11+ Matrix management Jobs in Bangalore (Bengaluru) | Matrix management Job openings in Bangalore (Bengaluru)

Lead Software Engineer

Bidgely is seeking an exceptional and visionary Lead Software Engineer to join its core team in Bangalore. As a Lead Software Engineer, you will be working closely with EMs and org heads in shaping the roadmap and planning and set the technical direction for the team, influence architectural decisions, and mentor other engineers while delivering highly reliable, scalable products powered by large data, advanced machine learning models, and responsive user interfaces. Renowned for your deep technical expertise, you are capable of deconstructing any system, solving complex problems creatively, and elevating those around you. Join our innovative and dynamic team that thrives on creativity, technical excellence, and a belief that nothing is impossible with collaboration and hard work.

Responsibilities

• Lead the design and delivery of complex, scalable web services, APIs, and backend data modules.
• Define and drive adoption of best practices in system architecture, component reusability, and software design patterns across teams.
• Provide technical leadership in product, architectural, and strategic engineering discussions.
• Mentor and guide engineers at all levels, fostering a culture of learning and growth.
• Collaborate with cross-functional teams (engineering, product management, data science, and UX) to translate business requirements into scalable, maintainable solutions.
• Champion and drive continuous improvement initiatives for code quality, performance, security, and reliability.
• Evaluate and implement emerging technologies, tools, and methodologies to ensure competitive advantage.
• Present technical concepts and results clearly to both technical and non-technical stakeholders; influence organizational direction and recommend key technical investments.

Requirements

• 6+ years of experience in designing and developing highly scalable backend and middle tier systems.
• BS/MS/PhD in Computer Science or a related field from a leading institution.
• Demonstrated mastery of data structures, algorithms, and system design; experience architecting large-scale distributed systems and leading significant engineering projects.
• Deep fluency in Java, Spring, Hibernate, J2EE, RESTful services; expertise in at least one additional backend language/framework.
• Strong hands-on experience with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Redis) databases, including schema design, optimization, and performance tuning for large data sets.
• Experience with Distributed Systems, Cloud Architectures, CI/CD, and DevOps principles.
• Strong leadership, mentoring, and communication skills; proven ability to drive technical vision and alignment across teams.
• Track record of delivering solutions in fast-paced and dynamic start-up environments.
• Commitment to quality, attention to detail, and a passion for coaching others.

We are looking for someone with a hacker mindset who is ready to pick up new problems and build full stack AI solutions for some of the biggest brands in the country and the world.

Job Brief:

We are looking for a Business Development Representative professional preferably with

prior experience in the B2B industry who is open to joining us within the next 15 days. We

expect him/her to be comfortable with computer applications and software. A quick learner having an energetic positive personality would be ideal for the role. Experience in any of the following roles will be helpful: School admissions team, front office executive, Receptionist, B2B inside sales, event management, corporate gifting, high end retail sales, cafe barista, HR recruiter, BPO call centre job, etc.

About the firm:

NVS is a 17-year-old people transportation firm that caters to over 30+ schools and

corporations that include thousands of employees and parents, currently resulting in over

20000+ Daily active users. We also have a software business that is 4 years old. We are an

ever-growing firm with a pan-India but Bangalore-heavy presence and are constantly

innovating. We pride ourselves on providing top-notch feature-rich products and

customer-centric reliable services. We are rapidly expanding to top schools, corporations,

and new cities, keeping kids safe, employees reaching the office on time and parents

reassured.

Job Responsibilities:

Your KRA would be - generating leads and enriching them by calling.

And your KPI would be connected call hours(100min - 200rs/day incentive)

Job Role:

The role involves managing leads on Zoho CRM and mainly includes calling them

regularly to identify requirements. It may involve the following but is not limited to:

1. Generating leads

2. Enriching them by browsing the internet/calling

3. Coordinating with the sales team and customers

4. Preparing and sending proposals.

5. Following up with customers on the proposals sent out, etc

6. Making reports for weekly meetings.

Pre-Requisites:

● Relevant experience > 6 months

● South Languages: More the better

● Prior experience in (KPO/BPO/ telemarketing/ inside sales/ recruitment)

● Prior experience with apps like google sheets, slides & CRMs

● Understanding of the B2B sales process

● Good written and oral communication skills.

Why join this role:

NVS Travel Solutions is actively growing creating many opportunities for vertical promotions. The job security is high and the company has an environment of recognizing and rewarding performance. This company is a great place to learn and grow continually.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Proven 2 to 12 years of professional experience in Node.js development
• Strong proficiency in JavaScript, including ES6+ syntax
• Expertise in designing and developing RESTful APIs and microservices architecture
• Experience with popular Node.js frameworks such as Express.js, Nest.js, or Hapi.js
• Experience in modern front-end technologies (e.g., HTML, CSS, JavaScript frameworks like React, Angular, or Vue.js)
• Solid understanding of asynchronous programming, event-driven architecture, and design patterns
• Extensive knowledge of database systems, both SQL and NoSQL (e.g., MongoDB, PostgreSQL, MySQL)
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)

Primary Responsibilities

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Must have:

• 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Strong programming skillset with high proficiency in Python, R, etc.
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills

• Need to Understand the product and features, to demonstrate them to the end users.
• Sound knowledge of Java and SQL
• Need to Analyze and Resolve the Product-specific queries, MySQL.
• Consistently Deliver the customer requirements.
• Engage with the Development team and manage the progress of cases.
• Should be able to cope with a high-pressure work environment.
• The working model will be 24X7.

Must require

• Good Communication both verbal and written
• Analytical skills
• Team player

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

It is India’s only B2B Construction Materials Supply Chain Company. Construction & Infrastructure is  one of the industries, with the most complex problems in Supply Chain and we are fundamentally reengineering the  way construction materials get procured. Our Clients include the biggest names in India & the World– The  LafargeHolcim Group, JSW Group, The Tatas and many others. We are backed by some of the world’s top marquee  funds in our journey to create transparency and standardization to an otherwise opaque industry. 

Your responsibilities: 

• Understand the business context and build high quality code using proven design patterns Develop, test and deploy integrations required to meet business requirements 
• Carry out unit tests and other quality control mechanisms to inform and validate the code and design 
• Utilizing and monitoring cloud infrastructure resources (such as AWS, Azure) efficiently 
• Participate in a highly fluid environment applying agile software development principles 
• Ensure the coding standards are on-par with the best in the industry 

Educational Qualifications: 

• Bachelor's or Master’s degree in a quantitative field (e.g. Mathematics, Engineering, Computer Science).  

Must have skills: 

• 3+ years of work experience with mobile/web development 
• Experience in working with either of languages: Go, Java, Scala 
• Strong understanding of relational and non-relational databases (MySQL, PostgreSQL, MongoDB, Cassandra) 
• Strong understanding of Message brokers 
• Must have hands on experience in Restful APIs 
• Must have a strong foundation of Data structures and Algorithms 
• Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems 
• Ability to deploy features on a daily basis: should be good at time management and prioritization 
• Hands-on experience in CI/CD principles and TDD 
• Strong written and verbal English communication skills 

Good to have skills: 

• Experience in event-driven & asynchronous I/O frameworks 
• Exposure to business process and workflow automation 
• Working experience in process driven and data intensive business applications 
• Experience in working on web infrastructure with React.js and React Native 

Professional traits: 

• Self-motivated, persistent and “Never Give Up” attitude 
• Passion for innovation and adaptability to a lean startup culture 
• Ability to work with minimal supervision, independently and / or as a member of a team 
• Giving full attention to what other people are saying, taking time to understand the points being made,  asking questions as appropriate