Purpose of the role
To design, develop and improve software, utilising various engineering
methodologies, that provides business, platform, and technology capabilities
for our customers and colleagues.
Accountabilities
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Development and delivery of high-quality software solutions by using
industry aligned programming languages, frameworks, and tools. Ensuring that
code is scalable, maintainable, and optimized for performance.
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Cross-functional collaboration with product managers, designers, and other
engineers to define software requirements, devise solution strategies, and
ensure seamless integration and alignment with business objectives.
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Collaboration with peers, participate in code reviews, and promote a culture
of code quality and knowledge sharing.
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Stay informed of industry technology trends and innovations and actively
contribute to the organization’s technology communities to foster a culture
of technical excellence and growth.
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Adherence to secure coding practices to mitigate vulnerabilities, protect
sensitive data, and ensure secure software solutions.
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Implementation of effective unit testing practices to ensure proper code
design, readability, and reliability.
Analyst Expectations
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To perform prescribed activities in a timely manner and to a high standard
consistently driving continuous improvement.
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Requires in-depth technical knowledge and experience in their assigned area
of expertise
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Thorough understanding of the underlying principles and concepts within the
area of expertise
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They lead and supervise a team, guiding and supporting professional
development, allocating work requirements and coordinating team resources.
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If the position has leadership responsibilities, People Leaders are expected
to demonstrate a clear set of leadership behaviours to create an environment
for colleagues to thrive and deliver to a consistently excellent standard.
The four LEAD behaviours are: L – Listen and be authentic, E – Energise and
inspire, A – Align across the enterprise, D – Develop others.
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OR for an individual contributor, they develop technical expertise in work
area, acting as an advisor where appropriate.
- Will have an impact on the work of related teams within the area.
- Partner with other functions and business areas.
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Takes responsibility for end results of a team’s operational processing and
activities.
- Escalate breaches of policies / procedure appropriately.
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Take responsibility for embedding new policies/ procedures adopted due to
risk mitigation.
- Advise and influence decision making within own area of expertise.
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Take ownership for managing risk and strengthening controls in relation to
the work you own or contribute to. Deliver your work and areas of
responsibility in line with relevant rules, regulation and codes of conduct.
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Maintain and continually build an understanding of how own sub-function
integrates with function, alongside knowledge of the organisations products,
services and processes within the function.
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Demonstrate understanding of how areas coordinate and contribute to the
achievement of the objectives of the organisation sub-function.
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Make evaluative judgements based on the analysis of factual information,
paying attention to detail.
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Resolve problems by identifying and selecting solutions through the
application of acquired technical experience and will be guided by
precedents.
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Guide and persuade team members and communicate complex / sensitive
information.
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Act as contact point for stakeholders outside of the immediate function,
while building a network of contacts outside team and external to the
organisation.
All colleagues will be expected to demonstrate the Barclays Values of Respect,
Integrity, Service, Excellence and Stewardship – our moral compass, helping us
do what we believe is right. They will also be expected to demonstrate the
Barclays Mindset – to Empower, Challenge and Drive – the operating manual for
how we behave.
Join us as a Software Engineer – Confluent Kafka on IBM Z-Linux at
Barclays, where you'll spearhead the evolution of our digital landscape,
driving innovation and excellence. You'll harness cutting-edge technology to
revolutionize our digital offerings, ensuring unapparelled customer
experiences.
To be a successful Software Engineer – Confluent Kafka on IBM Z-Linux, you
should have experience with:
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Design, build, configure, and operate enterprise‑grade event streaming
platforms using Confluent Kafka, including brokers, ZooKeeper / KRaft
mode, Schema Registry, and Kafka Connect, ensuring high availability,
resilience, performance, and compliance with Barclays UK standards.
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Owning end‑to‑end delivery and operational excellence of Kafka‑centric and
infrastructure platforms, with strong engineering accountability.
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Provide deep technical expertise on Linux on IBM Z platforms, including
z/OS and zLinux, with a solid understanding of mainframe architecture,
system integration patterns, and hybrid platform interoperability within
regulated enterprise environments.
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Lead and implement advanced automation using Ansible, including the design
and maintenance of playbooks, roles, custom modules, inventories, and
Ansible Vault, to enable repeatable, secure, and scalable infrastructure
operations.
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Develop and maintain automation and operational tooling using Python,
Bash, and Shell scripting, driving efficiency, consistency, and reduction
of manual operational effort across platform and infrastructure services.
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Ensure platform health, observability, and proactive issue detection
through effective use of monitoring and observability tooling, such as
Confluent Control Center, Prometheus, Grafana, and Esaas, with a strong
focus on availability, performance, and service resilience.
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Apply Infrastructure‑as‑Code (IaC) and GitOps principles, leveraging
GitLab for source control, CI/CD automation, change governance, and
auditability, ensuring all platform changes are traceable, repeatable, and
compliant with internal control requirements.
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Collaborate closely with application, security, and operations teams to
ensure platforms are secure by design, operationally robust, and aligned
with Barclays UK risk, resilience, and regulatory obligations.
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Contribute to continuous improvement of engineering standards, automation
patterns, and operational run‑books, sharing knowledge and best practices
across the wider engineering community.
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Strong hands‑on coding capability with a consistent focus on clean code,
testability, performance, and maintainability.
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Contribute directly to production‑grade codebases and review peer code to
enforce Barclays engineering standards and quality gates.
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Deliver software using Agile methodologies, actively participating in
sprint planning, reviews, retrospectives, and continuous improvement.
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Champion engineering discipline, automation, and data‑driven decision
making across delivery cycles.
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Strong familiarity with modern developer tooling including GitLab,
DevSecOps pipelines, and secure CI/CD practices.
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Hands‑on experience with: Docker Desktop for local containerized
development, IntelliJ IDEA or equivalent enterprise IDEs and Secure source
control, branching strategies, and automated quality gates.
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Drive a test‑first, quality‑driven engineering culture with hands‑on
experience in: Contract Testing (PACT) for consumer‑provider assurance,
Unit Testing (JUnit) and integration testing, Performance & load
testing (JMeter) and Mutation testing to validate test effectiveness.
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Ensure test coverage and automation are embedded into CI/CD pipelines, not
treated as post‑delivery activities.
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Working knowledge of AWS services relevant to event‑driven and streaming
workloads.
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Experience deploying and operating workloads on Kubernetes (K8s), including
container orchestration and scaling concepts.
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Demonstrate strong awareness and practical adoption of AI‑assisted
engineering practices with AI coding assistants (e.g., Claude Code,
GitLab Duo, Copilot or equivalent) to support code generation, refactoring,
documentation, and test creation, while retaining engineering judgement and
accountability.
Some other highly valued skills may include:
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Act as a senior individual contributor (ICE), owning end‑to‑end
delivery and operational excellence of Kafka‑centric and infrastructure
platforms, with minimal supervision and strong engineering accountability.
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Work effectively within Agile/Scrum delivery models, using Jira for backlog
management, delivery tracking, and sprint execution.
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Apply strong analytical and troubleshooting skills to diagnose and resolve
complex issues in distributed, event‑driven systems.
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Demonstrate excellent verbal and written communication, producing clear
architecture designs, decision records, and technical documentation.
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Collaborate closely with cross‑functional teams (engineering, DevOps,
security, architecture) to deliver integrated, enterprise‑ready solutions.
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Exhibit strong ownership, self‑drive, and innovation mindset, staying
current with cloud‑native technologies and modern engineering best
practices.
Some other highly valued skills include:
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Demonstrable experience on working with Apache Kafka or the Confluent
Platform, including hands‑on involvement in building, operating, and
supporting event‑streaming solutions within enterprise environments.
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Hands‑on experience with Ansible automation, including developing,
maintaining, and executing playbooks and roles to enable reliable,
repeatable, and scalable infrastructure operations.
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Practical experience working within mainframe or zLinux environments, with
an understanding of platform characteristics, operational considerations,
and integration within broader enterprise technology landscapes.
You may be assessed on the key critical skills relevant for success in role,
such as risk and controls, change and transformation, business acumen
strategic thinking and digital and technology, as well as job-specific
technical skills.
This role will be based out of our Bengaluru.