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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Full Stack Software Engineer III at JPMorgan Chase in the Asset Management Team, you will design and deliver secure, stable, and scalable technology products. You'll work across multiple technical areas, supporting key business functions and objectives. You will collaborate with your team to solve complex problems, drive improvements, and ensure high-quality outcomes. Your role will help shape our technology landscape and foster a culture of innovation and excellence. • Execute software solutions, design, development, and technical troubleshooting, • Create secure, high-quality production code and maintain algorithms, • Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, • Validate outputs through peer review, automated testing, and secure coding standards, • Contribute learnings and reusable patterns to enhance team effectiveness, • Apply knowledge of tools within the Software Development Life Cycle toolchain, • Utilize AI-assisted development and automation capabilities to maximize automation value, • Produce architecture and design artifacts for complex applications, • Ensure design constraints are met during software code development, • Identify hidden problems and patterns in data to drive improvements, • Enhance coding hygiene and system architecture, • Formal training or certification in software engineering concepts and advanced applied experience, • Strong hands-on experience with Java, • Experience with data distribution and consumption using event, Kafka streaming, API (GraphQL and REST), and bulk methods, • Practical experience in public cloud solutions, AWS, with knowledge of mesh data distribution using Snowflake and Starburst compute engines, • Hands-on experience in system design, application development, testing, and operational stability, • Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages, • Experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, • Ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security, • Knowledge of mesh data distribution patterns using Snowflake and Starburst, • Ability to distribute and consume data using event, streaming, bulk, and request/response methods, • Hands-on experience in public cloud technologies 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. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

Salary: £62,000 - 102,000 per year • Formal training or certification in software engineering concepts and advanced applied experience, • Strong hands-on experience with Java, • Experience with data distribution and consumption using event, Kafka streaming, API (GraphQL and REST), and bulk methods, • Practical experience in public cloud solutions, AWS, with knowledge of mesh data distribution using Snowflake and Starburst compute engines, • Hands-on experience in system design, application development, testing, and operational stability, • Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages, • Experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, • Ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security, • Knowledge of mesh data distribution patterns using Snowflake and Starburst, • Ability to distribute and consume data using event, streaming, bulk, and request/response methods, • Hands-on experience in public cloud technologies, • Execute software solutions, design, development, and technical troubleshooting, • Create secure, high-quality production code and maintain algorithms, • Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, • Validate outputs through peer review, automated testing, and secure coding standards, • Contribute learnings and reusable patterns to enhance team effectiveness, • Apply knowledge of tools within the Software Development Life Cycle toolchain, • Utilize AI-assisted development and automation capabilities to maximize automation value, • Produce architecture and design artifacts for complex applications, • Ensure design constraints are met during software code development, • Identify hidden problems and patterns in data to drive improvements, • Enhance coding hygiene and system architecture, • AI, • API, • AWS, • CI/CD, • Cloud, • GraphQL, • Java, • Kafka, • REST, • Security, • Snowflake, • Network, • Fullstack We are J.P. Morgan Chase, a global leader in financial services providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. In our Asset Management team, we offer a full-time Full Stack Software Engineer III opportunity focused on designing and delivering secure, stable, and scalable technology products across multiple technical areas. We value innovation, excellence, diversity, and inclusion, and we are committed to building trusted long-term partnerships with our clients. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions, with Asset Management spanning the full spectrum of asset classes and Wealth Management helping individuals, families, and foundations better define and realize their goals. #J-18808-Ljbffr

We are seeking a Data Engineering Specialist to join the Architecture & Modernization team. You will be instrumental in building and maintaining the data infrastructure for our Data AI platforms. This role will involve hands‑on development, data pipeline creation, and close collaboration with stakeholders across the organization. This role requires a self‑starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We value diversity of thought and are committed to building a team that reflects the diversity of our global community. Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Data & Analytics Engineering position at Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision‑making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI‑based techniques. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. • Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes., • Work with structured and unstructured data to ensure it is accessible and usable., • Optimize data systems for performance and scalability., • Implement data quality and data governance standards., • Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data‑driven insights., • Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials., • Participate in code reviews and contribute to the improvement of development processes., • Contribute to the broader data architecture community through knowledge sharing, presentations., • Data Engineering experience with Snowflake and Databricks native solutions., • Experience on Snowflake Cortex is must., • Proficiency in programming skills in Python., • Experience with data processing frameworks like Apache Spark or Hadoop., • Knowledge of database systems (SQL and NoSQL)., • Familiarity with cloud platforms (AWS, Azure) and their data services., • Understanding of data modeling and data architecture principles., • Experience with data warehousing concepts and technologies., • Experience with message queues and streaming platforms (e.g., Kafka)., • Experience with version control systems (e.g., Git)., • Experience using Jupyter notebooks for data exploration, analysis, and visualization., • Excellent communication and collaboration skills., • Ability to work independently and as part of a geographically distributed team., • 8 years+ of being a practitioner in data engineering or a related field would generally be expected to find the skills required for this role. #GLTECH#LI-LM1#HYBRID At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work‑life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross‑section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo. #J-18808-Ljbffr

We are seeking a Data Engineering Specialist to join the Architecture & Modernization team. You will be instrumental in building and maintaining the data infrastructure for our Data AI platforms. This role will involve hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Data & Analytics Engineering position at Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.What you'll do in the role:Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.Work with structured and unstructured data to ensure it is accessible and usable.Optimize data systems for performance and scalability.Implement data quality and data governance standards.Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data-driven insights.Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials.Participate in code reviews and contribute to the improvement of development processes.Contribute to the broader data architecture community through knowledge sharing, presentations.What you'll bring to the role:Data Engineering experience with Snowflake and Databricks native solutions.Experience on Snowflake Cortex is must.Proficiency in programming skills in Python.Experience with data processing frameworks like Apache Spark or Hadoop.Knowledge of database systems (SQL and NoSQL).Familiarity with cloud platforms (AWS, Azure) and their data services.Understanding of data modeling and data architecture principles.Experience with data warehousing concepts and technologies.Experience with message queues and streaming platforms (e.g., Kafka).Experience with version control systems (e.g., Git).Experience using Jupyter notebooks for data exploration, analysis, and visualization.Excellent communication and collaboration skills.Ability to work independently and as part of a geographically distributed team.8 years+ of being a practitioner in data engineering or a related field would generally be expected to find the skills required for this role.#GLTECH#LI-LM1#HYBRIDWHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .Employment Type:Full timeJob Level:ProfessionalPosted Date:Aug 21, 2026ATS Job Description Test:Department:Data & Analytics Engineering

We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer – Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that support enterprise data protection and obfuscation initiatives. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cybersecurity Engineering position at Associate level, which is part of the job family responsible for monitoring, detecting, and responding to security incidents to ensure the organization's systems and data are protected from actual and potential threats or breaches. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Design and develop resilient on-prem and multi-cloud database solutions with Java, Spring Boot, Angular, and Python Develop high-performance solutions that efficiently handle large-scale data and metadata operations leveraging Python’s threading and multiprocessing libraries and ensure robust error handling and resource management in parallel execution environments. Deliver secure, high-performance and efficient database and ETL capabilities using Java Collections Framework, data structures, algorithms, and object-oriented design principles, while ensuring scalability, governance, and reliability. Design and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend services, and integrations with database and ETL platforms. Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures. Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniques Design and build automations and tooling to enable firmwide data engineering and application development teams, helping them optimize data processing based on their specific database platforms and user needs. Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency. Design, develop, and maintain innovative scalable solutions to optimize complex data pipelines, including ETL processes. Develop solutions leveraging database backup and restore methods, DDL generation and manipulation, database access management, schema and object-level high-performance data movement. Build solutions with pushdown optimization, ELT, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel. At least 4 years’ relevant experience would generally be expected to find the skills required for this role. Proven track record in designing and implementing complex database and data solutions with full stack application development. Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.). Hands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular. Strong understanding of API design, microservices architecture, authentication mechanisms (OAuth, service principals, token-based authentication), and secure application development practices. 2+ years of expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus. Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows. Extensive experience building and optimizing data pipelines and data architectures (preferred using Talend, Kafka, and/or Informatica). Expertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design. Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience. At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo. #J-18808-Ljbffr

We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer – Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that support enterprise data protection and obfuscation initiatives.In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cybersecurity Engineering position at Associate level, which is part of the job family responsible for monitoring, detecting, and responding to security incidents to ensure the organization's systems and data are protected from actual and potential threats or breaches.Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.What you'll do in the roleDesign and develop resilient on-prem and multi-cloud database solutions with Java, Spring Boot, Angular, and PythonDevelop high-performance solutions that efficiently handle large-scale data and metadata operations leveraging Python’s threading and multiprocessing libraries and ensure robust error handling and resource management in parallel execution environments.Deliver secure, high-performance and efficient database and ETL capabilities using Java Collections Framework, data structures, algorithms, and object-oriented design principles, while ensuring scalability, governance, and reliability.Design and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend services, and integrations with database and ETL platforms.Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures.Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniquesDesign and build automations and tooling to enable firmwide data engineering and application development teams, helping them optimize data processing based on their specific database platforms and user needs.Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency.Design, develop, and maintain innovative scalable solutions to optimize complex data pipelines, including ETL processes.Develop solutions leveraging database backup and restore methods, DDL generation and manipulation, database access management, schema and object-level high-performance data movement.Build solutions with pushdown optimization, ELT, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel.What you'll bring to the roleAt least 4 years’ relevant experience would generally be expected to find the skills required for this role.Proven track record in designing and implementing complex database and data solutions with full stack application development.Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.).Hands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular.Strong understanding of API design, microservices architecture, authentication mechanisms (OAuth, service principals, token-based authentication), and secure application development practices.2+ years of expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus.Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows.Extensive experience building and optimizing data pipelines and data architectures (preferred using Talend, Kafka, and/or Informatica).Expertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design.Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience.#Hybrid#GLTECH#LI-LM1WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .Employment Type:Full timeJob Level:ProfessionalPosted Date:Sep 09, 2026ATS Job Description Test:Department:Cybersecurity Engineering

About UsAre you ready to shape the future of financial control technology? At VCGTech, you’ll collaborate with talented engineers to deliver impactful solutions that drive transparency and trust in global markets. You’ll have the opportunity to grow your skills, work with cutting-edge technology, and make a real difference in how we value and manage risk. Join a team where your ideas matter and your contributions are valued.As a Python Software Engineer in the VCGTech team, you will design and deliver robust financial control systems that support our mission-critical Independent Revaluation Infrastructure System (IRIS). You’ll work closely with asset class and platform teams to build scalable, secure, and innovative solutions. You will help ensure the accuracy and integrity of our balance sheet, collaborating with experts across technology and finance. Your work will directly impact how we manage valuation, risk, and regulatory compliance.Job ResponsibilitiesDesign and develop Python applications within a large mono-repo using proprietary workflowsBuild graph-based data pipelines for valuation adjustment calculations and risk analysisImplement independent price verification and valuation adjustment workflows across asset classesDevelop consensus pricing solutions integrating with external market data providersConfigure distributed compute, job scheduling, analytics integrations, and cloud storage pipelinesWrite and maintain comprehensive unit, baseline, and parameterized testsInvestigate and remediate security vulnerabilities; support audit remediation effortsOperate with a dry-run-first, confirm-before-modify, audit-everything approach on production systemsDesign and maintain AI developer tooling, including prompt engineering and LLM-assisted code generationRequired qualifications, skills, and capabilitiesProficiency in Python, including type annotations, context managers, generators, and functional programming patternsKnowledge of Python 3 would be advantageous Experience with test-driven or test-heavy development, including unit, integration, and regression testingAbility to build and maintain multi-stage data processing pipelines (graph-based, batch, or streaming)Understanding of security best practices, including input validation and vulnerability remediationExperience with agentic AI and prompt engineering, including LLM-based developer agents and workflow orchestrationPreferred QualificationsBackground in financial services, derivatives pricing, market data, or valuation conceptsExperience with distributed compute or job scheduling systemsFamiliarity with Databricks, Delta Lake, or similar analytics platformsKnowledge of reactive or event-driven programmingJ.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. 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.Full timePosting Date: 2026-09-01

Location: Glasgow City, Glasgow, UK; Salford, UK; Sheffield, UKSalary: 49,850 - 52,850 per yearEmployment: Full timeCategory: Business IntelligencePosted: 2026-09-11Valid to: 2026-09-25Employer: Home OfficeJob summaryHome Office Digital designs, builds and develops services for the rest of the department and for government. Every year our systems support up to 3 million visa applications, checks on 100 million border crossings, up to 8 million passport applications and deliver 140 million police checks on people, vehicles and property. Senior Data Engineers design and implement complex data flows to connect operational systems with analytics and BI systems. You’ll build and manage data flows, collaborating with the Data Science community and Product Owners to identify strategies and services to best support business needs. You’ll help set the direction for service technology and data architecture, while mentoring junior team members, promoting collaboration and encouraging an agile approach to work.You’ll get to work with some of the largest and most varied datasets around, and benefit from a wealth of continuous professional development resources and career opportunities. You’ll play a key role in delivering joined-up, intelligent services that unlock the value from data and deliver better outcomes for the UK.Where business needs allow, some roles may be suitable for a combination of office and home-based working. Where this is the case, employees will be expected to spend a minimum of 60% of their working time in the office. Applicants can raise any queries to the email address at the bottom of the advert. Watch this short video to hear from members of Home Office Digital talking about the projects they work on and their experience of working here: Working for Home Office Digital.Job descriptionThis role sits in the Central FinOps team and plays a critical role in enabling accurate cloud cost allocation, recharge, and financial transparency across Home Office. The role focuses on collecting, transforming and maintaining large volumes of AWS and Azure cost and usage data, ensuring that cloud expenditure can be accurately attributed to portfolios, programmes and services. This supports the Central FinOps team's recharge and chargeback processes, providing a reliable basis for financial management and accountability across the organisation.A key responsibility is the development and maintenance of data pipelines, datasets and reporting solutions that underpin cloud cost dashboards, forecasting, invoicing and recharge activities. The engineer works closely with finance teams, cloud platform teams and business stakeholders to ensure data quality, consistency and traceability. They support the production of recharge datasets and dashboards, enabling portfolio teams to understand their cloud consumption and associated costs.The role also contributes to cost optimisation, tagging compliance, data governance and cloud unit economics. By automating data collection, improving reporting accuracy and developing analytical capabilities, the role helps Home Office manage significant public cloud expenditure effectively.Senior Data Engineers design and lead the implementation of complex data flows to connect operational systems, data for analytics and BI systems.As a Senior Data Engineer, you will identify, build, modify and manage data flows between complex systems using the appropriate solution.You will be working with the Data Science community, who set the scope of data engineering work through user research and data pipelines. Through sharing work with Product Owners, you will identify strategies for how the service is best able to support business needs.You will work with fellow members of the Data Engineering community to set the direction of the service technology and data architecture. You will also mentor more junior members of the team - promoting challenge, collaborating and encouraging an agile approach to working.Person specificationMain ResponsibilitiesAnalysing problems and experimenting with possible solutions to find the underlying causes of issues or discrepancies to identify problems and to assist in the development of innovative solutions.Analysing and reporting test activities and results, supporting data engineers and stakeholders on data analysis issues.Designing and implementing a data streaming service, including the development of new data models and ETL processes.Ensuring the successful delivery of completed data loads for customers, Data Analysts and Data Scientists, troubleshooting where required.Designing, building and testing data products and solutions that are complex or large scale, through full development, test and deployment lifecycles.Applying concepts and principles of data modelling and producing relevant and varied data models across multiple subject areas and providing guidance on how to use them.Working PatternDue to the business requirements of this role, it is only available on a full-time basis. However, compressed hours are available. Essential Skills Working experience of finance processes, procedures, and controls (ideally in UK Government), processing financial transactions accurately and in line with delegated authorities, financial regulations, and audit requirements, including an ability to identify, investigate, and resolve financial discrepancies in a timely manner.Strong understanding of financial governance, risk management, and internal control frameworks, excellent attention to detail and commitment to accuracy in financial processing.Practical experience of receipting and invoicing, including purchase-to-pay (P2P) and order-to-cash (O2C) processes, working with finance systems and enterprise resource planning (ERP) platforms, e.g. Oracle.Experience of working collaboratively with suppliers, commercial teams, and operational stakeholders to ensure compliance with contractual and financial requirements, with an ability to communicate complex financial information clearly to a range of stakeholders.The delivery of projects in data analysis, solution design and end user reporting.Experience of any of the following: IT programming and automation, using tools such as industry standard ETL tools, network databases and scheduling and orchestration tools, using modern / open source programming languages in order to deliver data development / engineering products, using public cloud data technologies.Effectively managing and communicating with non-technical and senior stakeholders about performance and analysis.SFIA capability frameworkSkills for the Information Age (SFIA) version 8 is the technical framework that sets the standard capability and development of all levels in the Home Office. This is a link to the capability framework: All skills A - Z English (sfia-online.org). We use set SFIA technical skills to form our interview questions and we will assess you against these technical skills during the selection process. The essential skills listed above are reflective of the Home Office Government Digital and Data Profession Career Framework (based on the industry standard SFIA framework). Use the SFIA Levels of responsibility to understand what would be expected for each technical skills listed below. Technical skillsWe'll assess you against these technical skills during the selection process:Innovation (INOV) – Level 3Methods and Tools (METL) – Level 3Data Management (DATM) – Level 3Data Modelling and Design (DTAN) – Level 3Database Design (DBDS) – Level 3Data Engineering (DENG) – Level 3BenefitsAlongside your salary of 49,850, Home Office contributes 14,441 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window).Why work for us...Find out more information at: Benefits - Home Office Careers, but some of the primary ones are: A Civil Service Pension with employer contribution rates of at least 28.97%. In-year reward scheme for one-off or sustained exceptional personal or team achievements. 25 days annual leave on appointment, rising with service. 8 days of public holidays, plus 1 additional privilege day. Where business needs allow, some roles may be suitable for a combination of office and home-based working. This is a non-contractual arrangement where all employees will be expected to spend a minimum of 60% of their working time in an office. Sign-up on our website to receive emails with information about careers at the Home Office. Things you need to knowArtificial intelligenceArtificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use.Selection process detailsThis vacancy is using Success Profiles (opens in a new window), and will assess your Experience and Technical skills.As part of the application process, you will be asked to complete a CV and 1000 -word personal statement: CV – include a brief employment history outlining for each role, the organisation, job title, dates in post, and key responsibilities and achievements. Any recent employment gaps should be explained. A second section should set out the skills and experience most relevant to this role, drawing on your career, training, and other relevant activities without repeating the employment history. Focus on the evidence that best demonstrates your capability to meet the role requirements. Personal statement - this should present a clear and coherent narrative explaining why you are applying, what you would bring to the role, and how your experience meets the essential criteria. Use well‑chosen examples to illustrate your impact, drawing on STAR‑style thinking where helpful, but ensure the statement reads as a single, flowing document rather than a set of isolated responses. To ensure you are assessed on merit alone, we ask you to anonymise your application. This means removing personal identifiers such as your name, age, and place of education. You do not need to remove your employment history, job titles, or any information about your work. Watch our three short videos on how to apply for our roles: Applying - Home Office Careers.Problems during the application processIf you experience problems accessing this advert, or you think you’ve made a mistake on an initial application, please contact hocandidates.grs@cabinetoffice.gov.uk, including the vacancy reference, at least two working days before the vacancy closes. Further information can be found on our website. Do not create or attempt to submit another application, online test or use a different Civil Service Jobs account to proceed as this would be in violation of the candidate declaration. Sift StageThe sift will be held on the CV and Personal Statement. Please read the essential skills for this position carefully. We will only consider those who meet the listed requirements. In the event of a high number of applications received, an initial sift may be held on the Personal Statement.Interview StageCandidates reaching the required standard will then be invited to attend an interview. The interview will assess your Technical Skills (SFIA Framework) using technical based questions. If you are invited to an interview, you will be required to bring a range of documentation for the purposes of establishing identity and to aid any pre-employment checks. Please see the attached list of Home Office acceptable ID documents. Sift and Interview datesThe sift will commence from 25/09/2026. Interviews are expected to take place from 19/10/2026. (Subject to the Panel’s operational requirements/priorities). Interviews will be conducted remotely via MS Teams. We will try to meet the dates set out in the advert. There may be occasions when these dates will change. You will be provided with sufficient notice of the confirmed dates. Working PatternThis role is full time only. Applicants who wish to work an alternative pattern are welcome to apply however your preferred working pattern may not be available and you should discuss this with the vacancy holder before applying.Further informationIf you have previously made an unsuccessful application for a role with the same essential skills and are not able to demonstrate how you have developed these skills since your last application, please reconsider applying as your application is unlikely to be successful. In order to process applications without delay, we will be sending a Criminal Record Check to Disclosure and Barring Service on your behalf. However, we recognise in exceptional circumstances some candidates will want to send their completed forms directly. If you are doing this, please advise Government Recruitment Service of your intention by emailing Pre-EmploymentChecks.grs@cabinetoffice.gov.uk stating the job reference number in the subject heading. Reserve ListA reserve list of successful candidates will be kept for 12 months. Should another role become available within that period you may be offered this position. Reserve lists may be held for each location. Candidates will be appointed in merit order by location where this applies. Similar RolesJob offers to this post are made based on merit. We often have similar roles available at different grades. If a candidate is suitable for a similar role or a lower grade than they have applied for, we may offer the candidate that role without the need to go through a further selection process providing the role has the same competencies and essential skills. UK residency and security requirements For meaningful security checks to be carried out, individuals need to have lived in the UK for a sufficient period of time. Learn more on our website. Security Checks - Home Office Careers. Please note that this role requires Security Check (SC) clearance, which would normally need 5 years’ UK residency in the past 5 years. However, in exceptional circumstances security clearance applications for candidates who have been present in the UK for at least 3 of the last 5 years may be considered. Failure to meet this residency requirement will result in your security clearance application being rejected. For further information on National Security Vetting please visit the following page Demystifying Vetting - GOV.UK. Visa Sponsorship We are unable to sponsor any individuals via Skilled Worker Sponsorship / Tier 2 (General) work visas as we do not hold a UK Visa & Immigration (UKVI) Skilled Worker License. Capability allowance The advertised role is part of the Home Office Government Digital and Data Profession. This role has access to a digital capability-based allowance. Applicants who are successful at interview will be invited to complete a Capability and Skills Assessment post-interview. Any allowance awarded will be based on the assessment of your capability against the six skills advertised for this role. Please see the Home Office Pay Framework Allowance Careers page for more information. The allowance values are set by the Home Office, subject to remaining in a qualifying role. This allowance is non-contractual, subject to an annual review and could be withdrawn at any time. For both new entrants and existing civil servants, the total compensation offer is a combination of base salary and, if applicable, a capability-based allowance. The pay ranges for this role are National: 49,850 - 52,850 and London: 53,850 - 56,850. New entrants to the Civil Service will start on the pay range minimum. For existing civil servants, our policies on level transfer and promotion will apply. Reasonable AdjustmentsIf a person with disabilities is at a substantial disadvantage compared to a non-disabled person, we have a duty to make reasonable changes to our processes. If you need a change to be made so that you can make your application, you should: Contact Government Recruitment Service via HOrecruitment.grs@cabinetoffice.gov.uk as soon as possible before the closing date to discuss your needs. Complete the “Assistance Required” section in the “Additional Requirements” page of your application form to tell us what changes or help you might need further on in the recruitment process. For instance, you may need wheelchair access at interview, or if you are deaf, a language service professional. If you are experiencing accessibility problems with any attachments on this advert, please contact the email address in the ‘Contact point for applicants’ section. FeedbackFeedback will only be provided if you attend an interview or assessment.SecuritySuccessful candidates must undergo a basic (or equivalent) criminal record check.Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window).See our vetting charter (opens in a new window).People working with government assets must complete baseline personnel security standard (opens in new window) checks.Nationality requirementsThis job is broadly open to the following groups:UK nationalsnationals of the Republic of Irelandnationals of Commonwealth countries who have the right to work in the UKnationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil ServiceFurther information on nationality requirements (opens in a new window)Working for the Civil ServiceThe Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.Diversity and InclusionThe Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see theCivil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).Apply and further informationThis vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative.Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.Contact point for applicantsJob contact : Name : AC RecruitmentEmail : ACRecruitment@homeoffice.gov.ukRecruitment teamEmail : HOrecruitment.grs@cabinetoffice.gov.ukFurther informationIf you feel that your application has not been treated in accordance with the recruitmentprinciples, and wish to make a complaint, then you should contact in the first instanceHORecruitment.GRS@cabinetoffice.gov.uk. If you are not satisfied with the response that you receive, then you can contact the Civil Service CommissionAttachmentsCandidateInformationv18July2026 Opens in new window (pdf, 380kB)2025-11-01 Pre-employment Checking - Document Requirements (V17) Opens in new window (pdf, 642kB)HO Government Digital and Data Skills Library V1.2 Opens in new window (pdf, 400kB)

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Full Stack Software Engineer III at JPMorgan Chase in the Asset Management Team, you will design and deliver secure, stable, and scalable technology products. You’ll work across multiple technical areas, supporting key business functions and objectives. You will collaborate with your team to solve complex problems, drive improvements, and ensure high-quality outcomes. Your role will help shape our technology landscape and foster a culture of innovation and excellence. • Execute software solutions, design, development, and technical troubleshooting, • Create secure, high-quality production code and maintain algorithms, • Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, • Validate outputs through peer review, automated testing, and secure coding standards, • Contribute learnings and reusable patterns to enhance team effectiveness, • Apply knowledge of tools within the Software Development Life Cycle toolchain, • Utilize AI-assisted development and automation capabilities to maximize automation value, • Produce architecture and design artifacts for complex applications, • Ensure design constraints are met during software code development, • Identify hidden problems and patterns in data to drive improvements, • Enhance coding hygiene and system architecture, • Formal training or certification in software engineering concepts and advanced applied experience, • Strong hands-on experience with Java, • Experience with data distribution and consumption using event, Kafka streaming, API (GraphQL and REST), and bulk methods, • Practical experience in public cloud solutions, AWS, with knowledge of mesh data distribution using Snowflake and Starburst compute engines, • Hands-on experience in system design, application development, testing, and operational stability, • Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages, • Experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, • Ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security, • Knowledge of mesh data distribution patterns using Snowflake and Starburst, • Ability to distribute and consume data using event, streaming, bulk, and request/response methods, • Hands-on experience in public cloud technologies #J-18808-Ljbffr

• Business Unit Consumer & Community Banking, • Posting Date 09/02/2026, 03:21 PM, • Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB, • Job Schedule Full time, • Job Shift Day We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III – DevOps/AWS Engineer at JPMorganChase within the Commercial & Investment Bank, particularly in the Payments Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities • Design and deliver creative software solutions, including development and technical troubleshooting; think beyond conventional approaches to build solutions and break down complex technical problems., • Develop secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability., • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns., • Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation., • Identify recurring issues and lead efforts to eliminate root causes or automate remediation to improve operational stability of applications and systems., • Lead evaluation sessions with external vendors/startups and internal teams to assess architectural designs, technical capabilities, and fit within existing systems and information architecture., • Build scalable feature engineering and data pipelines on Databricks using data lake sources, leveraging Spark/Delta and Databricks workflows/jobs. Required qualifications, capabilities, and skills • Formal training or certification in software engineering concepts with applied experience. Strong CI/CD and release management experience, including best practices and implementation with tools such as Jules, Jenkins, and Spinnaker., • Hands-on DevOps experience with Kubernetes and Docker, including deployment automation and containerized application development., • Deep AWS platform experience across compute, storage, networking, security, provisioning, and automation. Hands-on with services including EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue, EMR, ElastiCache, CloudWatch, and CodeDeploy., • Infrastructure provisioning expertise using Terraform (advanced techniques), including implementing/configuring AWS RDS and Aurora via Terraform., • Administer, optimize, and support Linux-based environments; ensure high availability (“always on”) for production, CERT, and testing environments., • Database experience with PostgreSQL (including RDS/Aurora) and MongoDB; ability to write automation/operations scripts in Python and Bash. Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning; familiarity with GraphQL., • Provide technical support during software development, including debugging environment-specific issues and partnering with development teams to resolve them. Maintain and monitor asset inventory across environments., • Monitor, troubleshoot, and remediate issues using Splunk and observability/monitoring platforms such as Datadog, Dynatrace, or Grafana. Support cost rationalization efforts; partner with architects to gather, clarify, and translate technical requirements., • Proficient with engineering workflow tools such as Git/BitBucket, Jira, ServiceNow, and pre-commit hooks., • Strong programming skills in Python and Java, including experience with distributed data processing., • Leverage enterprise-authorized AI coding assistant tools to improve code quality and delivery speed (e.g., code generation/refactoring, unit tests, documentation), while validating outputs via peer review, automated testing, and secure coding standards; contribute reusable patterns and learnings to improve team effectiveness. Preferred qualifications, capabilities, and skills • Exposure to cloud platforms (AWS, Azure, and/or GCP)., • Exposure to large language models (LLMs) such as ChatGPT and Google Bard (or similar)., • Exposure to LLM application patterns and tooling, including LangChain, retrieval-augmented generation (RAG), and fine-tuning., • Experience communicating with and engaging senior leadership and other stakeholders., • Preferred: experience building and supporting end-to-end AWS applications, including batch and streaming workloads., • Familiarity with APIs and microservices frameworks, container technologies, and workflow/orchestration tools. 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 ourFAQs for more information about requesting an accommodation. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. #J-18808-Ljbffr

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Technology organization, you will be a core technical contributor on an agile team delivering secure, stable, and scalable technology products that support critical business and client outcomes. You will contribute to system design and engineering execution across backend and distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools. Join a team where your engineering contributions directly impact how we serve clients and drive innovation at scale. At JPMorganChase, you will have the opportunity to grow your career, build meaningful solutions, and collaborate with talented technologists who are passionate about delivering excellence. • Design and deliver robust full-stack solutions using Java/Spring Boot and React/TypeScript, applying sound engineering judgment to meet non-functional requirements including security, resiliency, and performance, and delivering iterative improvements for product teams, • Partner closely with product and UX to understand requirements, refine designs, and deliver intuitive, accessible, and consistent user experiences, • Contribute to end-to-end delivery of features across the software development lifecycle including requirements, design, coding, testing, deployment, and production support, with clear accountability for your outcomes, • Build secure, high-quality, production-ready UI using React, HTML, and CSS, leveraging reusable components, patterns, and libraries for consistency and speed, • Develop backend services and APIs integrating with relational databases and enterprise systems, applying sound data design and SQL practices, and contribute to architecture and design artifacts (e.g., technical designs, diagrams, architecture decision records) ensuring implementation aligns with design constraints and architecture standards, • Contribute to event-driven and streaming architectures using Kafka, including topic design, schema/contract strategy, and resilient producer/consumer patterns, • Support containerized service delivery and operational readiness using Kubernetes, and contribute to CI/CD pipelines and automation, • Build and support scheduled and background processing (e.g., scheduled jobs and batch processing such as Spring Batch) where applicable to platform capabilities, • Support operational stability and reliability by contributing to incident response and root cause analysis, analyzing diverse datasets, logs, and telemetry to identify patterns, build visualizations and reporting, and reduce repeat incidents via preventative controls, automation, and enhanced observability, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and proficient applied experience, • Hands-on experience in system design, application development, testing, and operational stability in a large corporate environment, including event-driven architectures and streaming patterns (Kafka), • Proficiency in Java and building services with Spring Boot, and strong expertise in React with TypeScript to build robust, maintainable frontend applications; strong UI fundamentals with HTML/CSS and responsive design, including experience building reusable components and libraries, • Experience building and consuming APIs (REST and/or GraphQL) and integrating with downstream systems, • Strong experience with relational databases including Oracle and/or PostgreSQL, with solid SQL skills; experience with caching patterns and technologies (e.g., Redis) to improve performance and scalability, • Proficiency in software testing practices (unit, integration, and/or UI testing) to ensure quality and reliability, and active participation in code reviews and constructive feedback practices that promote continuous improvement, • Familiarity with the full software development lifecycle and agile practices, including CI/CD, and hands-on experience with CI/CD pipelines (e.g., Jenkins) and containerized deployment and operations using Kubernetes, • Experience building and supporting scheduled jobs and batch processing workloads (e.g., Spring Batch or equivalent patterns), • Working knowledge of search/indexing concepts, including designing and querying Elasticsearch indexes, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Working knowledge of Python for scripting, automation, or service development, • Experience with .NET, including building and supporting enterprise services and the ability to work across multiple technology stacks, • Knowledge of agentic frameworks such as Google ADK or LangChain, • Familiarity with monitoring, tracing, and troubleshooting tools such as log aggregation platforms, API testing tools, and observability dashboards #J-18808-Ljbffr

About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure—they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures. Description About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure—they need visionary engineering leaders to design, scale, and operationalize the next generation of AI-enabled platforms, intelligence ecosystems, and modern data architectures. As a Technical Programme Manager (Data & Intelligence Engineering) based in the UK, you will serve as the senior delivery authority accountable for the end-to-end execution of multi-million-pound data transformation initiatives across the Banking, Financial Services, and Insurance (BFSI) sectors. The Operating Model You will operate within GlobalLogic’s high-impact leadership model, working in a strategic triad alongside a Client Partner/Sales Lead (commercial growth) and supported by Offshore Delivery Directors (operational execution). You are the primary delivery anchor ensuring technical integrity, operational scale, and commercial profitability. You will serve as the trusted, technical “face of delivery” to C-suite client executives (CDOs, CIOs, CTOs). You will bridge the gap between complex enterprise data strategies—spanning Cloud Migrations, Data Mesh architectures, Real-Time Analytics, and Generative AI/MLOps pipelines—and precise execution across globally distributed engineering pods of 100+ people. The Impact By pairing technical depth with executive gravitas, you will de-risk platform modernisation, ensure strict financial and regulatory governance (e.g., BCBS 239, DORA), drive referenceable client outcomes, and unlock measurable business value through intelligence engineering. Requirements What You Bring to the Role Industry Leadership: 15+ years of experience in Digital Engineering or IT Consulting with strong Banking, Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data engineering. Programme & Delivery Leadership Large-Scale Delivery Track Record: 15+ years in Digital/Data Engineering or IT Consulting, with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centers. Agile Data Operations: Mastery of SDLC, DataOps, and MLOps practices to drive rapid iteration, continuous delivery of data products, and automated testing frameworks. Commercial & Risk Rigour: Strong financial governance (P&L management, margin optimization, commercial risk mitigation) for complex client engagements. Strategic Influence & Communication Executive Advisory: High executive presence to bridge the gap between business strategy and technical execution, serving as a trusted advisor to client C-suite stakeholders (CDO, CIO, CTO). Value & Impact Orchestration: Ability to translate complex data engineering initiatives into measurable business outcomes, ROI, and core performance metrics. Academic Background: Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field preferred. Job responsibilities Delivery & Technical Oversight End-to-End Data Programme Delivery: Drive the full lifecycle of complex data initiatives (Data Lakehouses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with GlobalLogic’s Delivery Framework and client governance. Architecture & Technical Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals for complex data migration, platform modernization, and AI integration initiatives that are commercially sound and technically viable. Data Quality & MLOps Governance: Establish rigorous standards for data quality, data lineage, automated testing, and MLOps/DataOps practices to guarantee model reliability and pipeline performance. Programme Governance & Financial Rigour P&L & Commercial Accountability: Take full financial responsibility for large-scale data programmes (£10M+ annual revenue), optimizing team structures and scope execution to protect and grow delivery margins. Risk & Technical Debt Management: Proactively identify systemic risks—such as data security vulnerabilities, pipeline performance bottlenecks, regulatory non-compliance, and technical debt—mitigating them through clear, metric-driven communication. Regulatory Compliance & Data Ethics: Ensure all delivery frameworks adhere strictly to global data privacy laws (GDPR, CCPA) and financial sector regulatory standards (BCBS 239, DORA, Basel frameworks). Global Leadership & Stakeholder Management Distributed Team Orchestration: Direct and empower distributed cross-functional teams (Data Engineers, Data Scientists, MLOps Engineers, Architects) of 100+ people across global delivery centers, tailoring operating models for maximum throughput. C-Suite Advisory & Business Growth: Serve as the primary delivery escalation point for client C-suite stakeholders (CDO, CIO, CTO). Translate complex data capabilities into tangible business outcomes while identifying high-value expansion opportunities. Engineering Culture & Mentorship: Build a high-performance culture around data engineering best practices, mentoring Project Managers and Technical Leads across the organization. What we offer Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs. You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact uki-careers@globallogic.com. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. #J-18808-Ljbffr

Principal Backend Engineer – JavaLocation: Glasgow (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentArchitect the next generation of financial platforms. Lead with Java expertise. Deliver impact at scale.The RoleWe’re looking for a Principal Backend Engineer (Java) to join our Technology & Engineering team. This leadership-level role calls for deep technical acumen, a security-first mindset, and strong coaching capabilities. You’ll architect cloud-native backend systems, shape our engineering standards, and mentor teams to deliver high-performance platforms for global financial clients.This role will sit in our Scotland office, with a need to potentially work in either Glasgow or Edinburgh depending on client expectations.What You’ll DoLead the design and development of secure, scalable backend systems using Java 11+ and Spring BootArchitect distributed microservices and event-driven systems deployed to public cloud (preferably AWS)Guide technical decision-making across teams and align solutions to enterprise strategiesChampion engineering excellence, continuous improvement, and a test-first cultureCoach developers, shape delivery processes, and influence broader engineering practices across CapcoWhat We’re Looking ForExpertise in Java 11/17+, Spring Boot, and AWS-based enterprise cloud solutionsProven track record architecting secure, scalable services using microservices and CQRS patternsStrong experience in CI/CD pipelines, SQL/NoSQL, Kafka, CloudFormation, and streaming frameworksAdvanced understanding of system security protocols (e.g., OAuth, IAM, TLS, encryption)Leadership capability to manage and mentor teams while driving technology strategyBonus Points ForContributions to thought leadership, mentoring, or RFPs within consultancy or tech environmentsHands-on experience with GitLab CI/CD, Cucumber, and Behaviour Driven DesignAWS Certified Solutions Architect (Associate or Professional)History of delivering large-scale customer-facing applicationsPassion for experimenting with new tools and approaches within backend engineeringWhy Join CapcoDeliver high-impact technology solutions for Tier 1 financial institutionsWork in a collaborative, flat, and entrepreneurial consulting cultureAccess continuous learning, training, and industry certificationsBe part of a team shaping the future of digital financial servicesHelp shape the future of digital transformation across FS & Energy.BenefitsWe offer a competitive, people-first benefits package designed to support every aspect of your life:Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.Continuous Learning: Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.Healthcare Access: Convenient online GP services.Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.Inclusion at CapcoWe’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.#LI-DNI

Data / AI Engineer (Active DV Clerance is required) Hybrid Working Up to £70,000 DOE Permanent Join a growing Defence & National Security practice delivering critical data driven solutions to support high-impact government programmes. This role focuses on leveraging Palantir Foundry and Gotham to transform complex data into trusted, actionable insights for mission-critical environments. You will work at the intersection of data engineering, analytics, and client delivery, collaborating within multi-disciplinary teams to build scalable, production-grade data solutions. Key Responsibilities Data Engineering & Platform Development • Design, build, and maintain robust, scalable data pipelines within Palantir Foundry., • Ingest, transform, and integrate diverse data sources (batch, streaming, real-time, and unstructured) into structured data assets., • Develop and optimise ETL processes and automated workflows to support downstream analytics, AI, and operational use cases., • Architect high-performance data systems, ensuring scalability, reliability, and efficiency., • Leverage advanced Foundry features including artifacts, compute modules, and Ontology frameworks. Client Delivery & Collaboration • Work closely with clients to understand requirements and translate them into technical solutions., • Manage stakeholder relationships and communicate progress and value effectively., • Deliver solutions within Agile environments, collaborating across cross-functional teams. Technical Skills • Strong hands-on experience with:, • Palantir Foundry and/or Gotham, • Data engineering, ETL pipelines, and workflow orchestration, • Proficiency in programming languages such as:, • Python (essential), • TypeScript (desirable) If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. JBRP1_UKTJ

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. • Design and deliver creative software solutions, including development and technical troubleshooting; think beyond conventional approaches to build solutions and break down complex technical problems., • Develop secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability., • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns., • Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation., • Identify recurring issues and lead efforts to eliminate root causes or automate remediation to improve operational stability of applications and systems., • Lead evaluation sessions with external vendors/startups and internal teams to assess architectural designs, technical capabilities, and fit within existing systems and information architecture., • Build scalable feature engineering and data pipelines on Databricks using data lake sources, leveraging Spark/Delta and Databricks workflows/jobs., • Formal training or certification in software engineering concepts with applied experience. Strong CI/CD and release management experience, including best practices and implementation with tools such as Jules, Jenkins, and Spinnaker., • Hands-on DevOps experience with Kubernetes and Docker, including deployment automation and containerized application development., • Deep AWS platform experience across compute, storage, networking, security, provisioning, and automation. Hands-on with services including EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue, EMR, ElastiCache, CloudWatch, and CodeDeploy., • Infrastructure provisioning expertise using Terraform (advanced techniques), including implementing/configuring AWS RDS and Aurora via Terraform., • Administer, optimize, and support Linux-based environments; ensure high availability (“always on”) for production, CERT, and testing environments., • Database experience with PostgreSQL (including RDS/Aurora) and MongoDB; ability to write automation/operations scripts in Python and Bash. Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning; familiarity with GraphQL., • Provide technical support during software development, including debugging environment-specific issues and partnering with development teams to resolve them. Maintain and monitor asset inventory across environments., • Monitor, troubleshoot, and remediate issues using Splunk and observability/monitoring platforms such as Datadog, Dynatrace, or Grafana. Support cost rationalization efforts; partner with architects to gather, clarify, and translate technical requirements., • Proficient with engineering workflow tools such as Git/BitBucket, Jira, ServiceNow, and pre-commit hooks., • Strong programming skills in Python and Java, including experience with distributed data processing., • Leverage enterprise-authorized AI coding assistant tools to improve code quality and delivery speed (e.g., code generation/refactoring, unit tests, documentation), while validating outputs via peer review, automated testing, and secure coding standards; contribute reusable patterns and learnings to improve team effectiveness., • Exposure to cloud platforms (AWS, Azure, and/or GCP)., • Exposure to large language models (LLMs) such as ChatGPT and Google Bard (or similar)., • Exposure to LLM application patterns and tooling, including LangChain, retrieval-augmented generation (RAG), and fine-tuning., • Experience communicating with and engaging senior leadership and other stakeholders., • Preferred: experience building and supporting end-to-end AWS applications, including batch and streaming workloads., • Familiarity with APIs and microservices frameworks, container technologies, and workflow/orchestration tools. 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. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. #J-18808-Ljbffr

Salary: £62,000 - 102,000 per year • Proficiency in Python 3, including type annotations, context managers, generators, and functional programming patterns, • Experience with test-driven or test-heavy development, including unit, integration, and regression testing, • Ability to build and maintain multi-stage data processing pipelines (graph-based, batch, or streaming), • Understanding of security best practices, including input validation and vulnerability remediation, • Experience with agentic AI and prompt engineering, including LLM-based developer agents and workflow orchestration, • Background in financial services, derivatives pricing, market data, or valuation concepts, • Experience with distributed compute or job scheduling systems, • Familiarity with Databricks, Delta Lake, or similar analytics platforms, • Knowledge of reactive or event-driven programming, • Design and develop Python applications within a large mono-repo using proprietary workflows, • Build graph-based data pipelines for valuation adjustment calculations and risk analysis, • Implement independent price verification and valuation adjustment workflows across asset classes, • Develop consensus pricing solutions integrating with external market data providers, • Configure distributed compute, job scheduling, analytics integrations, and cloud storage pipelines, • Write and maintain comprehensive unit, baseline, and parameterized tests, • Investigate and remediate security vulnerabilities; support audit remediation efforts, • Operate with a dry-run-first, confirm-before-modify, audit-everything approach on production systems, • Design and maintain AI developer tooling, including prompt engineering and LLM-assisted code generation, • Agentic AI, • AI, • Cloud, • Databricks, • Support, • LLM, • Python, • Security, • Marketing We are VCGTech, and we collaborate with talented engineers to deliver impactful solutions that drive transparency and trust in global markets. As part of our team, you will help shape the future of financial control technology, grow your skills, and work with cutting-edge technology. This full-time role is part of our Corporate Functions, supporting critical financial control systems and our Independent Revaluation Infrastructure System (IRIS). We are a global leader in financial services, and we value diversity, inclusion, and trusted long-term partnerships while supporting businesses, clients, customers, and employees for success. last updated 36 week of 2026 #J-18808-Ljbffr

Salary: £68,000 - 108,000 per year • Data Engineering experience with Snowflake and Databricks native solutions., • Experience with Snowflake Cortex is required., • Proficiency in Python., • Experience with data processing frameworks like Apache Spark or Hadoop., • Knowledge of database systems, including SQL and NoSQL., • Familiarity with cloud platforms such as AWS and Azure, and their data services., • Understanding of data modeling and data architecture principles., • Experience with data warehousing concepts and technologies., • Experience with message queues and streaming platforms, such as Kafka., • Experience with version control systems, such as Git., • Experience using Jupyter notebooks for data exploration, analysis, and visualization., • Excellent communication and collaboration skills., • Ability to work independently and as part of a geographically distributed team., • 8+ years of experience as a practitioner in data engineering or a related field is generally expected., • Develop and maintain data pipelines and ETL processes., • Work with structured and unstructured data to ensure it is accessible and usable., • Optimize data systems for performance and scalability., • Implement data quality and data governance standards., • Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions., • Provide data-driven insights., • Contribute to documentation and knowledge sharing within our team., • Create and maintain technical documentation and training materials., • Participate in code reviews and contribute to the improvement of development processes., • Contribute to the broader data architecture community through knowledge sharing and presentations., • AI, • AWS, • Azure, • Cloud, • Databricks, • ETL, • Git, • Hadoop, • Jupyter, • Kafka, • NoSQL, • Python, • SQL, • Security, • Snowflake, • Spark, • Support, • Machine Learning We are part of the Architecture & Modernization team and our Technology division, where we leverage innovation to build the connections and capabilities that power our firm. Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with our technology principles and drives efficiency, consistency, controls, security, strong governance, and innovation. This is a Data & Analytics Engineering role at Director level, and we are committed to diversity of thought, inclusion, and building a team that reflects our global community. We offer an environment where our people are supported and empowered, with attractive employee benefits and perks, flexible working opportunities, and the chance to grow across our business in more than 40 countries and 1,200 offices worldwide. last updated 36 week of 2026 #J-18808-Ljbffr

hackajob is partnering directly with BNY Mellon to hire for this role. Were seeking a future team member for the role of Senior Vice President, Full-Stack Engineer to join our Engineering team. This role is located in Manchester. In this role, youll make an impact in the following ways: Drive the evolution of the Enterprise Workflow Engine into a next-generation, multi-agent orchestration platform enabling scalable, intelligent automation across the organisation through BPMN, DMN, and AI-driven execution frameworks. Lead the design and delivery of Workflow Studio and designer capabilities, providing intuitive, AI-assisted tooling for engineers and business users to model, configure, and deploy workflows, decisions, forms, and reusable orchestration components. Architect and deliver advanced platform capabilities, including multi-tenancy, modular and composable components, and abstraction of the underlying workflow engine (e.g., Camunda) to enable extensibility, portability, and enterprise-scale orchestration. Drive delivery excellence across workflow and decisioning platforms, embedding observability, resilience, auditability, and performance at scale, while establishing engineering standards across CI/CD, testing, security, and data architecture. To be successful in this role, were seeking the following: Bachelors or Masters degree in Computer Science, Engineering, or a related discipline (or equivalent practical experience). Deep hands-on expertise in modern engineering stacks, including Java (v17/21), Spring Boot, and building scalable, secure, API-first services combined with the ability to set engineering direction and standards across the platform. Strong experience in workflow and decision engineering, covering BPMN 2.0 orchestration, DMN modelling, and enterprise workflow engines (e.g., Camunda), with the ability to define the strategic evolution toward multi-agent and event-driven orchestration architectures. Full-stack engineering capability with architectural ownership, including front-end (Angular or equivalent), middleware/event streaming (Kafka, JMS, RabbitMQ), and relational data platforms (Oracle/MySQL), enabling end-to-end platform design and optimisation. Proven track record of delivering production-grade platforms, embedding engineering excellence across test automation, CI/CD, observability, resilience, and traceability while driving continuous improvement of SDLC practices at scale. Hands-on technical leader who can actively contribute to solution design and critical builds, while defining strategy, mentoring senior engineers, and scaling high-performing teams aligned to enterprise platform outcomes At BNY, our culture allows us to run our company better and enables employees growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the worlds investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. JBRP1_UKTJ

We are JP Morgan Chase, a global leader in financial services. The Asset Management team offers a full-time Full Stack Software Engineer III role focused on secure, stable, and scalable technology products across multiple areas. We value innovation, excellence, diversity, and inclusion, and build trusted partnerships with clients. The role emphasizes designing and delivering high-quality production code, leveraging AI-assisted tools, and ensuring security and resiliency throughout the SDLC. #J-18808-Ljbffr

Glasgow (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent We’re seeking a Senior Backend Engineer (Java) to join our Technology & Engineering team. You’ll bring expertise in building robust, scalable, cloud-native applications using Java, Spring Boot, and AWS. Working on high-impact platforms for Tier 1 financial institutions, you’ll lead backend design, champion agile best practices, and contribute to the evolution of modern banking technology. This role will sit in our Scotland office, with a need to potentially work in either Edinburgh or Glasgow depending on client expectations. • Design and build microservices-based applications using Java 11+ and Spring Boot, • Deliver enterprise-ready cloud solutions, with a focus on AWS infrastructure and services, • Build and manage robust CI/CD pipelines and ensure secure, scalable deployments, • Write comprehensive tests and implement quality-driven development across the stack, • Collaborate in agile teams and contribute to design decisions, troubleshooting, and continuous improvement, • Deep knowledge of public cloud environments, preferably AWS, • Experience designing cloud-native, microservices, and event-driven architectures, • Strong grasp of CI/CD pipelines, SQL/NoSQL databases, Kafka, and Java Streaming, • Familiarity with infrastructure-as-code (e.g., CloudFormation), distributed systems, and secure design practices, • Experience using GitLab for CI/CD pipelines and Cucumber for BDD test automation, • AWS Certified Solutions Architect (Associate or Professional), • Knowledge of CQRS patterns and performance testing strategies, • Passion for exploring emerging cloud technologies and frameworks, • Experience delivering customer-facing or business-critical applications in finance, • Deliver high-impact technology solutions for Tier 1 financial institutions, • Work in a collaborative, flat, and entrepreneurial consulting culture, • Access continuous learning, training, and industry certifications, • Be part of a team shaping the future of digital financial services, • Help shape the future of digital transformation across FS & Energy., • Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover., • Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders., • Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement., • Family Care: 8 complimentary backup care sessions for emergency childcare or elder care., • Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs., • Continuous Learning: Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development., • Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. #J-18808-Ljbffr

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. The Motorola Solutions 'International Mobile Applications' organisation is responsible for creating the mission critical software solutions which serve emergency first responders across public safety agencies worldwide. The solutions created by this organisation are used by hundreds of thousands of police officers, firefighters and paramedics every day and aim to improve the effectiveness of our emergency services response. The various applications that we build for first responders are deployed across a wide range of different device types and are sophisticated solutions comprising client applications, server applications, web applications and databases. Within the organisation, we are organised into different product groups focusing on different sectors and territories across the world. This specific role is focused on our solution which serves UK Police agencies. Our 'Pronto' team is the largest supplier of mobile police apps in the UK, providing software to half of the UK’s 45 police forces - used by around 70,000 police officers on a daily basis. Based in the West End of Glasgow, we currently have around 80 employees. Our team started as Kelvin Connect in 2002, a spin‑out company from the University of Glasgow. Now, as part of Motorola Solutions, we continue to expand with future opportunities in the UK and beyond. This role will be responsible for leading a team of approximately 8 software engineers, who range from senior to junior level. We are looking for someone who is a very strong software engineer, who may have some previous experience of leading small, agile software engineering teams. As a Software Engineering Manager, you won't just be staring at code; you'll be building the team that writes it. You are responsible for the growth, productivity, and happiness of your engineers. Your goal is to bridge the gap between business objectives and technical execution, ensuring we ship high-quality products while maintaining a healthy, sustainable engineering culture. • People Leadership: Mentor and coach engineers at all levels. You'll handle performance reviews, career mapping, and one-on-ones to ensure everyone has a clear path to promotion., • Delivery & Execution: Own the \"how\" and \"when\". You'll work with Product Managers to define roadmaps, manage sprints, and remove any blockers slowing the team down., • Technical Strategy: While you might not be pushing code daily, you'll participate in design reviews and ensure the team is making scalable architectural decisions., • Recruiting: Actively participate in hiring to scale the team with diverse, high‑caliber talent., • Culture Building: Foster an environment of psychological safety, continuous learning, and \"blame-free\" post‑mortems., • Emotional Intelligence: You can navigate difficult conversations with empathy and clarity., • Technical Depth: You can still \"talk shop\" and understand the implications of $O(n)$ complexity or microservices architecture without needing a refresher., • Operational Excellence: Experience with Agile/Scrum methodologies and a data-driven approach to measuring team velocity and health., • Must be able to attain Non-Police-Personnel-Vetting Level 3 (NPPV3) - which includes the need for a minimum of 3 years UK residency, • A relevant university qualification such as a BSc Computing Science or BSc Software Engineering, • 7+ years of experience in commercial software engineering, • Full stack experience across a variety of technologies including front-end and back-end, • A strong understanding of software design patterns used for architecting and developing high performing, scalable software solutions, • Previous experience architecting and developing server/gateway applications and client/server model communications, • Previous experience of architecting and developing mobile smartphone applications, • Strong communication and collaboration skills, • Experience of leading and managing software development teams, • Previous working experience in an Agile environment (Scrum), • Java and/or Kotlin, • Struts and Sprint Boot, • REST APIs, • SQL (preferably MSSQL), • Vue, Angular, React, HTML/CSS, • AndroidX, Compose, Room, • Gradle CI/CD using GitHub Actions, • XML processing, XSLT, Saxon, JAXB, • Distributed event streaming platforms (Azure Event Hubs, Apache Kafka), • OAuth 2.0, OpenID Connect, JWT, • Google Web Toolkit (GWT), Kotlin multiplatform, • Competitive salary and bonus schemes, • Two weeks additional pay per year (holiday bonus), • 25 days holiday entitlement + bank holidays, • Attractive defined contribution pension scheme, • Private medical insurance, • Employee stock purchase plan, • Flexible working options, • Life assurance, • Enhanced maternity and paternity pay, • Career development support and wide ranging learning opportunities, • Employee health and wellbeing support EAP, wellbeing guidance etc, • Carbon neutral initiatives/goals, • Corporate social responsibility initiatives including support for volunteering days, • Well known companies discount scheme #LI-DJ1, • Under 10%, • Relocation Provided None Experienced Yes Motorola Solutions UK Limited Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team. At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Learn more at www.motorolasolutions.com. #J-18808-Ljbffr

Senior Java Software Engineer - Equity Swaps Technology Location: Glasgow (Hybrid - 2 days per week in the office) Industry: Global Investment Bank A leading global financial institution is seeking a Senior Java Software Engineer to join a distributed technology group delivering a high-profile lifecycle engine platform. Supporting the trading activity of major institutional clients and hedge funds, this team is responsible for driving high-performance, real-time trade processing systems for Equity Swaps and related derivative products. Key Responsibilities Design and build core lifecycle components, including a modern, real-time data streaming platform. Partner with Architecture, Product, QA, and Business Analysis teams to deliver scalable solutions that optimise full front-to-back business workflows. Participate in Agile ceremonies, refine requirements, and leverage modern AI tooling (such as Claude Code, GitHub Copilot, or similar developer agents) into daily engineering tasks. Work closely with Production Management (APS) to enable frequent, fully automated deployments while maintaining platform stability and resilience. Ensure all solutions are robust, well-documented, highly observable, and backed by comprehensive automated testing. Required Experience & Technical Skills Core Engineering: 8+ years of commercial software development experience with strong expertise in multi-threaded Java (Java 17/21) and Spring Boot. AI-Assisted Development: Experience leveraging agentic AI tools (e.g., Claude Code, Cursor, or AI-assisted coding CLI workflows) to accelerate code generation, refactoring, and daily execution. Message-Driven Architecture: Hands-on experience with Kafka, Apache Flink, or equivalent real-time event-streaming platforms. Containers & Data: Proficiency with Docker, Kubernetes, and relational databases (MS SQL, Sybase). Delivery Automation & Monitoring: Strong focus on automated testing, automated release pipelines, and observability tools (Grafana, Prometheus). Mindset: Delivery-focused problem solver with a hands-on approach and strong stakeholder communication skills. Desirable Experience Background in Equity Swaps processing, Equity Derivatives, or general front-to-back banking operations (not essential, but beneficial). JBRP1_UKTJ

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Electrical Supervisor – Rail Industry.We are currently recruiting for an experienced.This is an excellent opportunity for a skilled electrical professional with rail experience to secure a long-term position working on a major project.As Electrical Supervisor, you will be responsible for overseein

We are seeking a highly organized and motivated Junior Project Manager to support the planning, execution, and delivery of projects.In this role, you will assist in coordinating project activities, managing timelines, and ensuring effective communication among stakeholders.This is an excellent oppor

At MBO we give people the control to do the work they love the way they want.We’re leading the future of work by building a best-in-class platform for independent professionals and leading enterprise organizations.MBO Partners is a deep job platform that connects and enables independent profession

NET Developer - Fastest Growing Social Media Firm – Glasgow.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect,.Our client is on a quest to transform how people discover, view and share content by c

A leading consultancy is seeking is seeking a highly experienced independent management consultant to support future Government Commercial Agency (GCA) Consultancy and Professional Services framework submissions.This is a specialist assignment for a fractional, interim or contract consultant.It is n

We’re partnered with a boutique ServiceNow Consultancy looking to hire a ServiceNow Engagement / Project Manager to add to the existing team.You will be responsible for leading client engagements, driving successful ServiceNow implementations and elements of customer success.You will be the primar

Mintra has been at the forefront of digital transformation in learning, competency, and Human Capital Management (HCM) systems for the Energy and Maritime sectors since 1997.Serving over 3,600 companies, including 4 of the top 5 energy majors, Mintra supports the development of people, regulatory co