דרושים Ml Engineering Mts / Smts ב-Salesforce ב-India, Bengaluru

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Secrets Management team, within the Data Security org, is looking for a Principal Software Engineer. As a technical leader on the team, you will play a crucial role in designing and developing robust secrets management solutions. You will lead multiple initiatives in parallel, mentor junior engineers via code reviews and technical guidance. You will collaborate with cross-functional teams to enhance our security posture and streamline operations. You will work on building solutions for challenging problem statements to improve our service availability and performance.

Primary Responsibilities:

* Experience and passion for service ownership, building scalable,reliable/self-healingservices.
* Lead architecture roadmap for IaC (Infrastructure as Code) on public cloud
* Lead architecture and implementation for public cloud security services specially in public cloud
* Security and privacy primitives including understanding of cryptography concepts.
* Follow trends in technology and apply new security approaches for device-identity, authentication, attestation, key-storage, and management.
* Prototype new features that will enable and secure both real-time and non-realtime peer-to-peer communication over heterogeneous networks.
* Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance.

Qualifications:

* Masters in Computer Science Engineering or equivalent
* 15+ years of hands-on experience working in a software development role in a product based software technology company.
* 5+ years experience in development in public cloud environments (AWS preferred)
* Excellent problem-solving skills and the ability to work in a fast-paced environment.
* Experience with IaC (Infrastructure as Code)
* Experience with public cloud security services
* Experience with container technologies (e.g., Docker, Kubernetes)
* Experience with cloud computing architectures and the associated security designs and challenges
* Hands-on experience and active coding skills using at least one of Golang, Java, C#, Python, Rust, C/C++
* Experience with the Secrets Management space, PKI/X509 and OWASP will be a desired qualification.
* Knowledge working with non-relational and relational databases including AWS DynamoDB, Cassandra and Postgres
* Familiar with open source technologies (prior experience with Hashicorp Vault is a plus)
* Vision Execution: Ability to translate strategic goals to technical and tactical requirements and architecture design.
* Good knowledge of operating systems and associated shell scripting
* Good knowledge with network technologies, such as TCP/IP, DNS or load balancers
* Experience with scrum or other agile development methodologies, with attention to code quality, delivering secure working software every sprint.
* Experience implementing zero trust security models
* Strong cross-functional leadership and team building skills
* Excellent verbal and written communication skills with experience engaging with customers regarding security

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As a Frontend Engineer you’ll use your extensive knowledge of JavaScript, HTML, and CSS to improve the Slack web client, a complex in-browser application relied upon by millions of users every day. You will work with real-time data streams, engineer for performance across browsers, and delight people by making the best software we can imagine. You will collaborate closely with Product, Design, Application Engineering, and QA to spec, conceptualize, build, test and deploy new features for our large (and growing!) user base.
What you will be doing* You'll brainstorm with Product Managers and Designers to conceptualize new features
* You'll collaborate with Application Engineering to build new features for our large-and-growing user base
* You'll learn about new web technologies and discuss potential solutions to problems
* Authors code that sets the standard for quality and velocity for their team and frequently establishes patterns that other teams can effectively contribute to.
* You'll help our skilled support team triage bugs and troubleshoot production issues
* You'll mentor other engineers and deeply review code* 10+ years of experience writing client-side JavaScript and React Framework
* Expertise in building complex layouts with CSS and HTML
* Experience building and debugging complex systems in a team environment
* Experience with modern browser technologies
* Strong UX and design sensibilities, and a desire to sweat the small stuff
* Strong communication skills, a positive attitude, and empathy
* Self-­awareness and a desire to continually improve
* You have a bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.* Experience with Typescript
* Experience with WebRTC
* Experience investigating and improving JavaScript performance
* Experience with WebSockets, Local Storage, or ES6
* Experience in small start­up environments
* Experience designing web sites or applications

• Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

• World-class enablement and on-demand training with

• Exposure to executive leaders with vision and regular 1:1 coaching with leadership

• Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

For more details, visit

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and

If you require assistance due to a disability applying for open positions please submit a request via this

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• Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineer

• Make critical decisions that attribute to the success of the product

• Proactive in foreseeing issues and resolving it before it happens

• Daily management of stand-ups as the Scrum Master for engineering teams

• Partner with PO to align with objectives, priorities, tradeoffs, and risk

• Ensuring teams have clear priorities and adequate resources

• Empowering the delivery team to self coordinate

• Be a multiplier and have a passion for team and team members’ success

• Providing technical guidance, career development, and mentoring to team members

• Maintaining high morale and motivating the delivery team to go above and beyond

• Vocally advocating for technical excellence and helping the teams make good decisions

• Participating in architecture discussions and planning

• Participating in multi-functional coordination, planning, and reviews with leads from other engineering teams

• Maintaining and encouraging our culture by interviewing and hiring only the most qualified individuals

• Occasionally chipping in to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical skill sharp

• A related technical degree required

• Min 13 years of Software Engineering experience with 3-5 years of proven track record leading sizeable teams with a distinguished track record on technically fast paced projects

• Experience leading large scale enterprise applications OR (there are 2 different roles) distributed systems, working with microservices and/or distributed architecture

• Strong verbal and written communication skills, organizational and time management skills

• Ability to be flexible, proactive, comfortable working with minimal specifications

• Experience with short release cycles, the full software lifecycle, and experience working on a product that’s been released for public consumption

• Experience in hiring, mentoring and leading engineers

• Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations

• Experience with Agile development methodologies. Scrum Master experience required

• Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs

• Strong knowledge of Salesforce product and platform features, capabilities, and best use of it

• Able to articulate the importance and value of Governance to Business and IT executives

• A good understanding of enterprise architecture principles is strongly preferred

• Ability to quickly grasp and distinctly explain technological and business concepts

• Serve as a trusted advisor, with a deep curiosity to understand your customers, their motivations and needs, and how to approach ensuring their success

• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

BENEFITS & PERKS

• Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

• World-class enablement and on-demand training with

• Exposure to executive thought leaders and regular 1:1 coaching with leadership

• Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

• For more details, visit

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and

If you require assistance due to a disability applying for open positions please submit a request via this.

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Role Description:

As a Senior Engineering contributor on the Agentforce platform team, you will own the architecture, design, and execution of our Agentic AI platform and applications. You’ll collaborate closely with software engineers, data scientists, product managers, and data teams to build and turn cutting-edge architecture and research into scalable, production-ready systems.

Key Responsibilities:

• Lead architecture and development of AI-powered backend systems and services.

• Design and optimize data pipelines for training and inference at scale.

• Work with product and business teams to translate user needs into technical requirements.

• Set technical direction and mentor engineers across teams.

• Drive adoption of MLOps best practices for model training, deployment, monitoring, and governance.

• Innovate in model building,but in how models are trained,deployed,and monitored

• Make strategic technical decisions on build vs buy, model selection, and infrastructure.
  

Required Skills:

• 12+ years of software engineering experience; 3–5+ years building AI/ML systems at scale

• Expertise in at least one object oriented programming language (Java/C++) and one ML native language (Python).

• Strong experience in Applied AI and building AI applications.

• Deep experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.

• Familiarity with LLMs, vector databases, and applied generative AI (e.g., OpenAI, LangChain, LlamaIndex, RAG pipelines).

• Strong background in system design, distributed systems, and cloud-native architectures (AWS/GCP).

• Experience in building and scaling ML pipelines, data engineering workflows, and API platforms.

• Proven ability to lead cross-functional teams and mentor engineers.

• Strong communication and collaboration skills across technical and non-technical teams.

• Ability to translate complex AI concepts into pragmatic engineering decisions

• Experience in startups or high-growth tech companies.
  

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and

If you require assistance due to a disability applying for open positions please submit a request via this.

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Responsibilities

• Architect and implement distributed systems to deliver security controls at the network level in Salesforce’s public and private clouds. Such solutions cover but are not limited to network policy management, ACLs enforcement, DDoS and network protection for containers.

• Develop software solutions and microservices to support our network security platforms in public clouds.

• Research and implement new networking security solutions and platforms for intra- and cross-datacenter network flows

• Advance and operate these security scanning platforms in a full DevOps model

• Operate in an Agile development environment, including participating in daily scrums

• Support the team’s engineering excellence by performing code reviews and mentoring junior team members

Requirements

• Industry experience:15+ years including:

  • 10+ years’ experience in SaaS, PaaS or IaaS software development

  • 5+ years’ experience in a high-availability 24/7 environment (cloud platforms are a plus)

• Education: ME/M.Tech in Computer Science/Engineering or BE/B.Tech. in same disciplines with equivalent years of experience

• Network Security: Hands-on expertise in building or managing software platforms for network security, including segmentation, ACLs, DPI, DDoS protection. Examples include:

  • Software: iptables, ipsec, VPN, IDS

  • WAF/OWASP protections etc

• Networking:Industry-level expertise in any of the following networking aspects

  • VM and containers network stacks (OpenStack’s Neutron, Cilium, Romana)

  • Network control planes and agents (Calico, Flannel, Contiv, Contrail, OVN)

  • OSI model and debugging network traffic

  • Networking protocols (TCP/UDP, BGP, DNS, DHCP)

  • Datacenter network architecture at software platform and hardware devices (NAT, VXLAN, overlay/underlay)

• Programming:Proficiency in object-oriented and multi-threaded programming in at least one of the following languages: Golang, Java, C++, Python

• Platform development:Proven track of designing and coding large-scale PaaS or IaaS systems, especially for public cloud providers (e.g., AWS, Azure, GCP)

• Software design:Demonstrated expertise in applying systems patterns (e.g., Client-server, N-tier, Master/Slave, MVC) and API constructions (e.g., Swagger, OpenAPI)

• Operating systems:Development and software management on Linux systems (e.g., CentOS, RHEL)

• Security:Strong knowledge in security fundamentals:authentication/authorizationframeworks (e.g., SSO, SAML, Oauth), secure transport (e.g., SSL, TLS), identity management (e.g., certificates, PKI)

• DevOps mindsetand strong ownership over owned code (test, monitor, deploy, maintain)

• Communication: Excellent oral and written communication skills

• Team:

Desired Skills/Experience

• Distributed systems:Expertise in designing, implementing and operating distributed systems architectures and concepts, including any of the following:

  • High-performance, high-availability (99.999%) and self-recoverable systems

  • Control, orchestration and automation platforms

  • RPC frameworks (e.g., Protobuf/gRPC, Thrift, Bond)

  • Consensus and consistency frameworks (e.g., Paxos, Raft, strong/eventual consistency)

  • Data-processing systems (e.g., Lambda architecture, Kafka, RabbitMQ, ELK)

  • Storage solutions (e.g., Cassandra, MongoDB, Hadoop, Redis, Zookeeper)

• VMs/Containers:Hands-on experience with VMs and container technologies (e.g., OpenStack, Docker, Kubernetes)

• Full-software ownershipfrom idea to running in production: design, code, writing unit tests, performing integration tests, deploying to production, supporting the system in the production environments

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and

If you require assistance due to a disability applying for open positions please submit a request via this.

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Salesforce is looking for Machine Learning Engineers to build generative AI services, pipelines and components to enable the development and delivery of Einstein GPT vision. You will work on and ship impactful generative AI platform, applications and products used by millions of people every day.
full-stack developmentand building
What you’ll do:

• Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production.

• Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis.

• Participate in periodic on-call rotations and be available for critical issues.

• Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production

• Develop application code through the use of established methods that meet acceptance criteria

• Develops stories, data mappings, test cases, and success criteria that inform development

• Understands and can build/deploy code through approved channels

• Tests application code through the use of established methods, these tests should all be automated and include unit tests, integration tests, functional tests, acceptance tests, performance tests, and smoke tests

Required Skills:

• Min 3 years (MTS) & Min 8 years (SMTS) years of industry experience of ML engineering in building AI system and/or services.

• Extensive programming experience as a Full-stack engineer

• Commitment to software engineering best practices – design, testing, documentation, code reviews etc

• Good knowledge of Java or similar programming languages.

• Prior experience with GenAI, chatbot, or NLP-based applications

• Experience with LLMs and prompt engineering

• Strong experience building and applying machine learning models for business applications

• Strong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorch

• Proven ability to implement, operate, and deliver results via innovation at large scale

• Experience with distributed,scalablesystems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc.

• Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.

Preferred Skills:

• eveloping deep learning models with complex business use cases and big amount of unstructured data.

• Solid Machine Learning Engineering background and familiarity with state-of-the-art deep learning techniques especially for NLP.

• Expertise with applying LLMs, prompt design, and fine-tuning methods

• Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods

• Experience with conversational AI

• Fantastic problem solver; ability to solve problems that the world has not solved before

• Excellent written and spoken communication skills

• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams

BENEFITS & PERKS

• Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

• World-class enablement and on-demand training with

• Exposure to executive thought leaders and regular 1:1 coaching with leadership

• Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

• For more details, visit

If you require assistance due to a disability applying for open positions please submit a request via this.

Posting Statement

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Job Details

• Technical program or engineering management experience at an enterprise technology company.
• Experience leading cross-functional teams.
• Strong knowledge of the SaaS business model and its product development lifecycle.
• Excellent analytical and problem-solving skills with a history of hands-on, detail orientation.
• Deep experience with the software development lifecycle; ability to adjust and apply this knowledge in a dynamic environment using agile methodologies.
• Ability to establish credibility and rapport with senior executives, and technical, and non-technical team members.
• Outstanding organizational, communication, andrelationship-buildingskills conducive to driving consensus; able to work well in a cross-functional, matrix management environment.
• Ability to master technical subjects and technologies relevant to the program.
• Exposure to data analytics and reporting is definitely advantageous (any CRM reporting tool)
• Strong verbal and written communication skills, organizational and time management skills
• Ability to successfully partner with all functions across the entire company.
• Bachelor’s degree or equivalent work experience.

• Familiar with Service Ownership and DevOps best practices.
• Experience managing SaaS Cloud Application releases.
• Experience with the Salesforce Platform and products.
• Familiarity with compliance and security standards, policies, and risk management.
• Public cloud infrastructure knowledge.
• Comfortable bending between the tactical and strategic.
• Ability to manage/juggle multiple priorities without loss of efficiency.

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Posting Statement