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Software Engineer/ Senior Software Engineer
Software Engineer/ Senior Software Engineer
Cleo Communications's logo

Software Engineer/ Senior Software Engineer

Suvinee Vats's profile picture
Posted by Suvinee Vats
2 - 6 yrs
₹5L - ₹15L / yr
Bengaluru (Bangalore), Bengaluru (Bangalore)
Skills
Core Java
Concurrency
Web Services
Algorithms
Data Structures
Multithreading
RESTful APIs
Cleo India team (www.cleo.com) is looking for senior developers who will help design and develop key features and enhancements in the product suite. • Must have background in product development. Should have worked on all the phases of product development cycle. Must have substantial involvement in design and implementation. • Understand requirements and develop reusable code using design patterns & component architecture and write unit test cases • Strong coding and design skills with prior experience in developing scalable & high availability applications using Core Java/J2EE • Good Analytical and Problem solving skills (exposure to Algorithm, etc) • Development experience in SOA and integration technologies like Web services, EJBs, SOAP, etc. is desired. • Excellent team player and easy to work with person. • Good communication skills to interact with extended team in HQ. • Ability and willingness to learn new technologies and domains quickly. This position is for Bangalore location. Qualifications Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. As a member of the Cleo India labs, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. B.E, B.Tech, MCA or equivalent experience relevant to functional area. 2+ years of software engineering or related experience.
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About Cleo Communications

Founded :
2015
Type :
Product
Size :
20-100
Stage :
Profitable

About

Cleo provides secure file transfer software that helps businesses govern their data flows. With Cleo, businesses can ensure the secure transfer of sensitive data and streamline their operations. Cleo operates in various industries, including healthcare, finance, and retail. Cleo is a software company that provides secure file transfer solutions to businesses. The company was founded in 1976 and has since helped businesses streamline their operations by ensuring the secure transfer of sensitive data. Cleo's software allows businesses to govern their data flows, ensuring that data is transferred securely and efficiently. Cleo's solutions have been used in various industries, including healthcare, finance, and retail. The company's software is designed to solve the problem of data security and streamline data transfer processes. Cleo's solutions are trusted by businesses of all sizes, from small startups to large enterprises.
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Location

On-site | Prabhat Road, Pune

Experience

3-5 Years in a Data Engineering or Analytics Role

Domain

Fintech / Wealth Management — non-negotiable

Compensation

11-12 LPA Fixed + Performance Bonus

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You will work directly with the founding team on a live wealth management platform used by HNI and NRI clients. You will not spend years in a queue waiting to matter your work ships to production, your analysis influences product decisions, and you will guide junior teammates from day one. If you perform, a raise and title upgrade are on the table within 1218 months. This is the kind of early-team role that defines careers.


About Cambridge Wealth

Cambridge Wealth is a fast-growing, award-winning Financial Services and Fintech firm obsessed with quality and exceptional client service. We serve a high-profile clientele NRI, Mass Affluent, HNI, and ultra-HNI professionals and have received multiple awards from major Mutual Fund houses and BSE. We are past the zero-to-one stage and now focused on scaling our features and intelligence layer. You will be joining at exactly the right time.


What You Will Be Doing

This is a central, hands-on data engineering role at the intersection of financial analytics and applied ML. You will own the data pipelines and analytical models that power investment insights for wealth management clients transforming transaction data and portfolio information into measurable, actionable intelligence.

We are not looking for someone who just keeps the lights on. We want someone who looks at a working system and immediately sees how to make it 10x faster, cleaner, and smarter using AI and automation wherever possible.


Key Responsibilities:


Data Engineering & Pipelines

  • Build and optimize PostgreSQL-based pipelines to process large volumes of investment transaction data.
  • Design and maintain database schemas, foreign tables, and analytical structures for performance at scale.
  • Write advanced SQL — window functions, stored procedures, query optimization, index design.
  • Build Python automation scripts for data ingestion, transformation, and scheduled pipeline runs.
  • Monitor AWS RDS workloads and troubleshoot performance issues proactively.


Financial Analytics & Modelling

  • Develop analytical frameworks to evaluate client portfolios against benchmarks and category averages.
  • Build data models covering mutual fund schemes, SIPs, redemptions, switches, and transfer lifecycles.
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  • Analyse client transaction history to surface patterns in investment behaviour and financial discipline.


Applied ML & AI-Driven Development

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  • Use AI tools — LLMs, Copilots — to accelerate ETL development, code quality, and data cleaning.
  • Identify opportunities to automate repetitive data tasks and advocate for smarter tooling.


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Collaboration & Junior Mentorship

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Skills — What We Need vs. What Helps

Skill / Tool

Requirement


Must-Haves:

SQL & PostgreSQL (window functions, stored procedures, optimization)

Python — Pandas, NumPy for data processing and automation

ML fundamentals — classification or regression (Scikit-learn)

AWS RDS or equivalent cloud database experience

Financial domain knowledge — mutual funds, SIPs, portfolio concepts

Python data visualization — Matplotlib, Seaborn, or Plotly

Strong Advantage

Excel — Power Query, advanced modelling

Materialized views, query planning, index optimization

Experience with BI/dashboard tools

Good to Have

NoSQL databases

Prior fintech or wealth management startup experience


Financial Domain — Non-Negotiable

This is a wealth management platform. You must come in with a working understanding of:

  • Mutual fund structures, scheme types, and NAV-based transactions
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  • How HNI/NRI clients interact with financial products differently from retail investors

You do not need to be a CFA. But if mutual funds and portfolio analytics are completely new territory, this role is not the right fit right now.


The Culture Fit — Read This Carefully

We are a small, fast-moving team. This is not a place where you wait for a ticket to arrive in your queue. The right person for this role:

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  • Wants visibility and ownership, not just a well-defined job description
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Growth Path — What Happens If You Perform

This is not a vague 'growth opportunity' pitch.

If you hit the bar in your first 12–18 months, you will receive a salary revision and a title upgrade to Senior Data Engineer or Lead Data Engineer depending on team expansion. As we scale our Data and AI team, this role is the natural stepping stone to a team lead position. You will also gain direct exposure to founding-team decision-making — the kind of access that is hard to get at larger companies.


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Hiring Process

We respect your time. The process is direct and moves fast.

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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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