CICS System Programmer

Job Description:

As a Backend Developer, you will:

• Implement server-side logic to ensure high performance and responsiveness to requests from the front-end.
• Integrate machine learning models for fraud detection, enhancing the security and reliability of our applications.
• Manage database operations, ensuring the integrity, security, and efficiency of data storage and retrieval.
• Collaborate with cross-functional teams to develop and maintain scalable, robust, and secure applications.

Responsibilities:

• Development of all server-side logic, definition, and maintenance of the central database.
• Ensuring high performance and responsiveness to front-end requests.
• Integrating data storage solutions, including databases, key-value stores, blob stores, etc.
• Implementing security and data protection measures.
• Integrating machine learning models for advanced data processing and analysis.

Key Performance Indicators (KPI) For Role:

• Quality and efficiency of backend systems developed.
• Effectiveness in integrating and deploying machine learning models.
• Database performance and security measures.
• Positive feedback from team members and stakeholders.
• Adherence to coding standards and best practices in backend development.

Prior Experience Required:

• Minimum 3+ years of backend development experience.
• Proficient in Node.js or Python (especially Django and Flask frameworks), or/and Go.
• Strong database management skills with both SQL and NoSQL databases.
• Experience in integrating and deploying machine learning models for real-world applications, specifically for fraud detection is highly desirable.
• Familiarity with RESTful API development and microservices architecture.
• Good understanding of asynchronous programming and its workarounds.
• Experience with cloud services (AWS, Azure, GCP) and serverless architectures.

Location:

Hyderabad

Collaboration:

The role involves close collaboration with frontend developers, data scientists, and project managers to ensure the seamless integration of backend services with front-end applications and data analytics models.

Salary:

Competitive, based on experience and market standards.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficient understanding of code versioning tools, such as Git.
• Ability to design and implement low-latency, high-availability, and performant applications.
• Knowledge of security compliance and integrated security protocols.
• Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with containerization technologies (Docker, Kubernetes) is a plus.

Other Requirements:

• Proven ability to work in a fast-paced, agile development environment.
• Demonstrated ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful backend projects.

What you’ll do here:

• Define and evolve the architecture of the Resulticks platform, ensuring alignment with business strategy and scalability requirements.

• Lead the design of highly scalable, fault-tolerant, secure, and performant systems.

• Provide architectural oversight across application layers—UI, services, data, and integration.

• Drive modernization of the platform using cloud-native, microservices, and API-first approaches.

• Collaborate closely with product managers, developers, QA, and DevOps to ensure architectural integrity across development lifecycles. • Identify and address architectural risks, tech debt, and scalability challenges early in the design process.

• Guide the selection and integration of third-party technologies and platforms.

• Define and enforce architectural best practices, coding standards, and technology governance.

• Contribute to roadmap planning by assessing feasibility and impact of new features or redesigns.

• Participate in code reviews and architectural discussions, mentoring developers and technical leads.

• Stay current on emerging technologies, architecture patterns, and industry best practices to maintain platform competitiveness.

• Ensure security, compliance, and data privacy are embedded in architectural decisions, especially for industries like BFSI and telecom.

What you will need to thrive:

• 15+ years of experience in software/product development with at least 5 years in a senior architecture role.

• Proven experience architecting SaaS or large-scale B2B platforms, ideally in MarTech, AdTech, or CRM domains.

• Deep expertise in cloud architecture (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and server less technologies. Copyright © RESULTICKS Solution Inc 2

• Strong command of modern backend and frontend frameworks (e.g., .NET Core, Java, Python, React).

• Excellent understanding of data architecture including SQL/NoSQL, event streaming, and analytics pipelines.

• Familiarity with CI/CD, DevSecOps, and monitoring frameworks.

• Strong understanding of security protocols, compliance standards (e.g., GDPR, ISO 27001), and authentication/authorization frameworks (OAuth, SSO, etc.).

• Effective communication and leadership skills, with experience influencing C-level and cross functional stakeholders.

• Strong analytical and problem-solving abilities, with a strategic mindset. 

As an ideal candidate, you should have proven experience in a highly technical field, such as software development, computer science, or engineering. Your ability to evaluate and analyze complex information is second to none, and you have a natural desire to help people understand things that are hard to understand.

• Develop comprehensive documentation that meets organizational standards
• Obtain a deep understanding of products and services to translate complex product information into simple, polished, and engaging content
• Write user-friendly content that meets the needs of the target audience, turning insights language that sets our users up for success
• Evaluate current content and develop innovative approaches for improvement

• Research, outline, write, and edit new and existing content, working closely with various departments to understand project requirements
• Independently gather information from subject matter experts to develop, organize, and write procedure manuals, technical specifications, and process documentation
• Work with development and support leads to identify all documentation repositories, revise and edit, and determine the best solution for data compilation and centralized storage
• Research, create, and maintain information architecture templates that uphold organizational and legal standards, and allow for easy data migration
• Develop content in alternative media forms for maximum usability, with a consistent and cohesive voice across all documentation

• Bachelor’s degree in relevant technical field
• 1-3 years’ industry experience as an effective technical writer
• Proven ability to quickly learn and understand complex topics
• Previous experience writing documentation and procedural materials for multiple audiences
• Superior written and verbal communication skills, with a keen eye for detail
• Experience working with engineering to improve user experience: design, UI, and help refine content and create visuals and diagrams for technical support content

• Proven ability to handle multiple projects simultaneously, with an eye for prioritization
• Firm understanding of the systems development life cycle (SDLC)
• Previous software development experience

What you need to have:

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users