Manager Software Engineer - Automation Engineering,ITC

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Manager

Software Engineering Automation - ITC Automation

COE

Bangalore,

India

WHO

YOU’LL WORK WITH

As a Manager Software

Engineering-Automation, you'll play a key role in designing and

delivering automation-driven solutions to streamline business

processes and improve operational efficiency. You’ll work on

well-defined problems, lead solution design, and drive execution

end-to-end—with minimal supervision.

You will

work across teams finding appropriate use cases for Automation.

This will require internal marketing & people

skills.

You’ll collaborate

with architects, product owners, and fellow engineers to build

scalable, secure, and performant solutions while mentoring junior

teammates and sharing best practices across the

organization.

You will be a

part of the larger Global Technology organization working on Nike’s

Automation Engineering

team

You’ll be working

on building products and solutions for managing and governing

Nike’s Automation ecosystem, to drive organizational technical

priorities, define engineering best practices, collaborate with

peers, and help to translate business problems into technical

solutions.

WHO

WE ARE LOOKING FOR

We are looking for a

Manager Software Engineering-Automation as part of our ITC

Automation COE team at Nike. The ideal candidate will be a servant

leader, bringing deep technical expertise in Automation to solve

complex engineering problems to enable Nike’s pursuit to deliver

state of the art Automation to run Nike’s business and support our

athletes. We need a dynamic candidate who can work across

domains / teams and has a go getter attitude. Prior experience in

digging out opportunities, working with diverse teams / people is a

bonus.

WHAT

YOU’LL WORK ON

Key

Responsibilities

Design

scalable solutions for well-defined business challenges with

minimal guidance

Lead development and delivery

of technical solutions that meet business needs and align with

Nike’s architectural standards

Analyze system

performance and recommend enhancements to improve efficiency and

scalability

Guide and mentor junior developers

through code reviews and technical

discussions

Drive knowledge-sharing across the

team through learning sessions, deep dives, and

retrospectives

Take full ownership of features

and solutions spanning 2–3 sprint

cycles

Contribute to innovation by facilitating

brainstorming and crowdsourcing of new

ideas

What

You Bring

Bachelor’s degree

in Computer Science, Engineering, or related

field

10+ years of relevant software

development experience

Evangelize

automation

Working with other developers,

designers, and stakeholders to implement strategic business

initiatives and troubleshoot

issues

Technologies like "GenAI, AIOps,

React.js / Angular, D3.js / Chart.js, Node.js, Vue.js, HTML5, CSS3,

JS, REST API, databases like SQL Server, Python, API Integration,

middleware, Git, MSSQL experience,

Python"

Technologies like "GenAI, AIOps,

Breadth of technologies, across programming, AI, Azure, RESTful API

design principles, Python (Flask or Django), Redis, SQL,

TensorFlow / PyTorch for deep learning models, Machine Learning,

Kubernetes, Dockers, Git, PyCharm, SSL / TLS for secure

communication, OWASP principles for web application

security"

Utilizing Git and platforms like

GitHub or GitLab to manage and track code

changes

Hands-on experience implementing and

supporting modern software architectural principles and patterns

(REST, domain-driven design, Devops, microservices,

etc.)

Experience with front-end web application

technologies (JavaScript, CSS, html5, React, other UI Frameworks

etc.)

Experience with implementing and

integrating AI, Machine Learning, GenAi, AI Ops and related data

solutions preferred.

Experience working in a

technical leadership role with agile teams in a product

model

Demonstrated ability to build and

maintain relationships with multiple peers and cross-functional

partners

Proven experience delivering complex

enterprise business process automation

solutions

Knowledge of scripting languages such

as Node.js or Python with proven expertise in enterprise software

development

Hands-on expertise in Automation

Anywhere A360 platform, Power Platform, and other automation

platforms.

Proven experience delivering complex

enterprise business process automation

solutions

Working knowledge of scripting

languages such as Node.js or Python, AIOps, GenAI use

cases

Lead the intake, prioritization, and

management of RPA opportunities.

Oversee the

entire bot development lifecycle (new features and enhancements),

from ideation through deployment, ensuring best practices are

followed at each stage.

Establish and enforce

governance policies and best practices for bot lifecycle to ensure

compliance, scalability, and

sustainability.

Set the teams’ strategic

roadmap

Develop medium to long term financial

and resource management plans for the team and ensure operational

effective

Establish structures and processes

for efficient, compliant operations

Excellent

communication skills with a proven ability to convey complex

technical discussions to a non-technical

audience

Solid experience working with APIs and

databases

Strong understanding of Agile

methodologies and modern development

practices

Excellent problem-solving and

communication skills

Ability to work

independently, take initiative, and drive

outcomes

Reviews and approves code developed by

bot configurators and validate from the perspective of optimization

and cost benefit

Pro-actively identify and

report improvements for the service

Act as

gatekeeper for any bot that is deployed in production. (from UAT

stage till Go-Live)

Partnership with

Developers, external automation teams during the Bot development

life cycle and Ensures Bot configurators are adopting best practice

(e.g. coding standards, policies,

security)

Demand Delivery of client machines to

support the Accelerated

process

Create / Review / Maintain technical

documentation, including the Solution Design

Document.

Work collaboratively with Product

Owners and Business Teams during test phases and UAT to test, debug

and overcome issues.

Participate in and

contribute to deployment activities inclusive of Pre and Post

release activities.

Working with databases (SQL

or NoSQL) to store and retrieve data

Knowledge

of SAP automation preferred

DevOps - Automated

CI / CD pipeline for the platform

Support in

Proof of concept, build Platform core capability pilots – IQBots

and AARI “human in loop” Use

cases

Support / coordinate with Central COE team

during VDI configuration, Platform issues, control room management

(License, Role, Access, Users, Bot insights

etc)

Support Test case review,

system / integration testing

Support any

technical issues in production Bots, triage and enable quick

closure of issues on high

priority

Documentation for COE set up (for eg.

Code review checklist, guide for control room management,

development guidelines etc).

Best practice

sharing, Error handling and able to support in exceptions

handling

Understanding of the RPA, process

mining and agentic process automation

landscape

Solid experience working with APIs

and databases

Strong understanding of Agile

methodologies and modern development

practices

Experience in  Python,

Databricks, ML Flow, DS Pie, Fullstack

development

Excellent problem-solving and

communication skills

Ability to work

independently, take initiative, and drive

outcomes

Graduate / Post Graduate Degree in

Computer Science or related discipline

Good to

have candidates with industry relevant certification (VMWare,

Windows, AWS, Automation Anywhere Platform management, UI Path,

Blue prism, etc.,)

ITIL Foundation Certified

will be an

advantage

Bonus

Points For

Experience with

integrating automation solutions with AIML

offerings

Experience with bot migrations across

automation platforms

Working knowledge of CI / CD

pipelines and DevOps practices

Experience in

implementing GenAI and AIOPs use cases

Exposure

to databricks platform and Full stack

development

Exposure to AWS cloud offerings

such as lambdas, EC2, S3, DynamoDB

Familiarity

with Microsoft Power Automate

Awareness of

performance trade-offs and IT / information security governance best

practices

Automation Anywhere A360 Advanced

Developer

Certification