IT audit +Risk assessment

Job Details

- Job Title: Lead Software Engineer - Java, Python, API Development

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 8-10 years

- Employment Type: Full Time

- Job Location: Pune & Trivandrum/ Thiruvananthapuram

- CTC Range: Best in Industry

Job Description

Job Summary

We are seeking a Lead Software Engineer with strong hands-on expertise in Java and Python to design, build, and optimize scalable backend applications and APIs. The ideal candidate will bring deep experience in cloud technologies, large-scale data processing, and leading the design of high-performance, reliable backend systems.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using Java and Python
• Build and optimize Java-based APIs for large-scale data processing
• Ensure high performance, scalability, and reliability of backend systems
• Architect and manage backend services on cloud platforms (AWS, GCP, or Azure)
• Collaborate with cross-functional teams to deliver production-ready solutions
• Lead technical design discussions and guide best practices

Requirements

• 8+ years of experience in backend software development
• Strong proficiency in Java and Python
• Proven experience building scalable APIs and data-driven applications
• Hands-on experience with cloud services and distributed systems
• Solid understanding of databases, microservices, and API performance optimization

Nice to Have

• Experience with Spring Boot, Flask, or FastAPI
• Familiarity with Docker, Kubernetes, and CI/CD pipelines
• Exposure to Kafka, Spark, or other big data tools

Skills

Java, Python, API Development, Data Processing, AWS Backend

Skills: Java, API development, Data Processing, AWS backend, Python,

Must-Haves

Java (8+ years), Python (8+ years), API Development (8+ years), Cloud Services (AWS/GCP/Azure), Database & Microservices

8+ years of experience in backend software development

Strong proficiency in Java and Python

Proven experience building scalable APIs and data-driven applications

Hands-on experience with cloud services and distributed systems

Solid understanding of databases, microservices, and API performance optimization

Mandatory Skills: Java API AND AWS

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Pune, Trivandrum

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets. 

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products.

You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.

As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science, machine learning, and AI.

The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.

Responsibilities

• Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
• Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
• Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
• Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
• Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
• Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.

Who you are

You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

• 2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
• Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
• Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
• Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
• Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
• Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city.

We are looking for a Frontend Developer. As a Frontend Developer, you should be comfortable with Front-end languages, Frameworks, and third-party Libraries. You should also be a team playerwith a a knack for visual design and utility.

Responsibilities:

• Work with development teams and product managers in agile methodology
• Design client-side architecture
• Build the front-end of applications through appealing visual design
• Troubleshoot, debug and upgrade software
• Build features and applications with a mobile responsive design

Requirements:

• Proven experience as a Frontend Developer or similar role.
• Knowledge of multiple front-end languages and libraries (e. g. HTML/ CSS, JavaScript, XML, jQuery).
• Sound Knowledge of ES5 ES6 Javascript Standards
• Knowledge of multiple JavaScript Libraries/frameworks (e. g. React, Angular).
• Knowledge of multiple Global State Management Library (e. g Redux).
• Knowledge of Class-Based Component and Functional Components(Hooks)
• Familiarity with UI/UX design (Mobile Responsive).
• Excellent communication and teamwork skills.

Job Title: QA Automation Engineer

Location: Bangalore, Bannerghatta Road, GENZTECHPRO

Type: Full-Time

Experience: 2+ Years in QA Automation

About GENZTECHPRO:

At GENZTECHPRO, we are dedicated to delivering innovative technology solutions with an emphasis on quality, efficiency, and excellence. Located in the tech hub of Bannerghatta Road, Bangalore, we foster a collaborative and growth-oriented environment for talented individuals eager to make an impact in quality assurance and automation.

Job Summary:

We are seeking a skilled QA Automation Engineer with 2+ years of experience to join our quality assurance team. The ideal candidate will have hands-on experience in developing, maintaining, and optimizing automated testing frameworks. You will collaborate closely with developers, product managers, and manual QA to ensure our products meet the highest standards of quality.

Key Responsibilities:

• Test Automation Development: Design, implement, and maintain automated test scripts for web, mobile, and API platforms using tools like Selenium, Cypress, etc.
• Test Case Execution and Maintenance: Collaborate with the QA team to create, execute, and document test cases, ensuring high-quality test coverage.
• Defect Management: Identify, log, and manage defects found during testing, collaborating with the development team for resolution.
• Framework Optimization: Improve and optimize the test automation framework, focusing on efficiency, reliability, and scalability.
• Quality Metrics Tracking: Track and report on automation coverage, test execution times, and defect trends to measure the quality and stability of releases.
• Continuous Collaboration: Partner with cross-functional teams to understand requirements, validate new features, and ensure alignment with quality goals.

Skills & Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 2+ years in QA automation with solid knowledge of software testing methodologies.
• Technical Skills:
• Proficiency with automation tools like Selenium, Cypress, or Appium.
• Familiarity with scripting languages (e.g., JavaScript, Python, or Java).
• Experience with API testing tools such as Postman or Rest Assured.
• Knowledge of CI/CD tools like Jenkins or GitLab CI/CD.
• Soft Skills:
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills for effective collaboration.
• Self-driven with a proactive approach to quality improvement.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
• Knowledge of performance testing tools like JMeter or LoadRunner.
• Familiarity with Agile methodology and version control (Git).

Responsibilities:

·       Analyze complex data sets to answer specific questions using MMIT’s market access data (MMIT) and Norstella claims data, third-party claims data (IQVIA LAAD, Symphony SHA). Applicant must have experience working with the aforementioned data sets exclusively.

·       Deliver consultative services to clients related to MMIT RWD sets

·       Produce complex analytical reports using data visualization tools such as Power BI or Tableau

·       Define customized technical specifications to surface MMIT RWD in MMIT tools. 

·       Execute work in a timely fashion with high accuracy, while managing various competing priorities; Perform thorough troubleshooting and execute QA; Communicate with internal teams to obtain required data

·       Ensure adherence to documentation requirements, process workflows, timelines, and escalation protocols

·       And other duties as assigned.

Requirements:

·       Bachelor’s Degree or relevant experience required

·       2-5 yrs. of professional experience in RWD analytics using SQL

·       Fundamental understanding of Pharma and Market access space

·       Strong analysis skills and proficiency with tools such as Tableau or PowerBI

·       Excellent written and verbal communication skills.

·       Analytical, critical thinking and creative problem-solving skills.

·       Relationship building skills.

·       Solid organizational skills including attention to detail and multitasking skills.

·       Excellent time management and prioritization skills.

Overall Experience: 6+ years

Relevant: 4+ years

Location: Initial 10 days Hyderabad after that Remote

*ONLY IMMEDIATE JOINERS*

Role Description

This is a full-time remote role for a Data Engineer. The Data Engineer will be responsible for daily tasks such as data engineering, data modeling, extract transform load (ETL), data warehousing, and data analytics. Collaboration and communication with cross-functional teams will be required to ensure successful project outcomes.

Qualifications

• SQL, Python/Scala, Spark, Hadoop, Hive, HDFS
• Data Engineering, Data Modeling, and Extract Transform Load (ETL) skills
• Data Warehousing and Data Analytics skills
• Experience in working with large datasets and data pipelines
• Proficiency in programming languages such as Python or SQL
• Knowledge of data integration and data processing tools
• Familiarity with cloud platforms and big data technologies
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Ability to work independently and remotely
• Bachelor's degree in Computer Science, Data Science, or a related field

What you need to have: