Role : Head of Software Engineering.
Location : Delhi NCR (Hybrid).
Type : Permanent.
Job Description : Lead Technology Architect / Head of Engineering.
We are seeking an experienced Lead Technology Architect to define and deliver innovative technology solutions across our products and platforms. This role blends hands-on engineering with strategic leadership - ideal for someone who has built and scaled platforms, led multi-disciplinary teams, and worked across a variety of modern stacks.
Key Responsibilities :
- Define the overall technology vision, architecture and roadmap across cloud, data and application layers.
- Evaluate and introduce emerging technologies (serverless, microservices, blockchain, VR, AI / ML) where they create business value.
- Lead cross-functional engineering teams to deliver secure, scalable and high-performing solutions.
- Partner with business stakeholders to translate needs into technical designs and delivery plans.
- Oversee DevOps, cloud infrastructure, data operations and application development practices.
- Mentor and coach engineers; foster a culture of innovation, automation and quality.
- Ensure compliance with security standards and cost optimisation in cloud environments.
Required Skills & Experience :
10+ years in senior engineering or architecture roles, with at least 3 years leading teams or platforms.Broad hands-on experience with multiple technologies (e.g. AWS / GCP, Terraform, serverless architectures, microservices, data platforms).Strong programming background in at least two languages (Python, Go, NodeJS, Scala, C#, etc.).Experience designing and implementing CI / CD, infrastructure as code and cloud-native applications.Proven ability to evaluate and integrate emerging tech (VR, blockchain, data analytics).Track record of defining technology roadmaps and delivering complex projects end-to-end.Nice to Have :
Start-up or consultancy experience driving technology strategy for multiple clients.Exposure to SOC2, ISO27001 or similar security / compliance frameworks.Experience in building or scaling data-intensive products (Databricks, Spark, Redshift).(ref : hirist.tech)