Director of Engineering

Who are we :

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do :

We build powerful analytics in the US and Indian stock market space that are best in class. Organic growth in B2B and B2C products has already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Tech Stack :

• Python (Django / Flask / FastAPI)
• PostgreSQL / MySQL
• Redis / caching systems
• REST APIs

Job Responsibilities :

• Develop and maintain scalable, robust backend systems using Python frameworks.
• Work closely with product managers and other cross-functional teams to help define, scope, and deliver world-class products and high-quality features addressing key user needs.
• Translate requirements into system architecture and implement code while considering performance issues of dealing with billions of rows of data and serving millions of API requests every hour.
• Ability to take full ownership of the software development lifecycle from requirement to release.
• Writing and maintaining clear technical documentation enabling other engineers to step in and deliver efficiently.
• Embrace design and code reviews to deliver quality code.
• Play a key role in taking Trendlyne to the next level as a world-class engineering team.
• Develop and iterate on best practices for the development team, ensuring adherence through code reviews.
• As part of the core team, you will be working on cutting-edge technologies like AI products, online backtesting, data visualization, and machine learning.
• Proficient understanding of the performance of web and mobile applications.

Job Requirements :

• 1+ years of experience with Python and Django / Flask / FastAPI.
• Good knowledge of APIs, databases, and system performance.
• Strong understanding of relational databases like PostgreSQL or MySQL and Redis.
• Ownership mindset: you build it, ship it, and take responsibility for it in production.
• Strong communication skills: ability to articulate technical decisions clearly to both engineers and non-technical stakeholders.
• Bonus: Familiarity with JavaScript, HTML, or CSS is a plus but not required.

Fountane Archipelago  ·  Island Role

A Little Bit About the Role

We are looking for a Senior Product Engineer (L3) who thrives in complexity. Most engineers build on blank canvases — you build on someone else’s mess and leave it better than you found it.

The majority of your work at L3 will be on existing, live codebases — disorganised, partially documented, built by multiple teams over multiple years. Your job is to enter those systems, understand them before touching them, extend and clean them without breaking what works, and progressively bring them up to a standard where AI tooling can accelerate further development. This is the core of what L3 does at Fountane. If you have only built greenfield projects, this role will be hard.

You are expected to be genuinely full stack: comfortable owning web applications and mobile apps, the frontend, backend, database, state management, and API integration layer — without needing to hand off to a specialist.

You will work closely with the Concept Engineer on your Island — translating their prototypes into production architecture, raising technical blockers early, and keeping the sprint honest. You will also review code, mentor junior engineers, respond to production incidents, and contribute to the network’s shared knowledge base.

All of this is done primarily with Cursor and Claude as your execution and reasoning tools. AI-assisted engineering is not a feature of this role — it is the method.

AI-First Engineering Expectation

Cursor and Claude are your primary tools — not supplements. Engineers at L3 who are not using AI at the codebase level are not operating at this level.

At L3, AI-assisted engineering means:

• Loading full codebase context into Cursor before writing a single line — understanding the system before touching it.
• Writing scoped, precise refactor prompts that isolate changes to one concern at a time.
• Using Cursor to generate tests that document existing behaviour before any restructuring begins.
• Using Claude for architecture reasoning, decision documentation, and translating CE briefs into structured technical plans.
• Producing inline documentation and decision records as part of the AI-assisted workflow — not as an afterthought.
• Sharing effective prompt patterns and Cursor discoveries with the broader Fountane network — kept to yourself, they are a missed contribution.

Key Responsibilities

Legacy Codebase Refactoring & the Cleaning Phase

This is the primary L3 engagement type at Fountane. You will be handed existing, partially documented codebases — built by previous teams, often without tests, with inconsistent patterns — and your job is to refactor them into a clean, AI-promptable state without losing existing functionality. You use Cursor’s codebase context window to navigate safely, write characterisation tests before touching anything, and make changes in small, reviewable increments. The standard is: every module you leave should be easier to extend by AI tooling than when you found it.

Full Stack Development — Web & Mobile

Build and own the full application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and relational and non-relational databases. You should be able to pick up web or mobile on any engagement without needing a handoff. Schema design, data modelling, and state architecture are yours to own — including diagnosing and fixing broken or leaking state in existing frontends.

Third-Party API Integrations

Integrate complex third-party services — payments (Stripe), communications (Twilio), auth (Auth0), and others — reliably and without creating brittle dependencies. Own the integration layer end to end: error handling, retries, failure modes, and documentation. If a third-party integration is flaky in production, that is your problem to own.

CE Collaboration & Sprint Integrity

Work directly with the Concept Engineer to translate prototypes into buildable technical plans. Review CE briefs before the sprint starts — if the scope is technically unrealistic, the time to say so is before work begins, not on demo day. Raise blockers against acceptance criteria proactively. You are the technical check on what the CE promises the client.

Security Awareness

Write code that does not require the Lead to security-audit every line. This means: input validation by default, no hardcoded secrets, correct auth scoping, safe handling of user data, and awareness of common vulnerabilities (injection, broken auth, insecure direct object references) in the context of the stacks you work in. You are not the security architect — the Lead owns that — but you are expected to produce code that does not introduce obvious vulnerabilities.

Production Incident Response

When something breaks in production, you are on it. Diagnose the issue, apply a safe fix or rollback, document what happened and why, and hand a clear summary to the Lead for the client post-mortem. Speed matters, but a bad fix that causes a second incident is worse than a slow fix that is correct. Response expectation: acknowledged within 1 hour, resolved or escalated with a clear status within 4 hours.

Codebase Navigation & Safe Refactoring

On all engagements — not just Cleaning Phase work — keep changes small, focused, and reviewable. One type of change per commit. Write tests that document existing behaviour before restructuring. Leave every module easier to understand than when you found it.

Code Review

Review pull requests from L1 and L2 engineers with specific, actionable feedback — not rubber-stamp approvals. A good code review at L3 leaves the author understanding what to do differently next time, not just what to fix now. Review weekly; do not let PRs age.

Mentoring

Review junior engineers’ code weekly with specific, useful feedback — this is distinct from quality-gate code review. The goal here is teaching, not gatekeeping. Run monthly pairing sessions to help them grow. The measure of good mentoring is whether they are becoming more capable and less dependent on you over time.

Documentation

Write short decision records when you make significant technical choices. Leave every module you touch easier to understand than when you found it. Treat documentation as part of the engineering work, not a separate task you do at the end.

Qualifications

• 5+ years of experience as a software engineer, with a strong track record on real production codebases you did not build from scratch — incomplete documentation, inconsistent patterns, other people’s decisions. If your experience is primarily greenfield, this role will be a difficult fit.
• Genuinely full stack across web and mobile: proficient in React / Next.js and at least one of React Native or Flutter, Node.js or Python on the backend, and comfortable with both relational and non-relational databases including schema design.
• Hands-on, daily Cursor and Claude usage at the codebase level. You should be able to describe concretely how you use AI in your engineering workflow — not in general terms.
• Experience integrating complex third-party APIs in production environments — not just following a quickstart guide. You should be able to describe an integration that failed in production and what you did about it.
• Solid security awareness for the stacks you work in: input validation, auth scoping, safe data handling. You do not need a security specialism, but you should not be writing code that introduces obvious vulnerabilities.
• Has conducted meaningful code reviews that improved the code and the author, not just approved the PR.
• Has coached or mentored junior engineers before, and done it well.
• Comfortable with production incident response — diagnosing issues under pressure, applying safe fixes, and communicating clearly to a Lead or client about what happened.
• Treats documentation as part of the job, not an afterthought.
• Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience.

About Fountane

Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.

Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.

We are radically open-minded, serious about craft, and direct about expectations. If you want to do meaningful work without politics, this is the place.

QA Engineer (Manual + Automation)

Experience: 3+ Years

Location: Remote

Only Female Candidates

Role Overview

We are seeking a highly motivated QA Engineer with 3+ years of experience in Manual and

Automation Testing. The ideal candidate should have strong expertise in test planning,

automation frameworks, API testing, database validation, performance testing, and AI-assisted

testing tools. You will collaborate closely with Product Managers, Developers, and DevOps

teams to ensure high-quality product releases.

Key Responsibilities

● Design, develop, and execute comprehensive manual and automated test cases.

● Perform functional, regression, integration, smoke, and sanity testing.

● Build and maintain scalable automation frameworks using Java, Selenium, and

Playwright.

● Validate REST APIs using tools like Postman or similar.

● Perform database testing by validating data integrity and backend transactions.

● Execute performance and load testing to ensure system scalability.

● Utilize AI-powered testing tools to improve test coverage and productivity.

● Identify, document, track, and verify software defects.

● Work closely with developers to reproduce and resolve issues quickly.

● Participate in sprint planning, backlog grooming, and release validation.

● Continuously improve QA processes, automation coverage, and testing best practices.

Required Skills

● 3+ years of experience in Software Testing.

● Strong Manual Testing fundamentals.

● Hands-on experience in Automation Testing.

● Excellent knowledge of Java.

● Experience with Selenium WebDriver.

● Experience with Playwright or Any other tools

● API Testing using Postman or similar tools.

● Database Testing using SQL.

● Performance Testing using JMeter or equivalent tools.

● Experience using AI-assisted testing tools (e.g., ChatGPT, GitHub Copilot, Testim,

Applitools, or similar).

● Knowledge of Agile/Scrum methodologies.

● Familiarity with Git and CI/CD pipelines.

● Strong analytical and debugging skills.

● Excellent communication and collaboration abilities.

Good to Have

● Experience testing AI/ML-based applications.

● Exposure to cloud platforms (AWS/GCP/Azure).

● Knowledge of Docker and Kubernetes.

● Experience with TestNG/JUnit.

● Familiarity with Jenkins or GitHub Actions.

Solutions Engineer – Technical Customer Success Owner

Location: Pune | Experience: 2–4 years

About FlytBase

FlytBase powers 24/7 autonomous drone and robot operations across industrial sites—solar farms, refineries, rail yards, and more. With deployments at 300+ sites globally and customers like Oxy, CSX, and Anglo-American, we’re scaling the future of Physical AI.

What You’ll Own

This isn’t a demo-and-disappear job. You’ll lead from discovery to deployment—owning the full technical cycle for enterprise drone automation.

• Customer Success & Technical Discovery: Be the go-to advisor for clients—understand pain points, run PoCs, and deliver solutions they can scale.
• Sales Engineering: Assist in GTM execution, drive revenue with compelling value stories, and close enterprise deals.
• Product Feedback Loop: Turn customer insight into roadmap impact—collaborate with product & engineering to build what the market really needs.
• Thought Leadership: Represent FlytBase at expos, train customers, lead webinars, and create high-signal success stories.

Who You Are

• 2–4 years in enterprise SaaS, robotics, drones, or IoT (customer-facing)
• Proven experience in technical pre-sales or onboarding
• Excellent communicator—comfortable with CEOs and CTOs alike
• Obsessively curious, fast learner, and bias for execution
• Writes clearly, thinks logically, and simplifies complexity
• Bonus: Experience with UAV systems, DJI, APIs, or deployment architecture

AI-Native, Full-Stack Mindset

• Use AI to prototype, scale outreach, and optimize delivery
• Write docs, guides, and customer content that actually helps
• Solve problems—not just show features.

Who We’re Not Hiring

• Slide flippers who disappear after demos
• “That’s not my job” types
• Activity-over-outcome operators
• Anyone allergic to complexity or documentation

Who You’ll Work With

• Sales → Demo, close, and support GTM
• Product → Shape roadmap with insights from the field
• Engineering → Translate problems into features and fixes
• Marketing → Co-build stories that drive adoption.

Ready to Fly?

Apply now: https://forms.gle/4QAUqJxgT7TevpX86

If this felt too intense, it’s probably not for you. But if it sparked a fire—you know what to do.

Summary:

Passionate and energetic inside sales personnel who can connect and engage with leads via outbound calls, set up the appointments and can clearly communicate the company's brand identity.

• 1+ years of successful experience selling enterprise software products or services
• Identify prospects grow and manage sales pipeline to achieve targets
• Coordinate software demos and service presentations with prospects and internal business development team.
• Experience in market research, data mining and cold calling.
• Generate new potential client through cold calling, social media platforms.
• Communicating with the Organization heads and schedule the appointments for product demo.
• Self-motivated, able to work independently and as a member of a remote team.
• Proven ability to build and manage a sales pipeline and achieve targets
• Market Research to identify new markets and prospects.
• Excellent communication skills (presentation, verbal, and written)
• Demonstrated expertise in building and maintaining client relationships
• Good convincing ability and confident personality.
• Data driven approach towards the sales process.
• Full understanding of the sales process from database generation to fixing the appointments.

• Min 1 year of relevant experience in software/hardware sales
• Strong communication and presentation skills.
• Knowledge of lead generation and email hunting.
• Excellent knowledge of search engines, web analytics and business research tools.
• Adequate knowledge of data collection methods.
• Strong analytical and critical thinking.
• Good working knowledge of MS Word and Excel

1. Work closely with our customers to understand their needs and build high-quality user interfaces.
2. Build, test and ship dashboards using frameworks like React, ES6, and Webpack.
3. Work with engineers and senior leadership to turn our vision into a tangible roadmap every quarter.
4. Add positive energy in every meeting or interaction with your coworkers.

Minimum Qualifications

1. B.E/B.Tech/M.Tech in CS/CE/IT
2. Must-have requirements for candidates include proficiency in the following areas/aspects:
3. Git version control system
4. Ability to collaborate and communicate complex technical concepts.
5. Experience working with charting libraries (i.e. ChartJS, Chartist, Grafana).
6. Experience with ReactJS 
7. Experience building highly scalable, high performance, responsive web applications
8. Experience in fundamental front end web technologies including but not limited to HTML, CSS, JavaScript - Minimum work experience 2 years

Languages/Frameworks

Javascript, React, HTML/CSS

Preferred Qualifications

1. Experience building, adopting and maintaining RESTful APIs.
2. A passion for all things UI and Front End
3. Ability to work in a fast-paced and agile development environment
4. Strong customer focus and obsession with quality
5. Experience working with UI for data-heavy products. 

• Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
• Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
• Docker and Kubernetes (EKS)
• Linux/UNIX Administration (Amazon Linux and RedHat).
• Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
• Configuration Management tools (Chef or Puppet or ansible).
• Log aggregations tools such as Elastic and/or Splunk.
• Automate infrastructure and application deployment-related tasks using terraform.
• Automate repetitive tasks required to maintain a secure and up-to-date operational environment.

Responsibilities

• Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
• Build AWS or other public cloud infrastructure using Terraform.
• Deploy and manage Kubernetes (EKS) based docker applications in AWS.
• Create custom OS images using Packer.
• Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
• Liaison between application development, infrastructure support, and tools (IT Services) teams.
• Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
• Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
• Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
• Learn on the job and explore new technologies with little supervision.
• Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.

Who we have in mind:

• Solid experience in building a solution on AWS or other public cloud services using Terraform.
• Excellent problem-solving skills with a desire to take on responsibility.
• Extensive knowledge in containerized application and deployment in Kubernetes
• Extensive knowledge of the Linux operating system, RHEL preferred.
• Proficiency with shell scripting.
• Experience with Java application servers.
• Experience with GiT and Subversion.
• Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
• Experience working in a large-scale operational environment.
• Internet and operating system security fundamentals.
• Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
• Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
• Experience with Configuration Management Automation tools (chef or puppet).
• Experience with virtualization, preferably on multiple hypervisors.
• BS/MS in Computer Science or equivalent experience.
• Excellent written and verbal skills.

Education or Equivalent Experience:

• Bachelor's degree or equivalent education in related fields
• Certificates of training in associated fields/equipment’s