11+ Apache Mesos Jobs in Bangalore (Bengaluru) | Apache Mesos Job openings in Bangalore (Bengaluru)

Female candidates Only

Location - Bangalore

Experience - 10+ Years

5 Days Working(Hybrid)

• Strong experience in MEAN stack technologies
• This role will primarily be leading/mentoring Application Development, Database, and Testing teams

 Brief Job description

In order to successfully create world-class pricing products you will need to bring rock-solid back-end skills, micro-service architecture experience and a passion for leading high-performing Agile developer teams.

What you will do

….

Basic Qualifications

• 8+ years of experience as a software developer with a clear history of technical excellence, depth and leadership
• At least 5+ years of experience in managing software development with a strong track record of on-time delivery for large, cross-functional projects
• Experience with hiring, attracting, motivating, coaching, retaining and developing engineers and their leaders.
• Experience with scalable API development and REST services
• Excellent communication, adaptability and collaboration skills
• Bachelor’s degree in Engineering, Computer Science or related field

What You Can Do To Stand Out

• Experience with modern development technologies/languages and cloud-native development
• Proficiency with SQL, data processing and supporting architectural patterns
• Background in Containers (Docker, Kubernetes, Mesos, etc.)
• Automated test, build deployment tools, continuous integration

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

• Pega Certified Lead with hands-on understanding of Pega Build, Design, Architecture

• Innovative zest for creating Intellectual Properties, Accelerators and solutions which can impact business value on Applications.

• Thorough understanding of current and future technology trends and ability to leverage them with minimum interventions and creating cost-effective value propositions with winning themes to make definite GTM impact.

• Participate in short-term consulting engagements and pre-sales assessments/workshops

• Collaborates with sales, delivery, technical and vertical teams to ensure proposed deals include technical solutions, winning themes that accurately address customer needs

Who are we?

Founded with the mission to radically accelerate enterprises business transformation, JIFFY.ai’s intelligent platform empowers business users to adapt to change and innovate faster. We strive to create applications with delightful user experiences backed up by automated middle and back office capabilities. The platform employs the cognitive capabilities of no-code-based software development, Intelligent Document Processing, Natural Language Processing, RPA, Machine Learning, intuitive user interfaces and AI along with an overarching human-in-the-loop approach to power the next generation of enterprise applications. Explore further on www.jiffy.ai.

Success in the Role:

This role is an opportunity for an Engineering Leader looking for their next growth opportunity. As a leader, you will help us build and scale our team as our product grows and reaches new customers. This role requires technical and interpersonal skills to work with multiple teams, passion for solving problems, a focused approach towards growing people, expertise in product quality, automation and for delivering results.

As an Engineering Director, you will:

Lead the teams that enables our customers to build the middleware and backend of their products using our no code platform. We are a SaaS platform that allows our customers from different domains to build web scale applications online.

In this position, you are responsible for people management and product deliveries. It requires hands on Java and/or Golang development experience. Your responsibilities include

• Hire, mentor and motivate your teams.
• Plan and manage scrums and deliveries.
• Knowledge of cloud deployments, security and scalability concerns.
• Contribute to the design and develop of Java and GoLang based micro services.
• Expertise in scalable systems, including APIs, middleware and database systems.
• Create efficient development, build, packaging and deployment processes for Java and GoLang micro services.
• Review code and enforce best coding, security and test practices.

Work Experience and Skills required:

• Overall 15+ years of experience
• Experience in managing technical teams for 5 years.
• At least 10+ years of Java and/or Golang development experience in the relevant domain
• Worked on a product or SaaS platform
• Good communication and negotiation skills

What is leadership like for this role? What is the structure and culture of the team like?

This role will be reporting to the VP, Engineering. Our team’s focus is on challenging the status quo by innovating in a Jiffy. We believe in building a high performing organization and committing to make our customers successful.

We have cross functional teams organized around different platform components with clear responsibility and accountability. At the same time, engineers with horizontal technical skills like Java and GoLang development report to one leader to bring consistency and best practices across the entire platform.

What are the benefits and perks of working at JIFFY.ai?

• Hybrid Work : We have a hybrid working environment with at least 3 days in the office
• Programmes tailored for our people - People Development programmes, Appreciation programmes, Leadership & Mentorship programmes, Communication Programmes, Engagement programmes (JoyofJIFFYians)
• Workplace practices made for people well-being - Weekend Work Monitor, Low Call/No Call Wednesday, and Knowledge Sharing Sessions.
• Token of Appreciation-Early appraisal guaranteed with best Pay-Per-Performance Policy. Compensation off and overtime benefits are offered
• We appreciate the efforts in bringing in top talents -Our people receive generous monetary benefits for successful referrals as a Referral Bonus.
• Grants- Different allowances and perks are designed to support and benefit JIFFYians.
• Medical Coverage, Retirement, and Parental Leave Plans for All Family Types

• Owning Fintech Fraud Risk products across account opening and account and activity monitoring
• Defining OKRs for success such as % approvals, bp in losses, good customer friction, precision/ recall etc.
• Thinking out of the box and identifying opportunities where we can build world class Fraud Risk solutions either in-house or via partnerships
• Working with Engineering to create risk capabilities, analytics and decisioning logic to identify, analyze and prevent suspicious activities, including but not limited to: Identity Fraud, Account Takeover/ Abuse Fraud, Transactions Risk, Unauthorized Chargeback Risk etc.
• Driving Proof of Concepts and Demos to illustrate the company's capabilities
• Working with Sales, Business Operations and Engineering to meet internal and external stakeholder needs
• Researching emerging issues impacting Fintech players and ideating on solving their digital risks through innovation
• Validating supply partnerships to be used in solutioning, where needed
• Collaborating with external partners and clients and standardizing integration strategy for the company's input/ output and client feedback loops

Desired Candidate Profile

• 5-7 years of experience in Product Management, preferably in Financial Fraud Risk
• Career concentration in Fintechs, Payments or Risk Service Providers
• Experience in developing requirements for Risk score-based rules engines, Classification and Regression models etc.
• Bachelor’s degree or higher, preferably in Maths, Statistics or an area of Technology
• Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
• Strong organizational, communication, presentation and project management skills
• Experience with analytical/ statistical tools like SQL, SAS, Altair Knowledge Studio, R or Python preferable
• Experience in experimentation and A/B testing a plus
• Strong sense of product design and customer empathy    

Performance Testing

With C#/Java, and basic coding knowledge.     

At Regions, the Performance Engineer conducts a

wide range of quality control tests and analysis to ensure that software meets or exceeds specified standards and end-user requirements as well monitor the performance of the production systems.

Primary Responsibilities

• Collaborates with other engineers to develop

testing and monitoring approaches

• Focuses on assurance in the areas of error

rates, response times, and impact to infrastructure

• Designs, scripts, configures, and run

performance tests to validate production readiness of software applications and

infrastructure for stability and performance

• Supports testing needs of new projects,

infrastructure upgrades, and application enhancements by validating application

functionality against documented test cases

• Uses dashboards that enable efficient

monitoring of applications and systems running in production environments to

troubleshoot issues and report finding.

Job Description

• Participate with the senior developer in the entire application lifecycle, designing, coding, testing, debugging to deployment.
• Implementing designs and coordinating the required backend for it.

• Work on back-end development tasks and designing architecture for the

• Efficient usage of database technologies such as MySQL, MongoDB, Elasticsearch, Redis etc. as part of the dev work.
• Perform research and find opportunities to utilise web development best practices, form guidelines to improve system productivity, and work on scaling and monitoring.
• Work with cross-functional teams to maintain and make sure the product should be scalable, maintainable and secure.
• Coordinate with multiple junior team members for the development of the tasks & projects.

• Bachelor's degree in Computer Science or related field.
• Experience 2 - 6
• Built an application from scratch
• Strong fundamental knowledge of any backend language such as Java,            NodeJS, Spring Boot etc.
• Experience with Backend Web
• Strong computer science fundamentals.
• The ability to own end to end responsibility - right from requirement to release. Willingness and enthusiasm drive to learn new technologies