Rohini IT Consulting LLP

Role Overview: We are seeking a highly experienced and technically proficient Lead Performance & Reliability Engineer to join our dynamic team. The ideal candidate will possess a deep understanding of performance testing methodologies across mobile and web platforms, with hands-on expertise in industry-leading tools. You will be instrumental in ensuring the scalability, stability, and responsiveness of our critical systems, from initial design to production monitoring. A strong background in site reliability engineering principles, coupled with a proactive approach to identifying and resolving performance bottlenecks, is essential.

Key Responsibilities:

• Performance Strategy & Execution:
• Lead the design, development, and execution of comprehensive performance testing strategies for complex mobile (iOS/Android) and web applications.
• Define performance SLAs, identify key performance indicators (KPIs), and establish performance baselines.
• Conduct various types of performance tests including load, stress, scalability, endurance, and failover testing.
• Tooling & Automation Expertise:
• Utilize and optimize leading performance testing tools such as LoadRunner and JMeter to simulate realistic user loads and analyze system behavior.
• Develop robust, scalable, and maintainable performance test scripts across diverse protocols.
• Implement and integrate performance testing into CI/CD pipelines for continuous performance validation.
• Monitoring & Observability:
• Leverage monitoring and observability platforms like Datadog, Splunk, and Kibana for real-time performance monitoring, root cause analysis, and proactive issue detection in production environments.
• Configure dashboards, alerts, and reports to provide actionable insights into system health and performance trends.
• System Analysis & Optimization:
• Perform in-depth analysis of performance test results and production metrics to identify bottlenecks in application, database, and infrastructure layers.
• Collaborate closely with development, architecture, and operations teams to recommend and implement performance improvements.
• Deep dive into SQL Queries and MongoDB performance, optimizing database schemas, queries, and indexing for optimal throughput.
• Chaos Engineering & Resiliency:
• Familiarity with Gremlin or similar chaos engineering platforms to proactively identify and address system weaknesses under adverse conditions.
• Contribute to building resilient and fault-tolerant systems.
• Architectural & Methodological Leadership:
• Apply principles of SAFe (Scaled Agile Framework) or similar agile methodologies to integrate performance engineering practices seamlessly into the software development lifecycle.
• Work closely with architects and developers to ensure performance considerations are embedded from the design phase.
• Data Management & Scripting:
• Proficiency in writing and optimizing complex SQL Queries for performance analysis and data manipulation.
• Strong Scripting skills (e.g., Python, Java, JavaScript, Shell Scripting) for test automation, data generation, and custom tool development.
• Experience with MongoDB for NoSQL database performance analysis and optimization.
• Emerging Technologies & AI:
• Exposure to or keen interest in utilizing AI/ML-driven tools for performance analysis and optimization, including understanding the capabilities of Azure Copilot or similar AI assistants in a development context.
• Mentorship & Collaboration:
• Mentor junior engineers and share best practices in performance engineering.
• Foster a culture of performance awareness and reliability across engineering teams.

Required Skills & Experience:

• 9-12 years of progressive experience in Performance Testing, Performance Engineering, or Site Reliability Engineering.
• Demonstrable expertise in Mobile Performance Testing for both iOS and Android platforms.
• Hands-on mastery of LoadRunner and JMeter for performance test script development and execution.
• Extensive experience with performance monitoring tools such as Datadog, Splunk, and Kibana.
• Solid understanding of database performance concepts and hands-on experience with SQL Queries and MongoDB.
• Proven ability in at least one major scripting language (e.g., Python, JavaScript, Java, Shell).
• Experience with or strong understanding of Agile methodologies, preferably SAFe.
• Familiarity with Chaos Engineering principles and tools (e.g., Gremlin).
• Understanding of cloud platforms (Azure preferred) and exposure to AI-assisted development tools like Azure Copilot is a plus.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration abilities.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

We are seeking an iOS Developer with a strong foundation in SwiftUI and relevant experience in the IoT domain. The candidate will be responsible for developing iOS applications that seamlessly integrate with IoT devices, ensuring optimal performance and user experience.

Skills:

·      Strong hands-on experience with Swift and SwiftUI (mandatory)

·      Practical experience working with IoT devices (BLE, Wi-Fi, MQTT)

·      Solid understanding of MVVM architecture, dependency injection, and iOS performance optimization

·      Experience with RESTful APIs, Git, debugging tools, and crash analytics

·      Good communication and problem-solving skills

·      Additional skills such as Combine, HomeKit, CI/CD pipelines, and automated testing are a plus

Job Title: Senior/Lead Performance Test Engineer (JMeter Specialist)

Experience: 5-10 Years

Location: Remote / Pune, India

Job Summary:

We are looking for a highly skilled and experienced Senior/Lead Performance Test Engineer with a strong background in Apache JMeter to lead and execute performance testing initiatives for our web and mobile applications. The ideal candidate will be a hands-on expert in designing, scripting, executing, and analyzing complex performance tests, identifying bottlenecks, and collaborating with cross-functional teams to optimize system performance. This role is critical in ensuring our applications deliver exceptional user experiences under various load conditions.

Key Responsibilities:

Performance Test Strategy & Planning:

Define, develop, and implement comprehensive performance test strategies and plans aligned with project requirements and business objectives for web and mobile applications.

Collaborate with product owners, developers, architects, and operations teams to understand non-functional requirements (NFRs) and service level agreements (SLAs).

Determine appropriate performance test types (Load, Stress, Endurance, Spike, Scalability) and define relevant performance metrics and acceptance criteria.

Scripting & Test Development (JMeter Focus):

Design, develop, and maintain robust and scalable performance test scripts using Apache JMeter for various protocols (HTTP/S, REST, SOAP, JDBC, etc.).

Implement advanced JMeter features including correlation, parameterization, assertions, custom listeners, and logic controllers to simulate realistic user behavior.

Develop modular and reusable test assets.

Integrate performance test scripts into CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps) for continuous performance monitoring.

Test Execution & Monitoring:

Set up and configure performance test environments, ensuring they accurately mimic production infrastructure (including cloud environments like AWS, Azure, GCP).

Execute performance tests in various environments, managing large-scale load generation using JMeter (standalone or distributed mode).

Monitor system resources (CPU, Memory, Disk I/O, Network) and application performance metrics using various tools (e.g., Grafana, Prometheus, ELK stack, AppDynamics, Dynatrace, New Relic) during test execution.

Analysis & Reporting:

Analyze complex performance test results, identify performance bottlenecks, and pinpoint root causes across application, database, and infrastructure layers.

Interpret monitoring data, logs, and profiling reports to provide actionable insights and recommendations for performance improvements.

Prepare clear, concise, and comprehensive performance test reports, presenting findings, risks, and optimization recommendations to technical and non-technical stakeholders.

Collaboration & Mentorship:

Work closely with development and DevOps teams to troubleshoot, optimize, and resolve performance issues.

Act as a subject matter expert in performance testing, providing technical guidance and mentoring to junior team members.

Contribute to the continuous improvement of performance testing processes, tools, and best practices.

Required Skills & Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.

5-10 years of hands-on experience in performance testing, with a strong focus on web and mobile applications.

Expert-level proficiency with Apache JMeter for scripting, execution, and analysis.

Strong understanding of performance testing methodologies, concepts (e.g., throughput, response time, latency, concurrency), and lifecycle.

Experience with performance monitoring tools such as Grafana, Prometheus, CloudWatch, Azure Monitor, GCP Monitoring, AppDynamics, Dynatrace, or New Relic.

Solid understanding of web technologies (HTTP/S, REST APIs, WebSockets, HTML, CSS, JavaScript) and modern application architectures (Microservices, Serverless).

Experience with database performance analysis (SQL/NoSQL) and ability to write complex SQL queries.

Familiarity with cloud platforms (AWS, Azure, GCP) and experience in testing applications deployed in cloud environments.

Proficiency in scripting languages (e.g., Groovy, Python, Shell scripting) for custom scripting and automation.

Excellent analytical, problem-solving, and debugging skills.

Strong communication (written and verbal) and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders.

Ability to work independently, manage multiple priorities, and thrive in a remote or hybrid work setup.

Good to Have Skills:

Experience with other performance testing tools (e.g., LoadRunner, Gatling, k6, BlazeMeter).

Knowledge of CI/CD pipelines and experience integrating performance tests into automated pipelines.

Understanding of containerization technologies (Docker, Kubernetes).

Experience with mobile application performance testing tools and techniques (e.g., device-level monitoring, network emulation).

Certifications in performance testing or cloud platforms.

Job Title: BigID Deployment Lead/ SME

Duration: 6+ Months

Exp. Level: 8-12yrs

Job Summary:

We are seeking a highly skilled and experienced BigID Deployment Lead / Subject Matter Expert (SME) to lead the implementation, configuration, and optimization of BigID's data intelligence platform. The ideal candidate will have deep expertise in data discovery, classification, privacy, and governance, and will play a pivotal role in ensuring successful deployment and integration of BigID solutions across enterprise environments.

Key Responsibilities:

Lead end-to-end deployment and configuration of BigID solutions in complex enterprise environments.

Serve as the primary SME for BigID, advising stakeholders on best practices, architecture, and integration strategies.

Collaborate with cross-functional teams including security, compliance, data governance, and IT to align BigID capabilities with business requirements.

Customize and fine-tune BigID policies, connectors, and scanning configurations to meet data privacy and compliance objectives (e.g., GDPR, CCPA, HIPAA).

Conduct workshops, training sessions, and knowledge transfers for internal teams and clients.

Troubleshoot and resolve technical issues related to BigID deployment, performance, and data discovery.

Stay current with BigID product updates, industry trends, and regulatory changes to ensure continuous improvement and compliance.

Required Qualifications:

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

5+ years of experience in data governance, privacy, or security domains.

2+ years of hands-on experience with BigID platform deployment and configuration.

Strong understanding of data classification, metadata management, and data mapping.

Experience with cloud platforms (AWS, Azure, GCP) and integrating BigID with cloud-native services.

Familiarity with data privacy regulations (GDPR, CCPA, etc.) and risk management frameworks.

Excellent communication, documentation, and stakeholder management skills.

Preferred Qualifications:

BigID certification(s) or formal training.

Experience with scripting (Python, PowerShell) and API integrations.

Background in enterprise data architecture or data security.

• Experience working in Agile/Scrum environments.

Job Title: Salesforce Developer

Location: Pune, India (On-site - 5 days/week)

Experience: 4-5 years of relevant Salesforce development experience

We are seeking a highly skilled and experienced Salesforce Developer to join our dynamic team in Pune. The ideal candidate will have a strong background in developing robust and scalable Salesforce solutions, with a particular emphasis on Lightning Web Components (LWC), Apex, Visualforce, and Salesforce Integrations. This is an exciting opportunity for a motivated individual to contribute to impactful projects in a collaborative on-site environment.

Key Responsibilities:

• Design, develop, test, and deploy high-quality Salesforce solutions using Apex, Visualforce, and Lightning Web Components (LWC).
• Lead and execute complex Salesforce integration projects, leveraging various integration tools and methodologies (REST, SOAP, middleware, etc.).
• Collaborate with business analysts, solution architects, and other developers to understand requirements and translate them into effective technical solutions.
• Perform code reviews to ensure best practices, code quality, and adherence to development standards.
• Troubleshoot and debug Salesforce applications, identifying and resolving issues efficiently.
• Stay up-to-date with the latest Salesforce features, best practices, and industry trends.
• Contribute to the continuous improvement of development processes and methodologies.
• Provide technical guidance and mentorship to junior developers (if applicable).

Required Skills & Experience:

• Mandatory: 4-5 years of hands-on experience in Salesforce development.
• Mandatory: Proficient in Lightning Web Components (LWC), with a strong portfolio of implemented LWC solutions.
• Mandatory: Expert-level knowledge of Apex programming language, including asynchronous Apex, trigger frameworks, and governor limits.
• Mandatory: Solid understanding and experience with Visualforce page development.
• Mandatory: Extensive experience with Salesforce Integrations, including understanding of various integration patterns (e.g., real-time, batch, asynchronous).
• Mandatory: Proven experience with Salesforce integration tools and methodologies (e.g., REST API, SOAP API, Platform Events, Change Data Capture, Middleware platforms like MuleSoft, Informatica, etc.).
• Strong understanding of Salesforce data model, security model, and declarative capabilities.
• Experience with Salesforce DX, Git, and other version control systems.
• Ability to write comprehensive unit tests and ensure high code coverage.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
• Salesforce Developer Certifications (Platform Developer I, Platform Developer II) are highly preferred.

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Technical Skill Set:

1. ASP. NET Development – Strong expertise in C#, ASP.NET, WPF, and solid understanding of SOLID principles, API development, and databases.

2. Cloud Technologies – Hands-on experience with AWS, Azure, or Google Cloud.

3. Software Development & Architecture – Proficiency in SDLC, Agile, Scrum, and DevOps frameworks.

4. Project Planning & Management – Experience in task allocation, tracking, estimations, and deliverables management.

5. Repository & Version Control – Familiarity with Git, SVN, or similar tools, along with basic networking concepts.

6. Product Lifecycle Management – Knowledge of requirement analysis, documentation, testing, and release management.

7. Project Planning Tools – Experience with tools like Microsoft Project Plan, JIRA, Redmine, or HP ALM/Quality Centre.

Leadership & Soft Skills:

1. Team Leadership – Ability to guide, mentor, and manage a team while ensuring high-quality deliverables within tight deadlines.

2. Client Engagement & Requirement Gathering – Skilled in collaborating with stakeholders to enhance and refine project requirements.

3. Strong Communication & Problem-Solving – Effective at handling challenges, making decisions, and ensuring smooth project execution.

Job Summary: We are seeking a talented and motivated Software Developer with 1-4 years of experience to join in Pune. The ideal candidate will be proficient in WPF (Windows Presentation Foundation) and C#, with a strong understanding of modern software development principles and architectural patterns. You will be responsible for designing, developing, and maintaining robust and scalable desktop applications, contributing to the full software development lifecycle within an agile team.

Key Responsibilities:

• Design, develop, test, and deploy high-quality desktop applications using WPF, XAML, and C#.
• Implement and maintain application logic following established architectural patterns such as MVVM (Model-View-ViewModel) and MVC (Model-View-Controller).
• Utilize threading concepts effectively to ensure responsive and performant user interfaces.
• Work with various database technologies to store and retrieve application data efficiently.
• Integrate with internal and external APIs to extend application functionality.
• Apply strong Object-Oriented Programming (OOP) principles in all development activities.
• Collaborate closely with product owners, UI/UX designers, and other developers to translate requirements into technical specifications and deliver effective solutions.
• Participate actively in all phases of the Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and support.
• Adhere to Agile methodologies (Scrum/Kanban) to ensure timely delivery and continuous improvement.
• Contribute to code reviews, ensuring code quality, maintainability, and adherence to coding standards.
• Troubleshoot and debug issues, providing timely resolutions and maintaining application stability.
• Stay updated with the latest industry trends and technologies related to WPF and desktop application development.

Required Technical Skill Set:

• Must-Have Experience:
• WPF (Windows Presentation Foundation) and XAML: Demonstrated expertise in building complex and user-friendly desktop applications.
• C#: Strong proficiency in C# programming language, including .NET Framework or .NET Core.
• Threading Concepts: Solid understanding and practical experience with multi-threading and asynchronous programming to create responsive applications.
• Database: Experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL) and ORM frameworks (e.g., Entity Framework).
• API Integration: Experience consuming and integrating with RESTful APIs.
• MVVM (Model-View-ViewModel): In-depth understanding and practical application of the MVVM architectural pattern.
• MVC (Model-View-Controller): Familiarity with the MVC architectural pattern.
• Object-Oriented Programming (OOP): Excellent grasp of OOP principles (Encapsulation, Inheritance, Polymorphism, Abstraction) and design patterns.
• Good to Have Experience:
• Windows Canvas / User Document: Experience with advanced UI elements and document handling in WPF.
• Web Programming (ASP.NET): Basic understanding or experience with ASP.NET for potential full-stack awareness.
• Task Management: Experience with task management tools (e.g., JIRA, Azure DevOps).
• Fast-paced Team Environment: Proven ability to thrive and deliver in a dynamic and fast-paced team setting.
• Agile Methodology / SDLC: Practical experience working in an Agile/Scrum environment and a strong understanding of the Software Development Life Cycle.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 1 to 4 years of hands-on experience in WPF desktop application development.

Job Responsibilities:

• Assist in the design, development, and maintenance of high-quality Android applications using Java/Kotlin.
• Work with Android Studio to write clean, efficient, and well-documented code.
• Implement and adhere to MVVM (Model-View-ViewModel) architectural patterns to ensure scalable and maintainable applications.
• Utilize Data Binding to streamline UI development and improve code readability.
• Develop user interfaces with a strong understanding of various Layouts (ConstraintLayout, LinearLayout, RelativeLayout, etc.) and responsive design principles.
• Integrate applications with RESTful Webservices using libraries like Retrofit to connect with backend services and handle data efficiently.
• Gain experience in interacting with databases, including basic operations with SQLite Database (Creating, Updating/Querying) for local data storage and understanding of server-side data interaction.
• Apply Debugging Skills using tools such as Logcat, Android Debugger (Debug), and Lint for identifying and resolving issues, and optimizing application performance.
• Leverage Plugin Tools like ADB Idea, Codata, and Lombok Plugin (if applicable) to enhance development workflow and productivity.
• Work with various Android APIs to implement new features and functionality.
• Participate in Testing the Android Application, including unit testing and collaborating with QA for functional and integration testing.
• Perform Lint for Code Inspection to ensure code quality, consistency, and adherence to best practices.
• Learn and apply fundamental Design Patterns (e.g., Singleton, Observer) in Android development.
• Collaborate effectively with cross-functional teams, including product managers, UI/UX designers, and backend developers, to define, design, and ship new features.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency and improve application performance.
• Stay up-to-date with the latest Android development trends and best practices.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).
• 0-2 years of hands-on experience in Android application development.
• Solid understanding of Android SDK and Android Studio.
• Proficiency in at least one of the primary Android programming languages: Java or Kotlin.
• Familiarity with MVVM architecture.
• Basic knowledge of Data Binding.
• Understanding of various Android Layouts.
• Exposure to SQLite Database and concepts of server-side interaction.
• Familiarity with Retrofit for API consumption.
• Demonstrated Debugging Skills using relevant Android tools.
• Awareness of common Plugin Tools for Android development.
• Basic understanding of Android APIs.
• Knowledge of RESTful Webservices principles.
• Experience with testing methodologies for Android applications.
• Ability to use Lint for Code Inspection.
• Eagerness to learn and apply Design Patterns.
• Strong problem-solving abilities and attention to detail.
• Excellent communication and teamwork skills.
• A portfolio of personal or academic Android projects is a strong plus.