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Back End Developer

PwC Acceleration Centers • 🌐 In Person

In Person Posted 1 week, 1 day ago

Job Description

Job Description \& Summary

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives, needs, and feelings of others.

Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Use critical thinking to break down complex concepts.

Understand the broader objectives of your project or role and how your work fits into the overall strategy.

Develop a deeper understanding of the business context and how it is changing.

Use reflection to develop self awareness, enhance strengths and address development areas.

Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Location:

AC

Level:

Senior Associate

Team:

Delivery Excellence- Tech Enablement

Product

: Concourse

Job Summary

We are seeking a highly skilled and motivated

Senior Back-End Engineer

to join our growing platform team. The successful candidate will have at least

5 years of experience

in back-end engineering and will be responsible for designing, developing, and maintaining highly scalable, distributed systems using

Node.js

,

NestJS

,

MongoDB

, and

Azure

services.

This role involves hands-on development, system design, collaboration with cross-functional teams, and a strong focus on

performance, reliability, observability, and scalability

. The ideal candidate brings a consultative mindset, deep understanding of microservices and event-driven architectures, and the ability to effectively leverage

GenAI tools

throughout the SDLC.

Key Role Information:

Experience:

5+ years’ experience

Must Have:

Node.js, NestJS, MongoDB, REST \& GraphQL APIs, Azure Service Bus/Event Hub, CI/CD (GitHub workflows), distributed systems, GenAI tools in SDLC, observability (e.g., DataDog)

Nice to Have:

Next.js, Nx monorepo setup, serverless architecture (Azure Functions), test automation frameworks

Key Responsibilities

System Design and Development

Design and implement

distributed back-end services

using Node.js, NestJS, and MongoDB within a

microservices

architecture.

Deliver secure, production-ready APIs (REST and GraphQL) that meet SLAs for

performance, availability, and reliability

.

Leverage Azure services such as

Service Bus

,

Event Hub

, and

Functions

to build

resilient and event-driven systems

.

Framework Development and Operations

Develop reusable and scalable service templates and frameworks to accelerate development and ensure consistency.

Implement

observability

,

monitoring

, and

alerting

using tools like

DataDog

, ensuring end-to-end visibility of service health.

Contribute to improving CI/CD pipelines, GitHub workflows, and trunk-based development practices.

Performance, Reliability, and Optimization

Optimize service performance through efficient data modeling, indexing, and caching strategies in

MongoDB

.

Ensure non-functional requirements (NFRs) such as

performance, reliability, and observability

are addressed early in the design phase.

Participate in load and stress testing efforts to identify and remediate bottlenecks in distributed environments.

Collaboration and Communication

Work closely with front-end engineers, product owners, QA, and DevOps to ensure

end-to-end quality and alignment

.

Actively participate in

agile ceremonies

, providing technical input in planning, grooming, and retrospectives.

Communicate design decisions, trade-offs, and technical recommendations clearly to both technical and non-technical audiences.

Continuous Improvement and Mentorship

Apply

GenAI tools

across the SDLC for documentation, testing, code generation, and analysis to drive productivity and quality.

Mentor junior engineers through code reviews, design discussions, and pair programming.

Continuously evaluate emerging technologies and frameworks to enhance platform capabilities.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Proven experience in

back-end software engineering

,

distributed systems

, and

microservices architectures

.

Proficiency in

Node.js

,

NestJS

, and

MongoDB

, with strong understanding of schema design and optimization.

Experience integrating with

Azure cloud services

including Service Bus, Event Hub, and Functions.

Deep knowledge of

RESTful

and

GraphQL

APIs, including security and query performance tuning.

Hands-on experience using

GenAI tools

for code assistance, documentation, and analysis.

Solid understanding of

CI/CD pipelines

,

GitHub workflows

, and

monorepo (Nx)

setups.

Familiarity with observability and monitoring tools such as

DataDog

, and readiness to lead post-deployment support efforts.

Strong analytical, problem-solving, and communication skills.

Experience working in

Agile

and

DevOps

environments.

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