Robotic Automation Senior Developer

Senior Spark QA Engineer – Functional & Performance Testing

Location: Remote

Experience: 5+ Years 

Job Description - 

We are looking for a Senior Spark QA Engineer with strong expertise in functional and performance testing of Apache Spark applications and distributed data platforms.

Key Responsibilities -

• Perform manual and automated testing of Spark jobs, Spark SQL queries, and ETL pipelines.
• Execute functional, scalability, and performance testing for Spark workloads.
• Set up and manage Spark clusters on Standalone, YARN, Kubernetes, Mesos, Databricks, EMR, and Dataproc.
• Conduct benchmarking, validation, and performance analysis of Spark applications.
• Identify bottlenecks and troubleshoot distributed system issues.
• Lead QA initiatives and mentor team members.

Required Skills - 

• 5+ years of QA/testing experience with strong hands-on expertise in Apache Spark.
• Experience in functional and performance testing of distributed systems.
• Strong understanding of Spark architecture and optimization techniques.
• Experience with Kubernetes and cloud-based Spark environments.
• Proficiency in Python or Java.
• Experience with automation frameworks and CI/CD pipelines.

• TIDB (Good to have)
• Kubernetes( Must to have)
• MySQL(Must to have)
• Maria DB(Must to have)
• Looking candidate who has more exposure into Reliability over maintenance

Job Description – AI Developer

Job Description 

We are seeking a forward-thinking AI Developer with expertise in Generative AI, Machine Learning, Data Science, and Advanced Analytics. In this role, you will design, optimize, and deploy scalable AI solutions that power automation, personalization, and decision intelligence. You will closely collaborate with data engineers, product leaders, and business stakeholders to develop production-grade AI systems aligned with the latest enterprise AI trends such as LLM, prompt engineering, multimodal AI, and trustworthy/ethical AI practices.

This is a unique opportunity to work at the forefront of AI innovation, shaping high-impact solutions that address real-world challenges across industries.

Key Responsibilities

• Design and deploy advanced Generative AI models including LLMs, diffusion models, and multimodal architectures.
• Develop and fine-tune ML/DL solutions for NLP, computer vision, time-series forecasting, and predictive analytics.
• Implement RAG pipelines, embeddings-based search, and knowledge graph integrations to enhance context-aware AI applications.
• Stay ahead of AI research, industry trends, and tools (multi-agent systems, federated learning, privacy-preserving ML).

What we are looking for

• Strong programming background in Python (primary), R & Familiar with Object Oriented Programming Language.
• Proficiency in any of the framework PyTorch, TensorFlow, SAS, ChemBerta.
• Expertise in Machine Learning & Deep Learning.
• Strong grounding in mathematics & applied statistics (linear algebra, probability, optimization).

Qualifications

• Bachelor’s, Master’s, in Computer Science, Artificial Intelligence, Data Science, or related fields. We also welcome PhD scholars.
• 0–6 years of proven experience into AI development, optimization, and production deployment.

Preferred / Nice to Have

• Someone who is passionate about GEN AI is ideal candidate & did Research contributions or open-source AI project contributions.
• Exposure to multimodal AI, agent-based systems, or reinforcement learning.
• Knowledge of AI safety, interpretability frameworks, and responsible AI practices.

Job Title: Senior DevOps Engineer

Location: Sector 39, Gurgaon (Onsite)

Employment Type: Full-Time

Working Days: 6 Days (Alternate Saturdays Working)

Experience Required: 5+ Years

Team Role: Lead & Mentor a team of 3–4 engineers

About the Role

We are seeking a highly skilled Senior DevOps Engineer to lead our infrastructure and automation initiatives while mentoring a small team. This role involves setting up and managing physical and cloud-based servers, configuring storage systems, and implementing automation to ensure high system availability and reliability. The ideal candidate will have strong Linux administration skills, hands-on experience with DevOps tools, and the leadership capabilities to guide and grow the team.

Key Responsibilities

Infrastructure & Server Management (60%)

• Set up, configure, and manage bare-metal (physical) servers as well as cloud-based environments.
• Configure network bonding, firewalls, and system security for optimal performance and reliability.
• Implement and maintain high-availability solutions for mission-critical systems.

Queue Systems (Kafka / RabbitMQ) (15%)

• Deploy and manage message queue systems to support high-throughput, real-time data exchange.
• Ensure reliable event-driven communication between distributed services.

Storage Systems (SAN/NAS) (15%)

• Configure and manage Storage Area Networks (SAN) and Network Attached Storage (NAS).
• Optimize storage performance, redundancy, and availability.

Database Administration (5%)

• Administer and optimize MariaDB, MySQL, MongoDB, Redis, and Elasticsearch.
• Handle backup, recovery, replication, and performance tuning.

General DevOps & Automation

• Deploy product updates, patches, and fixes while ensuring minimal downtime.
• Design and manage CI/CD pipelines using Jenkins or similar tools.
• Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
• Manage web and application servers (Apache httpd, Tomcat).
• Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
• Conduct root cause analysis and implement automation to reduce manual interventions.
• Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.

Required Skills & Qualifications

✅ 5+ years of proven DevOps engineering experience

✅ Strong expertise in Linux administration & shell scripting

✅ Hands-on experience with bare-metal server management & storage systems

✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible

✅ Experience with Kafka or RabbitMQ in production environments

✅ Knowledge of CI/CD, automation, monitoring, and high-availability tools (Nagios, HAProxy, Keepalived)

✅ Excellent problem-solving, troubleshooting, and leadership abilities

✅ Strong communication skills with the ability to mentor and lead teams

Good to Have

• Experience in Telecom projects involving SMS, voice, or real-time data handling.

We are looking for an AI Engineer (Computer Vision) to design and deploy intelligent video analytics solutions using CCTV feeds. The role focuses on analyzing real-time and recorded video to extract insights such as attention levels, engagement, movement patterns, posture, and overall group behavior. You will work closely with data scientists, backend teams, and product managers to build scalable, privacy-aware AI systems.

Key Responsibilities

• Develop and deploy computer vision models for CCTV-based video analytics
• Analyze gaze, posture, facial expressions, movement, and crowd behavior
• Build real-time and batch video processing pipelines
• Train, fine-tune, and optimize deep learning models for production
• Convert visual signals into actionable insights & dashboards
• Ensure privacy, security, and ethical AI compliance
• Improve model accuracy, latency, and scalability
• Collaborate with engineering teams for end-to-end deployment

Required Skills

• Strong experience in Computer Vision & Deep Learning
• Proficiency in Python
• Hands-on experience with OpenCV, TensorFlow, PyTorch
• Knowledge of CNNs, object detection, tracking, pose estimation
• Experience with video analytics & CCTV data
• Understanding of model optimization and deployment

Good to Have

• Experience with real-time video streaming (RTSP, CCTV feeds)
• Familiarity with edge AI or GPU optimization
• Exposure to education analytics or surveillance systems
• Knowledge of cloud deployment (AWS/GCP/Azure)

Your Impact:

•                 Implements Digital Consumer experiences based on a foundation of SFCC (Salesforce commerce cloud) to meet expected quality standards

•                 Ensures functional requirements and high-level solution designs are understood and are translated into detailed technical design

•                 Implement proofs of concept to prove any new technologies, application flows or integration scenarios and identify customizations needed to SFCC platform for meeting client requirements

•                 Guides the performance tuning and scalability of the ecommerce solution

•                 Diagnose and solve technical problems during implementation and support phases

Your Skills & Experience:

•                 4-8 Years with 2+ years of implementing commerce application on any eCommerce platform in last 3 years

•                 If you have not worked in eCommerce platform, we can still discuss with you if you are expert in Java/.Net and understand REST/SOAP webservices.

•                 Demonstrate proficiency in build and release management using CI/CD strategies (leveraging tools like Jenkins and DevOps practices), implement Mocha/Chai unit and functional test cases in order to reduce costs while ensuring quality

•                 Contributes to designing, implementing and documenting the build release process as well as system configuration and deployment characteristics of the applications

•                 Participates in technical walkthroughs/ code reviews of other team members’ components, test plans and results and help them with gaps

•                 Collaborate with architect to define implementation processes and quality gates and standards

•                 Identifies risks and issues, and help monitor them

•                 Guides the development of reference and resource materials

•                 Mentors developers in improving their platform knowledge and development skills

•                 Communicate technical design to the developers and help/guide them in the implementation

•                 Participates in Agile sprints

Set Yourself Apart With:

•                 eCommerce platform certification

•                 Security considerations – OWASP, CSRF, reCAPTCHA etc. – Basic knowledge or experience

•                 Git Development workflow – Proficient

•                 Visual Studio Code IDE or Eclipse IDE - Proficient

•                 Knowledge on Agile methodology and desired tools like Jira, confluence etc.

•                 Scripting/development experience with Node.js, Mocha/Chai

•                 Experience working in any Salesforce cloud environment like SFMC, SFSC etc.

•                 Excellent written, verbal communication and articulation skills & Good team player

•                 Self-starter and self-learner with keen interest to grow

•                 Process orientation and the ability to define and setup processes

•                 Ability to provide necessary coaching to bring team members up to speed on the technology

•                 Ability to prioritize and manage multiple tasks

•                 Excellent and innovative approach to problem solving and finding solutions

•                 Flexible and proactive/self-motivated working style with excellent personal ownership of problem resolution

Looking for a AWS Architect for our client branch in Noida

Experience: 8+ years of relevant experience

Location: Noida

Notice period : Immediate to 30 days joiners

Must have: AWS, Spark, Python, AWS Glue, AWS S3, AWS Redshift, Sage Maker, AppFlow, Data Lake Formation, AWS Security, Lambda, EMR, SQL

Good to have:

Cloud Formation, VPC, Java, Snowflake, Talend, RDS, Data Bricks

Responsibilities:

• Mentor Data Architect & Team and also able to Architect and implement ETL and data movement solutions like ELT/ETL/Data pipelines.
• Apply industry best practices, security, manage compliance, adopt appropriate design patterns etc
• Able to work and manage tests, monitors, manage and validate data warehouse activity including data extraction, transformation, movement, loading, cleansing, and updating processes.
• Able to code, test and dataset implementation and maintain and define data engineering standards
• Architect, Design and implement database solutions related to Big Data, Real-time/ Data Ingestion, Data Warehouse, SQL/NoSQL
• Architect, Design and implement automated workflows and routines using workflow scheduling tools
• Identify and Automate to optimize the performance.
• Conduct appropriate functional and performance testing to identify bottlenecks and data quality issues.
• Be able to implement slowly changing dimensions as well as transaction, accumulating snapshot, and periodic snapshot fact tables.
• Collaborate with business users, EDW team members, and other developers throughout the organization to help everyone understand issues that affect the data warehouse.

• Java, J2EE
• Microservices
• Spring Boot
• JPA, REST API, JSON, JWT, OAuth, Spring Security, Swagger
• Oracle / MySQL / Postgres DB
• Angular / React / React Native
• JIRA, Bitbucket

Must-Have -

• Excellent knowledge of Core Java and Spring
• Strong experience in REST API and web services
• Experience in Oracle / Mysql / Postgres DB
• Should be efficient with Java J2EE and related technologies
• Should have very good communication skills and analytical skills.
• Should have good knowledge in Software Development Life Cycle and Agile methodologies.
• Good knowledge of current / emerging technologies and trends
• Good analytical and problem-solving skills
• Excellent written and verbal communication skills. High levels of initiative and creativity
• Good communication skills with all stakeholders, good team player with ability to mentor juniors

Good to Have:

• Knowledge in Banking Domain
• Full-stack developers with knowledge and understanding of Javascript and associated technologies like React, Angular, HTML5, CSS will have an advantage.