DEVOPSdigest

Deloitte announced Deloitte Engineering — launching its software and product development capabilities as an engineering practice designed to help enterprises innovate, grow and deliver value faster.

Deloitte Engineering unifies and extends the organization's existing engineering capabilities with a multidimensional approach to help clients, across all industries, maximize their potential and rapidly scale their software engineering and product innovation capabilities across the full engineering stack in order to get ahead of the explosive growth in transformative technologies (e.g., generative AI, cloud-native applications, Web3, and connected products).

"We are seeing an unprecedented shift in the market as organizations embrace more cloud native principles and modern engineering approaches to drive product velocity, increase business agility and realize digital transformation ambitions," said Ranjit Bawa, U.S. chief strategy and technology officer, Deloitte LLP. "Our modern engineering and domain experience, coupled with our deep ecosystems and Alliances relationships, are at the leading-edge of business, as seen in the Smart Factory @ Wichita and our suite of Converge solutions. Deloitte Engineering uses innovative AI, cloud-native tech stacks, and modern ways of working to build end-to-end, customer-first solutions that never lose sight of the drive for fresh enterprise value."

Deloitte Engineering combines two vital, long-standing capabilities within Deloitte: a full engineering stack and deep experience in business transformation.

It also brings together Deloitte's broad investment in expanding on a variety of domain and sector experience through the acquisition of companies including HashedIn, Dextra, NTC, SFL Scientific and, most recently, Optimal Design. Clients of Deloitte Engineering also benefit from the collaborative value of an ecosystem of alliances with more than 140 leading third-party providers.

Deloitte Engineering offers the following capabilities:

- Digital product and app development: Expedite product development to meet the most pressing customer needs and deliver innovative new features more frequently.

- Software platforms engineering: Build a modern platform, leveraging microservices-based containerized architecture, API-driven connectivity, and scalable DevOps infrastructure

- Data engineering and AI/ML: Aggregate and enrich data securely to reduce time-to-insights and to enable next-gen AI/ML experiences.

- Embedded software engineering: Stand up testing at scale and architect an integrated digital value chain to drive release efficiencies and improve customer outcomes, enabling teams to focus on the next release.

- Software engineering operating models and tech talent: Driving software engineering and product innovation velocity and talent productivity by providing an industry-leading developer experience and sourcing and retaining high-quality talent globally.