SRE Engineer – GCP | Shell | Python | Kubernetes | DevOps

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

Job Title: AI Engineer

About the Role

We’re seeking a highly motivated AI Engineer with minimum 4 years of experience to join our team with industrial knowledge of front-end frameworks (React.js, Angular, Vue.js),backend engineering, cloud deployment and strong understanding of data structures, algorithms, APIs, and distributed systems.

Key Responsibilities

• Design, train, and deploy machine learning models for NLP, computer vision, recommendation systems, and other AI-driven use cases.
• Integrate ML models into production-ready web and mobile applications, ensuring scalability and reliability.
• Build APIs and microservices for model serving, monitoring, and scaling.
• Leverage cloud platforms (AWS, Azure, GCP) for ML workflows, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Implement AI-powered features such as chatbots, personalization engines, predictive analytics, or automation systems.
• Develop and maintain ETL pipelines, data preprocessing workflows, and feature engineering processes.
• Ensure solutions meet security, compliance, and performance standards.

Skills & Qualifications

• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn); familiarity with LangChain, Hugging Face, OpenAI API is a plus.
• Experience in model deployment, serving, and optimization (FastAPI, Flask, Django, or Node.js).
• Proficiency with databases (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
• Hands-on experience with cloud ML services (SageMaker, Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).
• Knowledge of MLOps practices: model versioning, monitoring, retraining, experiment tracking.

For more details connect on seven three zero four one double eight six three six

Company Description

First Connect Worldwide LLC, a licensed Freight broker company, provides transportation and logistics services throughout the USA. With years of experience, our team delivers efficient and innovative transportation solutions to meet our customers' needs. As a top-rated logistics and transportation company, we prioritize customer satisfaction and strive for excellence in all our services.

Job Description

A Business Development Specialist is responsible for managing the sales process of logistics services, including coordinating shipments, communicating with clients and carriers, and ensuring timely delivery.

Responsibilities may include:

1. Managing customer inquiries and requests for freight quotes.

2. Coordinating with carriers to schedule pickups and deliveries.

3. Negotiating rates and contracts with carriers to optimize profitability.

4. Tracking shipments and providing updates to customers.

5. Resolving any issues or delays in the shipping process.

6. Generating sales leads and pursuing new business opportunities.

7. Providing excellent customer service and maintaining strong relationships with clients.

8. Analyzing sales data and preparing reports for management.

9. Collaborating with other departments such as operations and finance to ensure smooth operations.

10. Staying updated on industry trends and regulations to ensure compliance.

We are looking who has exposure in RPA/Blue prism 

Good Exposure in RPA/Blue Prism

Understanding the requirements and work accordingly

Experience in Blue Prism Path Solution Management

Strong Understanding of RPA technology

Excellent Communication skills

 Develops digital marketing strategies by studying economic indicators,

tracking changes in supply and demand, identifying customers and their

current and future needs, and monitoring competition.

 Plans and executes all web, SEO/SEM, database marketing, email, social

media, and display advertising campaigns.

 Designs, builds, and maintains our social media presence.

 Contributes to marketing effectiveness by identifying short-term and long-

range issues that must be addressed.

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.

Java Developer Job Description

We are looking for a Java developer responsible for building Java applications.

Responsibilities

• Design, build and maintain efficient, reusable, and reliable Java code
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and automatization.

Skill Set:

• Proficient in Java, with a good knowledge of its ecosystems
• Java, Rest API integration, JSON, XML, Oracle, Microservices, Agile Scrum.
• Experience in developing large-scale distributed systems.
• API knowledge
• Solid understanding of object-oriented programming
• Familiar with various design and architectural patterns
• Skill for writing reusable Java libraries
• Spring, Spring Boot, Spring Cloud, React native
• Experience: 04 to 10 years
• Salary: As Per Market

Hi! If you're selected, the day-to-day responsibilities shall include:

• Researching industry-related topics (combining various online sources and studies)
• Writing high-quality content with impeccable grammar and a unique writing tone, mainly related to home improvement/decor/garden and other closely neighboring markets
• Working on basic SEO and Google Docs for neat formatting, sourcing relevant images for the article, etc.

Note: Candidates who copy-paste content should not apply, plagiarism is checked and strictly prohibited.

Job Description and skill requirements

Digital Marketing Manager

(This role will come with Sales Targets and commensurate rewards)

Role

• Plan and execute digital marketing campaigns across different digital marketing platforms
• Understanding of SEO/SEM, Marketing database, email and display campaigns
• Design, build and maintain Social Media presence
• Thorough monitoring of all social media ,digital spends and optimizing the budgets
• Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
• Brainstorm new and creative growth strategies
• Collaborate with internal teams to create landing pages and optimize user experience
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
• Experience in setting up and optimizing Google AdWords campaigns

Skill Requirements:

• Self-Starter and a go getter!
• Proven experience in the Ecommerce space – Minimum of 2 years of experience in a similar role
• Understanding of digital marketing landscape, concepts and best practices.
• Knowledge of one of the web analytics tools (e.g. Google Analytics, Net Insight or Web Trends etc.)
• Analytical mindset and critical thinking.
• Excellent communication and interpersonal skills.