Mean Stack Developer

🚀 Hiring: Java Full Stack Developer (5+ Yrs)

📍 Location: Pan India | 🏠 Remote Opportunity

⏱️ Notice Period:- Immediate Joiner .

We are hiring for a Java Full Stack Developer with hands-on experience in Java, Spring Boot, and Angular. If you love building scalable, high-performance web apps and want to work remotely with a dynamic team, this is for you!

🔧 Must-Have:

5+ years of experience

Strong in Java, Spring Boot, Angular

Good knowledge of REST APIs, databases, and Git

Excellent problem-solving & communication skills

Department

Product & Technology

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

Growth

Title upgrade + salary revision at 12–18 months for strong performers

Why this role is different from most Data Engineer postings

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.
• Create materialized views and derived tables optimized for dashboards and internal reporting tools.
• Analyse client transaction history to surface patterns in investment behaviour and financial discipline.

Applied ML & AI-Driven Development

• Use Python (Pandas, NumPy, Scikit-learn) for trend analysis, forecasting, and predictive modelling.
• Implement classification or regression models to support financial pattern detection.
• 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.

Data Quality & Governance

• Own data integrity end-to-end in a live, high-stakes financial environment.
• Build and maintain validation and cleaning protocols across all financial datasets.
• Maintain Excel models, Power Query workflows, and structured reporting outputs.

Collaboration & Junior Mentorship

• Work directly with Product, Investment Research, and Wealth Advisory teams.
• Translate open-ended business questions into structured queries and measurable outputs.
• Guide 1–2 junior trainees — review their work, set code quality standards, and help them grow.
• Present findings clearly to non-technical stakeholders — no jargon, just clarity.

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
• Investment lifecycle — SIPs, Lump Sum, Redemptions, Switches, and STPs
• Portfolio allocation and benchmarking against indices (e.g. Nifty 50, category averages)
• 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:

• Has worked at a small startup before and is used to wearing multiple hats
• Finds broken or slow data systems genuinely irritating and fixes them without being asked
• Reaches for Python or an LLM when there is a repetitive task — automating is instinctive
• Is comfortable saying 'I don't know but I'll find out' and follows through independently
• Wants visibility and ownership, not just a well-defined job description
• Is looking for a role where strong performance is directly visible and rewarded

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.

Preferred Background

• 2–4 years in a data engineering or analytics role at a startup or small Fintech
• Experience in a live product environment where data errors have real consequences
• Exposure to portfolio analytics, investment research, or wealth management platforms
• Has mentored or reviewed code for at least one junior team member

Hiring Process

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

• Screening Questions — 5 minutes online
• Online Challenge — MCQ(Data, SQL, AWS, etc), and one applied ML or analytics problem, Communication Skills and Personality (focused, not trick questions)
• People Round — 30-minute video call, culture and communication
• Technical Deep-Dive — 1 hour in person, live financial data problems and your past work
• Founder's Interview — 1 hour in person, growth conversation and mutual fit
• Offer & Background Verification

REVIEW CRITERIA:

MANDATORY:

• Strong QA Leadership / Test Manager / QA Architect Profiles.
• Must have 12+ years of overall IT experience in Quality Assurance / Testing roles.
• Must have experience owning end-to-end testing strategy for product platforms, covering Manual, Automation, Performance, and Security testing
• Must have 7+ years of experience in B2B SaaS preferably working in microservices-driven environments in testing
• Must have 3+ years of leadership experience managing 5-6 members in QA / Testing teams.
• Must have hands-on experience designing and implementing test automation frameworks. (Robot Framework experience is highly preferred)
• Must have hands-on exposure to CI/CD integration of automated tests using tools such as Azure DevOps / Jenkins / GitHub Actions
• Must have experience in at least one of the following domains: ERP / POS / OMS (any one is mandatory; ERP is a strong plus)
• B2B SaaS companies
• Candidates must be based in Gurgaon or nearby locations

PREFERRED:

• Candidates who have worked on products from scratch and have seen the entire SDLC end-to-end (requirement → development → testing → release → production) are preferred.
• QA certifications such as ISTQB, CQM, or equivalent are a plus.

ROLE & RESPONSIBILITIES:

You’ll be the architect and guardian of quality across the company's product suite. You’ll work alongside product dev, QA, and PM teams to proactively define, advocate, and scale a best-in-class testing ethos.

KEY RESPONSIBILITIES:

• Define own testing strategy for G1 suite of products across ERP, POS, Zwing, Browntape, Reporting products.
• Lead end-to-end test execution across manual, automation, performance, and security domains.
• Design and implement test automation frameworks—selection, guidelines, metrics, CI/CD integration.
• Collaborate with PMs, engineers, DevOps to integrate quality measures into the pipeline, from sprint backlog to release.
• Foster quality culture via QA guilds, retrospectives, cross functional workshops, knowledge sharing.
• Establish quality KPIs (e.g., defect leakage, automation coverage, test pass rates) and report to CTO and Leadership.
• Monitor and improve test effectiveness with metrics, root cause analysis, and continuous improvement.
• Mentor QA engineers—upskill for best practices, tooling, automation techniques.
• Ensure compliance and readiness for external audits, regulatory requirements and production rollouts.

IDEAL CANDIDATE:

• B.E. / B Tech from a reputed institute with 12–15 years of experience
• 7+ years of leading testing programs in B2B SaaS/microservices environments.
• Strong domain knowledge across ERP/POS/OMS/domainspecific systems.
• Expertise in automation frameworks (Robot framework).
• Skilled in performance/security testing tools (JMeter, Locust, OWASP ZAP).
• Familiarity with CI/CD platforms (Azure DevOps, Jenkins, GitHub Actions).
• Proven ability to build strong collaboratives across QA, PM, and engineering.
• Direct experience with quality metrics and organisational improvement initiatives.
• Excellent communication—able to translate strategic vision into actionable roadmaps.

PERKS, BENEFITS AND WORK CULTURE:

• Comprehensive health insurance coverage.
• Excellent rewards and recognition policy.
• Transparent compensation policy with no unnecessary deduction in CTC.
• Annual company off-site and a variety of events, celebrations throughout the year.
• Travelling opportunities between our offices across the country.
• Annual company walkathon & related sporting events.
• Quarterly Coffee with CEO.

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

The Solution Architect plays a critical role in the architecture design and development of globally consistent Liquidity and Cash Management solutions and is a key contributor to the overall delivery in a fast-paced and challenging environment.

Responsibilities:

• Develops technology road maps, while keeping up-to-date with emerging technologies, and recommends business directions based on these technologies
• Provides technical leadership and is responsible for developing components of, or the overall systems design.
• Translates complex business problems into sound technical solutions.
• Provides integrated systems planning and recommends innovative technologies that will enhance the current system.
• Contribute to ongoing architecture governance and reviewing proposed solutions.
• Lead integration of new and existing components with ICG Platforms.

Qualifications:

• 10+ years relevant experience
• Experience as Full-Stack Developer and Experience as Architect Desired
• Understanding of integration technologies concepts like Webservices, REST API etc
• Familiar with DevOps tools like Maven, Jenkins, Bitbucket etc
• Consistently demonstrates clear and concise written and verbal communication
• Management and prioritization skills
• Ability to develop working relationships
• Ability to manage multiple activities and changing priorities
•  

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

VP engineering would be leading the technology (engineering) team of 25 (and counting) to build a world-class SAAS product that is serving 7000+ businesses (or 50,000 users) across the globe. The person would be responsible to oversee the product development and technology research ensuring scalability and effectiveness. The core role would involve leading development, managing team & processes leading to effective technology products as an outcome.

The person would be responsible for leading the product development to scale to a million businesses over the next ten years or 25K businesses in the next 3 years. The person should be able to build a team & process accordingly to ensure a smooth growth path for the product and company. The mission would be to build fully horizontal architecture & micro services with robust security.

• Leading the technology development by learning and researching the best upcoming technology. Analyzing current technology gaps in the system and evangelizing for better state of art technology development.

• Evaluating technology architecture, gaps, and improvisation requirements. Building new architectures for further product development along with elaborated documentations.

• Leading the team of software engineers to guide them with the best technology and process practices. Coaching and motivating the team to ensure enhanced performance across teams. 

• Engaging with Product teams to shape the product roadmap. Working with the tech support team to analyze open issues and bugs and ensure an efficient process for fixing the same.

• Building processes for product development, security audits, new recruitment, technology research, technical documentation, etc. 

About OpsCruise

Digital business is driving a fundamental shift to cloud-native applications, creating a new set of operational and performance challenges ill-suited to the currently available solutions. At OpsCruise, we imagine a world of autonomous operations and are innovating a fundamentally different approach to performance management. OpsCruise’s vision is to automate the performance assurance of cloud applications using a model-driven closed-loop platform.

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Team

The OpsCruise team represents a global and talented team that includes domain experts in IT Operations, Networking, Storage, Hyperscale Systems and AI/ML that have built market-leading solutions at companies such as Cisco, Google, Hitachi, HP, Infoblox, Oracle and VMWare among others.

Our engineering culture values creativity, pragmatism, honesty, and simplicity to solve hard problems the right way.

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Role

We are looking for a Senior QA Engineer who will join our team building and rolling out our SaaS platform in the cloud AI/Ops space.

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Our Technology Stack

Our product involves the following technology areas with one or more tools in use in each area:

1. Container technologies, including creating Docker plugins and extensions
2. Serverless technologies including instrumentation, addons
3. Orchestrators including Kubernetes, OpenShift, Mesos, Swarm
4. Metric generation and collection including Prometheus and tools such as Dynatrace and Datadog
5. Tracing including OpenTracing, Jaeger
6. Graph tools and Databases including neo4j, JanusGraph, TinkerPop/Gremlin
7. TimeSeries databases such as Prometheus, OpenTSDB
8. NoSQL and Indexing tools such as MongoDB, Cassandra, Solr and Elastic
9. Languages including Java, Scala, Javascript, Python, R, and Go
10. Messaging tools including Kafka, Akka
11. Big Data tools including HDFS, YARN, Spark, Flink
12. AI/ML techniques including Statistical Analysis, Classification, Deep Learning, etc.
13. Cloud services: AWS, GCP, and Azure, their services in databases, networking and ML tools
14. High performance User Interfaces including AngularJS, Vue, D3.js and local stores
15. Authentication and Authorization including tools such as Okta and KeyCloak.

Responsibilities

1. Understand user level requirements, write up the test strategy, derive test plan and test cases in detail.
2. System and integration testing with automation of test cases using Python or Java.
3. Use test frameworks such as Robot Framework.
4. Use traffic generator tools such as JMeter for performance testing
5. Set up the target test environments in AWS, Azure or GCP
6. Containers based environment setup with Kubernetes and Docker, monitoring tools setup with Prometheus
7. Debug incidents and issue to narrow down to a root cause
8. Understand and reproduce internally issues reported by customers

Qualifications

The ideal candidate must have the following qualifications.

1. B.E/B.Tech Degree from a reputed institution with at least 4 years of relevant experience.
2. Hands-on experience with test automation using Python or Java.
3. Experience with test frameworks such as Robot Framework or TestNG.
4. Traffic generation tools usage such as curl-loader or JMeter
5. QA engineers for Networking Technology products such as switches, routers, L4-L7 products testing can also apply.
6. Knowledge of public clouds, AWS, Azure or GCP, is desired
7. Working knowledge in Kubernetes, Docker or Openshift environments required
8. Hands on experience with Linux
9. Strong problem solving and debugging abilities
10. Familiarity with continuous integration tools such as Jenkins or CircleCI
11. Interest in machine learning (ML) and data science is a plus

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems. 

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LOCATION

Chennai, India

• CANDIDATE MUST HAVE REAL ESTATE AND RELEVANT EXPERIENCE 
• IMMEDIATE JOINERS
• INTERVIEW WITHIN 2 DAYS
• COMPANY NAME - SQUAREYARDS.COM (SQUAREYARDS CONSULTING PVT. LTD.)

Job Title: Area Manager

Experience - 5 to 8 years *Real Estate*

Resource: Team Handling Role

Work Location: Chennai

Age: Below 30

Job Title: Regional Manager

Experience - Above 8 years *Real Estate*

Resource: Team Handling Role

Work Location: Chennai

Age: Below 35

Organization Summary

Business development department is a combination of strategic analysis, marketing and sales. The department play vital role in the organization in bringing new customers by which expand financial growth to the organization.

Key Performance Area

* Generation Sales

* New Business Development / Conversation

* Service Delivery

* Customer Relationship (Customer Satisfaction and Feedback)

* Exploring company brand value in the market

Responsibilities & duties

* Responsible for generating sales with existing customers and developing opportunities with new customers within assigned territory

* Schedule and conduct weekly sales meetings and achieving targets

* Liaising between customers and the company for up-to-date status of service, pricing and new product release launches.

* Report on sales activities to senior management

* Reaching the targets and goals set for your area

* Establishing, maintaining and expanding your customer base

* Increasing business opportunities through various routes to market

* Compiling and analyzing sales figures

* Collecting customer feedback and market research

* Keeping up to date with products and competitors

Required Candidate profile

* Impeccable profile with high professionalism.

* Good experience in Sales

* Good communication, presentation and negotiation skills.

* Excellence in sales and marketing with positive attitude and team playing ability.

* A flair for establishing an instant rapport with clients.

* Dynamic, aggressive and result oriented.

*To enjoy networking and meeting new people.

Company Profile: www.squareyards.com

Please share your updated resume with below details:

Qualification -

Total Experience -

Relevant Experience -

Present Location -

Last CTC -

Expected CTC -

Communitate fast and easily :  8 nine 7 one 9 six 8 one 9 one

Quick Resume share :  sarita dot kumari at squareyards dot co dot in

Note :- Preferable and consider only Chennai based candidates.

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