Senior Software Engineering Manager

About Tapplent

At Tapplent, we began with a simple belief : the future of work must be more human, more intelligent, and more connected. Headquartered in the United States, with teams and partners across Canada, India, Singapore, Australia, the Philippines, Indonesia, Malaysia and the UAE, we’ve grown into a truly global HR Tech SaaS company. Today, users across the world rely on Tapplent to match, predict, select, engage, and develop talent with precision.

We’re more than just a platform; we’re a diverse, collaborative team reimagining Talent Intelligence. With a customer-first mindset, we design experiences that are human-centered and data-driven, delivering measurable business impact.

And for organizations still tied to rigid, “one-size-fits-all” HR solutions, Tapplent is the right choice. Our systems adapt to the evolving nature of work, empowering companies to engage their workforce, their workplace, and their future like never before.

Already, a significant number of users across the globe are experiencing this transformation through Tapplent. And we’re just getting started.

ABOUT ROLE

Location : Bangalore, Karnataka (On-site)

We are looking for an experienced

Engineering & AI Manager

to lead our growing engineering team in Bangalore. The role demands a strong technology leader who thrives in

startup and growth-stage environments , can balance hands-on engineering with people leadership, and is comfortable working closely with customers to deliver business impact.

KEY RESPONSIBILITIES

Lead and scale

a high-performing engineering team, fostering a startup-style culture of

agility, ownership, and innovation.

Architect and oversee

the development of

scalable SaaS products

using

Java Spring Boot (backend)

and

Angular (frontend).

Leverage hands-on experience

in building

full-fledged enterprise applications

using Java and Angular, while progressively

adopting newer, more advanced technologies

to modernize and future-proof systems.

Possess

deep expertise in driving microservices-based architecture

and managing

system integrations at scale.

Demonstrate

hands-on experience integrating products and applications with major ERP systems

such as

Oracle, SAP, and similar platforms.

Participate in and eventually champion

the company’s

AI roadmap , embedding

machine learning and intelligence-driven features

into products.

Collaborate cross-functionally

with Product, Design, and Business teams to translate customer needs into scalable, intelligent technology solutions.

Engage directly with customers and stakeholders , ensuring that solutions are practical, high-impact, and aligned with strategic business outcomes.

Be

knowledgeable in and establish best practices

for

DevOps, CI / CD pipelines, cloud-native deployments, and agile execution.

Balance strategic decision-making with hands-on problem-solving , ensuring both vision and execution excellence.

QUALIFICATIONS AND EXPERIENCE

10–15 years

of progressive engineering experience, including

3–5 years

in management roles.

Proven success in

startup or high-growth environments , with the ability to navigate ambiguity, scale teams, and deliver outcomes in fast-paced settings.

Strong

architecture and coding expertise

in

Java Spring Boot, Angular, microservices , and

analytics-driven platforms.

Demonstrated hands-on experience in developing full-fledged enterprise-grade applications

using Java and Angular, with a continuous drive to

adopt and implement emerging technologies

for modernization and scalability.

In-depth experience integrating with ERP systems

such as

Oracle, SAP, and other enterprise platforms , ensuring seamless interoperability and data flow.

Proven journey in the

AI / ML space, f rom experimentation and proof-of-concept to deploying

production-grade intelligent systems.

Deep understanding of cloud platforms

such as

AWS, Azure, and GCP , along with

DevOps, CI / CD automation, and containerization practices.

Strong foundation in system design, scalability, performance optimization, and security architecture.

Excellent communication and stakeholder management skills , with the ability to translate technical complexity into business impact and influence outcomes across teams.

WHAT WE OFFER

Opportunity to shape and scale the engineering function of a

fast-growing SaaS & AI-led company .

Exposure to cutting-edge technologies and direct customer impact.

A collaborative, high-energy environment with startup DNA.

Competitive compensation includes

Stock Options and long-term growth opportunities .