Technical Product Manager

We are looking for an Engineering Lead to own the entire technology stack — from onboarding and underwriting to disbursals, repayments, and collections — and to build the engineering function into something genuinely AI-native. 

What You'll Own 

● Full tech stack: backend, frontend, infrastructure, integrations, and data pipelines 

● Real-time underwriting and decisioning systems 

● LOS/LMS architecture — onboarding, disbursals, repayments, and collections

● Integrations with bureaus, KYC providers, account aggregators, and payment gateways 

● Reconciliation systems — disbursement, repayment, and NACH reconciliation end-to-end 

● AWS infrastructure: scaling, reliability, uptime, and cloud cost ownership ● Data infrastructure for the credit and risk team — feature pipelines, model serving, experiment infrastructure 

● Engineering leadership: hiring, sprint planning, code reviews, and execution standards 

● Compliance systems: RBI guidelines, DPDP, KYC/AML, e-NACH, e-sign 

AI-Native Engineering 

This is a core part of the role, not a bonus. You will build a machine-readable knowledge base of the entire codebase — architecture, data models, service contracts, coding standards, decision history — so that AI agents working on code have the context to produce accurate, consistent output. You will build skills for code review, developer onboarding, and recurring engineering workflows. You will build a code review pipeline where agents do the first pass on every pull request. The knowledge base and the skills improve over time as the team grows and the product evolves. 

What We're Looking For 

● 7+ years in software engineering, with at least 2 years leading teams or architecture

● Strong hands-on experience with Python, Django, and React Native

● Deep expertise in AWS and cloud-native architecture 

● Experience with both SQL and NoSQL databases 

● Strong understanding of distributed systems, microservices, and API design

● Experience owning reconciliation or payment flow infrastructure in a lending or payments context

● Prior experience in fintech / NBFC / digital lending — mandatory

● Strong understanding of the full loan lifecycle — mandatory 

● You have used LLMs seriously as engineering tools and have strong opinions about what makes AI-assisted development produce good output versus mediocre output 

Bonus: Kubernetes / Kafka, AI/ML-driven underwriting, Account Aggregator framework, e-NACH / e-Sign / Video KYC integrations 

What Success Looks Like 

● scales with strong uptime, performance, and reliability

● Reconciliation runs cleanly — no financial discrepancies surface late ● A new engineer joins and is writing standard, correct code within their first week

● The credit team is never blocked on an engineering dependency 

● Engineering health metrics are tracked and visibly improving 

● AI agents are doing the structured first pass on code reviews, and the system gets smarter over time 

Strong Software Engineer, Engineering Manager Profiles

Mandatory (Experience) – Must have minimum 4+ years of hands on experience in software development

Mandatory (Tech Skillset) – Must have 3+ years of hands-on experience in backend development using Java / Node.js / Go / Python (any 1) OR 3+ YOE in frontend Development using React / Angular / Vue (any 1)

Mandatory (Mentoring Skillset) – Must have at least 1+ year of experience leading or mentoring a team of software engineers.

Mandatory (Tech Skills) – Must have a solid understanding of microservices architecture, APIs, and cloud platforms (AWS / GCP / Azure).

Mandatory (DevOps Skillset) – Must have hands-on experience working with Docker, Kubernetes, and CI/CD pipelines.

Mandatory (Company) – Top-tier/renowned product-based company (preferred Entreprise B2B SaaS)

Mandatory (Education) – Undergraduation from Tier-1 Engineering College (IIT, BITS, IIIT, NSUT, DTU, etc.)

Mandatory (Note): No hire policy from Sprinklr

Job Title: Java Engineering Manager/Lead

Experience range:- 10 + Years

Location:- Pune / Mumbai

Knowledge and Skills:

• Strong proficiency in Core Java, Spring Boot.
• Experience with RESTful APIs, microservices, and multithreading.
• Solid understanding of RDBMS (MySQL/PostgreSQL).
• Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD tools like Jenkins, GitLab, or GitHub Actions.
• Background in Fintech, particularly Digital Lending, Supply Chain Finance, or Banking products.
• Experience working in agile/scrum environments.
• At least 3 years of experience leading/managing a team of Java developers.

Key Responsibilities:

• Lead and mentor a team of Java developers, ensuring technical excellence and timely delivery.
• Actively participate in coding, code reviews, architecture decisions, and system design.
• Collaborate with cross-functional teams including Product Managers, QA, and DevOps.
• Maintain a strong hands-on presence in backend Java development and microservices architecture.
• Own the end-to-end lifecycle of features from requirement to deployment and post-release support

Responsibilities:

• Develop application modules independently and fix any bugs promptly.
• Perform unit testing for the development work carried out
• Act as a mentor to the junior resources and provide technical guidance.
• Build scalable and secure video conferencing platforms using WebRTC
• Integrate AI-based chatbots, real-time messaging, and WebSocket channels
• Troubleshoot problems and provide solutions.
• Conduct and participate in project planning & scheduling, design discussions, and provide assistance during testing.
• Remain up to date with the modern industry practices involved in designing and developing high-quality software.
• Ability to perform engineering and identify and fix bottlenecks.

Must Have:

• Must have at least 5+ years of experience in MERN Stack development.
• Strong expertise in Nodejs, ReactJs, and MongoDB

       ●  Must possess strong analytical skills to be able to break down complex problems into

smaller atomic units of work.

• Good knowledge of Express.js & JS libraries.
• Experience with WebRTC for video conferencing solutions
• Proficiency in real-time communication using Socket.IO/WebSockets
• Hands-on with AI chatbot integration or NLP-powered UI interactions
• Sound understanding of microservices architecture.
• Team Handling experience for at least 2 years. 
• Excellent grasp of data structures and designing and developing Rest APIs.
• Good skills in NoSQL (MongoDB or equivalent).
• Experience in developing responsive web applications.
• Willingness to learn and adopt new technologies in a short period as required by

the project.

• Sound understanding of Agile and Scrum methodologies and ability to participate in Sprint

ceremonies.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Job Description

• Planning with the product advancement group to finish item thoughts 
• Utilizing different programming to plan the items. Has hands on coding experience across different technology stacks. Willing to experiment & explore across technologies and identify the best suited
• Performing constant market analysis of competing products
• Testing item models to control configuration blemishes 
• Talking with delivery team to work out financially savvy producing methodology and solutions. 
• Ability to ideate, code, setup a prototype and on approval design the entire application as per business requirements.
• Complete knowledge of Full stack development. .
• As a product engineer, our Super Hero is expected to participate in all parts of development life cycle. Create user friendly, cost effective product design.
• Ability to research w.r.t features, UX, functionalities and finally testing before being rolled out.

Job Requirements

• Familiarity with all stages of product development life cycle.
• Extensive experience in writing codes, deep understanding of platform architecture, ability to design & develop solutions & knack towards problem solving.
• Deep engineering skills in various technology stacks, ability to handle big data concepts, keen to work in IIOT & machine data domain.  
• Ability to effectively present ideas & communicate with team members within & outside organization, ability to write routine reports and correspondence and ability to speak confidently & effectively before groups of customers or other Donaldson colleagues.
• We are happy to have a technology geek take this position as long as s/he is able to align the product roadmap to organization’s growth roadmap.
• Good communication and presentation skills
• Effective written and verbal skills in English Language are mandatory.
• This is a global role and the candidate may be required to travel to Smart Ship Hub’s different delivery centres.

Experience Requirements & Educational Qualification

• Atleast 5 years of proven product engineering experience. Must have: managed product life cycle, knowledge of product roadmap, extensive coding experience.
• Should be open to working in Disruptive Application Design domain, IIOT, Smart Sensors, Big data

Evox Systems is an innovative IT company founded in Mumbai in 2014 and now based in Vadodara. We are a small international team of like-minded, young, enthusiastic individuals from India and Russia. We are on a hunt for curious, hardworking, like-minded people for various roles at the organization. If you feel you fit the bill, shoot in your CV or hit apply.

We are looking for an experienced full-stack developer to work on a number of company's web applications.

Responsibilities:

- Lead the development of a new web application,

- Oversee and guide the work of junior developers,

- Discuss high-level technical problems with the tech lead,

- Discuss user experience with the customer representative,

- Write high-quality code across the whole stack (MERN),

- Review code of the junior developers,
- Manage the team and product development.

Requirements:
- Experience in fullstack development,

- Experience in leading a team of junior developers,
- Ability to understand and implement nontrivial algorithms,
- Good knowledge of networking standards (HTTP specs, HTML specs, etc).

Working conditions:

- Working days: 5 days a week, from 10:00 till 19:00,
- Employment type: full-time
- Job location:

  * We will give preference to candidates who are willing to relocate to Vadodara, Gujarat. We will provide relocation assistance and support.

  * Exceptional candidates willing to work remotely will also be considered.