CrawlJobs Logo
Barclays Logo Barclays · IT - Software Development

Software Engineer–Confluent Kafka on AWS

India, Bengaluru · Job Posted April 16, 2026
Apply Position
Job Link Share

Job Description

Join us as a Software Engineer–Confluent Kafka on AWS 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. The ideal candidate will have expertise in cloud-native technologies, distributed streaming platforms, Kubernetes orchestration, and multi-region architecture patterns.

Job Responsibility

  • 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
  • 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
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
  • 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
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability

Requirements

  • Design, deploy, and operate production‑grade Confluent Kafka platforms, including Kafka brokers, Schema Registry, Kafka Connect, ksqlDB, and REST Proxy, ensuring high availability, scalability, and secure data streaming across domains
  • Engineer and manage cloud‑native workloads on Amazon EKS, including cluster configuration, workload deployment, upgrades, scaling, and operational support in line with Barclays engineering and security standards
  • Apply deep working knowledge of Kubernetes primitives and patterns, including StatefulSets, operators, persistent volumes, services, ingress, and Kubernetes networking, to support stateful and distributed platforms
  • Build and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation, enabling repeatable, auditable, and compliant provisioning of cloud and platform resources
  • Demonstrate strong understanding of AWS core services (such as EC2, VPC, IAM, S3, EKS, CloudWatch, Route53), and apply cloud‑native design principles to achieve scalability, resilience, and cost efficiency
  • Implement and support containerisation standards using Docker, container registries such as Amazon ECR, and container security practices aligned with enterprise and regulatory expectations
  • Contribute to the design and operation of multi‑region architectures, supporting active‑active or active‑passive deployment models to meet availability, resilience, and disaster recovery objectives
  • Develop and maintain automation and operational tooling using Python, Bash, or Go, supporting platform automation, diagnostics, CI/CD integration, and operational efficiency
  • Design, develop, and operate event‑driven architectures (EDA) using industry‑standard messaging and streaming platforms, ensuring high throughput, low latency, and resilience
  • Provide deep expertise in stream processing concepts including event ordering, partitioning, replay, schema evolution, and exactly‑once/at‑least‑once semantics
  • Demonstrated, hands‑on expertise with Confluent Kafka ecosystem including topics, partitions, producers/consumers, schema registry, connectors, and operational best practices
  • Build and maintain stream‑processing applications using Kafka Streams, applying stateful and stateless processing patterns to support real‑time business events and data enrichment use‑cases
  • Strong hands‑on coding capability with a consistent focus on clean code, testability, performance, and maintainability
  • Contribute directly to production‑grade codebases and review peer code to enforce Barclays engineering standards and quality gates
  • Deliver software using Agile methodologies, actively participating in sprint planning, reviews, retrospectives, and continuous improvement
  • Champion engineering discipline, automation, and data‑driven decision making across delivery cycles
  • Strong familiarity with modern developer tooling including GitLab, DevSecOps pipelines, and secure CI/CD practices
  • 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
  • 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), Mutation testing to validate test effectiveness
  • Ensure test coverage and automation are embedded into CI/CD pipelines, not treated as post‑delivery activities
  • Experience deploying and operating workloads on Kubernetes (K8s), including container orchestration and scaling concepts
  • 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
  • Act as a individual contributor engineer (ICE), owning end‑to‑end delivery, stability, and operational resilience of platform and infrastructure components with minimal supervision and strong engineering accountability
  • Work effectively within Agile/Scrum delivery models, using Jira for backlog management, delivery tracking, and sprint execution
  • Apply strong analytical and troubleshooting skills to diagnose and resolve complex issues in distributed, event‑driven systems
  • Demonstrate excellent verbal and written communication, producing clear architecture designs, decision records, and technical documentation
  • Collaborate closely with cross‑functional teams (engineering, DevOps, security, architecture) to deliver integrated, enterprise‑ready solutions
  • Exhibit strong ownership, self‑drive, and innovation mindset, staying current with cloud‑native technologies and modern engineering best practices

What we offer

  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
Barclays - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Software Engineer–Confluent Kafka on AWS

8 matching positions

Software Engineer – Confluent Kafka Management

Join us as a Software Engineer – Confluent Kafka Management at Barclays, where y...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Design, develop, and operate event‑driven architectures (EDA) using industry‑standard messaging and streaming platforms, ensuring high throughput, low latency, and resilience
  • Provide deep expertise in stream processing concepts including event ordering, partitioning, replay, schema evolution, and exactly‑once/at‑least‑once semantics
  • Act as a technical authority for streaming and EDA design decisions across delivery teams
  • Demonstrated, hands‑on expertise with Confluent Kafka ecosystem including topics, partitions, producers/consumers, schema registry, connectors, and operational best practices
  • Drive platform stability, performance tuning, capacity planning, and incident management for Kafka‑centric systems in line with BUK Service First and SRE principles
  • Lead the design, deployment, and operation of containerised applications on Amazon EKS, ensuring secure, scalable, and highly available Kubernetes clusters
  • Drive Ansible‑led automation strategies across cloud and streaming platforms, enabling repeatable, policy‑driven configuration, operational resilience, and DevOps efficiency while aligning with BUK security, risk, and compliance standards
  • Demonstrate advanced Kubernetes expertise, including operators, StatefulSets, persistent volumes, services, ingress controllers, and cluster networking, supporting stateful and stateless workloads
  • Establish best practices for cluster lifecycle management, upgrades, observability, and cost optimization across environments
  • Architect and operate cloud‑native solutions with deep hands‑on expertise across AWS core services
Job Responsibility
Job Responsibility
  • 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
  • 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
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
  • 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
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • 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
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Health and wellness access to wellness rooms, gyms and mental health support
  • A place where you can belong
  • Collaborative Areas
  • More than work
  • Fulltime
Read More
Arrow Right

Software Engineer – Confluent Kafka on IBM Z-Linux

Join us as a Software Engineer – Confluent Kafka on IBM Z-Linux at Barclays, whe...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
  • Owning end‑to‑end delivery and operational excellence of Kafka‑centric and infrastructure platforms, with strong engineering accountability
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Contribute to continuous improvement of engineering standards, automation patterns, and operational run‑books, sharing knowledge and best practices across the wider engineering community
  • Strong hands‑on coding capability with a consistent focus on clean code, testability, performance, and maintainability
Job Responsibility
Job Responsibility
  • 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
  • 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
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
  • 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
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Health and wellness access to wellness rooms, gyms and mental health support
  • A place where you can belong
  • Collaborative Areas
  • More than work
  • Fulltime
Read More
Arrow Right

Senior Software Engineer II

We’re not just building better tech. We’re rewriting how data moves and what the...
Location
Location
United Kingdom
Salary
Salary:
Not provided
confluent.io Logo
Confluent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS, or PhD in computer science or a related field, or equivalent work experience
  • 6+ years of relevant cloud infrastructure/cloud networking experience
  • Strong fundamentals in distributed systems design and development
  • Experience building and operating large-scale systems
  • Solid understanding of basic systems operations (disk, network, operating systems, etc)
  • A self-starter with the ability to work effectively in teams
  • Proficiency in Go, Python, C++, or other statically typed languages
  • Experience/knowledge with public clouds (AWS, Azure or GCP)
Job Responsibility
Job Responsibility
  • Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization
  • Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus
  • As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product
  • You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud
What we offer
What we offer
  • Remote-First Work
  • Robust Insurance Benefits
  • Flexible Time Away
  • The Best Teammates
  • Experience Ambassadors
  • Open and Honest Culture
  • Well-Being and Growth
Read More
Arrow Right

Senior Software Engineer

We’re not just building better tech. We’re rewriting how data moves and what the...
Location
Location
United Kingdom
Salary
Salary:
Not provided
confluent.io Logo
Confluent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS, or PhD in computer science or a related field, or equivalent work experience
  • 4+ years of relevant cloud infrastructure/cloud networking experience
  • Strong fundamentals in distributed systems design and development
  • Experience building and operating large-scale systems
  • Solid understanding of basic systems operations (disk, network, operating systems, etc)
  • A self-starter with the ability to work effectively in teams
  • Proficiency in Go, Python, C++, or other statically typed languages
  • Experience/knowledge with public clouds (AWS, Azure or GCP)
Job Responsibility
Job Responsibility
  • Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization
  • As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product
  • You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud
What we offer
What we offer
  • Remote-First Work
  • Robust Insurance Benefits
  • Flexible Time Away
  • The Best Teammates
  • Experience Ambassadors
  • Open and Honest Culture
  • Well-Being and Growth
  • Offers Equity
  • Fulltime
Read More
Arrow Right

Senior Software Engineer II

We’re not just building better tech. We’re rewriting how data moves and what the...
Location
Location
India
Salary
Salary:
Not provided
confluent.io Logo
Confluent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 8 years of relevant experience
  • Experience in architecting, designing, and developing highly scalable and performant backend services
  • Proficiency in a major programming language e.g.Go,Java, C / C++, etc.
  • Experience of working on Kubernetes, Public Clouds - AWS, GCP, & Azure
  • Familiarity with Kafka, Streaming, SaaS platform development
  • Deep knowledge of designing distributed systems in the Cloud
  • Experience in running production services in Public Clouds, with a drive towards quality, accuracy, and operational excellence
  • Strong problem-solving and analytical/critical thinking skills with attention to details
  • A strategic engineer who constantly thinks of operational improvements of the service to meet availability and performance SLA
  • Comfortable with troubleshooting technical issues across services and multi-level technical stacks that includes microservices, containers, and virtualization
Job Responsibility
Job Responsibility
  • Build accurate, reliable, scalable, and functionally rich systems in the cloud to support usage-based billing and pricing in the cloud that powers Confluent’s revenue across all products and global markets
  • Work on business-critical flows from ideation to completion by closely collaborating with Product Managers, different engineering and business teams
What we offer
What we offer
  • Remote-First Work
  • Robust Insurance Benefits
  • Flexible Time Away
  • The Best Teammates
  • Experience Ambassadors
  • Open and Honest Culture
  • Well-Being and Growth
Read More
Arrow Right

Staff Software Engineer I - Internal Access Management

We are seeking a Staff Software Engineer to lead the technical vision, architect...
Location
Location
Salary
Salary:
225100.00 - 264500.00 CAD / Year
confluent.io Logo
Confluent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of engineering experience
  • 4+ years in security, IAM, or distributed systems
  • Deep expertise in Kubernetes, workload identity, cloud IAM (AWS, GCP, Azure), and zero-trust architectures
  • Strong understanding of authentication technologies: IAM, OAuth2, OIDC, policy engines, and modern zero-trust principles
  • Proven track record leading multi-team technical initiatives at a Staff or Senior Staff level
  • Strong knowledge of distributed systems, cloud infrastructure, container orchestration, and service mesh
  • Excellent communication and stakeholder-influence skills across engineering and security domains
Job Responsibility
Job Responsibility
  • Define and drive the long-term architecture and roadmap for Internal Access Management across Kubernetes and multi-cloud environments
  • Architect and implement least privilege, just-in-time access, and zero-trust models across Confluent services
  • Build and evolve scalable access-authorization workflows and lifecycle management systems using technologies such as SPIFFE/SPIRE, OPA, cloud IAM policies, workload identity, and internal enforcement engines
  • Strengthen security boundaries through threat modeling, defense-in-depth practices, and comprehensive access-auditing capabilities
  • Partner with cross-functional teams—including Platform, Kafka, Observability, Developer Productivity, Release Engineering, and SRE—to drive adoption of secure identity and access patterns
  • Mentor senior engineers, elevate engineering standards, and influence architectural decisions across the organization
  • Communicate complex technical decisions clearly and align stakeholders across engineering and security
What we offer
What we offer
  • Remote-First Work
  • Robust Insurance Benefits
  • Flexible Time Away
  • The Best Teammates
  • Experience Ambassadors
  • Open and Honest Culture
  • Well-Being and Growth
  • Offers Equity
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - GM Motorsports

GM’s Motorsports IT team will analyze, define, and deliver the next generation o...
Location
Location
United States , Austin, Texas; Concord, North Carolina
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 7 years of professional software development experience
  • Excellent technical knowledge of Python and web frameworks (e.g., Flask, Django)
  • Experience with front end frameworks like Angular/React
  • Experience with event streaming and message brokers (e.g., Kafka, Event Hubs Confluent)
  • Experience with cloud infrastructure (e.g., AWS, Azure, or GCP)
  • Experience deploying, maintaining, supporting containerized applications (Docker, Kubernetes)
  • Experience with SQL and NoSQL database technologies (Postgres, MongoDB, Redis)
  • Proven ability to write maintainable, testable and reusable code
  • Self-starter mindset with the ability to quickly learn and adapt to existing software ecosystems
  • Experience with Agile development methodologies
Job Responsibility
Job Responsibility
  • Build web applications using Python, AngularJS, and SQL and other modern technologies to support race day operations
  • Update existing software and/or develop new software solutions to address a specific need or solve a particular business problem
  • Write high-quality code using systematic, repeatable development practices
  • Diagnose and resolve software issues related to code quality, security vulnerabilities, frameworks and usability
  • Collaborate closely with peers to align code with established design patterns while continuously developing your own technical skills
  • Integrate new applications seamlessly with our existing systems and infrastructure
  • Automate unit and end-to-end testing to ensure software quality, reliability, and ease of maintenance
  • Mentor and guide fellow software developers to elevate the team's overall capability
  • Optimize system performance, assess usability, document processes, and uphold rigorous technical standards
  • Manage build and release automation to ensure smooth, continuous delivery
What we offer
What we offer
  • This job may be eligible for relocation benefits
  • Fulltime
Read More
Arrow Right

Data Engineer

This is a data engineer position - a programmer responsible for the design, deve...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-8 years of experience in working in data eco systems
  • 4-5 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
  • 3+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
  • Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
  • Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
  • Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
  • Experienced in working with large and multiple datasets and data warehouses
  • Experience building and optimizing 'big data' data pipelines, architectures, and datasets
  • Strong analytic skills and experience working with unstructured datasets
  • Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Job Responsibility
Job Responsibility
  • Ensuring high quality software development, with complete documentation and traceability
  • Develop and optimize scalable Spark Java-based data pipelines for processing and analyzing large scale financial data
  • Design and implement distributed computing solutions for risk modeling, pricing and regulatory compliance
  • Ensure efficient data storage and retrieval using Big Data
  • Implement best practices for spark performance tuning including partition, caching and memory management
  • Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins)
  • Work on batch processing frameworks for Market risk analytics
  • Promoting unit/functional testing and code inspection processes
  • Work with business stakeholders and Business Analysts to understand the requirements
  • Work with other data scientists to understand and interpret complex datasets
  • Fulltime
Read More
Arrow Right