11+ Test Manager Jobs in Mumbai | Test Manager Job openings in Mumbai

Requirements:

·  UIPath certification

·  Proficient in UI Path Platform, Test Manage, Test Suite, with 6+ years of Experience on Test Automation

·  Hands-on experience in building automated scripts using Low-Code No-Code Platform (UIpath)

·  Experience on Testing SOAP or REST API

·  Experience building data driven tests and frameworks for Web, Windows, and Micro services.

·  Understanding of test methodologies (regression, functional, unit, integration, code coverage, performance, etc.)

·  Experience building data driven tests and frameworks for Web, Windows, and Micro services.

·  Designing and developing test automation frameworks and understanding of test automation design patterns and software testing principles.

·  Familiarity with Relational Databases and SQL

·  Bachelor's degree in computer science, engineering or related field

·  Minimum of 7 years of experience in software testing and test automation

·  Minimum of 5 years of experience in UIPath test automation

·  Strong knowledge of test automation frameworks and tools

·  Experience with continuous integration and continuous delivery (CI/CD) pipelines

·  Ability to analyze and debug complex issues

·  Excellent problem-solving skills

·  Strong communication skills and ability to work collaboratively in a team environment

·  Knowledge of agile methodologies

 Flexibility

Need to be flexible with respect to working times, provide two hours overlap with IST (Central Time) and UK time on an ongoing basis.

If you are passionate about test automation and have experience with UIPath, we encourage you to apply for this exciting opportunity. We offer a competitive salary, excellent benefits, and opportunities for growth and development.

Job Title : Senior Consultant (Java / NodeJS + Temporal)

Experience : 5 to 12 Years

Location : Bengaluru, Chennai, Hyderabad, Pune, Mumbai, Gurugram, Coimbatore

Work Mode : Remote (Must be open to travel for occasional team meetups)

Notice Period : Immediate Joiners or Serving Notice

Interview Process :

• R1 : Tech Interview (60 mins)
• R2 : Technical Interview
• R3 : (Optional) Interview with Client

Job Summary :

We are seeking a Senior Backend Consultant with strong hands-on expertise in Temporal (BPM/Workflow Engine) and either Node.js or Java.

The ideal candidate will have experience in designing and developing microservices and process-driven applications, as well as orchestrating complex workflows using Temporal.io.

You will work on high-scale systems, collaborating closely with cross-functional teams.

Mandatory Skills :

Temporal.io, Node.js (or Java), React.js, Keycloak IAM, PostgreSQL, Terraform, Kubernetes, Azure, Jest, OpenAPI

Key Responsibilities :

• Design and implement scalable backend services using Node.js or Java.
• Build and manage complex workflow orchestrations using Temporal.io.
• Integrate with IAM solutions like Keycloak for role-based access control.
• Work with React (v17+), TypeScript, and component-driven frontend design.
• Use PostgreSQL for structured data persistence and optimized queries.
• Manage infrastructure using Terraform and orchestrate via Kubernetes.
• Leverage Azure Services like Blob Storage, API Gateway, and AKS.
• Write and maintain API documentation using Swagger/Postman/Insomnia.
• Conduct unit and integration testing using Jest.
• Participate in code reviews and contribute to architectural decisions.

Must-Have Skills :

• Temporal.io – BPMN modeling, external task workers, Operate, Tasklist
• Node.js + TypeScript (preferred) or strong Java experience
• React.js (v17+) and component-driven UI development
• Keycloak IAM, PostgreSQL, and modern API design
• Infrastructure automation with Terraform, Kubernetes
• Experience in using GitFlow, OpenAPI, Jest for testing

Nice-to-Have Skills :

• Blockchain integration experience for secure KYC/identity flows
• Custom Camunda Connectors or exporter plugin development
• CI/CD experience using Azure DevOps or GitHub Actions
• Identity-based task completion authorization enforcement

Job Summary

We are looking for a results-driven Performance Marketing Manager to lead customer acquisition and revenue growth through paid digital channels. The ideal candidate will have strong expertise in Meta Ads and Google Ads, with a proven track record of scaling campaigns while maintaining profitability. The role requires hands-on experience in analytics, attribution, tracking implementation, campaign optimization, and data-driven decision-making.

Key Responsibilities

Own customer acquisition and revenue growth through paid digital marketing channels.

Plan, launch, manage, and optimize campaigns across Meta (Facebook & Instagram) and Google Ads.

Manage and scale monthly advertising budgets of ₹50 Lakhs or more while maintaining efficiency and profitability.

Monitor and optimize key performance metrics such as ROAS, MER, CAC, CPA, CTR, Conversion Rate, and Revenue.

Develop and execute structured A/B testing strategies for audiences, creatives, offers, landing pages, and campaign structures.

Analyze customer journeys, conversion funnels, attribution models, and website performance to identify growth opportunities.

Collaborate with the creative team by preparing performance-focused creative briefs and recommending high-converting messaging and ad concepts.

Establish and maintain tracking standards, UTM taxonomy, and attribution consistency across Meta, Google Analytics, Shopify, and other marketing platforms.

Build and manage a creative testing framework with continuous optimization and iteration.

Allocate and optimize paid media budgets across channels based on data and business objectives.

Implement, monitor, and troubleshoot Meta Pixel, Conversion API (CAPI), Google Analytics 4 (GA4), Google Tag Manager (GTM), and conversion tracking.

Identify and resolve tracking gaps, attribution issues, and reporting discrepancies.

Prepare detailed campaign performance reports with actionable insights and recommendations.

Stay updated with industry trends, platform updates, and digital marketing best practices.

Required Skills & Qualifications

4–6 years of hands-on experience in Performance Marketing, Paid Media Buying, or Growth Marketing.

Strong expertise in Meta Ads and Google Ads campaign management.

Experience managing monthly advertising budgets of ₹50 Lakhs or more.

Strong understanding of Shopify Analytics and the ability to reconcile data with Meta Ads and Google Ads.

Hands-on experience with:

Google Analytics 4 (GA4)

Google Tag Manager (GTM)

Meta Pixel

Conversion API (CAPI)

Conversion Tracking

Strong knowledge of attribution models, customer journey analysis, marketing funnels, and performance reporting.

Experience briefing creative teams and developing high-converting ad creatives.

Excellent analytical and problem-solving skills with a data-driven approach.

Strong communication, ownership, and stakeholder management skills.

Ability to work in a fast-paced, performance-oriented environment.

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Lead Data Scientist

Location: Mumbai

Application Link: https://flpl.keka.com/careers/jobdetails/40052

What you’ll do

• Manage end-to-end data science projects from scoping to deployment, ensuring accuracy, reliability and measurable business impact
• Translate business needs into actionable DS tasks, lead data wrangling, feature engineering, and model optimization
• Communicate insights to non-technical stakeholders to guide decisions while mentoring a 14 member DS team.
• Implement scalable MLOps, automated pipelines, and reusable frameworks to accelerate delivery and experimentation

What we’re looking for

• 4-5 years of hands-on experience in Data Science/ML with strong foundations in statistics, Linear Algebra, and optimization
• Proficient in Python (NumbPy, pandas, scikit-learn, XGBoost) and experienced with at least one cloud platform (AWS, GCP or Azure)
• Skilled in building data pipelines (Airflow, Spark) and deploying models using Docker, FastAPI, etc
• Adept at communicating insights effectively to both technical and non-technical audiences
• Bachelor’s from any field

You might have an edge over others if

• Experience with LLMs or GenAI apps
• Contributions to open-source or published research
• Exposure to real-time analytics and industrial datasets

You should not apply with us if

• You don’t want to work in agile environments
• The unpredictability and super iterative nature of startups scare you
• You hate working with people who are smarter than you
• You don’t thrive in self-driven, “owner mindset” environments- nothing wrong- just not our type!

About us

We’re Faclon Labs – a high-growth, deep-tech startup on a mission to make infrastructure and utilities smarter using IoT and SaaS. Sounds heavy? That’s because we do heavy lifting — in tech, in thinking, and in creating real-world impact.

We’re not your average startup. We don’t do corporate fluff. We do ownership, fast iterations, and big ideas. If you're looking for ping-pong tables, we're still saving up. But if you want to shape the soul of the company while it's being built- this is the place!

Job Description: 

Please find below details:

Experience - 5+ Years

Location- Bangalore/Python

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

• Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.
• Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
• Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.
• Ensure data quality and consistency by implementing validation and governance practices.
• Work on data security best practices in compliance with organizational policies and regulations.
• Automate repetitive data engineering tasks using Python scripts and frameworks.
• Leverage CI/CD pipelines for deployment of data workflows on AWS.

Required Skills and Qualifications

• Professional Experience: 5+ years of experience in data engineering or a related field.
• Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.
• AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:
• AWS Glue for ETL/ELT.
• S3 for storage.
• Redshift or Athena for data warehousing and querying.
• Lambda for serverless compute.
• Kinesis or SNS/SQS for data streaming.
• IAM Roles for security.
• Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.
• Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.
• DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.
• Version Control: Proficient with Git-based workflows.
• Problem Solving: Excellent analytical and debugging skills.

Optional Skills

• Knowledge of data modeling and data warehouse design principles.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Exposure to other programming languages like Scala or Java.

• ResponsibilitiesMaintain financial responsibility for all expenses, wages, and asset management
• Identify operational deficiencies and implement plans for improvement
• Create and maintain a weekly report on operations and sales at the branch
• Hire and train all employees of the branch

Qualifications

• Bachelor's degree or equivalent in Business
• 2+ years' of management or supervisory experience
• Experience hiring and training individuals

Strategic Vendor Alliance – AWS Practice Lead and Overall P&L owner for India Business and Drive Profitability.

A) Managing the AWS Practice for Clients and executing the strategic business plan for the company and channel partners ecosystem with regards to different Services of AWS.

B) Built key relationships with various segment leaders in AWS from the Commercial and Public Sector and create Client led AWS Solutions for Partners to make simplifying cloud approach for customers.

C) Building a predictable pipeline of joint opportunities via differentiated proposition to the customers and Partners by working with AWS on a unique offerings specifically to Client.

D) Drive SMB focus approach for AWS which contributes 50%of Clients overall Business using ready to use cloud bundles for various workloads

E) Own the relationship map, drive and monitor cadence meetings, both with Internal Sellers and Channel Partners measured by different parameters on Incremental growth ,customer acquisition, partners onboarding, Manage Services led approach ,migration and deployment ,success of each GTM

F) Lead a Team of Product Mangers (who will drive specific GTM like SAP on AWS , SMB Scale Drive, Education focus,Cloud Front Drive- CDN bundle , Strategic Workloads like Microsoft Workload,DC Migration ,DR on Cloud)

G) Managing Partner Profitability metrics by creating various different avenues from recurring resale consumption and services led engagement for partners.

H) Worked on Long Term direction of the company business plan to drive Incremental Growth.

I)Collaborate with internal peers within the company to build cloud business model,how to attach manage services to various services of the Hyperscaler in building the framework.