Staff Software Engineer - Backend

What makes Techjays an inspiring place to work

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change.

Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.

Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI.

Staff Software Enginee

Key Skills

• Backend Development (Expert): Python, Java, C#, or Golang with strong knowledge of distributed systems and scalable architectures
• Data & Messaging (Advanced): Kafka, RabbitMQ, Redis, PostgreSQL, MongoDB
• Cloud Technologies (Proficient): AWS, GCP, Azure, CI/CD pipelines (GitHub Actions, GitLab CI, Bamboo)
• System Design & Architecture: Microservices, Domain-driven design, Event-driven architecture, Reusable frameworks, Shared libraries
• AI & Innovation (Preferred): Adoption of AI accelerators, RAG, LLMs, Vector Databases, AI-first engineering practices
• Collaboration & Leadership: Technical mentorship, stakeholder management, cross-team communication, org-wide technical direction

Experience:

Location:

Roles and Responsibilities

• Serve as a domain-level architect, defining reusable patterns, frameworks, and best practices across teams.
• Lead large-scale, cross-functional engineering initiatives that align technical roadmaps with strategic business outcomes.
• Own critical technical decisions across multiple domains, ensuring long-term platform scalability, performance, and reliability.
• Champion adoption of observability, testing, security, and quality standards throughout the organization.
• Mentor engineers at all levels, fostering technical leadership capacity across the org.
• Guide adoption of AI-first practices, enabling teams to leverage AI accelerators, LLMs, and automation to increase efficiency.
• Collaborate with product, business, and engineering stakeholders to influence org-wide strategies and architecture reviews.

What we offer

• Best-in-class packages
• Paid holidays and flexible time off
• Casual dress code & flexible working environment
• Work in an engaging, fast-paced environment with ample opportunities for professional growth
• Medical insurance covering self & family up to 4 lakhs per person
• Diverse and multicultural work environment
• Be part of an innovation-driven culture with the support and resources needed to succeed