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Engineering Lead and Manager
Product startup to build online community for older adults
Engineering Lead and Manager

Engineering Lead and Manager at Product startup to build online community for older adults · Remote, Bengaluru (Bangalore) · 5 - 9 years · ₹40L - ₹55L / yr · Remote friendly · Posted 23 Oct 2023

Qrata's logo

Engineering Lead and Manager

at Product startup to build online community for older adults

Agency job
via Qrata
5 - 9 yrs
₹40L - ₹55L / yr
Remote, Bengaluru (Bangalore)
Skills
Engineering Management
Engineering Manager
skill iconPython
skill iconJavascript
skill iconAmazon Web Services (AWS)
skill iconPostgreSQL
Position : Engineering Lead and Manager
Qualification : B.E./B.Tech. (Computer Science/IT)
Experience : 6-8 Years
Location : Remote/Bangalore
Roles and Responsibilities:
• Manage a team of software engineers, including task planning, system design and code reviews
• Drive technical projects and provide leadership in an innovative and fast-paced environment and collaborate
with product and project managers
• Be responsible for the overall planning, execution, and success of complex technical projects
• Contribute technically to projects
• Work closely with product management team to ensure we're building the best products
• Nurture and assess software developers
• Participate in the recruitment process
• Facilitate and ensure that developers follow the company engineering processes
Requirements:
• Bachelor's degree in Computer Science, related degree or equivalent practical experience.
• 6-8 years of relevant industry experience, with 3 years of hands-on technical leadership and people
management experience (managing teams of 8 or more developers).
• Hands-on programming experience in one of the following: Javascript and Python.
• Hands- on experience developing products and solutions on Cloud platforms such as AWS and GCP
• Large scale systems design experience.
Tech-Stack:
• AWS
• NodeJS Loopback
• TypeScript
• GraphQL
• NextJS/ReactJS
• React Native
• PostgreSQL
• TravisCI/CircleCI
• Neo4J
• Redis
• Apache Kafka
• Github
• JIRA/Confluence
• Slack
Benefits:
• Competitive Salary
• Flexible working hours and work-from-home policy
• Cutting Edge Tech Stack
• Diverse & inclusive culture. #AllAreWelcomeHere
• Collaborate with the best co-workers in the world
• Wellbeing initiatives
• Company events, self-development opportunities, and many more
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Role Title: Tech Lead – AI & Technology

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  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with Docker, CI/CD, and DevOps practices.
  • Experience integrating third-party AI APIs and services.
  • Experience working in startups or fast-paced technology environments.


What We Are Looking For


  • Strong technical ownership and problem-solving ability.
  • Ability to balance hands-on coding with team leadership.
  • Excellent communication and stakeholder management skills.
  • Ability to mentor developers and drive accountability within the team
  • Strong interest in AI and emerging technologies.
  • A proactive, ownership-driven approach with the ability to work in a fast-paced environment.


Why Join Us?


  • Work on AI-powered technology with meaningful social impact.
  • Lead a small, high-ownership technology team.
  • Work across AI, software engineering, and modern IT infrastructure.
  • Opportunity to shape technology architecture and engineering practices from the ground up.
  • Collaborative and fast-moving environment with significant technical ownership.
Read more
100 network
100 network
Agency job
via TalentXO by tabbasum shaikh
Bengaluru (Bangalore)
14 - 15 yrs
₹70L - ₹90L / yr
Engineering Leadership
GenAI / LLMs
AI Agents
Platform Architecture
Document Intelligence
+3 more

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

  • Define and drive the technology vision, architecture and long-term platform roadmap.
  • Oversee the architecture, design and delivery of highly scalable enterprise systems.
  • Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

  • Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
  • Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
  • Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

  • Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
  • Own the GenAI/LLM solutions architecture.
  • Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
  • Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
  • Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

  • A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
  • Collaborate with executive leadership on business strategy, client requirements and product delivery.
  • Build, mentor and scale high-performing engineering teams with a growth mindset.
  • Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

  • Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
  • Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
  • Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

  • Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
  • A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
  • Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
  • Proven leadership in defining and executing technology strategy and platform roadmaps.
  • Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

  • Strong full-stack engineering background (Java, Python, JavaScript frameworks).
  • Expertise with JS frameworks such as React, Angular and Node.js.
  • Experience building and scaling distributed systems and microservices.
  • Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
  • Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

  • Product and delivery management expertise, end to end, including delivery and customer support.
  • Excellent communication, with the ability to influence executive stakeholders.
  • High technical proficiency combined with strong business acumen.
  • Strong analytical and decision-making skills.


Read more
Orenda Financial Services
at Orenda Financial Services
1 candid answer
Orenda Finserv
Posted by Orenda Finserv
Ahmedabad
5 - 8 yrs
₹12L - ₹17L / yr
skill iconPython
skill iconNodeJS (Node.js)
skill iconAmazon Web Services (AWS)
Windows Azure
Google Cloud Platform (GCP)
+4 more

About Orenda

Orenda is a fintech-enabled financial services company founded in 2017 and based in Ahmedabad, Gujarat. We work as a corporate DSA and channel partner for leading banks and NBFCs, helping individuals, professionals, and MSMEs access suitable financial solutions across business loans, personal loans, home loans, loan against property, and professional loans.

At Orenda, we combine financial expertise, technology, and streamlined processes to simplify the lending journey. We are building our own lending-tech platform to improve operational efficiency, strengthen lender and partner integrations, and develop technology-driven solutions that support our evolving business needs.


About the role

We're looking for a Lead Software Engineer who enjoys building as much as designing. You'll shape how our systems are architected, write a good share of the code yourself, and lead a team of 3 to 5 engineers, including AI/ML engineers.


This is a hands-on leadership role, not a pure management or architecture position. Your time will be roughly split like this:


Share of time

Leading the team ~30%

Solution design ~30%

Hands-on coding ~30%

Deployment and infrastructure~10%


What you'll work on

Solution design and architecture

• Turning business needs into technical designs that are practical to build and easy to maintain

• Making architecture decisions across services, integrations and data flows

• Estimating, scoping and planning new features with business and product stakeholders

• Shaping the solution design for AI/ML use cases alongside the AI/ML engineers


Engineering and delivery

• Writing production code in Python and Node.js

• Rolling out new features across our internal and partner-facing platforms, including our CRM and partner portal

• Continuously improving existing systems for performance, reliability and code quality

• Reviewing code and setting engineering standards for the team


Infrastructure and cloud

• Maintaining and upgrading our infrastructure, including a planned move to a major cloud platform

• Owning deployments and production stability together with the team

• Working with event-driven and messaging systems (NATS today, Kafka planned)


Team leadership

• Leading and mentoring a team of 3 to 5 engineers

• Planning and prioritising work, unblocking the team, and making sure things ship

• Building a culture of ownership, clear documentation and quality


What we're looking for

• 5 to 8 years of software engineering experience, with hands-on coding in your recent roles

• Strong command of Python and Node.js

• Proven experience designing and building backend systems and microservices that run in production

• Hands-on experience deploying and running workloads on at least one major cloud platform (AWS, Azure or GCP)

• Solid working knowledge of PostgreSQL

• Experience with messaging or event streaming systems such as NATS, Kafka or RabbitMQ

• Experience leading or mentoring a small engineering team

• Comfort estimating effort, breaking down features and planning delivery

• Enough understanding of AI/ML systems to guide their solution design and integration

• Clear communication with both technical and non-technical stakeholders


Good to have

• Experience working at a fintech, lending or financial services company

• Hands-on experience with Kafka

• Experience leading an infrastructure upgrade or cloud migration

• Experience building or scaling CRM or partner-facing portal products


Why Join Us?


  • Build a growing lending-tech platform: Play a key role in shaping the technology behind a growing financial services business.
  • Own technical decisions: Contribute directly to architecture, engineering standards, and technology direction.
  • Stay hands-on: Combine solution design and technical leadership with meaningful coding responsibilities.
  • Work with emerging technologies: Collaborate with AI/ML engineers and contribute to evolving platform capabilities.
  • Lead and grow a team: Mentor engineers and help build a strong engineering culture as the technology function scales.
  • Make a measurable impact: Build systems that improve operational efficiency and support business growth.


Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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