Product Manager

About the Role

We are hiring for our client for the role of Java Developer. The ideal candidate should have strong expertise in backend development, Java-based microservices architecture, and REST API development. This role involves designing, developing, debugging, and optimizing enterprise-grade applications in a collaborative environment.

Key Details

• Location: PAN India (Bangalore Preferred)
• Work Mode: Hybrid
• Experience: 8–12 years
• Compensation: ₹15 LPA – ₹25 LPA
• Open Positions: 10
• Notice Period: Immediate to 15 days preferred

Key Responsibilities

• Develop backend services and microservices using Java
• Design and build REST APIs for enterprise applications
• Participate in application architecture, design, and development activities
• Debug, test, and optimize application performance
• Support deployment, maintenance, and production issue resolution
• Collaborate with cross-functional teams to deliver scalable solutions
• Ensure code quality, best practices, and performance optimization

Required Skills

• Strong hands-on experience in Java development
• Experience with backend services and microservices architecture
• Expertise in REST API development
• Strong debugging and performance optimization skills
• Good understanding of application deployment and maintenance
• Strong problem-solving and collaboration abilities

Eligibility Criteria

• Candidates available within 0–15 days preferred
• Strong alignment with the requirement

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

• School sales : Primary responsibility is to sell to schools and bring them onboard o Tie up with schools and onboard them so that we can offer the the comapny plan to the parents in the school
  • Negotiate and get into commercial agreements with schools o Upsell our other payment products in the schools

• Stakeholder Management in Schools:
  • Enable the company to liaison with the schools tied up with, for close to everything from meeting the parents, doing events etc.
  • Forge a strong relationship with the school management and principal and be their first port of call on anything to do with finances
• Team Building- Build a high quality sales team and lead it in that city

🔎 What are we looking for?

• Self-starter with a high sense of ownership → Comfortable to work with minimal supervision and do sales independently
• Ability to drive sales and closures → Have the capability to do standalone meetings with school management and drive closures
• Hungry to learn and grow → Passion to learn & be a better version of oneself; motivated to succeed
• Bias for action → Have the temperament to experiment and execute in uncertainty
• Hustler → Ability to generate resources to solve a problem
• Intellectual honesty → Always seeking and presenting truth irrespective of personal POV or beliefs
• Mission-oriented → Deeply care about delivering value and making an impact on customer’s lives

• 3+ years of doing b2b sales
• Entrepreneurial mindset - the ability to be able to crack school deals independently and work to get tangible results without too much handholding
• Willingness to be on the ground most of the time and doing field sales
• Relevant experience of selling to schools is desirable but not a requirement

• Becoming a part of the early core team
• Competitive salary plus ESOPs
• Work with colleagues from strong backgrounds & hungry to succeed
• Opportunity to interact with and learn from high-pedigree investors & mentors - o VCs: Elevation Capital (erstwhile SAIF Partners), Matrix Partners
• o Select angel investors: Kunal Shah, Nithin Kamat, Amit Ranjan 

Apply only on this link https://loginext.hire.trakstar.com/jobs/fk0qsz2?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk0qsz2?source=

LogiNext is looking for a dynamic and competent professional to manage the efficient execution of accounting services. The work at LogiNext is very fast paced, agile, and hence, you must be able to multitask to deal smoothly with competing levels of priority.

Responsibilities

Enter and validate data, numbers, figures, postings, and documents for accuracy. Organize, secure, and maintain all files, records, cash and cash equivalents in accordance with policies and procedures. Record, store, access, and/or analyze computerized financial information. Classify, code, and summarize numerical and financial data to compile and keep financial records, using journals, ledgers, and/or computers. Prepare, maintain, audit, and distribute statistical, financial, accounting, auditing, or payroll reports and tables. Complete period-end closing procedures and reports as specified. Prepare, review, reconcile, and issue bills, invoices, and account statements according to company procedures. Manage accounts payable and receivables, follow-up and resolve past due accounts and vendor invoices until payment in full is received or resolved. Support all internal and external audits

Requirements

Bachelor’s degree in accounting, finance, commerce or related field 2 to 4 years of relevant experience in corporate finance and accounting Proficiency in Microsoft Office, Zoho Books, Oracle NetSuite or similar accounting software Proficiency in statutory and tax filings including GST, TDS, PF, PT, MLWF, ESIC, sales tax, income tax and related reconciliations Experience of accounting standards Indian GAAP and US GAAP Experience in preparing management reporting (MIS), company vauations, stock option agreements and related computations Experience of secreterial filings with regularory authorities like RoC in India, RBI in India and SEC in the US Multitasking ability and ability to meet the targeted deadlines Strong numerical aptitude and attention to detail Excellent communication skills, both verbal and written Good time management and organizational skills

Diagnal Technologies is a fully owned subsidiary of Diagnal Inc, Hong Kong.  It’s a product company focusing on media and entertainment clients, creating Video on Demand apps for their customers. We are a team of OTT video solution specialists helping our customers build the new digital media industry in Asia Pacific and beyond. We create viable revenue generating video streaming products, enable our customers to gain business and operational insights through big data analytics and empower them to engage with their users more effectively through targeted marketing campaigns. Started its Development Center in Technopark Phase III campus and focusing on Indian and International clients.

Position: Senior Android Developer
Must have skills-Kotlin, MVVM architecture, Dependency Injection(Dagger/KOIN)

Job Description

You have:

• 1-3 years of experience of Android development in a project services or product engineering organisation
• Experience with developing highly polished consumer facing user interfaces with smooth interactivity
• Published applications on the Google Play Store
• Self motivation and ability to manage your own time to get the job done at the high international quality levels we expect
• An engineering Degree in computer science or equivalent practical experience
• A solid understanding of operating system fundamentals, application performance optimisation and backend integration

As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.

• Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Working on Docker images and maintaining Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Working on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
• Required Technical and Professional Expertise.
• Minimum 4-6 years of experience in IT industry.
• Expertise in implementing and managing Devops CI/CD pipeline.
• Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
• Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
• Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience with working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience and well versed with Jira tool is a plus.

• Very Strong knowledge and programming skills on C,C++
• Should have knowledge and experience of developing ANSI C based applications
• Capability to implement core technical functionality as per functional requirements of the solution
• Strong knowledge of data structures, concurrency control, objected oriented design and development (OOA& OOD)
• Working experience with Linux
• Adherence to source control and versioning – SVN is a plus