Eagle Investment Domain expert/QA Tester

Key Responsibilities:

• Lead and mentor a team of Java and Python developers, providing technical guidance and fostering a culture of continuous learning and improvement.
• Oversee the design, development, and implementation of high-performance, scalable, and secure software solutions for the financial services industry.
• Collaborate with product managers and architects to translate business requirements into technical specifications and ensure alignment with overall product strategy.
• Drive the adoption of best practices in software development, including code reviews, testing, and continuous integration/continuous deployment (CI/CD).
• Manage project timelines and resources effectively, ensuring on-time and within-budget delivery of projects.
• Identify and mitigate technical risks, proactively addressing potential issues and ensuring the stability and reliability of our platforms.
• Stay abreast of emerging technologies and trends in Java, Python, and related fields, and evaluate their potential application to our products and services.
• Contribute to the development of technical documentation and training materials.

Required Skillset:

• Demonstrated expertise in Java and Python development, with a strong understanding of object-oriented principles, design patterns, and data structures.
• Proven ability to lead and mentor a team of software engineers, fostering a collaborative and high-performing environment.
• Experience in designing and developing scalable, high-performance, and secure software solutions.
• Strong understanding of software development methodologies, including Agile and Waterfall.
• Excellent communication, interpersonal, and problem-solving skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Bachelor's or Master's degree in Computer Science or a related field.
• Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

Strong expertise in Databricks, Agentbricks, AI, Machine Learning, Generative AI, and LLM-based systems to lead end-to-end delivery of complex AI initiatives.

Strong Python programming skills with experience in FastAPI, PySpark, and SQL.

Hands-on experience with MLflow for experiment tracking, model versioning, and deployment.Strong knowledge of Generative AI and LLMs: prompt engineering, fine-tuning, and model integration.

Experience working on Databricks (Delta Lake, ML runtime) and AWS Cloud services (S3, EC2, Lambda, RDS, Bedrock)

Familiarity with GitLab CI/CD, containerization (Docker), and cloud DevOps practices

Deep understanding of machine learning workflows including data preprocessing, feature engineering, model selection, training, tuning, and deployment.

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

Key Responsibility Areas:

Operate a hands-on role involving penetration testing and vulnerability assessment activities of complex Web applications, operating systems, wired and wireless networks, and mobile applications/devices Delivering targeted and intelligence led security penetration testing through a robust testing methodology and process Craft and develop scripts, frameworks, tools, and the methods required for facilitating and executing sophisticated charges, emulating malicious actor behavior sought at avoiding detection Conduct security assessments on a wide variety of technologies and implementations Develop and maintain security testing plans Maintain and evolve a mature set of security penetration testing and internal Red Team processes covering all areas of technology Automate penetration and other security testing on networks, systems and applications Develop meaningful metrics to reflect the true posture of the environment allowing the organization to make educated decisions based on risk Produce actionable, threat-based, reports on security testing results Act as a source of direction, training, and guidance for less experienced staff Consult with application developers, systems administrators, and management to demonstrate security testing results, explain the threat presented by the results, and consult on remediation Communicate security issues to a wide variety of internal and external “customers” to include technical teams, executives, risk groups, vendors and regulators Foster and maintain relationships with key stakeholders and business partners

Required Skills:

2 to 6 years of experience in information security with web application and network penetration testing experience Fluent in common cyber security domains such as cloud security, access control, encryption, identify management, security operations, application security, penetration tests, endpoint security, vulnerability management, threat intelligence Strong understanding of OWASP top 10.

Experience or knowledge of IT security risk assessments and gap analysis In-depth knowledge of application development processes and at least one programing or scripting language (e.g., Java, Scala, C#, Ruby, Perl, Python, PowerShell) Hands on experience with testing frameworks such as the PTES and OWASP Experience of functional testing, UI/UX testing and manual testing, Load, Performance testing across multiple browsers and devices Hands-on experience in designing and writing test automation scripts using test automation frameworks and knowledge on API Testing Applicable knowledge of Windows client/server, Unix/Linux systems, Mac OS X, VMware/Xen, and cloud technologies such as AWS, Azure, or Google Cloud

Qualification: Masters/Bachelor’s Degree