Servicenow Developer

Essential Skills & Experience1. AI-Driven Product Development (PDLC)

• 2+ years experience in

  software

  engineering

  using

  Java,

  Python,

  or

  similar

  , delivering

  production-ready code

  .
• Strong capability across

  design,

  solutioning,

  development,

  and

  unit

  testing

  , with a focus on

  quality, scalability, and maintainability

  .
• Proven experience delivering

  error-free

  code

  with

  full

  unit

  test

  coverage

  and performing

  wider impact analysis

  before implementation.

2. ServiceNow & AI-Enabled Engineering

• Hands-on experience developing on

  ServiceNow

  (preferred) or similar enterprise platforms.
• Experience integrating

  AI

  capabilities

  (LLMs, AI agents, RAG patterns) into platforms using

  APIs

  and event-driven patterns

  .
• Exposure to

  ServiceNow

  Now

  Assist,

  Copilot

  Studio

  ,

  KIRO

  or equivalent AI-enabled tooling is desirable.

3. AI-Assisted Development & Automation

• Practical experience using

  AI

  tools

  and

  copilots

  to accelerate

  development,

  testing,

  documentation, and code reviews

  .
• Ability to embed AI into

  engineering

  workflows

  to improve productivity and time to market.
• Strong mindset for

  automation-first

  development

  and

  deployment

4. DevOps, Environments & Operability

• Good understanding of

  DevOps

  practices

  ,

  CI/CD

  pipelines

  , and

  infrastructure

  as

  code

  .
• Experience working across

  multi-environment

  setups

  (Dev / Test / Prod) with controlled promotion paths.
• Familiarity with

  containerisation

  (Docker) and orchestration concepts (Kubernetes desirable).
• Ability to analyse and resolve

  production

  issues

  , driving stability and continuous improvement.

5. Governance, Security & Responsible AI

• Strong understanding of

  enterprise

  security,

  privacy,

  and

  compliance

  requirements.
• Experience applying

  responsible

  AI

  practices

  , including data handling, prompt safety, and auditability.
• Ability to balance

  speed

  of

  delivery

  with

  governance

  and

  control

  .

6. Professional Capability & Collaboration

• Ability to

  work

  independently

  with

  accountability

  in a fast-paced delivery environment.
• Strong collaboration skills with

  product

  owners,

  platform

  teams,

  and

  operations

  .
• Willingness to

  share

  innovation

  ideas

  , contribute to reusable assets, and act as an

  advocate

  for AI-driven PDLC

  .

Behavioural & Professional Attributes

• Strong ownership mindset with a focus on outcomes and impact
• Comfortable working in ambiguous, fast-evolving AI landscapes
• Ability to influence without authority and work across multiple teams
• Passion for continuous learning and innovation in AI engineering