Director R D Engineering Jobs in Bengaluru

Director Customer Success & Support Location: Bangalore | Employment Type: Full-Time | Experience: 15+ Years About SecPod SecPod is a leading cybersecurity technology company dedicated to preventing cyberattacks through proactive security. Our core offering, the Saner Platform, helps organizations establish a strong security posture through preventive, automated, and intelligent cybersecurity solutions. Role Summary The Director of Customer Success & Support will own the post-sales customer journey, including onboarding, technical adoption, value realization, and retention. This role requires a technically strong leader with deep experience in cybersecurity or enterprise security SaaS products to lead CSMs, Onboarding Specialists, and Support Engineers. Key Responsibilities Customer Onboarding & Time-to-Value Lead onboarding programs for both Cloud/SaaS and On-Prem deployments. Standardize deployment and configuration procedures for rapid time-to-value. Collaborate with Product and Engineering to enhance the user onboarding experience. Technical Support & Escalation Management Lead Saner Platform Support operations and own critical KPIs: FRT, MTTR, CSAT, and backlog. Oversee Root-Cause Analysis (RCA) and Corrective/Preventive Actions (CAPA). Manage 24x7 support coverage and track feature requests and bugs with Product Management. Customer Success & Value Realization Own customer retention, renewal, and expansion outcomes. Develop success playbooks and adoption frameworks aligned with client security objectives. Conduct Executive Business Reviews (EBRs) and implement proactive churn recovery strategies. Team Leadership Scale and mentor a high-performance organization focused on customer empathy and accountability. Drive continuous upskilling in cybersecurity and SecPod product architecture. Required Experience & Skills Experience: 15+ years in Customer Success or Technical Support for cybersecurity/enterprise SaaS. Technical Proficiency: Strong knowledge of IT infrastructure, endpoint security, and Linux/Unix/Windows/Mac systems. Systems Knowledge: Experience with Zendesk, HubSpot, and Salesforce. Bonus Skills: Scripting (PowerShell/Python) and cybersecurity certifications. Education: BE / MCA or equivalent technical degree. Qualification : BE / MCA or equivalent technical degree

Project Manager Location: Bangalore Department: Management About the Role We are looking for an experienced Project Manager to lead **electric powertrain development projects** through **matrix management**, coordinating a multidisciplinary team. You will oversee the planning, execution, and monitoring of product development activities from initiation through to full product maturity. This role involves close collaboration with R&D and supply chain teams, proactively identifying problems, creating solutions, and implementing efficiency improvements to deliver high-quality electric powertrain products. Key Responsibilities Project Leadership: Lead electric powertrain development projects by managing a **multidisciplinary team**, ensuring alignment across various functions (Mechanical, Electrical, Software/Embedded systems). Planning & Execution: Plan, manage, and monitor project **timelines, scope, budget, quality, and risk management** from initiation to product maturity. Cross-Functional Coordination: Communicate proactively with internal R&D teams and third-party vendors to ensure smooth project execution, efficient resource allocation, and effective problem-solving. Problem-Solving & Solution Implementation: Identify challenges early, develop **creative solutions**, and drive **continuous improvement efforts** to enhance the development process. Project Monitoring: Regularly track and report project progress, ensuring **timely and within-budget delivery**. Team Collaboration: Foster a collaborative environment, motivating and empowering team members to perform at their best, while cultivating a **positive, can-do attitude** across the team. Requirements Educational Background & Experience Education: A B.Sc. in **Mechanical, Electrical Engineering, or Computer Engineering** is a must. Experience: **7+ years of experience in project management** within the automotive industry. Core Expertise Project Management Expertise: Demonstrated experience in managing project **scope, schedule, budget, quality, and risk management**. Cross-Disciplinary Expertise: Familiarity with managing multi-disciplinary systems (Mechanical, Electrical, and Embedded Software) in a product development context. Leadership & Soft Skills Leadership Skills: Exceptional **leadership and communication skills** with the ability to drive, motivate, and manage teams effectively. Creative Problem-Solving: Strong ability to think creatively, solve problems, and implement process improvements efficiently. Team Player: Quick learner, proactive, and positive, with a strong ability to collaborate across teams and stakeholders. Desirable Skills Automotive Industry Knowledge: Prior experience in **electric powertrain development** or related fields within the automotive sector. Risk Management Expertise: Experience identifying potential risks and implementing mitigation strategies throughout the project lifecycle. Vendor Management: Proven track record of managing relationships with third-party vendors, ensuring seamless collaboration and delivery of components. Innovative Work Environment: Work on cutting-edge **electric powertrain technology** and play a crucial role in advancing the future of automotive engineering. Career Growth: Be part of a dynamic, fast-growing company where your contributions will have a direct impact. Collaborative Culture: Join a team that values collaboration, problem-solving, and continuous improvement. Qualification : B.Sc. in Mechanical, Electrical Engineering, or Computer Engineering is a must

Software Development Manager Experience: 8+ Years Location: Bangalore Company: Kaleidofin About Us Kaleidofin is a mission-driven fintech platform committed to delivering financial solutions for underserved communities. Our proprietary ki credit platform combines advanced credit health analytics, middleware integration, risk dashboards, and debt capital structuring empowering financial institutions to serve low-income customers, informal sector businesses, and MSMEs more effectively. Operating across India, Bangladesh, and Kenya, we ve already impacted over 6 million customers, enabling over $3 billion in debt capital for underserved communities. Backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures, Kaleidofin is recognized as a leader in inclusive finance. Featured on Forbes Asia's "100 to Watch" Winner of RBI s Swanari TechSprint 2023 Winner of G20 TechSprint 2024 by BIS Certified as a Great Place to Work Role Overview As a Software Development Manager, you will play a key leadership role in shaping the technical roadmap and executing high-impact fintech products. You ll lead a team of engineers to build scalable, secure, and robust systems. This is a hands-on leadership role requiring active involvement in design, architecture, and code-level decisions. What You ll Do Own the product s engineering roadmap, architecture, scalability, and code quality. Guide system design decisions and lead architecture/code reviews. Collaborate closely with Product and Business teams to align on product strategy and feature development. Provide hands-on technical leadership especially in solving complex problems in fintech and lending domains. Mentor and develop engineering talent; foster a culture of ownership, innovation, and quality. Champion engineering best practices including test automation, CI/CD, and DevOps. Lead the adoption of data-driven practices including Big Data, PySpark, and data pipeline architectures. Balance short-term deliverables with long-term technical sustainability and scalability. Support team growth through career development, learning plans, and succession planning. 8+ years of software development experience, with 1 2+ years in people/team management roles. Strong fundamentals in computer science, system design, and problem-solving. Bachelor's or Master's degree in CS or related field from a top engineering institution (IITs, NITs, etc.). Proven experience building distributed, scalable, and secure systems. Strong hands-on experience with Python, Java, Spring Boot, and microservice architectures. Proficient in SQL/NoSQL, Kafka, CI/CD pipelines, and DevOps tools (Docker, Kubernetes, Jenkins, etc.). Familiarity with AI/ML model integration and credit scoring systems is a strong plus. Experience with data engineering: Big Data, Spark, Airflow, AWS stack (S3, Glue, Athena), etc. Knowledge of front-end and mobile (Android) development is a plus. Experience working in fintech, lending tech, or high-growth startup environments preferred. Excellent leadership, communication, and cross-functional collaboration skills. Be part of a high-impact team driving financial inclusion at scale. Work on cutting-edge technology in fintech and data infrastructure. Grow with a company that s winning global recognition and delivering real-world impact. Contribute to a people-first culture that values learning, innovation, and work-life balance. Qualification : Bachelor's or Master's degree in CS or related field from a top engineering institution

Director Quality Engineering Experience: 15 20 years Location: Bengaluru Team: Engineering About CoinDCX At CoinDCX, we believe Change Starts Together. We are on a mission to make Web3 accessible to all, building cutting-edge products that solve real-world challenges in security, scalability, and user accessibility. In just six years, we ve transformed from India s first crypto unicorn to a platform serving over 125 million users worldwide. As we accelerate Web3 adoption, we are looking for visionary leaders to help us maintain world-class quality and performance standards. Role Overview As Director of Quality Engineering, you will lead and scale our QA and Performance Engineering functions to ensure the reliability, scalability, and security of our fintech products. You ll be responsible for driving the quality strategy across large-scale distributed systems and building a high-performing team passionate about excellence. What You ll Do Leadership & Strategy Lead and grow a team of 50+ QA, automation, and performance engineers. Define and execute a long-term quality engineering strategy aligned with business goals and regulatory requirements. Foster a culture of ownership, accountability, and continuous improvement. Quality Engineering Champion an automation-first approach across functional, regression, and integration testing. Oversee end-to-end validation for core product flows including trading, payments, custody, and compliance. Own testing strategies for microservices architectures and high-throughput APIs. Performance & Scalability Lead performance testing initiatives designed to support systems handling over 1 million TPS with sub-50ms latency. Develop frameworks for continuous performance benchmarking and capacity planning. Collaborate with SRE, DevOps, and Product Engineering to identify and mitigate performance bottlenecks. Non-Functional Testing Ensure comprehensive coverage for reliability, availability, failover, disaster recovery, and security. Drive chaos testing, fault injection, and compliance-related quality assurance processes. Collaboration & Stakeholder Management Partner with Product, Platform, Security, and Compliance teams to align quality standards with regulatory mandates. Provide executive reporting on quality, system resilience, and risk metrics. Influence cross-functional adoption of best practices in testing and release validation. What You Bring Experience 15+ years in QA and Performance Engineering, with at least 5 years in senior leadership roles. Proven experience managing large, high-growth fintech or financial services engineering teams (50+ members). Technical Expertise Deep expertise in testing large-scale distributed systems. Strong knowledge of performance, load, stress, soak, and chaos testing frameworks. Familiarity with cloud-native environments (AWS, Kubernetes), CI/CD pipelines, and observability tools. Domain Knowledge Extensive background in fintech or financial services (trading, payments, banking). Strong understanding of regulatory and compliance requirements in financial applications. Leadership & Soft Skills Exceptional people leadership, mentoring, and organizational scaling capabilities. Excellent stakeholder management with the ability to influence senior engineering and business leaders. Strategic, data-driven decision-making mindset. You re passionate and constantly curious about Web3 and Virtual Digital Assets (VDA). You act with ownership, drive excellence, and focus on measurable impact. You embrace a We over Me philosophy empowering your team as you grow. Change excites you and fuels your innovation mindset. You think beyond limits, challenging the status quo to push boundaries. Perks That Empower You Design Your Own Benefit: Personalize your perks to fit your lifestyle whether it s tech, travel, or pets, your priorities come first. Unlimited Wellness Leaves: Take time off as needed to recharge your health matters most. Mental Wellness Support: Access free counseling, expert sessions, workshops, and social events to stay balanced. Bi-Weekly Learning Sessions: Sharpen your skills and stay current with ongoing industry trends and knowledge. Join Us If you re ready to lead a high-impact team and help build the future of Web3 quality engineering we want to HODL you on our team!

Position Title: Partner Presales Engineer Location: Bangalore Experience: 9 to 16 years Education: BCA / MCA / BE / B.Tech (Preferably in Computer Science or Information Technology) Company: Accops Systems Pvt. Ltd. A leader in secure workspace access and application delivery, specializing in Zero Trust Network Access (ZTNA), desktop virtualization, and remote access solutions. Role Overview: We are looking for an experienced and technically strong Partner Presales Engineer to lead, mentor, and collaborate with both internal presales teams and external partners. This role requires a blend of deep technical expertise, strong communication, team leadership, and customer engagement skills to drive partner enablement and solution positioning. Key Responsibilities: Lead and mentor the Presales team, ensuring alignment with company goals, skill development, and motivation Partner closely with Sales Account Managers to support end-to-end presales activities Conduct detailed product presentations, whiteboarding sessions, and live demos both virtually and onsite Own and drive solution design, sizing, and architecture of Accops and associated third-party solutions Prepare technical documents including: Competitive analysis Architecture documentation Statements of Work (SoW) Support and train partner sales and presales teams on Accops solutions Build and maintain a strong knowledge base including FAQs, best practices, KB articles, and tutorial videos Manage customer expectations, maintain consistent communication, and ensure high satisfaction levels Stay updated with industry trends, emerging technologies, and competitive landscape Collaborate with R&D and Product teams for continuous feedback and product improvements Engage with customers at management and technical levels, articulating both business value and technical depth Provide technical input during RFP/RFI responses and assist in bid management Deliver technical training, solution workshops, and partner onboarding sessions Technical Skills & Knowledge: Strong foundation in Windows and Linux operating systems In-depth knowledge of networking concepts: DNS, DHCP, routing, VPNs, Active Directory, SAML, SSL, HTTPS, etc. Experience with security solutions: Firewalls, ZTNA, CASB, SASE, MFA, Identity Federation Expertise in at least one Desktop Virtualization platform: Citrix, VMware Horizon, WVD, MS RDP, etc. Familiarity with cloud platforms like Azure and AWS is a plus Knowledge of solution architecture, capacity planning, and system integration Exposure to licensing models (e.g., Windows Server, RDS CALs) Prior experience in presales roles within startups is highly desirable Behavioral Competencies: Strong communication skills (verbal and written) Demonstrated leadership abilities and team management experience Analytical thinker with a logical approach to problem-solving High degree of accountability, initiative, and ownership Flexible and adaptable to changing priorities Customer-focused with the ability to build strong business relationships Nice to Have: Prior experience working with Accops products Experience in VDI, VPN, MFA, MDM, cloud security solutions Exposure to customer interactions at the executive level Qualification : BCA / MCA / BE / B.Tech (Preferably in Computer Science or Information Technology)

Position: IT Support Engineer Location: Bangalore Experience Required: 3 5 years Department: IT & Infrastructure About Muthoot FinCorp ONE Muthoot FinCorp ONE is a fintech venture from Muthoot FinCorp Ltd., building a comprehensive digital financial ecosystem offering services across lending, investments, protection, and remittance. With a vision to become India s most trusted digital financial services provider, we blend a startup's agility with the legacy strength of the Muthoot Pappachan Group. Our platform focuses on delivering seamless, scalable, and user-friendly financial solutions, backed by robust technology and innovation. What You ll Do Key Responsibilities As an IT Support Engineer, you will be a critical part of our technology operations team, ensuring smooth IT functionality, end-user support, asset management, and continuous process improvement. End-User Technical Support Resolve technical issues related to hardware, software, systems, and networks. Provide timely and professional IT support to internal users across devices and platforms. Manage and resolve IT helpdesk tickets with proper documentation and follow-ups. IT Asset & Inventory Management Maintain an accurate inventory of IT hardware and software assets. Ensure timely updates, maintenance, and tracking of all IT assets across teams. Documentation & Knowledge Management Document recurring issues and resolutions to build a central knowledge repository. Maintain technical documentation for internal systems, network diagrams, SOPs, and processes. Track and log all IT tasks, issues resolved, and support interactions. Collaboration & Cross-Functional Support Work with engineering, product, and business teams to troubleshoot issues and implement tech solutions. Actively participate in project implementations and cross-functional technical initiatives. Continuous Learning & Team Development Proactively identify areas for personal and team improvement. Share knowledge, conduct peer training, and mentor junior staff when required. Attend trainings, write technical blogs, or suggest process improvements for efficiency. What We re Looking For Skills & Qualifications Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 3 to 5 years of experience in IT support, infrastructure, or end-user services. Technical Skills: Strong knowledge of Windows/Mac OS, system troubleshooting, and networking fundamentals. Proficient in Microsoft Office Suite, ITSM tools, ticketing systems, and remote support tools. Basic understanding of ITIL practices is a plus. Soft Skills: Excellent problem-solving and communication skills (both written and verbal). Detail-oriented with excellent documentation and follow-up discipline. Strong customer service mindset with an ability to work independently and collaboratively. Comfortable working in a fast-paced, startup-like environment. Impact at Scale Contribute to building India s next big fintech story Startup Culture + Legacy Backing Best of both worlds High-Growth Opportunity Learn from senior industry leaders and drive your career forward Ownership & Autonomy Make decisions, solve real problems, and take initiative Team of A-Players Work alongside passionate, high-performing professionals If you re passionate about IT support, love solving real-world tech issues, and want to be part of a purpose-driven digital finance revolution we d love to hear from you. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field

Job Title: Director of QA Location: Bangalore Department: Quality Engineering Employee Type: Full-time Experience Required: 14 18 years Position Overview We are seeking an accomplished and visionary Director of Quality Assurance (QA) to lead our QA organization and ensure the delivery of world-class products. This leadership role requires deep expertise in quality engineering, strong technical acumen, and a strategic mindset. You will be responsible for defining the overall QA strategy, scaling high-performing teams, and implementing modern testing frameworks and methodologies that align with business and product objectives. This is a high-impact role, collaborating cross-functionally to champion a culture of quality across the organization. Key Responsibilities Strategic Leadership Define and execute a comprehensive QA vision and strategy aligned with the company's product development goals. Evolve QA methodologies and processes by integrating Agile, DevOps, and shift-left principles. Stay ahead of QA industry trends and innovations to drive continuous improvement and efficiency. Team Leadership & Development Recruit, build, and mentor a world-class QA team including managers, leads, and engineers. Foster a culture of ownership, collaboration, and continuous learning. Conduct regular performance reviews and support career development through coaching and training. Promote a "quality-first" mindset across all engineering and product teams. Quality Assurance & Testing Oversee planning and execution of all QA activities including functional, non-functional (performance, security, usability), automation, and regression testing. Lead the implementation and scaling of test automation frameworks to improve speed, coverage, and reliability. Manage defect tracking and resolution processes, ensuring root cause analysis and timely resolution. Define, track, and report on key quality metrics such as defect density, test coverage, automation ROI, and overall product health. Collaboration & Communication Partner with Product, Engineering, DevOps, and Business teams to embed quality early in the product lifecycle. Clearly communicate QA strategies, risk assessments, and progress updates to executive leadership and cross-functional stakeholders. Act as a quality evangelist across the organization, promoting best practices and shared accountability for quality. Process Optimization Identify inefficiencies and quality bottlenecks across the Software Development Lifecycle (SDLC). Champion continuous improvement initiatives to reduce time-to-market without compromising on quality. Advocate for shift-left testing approaches, integrating QA earlier in development workflows. Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in Quality Assurance, including at least 7+ years in senior leadership roles (e.g., QA Manager, Senior Manager, or Director). Proven track record in building and scaling high-performing QA teams in product-driven environments. In-depth knowledge of testing methodologies (Agile, Waterfall, DevOps) and various testing types (functional, performance, security, usability). Strong experience with test automation tools and frameworks (e.g., Selenium, JMeter, Postman). Hands-on experience with CI/CD pipelines, quality gates, and DevOps practices. Strong analytical, problem-solving, and strategic decision-making abilities. Exceptional interpersonal, verbal, and written communication skills. Ability to thrive in a fast-paced, dynamic, and cross-functional environment. Preferred Qualifications Experience working in Fintech or regulated product-based environments. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). This role offers a unique opportunity to shape and lead the quality vision of a cutting-edge organization. If you're passionate about software quality, innovation, and leading teams to excellence, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related technical field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Head of Engineering India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko: Serko is a cutting-edge technology platform revolutionizing global business travel and expense management. We are a passionate team of travelers and technologists connecting people through the world s leading business travel marketplace. As an equal opportunity employer, we embrace diversity and authenticity to create meaningful impact globally. With offices across New Zealand, Australia, North America, China, and now Bengaluru, India, we are rapidly expanding our footprint. Role Overview: We are seeking a visionary Head of Engineering to lead and scale our engineering organization in India. This leadership role bridges technical execution and business strategy, ensuring that engineering teams deliver impactful, scalable solutions aligned with company goals. You will mentor senior engineering leaders, foster a culture of innovation, and guide architectural and operational excellence. Key Responsibilities: Define and champion the long-term technical vision aligned with Serko s strategic goals while encouraging innovation and adoption of emerging technologies. Mentor and empower Senior Engineering Managers and Principal Engineers to lead effectively and drive technical and organizational execution. Facilitate cross-functional collaboration with Product, Design, Operations, and executive teams by aligning priorities and simplifying complex technical strategies. Translate strategy into actionable outcomes by setting clear OKRs and KPIs focused on team performance, delivery reliability, and engineering excellence. Oversee architecture decisions for critical systems, balancing innovation, technical sustainability, and business value. Drive continuous improvement in engineering practices, including Agile workflows, code reviews, and CI/CD processes to boost productivity and quality. Manage budgets and resource allocation thoughtfully to ensure teams have what they need to succeed while maintaining fiscal responsibility. Cultivate a thriving, inclusive engineering culture that supports career growth, diversity, and global collaboration. What You ll Bring: Proven leadership experience managing engineering teams of various sizes, especially in high-growth or product-driven environments. Strong strategic acumen with the ability to align technical efforts with business objectives through pragmatic decision-making. Collaborative mindset with a track record of building trusted partnerships across Product, Design, Operations, and other functions. Operational expertise in Agile delivery, continuous improvement, and data-driven engineering process enhancements. Excellent communication skills to translate complex technical ideas into clear, actionable priorities for diverse audiences. Passion for building inclusive, engaged, and high-performing teams, including experience designing organizational structures and career paths across geographies. Benefits: Competitive base salary. Comprehensive medical benefits. Discretionary incentive plan based on individual and company performance. Access to learning and development platforms with ownership of career growth. Flexible work policies supporting work-life balance. A supportive environment with modern tools to empower your best work.

Engineering Manager Active Directory Location: Bangalore, India About the Team The Active Directory team is part of Rubrik s Enterprise Data Protection (EDP) organization. They develop data protection solutions specifically for Active Directory, including backup, restore, and integration of AD as an Identity Provider within Rubrik s security platform. About the Role Rubrik is seeking an experienced Engineering Manager to lead the Active Directory development team. This role focuses on guiding the design and delivery of AD data protection solutions, scaling the team, and driving innovation. The ideal candidate combines strong software development expertise especially with Active Directory and identity technologies with proven leadership skills. What You ll Do Team Leadership: Mentor and lead developers and engineers, foster innovation, collaboration, and technical excellence. Development Lifecycle: Manage sprint planning, code reviews, and adherence to standards; prioritize workload and resource allocation. Software Development: Oversee design, development, and testing of Active Directory data protection solutions and integrations with Rubrik s security platform. Customer & Growth Management: Engage with customers to support adoption and scale the team accordingly. Strategic Planning: Collaborate on roadmap definition with product managers and architects aligned to business goals. Operational Excellence: Provide technical leadership on escalations, maintain system health, and minimize regressions. Documentation & Collaboration: Develop thorough documentation and work closely with engineering, security, infrastructure teams, and stakeholders. Communication: Effectively communicate project status, risks, and technical details to diverse audiences, including senior leadership. Experience & Qualifications Education & Experience: Bachelor s or Master s degree in Computer Science, Software Engineering, IT, or related field. 8-10 years in software development and IT, with at least 2-3 years in technical leadership or engineering management roles. Technical Expertise: Strong skills in distributed systems and data storage. Solid knowledge of Windows Server OS and Active Directory (AD/Entra-ID) concepts. Experience with Microsoft Windows ecosystem preferred. Understanding of Identity and Access Management (IAM) concepts; familiarity with IAM services like Okta or AWS IAM is a plus. Knowledge of identity security (users, groups, roles, NHI) is advantageous. Leadership & Management: Proven ability to lead, mentor, and develop software engineering teams. Strong grasp of software development methodologies and project management. Experience collaborating with customers, sales, and support teams. Excellent organizational, communication, interpersonal, and presentation skills. Rubrik is on a mission to secure the world s data with Zero Trust Data Security . We empower organizations to defend against cyber threats and ensure data resilience through innovative cloud and SaaS security technologies. Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, IT, or related field.

Technical Program Manager Location: Bangalore, India About the Team The Technical Program Management (TPM) team drives planning, management, and execution of major technical programs for Rubrik s Engineering organization across a broad portfolio of cloud data management products. The team skillfully balances multiple, often conflicting priorities to deliver high-quality products through strategic communication, business insight, and collaborative influence. About the Role Rubrik is seeking an experienced Technical Program Manager to join the Engineering Program Management organization in Bangalore. Reporting to the Director of TPM, you will lead complex, cross-functional programs in a fast-paced environment. Your focus will be on maintaining project momentum, removing obstacles, managing risks, and ensuring timely delivery of features and products with a high standard of quality. What You ll Do Plan, manage, and execute multiple major technical programs annually for the Engineering organization. Collaborate closely with Engineering, Product Leadership, Customer Support, and other teams to prioritize and deliver new product features. Lead cross-functional teams, running coordination meetings such as scrum of scrums, managing feature prioritization, milestone tracking, risk mitigation, and escalations. Oversee product release management including metrics, processes, and beta programs. Drive continuous process improvements to enable predictable and consistent execution. Define program success metrics and track progress throughout the product development lifecycle. Manage competing priorities using logical problem-solving, effective communication, and influence without direct authority. Experience & Qualifications Bachelor s degree or higher in engineering or a related technical field. 3+ years of experience in engineering program or project management. Proven success leading large projects or initiatives in complex, fast-moving environments. Strong understanding of Agile methodologies and experience working closely with cross-functional teams to deliver quality products on time. Familiarity with product development lifecycle, software release processes, metrics, and tools. Detail-oriented with strong problem-solving skills to prioritize and mitigate risks. Excellent verbal and written communication skills. Preferred Experience Experience with release management in SaaS and on-premises environments is a plus. About Rubrik Rubrik is on a mission to secure the world s data with its Zero Trust Data Security platform. Leveraging machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and resilience against cyber threats and operational disruptions. Qualification : Bachelors degree or higher in engineering or a related technical field.

Senior Product Manager Talent Management Location: Bangalore, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing how individuals connect with the right career opportunities. Using deep-learning AI, our Talent Intelligence Platform helps companies hire, retain, and grow a diverse workforce by focusing on skills and potential not just r sum s or networks. Backed by over $410M in funding and a $2B+ valuation, we are solving one of society s most pressing challenges employment. Join us on our mission to enable the right career for everyone in the world. The Opportunity We are looking for a Senior Product Manager to own and shape the vision, strategy, and roadmap for our Talent Management solutions. You will collaborate with internal teams and customers to build AI-powered products that empower companies to develop and retain their workforce more effectively. What You ll Do Own Product Strategy & Roadmap: Define and execute the product roadmap for Talent Management applications on the Eightfold platform. Drive Cross-Functional Alignment: Collaborate with engineering, design, sales, marketing, and customer success teams to ensure seamless product delivery. Engage with Customers & Stakeholders: Gather insights from enterprise clients, developers, and internal stakeholders to guide product decisions and prioritize features. Analyze Market & Competition: Monitor trends in talent management, workforce development, and HR tech to ensure product differentiation and innovation. Leverage AI: Integrate Eightfold s core AI capabilities to deliver intelligent, personalized talent solutions. Champion Product Excellence: Use data to measure impact, refine product direction, and ensure high-quality delivery and adoption. 5+ years of experience in Product Management, ideally in enterprise SaaS, HR tech, or workforce solutions. A strong technical foundation and ability to work closely with engineering teams on architecture, APIs, and data models. Experience launching and scaling complex B2B products. Proven success in developing and executing product strategies in fast-paced environments. Excellent communication and stakeholder management skills. Passion for Eightfold s mission of transforming the future of work through AI. Preferred Qualifications Background in HR Tech, Talent Management, or Enterprise Software. Familiarity with platforms serving large enterprise clients. Data-driven mindset with experience using analytics to guide product decisions. Why You ll Love Working Here Purpose-Driven Mission: Help build a world where everyone finds the right career opportunity. Equity Ownership: Be a true stakeholder in Eightfold s success. Comprehensive Benefits: Competitive salary, stock options, medical, dental, and vision coverage for you and your family. Hybrid Flexibility: Work from our Bangalore office 2 3 days per week while enjoying flexibility for remote days. Growth Culture: A collaborative, learning-oriented environment with top-tier leadership and global impact. Equal Opportunity Employer Eightfold.ai is proud to be an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences. Apply Now If you re ready to help shape the future of talent and employment through cutting-edge AI, we d love to hear from you. Qualification : Background in HR Tech, Talent Management, or Enterprise Software.

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

Director, Engineering Location: Bangalore, India Full Time Company: Meta Meta is seeking an experienced Engineering Director to lead and build our engineering team in India. This is a unique opportunity to help shape the future of Meta s engineering presence in the region, driving technical decision-making, collaboration, and execution to create high-quality enterprise software systems. As an Engineering Director, you will influence the technical direction, prioritize key initiatives, and lead a high-performing engineering team in a fast-paced, impact-focused environment. You ll have the opportunity to shape Meta s engineering strategy, recruit founding engineering teams, and ensure the successful delivery of complex enterprise systems. Key Responsibilities: Lead and execute strategies for delivering enterprise systems across various domains. Identify and seize new opportunities for growth and innovation within the organization. Drive the long-term technical vision and roadmap for large, enterprise-wide initiatives. Collaborate with cross-functional teams and influence key decisions for optimal outcomes. Manage teams delivering multiple high-impact projects in ambiguous or complex environments. Set clear goals, measure team impact, and drive engineering excellence. Build, lead, and nurture engineering teams to deliver on increasingly complex and interdependent projects. Minimum Qualifications: Bachelor s degree in Computer Science, Engineering, Applied Sciences, or a related field. 10+ years of progressive experience in software engineering, including at least 5 years of leadership experience. Proven expertise in coding in at least one of the following languages: C++, Java, Python, JavaScript, or PHP. Extensive experience in building large-scale enterprise software systems from the ground up. Proven track record of managing technical teams and serving as a technical lead. Experience in designing and developing distributed systems. Deep knowledge in enterprise systems across Finance, Supply Chain, or HR. Experience in defining software projects and making data-driven decisions. Preferred Qualifications: Experience setting up and leading an engineering office or team. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is pushing beyond 2D screens toward immersive experiences in augmented and virtual reality to help create the next evolution in social technology. Join Meta and help shape a future where digital connection goes beyond the constraints of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics. Qualification : Bachelors degree in Computer Science, Engineering, Applied Sciences, or a related field.

Job Title: Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud) Job Summary As a Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team and work with the product team as an advocate of your customers in the field. You will help our customers achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field while finding solutions to our customers' biggest challenges in big data, analytics, data engineering, and data science problems. You will report to the Solutions Architect (SA) Manager. The Impact You Will Have You will be a Big Data Analytics expert on aspects of architecture and design. Engage with the technical community by leading presentations, workshops, seminars, and meet-ups. Lead your clients through evaluating and adopting Databricks, including hands-on Spark programming and integration with the wider cloud ecosystem. Support your customers by authoring reference architectures, how-tos, and demo applications. Integrate Databricks with 3rd-party applications to support customer architectures. Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value. What We Look For Consulting, pre-sales, or post-sales experience working with external clients across a variety of industry markets. Core strength in either data engineering or data science is advantageous. 5+ years of experience demonstrating technical concepts, including presenting and white-boarding. 4+ years of experience designing architectures within a public cloud (AWS, Azure, or GCP). 4+ years of experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. Solid coding experience in Python, R, Java, Spark, or Scala. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.

Principal Architect Identity Management Experience: 14+ Years Education: Bachelor s Degree in Engineering (or equivalent) About Saviynt Saviynt is an identity authority platform that empowers organizations to secure and manage digital access while enabling innovation. As businesses navigate digital transformation and increasing cyber risks, Saviynt s Enterprise Identity Cloud provides unparalleled visibility, control, and intelligence to protect users while ensuring seamless access to essential tools and technologies. Role Overview As a Principal Architect Identity Management, you will be responsible for designing, deploying, configuring, and implementing Saviynt s leading Identity Governance (IGA) solutions based on customer requirements. You will provide technical leadership, consulting expertise, and industry best practices to ensure seamless solution deployment while mentoring junior engineers. Key Responsibilities Strategic Leadership & Solution Architecture Provide thought leadership on IGA solutions, with a specific focus on Saviynt s technology. Develop best-in-class solutions that align with customer functional and non-functional requirements. Serve as a trusted advisor to customers, offering consulting expertise and strategic guidance. Deployment & Implementation Architect, design, and deploy Saviynt s Identity Governance solutions. Lead implementation and integration of Saviynt with critical applications and infrastructure. Ensure compliance with approved lifecycle methodologies, documentation standards, and testing protocols. Troubleshoot and resolve technical issues through debugging, research, and investigation. Collaboration & Technical Oversight Engage directly with customers, ensuring their success through expert guidance. Provide technical oversight and mentorship to mid-level and junior engineers. Train and develop top talent to become Saviynt technology experts. Collaborate with operations and product engineering teams to advocate for new features. Pre-Sales & Business Development Support Offer technical pre-sales support for direct and partner sales teams. Provide real-world expertise in creating solutions, proof of concepts, and implementations. Conduct competitive research to address and dispel customer objections effectively. Contribute to RFP responses and proposals as needed. Process Improvement & Compliance Ensure high-quality solution delivery within the defined timeline and budget. Stay updated with industry best practices, standards, and cybersecurity trends. Adhere to Saviynt s security & privacy policies (Data Classification, Access Control, Incident Response, etc.). What You Bring 14+ years of experience in Identity Governance & Access Management (IGA/IAM). Expertise in User Lifecycle Management, Provisioning, Reconciliation, Access Certification, SOD, and Cloud Security. Strong knowledge of Java/J2EE, SQL, REST/SOAP Web Services, and Directory Services. Experience in solution architecture, customization, and deployment of Identity Management products. Hands-on experience in direct customer interaction, consulting, and advisory roles. Strong technical presentation and communication skills. Proven problem-solving and analytical skills. Experience in pre-sales, RFP responses, and proposal writing. Preferred (Good to Have): Cybersecurity certifications: CISSP, CISA, CISM, CompTIA Security+, CEH, etc. Saviynt or equivalent IGA product certification. High-growth, Platform-as-a-Service (PaaS) company revolutionizing identity security. Tremendous learning opportunities through challenging yet rewarding projects. Collaborative & inclusive work environment where your impact is valued. Work with some of the world s leading enterprises on cutting-edge IAM solutions. Saviynt is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, disability, or veteran status. If you're an experienced IAM Architect with a passion for customer success and innovation, we d love to hear from you! Qualification : Bachelors Degree in Engineering (or equivalent)

Senior Data Scientist Experience: 1-4 Years | Location: Bengaluru About Gameskraft: Founded in 2017, Gameskraft has rapidly become one of India s fastest-growing online gaming companies. Our mission is to build a safe, secure, and responsible gaming ecosystem while delivering unmatched experiences through cutting-edge technology and design. We are the only gaming company in the industry with ISO 27001 and ISO 9001 certifications. About the Role: As a Senior Data Scientist, you will play a key role in driving data-driven decision-making by developing and implementing advanced analytics and machine learning solutions. You will work on high-impact projects across different business units, collaborating with stakeholders to optimize business performance and user experience. Key Responsibilities: Data Strategy & Governance: Develop and execute a data strategy aligned with business goals. Identify and prioritize high-value data science opportunities. Ensure data accuracy, integrity, and governance by working with data engineering teams. Advanced Analytics & Machine Learning: Design, develop, and deploy machine learning models for regression, classification, clustering, and time-series forecasting. Stay updated with state-of-the-art algorithms and implement innovative solutions. Optimize data pipelines and model performance for scalable deployment. Collaboration & Innovation: Work closely with business leaders, product teams, and IT to integrate data science solutions into business processes. Foster a culture of innovation by exploring emerging technologies and methodologies. Translate complex technical concepts into actionable business insights for non-technical stakeholders. Performance Monitoring & Reporting: Define and track KPIs to measure the impact of data science initiatives. Continuously optimize models for improved accuracy and efficiency. Present insights and recommendations to senior management. What You Bring to the Table: Education: Master s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field. Experience: 2-4 years of hands-on experience in building and deploying data science solutions. Proven expertise in machine learning, statistical modeling, and analytics. Experience working with large-scale datasets and high-performance computing frameworks. Technical Skills: Proficiency in Python and libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, Matplotlib. Experience with Big Data technologies (Hadoop, Spark, distributed computing frameworks). Familiarity with Cloud Platforms (AWS, Azure, GCP) and services like S3, Redshift, Databricks. Deep learning expertise is a plus. Soft Skills & Leadership: Strong communication and stakeholder management skills. Ability to simplify complex data science concepts for non-technical audiences. A proactive problem-solver and team player. Why Join Us? Work on cutting-edge AI & ML projects in one of India s fastest-growing tech companies. Collaborate with top industry leaders and work in a fast-paced, dynamic environment. Competitive compensation and growth opportunities. A diverse, inclusive, and innovation-driven work culture. If you re passionate about AI, Data Science, and driving real-world impact, we d love to hear from you! Qualification : Masters or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field.

About Ansys For over 50 years, Ansys has been at the forefront of innovation, enabling companies across industries to push boundaries through the predictive power of simulation. From sustainable transportation to life-saving medical devices, our solutions help bridge the gap between design and reality. At Ansys, we empower our employees to turn visionary ideas into reality. Join us and shape the future of simulation technology! Role Overview As a Senior R&D Engineer, you will join the SeaScape Research and Development team, working on cutting-edge semiconductor analysis software. You will contribute to the development of ANSYS RedHawk-SC, the industry s first EDA solution built on the SeaScape Elastic Compute Architecture, designed to handle massive datasets and distributed computing. This role requires strong C++ programming skills, problem-solving abilities, and a solid foundation in semiconductor design. Key Responsibilities Software Development & Optimization Design, develop, and optimize high-performance software for semiconductor analysis. Write efficient, scalable, maintainable, and robust code in C++. Implement unit, regression, and system-level tests to ensure high-quality code. Diagnose and fix complex software issues. Collaboration & Process Adherence Work closely with technical leads, engineers, and managers to refine and improve solutions. Learn and follow best practices in software engineering and semiconductor design. Communicate effectively within the team to ensure smooth collaboration. EDA & Semiconductor Analysis Develop expertise in IC Layout specification formats (Oasis, GDS). Work on parasitic extraction, gate/transistor-level design, and power analysis. Optimize EDA software for large-scale simulations and distributed computing. Required Qualifications & Skills Education & Experience: Bachelor s or Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field. 4-6 years of experience in a product-based company. Technical Expertise: Proficiency in C++ for high-performance computing. Strong knowledge of data structures, algorithms, and debugging. Experience working with Linux operating systems. Basic understanding of IC layout specifications (Oasis, GDS). Familiarity with gate-level and transistor-level electronic design. Soft Skills: Ability to learn quickly and work in a fast-paced environment. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications (Nice to Have) EDA & Semiconductor Analysis: Experience with parasitic extraction for advanced semiconductor nodes. Knowledge of transistor-level simulation and gate-level power analysis. Familiarity with IC physical design and RTL optimization. High-Performance Computing & Distributed Processing: Experience with distributed processing, debugging, and optimization. Knowledge of AI/ML, GPU architectures, CUDA, and vectorization libraries (Google Highway). Experience with high-bandwidth networking (InfiniBand). Software Development & Automation: Experience in commercial software development, build automation, and testing. Work on Industry-Leading Technology Build next-gen EDA and semiconductor simulation software. Career Growth Be part of an innovative, research-driven environment. Collaborate & Innovate Work alongside industry experts in high-performance computing & semiconductor analysis. Inclusive & Diverse Culture We believe diverse thinking leads to better outcomes. At Ansys, we commit to excellence, integrity, and innovation Together, we power the future of simulation. Apply Now & Be a Part of Ansys' Innovation Journey!

About DevRev DevRev s AgentOS is a purpose-built CRM platform for SaaS companies, integrating three modern apps for support, product, and growth teams. By converging six teams and replacing nine business apps, we streamline workflows for end users, sellers, support, product teams, and developers. Unlike traditional CRMs, DevRev offers a blank canvas approach to collaboration, AI-driven analytics, and automation, helping SaaS companies increase product velocity and reduce customer churn. Thousands of companies rely on DevRev for low-latency analytics and customizable LLMs in the era of Generative AI. Headquartered in Palo Alto, California, with offices in seven global locations, DevRev has raised $100 million from Khosla Ventures and Mayfield, reaching a $1.1 billion valuation. Founded in 2020 by Dheeraj Pandey (co-founder and former CEO of Nutanix) and Manoj Agarwal (former SVP of Engineering at Nutanix), DevRev is honored to be named on Forbes 2024 list of America s Best Startup Employers. About the Role: Applied AI Engineer The Applied AI Engineering team plays a crucial role in ensuring customers maximize their DevRev experience. As businesses integrate DevRev into their enterprise systems, workflows, and automation, our team collaborates closely with customers to design, develop, and implement tailored AI-powered solutions. Your mission is to bridge the gap between customer needs and technical solutions, ensuring seamless adoption and delivering high-impact AI applications that enhance the DevRev platform. Responsibilities Design, develop, and implement integrations, automations, and customizations to integrate DevRev with customers existing tech stacks and workflows. Leverage AI and Generative AI techniques (e.g., prompt engineering, LLM fine-tuning) to create cutting-edge AI-powered agent experiences. Optimize semantic search engines for improved accuracy and relevance. Conduct data analysis, write SQL queries, and build dashboards to provide insights and inform business decisions. Act as a technical consultant, guiding customers through critical workflows, including integrations with code repositories and enterprise tools. Maintain proactive communication and feedback loops with key stakeholders, including Customers, Engineering, Product, Customer Success, Support, Revenue, and Marketing teams. Continuously learn new technologies and apply them to enhance customer solutions. Ideal Candidate Qualifications Degree in Software Engineering, Computer Science, or equivalent experience. 1-2+ years of hands-on coding experience with TypeScript, JavaScript, Python, APIs, Webhooks, and SQL. Familiarity with Generative AI, including GPT-4, prompt engineering, and fine-tuning. Knowledge of vector databases and data embeddings. Strong communication skills (written and verbal in English). Results-driven mindset, with a passion for problem-solving and innovation. Ability to work independently, take initiative, and drive projects to completion. DevRev Culture At DevRev, we are committed to hiring individuals who are hungry, humble, honest, and act with heart. Our vision is to help build the world s most customer-centric companies, and our mission is to empower engineers to embrace their customers through design, data engineering, and machine intelligence. We seek individuals who thrive in a fast-paced, high-energy environment and are passionate about pushing the boundaries of AI and automation. If you re excited about building AI-driven solutions, working with cutting-edge technologies, and shaping the future of SaaS and CRM, we d love to hear from you! Qualification : Degree in Software Engineering, Computer Science, or equivalent experience.