AWS Data Engineer

Job Description:

The Application Developer primary objective are responsible for designing, creating, and maintaining Integration Solution using OIC to streamline the business process and enhance efficiency.

 Main Role (Overall Accountability):

·        Design, Develop, and Implement Integration solutions using Oracle Integration cloud (OIC) to connect various applications, Systems, and Services

·        Customize and configure OIC adapters, connectors, and Components to meet specific integration requirements.

·        Develop RESTful and SOAP Webservices for data exchange and communication between different systems.

·        Good Knowledge in Cloud technologies (Lamda function in AWS etc for integration with AWS)

·        Collaborate with Business analysists and stakeholders to gather requirements and define integration workflows and data flows.

·        Perform troubleshooting, debugging and performance tuning of integration solutions to ensure optimal performance and reliability.

·        Develop and maintain documentation for integration processes, interfaces and configurations.

·        Perform Code reviews .

·        Ensure adherence to coding standards , development methodologies and security protocols throughout the software development lifecycle.

Personnel Specification

Education: Bachelor’s degree in computer science, Information Technology or related field

Experience:

• 5 or more years of experience in IT industry.

• Experience in Cloud based integration Platform.

Skills and Abilities:

·        Proven experience in designing, developing, and implementing integration solutions using OIC

·        Strong understanding of RESTful and SOAP web services, JSON, and other data formats.

·        Experience in cloud based integration platforms, writing Lamda function and creating integrations with various channels.

·        Strong Knowledge in OIC API Integration.

·        strong understanding on SOAP based services and Rest bases services.

·        Strong development skills in JAVA

·        Strong knowledge on Authentication methodologies to be followed during the integration platforms.

·        Strong Knowledge in OIC GEN2 and GEN3

Note: One technical round has to be taken F2F from either of the Wissen office.

AI/LLM Test Automation Engineer (SDET)

Location: Bangalore (Hybrid preferred)

Experience: 5-8 Years

Job Summary

We are seeking a Senior Test Automation Engineer (SDET) with expertise in AI/LLM testing and Azure DevOps CI/CD to build robust automation frameworks for cutting-edge AI applications. The role combines deep programming skills (Java/Python), modern DevOps practices, and specialized LLM testing to ensure high-quality AI product delivery.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java/Python for web, mobile, API, and backend testing.
• Create and manage YAML-based CI/CD pipelines in Azure DevOps for end-to-end testing workflows.
• Perform AI/LLM testing including prompt validation, content generation evaluation, model behavior analysis, and bias detection.
• Write and maintain BDD Cucumber feature files integrated with automation suites.
• Execute manual + automated testing across diverse application layers with focus on edge cases.
• Implement Git branching strategies, code reviews, and repository best practices.
• Track defects and manage test lifecycle using ServiceNow or similar tools.
• Conduct root-cause analysis, troubleshoot complex issues, and drive continuous quality improvements.

Mandatory Skills & Experience

✅ 5+ years SDET/Automation experience

✅ Java/Python scripting for test frameworks (Selenium, REST Assured, Playwright)

✅ Azure DevOps YAML pipelines (CI/CD end-to-end)

✅ AI/LLM testing (prompt engineering, model validation, RAG testing)

✅ Cucumber BDD (Gherkin feature files + step definitions)

✅ Git (branching, PRs, GitFlow)

✅ ServiceNow/Jira defect tracking

✅ Manual + Automation testing (web/mobile/API/backend)

Technical Stack

Programming: Java, Python, JavaScript

CI/CD: Azure DevOps, YAML Pipelines

Testing: Selenium, Playwright, REST Assured, Postman

BDD: Cucumber (Gherkin), JBehave

AI/ML: Prompt validation, LLM APIs (OpenAI, LangChain)

Version Control: Git, GitHub/GitLabDefect

Tracking: ServiceNow, Jira, Azure Boards

Preferred Qualifications

• Exposure to AI testing frameworks (LangSmith, Promptfoo)
• Experience with containerization (Docker) and Kubernetes
• Knowledge of performance testing for AI workloads
• AWS/GCP cloud testing experience
• ISTQB or relevant QA certifications

What We Offer

• Work on next-gen AI/LLM products with global impact
• Modern tech stack with Azure-native DevOps
• Flexible hybrid/remote work model
• Continuous learning opportunities in AI testing

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Build and maintain the trading engine core for execution, backtesting, and event logging.

·      Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

·      Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

·      Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

·      Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

·      Design compute-optimized components for multi-asset workflows and scalable backtesting.

·      Capture real-time state, performance metrics, and slippage for both live and simulated runs.

·      Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

·      Proficiency in distributed systems, concurrency, and system design.

·      Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

·      Deep understanding of data structures and algorithms with a focus on low-latency performance.

·      Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

·      Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

·      Understanding of financial markets, asset classes, and algorithmic trading strategies.

·      3–5 years of prior Backend experience.

·      Hands-on experience with backtesting frameworks or financial market simulators.

·      Experience with sandboxed execution environments or paper trading platforms.

·      Advanced knowledge of multithreading, memory optimization, or compiler construction.

·      Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

·      Opportunity to shape the backend architecture of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment for candidates across the globe.

·      Exposure to financial modeling, trading infrastructure, and real-time applications.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.

Must have Expert level (5-7 years of development and maintenance experience) in MS SQL Server

·       Excellent skills in writing Stored Procedures, functions, triggers, queries, scripts, etc.

·       Excellent in troubleshooting, performance tuning, debugging, and query optimization

·       Excellent in indexing, finding and resolving potential for database deadlocks

·       Strong in database migrations and upgrades. 

·       Has experience with analytics and reporting.

·       3+ years of experience with SSIS, SSRS.

·       Has experience with Access DB.

·       Have a MS SQL Server certification OR are willing to obtain in a short time frame.

• As a lead engineer, you will be expected to execute and deliver large and complex projects end-to-end, with or without the involvement of other team members.
• Participate in code reviews, app architecture, and design discussions.
• Ensuring timely delivery of all product deliverables.
• Be the go-to person for the team for guidance and troubleshooting. 
• Mentoring junior developers and set best practices for coding, reviews, etc.
• Ensuring performance and scalability in all new product features being developed. 

• Overall of 5+ years expertise in writing HTML/CSS/JavaScript 
• Experience in Angular and preferably React.js
• Expertise in database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in all common AWS cloud technologies, knowledge of CI/CD tools, and workflows.

Relevant Experience: 2-5 years

The position is responsible to carry out product design, tests and other related activities as allocated. Working as a member within the current hardware engineering team, who collectively execute all the necessary activities to design, improve and optimize customer projects and production - especially the reliability and robustness aspects.

Requirements:

1. Graduate in Electronic Engineering or equivalent Minimum 3-5 years working experience in a similar industry Self-driven individual with hands-on skills.
2. Experience of Embedded Electronic Digital, Analog, Power electronic design.
3. Familiarity with ECAD tools for schematic capture, simulation, component selection, PCB design.
4. Experience of design for EMI/EMC.
5. Create manufacturing deliverables for prototypes and production.
6. Application of Design for Manufacturability (DFM) and Design for Testability (DFT) techniques.
7. Experience of debugging and fault finding in new and existing designs.
8. Experience of failure analysis and design review.
9. Experience with tools like Cadence or ORCad.
10. Creation of RFQ package for EMS provider and qualification of offers.
11. Experience of project/task planning.
12. Knowledge of project management tools.
13. Well versed with usage of test equipment like Multimeter, Oscilloscope and maintenance of laboratory equipment.
14. Familiarity with EMI, EMC, Environmental, Mechanical standards and type tests.

The ideal candidate should be able to build the front-end and back-end up from conceptualization and business requirements to a fully functional, responsive & intuitive user interface.

Technology Stack -

• Backend Coding PHP

• Framework - Laravel

• MySQL

• HTML5/ CSS/ Javascript/jQuery/Ajax etc

Responsibilities:

• Developing web applications and services using Agile development methods.

• Contribute to organization for improvements in process and infrastructure.

• Code, test and operate Laravel based services.

• Effectively use tools and ingenuity to identify and fix defects before they become a problem.

• Integration of user-facing elements developed by front-end developers with server-side logic.

• Writing reusable, testable, and efficient code.

• Design and implementation of low-latency, high-availability, and performant applications.

• Implementation of security and data protection.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification