Armour Corporate Services Reviews by Employees

As a Back End Developer at Zuno, you will play a pivotal role in shaping the technical backbone of our customer-centric insurance platform. You will architect, build, and optimize APIs and services that deliver seamless experiences across motor and health insurance journeys. You will tackle challenges around scalability, performance, and security ensuring our microservices and serverless components meet stringent SLAs. This role offers the opportunity to innovate on usage-based insurance telematics, API ecosystems, and cloud-native best practices. Key Responsibilities : - Design and implement secure, scalable REST APIs using Node.js/Express, adhering to industry best practices. - Develop cron jobs and scheduled tasks to automate data workflows and support backend operations. - Optimize data models and queries for SQL and NoSQL databases, ensuring low-latency and high-throughput access. - Implement authentication, authorization, caching, and distributed system patterns for robust service delivery. - Write comprehensive unit and integration tests, targeting &gt;80% test coverage for all server-side components. - Collaborate with front-end developers on full-stack features, leveraging React.js integrations where applicable. - Monitor and troubleshoot production performance, utilizing logging and profiling tools to maintain 99.9% uptime. - Leverage AWS services (EC2, Lambda, API Gateway, RDS, CloudFront) to build serverless and containerized microservices. - Participate in code reviews, conduct technical design sessions, and mentor peers to uphold coding standards. Critical Success Factors : - API Latency : Average response time under 200ms for core endpoints. - System Uptime : Maintain 99.9% availability, with proactive incident prevention. - Test Coverage : Achieve and sustain &gt;80% automated test coverage. - Deployment Frequency : Support bi-weekly releases with rollbacks below 5%. - Issue Resolution : Address critical production bugs within 24 hours. Education and Experience : - Bachelors degree in Computer Science, Engineering, or equivalent. - 2 to 5 years of hands-on backend development experience with Node.js/Express. - Proven expertise with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, DynamoDB) databases. - Experience designing and deploying solutions on AWS (serverless, microservices). - Familiarity with automated testing frameworks and CI/CD pipelines. Technical Skills : - Node.js, Express.js, REST API design, HTTP protocol - SQL (MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB) - AWS (Lambda, EC2, API Gateway, RDS, CloudFront) - Automated testing (Mocha, Jest), CI/CD tools

Remote

Backend Developer - Node.js/Express.js (2-5 yrs)

Position Overview : As Python Tech Lead, you will be the technical cornerstone next phase of platform evolution. You will design and build scalable, secure, and high-performance Python/Django applications, driving system architecture, DevOps automation, and database optimisations. With a hands-on approach, you will ensure timely delivery of features and maintain the robustness of mission-critical services. In this role, you will spearhead the migration from MS SQL to PostgreSQL, implement Elasticsearch and Celery optimisations, and integrate external APIs (banking, KYC). You will lead sprint planning, enforce coding best practices, and uphold DPDP Act, ISO 27001, and SOC 2 compliance. Your leadership will directly influence ability to deliver data-driven insights at scale. Key Responsibilities : - Design and build scalable Python/Django applications, APIs, and workflows. - Lead architectural decisions on integrations, microservices, and system design. - Manage sprint planning, task allocation, and oversee production deployments. - Write, review, and optimise code for performance, scalability, and security. - Drive the MSSQL, PostgreSQL migration, ensuring data integrity and minimal downtime. - Implement Elasticsearch, Celery, Django Signals, and other backend optimisation tools. - Automate workflows using Python scripts, AI/ML components, and emerging technologies. - Debug, troubleshoot, and resolve production issues with minimal business impact. - Mentor developers, conduct code reviews, and enforce coding best practices. - Ensure compliance with security protocols, DPDP Act, ISO 27001, and SOC 2 requirements. Critical Success Factors : - Delivery of high-availability Python/Django services with &lt;0.1% unplanned downtime. - Seamless migration to PostgreSQL completed within project timelines and budget. - Performance improvements through Elasticsearch and Celery, reducing processing latency by target thresholds. - Adoption of CI/CD pipelines and infrastructure as code across development and production. - Rapid resolution of production issues, meeting SLAs and minimising business disruption. - Growth and retention of a skilled development team through effective mentorship and leadership. - Compliance audits passed for DPDP Act, ISO 27001, and SOC 2 without major findings. Education and Experience : - B.Tech/M.Tech in Computer Science, Information Technology, or related field. - Minimum 8 years of experience as a Python Developer, including 23 years in a team lead role. - Proven track record of designing and deploying large-scale web applications and APIs. - Hands-on expertise with Python/Django, MS SQL, PostgreSQL, and system architecture. - Extensive experience with AWS services (EC2, IAM, S3), Docker, and CI/CD deployments. - Demonstrated ability to integrate external APIs (banking, KYC) and manage data-driven solutions. Essential Skills and Competencies : Technical Skills : - Python (Django, Gunicorn, Django Signals) - Relational Databases (MS SQL, PostgreSQL) - DevOps & CI/CD (Docker, AWS EC2/IAM/S3) - Backend Tools (Celery, Elasticsearch) - API Design & Integration (REST, GraphQL, Banking/Govt APIs) - Automation & Scripting (Python, AI/ML basics) - Familiarity with Frontend Frameworks (React, React Native, Android Java) - Deployment Platforms (Netlify, Vercel) and Open-Source Tools (Apache Superset) Soft Skills : - Excellent written and verbal communication - Strong analytical and problem-solving aptitude - Effective collaboration with cross-functional teams - Attention to detail in security and compliance contexts Behavioural Strengths : - Continuous learning and adaptability to emerging tech - Customer-centric mindset focused on delivering impact - High accountability and ownership of deliverables Leadership Skills : - Proven ability to mentor and develop engineers - Strategic decision-making and architectural vision - Stakeholder management and influence across functions - Efficient prioritisation and resource allocation

Mumbai

Full Stack Python Developer (8-15 yrs)

Zuno is seeking a Tech Lead to join their Agile Development team. The ideal candidate will be a self-driven innovator who thrives on pushing boundaries to create industry-leading products. Key Responsibilities : - Hire and mentor a team of high-calibre front-end and back-end engineers. - Design and develop new user-facing full-stack applications. - Build reusable components and front-end, and backend libraries for future use - Optimise pages for maximum performance across a variety of devices and browsers. - Optimise the backend for high scale. - Contribute to architecture, database design and data modelling. - Implement APIs and ensure security, scalability, and performance. - Practical experience in real-time implementation (rather than just theory) Skills Required : - BE / B Tech with 5 - 8.5 years of experience in software development with a minimum of 2 years as a Tech Lead. - Proficiency in NodeJS, ReactJS, PostgreSQL, Redis, AWS, Python, and Microservices. - Deep understanding of at least one of React JS / Vue JS and its core principles - Deep understanding of NodeJS. - Experience with common front-end development tools such as Babel, webpack, and npm. - Familiarity with at least one code versioning tool such as Git, SVN, etc. - Good understanding of quality JavaScript code (Object-oriented and commonly used design patterns) - Capable of debugging complex issues in JavaScript - Experience in building complex single-page applications with front-end and back-end. - Experience with production full-stack environment debugging and DevOps experience. - Familiarity with RESTful APIs - Hands-on coding experience. - Strong experience in the areas of API implementation, considering security, scalability and performance is needed. - Strong experience in database design and data modelling for both RDBMS and NoSQL-based databases. - Strong experience/knowledge in Architecture & Design, NFRs and the ability to derive technical solutions based on functional requirements is mandatory. - Experience in Data structures, algorithms and Commands. - Exposure to enterprise quality solution creation from scratch, considering technology fitment to the problem. - Strong practical hands-on experience is needed rather than theory. Good to Have : - Advanced knowledge of HTML5, CSS3 and responsive web development. - Experience with writing unit test cases with JS frameworks. - Experience with highly scalable applications. - AWS experience.

Anywhere in India/Multiple Locations

Technical Lead - Full Stack Applications (4-9 yrs)

Position Overview : As Python Tech Lead, you will be the technical cornerstone of next phase of platform evolution. You will design and build scalable, secure, and high-performance Python/Django applications, driving system architecture, DevOps automation, and database optimisations. With a hands-on approach, you will ensure timely delivery of features and maintain the robustness of mission-critical services. In this role, you will spearhead the migration from MS SQL to PostgreSQL, implement Elasticsearch and Celery optimisations, and integrate external APIs (banking, KYC). You will lead sprint planning, enforce coding best practices, and uphold DPDP Act, ISO 27001, and SOC 2 compliance. Your leadership will directly influence ability to deliver data-driven insights at scale. Key Responsibilities : - Design and build scalable Python/Django applications, APIs, and workflows. - Lead architectural decisions on integrations, microservices, and system design. - Manage sprint planning, task allocation, and oversee production deployments. - Write, review, and optimise code for performance, scalability, and security. - Drive the MSSQL PostgreSQL migration, ensuring data integrity and minimal downtime. - Implement Elasticsearch, Celery, Django Signals, and other backend optimisation tools. - Automate workflows using Python scripts, AI/ML components, and emerging technologies. - Debug, troubleshoot, and resolve production issues with minimal business impact. - Mentor developers, conduct code reviews, and enforce coding best practices. - Ensure compliance with security protocols, DPDP Act, ISO 27001, and SOC 2 requirements. Critical Success Factors : - Delivery of high-availability Python/Django services with &lt;0.1% unplanned downtime. - Seamless migration to PostgreSQL completed within project timelines and budget. - Performance improvements through Elasticsearch and Celery, reducing processing latency by target thresholds. - Adoption of CI/CD pipelines and infrastructure as code across development and production. - Rapid resolution of production issues, meeting SLAs and minimising business disruption. - Growth and retention of a skilled development team through effective mentorship and leadership. - Compliance audits passed for DPDP Act, ISO 27001, and SOC 2 without major findings. Education and Experience : - B.Tech/M.Tech in Computer Science, Information Technology, or related field. - Minimum 8 years of experience as a Python Developer, including 23 years in a team lead role. - Proven track record of designing and deploying large-scale web applications and APIs. - Hands-on expertise with Python/Django, MS SQL, PostgreSQL, and system architecture. - Extensive experience with AWS services (EC2, IAM, S3), Docker, and CI/CD deployments. - Demonstrated ability to integrate external APIs (banking, KYC) and manage data-driven solutions. Essential Skills and Competencies : Technical Skills : - Python (Django, Gunicorn, Django Signals) - Relational Databases (MS SQL, PostgreSQL) - DevOps & CI/CD (Docker, AWS EC2/IAM/S3) - Backend Tools (Celery, Elasticsearch) - API Design & Integration (REST, GraphQL, Banking/Govt APIs) - Automation & Scripting (Python, AI/ML basics) - Familiarity with Frontend Frameworks (React, React Native, Android Java) - Deployment Platforms (Netlify, Vercel) and Open-Source Tools (Apache Superset) Soft Skills : - Excellent written and verbal communication - Strong analytical and problem-solving aptitude - Effective collaboration with cross-functional teams - Attention to detail in security and compliance contexts Behavioural Strengths : - Continuous learning and adaptability to emerging tech - Customer-centric mindset focused on delivering impact - High accountability and ownership of deliverables Leadership Skills : - Proven ability to mentor and develop engineers - Strategic decision-making and architectural vision - Stakeholder management and influence across functions - Efficient prioritisation and resource allocation

Python Technical Lead - Django Framework (8-15 yrs)

Position Overview : As our IoT Solutions Specialist, you will serve as the technical architect and domain expert for industrial and smart-city use cases in the Kingdom of Saudi Arabia. You will translate complex business requirements into scalable, compliant, and cost-effective IoT architecturescovering hardware, software, connectivity, and AI-driven analytics. You will collaborate closely with clients in Oil & Gas, Utilities, Mining, and Smart Cities, as well as internal IT/OT teams and technology partners. Your role is critical in driving opportunity strategy sessions, leading technical presentations, and ensuring that company's IoT implementations meet performance, compliance, and sustainability standards. Key Responsibilities : - Demonstrate deep expertise in current and emerging IoT technology stacks, including hardware, software, and connectivity. - Design and build end-to-end IoT applications for use cases such as predictive maintenance, connected worker solutions, indoor/outdoor tracking, flood detection, and waste monitoring. - Translate business requirements into well-architected, compliant, and documented solutions; integrate these into client procedures and IT best practices. - Architect high-performing and scalable IoT platforms, encompassing Edge/Fog computing, GPU gateways for computer vision, and telematics gateways. - Lead technical presentations and demonstrations for internal teams and external clients, showcasing ourclient innovative IoT and AI-based video analytics solutions. - Timely delivery of scalable, reliable IoT solutions that meet or exceed client expectations. - High client satisfaction and repeat business from strategic accounts in Oil & Gas, Utilities, Mining, and Smart Cities. - Achievement of key performance metrics, including system uptime, data accuracy, and end-to-end latency. - Seamless integration of IoT solutions into existing IT/OT ecosystems, ensuring compliance and long-term sustainability. - Demonstrated innovation through the adoption of new technologies and continuous optimization of operational costs. - Participate in opportunity and account strategy sessions, leveraging your technical domain expertise to address real customer challenges. - Stay abreast of industry trends and proactively identify opportunities for new and emerging IoT technologies. Critical Success Factors : - Timely delivery of scalable, reliable IoT solutions that meet or exceed client expectations. - High client satisfaction and repeat business from strategic accounts in Oil & Gas, Utilities, Mining, and Smart Cities. - Achievement of key performance metrics, including system uptime, data accuracy, and end-to-end latency. - Seamless integration of IoT solutions into existing IT/OT ecosystems, ensuring compliance and long-term sustainability. - Demonstrated innovation through the adoption of new technologies and continuous optimization of operational costs. Education and Experience : - Bachelors degree in Computer Engineering, Computer Science, Systems Engineering, or a related field. - Minimum of 7+ years of hands-on experience in the full IoT ecosystem, with a focus on industrial applications. - Proven track record designing and architecting scalable, high-performance IoT platform components. - Hands-on experience with leading IoT platforms (Thingsboard, PTC ThingWorx, AVEVA UOC, Google IoT) and open-source frameworks (Node-RED, Apache Airflow). - Experience in Edge/Fog computing, GPU gateways for computer vision, telematics gateways, and connected worker solutions. - Proficiency with industrial sensors and communication protocols (MQTT, Modbus, OPC-UA, Rest API, NB-IoT, LoRaWAN, UWB). Essential Skills and Competencies : Technical Skills : - Expert integration of IoT hardware, software, connectivity, and protocols. - Skilled in cloud (PaaS, SaaS, IaaS) and on-premises deployments. - Proficient with sensor technologies (ultrasonic, radar, image sensors) and communication systems (5G/4G, LPWAN). Soft Skills : - Excellent verbal and written communication; strong interpersonal acumen. - Collaborative mindset; ability to build and maintain relationships with cross-functional teams and partners. Behavioral Strengths : - Strong critical thinking and problem-solving abilities. - Adaptable to rapidly evolving technologies and complex environments. - Commitment to continuous learning and driving innovation. Leadership Skills : - Ability to lead technical discussions, workshops, and client presentations. - Skilled at influencing decision-making and guiding project teams to successful outcomes. - Aptitude for mentoring and coaching junior team members.

Bangalore

IoT Solutions Specialist (7-15 yrs)

Position Overview : As a key member of the data science practice, you will lead efforts to transform raw data into strategic insights that enhance system performance and drive cost efficiencies. You will tackle complex challenges within ML and infrastructure ecosystems, designing rigorous experiments and models that inform product and business decisions. In this role, you will partner closely with engineering, product, and client teams to translate data signals into actionable strategies. Your work will directly impact the optimization of bidding systems and the evolution of our AI-powered products, positioning you at the heart of ambitious growth initiatives. Key Responsibilities : - Analyze large, complex datasets using Python, R, and SQL to extract meaningful patterns and signals. - Develop and implement simulation models to validate hypotheses and quantify performance gains. - Design robust experiments and metric frameworks to deliver unbiased insights for product and business decisions. - Collaborate with engineering and product teams to integrate data-driven solutions into production-grade ML systems. - Communicate findings and recommendations effectively to stakeholders through clear visualisations and reports. - Optimize ML algorithms and infrastructure to improve efficiency, scalability, and cost-effectiveness. Critical Success Factors - Timely delivery of actionable insights that lead to measurable cost reductions and performance improvements. - Successful implementation of experimental designs resulting in quantifiable system gains. - Effective collaboration with cross-functional teams, evidenced by seamless integration of data solutions. - High stakeholder satisfaction and retention through clear communication and impactful results. Education and Experience - Masters degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science) or equivalent. - Minimum 3 years of professional experience in data science, analytics, or a related field. - Proven expertise in statistical analysis, experimental design, and machine learning algorithm development. - Experience working with large-scale datasets and deployment of ML solutions in production environments. Essential Skills and Competencies Technical Skills : - Proficient in Python, R, SQL, and data manipulation libraries (e.g., Pandas). - Strong knowledge of ML algorithms, including deep learning, random forest, gradient boosted trees, and clustering techniques. - Expertise in experimental design, hypothesis testing, regression analysis, and statistical modelling. Soft Skills : - Exceptional verbal and written communication, with the ability to present complex analysis clearly. - Strong problem-solving and critical-thinking abilities. Behavioural Strengths : - Curiosity and passion for data-driven innovation. - Adaptability in a fast-paced, agile environment. - Meticulous attention to detail and commitment to high-quality deliverables. Leadership Skills : - Ability to influence and build positive relationships with stakeholders at all levels. - Collaborative mindset with experience mentoring peers and driving cross-functional initiatives. - Thought leadership in advocating best practices for data science and AI application

Noida

Hyderabad

Data Scientist - R/SQL/Python (4-10 yrs)

Position Overview : In this role, you will spearhead the design, development, and optimization of both traditional machine learning systems and LLM-based applications. Youll partner with enterprise stakeholders to translate complex business challenges into AI-driven solutions, ensuring models perform reliably in production and deliver tangible ROI. You will also lead MLOps initiatives building automated pipelines for model training, deployment, monitoring, and evaluation and implement best practices for inference optimization, cost efficiency, and continuous quality assurance. This position offers the opportunity to shape AI engineering standards and advance cutting-edge capabilities at scale. Key Responsibilities : - Design and implement traditional ML and LLM-based systems to deliver scalable AI solutions - Optimize model inference for performance and cost-efficiency across cloud platforms - Fine-tune foundation models using LoRA, QLoRA, and adapter layers to meet client specifications - Develop and apply prompt engineering strategiesincluding few-shot learning, chain-of-thought, and RAG frameworks - Architect and build robust backend infrastructure (APIs, microservices) to support AI-driven applications - Implement and manage end-to-end MLOps pipelines, automating model training, deployment, and monitoring - Design continuous monitoring and evaluation systems to ensure model accuracy, performance, and compliance - Create automated testing frameworks and CI/CD pipelines to guarantee model quality and reliability Critical Success Factors : - Successful deployment of AI-powered applications in production with low latency and high throughput - Demonstrated cost savings through optimized inference and resource-efficient model tuning - High availability and reliability of MLOps pipelines, reflected in reduced downtime and streamlined workflows - Effective collaboration with cross-functional teams resulting in on-time, on-budget project deliveries Education and Experience : - Bachelors degree in Computer Science, Artificial Intelligence, Data Science, or a related field - 4+ years of experience in AI/ML engineering, software development, or data-driven solution delivery - Proven expertise in LLM fine-tuning (LoRA, QLoRA, adapter layers) and inference optimization - Strong backend development experience using Python with FastAPI or Flask - Hands-on experience with cloud ML services (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) - Familiarity with MLOps frameworks, orchestration tools (Airflow), and CI/CD pipelines Essential Skills and Competencies : Technical Skills : - Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) - Deep understanding of LLM serving tools (vLLM, TensorRT-LLM, SGlang) - Experience with RESTful API development and vector/traditional databases (PostgreSQL, Redis) - Hands-on expertise in AWS, GCP, Azure, and container orchestration (Docker, Kubernetes) - Familiarity with MLOps tools for monitoring, evaluation, and CI/CD automation Soft Skills : - Strong problem-solving and analytical thinking - Excellent communication, able to convey complex AI concepts to non-technical stakeholders - Adaptability to shifting priorities in an agile, project-based environment Behavioural Strengths : - Detail-oriented with a quality-first mindset - Proactive and self-motivated with a passion for continuous learning - Collaborative team player who fosters knowledge sharing and mentorship Leadership Skills : - Ability to drive end-to-end AI projects, coordinating across cross-functional teams - Strategic vision to guide technology choices and best practices in AI/ML engineering - Mentorship capability to support junior engineers and elevate team skillsets

Artificial Intelligence Engineer - Machine Learning (4-10 yrs)

Job Overview : Position Title : Databricks Engineer Location : Noida/Hyderabad P&L Responsibility : No Key Stakeholders : Data Scientists; Business Analysts; Machine Learning Engineers; Project Sponsors Reports To : Director of Data Engineering Direct Reports : None (Individual Contributor) Nature of Work : Hybrid design, develop and optimise scalable big data solutions on the Databricks Unified Analytics Platform, enabling advanced AI/ML workflows About the Client : This is a high-growth data & AI solutions firm partnering with mid-market and large enterprises in finance, healthcare and retail. With a lean, agile team of data engineers and machine learning specialists, they deliver end-to-end analytics - from data ingestion and lakehouse architecture to production-grade AI deployments. A strong focus on continuous upskilling, cross-functional innovation workshops and mentorship drives a culture of growth and thought leadership. Why Join This Organisation : - Lead the design of enterprise-scale data lakehouse and AI/ML solutions for marquee clients - Thrive in a lean, agile environment that prioritises innovation, learning and collaboration - Shape the next generation of predictive analytics and streaming data pipelines - Accelerate your career through mentorship programs and exposure to cutting-edge tooling Position Overview : As a Databricks Engineer, youll be the technical cornerstone for building high-performance, cost-efficient data architectures on Databricks. Collaborating with data scientists, ML engineers and business stakeholders, youll architect robust ETL workflows and real-time analytics solutions that drive strategic decision-making. You will tackle challenges across distributed data processing, performance tuning and governance - promoting best practices in Apache Spark, security and compliance. Your contributions will ensure data integrity, reliability and scalability across large-scale enterprise environments. Key Responsibilities : - Design, implement and optimize batch and streaming pipelines in Databricks - Develop scalable ETL workflows using Apache Spark for large datasets - Architect and tune Delta Lake-based data lakehouse solutions for performance and cost efficiency - Enforce data governance, security policies and compliance standards - Integrate advanced AI/ML models into production pipelines alongside data scientists - Automate deployments via CI/CD tools and infrastructure-as-code (e.g., Terraform) - Monitor and troubleshoot cluster performance, job failures and data quality issues Education & Experience Requirements : - Bachelors or Masters in Computer Science, Data Engineering or related field - 5+ years hands-on experience with Databricks and Apache Spark in enterprise settings - Proven expertise in SQL and Python or Scala for data processing - Experience with cloud platforms (AWS, Azure or GCP) and Delta Lake architecture - Familiarity with CI/CD frameworks, DevOps best practices and infrastructure-as-code - Solid understanding of data security, compliance and governance Essential Skills & Competencies : - Technical/Functional : Advanced knowledge of Databricks, Apache Spark, Delta Lake, cloud data services - Leadership : Cross-functional collaboration, influencing architectural decisions, mentoring peers - Behavioural : Proactive problem-solver, detail-oriented, adaptable in fast-paced agile teams, strong communicator

Azure Databricks Engineer - Spark/Python (5-10 yrs)

Position Overview : The Cloud (GCP) Consultant plays a critical role in leading the design, architecture, and deployment of end-to-end Google Cloud solutions tailored to the complex needs of industrial and government clients. This role goes beyond technical delivery, involving strategic pre-sales engagements, stakeholder education, and thought leadership in cloud adoption. You will drive initiatives focused on data lake and analytics modernization, deliver high-performance data pipelines, and influence the digital maturity journeys of India's most impactful sectors. The ideal candidate brings a rare combination of deep technical expertise, business acumen, and a consultative approach to engage stakeholders from the data center to the boardroom. Key Responsibilities : - Architect scalable, secure, and cost-efficient data platforms on GCP tailored to industrial and government sector use cases. - Design data lake and data warehouse architectures using GCP-native tools like BigQuery, Cloud Storage, Pub/Sub, Dataproc, and Dataflow. - Develop robust data ingestion, transformation, and processing pipelines using Apache Beam, Spark, and GCP-native services. - Lead GCP implementation across compute, storage, analytics, and security services; ensure alignment with best practices and client objectives. - Own the technical solutioning for RFPs/RFQs, including architecture design, sizing, and proposal creation. - Engage in technical pre-sales activities, client demos, and solution workshops to drive cloud adoption. - Guide and mentor internal/external stakeholders on GCP usage, architectural standards, and cloud-native best practices. - Ensure data security and compliance using IAM, VPC Service Controls, and GCP-native governance tools. - Interface with product managers, solution architects, and delivery teams to ensure high-quality solution deployment. Critical Success Factors : - Successful delivery of 2+ end-to-end GCP cloud transformation projects across government and industrial sectors. - Consistent track record of influencing cloud adoption via technical pre-sales for at least 2 major bids (RFPs/RFQs). - Design and deployment of a secure, high-throughput data lake architecture with measurable impact on client KPIs. - Recognition by client stakeholders for driving efficiency and data visibility through tailored cloud analytics solutions. Education and Experience : - Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related discipline. - 8+ years of overall experience in the technology industry. - 8+ years of deep hands-on experience with cloud platforms, specifically GCP. - 2+ full lifecycle GCP implementations involving data migration, cloud-native infrastructure, and analytics pipelines. - Prior experience delivering at least one digital transformation project in each of the following: industrial and government sectors. - Google Cloud Professional Certification (e.g., Cloud Architect, Data Engineer) strongly preferred. Essential Skills and Competencies : Technical Skills : Expertise in GCP services : - BigQuery, Dataflow, Cloud Storage, Pub/Sub, Dataproc, Vertex AI, Kubernetes, IAM, Cloud DLP, and Looker. - Strong understanding of data engineering tools and concepts: ETL/ELT, SQL, Python, Apache Beam, Spark, Airflow. - Experience in sizing, provisioning, security, and compliance for large-scale cloud deployments. - Cloud-native DevOps and CI/CD familiarity is a plus. Soft Skills : - Strong communication and storytelling abilities to bridge technical and business audiences. - High learning agility and ability to simplify complex concepts for clients and peers. - Stakeholder management skills across senior and technical roles. Behavioural Strengths : - Resilience and adaptability in fast-paced environments. - Collaborative mindset with a proactive problem-solving orientation. - Integrity and accountability in both pre-sales and delivery engagements. Leadership Skills : - Ability to drive strategic conversations around cloud transformation and influence client buy-in. - Proficiency in mentoring and uplifting internal talent pools. - Comfort with ambiguity and agility to navigate diverse client environments.

Google Cloud Platform Consultant - CI/CD Pipeline (7-12 yrs)

Job Purpose : The SAP FS-CD Functional Consultant is responsible for interacting with business users to gather and analyse requirements, translating these into effective technical solutions, and implementing new functionalities while improving existing functionalities in the SAP Financial Services - Collections and Disbursements (FS-CD) module. The role involves collaborating with multiple teams, including experts from other SAP modules, to define requirements and develop system solutions. The consultant will support mission-critical SAP financial applications, focusing on enterprise payments and billing, while continuously learning and growing skills within the FS-CD Insurance module. Key Responsibilities : - Interacting with the Business Users to gather and understand the requirements. - Analysing and articulating business requirements from a functional standpoint. - Translating requirements into effective technical solutions. - Implementing new functionalities and improving existing functionalities in FS-CD. - Collaborate with multiple teams including other SAP modules (FI/GL, FS-PQM, FS-PM, FS-CM, FS-ICM, and FS-RI) experts to define and understand the requirements and then explain the system solution. - Work with multi-functional/technical teams to prioritise the work, get dependencies resolved and undertake system development. - Undertake responsibility for the day-to-day care and support of mission critical SAP financial applications with an emphasis on enterprise payments. The position requires a strong well-rounded IT technician quick to pick up on the overall business and technology processes supported by the team while also eager to learn and grow skills in the FS-CD Insurance module used for enterprise-wide Payments and Billing. Skills Required : - Strong knowledge and experience in SAP FS-CD process and customization. - Excellent industry and business process know-how in the Finance, Insurance industry - Hands on experience insurance domain and specifically in SAP Collections and Disbursements (FS-CD) Performed Requirement gathering, Requirement analysis and Documentation, and Requirements Implementation during implementation process. - 4 years or more experience in SAP Collection and Disbursement (FS-CD) and worked on implementation and support projects. Must have at least 2 end-to-end implementation experiences in FS-CD. - Experience in developing Reports, Interfaces, Extension (RICEFW) objects related to process areas in FS-CD like Dunning, Invoicing/Correspondence, Payments, Returns and Clearing. - Experience in SAP FS-CD Master Data and Receivables data creation and maintenance using SAP standard tools like KCLJ. - Strong Knowledge of SAP FS-CD /FI-GL Integration, Account determination concepts. - Working knowledge on BDT, BRF+, ABAP Proxies, Complex Reports, file interfaces, direct input data transfer, workflow. - Good Programming Skills in ABAP, ABAP on HANA, ABAP Object Oriented Programming. - Strong understanding of Agile processes (SCRUM, KANBAN) and best practices - Problem solving and quick learner. - Dedicated, self-directed, motivated, proactive, and inquisitive.

SAP Consultant - FS/CD Modules (4-9 yrs)

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