Senior Full stack Engineer

Position Responsibilities

As a Senior Software Engineer in Java , you will:

·        Lead hands-on architecture, design, and implementation of agentic applications, AI-powered services, and platform capabilities from concept through production

·        Define engineering patterns and best practices for production AI systems, including evaluation, monitoring, guardrails, resiliency, cost control, and rollback strategies

·        Drive end-to-end software delivery across the SDLC, from discovery and prototyping to testing, release, and production operations

·        Use engineering tools to accelerate design, coding, testing, documentation, troubleshooting, and delivery while maintaining strong engineering judgment and code quality standards

·        Champion an AI-enabled SDLC by improving developer workflows, automation, test generation, code review quality, release confidence, and team productivity

·        Partner closely with Product, Applied AI, Data Science, and business stakeholders to translate ambiguous opportunities into scalable product capabilities

·        Provide technical leadership through architectural decisions, design reviews, code reviews, hands-on contribution, and mentoring of engineers across the team

·        Build highly available, secure, and maintainable cloud-native services with strong observability, performance, and operational readiness

·        Shape technical roadmaps, identify short- and long-term platform needs, and influence architecture choices that enable scale, reuse, and faster delivery

·        Collaborate across teams and business units to solve complex business and engineering problems with practical, high-impact solution

·        Keep senior stakeholders informed of progress, risks, trade-offs, and implementation decisions in a clear and concise manner

Requirements

Ideal Candidate Qualifications:

•        Strong software engineering experience building scalable, secure, maintainable production systems, including experience leading complex technical initiatives end to end

•        Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows

•        Strong understanding of agentic system design, including planning, reasoning loops, workflow orchestration, memory, grounding, evaluation, safety, and human-in-the-loop controls

•        Experience taking AI solutions from prototype to production with sound engineering discipline around reliability, observability, latency, cost, security, and governance

•        Experience with modern AI frameworks, SDKs, and tooling for building AI applications, agent workflows, and developer productivity use cases

•        Strong programming skills in one or more backend languages such as   Java 17+,  and Python, with the ability to write high-quality, well-tested, production-ready code

•        Experience with modern front-end frameworks such as React and/or Next.js for building intuitive product experiences would be beneficial

•        Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure

•        Good understanding of APIs, distributed systems, event-driven architectures, data pipelines, and integration patterns across enterprise platforms

•        Experience with CI/CD, automated testing, and engineering automation, including the ability to improve SDLC efficiency and release quality using AI tools

•        Practical experience using AI coding and engineering assistants to improve productivity across design, implementation, testing, debugging, documentation, and operational support

•        Strong background in software security, including authentication, authorisation, secrets management, encryption, threat modelling, and secure deployment practices for AI-enabled systems

•        Proven ability to create reusable platforms, frameworks, or internal engineering capabilities that improve developer experience and accelerate delivery across teams

•        Strong product mindset with the ability to translate user needs and business goals into practical, high-impact technical solutions

•        Excellent collaboration and communication skills, with experience influencing across engineering, product, data science, and leadership stakeholders

Requirements Bucket

Skills / Metrics

Must-Have

·        Strong hands-on programming expertise in Java and Python, with the ability to design, build, test, and optimise production-grade backend services

·        Strong experience with React for building modern, responsive, and intuitive user interfaces for enterprise applications

·        Experience with Next.js or modern front-end architecture patterns alongside React

·        Deep experience building cloud-native applications using containers, Kubernetes, microservices, and managed cloud services in AWS and/or Azure

·        Strong expertise in designing and building APIs, including RESTful services, service contracts, versioning, security, and integration patterns

·        Proven experience with event-driven architecture, asynchronous messaging, streaming, and resilient distributed system design

·        Practical experience using AI tools to improve engineering productivity across coding, testing, debugging, documentation, and release workflows

·        Strong understanding of software engineering quality metrics such as code quality, test automation, reliability, performance, observability, and maintainability

Good to Have

·        Experience building agentic applications or AI-powered systems using LLMs, orchestration frameworks, retrieval, tool calling, and workflow automation

·        Experience with API gateway, service mesh, and enterprise integration patterns

·        Experience with Kafka, event streaming platforms, or large-scale messaging ecosystems

·        Exposure to CI/CD automation, infrastructure as code, and release engineering practices

·        Experience in regulated enterprise environments where security, governance, compliance, and auditability are critical

·        Ability to mentor engineers and influence architecture, engineering standards, and developer productivity at team level

All About You

•        You are a hands-on technical leader who enjoys building and shipping real products, not just prototypes

•        You have experience building or operating AI-enabled or agentic applications in production and understand what it takes to make them secure, reliable, and useful at scale

•        You combine strong software engineering fundamentals with curiosity and good judgment in applying emerging AI capabilities to real business problems

•        You actively use AI to enhance your own engineering productivity and help teams adopt better ways of designing, coding, testing, documenting, and operating software

•        You understand where AI can accelerate delivery and where human review, engineering discipline, and thoughtful controls remain essential

•        You care deeply about customer value, developer experience, quality, resilience, and long-term maintainability

•        You are comfortable working in collaborative, cross-functional, and internationally distributed teams

•        You raise the bar for others through mentorship, technical leadership, and a practical, delivery-focused mindset

•        You communicate complex technical concepts clearly and effectively to both engineering teams and senior stakeholders