Data Engineer

Role & Responsibilities

The User Researcher is responsible for generating deep, psychology-backed insights into user behavior, motivations, and decision-making within fintech and digital financial products. The role focuses on applying behavioral science, cognitive psychology, and quantitative/qualitative research methods to uncover latent user needs and translate them into actionable inputs for design, product, and business strategy. The role ensures user-centric, evidence-based decision-making across the organization.

A - Minimum required Accountabilities for this role-

• Conduct in-depth moderated and unmoderated user interviews using psychological frameworks (e.g., Prospect Theory, Cognitive Dissonance, System 1 & 2) to uncover latent motivations, emotional drivers, and behavioral barriers.
• Design, deploy, and analyze quantitative research studies (surveys, questionnaires, experiments) grounded in validated psychological models such as Theory of Planned Behavior (TPB), Big Five Personality Traits, and Self-Determination Theory.
• Synthesize qualitative and quantitative data into actionable insights by identifying underlying cognitive and behavioral patterns (e.g., loss aversion, anchoring bias, trust erosion).
• Translate research findings into structured outputs such as personas, mental models, journey maps, and behavioral frameworks that predict user behavior.
• Test UI/UX prototypes through usability and concept validation studies using tools like Figma, Maze, and UserTesting, leveraging models such as Fogg’s Behavior Model.
• Own end-to-end research execution including study design, participant recruitment, psychometric segmentation, data analysis, and insight storytelling.

B - Additional Accountabilities pertaining to the role-

• Partner closely with design, product, and business teams to convert behavioral insights into bias-aware recommendations, nudges, and experience improvements.
• Monitor fintech and behavioral science trends (e.g., hyperbolic discounting, decision fatigue) through diary studies, ethnographic research, and secondary analysis.
• Support business KPIs such as conversion, engagement, retention, and trust through evidence-backed research inputs.
• Contribute to the development of internal research standards, methodologies, and best practices.

Ideal Candidate

• Strong Behavioral Research / Behavioral Insights / Consumer Behavior Research Profiles
• Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior
• Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research
• Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements
• Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation
• Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology
• Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness
• Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams
• Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role
• Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)
• Candidates from institutes with strong behavioral research exposure are preferred
• Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms
• Mandatory (Note):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights
• Preferred (Skills): Exposure to behavioral experimentation, usability testing, journey analysis, or consumer psychology frameworks used to improve digital product experience
• Preferred (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)

We are seeking an experienced Senior Systems Operations Engineer with 6+ years of experience in Application Production Support, Systems Operations, and Incident Management. The ideal candidate will be responsible for maintaining the stability, availability, and performance of production applications and infrastructure while ensuring adherence to ITIL processes and operational excellence.

The candidate should possess strong expertise in Linux/Unix administration, SQL/Oracle Database support, Production Issue Analysis, Incident & Change Management, and monitoring tools such as Splunk, Grafana, and AppDynamics. The role requires excellent troubleshooting skills, stakeholder communication, and the ability to lead critical incident resolution activities in a 16X7 production environment.

Key Responsibilities:

•           Provide advanced production support for critical business applications, ensuring high availability and performance.

•           Lead incident and change management processes, including root cause analysis and resolution of production issues.

•           Monitor application health using tools such as SPLUNK, Grafana, and AppDynamics.

•           Collaborate with development, infrastructure, and business teams to drive continuous improvement in system operations.

•           Maintain and optimize Linux/Unix environments and SQL/Oracle databases.

•           Document operational procedures, troubleshooting steps, and best practices.

Required Skills:

•           Strong experience with Linux/Unix system administration.

•           Advanced proficiency in SQL and Oracle database management.

•           Expertise in incident and change management within enterprise environments.

•           Proven ability to analyse and resolve production issues efficiently.

•           Hands-on experience with monitoring and alerting tools: SPLUNK, Grafana, AppDynamics.

•           Excellent communication and collaboration skills.

•           Experience with cloud platforms (AWS, Azure, GCP)

Desired Candidate Profile

•           6+ years of experience in Application Production Support and Systems Operations.

•           Proven experience managing mission-critical production environments.

•           Strong expertise in Linux/Unix, SQL, Oracle Database, and monitoring tools.

•           Demonstrated success in incident resolution, RCA preparation, and service improvement initiatives.

•           Ability to work effectively in a fast-paced 16x7 production support environment.

•           Exposure to AI tools and implementation as well

Job Description: AI/ML Engineer

Location: Gurgaon, Haryana, India

Position: AI/ML Engineer -Intern

Stipend: As per industry standards

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Key Responsibilities:

1. Model Development and Optimization:

• Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
• Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.

1. Advanced Data Engineering:

• Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
• Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.

1. Algorithm Research and Development:

• Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
• Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.

1. Deployment and MLOps:

• Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
• Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.

1. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

6. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

1.      7. Collaboration and Code Quality:

• Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
• Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.

     8.Monitoring and Maintenance:

• Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
• Implement feedback loops for model retraining based on real-time data and evolving application needs.

Required Skills, Qualification and Experience:

Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier       institutions.

• Technical Proficiency:
• Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
• Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
• Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
• Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
• Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and delivery.

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Responsibilities

- To analysis business requirements, prepare design and implementation recommendations and estimate development effort

- Collaborate with cross-functional teams to define, design, and ship new features

- Lead or participate in design reviews, code reviews and architecture evolution discussions

- Unit-test code for robustness, including edge cases, usability, and general reliability

- Work on bug fixing and improving application performance

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Required Skills

- Experienced with front end programming language with React JS.

- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.

- Thorough understanding of React.js and its core principles.

- Experience with popular React.JS workflows (such as Flux or Redux)

-Expereince on .Net Core

-Experience in database MS SQL

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

F5, Inc. is seeking a Software Engineer III with experience in building highly available and highly scalable services on public cloud like AWS, Azure and GCP. In this role you will help develop networking and security technologies as a service (SaaS) to solve customers’ multi-cloud problem. You will be part of Cloud Orchestration team working on F5 Distributed Cloud platform.

Primary Responsibilities 

• Design and development of highly available and highly scalable services using public cloud and F5 Distributed Cloud services.

• Understand product requirements related to multi-cloud and propose solutions.

• Follow software development lifecycle for feature development i.e., design, develop, test and support the features

• Creating prototypes to validate use cases and get feedback from product team and architects.

• Work cohesively with geographically distributed team

Knowledge, Skills and Abilities

• Experience in designing and implementing solutions for services in public cloud

• Experience in developing software in a SaaS environment

• Extensive hands-on experience in using Infrastructure as code (IsC) tools like terraform (preferred), cloud formation etc

• Extensive hands-on experience in programming languages such as Golang(preferred), python, Java, Rust

• Solid understanding of AWS VPC Networking Services like Transit Gateway, Virtual Private Gateway, Direct Connect, Gateway Load balancer, Private link etc.

• Solid understanding of Azure Networking Services like Virtual Network (Vnet), Express route, Azure load balancers etc

• Solid understanding of GCP networking services

• Good understanding and experience in L2 to L7 networking protocols including but not limited to Ethernet, TCP/IP, VLAN, BGP, HTTP

• Good understanding of container technologies such as Docker, Kubernetes etc.,

• Working knowledge of CI/CD tools like GitLab, Argo

• Ability to implement all phases of a development cycle for a software product from understanding requirements, going through design, development and deploy phases

• Self-motivated and willing to delve into new areas and take on new challenges in a proactive manner

• Excellent written and verbal communication skills.

Qualifications

• Minimum of 5 years of related experience with a Bachelor's degree in Computer Science/related field 

What you need to have:

Job Description: -

Comm-IT is seeking an enthusiastic Web Developer to help our fast-growing development team in India. You will play an important role and be a part of creating a product used by millions of people.

Responsibilities: -

• Design and build advanced web applications / products for desktop browsers, mobile web & feature phone.
• You work in agile cross-functional team to create great customer experiences and implement high quality code into production.
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• You prioritize performance in all your development - both network and rendering

Requirements: -

• Minimum of 6 months - 1 year of experience in software development.
• This project requires full stack experience creating applications and products using .Net and C# development, HTML 5, jQuery library and CSS3.
• Strong Web backend knowledge in Asp.Net Web API, Razer pages, .Net Entity Framework and MS SQL scripting.
• Experience developing REST-based APIs.
• Knowledge in TypeScript / JavaScript front-end back-end development experience
• Knowledge in CSS & layout skills – modern Bootstrap, CSS layout techniques
• Good understanding of object-oriented programming and its implementation
• Interest working in Cloud-based technologies.
• Confidence to work as part of a Scrum Team.
• Desire to learn new

Nice to have (Add-On): -

• Knowledge of multiple back-end languages (e.g., C#, Java, Python) and JavaScript frameworks (e.g., Angular, React, Node.js, Blazor Framework)
• Familiarity with databases (e.g., MySQL, MongoDB), web servers (e.g., Apache) and UI/UX design
• Experience creating automated unit tests and functional test.