11+ BCP Jobs in Chennai | BCP Job openings in Chennai

Job description

 Location: Chennai, India

 Experience: 5+ Years

 Certification: Kafka Certified (Mandatory); Additional Certifications are a Plus

Job Overview:

We are seeking an experienced DevOps Engineer specializing in GCP Cloud Infrastructure Management and Kafka Administration. The ideal candidate should have 5+ years of experience in cloud technologies, Kubernetes, and Kafka, with a mandatory Kafka certification.

Key Responsibilities:

Cloud Infrastructure Management:

· Manage and update Kubernetes (K8s) on GKE.

· Monitor and optimize K8s resources, including pods, storage, memory, and costs.

· Oversee the general monitoring and maintenance of environments using:

o OpenSearch / Kibana

o KafkaUI

o BGP

o Grafana / Prometheus

Kafka Administration:

· Manage Kafka brokers and ACLs.

· Hands-on experience in Kafka administration (preferably Confluent Kafka).

· Independently debug, optimize, and implement Kafka solutions based on developer and business needs.

Other Responsibilities:

· Perform random investigations to troubleshoot and enhance infrastructure.

· Manage PostgreSQL databases efficiently.

· Administer Jenkins pipelines, supporting CI/CD implementation and maintenance.

Required Skills & Qualifications:

· Kafka Certified Engineer (Mandatory).

· 5+ years of experience in GCP DevOps, Cloud Infrastructure, and Kafka Administration.

· Strong expertise in Kubernetes (K8s), Google Kubernetes Engine (GKE), and cloud environments.

· Hands-on experience with monitoring tools like Grafana, Prometheus, OpenSearch, and Kibana.

· Experience managing PostgreSQL databases.

· Proficiency in Jenkins pipeline administration.

· Ability to work independently and collaborate with developers and business stakeholders.

If you are passionate about DevOps, Cloud Infrastructure, and Kafka, and meet the above qualifications, we encourage you to apply!

Job Summary:

We are seeking a highly motivated and creative Social Media Manager & Video Content Creator to lead our online presence. This role is perfect for a multi-talented individual who can not only manage and grow our social media channels but also create compelling video content that drives engagement and brand loyalty. The ideal candidate will be a strategic thinker, a skilled content producer, and a proactive community manager who is comfortable taking full ownership of our social media and video initiatives.

Key Responsibilities:

Social Media Management & Strategy:

• Ownership of Social Media Accounts: Manage and take full ownership of all company social media accounts, including Facebook, Instagram, YouTube, LinkedIn, and Twitter.
• Content Planning & Development: Develop and implement a comprehensive social media content calendar. Coordinate with the design team to produce engaging image and video content that aligns with our brand strategy.
• Community Engagement: Timely responses to all online inquiries and direct messages from customers on social media platforms. Monitor conversations, address customer questions, and coordinate with internal teams for sales inquiries and support issues.
• Brand Growth: Develop and execute strategies to grow our social media followers, increase engagement rates, and expand our brand's reach.
• Performance Analysis: Track, analyze, and report on social media performance metrics to optimize content strategy and improve results.

Video Content Production & Editing:

• Content Creation: Conceptualize, shoot, and edit a wide range of video content specifically for social media. This includes short-form videos (Reels, Shorts, TikToks) and long-form content for platforms like YouTube and webinars.
• Full Production Cycle: Manage the entire video production process from idea generation and storyboarding to shooting, editing, and final delivery.
• Video Editing: Utilize professional video editing software (e.g., Adobe Premiere Pro, DaVinci Resolve) to assemble raw footage, add motion graphics, special effects, music, and sound design to create high-quality, polished videos.
• Asset Management: Maintain a well-organized library of video assets, including raw footage, final edits, and project files.

Required Skills:

• 4+ years of experience in embedded software development.
• 2 - 4 years of hands-on experience in C/C++ programming.
• Knowledge of TCP/IP internals and common network protocols such as DHCP, DNS, IPV4/IPV6, NAT
• In-depth knowledge of Layer 2 and Layer 3 protocols (Ethernet, IP, TCP/UDP, MPLS, BGP, OSPF)
• In-depth knowledge of RDK-B architecture, TR-069/TR-181, and networking stacks
• Work on TR-069, TR-181 data models, and DOCSIS / DSL / GPON technologies
• Experience and knowledge on IEEE802.11/Wi-Fi protocols such as WPA, RADIUS, WPS, 802.11n/ac/ax/be, mesh networking

What you need to shine?

• You have the prior experience in modernising legacy applications.

• You are a passionate hands-on developer with deep experience in building enterprise grade software in Microsoft ASP.NET Core, ASP.NET MVC, Web API, SOA, Micro-Services and RESTful Services with knowledge of SQL Server database.

• You have the ability to see and work on the big picture (Application Architecture) and devilish details (Complex Code).

• Strong experience in developing web applications using C#, VB.Net, .NET, LINQ, Net Framework 4.0, MVC 3/4/5, ASP.NET Web API, .Net Core etc.

• You are Cloud savvy, preferably Google Cloud.

• You have rich experience in Object-Oriented Programming (OOP) with good knowledge of practical design-patterns and its applications.

• Hands-on experience in building SOA or Micro-services preferably on .NET Core.

• Proven Architectural skills with high standards in Code quality

• Knowledge of ReactJS/Typescript would be added advantage.

• Practical experience in Agile development methodologies of using CI/CD.

• Extreme Programming (TDD) experience is sought after by us.

About CodersBrain

CodersBrain is a leading consultancy firm that offers offshore development services to clients all over the world. They provide end-to-end digital and business solutions that partner with clients to simplify, strengthen, and transform their businesses. They have extensive experience working with enterprises, software companies, SMEs, and startups.

Position Overview

Job Title: Java FS Developer with React

Experience: 3 to 9 Years

Location: Hyderabad / Bangalore / Chennai

Notice Period: Immediate to 15 Days

Required Skills and Experience

• Java Full Stack Developer with 3-9 years of experience
• Strong experience with Java 8 and strings
• Hands-on experience in React JS

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Role Overview:

The SEO Analyst is responsible for optimizing the organization’s online presence by improving search engine rankings, driving organic traffic, and enhancing user engagement. This role requires expertise in SEO strategies, analytics, and a strong understanding of mental health-related content to ensure alignment with the organization’s mission.

Key Responsibilities:

1. SEO Strategy Development and Execution:

• Develop and implement effective SEO strategies to improve website rankings and increase organic traffic.
• Conduct keyword research to identify high-value terms relevant to mental health services and integrate them into the content strategy.

1. Content Optimization:

• Collaborate with content teams to optimize on-page elements, including meta tags, headers, and keywords.
• Ensure that content adheres to SEO best practices while maintaining accuracy and sensitivity in mental health-related topics.

1. Performance Monitoring and Reporting:

• Monitor website performance using tools such as Google Analytics, Google Search Console, and other SEO software.
• Analyze data to evaluate the effectiveness of SEO efforts and provide regular reports to the marketing team.

1. Technical SEO Management:

• Conduct technical audits to identify and resolve issues affecting website performance, such as page speed, mobile usability, and broken links.
• Ensure the website is optimized for search engine crawlers and adheres to the latest algorithm updates.

1. Competitor and Market Analysis:

• Conduct competitive analysis to identify trends, opportunities, and gaps in the market.
• Research emerging SEO techniques and tools to maintain a competitive edge in the mental health sector.

1. Local SEO:

• Develop and manage local SEO strategies to enhance visibility in specific geographic areas.
• Optimize Google My Business profiles and manage location-based search strategies.

1. Collaboration and Training:

• Work closely with content creators, developers, and social media teams to align SEO initiatives with broader marketing goals.
• Provide training and guidance to team members on SEO best practices.

Qualifications and Requirements:

Education:

• Bachelor’s degree in Marketing, Computer Science, or a related field.

Experience:

• 2–5 years of experience as an SEO Analyst or in a similar role.
• Proven experience in optimizing content for the mental health or healthcare sector is mandatory.

Skills and Knowledge:

• Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, and Ahrefs.
• Strong understanding of technical SEO, keyword research, and link-building strategies.
• Familiarity with content management systems (e.g., WordPress).
• Knowledge of HTML, CSS, and basic coding practices is a plus.
• Excellent analytical and problem-solving skills.

Personal Attributes:

• Strong attention to detail with the ability to manage multiple projects simultaneously.
• Excellent communication and collaboration skills.
• Sensitivity and awareness when working with mental health-related content.

Key Competencies:

• Expertise in SEO strategies and best practices.
• Data-driven decision-making and performance analysis.
• Ability to adapt strategies to the unique needs of mental health-related audiences.
• Strong alignment with the organization’s mission to promote mental health awareness.

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.

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred