Foundation Engineer Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

Software Test Engineer (Auto & Manual Testing) Designation: Software Test Engineer Location: Pune | Experience: 6 10 years Qualifications: Any Graduate Degree Technical Expertise Automation Testing Scripting: Hands-on experience writing scripts using Core Java or C#. Tooling: Proficient with RFT, Ranorex, Selenium WebDriver, Appium, or Coded UI. Architecture: Ability to design and implement automated test frameworks from scratch. Manual Testing & QA Processes Full mastery of the Software Testing Life Cycle (STLC) and standard QA processes. Expertise in Test Planning, strategy development, and execution. Cross-Platform Testing: Writing and executing test cases for Desktop, Web, and Mobile applications. Communication: Excellent command of English (written and verbal) for documentation and reporting. Behavioral Competencies Collaboration: Strong team player with a focus on cross-functional partnership. Adaptability: Agile mindset, comfortable with shifting priorities and new technologies. Accountability: Self-motivated and proactive; takes full ownership of tasks. Qualification : Any Graduate Degree

Job Title: Security Engineer Location: Pune We are looking for a skilled Security Engineer to join our Cloud Infrastructure & Security team. In this role, you will be responsible for managing and securing all aspects of e-commerce product security and compliance within the AWS cloud environment. The ideal candidate will have a strong background in application and infrastructure security, vulnerability assessment, penetration testing, and a proven track record of participating in security audits. Key Responsibilities: Lead and participate in security audits across multiple environments, including web security, application security, mobile app security, network security, and IT infrastructure security. Conduct thorough Vulnerability Assessments and Penetration Testing (VAPT) to identify and mitigate potential risks in applications, AWS resources, configurations, and IT infrastructure. Collaborate with cross-functional teams to ensure the security of the e-commerce products, proactively identifying gaps in security and implementing the necessary controls. Prepare detailed VAPT reports using predefined templates and assist in finalizing audit reports for management. Coordinate with relevant teams to ensure timely resolution of identified security issues. Create and maintain security checklists, test cases, and test scenarios to facilitate security audits and penetration tests. Implement industry-standard security controls for AWS resources, including vulnerability management and configuration hardening. Perform penetration tests on computer systems, networks, and applications, identifying weaknesses and recommending solutions. Conduct physical security assessments of systems, servers, and network devices, focusing on firewall maintenance, network security, and other critical infrastructure components. Provide regular updates to management regarding security findings, vulnerabilities, and remediation plans. Review and offer actionable feedback on information security issues, collaborating with engineering teams to ensure timely fixes. Drive improvements in security services, including hardware, software, policies, and procedures. Identify areas for enhancing security education and awareness among internal users. Stay current with the latest malware and security threats, ensuring that the security strategy is responsive to new challenges. Manage and monitor security operations with AWS, XDR/EDR, Microsoft O365 security, and SaaS-based applications. Desired Skills & Experience: 5+ years of experience in AWS application and infrastructure security, Vulnerability Assessment, and Penetration Testing. At least 2 security audits completed, with at least one audit performed in the past 12 months. Solid experience working in heterogeneous environments and specifically with AWS Cloud. Product-based company experience is a plus. Hands-on expertise with VAPT using industry-standard tools such as Qualys, Nessus, WebInspect, Acunetix, Metasploit, Burp Suite Pro, Netsparker, etc. Strong experience with Linux administration and security (hardening servers according to industry best practices). Familiarity with OWASP security requirements and experience implementing them across applications and infrastructure. Proficiency in penetration testing on web and mobile applications, cloud environments, and network infrastructures. AWS Security experience is mandatory. Experience with XDR/EDR, Microsoft O365 security, and SaaS security is highly desirable. Strong analytical skills and the ability to identify vulnerabilities and risks across platforms. Certifications: CCNA, CompTIA+, or similar; AWS Security Specialty or similar certifications are preferred. Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical teams. Strong organizational skills and the ability to prioritize tasks effectively. Ability to work with a product-ownership mindset while maintaining security across all systems and applications. What We Offer: Competitive salary and benefits. A dynamic and collaborative work environment where innovation and security are top priorities. Opportunities for continuous learning and career growth in the field of cloud and cybersecurity. If you have a passion for security, experience with AWS, and want to be part of a growing team protecting critical infrastructure, apply today!

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

Automation Engineer II Location: Pune About Rapid7 At Rapid7, we are creating a more secure digital future for all by helping organizations strengthen their security programs in the face of accelerating digital transformation. Our portfolio of industry-leading solutions empowers security professionals to manage risk and eliminate threats across the entire threat landscape from applications and cloud environments to traditional infrastructure and the dark web. Trusted by over 10,000 customers worldwide, we are committed to fostering open-source communities and driving innovation through cutting-edge research. At Rapid7, we believe in optimizing our products by leveraging the latest insights into attacker methods, arming the global security community with the tools to stay ahead of threats. Position Summary We are looking for a talented Automation Engineer to join our Enterprise Applications team. This role focuses on developing and maintaining integrations and automation solutions using Workato. As an Automation Engineer, you will work closely with Business Systems Analysts to understand requirements, collaborate with cross-functional teams, and partner with Quality Assurance Engineers to ensure that integrations and automation workflows meet business needs. You will also handle unit testing, ensure thorough documentation, and use tools like Jira and Confluence for task management and collaboration. Key Responsibilities Integration Development: Design, develop, and maintain integrations between key enterprise systems (Salesforce, NetSuite, Data Warehouses, Workato, etc.) to ensure seamless data flow and process automation across platforms. Automation Solutions: Build and implement automated workflows using Workato to streamline internal business processes, reduce manual tasks, and enhance system efficiencies across various departments. Cross-functional Collaboration: Collaborate with engineers, business teams, and QA Engineers to ensure that integration solutions align with both technical requirements and business objectives. Requirement Gathering: Partner with Business Systems Analysts to gather requirements, understand business needs, and identify opportunities for process automation and integration improvements. Unit Testing & Debugging: Perform unit testing for integrations and automation workflows, debug issues as needed, and ensure the code meets quality standards before deployment. Task Management (Jira): Use Jira to manage tasks, track user stories, and address bugs related to integrations and automation workflows. Participate in sprint planning, stand-ups, reviews, and retrospectives to ensure smooth project execution and delivery. Documentation: Create and maintain detailed documentation for all integrations, workflows, and automation processes, ensuring that all technical configurations, code, and test results are clearly documented for future reference. Support & Troubleshooting: Provide ongoing support for deployed integrations, troubleshoot issues as they arise, and implement timely fixes to maintain operational continuity. Process Improvement: Contribute to continuous improvement initiatives by identifying opportunities to enhance automation workflows, increase efficiency, and reduce errors in integration processes. Key Requirements Experience 2+ years of experience in integration and automation development with a strong focus on Workato. Proven experience building and maintaining integrations between enterprise systems like Salesforce, NetSuite, or similar platforms. Demonstrated experience working with cross-functional teams, including collaboration with Business Systems Analysts and QA Engineers. Technical Skills Expertise in using Workato for integration and automation solutions. Solid understanding of API integrations, RESTful services, and data formats such as JSON and XML. Proficiency in unit testing, debugging, and troubleshooting integration workflows. Experience using version control systems such as Git. Familiarity with other integration tools and platforms is a plus. Jira Experience Comfortable using Jira for task tracking, managing sprints, and collaborating with cross-functional teams. Communication & Problem-Solving Strong ability to communicate technical concepts to non-technical stakeholders clearly and effectively. Strong analytical and troubleshooting skills to resolve integration and automation challenges efficiently. Ability to create clear, concise, and well-organized technical documentation. Education & Nice to Have A degree in Computer Science, Information Technology, or a related field is preferred. Familiarity with Agile development methodologies and tools like Jira. Experience with cloud platforms such as AWS or GCP and their integration capabilities. Security and Compliance At Rapid7, we prioritize the security of our customers and employees. All team members are expected to uphold the highest standards of security and privacy, ensuring the protection of sensitive information and compliance with relevant regulations. Qualification : A degree in Computer Science, Information Technology or a related field is preferred

Lead Salesforce Engineer Location: Pune About Rapid7 Rapid7 is a publicly traded cybersecurity company headquartered in Boston, MA, with 17 offices around the world. As we expand our global footprint into India, we are excited to grow our internal Application Engineering team. As a Salesforce Engineer, you will work alongside a global team to deliver best-in-class Salesforce solutions that meet business needs and optimize user experiences. You will have hands-on experience with Sales Cloud, Service Cloud, Experience Cloud, and CPQ, and you ll be proficient in both declarative configurations and advanced Apex coding. This is a unique opportunity to be one of the first hires for Rapid7 in India as we support our growth strategy in a culture that encourages innovation and continuous learning. About the Role As a Salesforce Engineer, you will design, develop, and support Salesforce solutions on Sales and Service Clouds. Working closely with other Salesforce team members, application owners, IT departments, and business stakeholders, you will deliver solutions that meet both technical and business requirements. Key Responsibilities Salesforce Administration: Manage and configure Salesforce environments, including Sales Cloud, Service Cloud, and Experience Cloud. Oversee system health, user permissions, profiles, workflows, and security settings. Implement and maintain changes using declarative tools such as Process Builder, Flow, and Validation Rules. Apex Development: Write and maintain Apex classes, triggers, Visualforce pages, and Lightning Web Components (LWC). Collaborate with senior developers and architects to design scalable solutions. Troubleshoot, optimize, and debug Apex code to ensure performance and stability. Unit Testing: Develop and maintain unit tests for custom Apex code, ensuring test coverage aligns with Salesforce best practices. Conduct comprehensive testing of code changes and strive for zero defects while optimizing test performance. CPQ (Configure, Price, Quote): Configure and manage Salesforce CPQ features, including price books, quote templates, products, and pricing rules. Troubleshoot CPQ-related issues and provide support for streamlining the quoting process. Collaboration and Support: Work with business analysts and other team members to gather requirements and deliver solutions. Maintain comprehensive documentation for configurations, workflows, code, and other technical solutions. Release Management: Utilize Gearset for deployment and release management, ensuring smooth Salesforce code and configuration deployments across multiple environments. Plan, execute, and document deployment processes, ensuring error-free releases through automated validation and rollback strategies. Jira Integration and Task Management: Use Jira for task management, project tracking, and collaborating on development sprints. SOX Controls & Change Management: Adhere to SOX controls to ensure compliance with IT regulations and auditing standards. Follow change management policies and procedures for implementing configurations, scripts, and integrations, ensuring all changes are properly tested, documented, and approved. Skills and Qualifications Experience & Certifications 8+ years of hands-on experience with Salesforce Sales Cloud, Service Cloud, Experience Cloud, and CPQ. Salesforce Certifications (ADM 201, ADM 211, Platform Developer I and II) are highly desirable. Strong experience with Salesforce integrations, APIs, and external systems. Experience using Jira for task and project management in an Agile environment. Hands-on experience with Gearset for deployment and release management in Salesforce. Technical Skills Expertise in Apex, Visualforce, Lightning Web Components (LWC), SOQL, and SOSL. Strong knowledge of Salesforce CPQ features and pricing rule configuration. Ability to write efficient, scalable unit tests for custom Apex code. Familiarity with Git and version control practices. Soft Skills & Attributes Strong analytical and problem-solving skills. Excellent communication skills, with the ability to work remotely with a global team. Detail-oriented with the ability to manage multiple tasks concurrently. Preferred Qualifications Experience working with global teams, especially in an Agile framework. Knowledge of Salesforce integrations (e.g., REST, SOAP APIs) and third-party tool integrations. Experience with Salesforce Data Loader, Change Sets, and Salesforce DX. Security and Compliance At Rapid7, we prioritize security and privacy. All employees are expected to adhere to the highest standards of security, ensuring the protection of sensitive information and compliance with applicable regulations.

Manager, Software Engineer - Python Location: Pune About Rapid7 & The Team Rapid7 is a leading cybersecurity company committed to creating a secure digital world for over 10,000 global customers. The **Vulnerability Coverage Team** is integral to this mission, delivering **timely and accurate vulnerability content** for products like **InsightVM** and **InsightCloudSec**. The team specializes in technologies including **Python**, Java, Ruby, AWS, and Kubernetes, ensuring customers receive monthly updates and immediate coverage against emerging threats. About the Role As the **Manager, Software Engineering**, you will be responsible for leading the Vulnerability Coverage Team. Your primary focus will be on **driving operational excellence**, ensuring the reliable delivery of high-quality vulnerability content, and managing the team's contribution to products that keep customers protected. You will serve as a key link between engineering and product strategy. Key Responsibilities Team Management & Mentorship: **Lead, coach, and mentor** Software Engineers, providing guidance, setting clear expectations, and fostering a culture of continuous learning and growth. Identify and support **career development opportunities** for team members. Project Management: **Manage and prioritize high-impact projects**, ensuring the timely delivery of vulnerability content and related initiatives. [Image of Agile Software Development Workflow] Coordinate cross-functional projects, including **risk assessment** and communicating progress to leadership. Collaboration: Work closely with **Product Management, UX, and Engineering teams** to align roadmaps, prioritize new coverage, and strategically address customer pain points. Ensure cohesive execution of initiatives across different organizational units. Quality & Process Improvement: Maintain a sharp focus on **quality and operational excellence**. Continuously drive improvements to **testing, monitoring, and alerting** processes to ensure content accuracy and reliability. Emerging Threat Coverage: Lead the team's effort to respond **quickly to emerging vulnerabilities** and provide immediate coverage. Oversee the development of **automation pipelines** to streamline content delivery and vulnerability response processes. Skills & Experience Leadership & Management **2-3 years of experience managing software engineering teams**, with a strong track record in developing and mentoring engineers. Proven experience in **scoping work, prioritizing tasks, and managing multiple high-impact projects**. Technical Expertise Strong foundation in **software engineering** with the ability to read design documents and review code. **Python proficiency** is highly desirable, with knowledge of related technologies (e.g., **AWS, Kubernetes**) being a plus. Domain & Soft Skills A strong focus on **understanding customer needs** and translating feedback into actionable engineering requirements. Excellent **cross-functional communication skills** for working with Product Management, UX, and other Engineering teams. Preferred Qualifications Familiarity with the **security landscape**, including vulnerability management and response to emerging threats. Experience with security tools like **InsightVM or InsightCloudSec**. BEng, BSc, or related degree in a technical field. Drive innovation on cutting-edge security solutions that **impact customers globally**. Play a pivotal role in solving some of the world s toughest **cybersecurity challenges**. Thrive in a culture of collaboration, continuous learning, and improvement.

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Software Developer (.NET) Designation: Software Engineer Location: Pune Experience: 5 10 years Qualifications B.E. in IT/Computer Science/Electronics/Telecom/MCA/MCS/MSc (Computer Science) Key Skills & Technologies Must-Have: Strong foundation in Object-Oriented Programming (OOP) Expertise in .NET framework with C# Hands-on experience with front-end frameworks like Vue.js, React.js, or Angular.js (SPA development) Proficiency in JavaScript, HTML/HTML5, and CSS Comfortable working on both desktop and web application development Strong analytical and requirement gathering skills Familiar with UML and OOAD for designing software at both high and low levels Experience with version control tools such as SVN, ClearCase, Git, etc. Nice-to-Have: Experience with desktop applications (WinForms/WPF) Knowledge of Typescript for front-end development Familiarity with ASP.NET web services and REST APIs Experience with microservices architecture Working knowledge of communication protocols (serial, Ethernet, OPC, Modbus) Understanding of SOLID principles and software design patterns Familiar with version control branching, tagging, and labelling Experience with unit testing frameworks (e.g., NUnit, XUnit) Behavioral Competencies Strong team player with excellent collaboration skills across cross-functional teams Eager to learn new technologies and adapt quickly Agile and self-motivated with a proactive approach Ability to take ownership and manage tasks independently Open to switching contexts and technologies as per project needs Role & Responsibilities Take ownership of requirements and defect fixes with minimal supervision Collaborate with the team to analyze requirements and propose optimal solutions Design software in consultation with the team lead, ensuring alignment with project objectives Follow established software development processes and best practices Proactively manage tasks, providing regular updates and identifying risks early Be adaptable and flexible in switching between different tasks and technologies Mentor and provide technical guidance to junior team members Qualification : B.E. in IT/Computer Science/Electronics/Telecom/MCA/MCS/MSc (Computer Science)

Job Title: Computer Vision Engineer Location: Pune Experience: 3+ years Job Overview We re looking for a passionate Computer Vision Engineer to join a fast-paced startup environment. In this role, you will research, develop, and maintain scalable computer vision and machine learning solutions that analyze video feeds from online sessions, detecting anomalies and enhancing user experience. Required Skills & Qualifications BS/MS in Computer Science or equivalent, with 3+ years of industry and/or research experience in AI, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficient in C/C++ and Python, with solid experience working in a Linux environment. Hands-on experience with libraries and frameworks such as OpenCV, NumPy, SciPy, Scikit-learn, etc. Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Familiarity with Git version control. Highly Desirable Expertise in image classification, segmentation, and autonomous feature learning. Strong foundation in linear algebra, optimization techniques, probability, and statistics. Experience in software architecture, API design, and seamless system integration. Background in parallel programming techniques. Practical experience with vision applications in real-world projects. Join us to innovate in the field of computer vision and help shape the future of intelligent video analysis. Apply today to be part of our dynamic team!

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Sr. Technical Program Manager Location: Pune Department: Research and Development Software Development Employment Type: Full-Time About Entrata Since 2003, Entrata has grown from a visionary college startup transforming online rent payments into a global leader serving property owners, managers, and residents. Our award-winning software suite covers rent payments, insurance, leasing, maintenance, marketing, and communications reshaping property management worldwide. With over 2,200 employees across Utah, Texas, India, Israel, and the Netherlands, Entrata combines startup agility with enterprise stability. We prioritize transparent communication, embrace boldness and resilience, and foster diversity of thought to continually improve living experiences. Role Overview We are seeking an experienced Senior Technical Program Manager (TPM) to join our Engineering team and lead strategic, high-impact programs that accelerate software delivery and drive AI-powered transformation. This role blends program and release management expertise with a strong focus on scaling AI-assisted development tools to enhance engineering productivity. The ideal candidate will have a solid technical foundation, proven Agile transformation experience, and hands-on knowledge of AI tools like GitHub Copilot. You will collaborate closely with cross-functional teams to ensure smooth execution of engineering initiatives and foster adoption of cutting-edge AI-driven practices throughout the software development lifecycle (SDLC). Key Responsibilities Lead strategic engineering programs emphasizing the integration of AI tools to boost developer productivity and speed up product delivery. Champion the adoption of AI-assisted coding tools (e.g., GitHub Copilot, Tabnine, CodeWhisperer, Cursor) across engineering teams. Identify and implement AI-driven opportunities to streamline SDLC processes, including code generation, testing, documentation, and release planning. Manage end-to-end program execution using Agile methodologies, ensuring on-time delivery of milestones. Oversee software release management, ensuring quality, reliability, and predictability. Optimize engineering workflows via tools like JIRA, Confluence, and Guru, extracting actionable insights to improve efficiency. Facilitate clear communication across product management, SDET, design, and business stakeholders. Proactively identify risks, dependencies, and blockers; align priorities and resolve issues promptly. Provide transparent and concise program updates and reports to leadership and stakeholders. Minimum Qualifications Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience as a Technical Program Manager or in a similar role within software product development. Hands-on experience with Agile frameworks, JIRA, and managing the full SDLC. Demonstrated experience using and implementing AI-powered development tools like GitHub Copilot or Cursor in engineering workflows. Excellent communication skills with proven ability to lead cross-functional teams and drive organizational change. Preferred Qualifications Advanced degree in Engineering, Technology Management, or Business. Experience leading AI-driven initiatives within engineering or product development. Familiarity with AI/ML concepts and their applications in software development. Agile certifications such as CSM, SAFe, or PMP. Understanding of DevOps, CI/CD pipelines, and modern automation practices. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

Job Title: Staff Software Development Engineer in Test (SDET) Company: Druva Location: Pune, India About Druva: Druva is the autonomous data security company that puts data protection on autopilot. Our 100% SaaS, fully managed platform safeguards and recovers data from all threats, ensuring availability, confidentiality, and integrity. Trusted by over 6,000 customers, including 65 of the Fortune 500, Druva delivers autonomous protection, rapid incident response, and guaranteed data recovery backed by our $10 million Data Resiliency Guarantee. As the security landscape evolves, Druva remains at the forefront, defending business-critical data in today s interconnected world. About the Cloud Platform Team: The Cloud Platform team is the backbone of Druva s SaaS operations. We design and build key features that serve both customer-facing products and internal stakeholders, playing a crucial role in scaling Druva s architecture. Our focus spans Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem & Integrations, Licensing, Billing, and Revenue Systems. Together, we ensure Druva s platform is robust, scalable, and ready for the future. Role Overview: We are looking for a talented Staff SDET with 3-5 years of experience specializing in Python-Selenium automation. You will design and develop automation frameworks, create comprehensive test plans, and ensure the quality of Druva s web applications. The ideal candidate has a strong foundation in QA principles and hands-on experience in automation frameworks, along with a passion for delivering high-quality software. Key Skills & Experience: 3-5 years of experience in automation testing. Proficient with Python-Selenium, pytest, and Robot Framework. Familiarity with Unix/Linux environments, Docker, CI/CD pipelines, and version control systems like SVN/Git. Strong knowledge of automation testing principles, manual testing concepts, and various testing methodologies. Experience working with SQL databases such as MySQL, Oracle, PostgreSQL RDS. Ability to quickly analyze test failures and trace issues to product or automation code. Experience with test management tools such as X-Ray. Desirable: Exposure to AWS cloud ecosystem. Experience working within Agile frameworks such as Scrum, including story breakdown and story pointing. Responsibilities: Develop detailed test plans for medium to large-scale features. Design and enhance automation frameworks to support feature test automation. Maintain and extend existing automation suites, writing new test cases and fixing broken tests. Participate actively in test case and code reviews. Engage in bug triaging and track quality assurance metrics. Identify bottlenecks in QA processes and recommend improvements. Soft Skills: Excellent communication and teamwork abilities. Strong problem-solving skills with keen attention to detail. Ability to prioritize tasks and deliver results in a fast-paced environment. If you re passionate about quality engineering and eager to contribute to a cutting-edge cloud security platform, join us at Druva and help build the future of autonomous data protection.

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Delivery Manager Engineering (Pune) Job Type: Full-Time Department: Engineering Experience Level: 5+ Years Location: Pune, India About the Role: We re seeking an experienced Delivery Manager to lead the successful execution of agile software projects across multiple teams and clients. If you have a strong technical foundation, a passion for cloud-based solutions, and proven experience in managing software delivery, this is the role for you. Key Responsibilities: Lead and manage end-to-end agile product deliveries across multiple client engagements Translate technical designs and architecture into actionable delivery plans Collaborate with engineers to define and implement scalable solutions on Amazon Web Services (AWS) and Microsoft Azure Contribute to feature design and implementation of critical end-to-end solutions Standardize engineering best practices and drive code quality through reviews and mentoring Own delivery timelines, project milestones, and client satisfaction metrics Technical Skills Required: Strong grasp of computer science fundamentals algorithms, data structures Hands-on understanding of networking (TCP/IP, ports, firewalls) and database design (schema, indexing) Experience with SQL and NoSQL databases (e.g., MySQL, MSSQL Server, DynamoDB, CosmosDB) Minimum 5 years of hands-on programming experience Minimum 3 years of project management experience in web development Proficiency in Agile methodologies and tools (e.g., Jira, Trello) Soft Skills & Qualities: Strong ownership mindset with the ability to take initiative and drive solutions Excellent interpersonal and stakeholder management skills Clear and confident communication skills Ability to quickly build trust and rapport with internal teams and clients Passionate about agile delivery excellence and continuous learning Be part of a forward-thinking company delivering scalable cloud solutions Lead strategic projects in a high-growth, collaborative environment Build and mentor agile teams, influencing engineering culture and product success

Position: Product Delivery Engineer Location: Pune (Onsite/Hybrid) Type: Full-Time Department: Engineering Experience Level: Experienced About the Role We re looking for a Product Delivery Engineer who s passionate about solving complex problems and delivering high-impact software solutions. If you're eager to work across the full stack, thrive in a fast-paced environment, and want to build resilient, scalable products using modern cloud technologies this is the role for you. What You'll Be Doing Design and contribute to robust, scalable features on AWS and Azure cloud platforms. Implement critical end-to-end features that drive real value. Write high-quality, well-tested, maintainable code. Manage your own tasks, deadlines, and deliverables with minimal supervision. Collaborate across teams and tech stacks with a willingness to learn and adapt. Participate in code reviews, offer mentorship, and help elevate the team s technical bar. What You Bring to the Team Technical Skills Frontend: React.js, React Native, or Angular. Backend: Experience with one or more of Python, Java, Node.js, Golang, or C#. Familiarity with cloud platforms (AWS, Azure) and a strong interest in cloud-native development. Solid foundation in computer science fundamentals including: Data structures and algorithms Networking basics (TCP/IP, ports, firewalls) Database principles (schema design, indexing, optimization) Hands-on experience with relational and NoSQL databases like MySQL, SQL Server, DynamoDB, or Cosmos DB. While full-stack experience is preferred, we also welcome specialists with deep frontend or backend expertise. Soft Skills & Mindset A responsible, ownership-driven attitude toward features and deliverables. A natural leader and mentor who leads by example. Excellent communication and interpersonal skills. Ability to build trust and collaborate effectively with cross-functional teams. Enthusiastic about learning and applying agile software delivery best practices. Join us to build cutting-edge products that scale and grow alongside a team that values curiosity, craftsmanship, and collaboration.

SAP Hybris Commerce Consultant/Developer Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role and Responsibilities As a Consultant/Developer, you will serve as a client-facing practitioner who sells, leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. You will work on projects that help clients integrate strategy, process, technology, and information to increase effectiveness, reduce costs and improve profit and shareholder value. You can take advantage of opportunities to master new skills, work across different disciplines, move into new challenges and develop a robust understanding of different industries. Your primary responsibilities include: Work in an Agile environment (with Product Owners, Requirement Managers, Developers, QA) to define requirements and design the solution, depending on the project. Participate in the software design, software development, and package implementation using industry standard platforms of SAP Hybris Commerce. Interfaces with system integrators and IT engineers on projects to ensure proper adherence to SDLC and platform integrity. Ensures software developed is held to high quality standards through code and design reviews. Become an integral part in providing Hybris Solutions to B2B and B2C customers. Required Education Bachelor's Degree Preferred Education Master's Degree Required Technical and Professional Expertise Minimum 4 to 5 years of experience in IT Industry in the SAP Hybris Commerce. Expertise with 5+ years in Java, Advance Java, Spring Framework, Java Script. Proficient in Hybris Commerce experience with 8+ years experience along with Hybris Commerce Implementation Project. Portfolio of previous work must be presented incorporating UI designs and/or sketches that demonstrate an understanding of wireframing, interaction design, visual design and design best practices. Preferred Technical and Professional Experience Proven Soft skills in written and verbal. You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work. Qualification : Bachelor's Degree

Role: Software Engineer Department: Research & Development About Entrata Since our founding in 2003, Entrata has grown from a visionary idea by college students transforming online rent payments into a global leader in property management technology. Today, we provide a comprehensive software suite supporting rent payments, leasing, maintenance, insurance, marketing, and communication tools, all aimed at reshaping the way property owners, managers, and residents interact. Entrata s culture thrives on intelligence, adaptability, and collaboration, with a global team of over 2,200 team members across multiple global offices. Our transparent, startup-inspired culture blends innovation with the stability of a market leader, driven by boldness, resilience, and a commitment to diverse perspectives. About the Role We re seeking a Software Engineer to join our R&D team. This role focuses on designing systems, collaborating with senior architects and offshore teams, and helping build the technical foundation for scalable products. You ll work closely with development managers, product teams, and UX designers, playing a key role in architectural decisions while also owning your own development projects. Key Responsibilities Develop well-structured, testable, and efficient code. Collaborate with Development Managers, UX designers, Product Managers, and offshore teams to solve technical challenges. Design high-performance database schemas and code architecture for core products. Empower offshore teams by providing clear guidance, regular communication, and technical oversight. Conduct code reviews, ensuring code quality, consistency, and scalability. Maintain and optimize database queries, writing scalable SQL. Contribute to both back-end and front-end development across the product lifecycle. Advocate for and participate in Agile and Scrum processes. Own the preparation and release of software components. Proactively manage high-traffic website operations, troubleshooting and resolving performance issues. Enhance existing features and refactor code for long-term improvement. Apply industry best practices and emerging technologies to improve service quality. Minimum Qualifications 3-5 years of development experience (PHP preferred). Experience with web-based applications. Strong proficiency in SQL and database management. Strong written and verbal communication skills. Ambitious, dedicated, and a little eccentric thrives in a collaborative, creative, and fast-paced environment. Team player committed to standardizing code and architecture. Preferred Qualifications Experience with microservices architecture. Experience working with offshore development teams.