Jobs at Capco

Lead end-to-end delivery of large, complex technical epics and engineering initiatives. Manage engineering teams, dependencies, risks, milestones, releases, governance, and stakeholder communications. Partner with engineering, architecture, product, business, and delivery teams to ensure predictable, high-quality outcomes. Facilitate Agile practices, resolve impediments, establish accountability, and translate technical information into business insights. Experience delivering AI, machine learning, cloud, data, API, or enterprise-scale initiatives is advantageous.

Design and lead end-to-end Java solutions for complex payment products. Responsibilities include defining scalable, secure, resilient distributed architectures; designing microservices, APIs, integrations, and event-driven systems; guiding engineering teams; reviewing designs and code; setting technical standards; and collaborating with product, engineering, mobile, DevOps, security, business, and senior client stakeholders.

Leads technical product management and business analysis for payment products, covering requirements discovery, user stories, acceptance criteria, backlog prioritization, and delivery. Translates business needs into functional and technical requirements while coordinating with business, engineering, architecture, and senior client stakeholders. Requires strong payments-domain expertise, API and integration knowledge, Agile delivery experience, and stakeholder management. Mobile application development program leadership across Android and iOS is preferred.

Develop and maintain scalable Java backend applications using Spring Boot, microservices, and REST APIs. Own features through design, development, testing, deployment, and production support. Collaborate with product, architecture, mobile, QA, and DevOps teams; participate in code reviews, troubleshooting, root cause analysis, and technical design discussions. Contribute to secure, resilient, maintainable services, coding standards, engineering best practices, and continuous improvement.

Lead the architecture, development, testing, release, and production support of scalable Android and iOS applications. Make technical decisions, establish engineering standards, conduct code reviews, mentor mobile developers, resolve performance and stability issues, and collaborate with Product, Design, QA, Backend, and DevOps teams. Drive secure coding, CI/CD, monitoring, release management, technical planning, and mobile technology roadmaps.

Develop and maintain scalable Android applications using Kotlin and Java. Own features from design through production release, contribute to architecture and coding standards, write testable code, participate in reviews, collaborate with Product, Design, QA, and Backend teams, and resolve performance, stability, and security issues.

Leads the design and development of scalable Java backend applications using Spring Boot, microservices, and REST APIs. Provides architectural and technical leadership, mentors engineers, drives coding standards, and oversees initiatives from design through production support. Collaborates with product, architecture, QA, DevOps, and engineering teams while resolving complex technical issues and performance bottlenecks. Preferred experience includes payments or fintech, Kafka, databases, cloud platforms, Kubernetes, security, CI/CD, and mobile application backends.

Leads the design, development, integration, and enhancement of IDEs and developer tooling. Responsibilities include building plugins and extensions, improving developer productivity and software delivery workflows, integrating code analysis, debugging, testing, source control, CI/CD, DevOps, security, and observability tools, and making architecture decisions. The role provides technical leadership, mentoring, code review guidance, and drives reusable tooling and engineering standards across development teams.

Design and develop a scalable automated securities finance platform using Java, Spring, microservices, distributed systems, containers, SQL, AWS, messaging, and caching technologies. Build enterprise applications, optimize high-volume transactional data models and queries, integrate with existing workflows, and collaborate with developers, analysts, QA, and operations teams.

Senior Business Analyst responsible for payments implementation and transformation programs. Leads requirements gathering, process analysis, solution design, testing, stakeholder management, payment hub integrations, messaging transformations, clearing and payment rail initiatives, exception handling, reconciliation, and integration specifications. Requires deep hands-on payments expertise, including ISO 20022, SWIFT MT, payment lifecycle operations, system orchestration, and clearing integrations.

Develop, test, and maintain Python- and SQL-based data pipelines and ETL/ELT processes on Google Cloud Platform. Build BigQuery transformations, support data warehouse modeling, troubleshoot data quality issues, document solutions, and collaborate with engineers and analysts. The role requires strong GCP data engineering experience, including BigQuery and Pub/Sub, with preferred experience in Cloud Composer, Dataflow, Cloud Functions, Git, and Google Cloud certification.

Administer and optimize Cloudera CDP/CDH environments and enterprise data-processing workloads. Develop PySpark and Python solutions, build CI/CD pipelines with Jenkins and Git repositories, integrate security and code-quality tools, optimize Hive and Impala SQL, monitor platform health, perform upgrades, troubleshoot issues, and implement security, access management, governance, and high-availability practices.

Leads end-to-end delivery of complex technical epics and engineering initiatives across multiple teams. Responsibilities include planning, estimation, dependency and risk management, Agile delivery, governance, stakeholder communication, milestone tracking, and executive reporting. The role requires strong software development lifecycle knowledge, engineering delivery experience, and the ability to translate technical issues into business outcomes. Experience with AI, Generative AI, Machine Learning, cloud, data, API, or enterprise-scale initiatives is advantageous.

Design, develop, and maintain scalable Java backend applications, REST APIs, microservices, and event-driven services using Spring, Kafka, and Oracle. Optimize performance, security, reliability, and database queries; participate in architecture discussions, code reviews, testing, CI/CD, troubleshooting, and root cause analysis. Collaborate with product, architecture, QA, and frontend teams to deliver enterprise-grade solutions from design through deployment and support.

Design and develop a scalable automated locates platform for securities finance using Java, Spring, microservices, distributed systems, containers, AWS, SQL, caching, and messaging technologies. Build high-performance enterprise applications, optimize transactional data models and queries, integrate real-time processing systems, and collaborate with development, business analysis, QA, and operations teams.

Lead end-to-end delivery of production-grade ML, Generative AI, and RAG solutions across multiple pods. Develop architecture-aligned delivery plans, manage dependencies, risks, releases, NFRs, and production readiness, while representing teams in senior governance forums. Guide ML versus GenAI decisions, RAG implementation, evaluation, guardrails, security, monitoring, and responsible model usage. Translate technical requirements into actionable epics and stories and ensure measurable business outcomes.

Analyze transaction management and post-trade processes supporting T+1 delivery. Document requirements, process maps, operational impacts, runbooks, SOPs, controls, exception workflows, and readiness plans. Prepare testing scenarios, validate coverage, log defects, and coordinate retesting. Assess dependencies across custody, settlements, asset servicing, FX, liquidity, and client funding while supporting stakeholder workshops, risk analysis, stabilization, and transformation documentation.

Lead business analysis for insurance-domain transformation programs: gather requirements, consult on processes and customer onboarding, optimize workflows, work with cross-functional teams, manage senior stakeholders, and apply CRM (Salesforce) knowledge. Familiarity with transformation delivery lifecycles, operating models, and governance (HSBC experience preferred). Strong communication and analytical skills required for fast-paced enterprise environments.

Build, manage, and automate scalable GCP infrastructure using Terraform. Provision core GCP services, develop CI/CD pipelines, implement monitoring and security best practices, collaborate with data engineers, and continuously improve platform reliability and automation under the platform lead.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.