pathologist

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.

Numino Labs 

Business: Software product engineering services: Pune, Goa.

Clients: Software product companies in the USA.

Business model: Exclusive teams for working on client products; direct and daily interactions with clients

Client 

Silicon Valley startup in genAI: 45m+ in funding.

Product: B2B SaaS. 

Core IP: Physics AI foundation model for hardware designers with specific focus on semi-conductor chip design.

Customers: World's top chip manufacturers

Responsibilities

• Team player: Delivers effectively with teams; interpersonal skills, communication skills, risk management skills
• Technical Leadership: Works with ambiguous requirements, designs solutions, independently drives delivery to customers
• Hands on coder: Leverages AI to drive implementation across Reactjs, Python, DB, UnitTest, TestAutomation & Cloud Infra & CI/CD Automation.

Requirements

• Strong computer science fundamentals: data structures & algorithms, networking, RDBMS, and distributed computing
• 8-15 years of experience on Python Stack: Behave, PyTest, Python Generators & async operations, multithreading, context managers, decorators, descriptors
• Python frameworks: FastAPI or Flask or DJango or SQLAlchemy
• Expertise in Microservices, REST/gRPC APIs design, Authentication, Single Sign-on
• Experience in high performance delivering solutions on Cloud
• Some experience in FE: Js & Nextjs/ReactJs
• Some experience in DevOps, Cloud Infra Automation, Test Automation

JOB DETAILS:

* Job Title: Associate III - Azure Data Engineer 

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -6 years

* Location: Trivandrum, Kochi

Job Description: Azure Data Engineer (4–6 Years Experience)

Job Type: Full-time 

Locations: Kochi, Trivandrum

Must-Have Skills

Azure & Data Engineering

• Azure Data Factory (ADF)
• Azure Databricks (PySpark)
• Azure Synapse Analytics
• Azure Data Lake Storage Gen2
• Azure SQL Database

Programming & Querying

• Python (PySpark)
• SQL / Spark SQL

Data Modelling

• Star & Snowflake schema
• Dimensional modelling

Source Systems

• SQL Server
• Oracle
• SAP
• REST APIs
• Flat files (CSV, JSON, XML)

CI/CD & Version Control

• Git
• Azure DevOps / GitHub Actions

Monitoring & Scheduling

• ADF triggers
• Databricks jobs
• Log Analytics

Security

• Managed Identity
• Azure Key Vault
• Azure RBAC / Access Control

Soft Skills

• Strong analytical & problem-solving skills
• Good communication and collaboration
• Ability to work in Agile/Scrum environments
• Self-driven and proactive

Good-to-Have Skills

• Power BI basics
• Delta Live Tables
• Synapse Pipelines
• Real-time processing (Event Hub / Stream Analytics)
• Infrastructure as Code (Terraform / ARM templates)
• Data governance tools like Azure Purview
• Azure Data Engineer Associate (DP-203) certification

Educational Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Skills: Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage

Must-Haves

Azure Data Factory (4-6 years), Azure Databricks/PySpark (4-6 years), Azure Synapse Analytics (4-6 years), SQL/Spark SQL (4-6 years), Git/Azure DevOps (4-6 years)

Skills: Azure, Azure data factory, Python, Pyspark, Sql, Rest Api, Azure Devops

Relevant 4 - 6 Years

python is mandatory

******

Notice period - 0 to 15 days only (Feb joiners’ profiles only)

Location: Kochi

F2F Interview 7th Feb

• Procedures/Scripts/Manual Testing)
• Minimum 3 years of experience in SQA required
• Shares ideas and experiences with colleagues and business units that may improve performance
• Minimum of 3 years of work experience in software testing
• Demonstrated ability to independently interpret requirements and technical specifications, translate into thorough test plans and test cases, and execute test cases
• Review project test and implementation schedules

➢ Manage initial discovery calls with customers leads

➢ Understands Customer’s Business and keeping empathetic approach towards customers

➢ Building Trust and Transparency with Customers

➢ Go-getter attitude to close the lead

➢ Creating and delivering impressive presentation/demo to the customer

➢ Managing follow-up activities to ensure customer engagement

➢ Negotiating contracts

➢ Working on guidelines by senior level peer

➢ Gaining know-how expertise in the ERP Business Applications

➢ Preparing RFP/RFI as per the customers’ need

➢ Continuous efforts to achieve sales quotas

➢ Self upgradation through industry study and research

Greetings from 63 moons technologies!!!

We are currently looking for Technical Support Engineer (capital market domain) for our organization. It is a Work From Home profile.

63 moons technologies ltd. (63MT) is a global leader in creating and operating technology-centric, next-generation financial markets that are transparent, efficient and liquid, across multi asset classes, including equities, commodities, currencies and bonds, among others. Its highly robust and scalable exchange and trading technology, coupled with deep domain expertise, gives it a decisive edge in driving mass disruptive innovation that is unmatched in financial markets. This uniquely positions 63MT as the creator of electronic, organized and regulated financial markets for new asset and investor classes that are either under-served or economically unviable to be served by traditional markets.

Job Location: Andheri East, Mumbai 

Job Description:

• Candidate should have experience in Technical Support,
• Strong experience and knowledge of MS SQL,
• Experience in Networking, Issue handling
• Ability to provide network support
• Ability to work on web and windows based applications to provide technical support
• Ability to communicate well with clients and team
• Good Communication 
• Good to have Experience in AWS and Linux.
• Should be able to work in Rotational shifts (General, Afternoon and Night)*

Name:

Company:

Designation:

Current CTC:

Expected CTC:

Notice period:    

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

• Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
• Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to predict outcomes and identify key drivers
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

Requirements:

• Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
• 2+ years of strong working knowledge of SQL language
• Experience with visualization tools e. g., Tableau, Power BI
• Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
• Strong presentation and communication skills
• Experience in education sector is a plus
• Fluency in English