Deployment Planning Jobs in Bengaluru

Technical Project Manager - AI Delivery Location: Bengaluru Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and business-focused virtual telecom operator for emerging markets. Founded in 2011, Exotel powers over 50 million daily engagements across voice, video, and messaging channels. Our cloud-based solutions are trusted by over 6,000 companies in more than 60 countries including major players like Ola, Swiggy, Flipkart, GoJek, Byju s, HDFC Bank, Zomato, and Urban Company. We are a Series D company valued at $100 million, with $60 million in ARR, and we provide communication APIs, a modern omnichannel contact center, and a conversational AI platform hosted on the cloud. About the Role Exotel is looking for a Technical Project Manager - AI Delivery to oversee the end-to-end delivery of complex AI-driven projects. You ll be responsible for managing the complete project lifecycle from initiation to closure ensuring that all deliverables meet quality standards, customer requirements, and timelines. As the primary customer interface, you will manage expectations, resolve issues proactively, and ensure successful AI-first implementations for enterprise customers. In this role, you will also contribute technical insights, provide support to your team, and help drive continuous improvement while maintaining a customer-centric focus. Responsibilities Project Planning & Execution: Develop detailed project plans, including scope, objectives, timelines, budgets, and resource allocation. Track progress, ensure deliverables meet quality standards, and ensure timely delivery. Customer Interface: Act as the primary point of contact for customers on assigned projects. Conduct regular status meetings, manage customer expectations, and ensure that their needs are consistently met. Scope & Requirement Management: Work closely with customers to define and document project requirements, manage scope changes, and ensure alignment with product capabilities. Risk Management: Identify potential project risks, develop mitigation strategies, and ensure timely issue resolution. Escalate risks to the Lead Project Manager when necessary. Cross-Functional Coordination: Coordinate daily activities with delivery and engineering teams, ensuring that technical tasks align with project timelines. Facilitate smooth handovers to support engineers post-delivery. Reporting & Stakeholder Communication: Prepare and present regular project status reports to the Lead Project Manager and other internal stakeholders. Methodology Adherence: Ensure all project activities adhere to AI delivery methodologies and best practices, optimizing workflows and processes. Mentorship: Provide mentorship to junior project team members, fostering a high-performing, value-driven organizational culture. Ownership: Take ownership of business satisfaction through the tested deployment of solutions and by consistently delivering on project objectives. Experience: 5+ years of project management experience, preferably in software or SaaS delivery, with a proven track record of managing complex projects from initiation to closure. Technical Knowledge: Strong understanding of integration methods for CRMs and APIs. Familiarity with cloud systems, architecture, networking, and deployment methodologies. AI/ML Knowledge: Familiarity with AI/ML, NLP, or conversational AI concepts is a plus. Requirements Gathering: Experience in gathering and translating customer requirements into actionable business use cases. Customer Management: Ability to run customer meetings, manage expectations, and handle change requests effectively. Technical Expertise: Strong understanding of Linux, networking, databases, message queues, and caching. GenAI Exposure: Hands-on experience with GenAI technologies, such as prompt engineering and Large Language Models (LLM) applications. Soft Skills: Excellent time management, communication, and interpersonal skills. Strong organizational and problem-solving abilities. Customer-Centric: Proactive, customer-focused mindset, ensuring timely issue resolution and high-quality delivery. General Skills Lead the implementation and testing of GenAI projects, ensuring alignment with customer requirements and business goals. Coordinate with pre-sales, product, and support teams to set expectations and deliver according to timelines. Ensure adherence to SLAs, proactively resolve delivery bottlenecks, and maintain a smooth delivery pipeline. Mentor junior engineers and uphold high-quality standards in all project deliverables. Innovation at Scale: Work on cutting-edge AI and communication technologies impacting millions of people daily. Growth & Impact: Be part of a rapidly growing company with ample opportunities for career development and personal growth. Collaborative Culture: Join a passionate, supportive, and high-performing team where collaboration and innovation are core values. Competitive Benefits: Enjoy comprehensive health insurance, mental wellness support, and a robust benefits package. If you are an experienced Project Manager with a strong technical background and a passion for AI-driven solutions, we d love to hear from you. Apply Now to join the Exotel team as a Technical Project Manager - AI Delivery and play a key role in transforming customer engagement across emerging markets.

Technical Project Manager Location: Bangalore Experience: 7 10 Years Education: B.E / B.Tech / M.E / M.Tech (Electronics, Electrical, Computer Science, or related field) Job Summary We are looking for a Technical Project Manager with a strong background in embedded software development, preferably within the automotive domain, to lead cross-functional teams and manage full-cycle project execution. The ideal candidate will be hands-on, highly organized, and experienced in SDLC methodologies such as ASPICE, CMMI, or similar standards. This role requires a blend of technical acumen and project management expertise to drive delivery excellence and ensure high-quality outcomes. Key Responsibilities Project Management Lead and manage end-to-end embedded software projects. Define project scope, timelines, milestones, and deliverables. Manage project estimation, planning, resource allocation, and tracking. Ensure adherence to project management best practices, including Agile or Waterfall methodologies as applicable. Quality & Compliance Ensure projects comply with quality standards such as ASPICE, CMMI, or equivalent. Facilitate regular audits, reviews, and assessments to meet compliance objectives. Technical Oversight Support embedded software teams through planning, design, development, testing, and deployment phases. Provide guidance on programming practices, particularly in C language, and software testing methodologies. Risk & Change Management Identify, assess, and manage project risks proactively. Drive structured change management and configuration control processes throughout the project lifecycle. Team Leadership & Communication Build, lead, and motivate cross-functional project teams. Act as the primary point of contact between engineering, quality assurance, and leadership. Ensure timely and transparent communication across all stakeholders. Required Skills & Experience 7 10 years of experience in embedded software development, including 3+ years in a project management or technical leadership role. Strong understanding of Software Development Life Cycle (SDLC) processes. Hands-on experience with programming in C and embedded systems. Familiarity with software testing strategies, unit testing, and integration testing. Proactive communication, stakeholder engagement, and conflict resolution skills. Proven ability to manage multiple projects and prioritize effectively. Strong team-building and leadership skills. Preferred/Added Advantage Experience in the automotive domain (preferred). Exposure to automotive standards such as AUTOSAR, ISO 26262 is a plus. Experience with project management tools and techniques (e.g., Jira, MS Project, Gantt charts). Be part of an innovative team working on next-generation embedded solutions. Collaborate with global clients and multidisciplinary teams. Gain exposure to best-in-class quality standards and project management frameworks. Competitive compensation and career advancement opportunities. Qualification : B.E / B.Tech / M.E / M.Tech (Electronics, Electrical, Computer Science, or related field)

Senior Manager Full Stack Engineering Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we blend the agility of a startup with the scale of a Fortune 100 company. Our technology teams drive transformation across banking by building next-generation financial products that are secure, user-centric, and powered by cutting-edge engineering practices. We are makers, breakers, doers, and thinkers working together to reinvent consumer finance through technology, modern design, and data science. As a company that builds its own software and platforms, we re constantly innovating to help over 65 million customers bank better. About the Role As a Senior Manager Full Stack Engineering, you ll lead multiple teams building highly available, scalable, and secure platforms and applications. You ll be at the forefront of technical design, architecture, and implementation, helping your teams deliver impactful solutions across web, mobile, backend services, and cloud infrastructure. This is a hands-on leadership role ideal for an experienced engineering leader who still loves to write code, mentor engineers, and contribute directly to architecture and product evolution. What You ll Do Lead full-stack engineering teams delivering cross-functional, multi-platform applications using modern cloud and open-source technologies. Own end-to-end technical design, architecture decisions, and delivery strategy for critical systems. Partner with architects, product managers, and cross-functional leaders to understand requirements, prioritize needs, and develop scalable solutions. Guide and mentor engineers, driving technical excellence, performance, and career growth across teams. Drive Agile delivery, ensuring projects meet timelines and quality standards while promoting DevOps best practices. Champion and enforce best practices in secure coding, architecture, compliance, and accessibility. Collaborate with internal and external stakeholders to align technology vision with business goals. Manage full software development lifecycle: planning, estimation, implementation, deployment, and support. Foster a culture of engineering excellence, continuous learning, and experimentation. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or a related field 8+ years of experience in software development, with a focus on full-stack systems 5+ years of experience managing software development teams through full release cycles Proven track record of leading Agile teams and delivering high-impact technology projects 5+ years of people management experience, including mentoring and team scaling Preferred Qualifications Master s Degree in Computer Science, Engineering, or Business 10+ years of software engineering experience in large-scale, distributed systems 6+ years of experience applying Agile methodologies (Scrum, Kanban, SAFe) Hands-on experience with some or all of the following: Languages: Java, Python, Go, JavaScript, Node.js Frontend: React, AngularJS, HTML5, CSS Cloud: AWS, Azure, GCP (AWS preferred) DevOps: CI/CD, Docker, Kubernetes, Terraform Databases: NoSQL (MongoDB, Cassandra), SQL, Redshift, Snowflake Strong understanding of accessibility standards and building inclusive digital products Experience with Big Data, event-driven architectures, and RESTful APIs Passion for mentoring, technical excellence, and building diverse, high-performing teams Join a team that's redefining how software powers banking Build next-gen cloud-native applications from scratch Work on meaningful problems with direct customer impact Thrive in a collaborative, transparent, and inclusive culture Access top-tier learning opportunities, technical conferences, and internal mentorship Qualification : Masters Degree in Computer Science, Engineering, or Business

Position: DevOps Engineer-2 Location: Bengaluru Employment Type: Full-Time Department: Engineering Job Description: We are looking for a skilled DevOps Engineer-2 to design, implement, and maintain secure, scalable, and highly available infrastructure. You will play a key role in automating infrastructure provisioning, capacity planning, and building robust monitoring and CI/CD pipelines. Responsibilities: Design and implement secure, scalable infrastructure solutions. Automate infrastructure provisioning, demand forecasting, and capacity planning. Develop automation tools and frameworks to enhance system observability, availability, reliability, performance, and latency monitoring. Monitor system health, application performance, security controls, and cost optimization. Participate in sustainable incident response, peer reviews, and blameless postmortems. Lead the adoption and rollout of best DevOps tools and automation practices across services. Build and maintain continuous integration and continuous deployment (CI/CD) pipelines. Required Skills and Experience: Minimum 3 years of experience in DevOps and cloud technologies. Expertise in at least one major cloud platform: AWS, Azure, or GCP. Strong production experience with Kubernetes, including deployment, management, and troubleshooting. Proven ability to design scalable and resilient infrastructure architectures. Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation. Strong debugging and troubleshooting skills. Deep knowledge of Linux servers and networking fundamentals. Hands-on experience with scripting or programming languages like Python, Shell, Go, or Java. Familiarity with monitoring and observability tools such as DataDog, NewRelic, ELK stack, Prometheus, or Grafana. Understanding of modern cloud-native development practices including microservices architecture and RESTful APIs. Ability to thrive in a fast-paced, dynamic work environment.

Plant HR Executive / Generalist Location: Bengaluru Department: Plant HR Designation: Executive Experience: 3 to 4 Years Education: MSW / MBA (HR) Job Summary As a Plant HR Executive at Sansera Engineering, you will be responsible for supporting a wide range of HR activities within the manufacturing facility. This includes manpower planning, grievance handling, payroll coordination, compliance, and employee engagement. The role requires a hands-on HR professional who can balance administrative efficiency with employee-centric support. Key Responsibilities 1. Floating Manpower Management Manage timely recruitment and deployment of contract/floating manpower. Liaise with manpower agencies to ensure optimal workforce availability for all shifts. 2. Grievance Handling Serve as the first point of contact for contract employee issues. Address and resolve grievances in a timely, fair, and policy-compliant manner. 3. MIS Reporting Generate and maintain monthly reports on attendance, manpower, attrition, and recruitment. Support HR planning with data insights and dashboards. 4. Payroll Support Assist in attendance reconciliation, leave tracking, and overtime validation. Coordinate with the payroll team to ensure accurate and timely salary processing. 5. Facility Operations (Canteen, Transport & Security) Monitor and manage daily operations in coordination with service vendors. Ensure SLA adherence and address employee feedback related to these services. 6. Employee Engagement & Communication Organize engagement activities, cultural events, and welfare initiatives. Support the creation of an inclusive and motivated work environment. 7. General Administration Oversee housekeeping, stationery, and basic facility maintenance. Ensure compliance with safety, hygiene, and company policies. 8. Continuous Improvement (Kaizen) Encourage employee participation in Kaizen initiatives. Track and document implementation of improvement suggestions. Skills & Competencies Strong interpersonal and communication skills. Proficient in MS Office (Excel, Word, PowerPoint). Basic knowledge of labor laws, HR compliance, and statutory requirements. Effective problem-solving and coordination abilities. Ability to independently manage field-level and administrative responsibilities. Qualification : MSW / MBA (HR)

Job Title: Circle Head Wireline Deployment Location: Bangalore Function: Network Wireline Homes Deployment Employee Type: Full-Time Experience Required: 12 to 15 Years Purpose of the Role The Circle Head Wireline Deployment is responsible for end-to-end execution of fiber rollout and transmission ISP implementation to meet internal and external bandwidth demands. The role ensures robust and scalable network deployment to support business growth across Mobility, FTTH, FTTB, and B2B services. This includes managing multi-functional teams, vendor operations, digitization tools, and government clearances for fiber infrastructure development. Key Responsibilities Fiber Rollout & Network Implementation Oversee the execution of fiber rollout projects (Intercity/Intra-city, FTTH, NLD, LMC) with a focus on quality, timeliness, and compliance. Ensure successful delivery of Home-passes and LM fiber for business segments such as FTTH, B2B, and Mobility. Drive 100% Acceptance Testing (AT) for deployed fiber kilometers/LMs. Network Infrastructure & Optimization Lead the implementation and capacity expansion of critical network elements (Core/Collector/OLT) as per transmission plans. Ensure alignment of new deployments with customer bandwidth needs and long-term scalability. Vendor & Program Management Manage vendor performance, coordinate execution plans, and ensure delivery against project timelines. Optimize material consumption and reduce inventory with effective coordination between SCM, stores, and implementation partners. Regulatory Compliance (ROW) Facilitate Right of Way (ROW) permissions through liaison with government authorities and partners. Validate and process commercial payments, track security deposits, and ensure proper documentation and recovery. Digitization & Process Enhancement Drive the adoption and integration of tools like Fiber Force App and GIS systems for real-time fiber tracking, monitoring, and data reporting. Set KPIs and performance metrics to ensure visibility, accountability, and continuous improvement. Stakeholder Management Build and maintain collaborative relationships with cross-functional teams (Planning, NOC, Marketing, Mobility, FTTH Planning, etc.) to ensure seamless network deployment. Act as a key liaison for internal teams and external stakeholders to facilitate project success. Qualifications & Experience Educational Qualification: B.E./B.Tech in Electronics, Telecommunications, or relevant engineering stream. Experience: 12 15 years of proven experience in OSP/ISP deployment within Transport, FTTH, and MPLS Networks. Project Management: Must have handled large-scale fiber deployment projects with team and vendor oversight. Key Competencies Deep understanding of telecom infrastructure and deployment models. Strong leadership with team motivation, decision-making, and vendor management skills. Excellent communication and interpersonal skills to influence stakeholders and resolve field-level challenges. Proficiency in handling digital monitoring tools and driving operational digitization. Qualification : B.E./B.Tech in Electronics, Telecommunications, or relevant engineering stream

Manager Adobe AEM Engineering Location: Bengaluru, India Department: Experience Engineering | Adobe AEM Type: Full-Time About the Role As a Manager Adobe AEM, you will lead the delivery of end-to-end digital experience platforms for global clients using Adobe Experience Manager and other Adobe Experience Cloud solutions. You will architect, implement, and optimize scalable enterprise content management solutions, while mentoring technical teams and working directly with clients to understand and translate business requirements into robust, scalable systems. Key Responsibilities Lead design, architecture, and implementation of large-scale AEM projects (Sites, Assets, AEM as a Cloud Service). Architect AEM components, templates, workflows, tagging, publishing, and metadata models. Define and implement cloud-native, SEO-optimized, accessible, secure, and performant digital platforms. Oversee quality processes, including CI/CD (e.g., Jenkins, Bamboo, Cloud Manager), code reviews, SonarQube, and automated testing. Manage infrastructure setup and configurations: Load Balancers, Apache, CDN, DR, and AEM environments. Collaborate across cross-functional teams including frontend (React, Angular, HTL), backend (Java), QA, and DevOps. Support content migration, integrations with eCommerce platforms (Hybris, Magento), and Digital Asset Management systems. Ensure adoption of best practices in performance, scalability, monitoring, and responsive design. Interface directly with clients for technical consulting, requirement gathering, and delivery oversight. Lead and mentor development teams (20+ members) across all project phases in Agile/Scrum environments. Required Skills & Experience 10+ years of experience in software engineering with at least 5+ in AEM development. Deep expertise in AEM architecture (including SaaS/Cloud Service, SDK), deployment (Maven), and migration planning. Proficient in Java 8/11, JCR, OSGi, Sling Models, HTL, JSP, and server-side integrations. Strong understanding of frontend development (ReactJS, Angular, Bootstrap, HTML5, CSS3, JS frameworks). Familiarity with Adobe I/O Runtime, Adobe Events, and cloud platforms (AWS, Azure, GCP). Experience with Adobe Experience Cloud tools: Target, Analytics, Campaign, Launch, Scene7. Proven success in leading full-stack delivery teams including frontend, backend, QA, and PM. Knowledge of SEO, accessibility (WCAG A, AA, AAA), performance monitoring (New Relic, AppDynamics), and analytics integration. Hands-on with monitoring and observability tools: Squid, Nagios, Zabbix, Ganglia, etc. Exposure to Agile methodologies and estimation/planning across digital project lifecycles. Bonus / Preferred Qualifications Experience integrating AEM with eCommerce (Magento, Hybris, ElasticPath). Working knowledge of microservices, containerization, and RESTful services. Adobe certifications (e.g., Adobe Certified Expert AEM Developer/Architect). Familiarity with Adobe I/O integrations and Adobe Dynamic Media. Benefits Gender-Neutral Policy 18 Paid Holidays per year Parental Leave and New Parent Transition Program Flexible Work Arrangements Employee Wellness Programs About Publicis Sapient Publicis Sapient is a premier digital transformation partner helping global enterprises redefine their future with technology. With over 20,000 professionals across 53 offices worldwide, we deliver bold digital solutions across strategy, customer experience, data, and engineering.

Job Title: DevOps + Tester Location: Bangalore, India Experience: 4 5 years Industry: IT Services Job Type: Full-time Role Overview This hybrid DevOps + QA role focuses on: Ensuring mobile application performance and reliability. Driving automation, CI/CD, and continuous improvement. Designing and executing automated test scripts and performing integration, regression, and performance testing. Supporting innovation and scalable software deployment in alignment with Rakuten s standards. You ll collaborate closely with development, QA, and operations teams, while improving infrastructure and testing frameworks. Key Skills & Tools CI/CD Tools: Jenkins, Bamboo, Docker Testing: Automation, Integration, Regression, Performance Testing Cloud Platforms: AWS, Azure, GCP Salesforce Ecosystem: 1 2 years hands-on experience preferred API Integration: Including legacy systems Test Scripting Tools: Open-source or commercial frameworks Solid grasp of software architecture, high availability, and transaction-intensive systems Responsibilities Monitor and optimize app performance Develop and maintain automated test scripts Execute integration and regression testing Conduct performance tests during pipeline integration Collaborate across DevOps, development, and QA teams Maintain detailed test documentation Conduct unit tests, code reviews, and QA validations Ensure service quality and customer satisfaction Education & Qualifications Bachelor s degree in CS, IT, Engineering, or related field (required) MBA or advanced degree (preferred) Salesforce Admin or PD certification (preferred) Ideal Candidate Traits Strong DevOps + Testing blend with cloud experience Effective communication with technical and non-technical teams Strategic thinker with planning skills Thrives in fast-paced environments, managing multiple priorities Interview Process 2 Technical Rounds Qualification : Bachelors degree in CS, IT, Engineering, or related field (required)

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: AI/ML Architect Location: Bangalore, India Experience: 15 17 Years Employment Type: Full-Time Overview: We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements. Key Responsibilities: Solution Architecture & Design: Design and evolve robust AI/ML architectures incorporating autonomous agents, scalable business intelligence, and generative AI. Collaborate with cross-functional teams (data scientists, ML engineers, UX designers, and business strategists) to convert business needs into technical designs. Evaluate emerging technologies, frameworks, and trends to guide architectural roadmaps and innovation strategies. RFP Response & Proposal Development: Lead the technical response for RFPs, creating solution frameworks that align with client objectives and industry standards. Draft detailed technical proposals, use cases, and presentations to demonstrate the business value and ROI of AI solutions. Partner with sales and business teams to align proposals with market needs and positioning. Project Delivery & Technical Leadership: Oversee full AI/ML solution lifecycles from architecture design to deployment and monitoring ensuring compliance, quality, and performance. Provide hands-on guidance and mentorship to technical teams, promoting best practices in data science, ML model development, and deployment pipelines. Manage project schedules, resource planning, and risk mitigation for successful delivery outcomes. Stakeholder & Cross-Functional Collaboration: Act as the primary technical liaison across teams, ensuring stakeholder alignment on vision, progress, and technical challenges. Conduct technical workshops, reviews, and solution demos to showcase innovation and architectural decisions. Innovation & Continuous Improvement: Monitor industry trends, publications, and competitor offerings to integrate innovative features into AI/ML initiatives. Continuously refine and optimize existing platforms, ensuring scalability, performance, and user-centricity. Required Skills & Qualifications: 15 17 years of overall experience with 2 3 years in a leadership/project management role. Strong track record in AI/ML architecture, especially with autonomous agent systems, enterprise AI, and generative AI technologies. Proficient in modern AI/ML frameworks (TensorFlow, PyTorch, etc.), data pipelines, and cloud platforms (AWS, Azure, GCP). Experience designing and implementing end-to-end AI solutions in complex, data-driven environments. Demonstrated success in crafting technical proposals and responding to RFPs. In-depth knowledge of NLP, deep learning, traditional ML, and AI product integration. Effective project and stakeholder management skills; able to balance priorities across multiple projects. Excellent communication and presentation skills, with the ability to articulate AI value to technical and non-technical stakeholders.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Senior AI Program Manager Location: Bangalore, India (Rubrik Office) Team: IT AI (Artificial Intelligence) About the Team Rubrik s IT AI team is leading AI-driven transformation across the organization, leveraging data, automation, and cutting-edge tech to support the company's mission of securing the world s data. This team partners across departments to deliver impactful, scalable AI solutions. Role Overview As a Senior AI Program Manager, you will lead the strategic planning, execution, and governance of AI initiatives across Rubrik s global IT operations. You ll collaborate with cross-functional business units and technical teams to deliver innovative, high-value AI solutions that align with Rubrik's business goals. Key Responsibilities Develop & manage a comprehensive AI program roadmap aligned with business goals. Collaborate with stakeholders across functions (Sales, HR, Finance, Legal, Support, etc.) to gather and prioritize AI solution requirements. Quantify ROI of AI initiatives and drive value-based prioritization. Oversee end-to-end AI project lifecycle: ideation, feasibility, development, deployment, adoption, and success measurement. Partner with technical teams: full-stack developers, data engineers, prompt engineers, cloud architects. Ensure compliance with data privacy, cybersecurity, and ethical AI standards. Champion AI adoption, innovation, and best practices across the organization. Maintain clear communication, manage risks, and provide consistent updates to leadership and stakeholders. What You ll Bring 5 8 years of experience in program management (IT/Tech Consulting/Engineering), with 2+ years leading AI-focused initiatives. Familiarity with Large Language Models (LLMs) and related technologies. Experience working alongside technical teams (developers, data engineers, cloud experts). Strong grasp of AI solution delivery using full-stack and cloud-based technologies. Skilled in business case development, ROI analysis, and roadmap execution. Excellent stakeholder communication, cross-functional leadership, and Agile project management skills (Jira, Confluence). Exceptional organizational and problem-solving abilities; comfortable in fast-paced, ambiguous environments. Preferred Qualifications Bachelor s degree in CS, Engineering, IT, or related field. Experience managing AI programs in large tech companies or consulting firms. Awareness of AI regulations and frameworks (e.g., GDPR, NIST, EU AI Act, CCPA). Rubrik (NYSE: RBRK) secures data across cloud, SaaS, and enterprise environments using its Zero Trust Data Security platform. Powered by machine learning, Rubrik helps organizations ensure data integrity, availability, and resilience against modern cyber threats and disruptions. Qualification : BS in Computer Science, Engineering, Information Technology, or a related technical field.

End User Computing Sales Engineer Location: Bengaluru, India Company: Dell Technologies Team: Client Solutions Group Role Overview As a Sales Engineer, you will be a technical advisor to Dell's sales teams, helping define and present Dell's value in End User Computing (EUC) solutions. You'll guide customers through evaluations, proof of concepts, and solution demonstrations, ensuring successful adoption of Dell s client technologies. Key Responsibilities Collaborate with regional sales teams to create effective account plans. Deliver product demonstrations and proof of concept sessions. Help customers evaluate Dell s EUC portfolio (e.g., VDI, cloud clients, desktops, laptops). Provide technical support and best practices guidance. Engage in onsite and virtual customer meetings (some travel involved). Required Experience 4 6 years of experience in IT or technical pre-sales (e.g., systems admin, consulting, integration). Strong knowledge of EUC environments and endpoint deployment. Ability to manage multiple priorities in a dynamic setting. Preferred Skills Experience with virtualization and remote desktop tech: Citrix, VMware Horizon. Familiarity with Microsoft Server OS (2012/2016) and Windows 10. Systems Management and Technical Certifications are a plus. Dell offers a collaborative work environment, cutting-edge technology, and a focus on career growth and meaningful impact. You ll work with some of the best minds in tech, helping global organizations transform how they work and operate.

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

SAP Delivery Manager Location: Bangalore Experience: 10 12 Years Employment Type: Full-time About Fingent At Fingent, we believe technology has the power to transform lives those who use it, build it, and benefit from it. We create software that is elegant, functional, and impactful, helping organizations solve complex challenges. We nurture a culture where talented individuals thrive and grow, bringing the best to themselves, their peers, and their clients. Role Overview We are looking for an experienced SAP Delivery Manager to lead and drive SAP S/4HANA implementation and migration projects. This leadership role requires deep technical expertise, outstanding communication skills, and strong experience managing delivery teams and enterprise clients. Key Responsibilities Lead end-to-end delivery of SAP projects, from scope definition to successful deployment. Provide architectural guidance to align SAP solutions with client business goals. Translate customer needs into technical specifications and functional solutions. Guide and support engineering teams during configuration, development, and deployment. Oversee resource allocation, team onboarding, and performance monitoring. Collaborate with stakeholders and executive teams to ensure transparency and alignment. Facilitate agile ceremonies including sprint planning, reviews, and retrospectives. Ensure high technical integrity and quality standards across SAP solutions. Manage project risks and ensure timely issue resolution. Provide mentorship and structured growth opportunities to team members. Maintain up-to-date documentation, project reports, and executive briefings. Required Skills and Experience 10 12 years of experience in SAP S/4HANA solution consulting, delivery, or systems integration. In-depth knowledge of SAP modules: FICO, MM, PP, SD, PLM, and APO. Strong ABAP development skills and expertise with interface technologies (Web Services, REST APIs, Java connectors). Solid understanding of SAP best practices and security concepts. Proven experience in SAP S/4HANA migration and greenfield/brownfield projects. Experience delivering technical demos and presenting to executive stakeholders. Exceptional communication, leadership, and team management skills. Ability to anticipate project risks and proactively mitigate them. Experience in mentoring, training, and upskilling technical teams. Preferred Traits Strategic thinker with attention to detail and strong problem-solving abilities. Strong interpersonal skills with a collaborative and inclusive mindset. Passion for innovation and continuous improvement.

Senior SAP EAM / PM Consultant Experience: 8+ Years Work Type: Full-time About Fingent At Fingent, we believe that technology can make a meaningful difference to the lives around us. The lives of those who use it, the lives of those who build it and to society at large. We create and provide software which is beautiful, usable and compelling, to solve complex business challenges. We nurture smart people who bring out the best in themselves, their peers, and their clients. Skill Set Requirement: Minimum 8 years of SAP EAM/PM consulting experience with at least 2 full lifecycle implementations. Strong functional knowledge in equipment master, breakdown maintenance, maintenance plans, task lists, notifications, and order management. Experience integrating EAM with SAP MM, FI, and PS. Exposure to S/4HANA EAM is a strong plus. Industry experience in utilities, oil & gas, manufacturing, or transportation preferred. Excellent communication and client-facing skills. SAP Certification in EAM (optional but preferred). Nice to Have: Knowledge of mobile asset management tools (e.g., SAP Asset Manager, Click Field Service, or Maximo). Understanding of predictive maintenance, IoT integrations, and Industry 4.0 trends. Experience in preparing T&M-based SoWs and project estimations. Roles and Responsibilities: Lead end-to-end SAP EAM implementations including requirements gathering, blueprinting, configuration, testing, deployment, and support. Conduct workshops with business users to define asset management processes and map them into SAP. Configure SAP Plant Maintenance (PM) module maintenance planning, notifications, work orders, task lists, equipment, functional locations, breakdown & preventive maintenance. Integrate SAP PM with modules like MM, FI, and PS where applicable. Provide functional expertise during data migration, UAT, go-live and hyper care phases. Document functional specifications for custom developments and enhancements. Deliver user training and prepare training materials as needed. Act as the main POC for onsite coordination with client stakeholders and offshore teams. More Information Experience: 8+ Years

Senior Technical Project Manager Location: Bangalore Experience: 12 15 Years Company: Mphasis Job Summary The Technical Application Delivery Manager is responsible for overseeing the comprehensive delivery of software applications, ensuring alignment with business needs, technical requirements, and best practices. This role requires a combination of technical expertise, project management skills, stakeholder engagement, and leadership abilities to successfully drive application development and deployment across multiple teams. The candidate will collaborate closely with development teams, business analysts, infrastructure engineers, and stakeholders to ensure timely and high-quality delivery of software solutions. Years of Experience Needed 8+ years of experience in IT/application delivery At least 3-5 years in a leadership role Technical Skills Software Development Lifecycle (SDLC): Expertise in Agile, Scrum, and DevOps practices Cloud Technologies: Proficiency in AWS, Azure, or Google Cloud Platform (GCP) DevOps & CI/CD: Knowledge of Jenkins, GitHub Actions, Azure DevOps, Kubernetes, Docker, Terraform Application Architecture: Expertise in microservices, APIs, event-driven architecture, containerization Programming & Scripting: Familiarity with Java, .NET, Python, JavaScript, or other modern languages Database & Data Management: Understanding of SQL/NoSQL databases, data governance, and analytics CRM: Familiarity with Salesforce Project & Delivery Management Skills Experience in Agile project management, Jira, and Agile frameworks (Scrum, SAFe, Kanban) Expertise in budgeting, cost estimation, and financial planning for application development projects Stakeholder communication and executive reporting skills Vendor management and contract negotiation experience Soft Skills Leadership & Team Management: Ability to mentor teams and foster a culture of accountability and innovation Problem-Solving: Strong analytical skills for troubleshooting technical and process-related issues Collaboration: Excellent ability to work across cross-functional teams, including business and IT Decision-Making: Data-driven approach to prioritization and resource allocation Customer-Centric Mindset: Ensuring that applications align with business and user needs Key Responsibilities (KRA Key Result Areas) Project & Application Delivery Management Lead the planning, execution, and delivery of software applications, ensuring adherence to scope, budget, and timeline Define and manage application delivery roadmaps, aligning with business objectives and IT strategy Oversee software development lifecycle (SDLC) processes, including Agile, DevOps, and CI/CD pipelines Ensure effective risk management and mitigation strategies in application development projects Monitor project performance and take corrective actions to resolve issues proactively Stakeholder & Vendor Management Collaborate with business stakeholders to understand application requirements and translate them into technical solutions Serve as the primary contact point between IT teams, business units, and third-party vendors Manage vendor relationships, ensuring SLAs, contracts, and performance standards are met Communicate progress, challenges, and risks to senior management and stakeholders Technical Leadership & Architecture Oversight Work with architects and development teams to ensure scalable, secure, and high-performing application architectures Promote best practices in software engineering, security, and cloud adoption Provide technical guidance on integration, APIs, microservices, and data management Advocate for automation, DevOps, and cloud-native application development Team Management & Agile Coaching Lead and mentor development, QA, and DevOps teams to enhance technical proficiency and delivery efficiency Foster Agile and DevOps methodologies, ensuring collaboration and continuous improvement Conduct performance reviews and cultivate a culture of learning and innovation within the team Security, Compliance & Risk Management Ensure applications comply with cybersecurity policies, data protection regulations, and industry standards Collaborate with security teams to integrate security best practices into the SDLC Manage incident response plans for application-related issues and security breaches Continuous Improvement & Innovation Identify opportunities for process improvements, automation, and optimization in application delivery Stay updated with emerging technologies, frameworks, and trends in application development Drive digital transformation initiatives, including cloud migration and modernization Experience & Qualifications Educational Background: Bachelor s or Master s Degree in Computer Science, Information Technology, Engineering, or a related field Professional Experience: 8+ years of experience in IT/application delivery, with at least 3-5 years in a leadership role Proven experience in managing large-scale enterprise application development and deployment Strong background in cloud platforms (AWS, Azure, GCP) and DevOps methodologies Experience working in regulated industries (finance, healthcare, telecom) is advantageous Certifications Needed Project Management: PMP, PRINCE2, CSM (Certified Scrum Master), SAFe Agile Certification Cloud & DevOps: AWS/Azure/GCP Solutions Architect, Kubernetes, Terraform About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back Transformation approach, leveraging the exponential power of cloud and cognitive technologies. The company s Service Transformation helps enterprises modernize legacy environments, ensuring they stay ahead in a changing world. Equal Opportunity Employer Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regar...

Full Stack Developer - Job Description Experience Required: 4-8 Years Career Level: IC2 Overview: We are looking for a Full Stack Developer with a strong background in Oracle SQL, Java/J2EE, SOAP, and REST web services to join our team. The ideal candidate should have experience in both front-end and back-end technologies and be comfortable working in a collaborative environment. Knowledge of DevOps, Microservices, and cloud technologies is a plus. The developer will contribute to product implementation and support, ensuring the delivery of high-quality solutions that meet business requirements. Technical and Professional Requirements: Back-end Skills: Strong knowledge of Oracle SQL, PL/SQL, and Java/J2EE. Experience with SOAP and REST-based web services. Front-end Skills: Proficient in JavaScript, HTML. Testing and Tools: Familiar with JUnit, JMeter, Eclipse, GIT, Jira, Ant, and Unix Shell scripting. Additional Knowledge: Exposure to OBIEE, BIP. Experience with DevOps, Microservices, Docker, and Kubernetes is an advantage. Middleware and Security: Familiar with application servers like WebLogic, Tomcat, JBoss. Knowledge of middleware concepts (e.g., JMS, MQ, OSB). Understanding of security concepts (e.g., PKI, SSO, SAML). Deployment & Cloud: Good understanding of container deployment and cloud technology. SDLC & Process Knowledge: Experience with SDLC methodologies (Waterfall, Agile). Familiar with Design/Code reviews. Key Responsibilities: Software Development & Delivery: Design, develop, and deliver software solutions. Contribute independently to product implementation and support efforts. Collaboration & Stakeholder Interaction: Work closely with developers, designers, business analysts, and system analysts. Engage with banks and partners for the delivery of Oracle deliverables. Adherence to Oracle Processes: Follow Oracle s internal processes for development and delivery. Innovation & Problem-Solving: Proactively identify and address technical challenges and bottlenecks. UI/UX Design: Assist with the use of tools for storyboarding, UI prototyping, and screen mock-ups. Diversity and Inclusion: At Oracle, we are committed to fostering an inclusive culture that values diversity and promotes innovation. We believe that diverse insights lead to creative solutions and that everyone s voice should be heard and valued. Oracle encourages individuals from all backgrounds to apply, providing reasonable accommodations during the job application and interview process for individuals with disabilities. Employee Benefits: Oracle offers a comprehensive suite of employee benefits, including medical, life insurance, retirement planning, and more. We are committed to providing a balanced work-life environment and giving back to the communities we serve.

Job Description: Senior Software Development Engineer - Oracle Cloud Infrastructure Core Services Development Team Role: Senior Software Development Engineer Team: OCI Virtual Networking Core Services Development Team Location: India Career Level: IC3 Experience: 4+ years Overview: Oracle's Cloud Infrastructure (OCI) is building state-of-the-art infrastructure-as-a-service (IaaS) technologies that operate at high scale across a globally distributed, multi-tenant cloud. The OCI Virtual Networking team is at the heart of this effort, developing distributed, highly available virtual networking services. This team is responsible for foundational cloud services, such as the Virtual Cloud Network (VCN), VPN, Customer Cloud Connectivity, Network Firewalls, and other edge services. As a Senior Software Development Engineer, you will be responsible for designing, developing, and optimizing complex distributed systems that interact with end users and network infrastructure. Your role will involve working on distributed services, developing algorithms for efficient data transfer across networks, and ensuring scalability and reliability within Oracle's cloud environment. You will work closely with a collaborative, agile team of engineers while contributing to building the future of cloud networking services. Key Responsibilities: Software Development & Design: Design, develop, and implement distributed networking services within OCI's Virtual Cloud Network (VCN). Focus on writing clean, maintainable, and optimized code to enhance performance and scalability. Develop and optimize algorithms to ensure efficient data transfer and network operations across the distributed cloud infrastructure. Ensure the performance and scalability of the code, especially when deployed in a cloud environment. Collaboration & Agile Work Environment: Collaborate closely with cross-functional teams in a fast-paced, agile development environment. Participate in the full software development lifecycle, from planning and design to testing and deployment. Work with other team members to ensure the integration of various OCI services, with a focus on automation and scalability. Operational Support & Troubleshooting: Contribute to the operational support of production services, including on-call duties. Troubleshoot and resolve complex issues, ensuring high availability and reliability of networking services. Provide technical leadership and contribute to the continuous improvement of the services. Leadership & Mentorship: Take ownership of parts of the service and its components, leading from design to implementation. Mentor junior engineers and provide technical guidance and support. Share knowledge and contribute to the team s growth through code reviews, knowledge-sharing sessions, and coaching. Technical and Professional Requirements: Programming Expertise: Expert-level experience with Java in developing large-scale, high-performance applications. Experience in concurrent programming and the design of distributed systems. Proficiency in solving complex problems related to scalability, performance, and reliability in cloud environments. Cloud & Distributed Systems: Experience in building and maintaining distributed, scalable services, especially within cloud infrastructures. Strong knowledge of cloud technologies and networking protocols. System Design & Optimization: Solid understanding of system architecture, including how components interact in a distributed, cloud-based system. Ability to optimize code for performance and scalability in production environments. Operational Understanding: Experience in operating production services and providing support during on-call rotations. Understanding of troubleshooting complex system issues, particularly in a distributed cloud environment. Team Collaboration & Communication: Ability to work in a collaborative and agile team environment. Strong verbal and written communication skills for effective coordination across teams. Preferred Qualifications: Experience in Large-Scale Distributed Services: Prior experience in building and scaling distributed services, particularly in cloud or network-related domains. Python Skills: Knowledge of Python for scripting, automation, and solving network-related problems is a plus. Additional Skills: Experience with cloud services, such as VPN, firewalls, network connectivity, and network security. Exposure to containerization technologies such as Docker and orchestration tools like Kubernetes is advantageous. Educational Requirements: Bachelor s or Master s degree in Computer Science, Electrical/Hardware Engineering, or a related field. At Oracle, you will have the opportunity to work on cutting-edge technologies that power cloud networking at a global scale. You will be part of a dynamic and innovative team, contributing to the development of highly scalable and distributed networking services within Oracle's cloud infrastructure. Your expertise will be crucial to driving the evolution of cloud technologies, and you will have a chance to mentor junior engineers while working in a collaborative, fast-paced environment. Qualification : Bachelors or Masters degree in Computer Science, Electrical/Hardware Engineering, or a related field.