Tech Lead Software Engineer

Software Development (Tech Lead)

Location: Bangalore, India

Experience: 8 years/ WFO

Company Overview:

Omnicom Global Solutions (OGS) is an integral part of Omnicom Group, a

leading global marketing and corporate communications company. Omnicoms

branded networks and numerous specialty firms provide advertising and

communications services to over 5,000 clients in more than 70 countries.

Let us build this together!

Flywheel operates a leading cloud-based digital commerce platform across the

worlds major digital marketplaces. It enables our clients to access near real-time

performance measurement and improve sales, share, and profit.

Through our expertise, scale, global reach, and highly sophisticated AI and

data-powered solutions, we provide differentiated value for both the worlds largest

consumer product companies and fast-growing brands.

Job Description:

We are seeking an experienced and dynamic Software Development Lead to drive

end-to-end development, architecture, and team leadership in a fast-paced

ecommerce environment. The ideal candidate combines deep technical expertise

with strong people leadership and a strategic mindset. You’ll lead a cross-functional

team building scalable, performant, and reliable systems that impact millions of users

globally.

Roles and Responsibilities:

• Technical Leadership & Architecture
• Make high-impact architectural decisions and lead the design of large-scale

systems.

• Guide the team in leveraging AWS/cloud infrastructure and scalable

platform components.

• Lead implementation of performance, scalability, and security non-functional

requirements (NFRs).

• Design and implement engineering metrics that demonstrate improvement

in team velocity and delivery.

• Oversee AI/ML system integrations and support production deployment of

machine learning models.

• Engineering Execution
• Own release quality and delivery timelines; unblock teams and anticipate

risks.

• Balance technical debt with roadmap delivery and foster a culture of

ownership and excellence.

• Support the CI/CD framework and define operational readiness including

alerts, monitoring, and rollback plans.

• Collaborate with Data Science/ML teams to deploy, monitor, and scale

intelligent features (e.g., personalization, predictions, anomaly detection).

• People Leadership & Mentorship
• Mentor and grow a high-performing engineering team through feedback,

coaching, and hands-on guidance.

• Drive onboarding and succession planning in alignment with long-term team

strategy.

• Evaluate performance and create career growth plans for direct reports.
• Cross-Functional Collaboration
• Represent engineering in product reviews and planning forums with PMs,

QA, and Design.

• Communicate technical vision, delivery risks, and trade-offs with business

and technical stakeholders.

• Work with Product and Business Leaders to align team output with

organizational goals.

• Project Management & Delivery
• Lead planning, estimation, and execution of complex product features or

platform initiatives.

• Manage competing priorities, refine team capacity, and ensure timely and

reliable feature rollout.

• Provide visibility into team performance through clear reporting and delivery

metrics.

• Culture & Continuous Improvement
• Lead by example in fostering inclusion, feedback, and a growth-oriented

team culture.

• Promote a DevOps mindset: reliability, ownership, automation, and

self-service.

• Identify AI/ML opportunities within the platform and work with products to

operationalize them.

This may be the right role for you if you have.

• 8+ years of experience in software engineering, with at least 3 years in

technical leadership or management roles.

• Strong backend expertise in Java or Python; hands-on experience with

Spring Boot, Django, or Flask.

• Deep understanding of cloud architectures (AWS, GCP) and system design

for scale.

• Strong knowledge of frontend frameworks (React/AngularJS) and building

web-based SaaS products.

• Proven ability to guide large systems design, service decomposition, and

integration strategies.

• Experience in applying ML/AI algorithms in production settings

(recommendation engines, ranking models, NLP).

• Familiarity with ML lifecycle tooling such as MLflow, Vertex AI, or

SageMaker is a plus.

• Proficiency in CI/CD practices, infrastructure-as-code, Git workflows, and

monitoring tools.

• Comfortable with Agile development practices and project management

tools like JIRA.

• Excellent analytical and problem-solving skills; capable of navigating

ambiguity.

• Proven leadership in mentoring and team culture development.

Desired Skills

• Experience in ecommerce, digital advertising, or performance marketing

domains

• Exposure to data engineering pipelines or real-time data processing (Kafka, Spark,

Airflow).

• Agile or Scrum certification.
• Demonstrated success in delivering high-scale, distributed software platforms.

What Will Set You Apart:

• You’re a system thinker who can break down complex challenges and design

for resilience.

• You proactively support cross-team success and remove friction for others.
• You build high-performing teams through mentoring, clear expectations, and

shared ownership.

• You champion technical quality and foster a team that thrives on accountability

and continuous learning.