To get the best candidate experience please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts Job Category Software Engineering Job Details About Salesforce Salesforce is the 1 AI CRM where humans with agents drive customer success together Here ambition meets action Tech meets trust And innovation isn t a buzzword it s a way of life The world of work as we know it is changing and we re looking for Trailblazers who are passionate about bettering business and the world through AI driving innovation and keeping Salesforce s core values at the heart of it all Ready to level-up your career at the company leading workforce transformation in the agentic era You re in the right place Agentforce is the future of AI and you are the future of Salesforce Our Security Software Engineering team builds and operates highly scalable fault-tolerant distributed systems to deliver cloud-scale security software services We provide the fundamental building blocks to improve and preserve customer trust in Salesforce s products across multiple public cloud substrates and our own network infrastructure We architect and implement our services to protect Salesforce products infrastructure and defend against malicious attacks We are looking for a talented and experienced engineer to advance our detection platform capabilities to detect known and unknown threats in real time by harnessing signals embedded within system and user generated logs With a strong background in software engineering and MLOps practices you will play a key role in building and operating detection platforms that employ both machine learning and rule-based approaches for detecting and mitigating security threats and risks Responsibilities Design implement test and deliver highly scalable services frameworks and tools Work closely with cross functional team members to build features for the detection platform Develop deep technical understanding and take ownership of the selected areas and technologies Continuously raise standard of engineering excellence by implementing best practices for development testing and deployment Operate optimally in the hybrid engineering model where engineers are expected to be able to design and execute the vital work to ensure quality in their own code as well as other engineers Assist in technical authority vision documentation of operational procedures and guidance to ensure the continued evolution of the platform Operate in an Agile environment and participate in all phases of software development Required Skills Experience Education Bachelor or Master s degree in Computer Sciences or equivalent field Industry Experience 5 for SMTS 2 for MTS years including Experience in designing implementing and operating large scale distributed systems in public cloud environments AWS GCP or Azure Experience with Containers and orchestration technologies e g Docker Kubernetes Familiarity with DevOps practices CI CD tools Configuration management and Infrastructure as a code IaC Programming Proficiency in object-oriented and multi-threaded programming in Java and or Python Software Design Demonstrable understanding of design patterns distributed systems data structures and algorithms Operating System Development and software management on Linux e g CentOS RHEL and Windows Agile Experience with Agile development methodology Communication Excellent oral and written communication skills Team Work as a team player and value team success beyond personal contributions Strong debugging and troubleshooting skills Desired Skills Experience MLOps Experience with MLOps or deploying machine learning models in production and familiarity with machine learning frameworks like Kubeflow MLFlow Airflow etc and libraries e g TensorFlow PyTorch scikit-learn Security Strong fundamentals knowledge in security concepts authentication authorization frameworks e g SSO SAML Oauth secure transport e g SSL TLS identity management e g certificates PKI Platform development Proven track of designing and coding large-scale PaaS or IaaS systems Big Data Proficiency and experience with relational and NoSQL databases message queues Kafka SNS SQS etc Splunk and other components in data pipelines Unleash Your Potential When you join Salesforce you ll be limitless in all areas of your life Our advantages and resources support you to find balance and be your best and our AI agents accelerate your impact so you can do your best Together we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love Apply today to not only shape the future but to redefine what s possible for yourself for AI and the world Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment What does that mean exactly It means that at Salesforce we believe in equality for all And we believe we can lead the path to equality in part by creating a workplace that s inclusive and free from discrimination Any employee or potential employee will be assessed on the basis of merit competence and qualifications - without regard to race religion color national origin sex sexual orientation gender expression or identity transgender status age disability veteran or marital status political viewpoint or other classifications protected by law This policy applies to current and prospective employees no matter where they are in their Salesforce employment journey It also applies to recruiting hiring job assignment compensation promotion benefits training assessment of job performance discipline termination and everything in between Recruiting hiring and promotion decisions at Salesforce are fair and based on merit The same goes for compensation benefits promotions transfers reduction in workforce recall training and education

📌 Software Engineering Mts/smts (bigdata) (Bengaluru)
🏢 Leading
📍 Bengaluru