move fast. We work across the entire lifecycle of how the company operates-from how we build software, to how we detect threats, to how we prove our security posture to customers, to how employees use the technology that powers their work. We focus on enabling speed without sacrificing safety. That means creating secure-by-default engineering practices, building automation and detections that reduce manual work, researching emerging AI security risks, running assurance programmes like SOC 2 and ISO 27001, and shaping the internal platforms that help teams work efficiently and securely. We're a hands on, engineering first group. We avoid box ticking and heavy process in favour of practical solutions, strong automation, and constant improvement. We collaborate closely across functions, operate with high ownership, and support each other through rapid growth. Our shared goal is to build the trust, systems, and capabilities that let Harmonic innovate confidently and at scale. About the Role Our goal is simple: enable engineering teams to move fast and ship securely. We do this by creating the tools, standards, and systems that make secure development seamless. Whether it's hardening pipelines, tuning detection tooling, or staying ahead of emerging AI risks, we build the connective tissue that keeps Harmonic's products secure and trusted. This team operates at the heart of our engineering culture - hands on, collaborative, and pragmatic. We bridge the gap between security and development, helping both move faster and with more confidence. We're looking for a Staff Security Engineer, Product Security to shape how Harmonic builds secure products from the start. You'll lead the creation of tools, standards, and practices that make secure development part of our everyday engineering workflow. You'll work closely with Engineering and DevOps to integrate security into design, build, and deployment. From managing code scanning and vulnerability tooling to supporting product pen tests and monitoring AI related risks, you'll help teams ship fast and safely while building lasting confidence in our products. What You'll Do Act as the security partner to engineering - helping teams design, build, and ship securely without slowing down development. Drive and maintain the tooling that underpins product security - from code scanning and vulnerability detection to CI/CD hardening and reporting. Keep a close eye on our own AI systems and tools - monitoring emerging threats and ensuring our AI security posture evolves with the field. Lead threat modelling across the product - running structured STRIDE and LINDDUN assessments on new features and system designs, building repeatable templates, and using AI tooling to make it faster and more scalable. The goal is making threat modelling a normal part of how we build, not a separate event. Use AI to build and scale the product security function - integrating tools like Claude Code into security workflows, from automated threat modelling to building internal security tooling. A high performing programme, not necessarily a large one. What you Bring Demonstrable software engineering experience in programming, application design and SLDC. Proven experience as a Product or Application Security Engineer in a modern engineering environment - you understand how products are built and shipped. Curiosity for emerging threats, especially around AI and ML systems, and a drive to keep our defences one step ahead. Excellent communicator who can translate between engineering, security, and go to market teams - clear, direct, and grounded in technical reality. Hands on experience with structured threat modelling, including both security and privacy threat modelling methodologies (e.g. STRIDE, LINDDUN). Strong Claude Code or equivalent AI coding agent experience. Demonstrated use of agentic AI to build, automate, and accelerate security engineering work. This is a must have. You Might Be a Fit If You Like working closely with engineering teams to embed security into everyday development without slowing them down. Enjoy building and tuning security tools, pipelines, and dashboards that give developers useful signal - not noise. Can translate complex security risks into clear, actionable guidance for engineers and product teams. Want to shape how secure development happens in a high growth, modern engineering organisation. Reach for Claude Code as a first instinct when building or automating something, and want to apply that to building a product security function that punches well above its weight. What Success Looks Like (6-12 months) You'll have fine tuned our default code security rules and enhanced how engineering teams engage with security scans. A measurable outcome is a significant reduction in raw security findings and a streamlined reporting process that meets engineers where they work. You'll have established a consistent and proportional approach to security in design reviews inc threat modelling, making these practices a routine part of engineering. You will have introduced automation into our product security workflows, reducing manual effort and allowing the team to focus on more strategic initiatives. Most importantly, you'll have introduced a top tier AI development security programme to ensure our AI systems are safe, secure, and regularly reviewed as the tech landscape evolves. Why Join Us This isn't just a job; it's an opportunity to be part of a team that is redefining cybersecurity. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Competitive pay and meaningful equity with a direct stake in Harmonic's success Comprehensive benefits, pension plan, generous PTO, and flexible hybrid work A small, passionate team that values transparency, creativity, and learning Thoughtful leadership that cares deeply about growth, impact, and people Annual global off sites (past trips include Lisbon and Nashville) The chance to directly shape both our product and our culture as we build a category defining company Harmonic's Core Values Flourish in the Unknown We embrace new, unfamiliar situations that require initiative and rapid decision making. We orient ourselves quickly and deliver results with minimal guidance. Never Full We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more. Perfect Harmony We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work.

About the Role We are looking for an experienced Principal Back-End Engineer to lead the team building and scaling the infrastructure behind Scenario Builder, our electricity grid modelling platform. Scenario Builder is an in-browser platform that currently provides capacity expansion and dispatch modelling through an accessible no-code interface. The vision for Scenario Builder is to expand into power flow modelling to create a fully integrated grid modelling platform with the features and functionality needed to enable users to develop bankable scenarios that support energy investment decisions. You will line-manage a small team of engineers while remaining a highly active individual contributor. You will own the technical shape of engineering work on the back-end team - leading planning, architecture, and code quality. You will work closely with the wider product and engineering team to design, develop, and maintain the back-end services that power our platform. This hybrid role is based out of our London office near Waterloo Station and reports to the Head of Platform. Responsibilities Back-end development & architecture Design, develop, and maintain scalable back-end services and APIs using Python and modern frameworks (FastAPI). Design and build high-performance API endpoints to handle complex hierarchical data queries and multi-dimensional aggregations for grid modelling computations Ensure system reliability, performance, and security through best practices in code quality, testing, and monitoring. Collaborate with front-end engineers to design and implement RESTful APIs that support our web application. Collaborate with data engineers and domain experts on the evolving core data model Infrastructure & DevOps Manage and optimise cloud infrastructure (GCP) to support our computational workloads. Implement and maintain CI/CD pipelines to enable rapid, reliable deployments. Monitor system health and performance, proactively identifying and resolving issues. Implement and maintain infrastructure-as-code Technical leadership & collaboration Participate and lead in code reviews, architectural discussions, and technical planning sessions. Own technical planning: break down roadmap items into well-scoped engineering work, lead estimation, and drive architectural decision records (ADRs). Collaborate with cross-functional teams, including product, data engineering, and modelling, to deliver impactful features. Set and uphold the team's technical standards - code quality, testing strategy, API design - through direct example and code review. People & line management Line-manage a team of 3-5 engineers: run regular 1:1s, support career development, and provide timely, constructive feedback. Partner with the Head of Platform on performance reviews and personal development plans. Act as the first point of escalation for day-to-day technical blockers About You You should have a long-term commitment to advancing the energy transition and be driven to build robust, scalable systems that power our grid modelling platform. Passionate about creating highly performant back-end services, you understand the technical challenges associated with building niche B2B products that handle complex computational workloads. In addition to seeking out people with a proactive, problem-solving attitude and an eye for detail, as a growing organisation, collegiality and empathy for our coworkers are a requisite. While we are a rapidly growing tech startup, we are also a non-profit, so a high level of adaptability and willingness to approach challenges with creativity and curiosity is essential. Skills & Experience Essential 7+ years of experience in back-end software development, with strong proficiency in Python. Experience designing and building RESTful APIs and microservices architectures. Strong understanding of database technologies (PostgreSQL, Redis, Firestore), ORMs and data modelling principles. Experience with cloud platforms (preferably GCP) and containerisation technologies (Docker). Solid understanding of software engineering best practices, including testing, code review, and documentation. Excellent problem-solving skills and ability to work independently on complex technical challenges. Experience line managing or formally mentoring engineers, with confidence running 1:1s and supporting career development. Understanding of OAuth and web security best practices. Experience with AGILE/Scrum based ways-of-working Desirable Experience in the energy sector or with computational modelling/simulation software. Familiarity with scientific computing libraries (NumPy, Pandas) and optimisation frameworks. Experience with generative AI/LLMs in applied engineering contexts Experience with infrastructure-as-code tools (Terraform, Terragrunt) and GitOps practices.