Website:
jumbo.consulting
Job details:
Engineering Delivery Lead
Experience: 7+ Years
Openings: 1
Location: Remote
Employment Type: Full-Time
Budget: ₹15–20 LPA
Preferred Companies: Service-based companies, especially candidates looking to transition into a fast-growing startup environment.
About the CompanyA fast-growing AI-native technology company building next-generation conversational AI solutions to help enterprises modernise and transform customer service experiences.
The company works at the intersection of AI, enterprise software, and customer experience, giving employees the opportunity to work closely with leadership and build scalable products in a startup environment.
Role Overview:
We are looking for a technically strong Engineering Delivery Lead with a solid software engineering background to take ownership of engineering delivery, team coordination, backlog execution, and stakeholder alignment. You will work closely with Product and Engineering leadership to translate priorities into executable plans and ensure predictable, high-quality delivery.
Key Responsibilities:
- Own day-to-day engineering delivery for a team of approximately 10–15 engineers.
- Act as a proxy Product Owner and manage/refine the engineering backlog.
- Drive Agile/Scrum ceremonies including sprint planning, stand-ups, reviews, retrospectives, and capacity planning.
- Track delivery commitments, risks, dependencies, blockers, defects, and technical debt.
- Coordinate across Product, Engineering, QA, DevOps, Security, and leadership.
- Mentor engineers and support workload planning, goal alignment, and team effectiveness.
- Participate in technical discussions and challenge estimates, assumptions, and delivery risks.
- Identify opportunities to improve engineering processes, automation, and delivery productivity.
Must-Have Skills:
- 7+ years of overall software engineering experience with hands-on development exposure.
- Experience leading or coordinating engineering teams.
- Strong understanding of Agile/Scrum and software delivery practices.
- Good understanding of APIs, databases, CI/CD, testing, cloud environments, and SDLC.
- Hands-on exposure to AWS or GCP.
- Strong communication, stakeholder management, prioritization, and problem-solving skills.
- Strong ownership mindset and ability to work in a fast-moving environment.
Good to Have:
- Experience with SaaS, cloud-native, enterprise software, AI, or platform engineering.
- Exposure to AI/LLM tools and AI-assisted software development.
- Experience working with distributed/remote engineering teams.
- Familiarity with AWS, Azure, or GCP.
- Scrum Master, Product Owner, PMP, SAFe, or equivalent certification.
Ideal Candidate:
A technically grounded engineering professional who has started taking ownership beyond individual development, has experience coordinating teams and delivery, and is now looking to grow into broader engineering delivery and people leadership within a startup environment.
Click on Apply to know more.
